\r\n\tWith the discovery of more unconventional heavier crude and alternative hydrocarbon sources, primary upgrading or cracking of the oil into lighter liquid fuel is critical. With increasing concern for environmental sustainability, the regulations on fuel specifications are becoming more stringent. Processing and treating crude oil into a cleaner oil with better quality is equally important. Hence, there has been a relentless and continuous effort to develop new crude upgrading and treating technologies, such as various catalytic systems for more economical and better system performance, as well as cleaner and higher-quality oil.
\r\n
\r\n\tThis edited book aims to provide the reader with an overview of the state-of-the-art technologies of crude oil downstream processing which include the primary and secondary upgrading or treating processes covering desulfurization, denitrogenation, demetallation, and evidence-based developments in this area.
",isbn:"978-1-80356-681-8",printIsbn:"978-1-80356-680-1",pdfIsbn:"978-1-80356-682-5",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"808b0ddfb3b92e0636ae44a83ef7dbd9",bookSignature:"Dr. Ching Thian Tye",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11542.jpg",keywords:"Crude Oil Properties, Hydrocracking, Catalytic Cracking, Coking, Visbreaking, Thermal Cracking, Hydroprocessing, Hydrodesulfurization, Desulfurization, Denitrogenation, Demetallation, Dearomatization",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"March 22nd 2022",dateEndSecondStepPublish:"April 19th 2022",dateEndThirdStepPublish:"June 18th 2022",dateEndFourthStepPublish:"September 6th 2022",dateEndFifthStepPublish:"November 5th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"2 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"Associate professor at the School of Chemical Engineering in Universiti Sains Malaysia and dedicated researcher in fuel-related catalytic process and chemical reaction engineering. 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1. Introduction
The brain is a lipid-rich organ, with approximately 50% of its dry mass constituted by lipids [1]. The main lipid in the brain is cholesterol. The human brain represents only 2% of the total body mass but contains 25% of the total body cholesterol [2, 3]. Therefore, it is not surprising that lipids have important functions in the brain and that dysregulation of brain lipid metabolism has been linked to brain diseases, in particular Alzheimer’s disease (AD). The interest in understanding the link between lipids and AD pathology has increased dramatically since the 1990s, when it was discovered that the isoform 4 (ε4) of the cholesterol transport protein apolipoprotein E, is a major risk factor for AD development [4]. Since then an important body of evidence derived from genetic, epidemiological, and biochemical studies has identified the role of cholesterol in many critical aspects of AD neuropathology. The finding that a number of genes involved in cholesterol homeostasis represent susceptibility loci for sporadic or late-onset AD (reviewed in [5-9]), and the evidence that alterations in cholesterol homeostasis are significant in regulation of Aβ production, formation of amyloid plaques, tau hyperphosphorylation, Aβ toxicity, and other mechanisms (reviewed in [5, 10-12]) highlight the importance of the dysregulation of cholesterol homeostasis in AD. [7, 9, 13-20]. Cholesterol homeostasis disturbances in AD may be both consequences of the neurodegenerative process and contributors to the pathogenesis.
2. Cholesterol homeostasis in the brain
Cholesterol homeostasis is the balance between synthesis and uptake, and efflux and metabolism. In the brain, this process acquires peculiar characteristics because of differences in the ability of neurons and glia to perform each of these processes (Figure 1).
Figure 1.
Cholesterol homeostasis in the brain. Cellular cholesterol is synthesized from acetyl-CoA in a multistep mevalonate pathway. Cholesterol and Apo-E synthesized in astrocytes are secreted in an ABCA1-dependent process, forming discoidal lipoprotein particles, which can be further lipidated. Brain lipoproteins are delivered to the CSF. Apo-E is a ligand for LDLR family members, which mediate neuronal lipoprotein uptake, thereby providing a supply of cholesterol to neurons. Excess cholesterol is metabolized to 24-hydroxycholesterol, which crosses the BBB and passes into the circulation. A small part of cholesterol (~1%) is esterified by ACAT. Only insignificant amounts of plasma HDL or LDL cross the BBB under normal conditions.
Cholesterol synthesis is crucial in the brain because the brain is separated from the peripheral pool of cholesterol by the blood brain barrier (BBB), which, under normal conditions, is impermeable to plasma lipoproteins [2, 3]. Thus, brain cholesterol originates almost exclusively from de novo biosynthesis through the mevalonate pathway. Cholesterol synthesis in situ in the brain is very active in order to meet the brain demands. Cholesterol is essential for normal synaptogenesis and plays important roles in axonal development, neurotransmitter release and neurosteroid production [2, 21]. Brain cholesterol synthesis is sufficient to meet the demands during development and in adult life, although this local synthesis decreases with age [22]. Genetic defects in enzymes involved in cholesterol synthesis cause severe neurological abnormalities underscoring the importance of endogenous cholesterol synthesis for normal brain function [23, 24]. The identity of the cells responsible for cholesterol synthesis in the adult brain is still a matter of debate. Neurons have a lower rate of cholesterol synthesis than astrocytes [25] and outsource cholesterol from astrocytes to form and maintain axons, dendrites and synapses [21, 26, 27]. In fact, based on the discovery that suppression of cholesterol synthesis in vivo in adult cerebellar neurons did not affect the viability of the neurons or the shape and density of synapses [28], it was suggested that neurons do not require autonomous cholesterol synthesis and are minor contributors to adult brain cholesterol synthesis [28]. However, in situ hybridization demonstrated that transcripts of several enzymes involved in cholesterol synthesis localize specifically to neurons in pyramidal and granular layers of mouse hippocampus [29], indicating that some adult neurons maintain the ability to synthesize cholesterol. Yet, there is ample evidence that brain neurons utilize cholesterol derived from astrocytes. Astrocytes provide cholesterol to neurons via apolipoprotein-mediated efflux and formation of HDL-like particles containing apoE [27]. Adenosine triphosphate-binding cassette (ABC) transporters, mainly ABCA1, mediate lipidation of nascent lipoproteins [30]. Neurons import cholesterol via lipoprotein receptor-mediated endocytosis [31]. Astrocyte-secreted lipoproteins are delivered to the CSF but they don’t cross the BBB [32, 33].
Neurons convert excess cholesterol into a more polar metabolite that crosses the BBB, 24 (S) hydroxycholesterol (24-HC) by the enzyme cholesterol 24-hydroxylase (CYP46A1) [34, 35]. CYP46A1 is selectively expressed in the brain [36], in particular in pyramidal neurons of the hippocampus and cortex and in Purkinje cells in cerebellum, but not in astrocytes [25, 37]. 24-HC is a very important regulator of the mevalonate pathway (Section 3). In addition, 24-HC regulates cholesterol efflux in astrocytes [38]. Cholesterol also undergoes esterification catalyzed by the enzyme acyl CoA-cholesterol acyltransferase (ACAT) [39]. Although cholesterol esterification is not a major metabolic process in the brain, and cholesterol esters represent only 1% of the total cholesterol content in brains of human [40] and mice [41], ACAT has been identified as a crucial enzyme in AD [42].
Cholesterol-related genes that have been associated with AD encode primarily, components of the glia/neuron cholesterol shuttle processes, including apoE [4, 43], the apolipoprotein clusterin [44], ABCA1 [45-48], CYP46A1 [49-52], several members of the LDL receptor family [53-55], and ACAT [56]. Much less information is available with respect to the genetic association of AD with genes of enzymes of the mevalonate pathway. The few studies available did not provide strong associations. Thus, it is likely that changes in the mevalonate pathway identified in AD are a consequence of the disease. Here we focus on the evidence that indicate that the mevalonate pathway “per se” is affected in AD.
3. The mevalonate pathway in the brain and in AD
The brain produces cholesterol and a number of non-sterol isoprenoids such as farnesylpyrophosphate (FPP), geranylgeranylpyrophosphate (GGPP), ubiquinone and dolichol, exclusively through the mevalonate pathway. The mevalonate pathway comprises successive enzymatic reactions that convert acetyl-CoA into the different final sterol and non-sterol products [57, 58]. For the purposes of the discussion we have separated the mevalonate pathway in components: pre-squalene pathway, post-squalene pathway, shunt pathway and non-sterols isoprenoids pathway (Figure 2). The kinetics of the enzymes involved in the mevalonate pathway have been thoroughly studied [58, 59]. Enzymes of the mevalonate pathway are expressed in the brain of rodents and humans [29, 60] and the expression of many of them is developmentally regulated in the brain [61, 62]. Inborn defects in enzymes of the mevalonate pathway result in structural abnormalities of the brain and may be accompanied by neurodevelopmental/behavioral defects [63].
Figure 2.
The mevalonate pathway. The mevalonate pathway has been divided in different components to facilitate the understanding of its regulation.
There is only limited information of changes in the mevalonate pathway enzymes and lipid intermediates in AD brains, although certain exceptions exist. The lipid products of the mevalonate pathway seem to be regulated highly individually in AD, likely through post-translational modifications of the enzymes and/or changes in levels of substrates. Most of the studies on the mevalonate pathway in AD have focused on cholesterol, although more recent work has also paid attention to the non-sterol isoprenoid branch of the pathway. In this chapter we focused on studies performed in brains and brain cells although there is important evidence that changes in plasma cholesterol levels may be relevant to AD development and/or progression [64]. The interest in understanding the role of the mevalonate pathway in AD increased with the reports that patients taking statins had lower incidence of AD than the general population [13-17, 65]. More recent prospective studies have produced conflicting results on the matter [15-19]. This is still an area of intense research and debate.
The mevalonate pathway is tightly regulated at the transcriptional and post-transcriptional levels to avoid accumulation of cholesterol while maintaining proper supply of non-sterol isoprenoids.
3.1. Regulation of the mevalonate pathway by SREBP-2 and LXR
Transcriptional regulation of the mevalonate pathway is mediated by two main transcription factors namely sterol-regulatory element binding protein type-2 (SREBP-2) and liver X receptors (LXR). SREBP-2 belongs to a family of membrane-bound transcription factors that regulate cholesterol and fatty acid homeostasis. Studies in knockout and transgenic mice demonstrated that cholesterol synthesis is preferentially regulated by SREBP-2 [66, 67]. SREBP-2 is synthesized and inserted in the endoplasmic reticulum (ER) as an inactive precursor (P)SREBP-2 [68]. (P)SREBP-2 has two transmembrane helices with the N- and C- terminals projecting into the cytosol [68]. The C-terminus of (P)SREBP-2 interacts with C-terminus of SREBP cleavage-activating protein (SCAP), a sterol-regulated escort protein. SCAP has eight transmembrane helices, of which transmembrane helices 2-6 are defined as a sterol sensing domain [68, 69]. (P)SREBP-2-SCAP complex has to be transported into coat protein complex II (COPII) vesicles that bud from the ER and travel to the Golgi complex [70]. Mice with haploinsufficiency of SCAP in the brain had reduced SREBP-2 processing and reduced SREBP-2 expression. Consequently, reduced SCAP level resulted in decreased expression of many enzymes in the mevalonate pathway and 30% reduction in cholesterol synthesis leading to impaired synaptic transmission and cognitive deficits [71]. At the Golgi, sequential proteolytic cleavage of (P)SREBP-2 by Site-1-protease (S1P) [72] and Site-2-protease (S2P) [73] releases the N-terminal /mature/nuclear SREBP-2 ((M)SREBP-2) that enters the nucleus to regulate gene transcription [66, 68, 74]. In the nucleus, (M)SREBP-2 binds to sterol regulatory elements (SREs) in the promoter of target genes in order to regulate gene expression [68]. SREBPs alone are relatively weak activators of gene expression. Transcriptional activities of SREBPs are highly enhanced by other cofactors such as nuclear factor Y(NF-Y) [75] and specificity protein-1 (sp-1) [76] or by the presence of two SRE motifs as in genes encoding enzymes such as 3-hydroxy-3-methylglutarylCoA reductase (HMGCR), squalene synthase [75] and 24-dihydrocholesterol reductase (DHCR24) [77]. (M)SREBP-2 increases the expression of most enzymes involved in the mevalonate pathway and the expression of LDLR involved in exogenous cholesterol uptake [66, 67]. In addition, SREBP-2 increases the expression of miR33a (encoded by an intron of SREBP-2) and miR128-2. miR33a and miR128-2 block ABCA1 and ABCG1 expression reducing cholesterol efflux [78-84]. High level of (M)SREBP-2 were detected in pyramidal neurons in hippocampus and cerebral neocotex of normal rat brain [85]. The main regulator of SREBP-2 proteolytic processing is cholesterol. When ER cholesterol falls below 5% of total ER lipids (molar basis), SREBP-2 cleavage is activated [86]. On the other hand, when cholesterol accumulates at the ER, it binds to SCAP inducing a conformational change that promotes SCAP binding to ER integral membrane proteins Insulin-Induced gene-1 or 2 (Insig-1 and Insig- 2) [87, 88]. Once bound to Insigs, SCAP is unable to bind to COPII and the SCAP-(P)SREBP-2 complex is not transported to the Golgi leading to reduced SREBP-2 processing [89]. In vitro experiments revealed that cholesterol, and the cholesterol precursors desmosterol and 7-DHC, but not lanosterol or oxysterols are able to change SCAP conformation [87]. Desmosterol and cholesterol bind to SCAP in a similar manner [88, 90, 91]. Oxysterols also reduce SREBP-2 processing but they do so by binding directly to Insigs and not to SCAP [92]. SREBP-2 positively regulates its own expression via binding to SRE in the promoter of its own gene [93]. It also increases expression of specific miRNAs for negative SREBP-2 regulators such as miR-182, which reduce expression of Fbxw7, an E3 ubiquitin ligase involved in nuclear SREBP-2 degradation and miR-96, which targets Insig-2 [94]. Therefore, miR-182 and miR-96 increase SREBP-2 processing, reduce its degradation and consequently enhance its transcriptional activity.
LXRs (LXRα and LXRβ) also play a role in the regulation of the mevalonate pathway by activating or inhibiting expression of enzymes of the mevalonate pathway (reviewed in [95]). LXR are ligand-activated transcription factors belonging to the nuclear hormone receptor superfamily [96, 97]. Expression level of LXRα in the brain is much lower than in the liver, however, LXRβ is highly expressed in the brain compared to the liver [98]. SREBP-2 and LXR work in harmony in order to regulate the mevalonate pathway. SREBP-2 activation will enhance cholesterol production and consequently oxysterol production, leading to LXR activation and LXR targets expression [99]. On the other hand, LXRs activation enhances cholesterol efflux, reduces cellular cholesterol uptake [100, 101] and suppresses the expression of some enzymes in the post-squalene mevalonate pathway [102]. Consequently, LXR activation will reduce cellular cholesterol level leading to SREBP-2 processing and activation. In accordance, synthetic LXR agonist GW683965A significantly increased SREBP-2, LDLR, and HMGCR expression in astrocytes by indirect mechanims [38]. Moreover, significantly reduced number of SREBP-2 and HMGCR transcripts were detected in brains of LXRα and β null mice [103].
3.1.1. Transcriptional regulation of the mevalonate pathway by SREBP-2 in AD
Transcription factor profiling showed no difference in SREBPs between non-demented and AD brain cortical samples [104], however it was not discriminated if the probe was for SREBP-2 or SREBP-1. In autopsied hippocampus of patients with incipient AD, SREBF-1 was found to be elevated [105]. Haploinsufficiency of Scap, a key regulator of SREBP-2, in mice brain resulted in impaired synaptic transmission, as measured by decreased paired pulse facilitation and long-term potentiation; and was associated with behavioral and cognitive changes [71], suggesting that down-regulation of the mevalonate pathway may play an important role in the increased rates of cognitive decline in AD. Studies at the subcellular level suggest that SREBP-2 may be posttranslationally regulated in AD. We demonstrated that oAβ42 inhibit SREBP-2 maturation in cultured neurons [106]. We also discovered that the levels of (M)SREBP-2 are reduced in the frontal cortex of the AD CRND8 mouse [107], suggesting that the negative regulation of SREBP-2 may also occur in vivo in AD. Recently, it was reported that APP also controls neuronal cholesterol synthesis through the SREBP pathway [108]. These studies showed that APP levels inversely correlate with SREBP in mice and man, and demonstrated that inhibition of the mevalonate pathway by APP impairs neuronal activity. The interaction of APP and SREBP-1 in the Golgi prevented the release of mature SREBP-1 and the translocation of SREBP-1 to the nucleus. Our data, on the other hand, indicated that Aβ42 did not affect the enzymatic cleavage of SREBP-2 “per se” nor did it block mature SREBP-2 translocation to the nucleus, but impaired the delivery of SREBP-2 to the Golgi preventing cleavage of (P)SREBP-2 [107]. Interestingly, the regulation of SREBP by APP takes place preferentially in neurons. In astrocytes, APP and SREBP1 did not interact nor did APP affect cholesterol biosynthesis, but neuronal expression of APP decreased both HMGCR and cholesterol 24-hydroxylase mRNA levels leading to inhibition of neuronal activity [108].
3.2. Pre-squalene pathway
The pre-squalene mevalonate pathway is depicted in Figure 3. Acetoacetyl Co-A is formed from two moles of acetyl Co-A in the presence of acetoacetyl Co-A thiolase. 3-hydroxy-3-methylglutaryl (HMG) Co-A is formed from one mole of acetyl Co-A and acetoacetyl Co-A in the presence of HMG Co-A synthase (HMGS). HMGCR converts HMG Co-A to mevalonic acid [109]. The rate-limiting enzyme of the pathway is HMGCR [110], one of the most highly regulated enzymes in nature [111]. In human brains HMGCR expression was demonstrated in both neurons and glia [112]. Studies in adult mouse brain tissue showed HMGCR expression within cortical, hippocampal, and basal forebrain cholinergic neurons [29, 60]. HMGCR protein and activity are localized in the ER and peroxisomes in the CNS [113] and in other organs. Due to the critical function of this enzyme early in the mevalonate pathway, there are no human syndromes known to be associated with HMGCR loss of function, and mouse embryos homozygous for the Hmgcr knockout allele do not progress beyond the blastocyst stage. On the other hand mice heterozygous for the Hmgcr mutation showed normal development, gross anatomy, and fertility (reviewed in [114]). HMGCR is the target of statins.
Figure 3.
The pre-squalene pathway. Schematic representation of the pre-squalene mevalonate pathway and key enzymes regulating FPP synthesis. The rate-limiting enzyme of the pathway is HMGCR. Several regulatory feedback mechanisms exist at the level of many enzymes of the pathway.
The product of HMGCR, mevalonic acid, is phosphorylated sequentially to 5-phosphomevalonate by the enzyme mevalonate kinase (MK) and to 5-pyrophosphomevalonate by phosphomevalonate kinase (PMK). MK is the second essential enzyme of the isoprenoid/cholesterol biosynthetic pathway [115]. Inherited mutations in human MK are correlated with two diseases characterized by neurological dysfunction namely mevalonic aciduria and Hyper-IgD syndrome (reviewed in [114, 116]).
5-Pyrophosphomevalonate is converted to isopentenylpyrophosphate (IPP) by mevalonate diphosphate decarboxylase. IPP is required for synthesis of all further products of the mevalonate pathway [117]. IPP is isomerized to dimethylallyl pyrophosphate (DMPP) in the presence of IPP isomerase (IPPI) [58, 118].
IPP and/or DMPP are required for isopentenylation, which is an essential modification of specialized tRNA that transfers the amino acid selenocysteine (tRNASec) [119, 120]. Selenoproteins have been implicated in protein folding, degradation of misfolded membrane proteins, and control of cellular calcium homeostasis, all processes known to be dysfunctional in neurodegenerative diseases [121, 122]. Moreover, neuron-specific ablation of selenoprotein expression causes a neurodevelopmental and neurodegenerative phenotype affecting the cerebral cortex and hippocampus [123]; and impaired expression of selenoproteins in the brain triggers striatal neuronal loss leading to coordination defects in mice [124]. Statins, by reducing production of IPP, interfere with the enzymatic isopentenylation of tRNASec and prevent its maturation to a functional tRNA molecule, resulting in the reduction of the expression of selenoproteins [125]. Other functions of IPP include its antinociceptive effect, mediated by inhibition of transient receptor potential (TRP)-channels, TRPV3 and TRPA1 [126]. Interestingly, DMPP has effects on TRP- channels opposites to those of IPP, inducing enhanced acute pain behavior [127].
IPP combines with DMPP to form geranyl pyrophosphate (GPP); and GPP is condensed with another molecule of IPP to yield farnesylpyrophosphate (FPP). GPP and FPP syntheses are catalyzed by farnesylpyrophosphate synthase (FPPS), a prenyltranferase [128-130]. FPP initiates the branches of the pathway that generate cholesterol and non-sterol isoprenoids.
3.2.1. Regulation of enzymes of the pre-squalene pathway
HMGCR is the rate-limiting enzyme of the mevalonate pathway. HMGCR is transcriptionally activated by SREBP-2 [131]. The presence of two SRE motifs in HMGCR promoter leads to a higher level sterol-dependent regulation [75]. Gene regulation by the SREBP pathway is slow and its down-regulation requires several hours to effectively decrease mRNA of target genes [132]. In order to accomplish a rapid (within 1 h) switch off of cholesterol synthesis HMGCR is extensively regulated at the translational and posttranslational levels (Figure 3). HMGCR is post-transcriptionally regulated by alternative splicing/skipping of exon 13 leading to production of a shorter unproductive transcript that encodes an inactive enzyme. In the liver, HMGCR alternative splicing is regulated by sterols (cholesterol and 25-hydroxycholesterol), so sterol accumulation increases the proportion of shorter transcript and vice versa. Interestingly, sterol-mediated alternative splicing of HMGCR occurs faster than sterol-mediated transcriptional inhibition of HMGCR [133]. Mevalonate and certain downstream derivatives such as dioxidolanosterol (a shunt pathway intermediate) and GOH regulate HMGCR mRNA translation reducing its rate of synthesis [134-137]. Mevalonate has been shown to change polysome distribution of HMGCR mRNA leading to inhibition of HMGCR translation at the initiation step [138]. HMGCR is post-translationally regulated via phosphorylation and ubiquitin/proteasomal degradation. Short-term regulation of HMGCR is mediated via phosphorylation by AMPK and dephosphorylation by PP2A (protein phosphatase 2A). HMGCR exists in the cell in both unphosphorylated (active) and phosphorylated (inactive) states [139-141]. As a master regulator of cellular energy homeostasis, AMPK phosphorylates HMGCR to inhibit cholesterol synthesis, an energy intensive process. The implications of AMPK-mediated regulation of HMGCR are controversial. In mutant Drosophila lacking functional AMPK, higher activity of HMGCR and consequent higher rate of the mevalonate pathway were associated with progressive neurodegeneration [142]. On the other hand, activation of AMPK by quercetin reduced HMGCR activity, cholesterol synthesis and enhanced cognitive functions in high cholesterol fed old mice [143]. The best understood mechanism of HMGCR post transcriptional regulation is the sterol-mediated ubiquitination and proteasomal degradation. This mechanism requires binding of HMGCR to Insig-1 or Insig-2 and recruitment of Ring-finger ubiquitin ligases, Gp78, Trc8, and MARCH6 [144-146]. Insig binds to the sterol-sensing domain in HMGCR [147]. HMGCR share many sequence similarities in the sterol-sensing domain with SCAP, thus Insigs can bind with both HMGCR and SCAP [148]. The binding of Insigs has radically different consequences for SCAP and HMGCR. Upon binding Insig, HMGCR is ubiquitinated and degraded [147, 149], whereas, as indicated above SCAP is retained in the ER [89]. Both processes inhibit the mevalonate pathway. The oxysterols 25-EC (synthesized by the shunt pathway, Section 3.3.1.) and 24-HC; and the post-squalene intermediate 24, 25-dihydrolanosterol (Section 3.3.0), but not cholesterol, bind to Insigs and induce HMGCR degradation [91, 150-152]. Indeed, it is the accumulation of 24, 25-dihydrolanosterol the mechanism by which LXRα enhances HMGCR [102]. Adding an additional level of regulation, the non-sterol isoprenoid GGPP antagonizes LXR, blocking HMGCR degradation [153, 154]. Studies in vitro suggested that two metabolites of the non-sterol isoprenoids pathway namely farnesol (FOH) and geranylgeranyol (GGOH) enhance HMGCR degradation beyond the effect elicited by sterols. FOH and GGOH do not target the interaction between Insigs and HMGCR but seem to rely on protein prenylation [147, 155-158]. Consequently, a GGPP synthase (GGPPS) inhibitor, and a geranylgeranyl transferase I (GGTaseI) inhibitor prevented the enhancement of HMGCR degradation [155].
MK is regulated transcriptionally by SREBP-2 through an SRE in its promoter (Horton 2002). MK activity is post-translationally reduced by GGPP, FPP, GPP and dolichol phosphate via competitive inhibition at ATP binding site [159, 160]. GGPP is the strongest inhibitor of MK activity.
3.2.2. Pre-squalene mevalonate pathway in AD
Information on the status and regulation of HMGCR in AD is very limited. HMGCR is the most important enzyme of the pre-squalene mevalonate pathway. No changes in gene expression of HMGCR were found in AD brain in humans and in a mouse model of AD [161]. Genetic association of HMGCR was found in patients under the age of 75 [162], and HMGCR promoter polymorphisms alone or with polymorphisms in other proteins of cholesterol homeostasis were associated with AD risk and cognitive deterioration in some studies [163, 164], but not in all populations [165]. The AlzGene meta-analysis for HMGCR is negative [7]. Poirier’s group identified HMGCR as a genetic modifier for risk, age of onset and mild cognitive impairment (MCI) conversion to AD. In their recent study they found that carriers of a specific variant of HMGCR display a protective effect that resembled in size and gender to what has been reported for APOE2 in humans [166]. Information on protein HMGCR levels and activity in the carriers’ brains is expected to be available soon. Age- and sex-dependent dysregulation of HMGCR occurs in the liver [167], but to our knowledge similar mechanisms have not been reported in the brain. Studies showed high levels of the HMGCR mRNA in all areas of the brain but no obvious differences were found between AD and controls [168]; similarly levels and gene expression of HMGCR were comparable in AD and control samples in another study [169].
FPPS is the last enzyme of the pre-squalene pathway. In two small samples, polymorphisms of FPPS or their haplotypes were associated with AD [8]. But in other samples FPPS variants were not related to AD risk. The AlzGene meta- analysis for FPPS polymorphisms is negative [7].
3.3. Post-squalene pathway
The post-squalene mevalonate pathway is depicted in Figure 4. FPP is converted to squalene by the action of squalene synthase (farnesyl diphosphate farnesyl transferase 1) [170]. Squalene synthase is the first enzyme in the mevalonate pathway whose product, squalene, is committed to cholesterol synthesis. The lack of reports indicating genetic disorders linked to mutations in squalene synthase suggest that this enzyme may be essential in embryonic development (discussed in [114]). In fact, deletion of squalene synthase is embryonic lethal in mice [171]. Squalene synthase is inhibited by zaragozic acid.
Figure 4.
The post-squalene pathway. The final product of the post squalene pathway is cholesterol. Most enzymes of the post-squalene pathway are targets of SREBP-2. Other posttrancriptional regulatory mechanisms also exist.
Squalene is converted to monooxidosqualene (MOS), which can be further converted to lanosterol and dioxidosqualene (DOS). Formation of both MOS and DOS requires the action of the enzyme squalene monooxygenase (SM) (also called squalene epoxidase). Lanosterol is the first sterol intermediate in cholesterol synthesis. Lanosterol is metabolized to cholesterol by 19 enzymatic steps. In the brain, as in the liver, there are two major pathways for the conversion of lanosterol to cholesterol. The Kandutsch–Russell pathway includes lathosterol and 7-dehydrocholesterol (7-DHC) as intermediates; while the Bloch pathway, uses desmosterol as an intermediate (reviewed in [172]. Post lanosterol precursors are present in all cells that synthesize cholesterol, although they might represent a minor sterol component due to their rapid conversion to downstream metabolites, or to their release from cells [173, 174]. A special scenario is present in embryonic mouse astrocytes, which, freshly dissociated from the striatum or after being cultured for several days, contain desmosterol as a major membrane sterol, accounting for roughly 50% of total sterols [175]. In young rodents, brain cholesterol is mainly synthesized via the desmosterol pathway, while the Kandutsch–Russell pathway is predominant in older rodents [176, 177]. Desmosterol transiently accumulates up to 30% of total sterols in the mammalian brain during development and in the perinatal period indicating the activity of the Bloch pathway [178-183]. In humans the Bloch-pathway plays a minor role in the formation of CNS cholesterol during aging [22]. Neurons and glia seem to use different pathways downstream of lanosterol. Neurons contain precursors for the Kandutsch-Russel pathway (e.g., 7-DHC) whereas astrocytes contain precursors for the Bloch pathway (e.g., desmosterol) [25]. Disturbances in either of these two pathways may result in replacement of cholesterol with its precursors in the brain, which causes serious disorders of the nervous system [184, 185]. Serum lathosterol is considered an indicator of whole body cholesterol synthesis in humans [22, 186, 187]. Lanosterol and desmosterol together with lathosterol are regarded as tissue markers of local cholesterol synthesis [22].
7-DHC and desmosterol are the immediate cholesterol precursors of the Kandutsch-Russel and the Bloch pathways respectively. 7-DHC is converted to cholesterol by 7-DHC reductase (DHCR7). Mutations in the DHCR7 gene cause the human genetic disease Smith-Lemli-Opitz syndrome, characterized by a wide spectrum of developmental anomalies that may result from decreased cholesterol, increased 7-DHC, or a combination of both [184, 188, 189]. Desmosterol is reduced to cholesterol by the enzyme DHCR24, also known as seladin-1 [190]. DHCR24 catalyzes the 24,25-reduction reactions in the cholesterol biosynthesis pathway and may act on most intermediates of the Bloch pathway [23, 114, 191, 192]. Disruption of the DHCR24 gene results in accumulation of desmosterol and is characterized by multiple congenital anomalies in humans and mice [190, 193, 194]. Desmosterol is an abundant structural membrane component in astrocytes [175]. In the brain, high desmosterol levels are present during development [181, 182]. During aging, hippocampal levels of desmosterol decrease significantly in the rat [176]. Desmosterol is a natural ligand of LXR [195].
From the two reductases that participate in the later steps of cholesterol synthesis production, DHCR24 is important in AD and therefore is discussed here in more detail. DHCR24 is encoded by a single gene (Dhcr24) on chromosome 1, an evolutionarily conserved gene with homologies to a family of flavin adenine dinucleotide-dependent oxidoreductases [196]. DHCR24 is detected in many tissues, including brain, adrenal glands, pituitary, thyroid gland, ovary, testis, and prostate [197-199]. Dhcr24 was initially identified as a gene down-regulated in affected brain regions in AD [196] and consequently its product has also been called Seladin-1 from Selective Alzheimer’s disease indicator 1. However, current evidence indicates that DHCR24 has functions that go beyond those expected from its enzymatic activity in the mevalonate pathway. The roles of DHCR24 in oxidative stress, hepatitis C virus infection, cardiovascular disease, prostate cancer and other conditions have been recently discussed in detail [200]. The role of DHCR24 in AD is discussed in Section 3.3.3.
3.3.1. Shunt in the post-squalene pathway
Conversion of MOS to DOS establishes an alternate pathway leading to the production of (24S,25)-epoxycholesterol (25-EC) [201] (Figure 2). This shunt in the mevalonate pathway functions in parallel to the conversion of lanosterol to cholesterol [202]. 25-EC is the only oxysterol that does not derive from cholesterol. It is present in rodent brain [203], where it is proportionally more important than 24-HC during development and the perinatal period, but not in the adult [204]. Production of 25-EC represents a cellular defense mechanism against accumulation of cholesterol that derives from the mevalonate pathway (as opposed to exogenously-derived cholesterol) [202]. 25-EC is responsible of the fine-tuning of cholesterol synthesis, and without it, acute cholesterol synthesis is exaggerated [205]. 25-EC is synthesized in both human neurons and astrocytes, and the proportion synthesized by astrocytes is an order of magnitude higher than that of neurons [206]. Astrocytes but not neurons secrete 25-EC and neurons internalize this oxysterol. Interestingly, 25-EC reduced the expression of SREBP-2 target genes and increased expression of LXR target genes in both astrocytes and neurons [205-208]. 25-EC may represent an additional regulatory signal between astrocytes and neurons in cholesterol homeostasis [206]. 25-EC is an important negative regulator of the mevalonate pathway (Section 3.2.1).
3.3.2. Regulation of enzymes of post-squalene pathway
All the enzymes of the post-squalene pathway are transcriptionally activated by SREBP-2 [67, 132, 209]. In addition, LXRα represses transcription of squalene synthase and lanosterol-14α demethylase directly [102].
Posttranslationally, cholesterol and desmosterol but none of the oxysterols enhance SM degradation [210]. MARCH6, also known as Teb4, functions as a selective ubiquitin ligase for SM ubiquitination and consequent proteasomal degradation [146, 211]. Cholesterol-induced degradation of SM is a novel feedback mechanism regulating the mevalonate pathway to prevent cholesterol accumulation without affecting isoprenoid supply.
DHCR24 is regulated by diverse mechanisms at the transcriptional and posttranslational levels. Several studies have identified the Dhcr24 gene as a target of SREBPs [67, 212-214]. In brains of statin-treated mice, there is activation of SREBP-2 and significant up-regulation of DHCR24 in cortex and hippocampus [215]. SREBP-2 binds to two (SREs) present within the Dhcr24 promoter, inducing a novel mode of transcriptional regulation for SREBP-2, characterized by homotypic cooperativity [77]. This type of regulation may warrant that a threshold of active SREBP-2 is reached before committing to the energetically expensive process of cholesterol synthesis [77, 200]. A novel mechanism of DHCR24 transcriptional activation by the transcription factor RE1-silencing transcription factor (REST), which is normally a repressor, has been recently reported [183]. Although this may be a secondary mechanism of DHCR24, the reduced levels of REST present in the brain during development may explain, at least in part, the reduced activity of DHCR24 and the consequent elevation of desmosterol [183]. Interestingly LXR has also been implicated in the regulation of DHCR24 as data from a whole genome screen for LXR binding sites showed that the Dhcr24 gene contained a functional LXR response element [216]. LXR regulation of DHCR24 seems to be tissue specific. LXR did not influence DHCR24 expression in some studies [77], and at least in studies using mice deficient in LXRβ, this regulation does not seem to take place in brain [216]. DHCR24 displays epigenetic regulation by methylation and histone acetylation due to the presence of GC rich regions within the DHCR24 promoter [217]. At the post-translational level DHCR24 activity is inhibited by certain oxysterols (25EC) [218] and by progesterone possibly by direct enzyme inhibition [182]. In addition, a novel mode of DHCR24 inhibition through phosphorylation has been demonstrated, which may allow a rapid inhibition of cholesterol synthesis [219].
3.3.3. Post-squalene pathway in AD
From the enzymes involved in the post-squalene section of the mevalonate pathway, DHCR24 is the most important in AD. A study comparing gene expression by using mRNA differential display identified the down-regulation of DHCR24 in large pyramidal neurons in vulnerable regions in AD but not in healthy brains [196]. This finding was confirmed by others [220], although this may not apply to all AD patients [221]. The down-regulation in DHCR24 transcription was associated with hyperphosphorylated tau but not with β-amyloid deposition [220]. Single nucleotide polymorphisms of DHCR24 have been associated with AD risk [222]. However, these associations have not been confirmed, and other polymorphisms of DHCR24 only associated with AD in men but not in women [223]. Based on the evidence that DHCR24 expression is higher in neural stem cells than in differentiated neurons [224] it was hypothesized that reduced DHCR24 expression might be due to the existence of an impaired neuronal stem cell compartment [225]. Alternatively, transcriptional regulation of DHCR24 may be altered in AD. Indeed, recent studies indicated that the transcription factor REST, identified as a DHCR24 transcriptional activator [183] is lost in mild cognitive impairment and AD [226]. In addition, we have demonstrated that Aβ causes a significant decrease of SREBP-2 activation in neurons [106]; and we found reduced SREBP-2 activation in brain cortex of the AD mouse model CRND8 [107]. These observations suggest that, as the disease progresses reduced DHCR24 levels would not be unique, and that other enzymes of the mevalonate pathway would also be affected in brain cells that accumulate Aβ. However, taking in consideration the cooperative transcriptional mechanism of regulation exerted by SREBP-2 on DHCR24 [77], it is expected that DHCR24 would be particularly sensitive to reduced SREBP-2 activation. A general reduction of the mevalonate pathway could also explain why the levels of desmosterol are decreased in AD brains [227], contrary to what would be predicted if only DHCR24 were down-regulated. If these mechanisms exist in vivo in the brain, then the decrease of DHCR24 would be a consequence, rather than a cause of AD. Contrary to the findings in humans, the levels of desmosterol were elevated in the APPSLxPS1mut mouse model of AD, which also showed a significant decrease in DHCR24 in those brain areas [161]. DHCR24 has neuroprotective effects against Aβ toxicity, ER stress and oxidative stress-induced apoptosis, inhibiting caspase 3 activity and directly scavenging reactive oxygen species [196, 228, 229]. Many other studies have reported the antioxidant properties of DHCR24 in a variety of tissues and in the context of different diseases (reviewed in [200]). Importantly, DHCR24 mediates the protective effects of estrogens in cultured human neuroblasts since estrogen and selective estrogen receptor modulators (SERMs) stimulate the expression of DHCR24 in human neuroblast long-term cell cultures [230, 231]. The neuroprotective action of DHCR24 against Aβ may be due to its ability to maintain plasma membrane cholesterol at levels that prevent the rise of intracellular calcium and the production of ROS and lipoperoxidation that contributes to Aβ toxicity [232-234]. The relevance of these mechanisms in vivo in the brain requires confirmation, especially because there is ample evidence suggesting that high plasma membrane cholesterol may be detrimental in Aβ-induced toxicity (reviewed in [11]). The reduction of cholesterol in cell membranes due to DHCR24 may impair lipid raft functions and favor Aβ accumulation by a combination of inefficient Aβ degradation (due to low plasmin activity) and increased APP amyloidogenic cleavage [235]. Thus, all these mechanisms suggest the existence of vicious feedback cycles involving Aβ and DHCR24.
The post-squalene pathway results in production of cholesterol. There is little consensus about total brain cholesterol alterations in patients with AD [236-238]. Using different methods for measuring cholesterol (discussed in [237]), some studies found no change in cholesterol content in any portion of the brain [239, 240] or the hippocampus [241] in AD brains, while other studies reported changes in cholesterol levels in specific brain areas, particularly in regions with extensive Aβ deposits and neurofibrillary tangles (NFTs). Xiong and collaborators found an increase in cholesterol in the cortex of AD brains [104], Heverin et al. described a significant increase of cholesterol concentration in the basal ganglia but not in other brain areas in a small group of AD brains [242] and Cutler at al. reported accumulation of free cholesterol in the middle frontal gyrus and frontal cortex but not the unaffected cerebellum in AD brains from individuals expressing apoE4 [243]. It was also indicated that, as the severity of the disease progressed, there was an increase in membrane- and amyloid plaque-associated cholesterol [243-245]. Cholesterol levels were lower in the temporal gyrus of autopsied brains of AD patients compared to control subjects [246].
Analysis of post squalene cholesterol precursors also provided conflicting results. Lathosterol was reported to be elevated in the basal ganglia and the pons in AD but the ratio of lathosterol to cholesterol, used as a marker for cholesterol synthesis, was not significantly different between controls and AD patients suggesting that cholesterol synthesis is normal [242]. More recently a model for cholesterol homeostasis deregulation was proposed based on the measurement of post-squalene cholesterol precursors, cholesterol and oxysterol in brains of individuals with no-cognitive impairment, MCI and AD [247]. In ‘compensated’ MCI and initial AD there would be a heme oxygenase-1-mediated stimulation of cholesterol synthesis and cholesterol efflux in the astroglial compartment to allow cholesterol delivery for neuronal repair. As the disease progresses, massive uptake of cholesterol derived from widespread neuronal degeneration would overwhelm glial efflux pathways resulting in increased brain cholesterol levels and feed-back suppression of de novo cholesterol synthesis. This model could explain the findings in CSF. In CSF, cholesterol levels were significantly lower in AD patients as compared to controls [248, 249], and absolute levels of lanosterol, lathosterol and desmosterol and ratios of cholesterol precursors/cholesterol were also significantly reduced strongly indicating that de novo cholesterol synthesis within the CNS of AD patients might be impaired [248]. In the latter study, only the ratio of desmosterol/cholesterol was not significantly different in AD patients as compared to controls, but the increased CSF ratios of desmosterol/lathosterol suggests that the activity of the Kandutsch–Russell pathway might be reduced more than the Bloch pathway. The authors proposed that reduced expression of DHCR24 also contributes to decreased levels of cholesterol in AD patients and may explain the high levels of desmosterol found in AD in some studies [220, 250]. However, in other cases brain levels of desmosterol were reduced in AD [227]. This last finding agrees with the possibility that mevalonate pathway enzymes other than DHCR24 may also be down-regulated in AD, perhaps by a mechanism that involves SREBP-2 inhibititon. A further indication that cholesterol synthesis might be inhibited in AD is the finding that neurosteroids, which result from cholesterol metabolism, are reduced in AD temporal cortex as compared to control subjects [251]. It is important to highlight that changes in levels of cholesterol intermediates in brains of mouse AD models do not parallel changes in human patients. In the APP transgenic mice carrying the Swedish mutation (APP23), no differences in the levels of lathosterol, desmosterol or cholesterol and were found when compared with wild-type animals [177]. These differences must be considered when using animal models to study the mevalonate pathway.
It is possible that a change in the distribution of cholesterol inside brain cells rather than a change in total cholesterol content may influence AD pathology [252]. We have shown that Aβ induces cholesterol sequestration within the neuronal endosomal/lysosomal system, and impairs intracellular trafficking [106]. Our findings provide an explanation to the cellular cholesterol overload reported in brains of AD patients [253]. They also agree with previous work that showed cholesterol sequestration specifically in Aβ-immunopositive neurons [104, 254, 255], and with studies in transgenic mouse models of AD where cholesterol sequestration in the brain was preceded by Aβ accumulation and/or coincided with areas of Aβ accumulation [244, 256, 257]. These studies underscored the relevance of cholesterol sequestration in AD. This is important because a causal relationship between cellular cholesterol sequestration and cell death has been found in Niemann-Pick Type C (NPC) pathology [258]. NPC is a disorder characterized by impairment of intracellular cholesterol trafficking and cholesterol sequestration in the endosomal compartment [259]. Accumulation of cholesterol within the endosomal-lysosomal system in NPC not only triggers degeneration of neurons in selected brain regions but also leads to abnormal processing of APP and Aβ generation as observed in AD pathology. The similarities between AD and NPC include the presence of immunologically similar tau-positive NFTs [254, 260], the influence of ε4 isoform of apoE in promoting disease pathology [261], and endosomal abnormalities associated with the accumulation of cleaved APP derivatives and/or Aβ peptides in vulnerable neurons [262, 263]. Importantly, strategies previously used to reduce cholesterol sequestration in NPC and strategies that reduce cholesterol levels by increasing cholesterol metabolism improved pathological symptoms in mouse models of AD [264, 265].
Preclinical and clinical studies have indicated the critical role of cholesterol in AD. This topic has been reviewed extensively and thoroughly in the past years [11, 12, 18, 236, 238, 266-268], thus it is not discussed in this chapter. The best-studied role of cholesterol is in the production of Aβ from amyloid precursor protein (APP). Overall, the evidence indicates that increase in cellular cholesterol causes an increase in Aβ production, although some studies showed the opposite [11, 12, 269]. Cholesterol regulates Aβ uptake and toxicity, but the evidence on whether cholesterol reduces or favors Aβ toxicity is controversial [11, 12]. Brain cholesterol is important in synapse development and maintenance [27, 270, 271]. Synaptic dysfunction is one of the earliest significant events in AD and synapse loss is the strongest anatomical correlate of the degree of clinical impairment [272, 273]. Significant decrease in dendritic spine density is present in the hippocampus of patients with AD and in transgenic mouse models of AD [274-278]. Alterations in cholesterol levels, even locally at synapses, may play a role in synapse dysfunction in AD [279].
3.4. Non-sterol isoprenoids pathway
The branch of the mevalonate pathway that leads to the production of non-sterol isoprenoids is depicted in Figure 5. The enzymes involved in these steps have been extensively reviewed [59]. The importance of this pathway is emphasized by the number of diseases that are associated with its dysfunction, including AD, Parkinson’s disease, cancer, and tuberculosis [129, 280-282].
Figure 5.
The non-sterol isoprenoid pathway.
FPP is the common substrate for synthesis of several end products and for the lipid modification of proteins. The enzymes responsible for synthesis of FPP and its non-sterol derivatives are prenyl-transferases that catalyze consecutive condensations of IPPs with primer substrates to form linear backbones for all isoprenoid compounds [130]. The enzyme GGPPS catalyzes the conversion of FPP into GGPP [283]. The main role of FPP and GGPP is in the posttranslational isoprenylation (i.e. farnesylation and geranylgeranylation) of proteins (Section 3.4.1.). Two different GGPPS activities have been described: a membrane-associated protein that produces GGPP for dolichol biosynthesis and a cytosolic protein that produces GGPP for protein prenylation [284]. In mouse brain cytosol, FPPS and GGPPS activities were higher than those in the corresponding fractions from the liver, perhaps reflecting a higher demand for protein prenylation in the brain [284]. FPPS and GGPPS activities were differentially distributed across various subregions of the brain. FPPS activity was present in all brain regions as expected by the several products that derive from FPP [285]. GGPPS activity was ~100 fold lower than FPPS activity, which agrees with the more limited use of GGPP, mostly for protein prenylation and as a precursor of a limited number of metabolites. GGPPS activity was lowest in the cerebellum [285].There have not been any reported cases of FPPS or GGPPS deficiency in humans [128]. FPPS is the target of nitrogen-containing bisphosphonate (N-BP) inhibitors, drugs used extensively to treat bone diseases [286]. A few bisphosphonate selective inhibitors for GGPPS have been reported but a clinically proven inhibitor of GGPPS has not yet been identified, limiting the validation of this enzyme as a therapeutic target [287].
Cis-prenyltransferases enzymes use FPP and GGPP for synthesis of dolichols [288, 289]. Dolichol phosphate is a lipid carrier embedded in the ER membrane, essential for the synthesis of N-glycans, GPI-anchors and protein C- and O-mannosylation [290, 291]. Dolichol is present, as a family with different chain lengths, in the hippocampus and spinal cord in a relatively low concentration compared to other areas of the brain [285]. Dolichol increases in brain and in peripheral organs during aging [292] and is associated with increased HMGCR activity [293]. The use of dolichol level as a marker for aging has been proposed [294].
Trans-prenyltransferases convert FPP to GGPP and further polyprenyl-PP in the synthesis of Coenzyme Q (CoQ), also known as ubiquinone. In humans, the main ubiquinone is ubiquinone 10, or CoQ10, with 10 isoprene units. Ubiquinone performs major functions as an electron carrier in the electron transfers of the respiratory chain, and as an antioxidant component in cell membranes and as a key component in the maintenance of the redox homeostasis of the cell [295-298]. The CNS has a very limited ability to incorporate ubiquinone from the diet and relies mainly on synthesis “in situ” [299].
FPP and GGPP can be converted to their correspondent alcohols farnesol (FOH) and geranylgeranyol (GGOH) by farnesyl and geranylgeranyl pyrophosphatases [300, 301]. Salvage pathways for the conversion of FOH and GGOH back to their pyrophosphate counterpart seem to exist in mammalian cells [302]. FOH and GGOH can also be formed by degradation of isoprenylated proteins in reactions catalyzed by prenylcysteine lyases, enzymes highly expressed in the brain [303]. FOH and GGOH may down-regulate HMGCR (Section 3.2.1 and Figure 3) (reviewed in [128]). The role of FOH and GGOH in protein prenylation is unclear. Some studies showed that mammalian cells utilize exogenously supplied FOH and GGOH for protein isoprenylation and, when mevalonate biosynthesis is blocked by statins, free FOH and GGOH can restore the pools of FPP and GGPP, although FOH may not be converted to GGPP [302, 304, 305]. The use of FOH and/or GGOH for protein prenylation might occur preferentially under conditions of reduced FPP and GGPP production from mevalonate [306]. Contrary to the existence of a salvage pathway that uses FOH and GGOH for protein prenylation, it was demonstrated that overexpressing phosphatases that convert FPP and GGPP to FOH and GGOH in mammalian cells, decreases rather than increases protein isoprenylation (as evaluated by a decreased of Rho protein level in cell membranes) and results in defects in cell growth and cytoskeletal organization that are associated with dysregulation of Rho family GTPases [301]. Moreover, work in cancer cells proposed that GGOH would reduce protein prenylation by down-regulating HMGCR leading to a shortage of FPP and GGPP [307]. Whether any of these mechanisms take place in the brain is uncertain. FOH is present at physiologically relevant concentrations in the brain of rodents and humans, where it may act in the regulation of brain Ca2+ homeostasis and neurotransmitter release by inhibiting N-type Ca2+ channels [308]. FOH has been shown to modulate the activity of the farnesoid X receptor (FXR), a member of the nuclear hormone receptor superfamily [309].
3.4.1. Non-sterol isoprenoids and protein prenylation
FPP and GGPP are substrates for protein farnesylation and geranylgeranylation (collectively called isoprenylation). In the human genome, there are approximately 300 hypothetical prenylated proteins [310]. Among them heterotrimeric G protein subunits, nuclear lamins and small GTPases have been confirmed to be prenylated [311]. Small GTPases represent the largest group of prenylated proteins. All small GTPases are able to specifically bind GDP and GTP, being inactive when bound to GDP (cytosolic location) and active when bound to GTP (membrane location). They also have an intrinsic GTPase activity to hydrolyze bound GTP to GDP and phosphate (Pi) [312]. FPP and GGPP are covalently attached via thioester linkage to C-terminal cysteine residues in the context of a prenylation motif. Farnesylation is catalyzed by farnesyl protein transferase (FTase), whereas GGTase-I and geranylgeranyl transferase type II (GGTase II) or RabGGTase catalyze the addition of GGPP to specific subsets of proteins [313-315] (Figure 5). FTase and GGTase I are responsible for posttranslational lipidation of proteins with C- terminal "CAAX" motifs, where C is cysteine, A is often an aliphatic amino acid, and X at the C-terminus determines the specificity of protein prenylation. When X is a methionine or serine, as in Ras proteins, then the protein is farnesylated by FTase. However, when X is a leucine residue, as in Rho proteins (e.g. Rac1, Cdc42, RhoA), or a phenylalanine residue, then the protein is geranylgeranylated by GGTase I [316, 317]. GGTase II catalyzes prenylation of Rab proteins, which contain at their C-termini either one or, more frequently, two cysteine residues, both of which are modified by geranylgeranyl groups [318, 319]. Protein prenyltransferase inhibitors, namely FTase inhibitors (FTIs) and GGTase inhibitors (GGTIs) have been developed and evaluated as anticancer agents.
The covalent attachment of the lipophilic isoprenyl group(s) enables prenylated proteins to anchor to cell membranes, which is an essential requirement for biological function [311]. The localization of small GTPases in distinct subcellular sites defines which signaling pathways they activate, thus defining their participation in disease. As an example, some singly prenylated Rabs are mistargeted and dysfunctional [320]. Inhibiting the membrane localization of small GTPases is a therapeutic strategy in cancer [321]. In addition, isoprenoid moieties are essential in the protein-protein interaction functions of prenylated proteins since they work as molecular handles that bind to hydrophobic grooves on the surface of soluble protein factors; these factors remove the prenylated protein from membranes in a regulated manner [322]. There is evidence that unprenylated versions of some proteins may also have physiological functional effects [323, 324] or may interfere with the activity of the isoprenylated proteins during disease [325, 326]. The requirement of prenylation for membrane association has also been recently challenged [327]. Prenylated proteins may undergo other posttranslational modifications such as palmitoylation, miristoylation and/or carboxymethylation [328].
The interest in understanding the regulation of isoprenoid production and protein prenylation in the brain has increased considerably in the past few years due to the importance of protein prenylation in several cellular processes such as cell growth, cytoskeletal organization and remodeling, and vesicle trafficking; and to the fact that some of the beneficial effects of statins in neurodegenerative diseases have been attributed to changes of protein prenylation [129, 329-334]. Non-sterol isoprenoids and protein prenyltransferases have emerged as attractive therapeutic targets for several diseases [321, 329] but we still need a deeper understanding of their roles in the brain in order to determine their value for treating neurodegeneration in general, and AD in particular.
Until recently, protein prenylation was considered to function constitutively. However, there is evidence that signaling cascades activated by druggable surface receptors affect prenylation of specific small GTPases by posttranslational modifications (e.g. phosphorylation) of unprenylated versions of the protein [326], or by regulating protein prenyltransferases directly [335]. Prenyltransferases are expressed in the brain, which contains the highest activity of GGTase I [336]. GGTase I plays important roles in synapse formation, where it is activated through acetylcholine receptor clustering at the postsynaptic membrane [335]. The effects of GGTase I at the synapse were suggested to be due to geranylgeranylation of Rho GTPases, although prenylation was not directly examined. Neuronal depolarization and BDNF activated GGTase I and this activity was required for dendritic arborization in hippocampal neurons and Purkinje cells [337-339].
There is a growing body of evidence indicating that inhibition of protein prenyltransferases and inhibition of the mevalonate pathway to an extent that reduces the levels of FPP and GGPP, alter many mechanisms critical for normal brain function. When analyzing studies in which statins are used it is important to consider that different statins differ in terms of their potency, stability and ability to cross the BBB [329, 331, 340]. Studies on the effect of statins or protein prenyl transferase inhibitors on neurite (dendrites or axons) extension and branching provided conflicting results depending on the type of neurons, the class of statin used and the duration of the treatments. Some studies showed that statins or inhibitors of protein prenyltransferases enhanced neurite outgrowth, number, length and/or branching [341-344] while we and others, discovered inhibition of neurite outgrowth, extension or branching [345-347]. Statins decreased neurite initiation but increased neurite branching in neuroblastoma cells [348]. The field of AD research will benefit from a deeper understanding of the roles of non-sterol isoprenoids and protein prenylation in axon regrowth.
Under certain experimental conditions statins affect survival of neurons and neuron-like cells, acting through the decrease of non-sterol isoprenoids and protein prenylation. Lovastatin but not pravastatin induced apoptosis of rat brain neuroblasts and caused a significant reduction of the membrane pool of Ras and RhoA proteins, suggesting an impairment of protein prenylation as the result of reduced isoprenoid production [349]. Similarly, we found no effect of pravastatin on survival of sympathetic and cortical neurons at concentrations that significantly reduced cholesterol synthesis [106, 347, 350]. Under these conditions, however, pravastatin did not affect protein prenylation [106]. Statins induced stellation, followed by apoptosis in cerebellar astrocytes and cell death of cerebellar neurons [351]. These latter effects were independent of reduced cholesterol synthesis but were prevented by GGPP. A very interesting discovery from the work of Marz and colleagues [351] was that neuronal cell death was significantly reduced in astrocyte/neuron co-cultures treated with statins. The authors speculated that astroglia cells might provide neuroprotective signals, perhaps GGPP, against the damaging effects that result from downregulation the mevalonate pathway. This idea of communication between glia and neurons through intermediates of the mevalonate pathway is further discussed in Section 4.
Non-sterol isoprenoids and protein prenylation may play a role in inflammatory events in the brain since statins were able to activate microglia in cultured rat hippocampal slices [352], and inhibitors of protein prenyltransferases and statins caused a reduction of apoE secretion by cultured microglia and organotypic hippocampal cultures [353]. Contradictory evidence was reported on the role of non-sterol isoprenoids and protein prenylation in long-term potentiation (LTP), an experimental model to study the synaptic basis of learning and memory [354]. While inhibitors of FTase and GGTase I had no effects on LTP in one study [355], FPP depletion and farnesylation inhibition were implicated in the enhancement of the LTP magnitude in hippocampal slices [356].
In the majority of the studies the conclusion that the effects of statins were due to the reduction of non-sterol isoprenoids and protein prenylation resulted from experiments in which FPP, GGPP or their correspondent alcohols, but not cholesterol were able to prevent the particular effect [343, 345, 346, 348, 352, 353, 357]. It will be important however, to confirm that protein prenylation is impaired upon statin treatment, especially when the duration of the treatment is short such as in the studies by Mans et al. [356]. Different prenylated proteins have half-lives that vary between 4hs and 24hs and will be differentially affected. The time required for depletion of the non-sterol isoprenoids pools may also be tissue-or cell-specific. Only a few studies examined the effect of statins on protein prenylation directly and found decreased prenylation of specific proteins under specific experimental conditions [341, 346].
The Rho family of GTPases has received a lot of attention as the mediators of the effects that result from reduction of non-sterol isoprenoids and/or inhibition of protein prenyl transferases [335, 337, 338, 341, 346, 352, 358]. This family represents a major branch of the Ras superfamily, and like Ras and Rabs, Rho proteins (e.g., RhoA, Rac1, Cdc42) function as GTP/GDP switches and alternate between an active GTP-bound state and an inactive GDP-bound state. Members of the Rho family are farnersylated and/or geranylgeranylated through the action of GGTase I [359]. Rho GTPases are pivotal in the integration of extracellular and intracellular signals. They are key regulators of the actin cytoskeleton which plays essential roles in orchestrating the development and remodeling of spines and synapses [360, 361]. Precise spatio-temporal regulation of Rho GTPase activity is critical for their function. Aberrant Rho GTPase signaling due to mutations or other causes can cause spine and synapse defects resulting in abnormal neuronal connectivity and deficient cognitive functioning in humans [360, 361]. Recent findings indicate that Rho GTPases are key components of neuronal cell degeneration pathways [362]. A number of studies examined the localization of Rho proteins to the membranes as an indication of their prenylation status. A caveat of this approach is that some prenylated Rho proteins interact with the guanidine dissociation inhibitor RhoGDI, which keep prenylated Rho proteins in the cytosol in an inactive state [363]. RhoGDI expression is affected during disease [363]. A decreased in RhoA or Rac association with membranes has been observed upon treatment with statins or protein prenyltransferase inhibitors [337, 338, 341, 346, 352]. A decrease in GTP-bound forms of Rho family proteins was also detected upon statin or protein prenyltransferase inhibitor treatments [338, 343] Moreover, RhoA was identified as a modulator of statins effects by using an unbiased genome-wide filter approach that examine more than 10,000 genes to identify gene expression changes that correlated with altered expression of HMGCR [364].
Non-sterol isoprenoids and protein prenylation not only determine the targeting of prenylated proteins to membranes, but also regulate the expression of a subset of prenylated proteins in a protein-specific manner [365, 366]. Depletion of mevalonate or treatment with protein prenyltransferase inhibitors resulted in up-regulation of Ras, Rac1, RhoB, Rab5 and Rab7 [365, 367-369]. The increase occurs at the levels of mRNA and protein in most cases, and both unprenylated and isoprenylated forms of the proteins accumulate [365]. Reduction of non-sterol isoprenoids decreases protein degradation, including that of already isoprenylated proteins, which suggests the existence of regulatory mechanisms to sustain levels of isoprenylated proteins under conditions that would otherwise limit protein isoprenylation [370]. FPP or GGPP prevented protein up-regulation [367, 370] by transcriptional and posttranscriptional mechanisms still unidentified but independent of protein prenylation [370]. In the case of Rab proteins it has been proposed that the membrane pool of Rabs, which decreases upon depletion of GGPP, may serve as an intracellular signal for Rab expression regulation [369].
3.4.2. Regulation of enzymes of non-sterol isoprenoids pathway
FPPS is transcriptionally regulated by SREBP-2 [66, 371] and LXR [372]. A LXR response element sequence exists in the FPPS promoter overlapping with the SREBP-2 response element [372]. LXR activation of FPPS occurs under high cholesterol levels, thus SREBP-2 processing is inhibited. In this way LXR could drive the expression of FPPS in order to maintain isoprenoid supply exclusively [372]. FPPS is post-translationally regulated by a product-feedback competitive inhibition as FPP (product) competes with GPP (substrate) for the active site [373, 374].
GGPPS does not seem to be transcriptionally regulated by SREBP-2 [66, 284, 375, 376]. GGPPS activity is inhibited by GGPP [373]. The crystal structure of human GGPPS demonstrated GGPP binding to a pocket/cavity away from the chain elongation site (active site) of GGPPS, suggesting a product-feedback allosteric inhibition [377, 378]. Mammalian GGPPS can catalyze the formation of FPP as well as GGPP [379].
3.4.3. Coordination of the post-squalene and non-sterol isoprenoids branches of the mevalonate pathway
Since cells have two alternative sources of cholesterol namely intracellular synthesis and uptake but only the intracellular synthesis provides non-sterol isoprenoids, the mevalonate pathway has to maintain the minimum requirement of isoprenoids at all times irrespective of cholesterol levels. Analysis of the affinity of the enzymes in the different branches of the pathway uncovers the mechanisms that mediate such regulation. The affinity of GGPPS for FPP (Km value of 0.6 μM) [284] is much higher than the affinity of squalene synthase for FPP (Km value of ~15 μM) [380]. Moreover, both coenzyme Q and dolichol synthesis are saturated at a much lower concentration of isoprene intermediates than the concentration required to saturate cholesterol synthesis [381, 382]. Thus, under limited concentrations of mevalonate and FPP, the non-sterol isoprenoid branch will be favored. Furthermore, inhibition of the mevalonate production by statins will reduce FPP supply for the production of cholesterol first. Because of the very high affinity of protein farnesyl transferase for FPP (Km below 0.1 μM) [383], farnesylation is preserved under many statin treatments [297, 384] and would be favored over geranylgeranylation.
3.4.4. Non-sterol isoprenoid pathway in AD
Up-regulation of 6 out of 10 genes of isoprenoid metabolism was found in autopsied hippocampus of patients with incipient AD [105], which may represent an attempt to compensate the posttranslational inhibition of the mevalonate pathway during disease.
Dolichol is decreased in all areas of the AD brain, especially those regions affected by the disease, and dolichol-P increases in brain regions that showed morphological changes [239, 385]. In the frontal cortex and in the hippocampus the concentration of dolichol decreased by as much as 45%. The increase in dolichol-P may reflect an increased rate of glycosylation in AD brain, which may be related to the formation of amyloid plaques. Changes in dolichol and dolichol-P in AD are opposite to those present during normal aging. The amount of dolichol in different regions of the human brain, but especially in the hippocampus, increases several folds with age in humans [239, 292, 386] and rats [387, 388]. An upper limit for dolichol accumulation in tissues seems to exist since after 70 years of age there is no further increase in dolichol concentration in human brains [239]. Dolichol is present in the brain as a family with 17-21 isoprene units. This pattern of dolichol lengths is unchanged during aging; however, there are regional differences [239, 386]. Levels of dolichyl-P are already high at the time of birth and only show a moderate increase, although it varies between different brain regions [292, 386].
With respect to ubiquinone, there is a significant elevation in most regions of AD brain [239], which may reflect a futile attempt to protect the brain from oxidative stress [385]. Interestingly, the pattern of ubiquinone is also reversed in AD when compared with normal aging. Brain ubiquinone is unchanged up to the age of 55 but decreases significantly in older age groups in areas where it concentrates in human brains, mainly the nucleus caudatus, gray matter, and hippocampus [239, 386]. This decrease may indicate a reduced anti-oxidative capacity in the aging brain. Thus, when considering dolichol, dolichol-P and ubiquinone, AD cannot be regarded as a result of premature aging.
3.4.5. FPP, GGPP and protein prenylation in AD
There is limited information with respect to levels and regulation of FPP and GGPP in normal and AD brains. Recent studies showed that GGPP, FPP, and the mRNA of their respective synthases, FPPS and GGPPS, were elevated in brains of 13 male patients with AD [169], in brains of aged mice [129, 287] and in neuroblastoma SH-SY5Y cells expressing APP695 [389]. The significance of this elevation is still unknown because protein prenylation was not examined in these studies, and elevation of isoprenoids does not warrant an increase in protein prenylation. Indeed, even when GGPP levels were elevated in the aging mouse brain, the pools of Rac1, RhoA and Cdc42, associated to membranes were decreased, while Rab proteins had a mixed behavior [287]. The reduction of the subunit β of GGTase I in the aging brain may be responsible for the decreased prenylation.
The roles of non-sterol isoprenoids and protein prenylation in AD have been identified mainly by using statins and inhibitors of protein prenyltransferases. FPP, GGPP and prenylated proteins are involved in diverse processes important in AD pathology including APP metabolism, LTP and synaptic plasticity, Aβ toxicity, and oxidative stress.
The effects of statin-induced non-sterol isoprenoids depletion or inhibition of protein prenyltransferases on APP/Aβ metabolism are complex. In some cases treatment with statins or a FTase inhibitor stimulated the shedding of APP and the production of sAPPα in neuroblastoma cells overexpressing APPswe [390], while in other cases statins reduced the release of Aβ from cells but increased the intracellular accumulation of APP and Aβ, in a process prevented by GGPP [391, 392]. The proteins affected by shortage of non-sterol isoprenoids, and responsible for the regulation APP/Aβ metabolism have been identified or proposed. The increase in APP shedding was mediated by RHO proteins [390]. Rho was also suggested to be responsible for the reduction of brain Aβ levels in the AD CRND8 mouse treated with statins, although there was no direct evidence that isoprenylation was affected [393]. The accumulation of APP and Aβ within neurons that received statins was due to decreased delivery of Rab proteins to cell membranes [392]. It is known that Rabs participate in intracellular APP trafficking and processing [394]. A study of mice treated with statins has shown significant reduction of brain levels of Aβ and the C-terminal fragments (CTFs) due to enhanced trafficking of APP-CTFs to the lysosomes for degradation [395]. The authors suggested that the process may involve a decrease in isoprenoids, and would be mediated by Rabs. However, Rab prenylation was not measured in this study and the conclusion of the involvement of isoprenoids resulted from experiments in cultured neurons in which mevalonate prevented the changes in trafficking. Unless the concentration of mevalonate is titrated to recover specifically the non-sterol isoprenoid pathway, mevalonate would also affect cholesterol levels. The regulation of APP cleavage and Aβ production by non-sterol isoprenoids and protein prenylation also involved APP secretases, although it is unclear if the decrease or the increase in isoprenoids and protein prenylation favors amyloidogenic processing of APP. Inhibition of farnesylation reduced the association of the β-secretase enzyme BACE1 with APP (although BACE itself is not farnesylated) and resulted in a dose-dependent decrease in Aβ release and production within the cell [396]. Moreover, statins caused inhibition of β-secretase dimerization into its more active form, which may be a mechanism of the reduction in Aβ production [397]. Statins also significantly decreased the association of the γ-secretase complex with lipid rafts and GGOH prevented this [398]. Contrary to this notion, in a separate study statins induced an increase of BACE levels in neurons, which was linked to the increase in Aβ production [391]. GGOH, GGPP and FPP increased Aβ production by targeting γ-secretase [399-401] but there is no consensus if this effect is dependent [401] or independent [400] of protein prenylation.
Aβ production is not significantly altered in sporadic forms of AD, which represent approximately 95% of cases [402-404]. Instead, defects in Aβ removal may be key in the development of sporadic AD [405, 406]. Statins and an FTase inhibitor promoted degradation of extracellular Aβ by microglia by stimulating the secretion of IDE (insulin degrading enzyme), an enzyme that degrades Aβ in the brain [407]. The secretion of IDE from peripheral organs into the circulation was also increased in mice treated with statins [407]. Moreover FTase but not GGTase I haplodeficiency in the APPPS1 mice increased steady-state levels of IDE [408]. The mechanisms by which farnesylation may regulate IDE secretion, are still unclear.
We have discovered that in neurons challenged with oligomeric Aβ42, and in the cortex of the AD mouse CRND8, prenylation of Rabs and Ras proteins were reduced [106]. Since the deficit in protein prenylation induced by Aβ was prevented by GGPP we concluded that protein prenylation inhibition was due to a shortage of GGPP. More importantly GGPP was able to prevent Aβ-induced neuronal death.
Non-sterol isoprenoids have been associated with the regulation of neuroinflammation in AD. The role of inflammation in the AD brain is well known. The pro-inflammatory response mediated mainly by microglial may exacerbate and drive the pathogenic processes leading to neuronal loss. Microglia activation may occur as a response to Aβ accumulation in the brain. Statins inhibited the production of IL-1β by monocytes after stimulation with Aβ, in a process that is independent of cholesterol but prevented by GGPP [409]. The effect was mimicked by a GGTase I inhibitor and by inactivation of Rho proteins. Statins also induced cholesterol-independent inhibition of ROS production after stimulation with Aβ [409]. Statin treatment of microglia resulted in perturbation of the cytoskeleton and morphological changes due to alteration in Rho family function [410].
During the course of AD, tau is hyper-phosphorylated, detaches from the microtubules, and aggregates in the somatodendritic compartment in NFTs [411, 412]. There is very limited information about the existence of any relationship between tau pathology and isoprenoids and/or protein prenylation. Statins caused changes in tau phosphorylation that were characteristic of those observed in preclinical stages of AD [413]. These changes were mimicked by GGTase I inhibitors and compensated by GGPP suggesting that decreased prenylation of a Rho family member may be involved. The dose of statins seems to be critical in the effects on tau. In a cellular model of tauopathy, and in primary neurons, low-to-moderate doses of statins, reduced total and phosphorylated tau levels but high doses activated caspase 3 and increased levels of caspase-cleaved tau, which may facilitate tau Aβ toxicity/apoptosis [414]. A decrease in membrane localization of several small GTPases occurred concomitantly with tau reduction and GGPP reversed statin-induced decreases in tau levels. The authors focused their attention on RhoA, speculating that the statin-induced decrease in phosphorylated tau was caused by glycogen synthase kinase 3β (GSK3β) inactivation through RhoA [414].
Some recent work in genetically modified mice supported the concept that non-sterol isoprenoids and protein prenylation may have a detrimental role in AD and suggested that inhibition of protein prenylation could be a potential strategy for effectively treating AD. The increase of isoprenoids and protein prenylation has been suggested (although not tested) to contribute to tau pathology in a transgenic APP/PS1 mouse that constitutively overexpresses (P)SREBP-2 [415]. In a different mouse model the expression of protein prenyltransferases was genetically modified in order to reduce protein prenylation independent of non-sterol isoprenoids. Heterozygous deletion of FTase reduced Aβ deposition and neuroinflammation and rescued spatial learning and memory function in APPPS1 mice. Heterozygous deletion of GGTase I reduced the levels of Aβ and neuroinflammation but had no impact on learning and memory [408]. These studies in vivo are exciting but will benefit from direct measurement of brain levels of isoprenoids or protein prenylation. Based on the complex regulation of isoprenoid production, it will be important to determine if brain isoprenoid levels change in these mice since the existence of negative-feedback regulatory mechanisms downstream SREBP-2, argue that increased levels of active SREBP-2 does not warrant an increase in non-sterol isoprenoids.
A few prenylated proteins have been linked to AD. The contributions of Rho GTPases to AD are of particular interest. Rho-family GTPases are key proteins that integrate extracellular and intracellular signals. They are important regulators of the actin cytoskeleton that play essential roles in orchestrating the development and remodeling of spines and synapses [360, 361]. Precise spatio-temporal regulation of Rho GTPase activity is critical for their function. Aberrant Rho GTPase signaling due to mutations or other causes can cause spine and synapse defects resulting in abnormal neuronal connectivity and deficient cognitive functioning in humans [360, 361]. Deregulation of RhoGTPases may contribute to dendritic spine loss during AD and might be a key pathogenic event contributing to synaptic deficits in AD (reviewed in [362, 416]). RhoA protein was lower in the AD brain hippocampus, reflecting the loss of the membrane bound, presumably active, GTPase [417]. Rab proteins regulate intracellular membrane trafficking, motility and fusion [418]. In the nervous system Rabs participate in important processes such as axonal endocytosis, retrograde transport of growth signals, synaptic function, and polarized neurite growth [419]. Rab5 and Rab7 protein levels were upregulated within basal forebrain, frontal cortex, and hippocampus but not in the less vulnerable cerebellum and striatum in MCI and AD [420, 421]. Importantly, this upregulation correlated with cognitive decline and neuropathological criteria for AD. The increase of Rab7 and Rab5 in AD brains has been interpreted as overactivation of the endosomal pathway. In addition increased levels of Rab7 have been found in cerebrospinal fluid (CSF) from AD patients and may represent a novel AD CSF biomarker [422]. Evidence from our laboratory demonstrated increased levels of Rab7 in Aβ-treated neurons and in the cortex of CRND8 mice [107]. Rab-6 was increased in AD brain, and correlated with ER stress [423]. The increased level of Rab6 in AD was unable to protect against ER stress, suggesting that Rab6 is non-functional. Based on our discoveries, we anticipate that Rab6 prenylation may be decreased. Since the number of proteins that are prenylated is high and considering that a reduction of non-sterol isoprenoids or the inhibition of protein prenyltransferases will affect several prenylated proteins, the challenge in the next years will be to identify which prenylated proteins are affected in AD.
4. Conclusions
The analysis of the mevalonate pathway in AD reveals dysregulation. The abnormalities not only affect cholesterol but also non-sterol isoprenoids. There is a reciprocal regulation between Aβ and cholesterol at the subcellular level [11]. The evidence discussed here suggest that similar reciprocity may exist between Aβ and non-sterol isoprenoids such that isoprenylation determines the levels of intracellular Aβ [391, 392] and Aβ inhibits the mevalonate pathway causing reduction of non-sterol isoprenoid levels and protein prenylation [106]. The dysregulation of the mevalonate pathway in AD may affect neurons and glia in different ways. Our findings suggest that inhibition of the mevalonate pathway will take place specifically in cells that accumulate Aβ, most likely neurons. Depending on the size of the cell population that contains intracellular Aβ, this might or might not impact the overall content of cholesterol and isoprenoids in the brain. The decreased synthesis of cholesterol in neurons may be compensated by synthesis in astrocytes [21]. In addition, an interesting model has been proposed in which SREBPs in astrocytes would be involved in synthesis of fatty acids and perhaps other lipids for neuronal supply [424]. According to this model, glia SREBPs may work as control points of neuronal function, providing neurons with appropriate lipids when neurons cannot make their own. The shuttle of non-sterol isoprenoids and 25-EC from astrocytes to neurons has been suggested [206, 351]. These possible homeostatic mechanisms should be taken in consideration when brain levels of lipids are analyzed. The increase of non-sterol isoprenoids in AD brains, if confirmed in a larger cohort, may represent an astrocytic attempt to compensate for the decrease in SREBP-dependent metabolic pathways in neurons. Compensatory attempt mechanisms in brain cholesterol homeostasis in AD have been described before. The amount of CYP46, the enzyme that converts cholesterol into 24-HC decreases in neuronal cells in AD brains, but this decrease is at least in part compensated for by an induction of the enzyme in glial cells [425]. In conclusion, our knowledge on the impairment of the mevalonate pathway in AD is still very limited. The extremely complex regulation of this pathway represents a challenge for the complete understanding of the defects present during AD. Defects at the cellular level are important but ultimately we need to comprehend how the interaction neuron-glia regulates the mevalonate pathway in the brain.
\n',keywords:null,chapterPDFUrl:"https://cdn.intechopen.com/pdfs/48175.pdf",chapterXML:"https://mts.intechopen.com/source/xml/48175.xml",downloadPdfUrl:"/chapter/pdf-download/48175",previewPdfUrl:"/chapter/pdf-preview/48175",totalDownloads:2791,totalViews:1031,totalCrossrefCites:6,totalDimensionsCites:9,totalAltmetricsMentions:1,impactScore:6,impactScorePercentile:95,impactScoreQuartile:4,hasAltmetrics:1,dateSubmitted:"June 2nd 2014",dateReviewed:"November 12th 2014",datePrePublished:null,datePublished:"July 1st 2015",dateFinished:"January 19th 2015",readingETA:"0",abstract:null,reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/48175",risUrl:"/chapter/ris/48175",book:{id:"4543",slug:"alzheimer-s-disease-challenges-for-the-future"},signatures:"Amany Mohamed, Kevan Smith and Elena Posse de Chaves",authors:[{id:"172091",title:"Dr.",name:"Elena",middleName:null,surname:"Posse De Chaves",fullName:"Elena Posse De Chaves",slug:"elena-posse-de-chaves",email:"elena.chaves@ualberta.ca",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"University of Alberta",institutionURL:null,country:{name:"Canada"}}}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Cholesterol homeostasis in the brain",level:"1"},{id:"sec_3",title:"3. The mevalonate pathway in the brain and in AD",level:"1"},{id:"sec_3_2",title:"3.1. Regulation of the mevalonate pathway by SREBP-2 and LXR",level:"2"},{id:"sec_3_3",title:"3.1.1. Transcriptional regulation of the mevalonate pathway by SREBP-2 in AD",level:"3"},{id:"sec_5_2",title:"3.2. Pre-squalene pathway",level:"2"},{id:"sec_5_3",title:"3.2.1. Regulation of enzymes of the pre-squalene pathway",level:"3"},{id:"sec_6_3",title:"3.2.2. Pre-squalene mevalonate pathway in AD",level:"3"},{id:"sec_8_2",title:"3.3. Post-squalene pathway",level:"2"},{id:"sec_8_3",title:"3.3.1. Shunt in the post-squalene pathway",level:"3"},{id:"sec_9_3",title:"3.3.2. Regulation of enzymes of post-squalene pathway",level:"3"},{id:"sec_10_3",title:"3.3.3. Post-squalene pathway in AD",level:"3"},{id:"sec_12_2",title:"3.4. Non-sterol isoprenoids pathway",level:"2"},{id:"sec_12_3",title:"3.4.1. Non-sterol isoprenoids and protein prenylation",level:"3"},{id:"sec_13_3",title:"3.4.2. Regulation of enzymes of non-sterol isoprenoids pathway",level:"3"},{id:"sec_14_3",title:"3.4.3. Coordination of the post-squalene and non-sterol isoprenoids branches of the mevalonate pathway",level:"3"},{id:"sec_15_3",title:"3.4.4. Non-sterol isoprenoid pathway in AD",level:"3"},{id:"sec_16_3",title:"3.4.5. FPP, GGPP and protein prenylation in AD",level:"3"},{id:"sec_19",title:"4. Conclusions",level:"1"},{id:"sec_20",title:"5. Abreviations",level:"1"}],chapterReferences:[{id:"B1",body:'O\'Brien, J.S. and E.L. Sampson, Lipid composition of the normal human brain: gray matter, white matter, and myelin. J Lipid Res, 1965. 6(4): p. 537-44.'},{id:"B2",body:'Dietschy, J.M. and S.D. Turley, Thematic review series: brain Lipids. Cholesterol metabolism in the central nervous system during early development and in the mature animal. 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Mol Neurodegener, 2014. 9: p. 6.'},{id:"B395",body:'Shinohara, M., et al., Reduction of brain beta-amyloid (Abeta) by fluvastatin, a hydroxymethylglutaryl-CoA reductase inhibitor, through increase in degradation of amyloid precursor protein C-terminal fragments (APP-CTFs) and Abeta clearance. J Biol Chem, 2010. 285(29): p. 22091-102.'},{id:"B396",body:'Parsons, R.B. and B.M. Austen, Protein lipidation of BACE. Biochem Soc Trans, 2005. 33(Pt 5): p. 1091-3.'},{id:"B397",body:'Parsons, R.B., et al., Statins inhibit the dimerization of beta-secretase via both isoprenoid- and cholesterol-mediated mechanisms. Biochem J, 2006. 399(2): p. 205-14.'},{id:"B398",body:'Urano, Y., et al., Association of active gamma-secretase complex with lipid rafts. J Lipid Res, 2005. 46(5): p. 904-12.'},{id:"B399",body:'Zhou, Y., et al., Geranylgeranyl pyrophosphate stimulates gamma-secretase to increase the generation of Abeta and APP-CTFgamma. FASEB J, 2008. 22(1): p. 47-54.'},{id:"B400",body:'Kukar, T., et al., Diverse compounds mimic Alzheimer disease-causing mutations by augmenting Abeta42 production. Nature medicine, 2005. 11(5): p. 545-50.'},{id:"B401",body:'Zhou, Y., et al., Nonsteroidal anti-inflammatory drugs can lower amyloidogenic Abeta42 by inhibiting Rho. Science, 2003. 302(5648): p. 1215-7.'},{id:"B402",body:'Selkoe, D.J. and D. Schenk, Alzheimer\'s disease: molecular understanding predicts amyloid-based therapeutics. Annu Rev Pharmacol Toxicol, 2003. 43: p. 545-84.'},{id:"B403",body:'Clippingdale, A.B., J.D. Wade, and C.J. Barrow, The amyloid-beta peptide and its role in Alzheimer\'s disease. J Pept Sci, 2001. 7(5): p. 227-49.'},{id:"B404",body:'Nathalie, P. and O. Jean-Noel, Processing of amyloid precursor protein and amyloid peptide neurotoxicity. Curr Alzheimer Res, 2008. 5(2): p. 92-9.'},{id:"B405",body:'Saido, T.C. and N. Iwata, Metabolism of amyloid beta peptide and pathogenesis of Alzheimer\'s disease. Towards presymptomatic diagnosis, prevention and therapy. Neuroscience research, 2006. 54(4): p. 235-53.'},{id:"B406",body:'Mawuenyega, K.G., et al., Decreased clearance of CNS beta-amyloid in Alzheimer\'s disease. Science, 2010. 330(6012): p. 1774.'},{id:"B407",body:'Tamboli, I.Y., et al., Statins promote the degradation of extracellular amyloid {beta}-peptide by microglia via stimulation of exosome-associated insulin-degrading enzyme (IDE) secretion. J Biol Chem, 2010. 285(48): p. 37405-14.'},{id:"B408",body:'Cheng, S., et al., Farnesyltransferase haplodeficiency reduces neuropathology and rescues cognitive function in a mouse model of Alzheimer disease. J Biol Chem, 2013. 288(50): p. 35952-60.'},{id:"B409",body:'Cordle, A. and G. Landreth, 3-Hydroxy-3-methylglutaryl-coenzyme A reductase inhibitors attenuate beta-amyloid-induced microglial inflammatory responses. 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Neurobiol Aging, 2011.'},{id:"B415",body:'Barbero-Camps, E., et al., APP/PS1 mice overexpressing SREBP-2 exhibit combined Abeta accumulation and tau pathology underlying Alzheimer\'s disease. Hum Mol Genet, 2013. 22(17): p. 3460-76.'},{id:"B416",body:'Bolognin, S., et al., The Potential Role of Rho GTPases in Alzheimer\'s Disease Pathogenesis. Mol Neurobiol, 2014.'},{id:"B417",body:'Huesa, G., et al., Altered distribution of RhoA in Alzheimer\'s disease and AbetaPP overexpressing mice. J Alzheimers Dis, 2010. 19(1): p. 37-56.'},{id:"B418",body:'Takai, Y., T. Sasaki, and T. Matozaki, Small GTP-binding proteins. Physiol Rev, 2001. 81(1): p. 153-208.'},{id:"B419",body:'Ng, E.L. and B.L. Tang, Rab GTPases and their roles in brain neurons and glia. Brain Res Rev, 2008. 58(1): p. 236-46.'},{id:"B420",body:"Ginsberg, S.D., et al., Regional selectivity of rab5 and rab7 protein upregulation in mild cognitive impairment and Alzheimer's disease. 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Department of Pharmacology, University of Alberta, Edmonton, AB, Canada
Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
Department of Pharmacology, University of Alberta, Edmonton, AB, Canada
Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
'},{corresp:"yes",contributorFullName:"Elena Posse de Chaves",address:"elena.chaves@ualberta.ca",affiliation:'
Department of Pharmacology, University of Alberta, Edmonton, AB, Canada
Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
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1. Introduction
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Bovine mastitis is one of the most important bacterial diseases of dairy cattle throughout the world. Mastitis is responsible for major economic losses to the dairy producer and milk processing industry resulting from reduced milk production, alterations in milk composition, discarded milk, increased replacement costs, extra labor, treatment costs, and veterinary services [1]. Annual economic losses due to bovine mastitis are estimated to be $2 billion in the United States [2], $400 million in Canada (Canadian Bovine Mastitis and Milk Quality Research Network-CBMQRN), and $130 million in Australia [3]. Many factors including host, pathogen, and environmental factors influence the development of mastitis; however, inflammation of the mammary gland is usually a consequence of adhesion, invasion, and colonization of the mammary gland by one or more contagious (Staphylococcus aureus, Streptocococcus agalactiae, Corynebacterium bovis, Mycoplasmsa bovis, etc.) or environmental (coliform bacteria, environmental Streptococcus spp. and some coagulase negative Staphylococcus spp., many other minor pathogens) mastitis pathogens.
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2. Etiology of mastitis
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Over 135 various microorganisms have been identified from bovine mastitis. The most common bovine mastitis pathogens are classified as contagious and environmental mastitis pathogens [4]. This classification depends upon their distribution in their natural habitat and mode of transmission from their natural habitat to the mammary glands of dairy cows [5]. It is important to mention that all pathogens lists as environmental or contagious may not be strictly environmental or strictly contagious; some of them may transmit both ways. Environmental mastitis pathogens exist in the cow’s environment, and they can cause infection at any time. Environmental mastitis pathogens are difficult to control because they are in the environment of dairy cows and can transmit to the mammary glands at any time, whereas contagious mastitis pathogens exist in the infected udder or on the teat skin and transmit from infected to non-infected udder during milking by milker’s hand or milking machine liners. Environmental mastitis pathogens include a wide range of organisms, including coliform bacteria (Escherichia coli, Klebsiella spp., Enterobacter spp., and Citrobacter spp), environmental Streptococcus spp. (Streptococcus uberis, Streptococcus dysgalactiae, Streptococcus equi, Streptococcus zooepidemicus, Streptococcus equinus, Streptococcus canis, Streptococcus parauberis, and others), Trueperella pyogenes, which was previously called Arcanobacterium pyogenes or Corynebacterium pyogenes and environmental coagulase-negative Staphylococcus species (CNS) (S. chromogenes, S. simulans, S. epidermidis, S. xylosus, S. haemolyticus, S. warneri, S. sciuri, S. lugdunensis, S. caprae, S. saccharolyticus, and others) [4, 6, 7, 8, 9] and others such as Pseudomonas, Proteus, Serratia, Aerococcus, Listeria, Yeast and Prototheca that are increasingly found as mastitis-causing pathogens on some farms [10, 11].
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Contagious mastitis pathogens primarily exist in the infected mammary glands or on the cow’s teat skin and transmit from infected to non-infected mammary glands during milking by milker’s hand or milking machine liners. Mycoplasma spp. may spread from cow to cow through aerosol transmission and invade the udder subsequent to bacteremia. The most frequent contagious mastitis pathogens are coagulase-positive Staphylococcus aureus, Streptococcus agalactiae, Mycoplasma bovis, and Corynebacterium bovis [11, 12]. The prevalence of mastitis caused by these different mastitis pathogens varies depending on herd management practices, geographical location, and other environmental conditions [13]. These different causative agents of mastitis have a multitude of virulence factors that make treatment and prevention of mastitis difficult.
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2.1 Environmental mastitis pathogens
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It is important to mention that all environmental mastitis pathogens may not be strictly environmental, and some of them may transmit both ways (contagious and environmental). However, the vast majority of these organisms are in the environment of dairy cows, and they transmit from these environmental sources to the udder of a cow at any time of the lactation cycle.
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2.1.1 Streptococcus uberis mastitis
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\nStreptococcus uberis is one of the environmental mastitis pathogens that accounts for a significant proportion of subclinical and clinical mastitis in lactating and non-lactating cows and heifers [14]. This organism is commonly found in the bedding material, which facilitates infection of mammary glands at any time [15]. Some report also indicated the possibility of contagious transmission of Streptococcus uberis [16].
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\nS. uberis has various mechanisms of virulence that increases the chances of this organism establishing infection. These include a capsule, which evades phagocytosis, adherence to, and invasion into mammary epithelial cells [17, 18]. S. uberis adheres to epithelial cells using different mechanisms, including the formation of pedestals [19] and bridge formation through Streptococcus uberis adhesion molecule (SUAM) and lactoferrin [20, 21, 22]. This attachment is specific and mediated through a bridge formation between Streptococcus uberis adhesion molecule (SUAM) [23, 24] on S. uberis surface and lactoferrin, which is in the mammary secretion and has a receptor on the mammary epithelial surface [20, 22]. This interaction creates a molecular bridge that enhances S. uberis adherence to and internalization into mammary epithelial cells most likely via caveolae-dependent endocytosis and potentially allows S. uberis to evade host defense mechanisms [22, 24]. These factors increase the pathogenicity of S. uberis to cause mastitis. The sua gene is conserved among strains of S. uberis isolated from geographically diverse areas [9, 13], and a sua deletion mutant of S. uberis is defective in adherence to and internalization into mammary epithelial cells [14].
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2.1.2 Coagulase-negative Staphylococcus species (CNS)
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More recently, coagulase-negative Staphylococcus species (CNS) such as S. chromogenes, S. simulans, S. xylosus, S. haemolyticus, S. hyicus, and S. epidermidis are increasingly isolated from bovine milk [7, 25, 26, 27] with S. chromogenes being the most increasingly diagnosed species as a cause of subclinical mastitis. Staphylococcus chromogenes [28] and other CNS [4, 8] have been shown to cause subclinical infections in dairy cows that reduce the prevalence of contagious mastitis pathogens.
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\nStaphylococcus chromogenes is most commonly isolated from mammary secretions rather than from the environment itself [8, 29]. S. chromogenes consistently isolated from the cow’s udder and teat skin [30], and some studies showed that it causes long-lasting, persistent subclinical infections [26]. The CNS causes high somatic cell counts in milk on some dairy farms [29, 31]. Woodward et al. [32] evaluated the normal teat skin flora and found that 25% of the isolates exhibited the ability to prevent the growth of some mastitis pathogens. An in vitro study conducted on S. chromogenes showed that this organism could inhibit the growth of major mastitis-causing pathogens such as Staph. aureus, Strep. dysgalactiae, and Strep. uberis [28]. In a study conducted on conventional and organic Canadian dairy farms, CNS were found in 20% of the clinical samples [33]. Recently, mastitis caused by CNS increasingly became more problematic in dairy herds [30, 34, 35, 36]. However, mastitis caused by CNS is less severe compared to mastitis caused by Staphylococcus aureus [26].
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2.1.3 Coliform mastitis
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Coliform bacteria such as Escherichia, Klebsiella, and Enterobacter are a common cause of mastitis in dairy cows [37]. The most common species, isolated in more than 80% of cases of coliform mastitis, is Escherichia coli [38, 39]. E. coli usually infects the mammary glands during the dry period and progresses to inflammation and clinical mastitis during the early lactation with local and sometimes severe systemic clinical manifestations. Some reports indicated that the severity of E. coli mastitis is mainly determined by cow factors rather than by virulence factors of E. coli [40]. However, recent molecular and genetic studies showed that the pathogenicity of E. coli is entirely dependent on the FecA protein that enables E. coli to actively uptake iron from ferric-citrate in the mammary gland [41]. The severity of the clinical mastitis and peak E. coli counts in mammary secretions are positively correlated. Intramammary infection with E. coli induced expression and release of pro-inflammatory cytokines [42, 43]. Recently, it has been shown with mouse mastitis models that IL-17A and Th17 cells are instrumental in the defense against E. coli intramammary infection [44, 45]. However, the role of IL-17 in bovine E. coli mastitis is not well defined. The result of recent vaccine efficacy study against E. coli mastitis suggested that cell-mediated immune response has more protective effect than humoral response [46]. However, the cytokine signaling pathways that lead to efficient bacterial clearance are not clearly defined.
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2.2 Contagious mastitis pathogens
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2.2.1 Coagulase-positive Staphylococcus aureus\n
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Coagulase-positive Staphylococcus aureus is one of the most common contagious mastitis pathogens in dairy cows, with an estimated incidence rate of 43–74% [47, 48]. Staphylococcus aureus is grouped under the family Staphylococcaceae and genus Staphylococcus. It is a gram-positive, catalase and coagulase-positive, non-spore forming, oxidase negative, non-motile, cluster-forming, and facultative anaerobe [49]. The coagulase test is not an absolute test for the confirmation of the diagnosis of S. aureus from the cases of bovine mastitis, but more than 95% of all coagulase-positive staphylococci from bovine mastitis belong to S. aureus [50]. Other coagulase-positive species include S. aureus subsp. anaerobius causes lesion in sheep; S. pseudintermedius causes pyoderma, pustular dermatitis, pyometra, otitis externa, and other infections in dogs and cats; S. schleiferi subsp. coagulans causes otitis externa (inflammation of the external ear canal) in dogs; S. hyicus is coagulase variable (some strains are positive and some others are negative), species that causes mastitis in dairy cows, exudative epidermitis (greasy pig disease) in pigs; and S. delphini causes purulent cutaneous lesions in dolphins.
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\nS. aureus can infect many host species, including humans. In humans, S. aureus causes a wide variety of illnesses ranging from mild skin infection to a life-threatening systemic infection. It has been reported that certain strains of S. aureus with specific tissue tropism can be adapted to infect specific tissue such as the mammary gland [51]. Furthermore, a study by McMillan [52] showed distinct lineages of S. aureus in bovine, ovine, and caprine species. S. aureus strains can be host specific, meaning that they are found more commonly in a specific species [51]. Some studies showed that S. aureus that causes mastitis belong to certain dominant clones, which are frequently responsible for clinical and subclinical mastitis in a herd at certain geographic areas, indicating that the control measures may need to be directed against specific clones in a given area [53, 54, 55]. However, because S. aureus is such a big problem in human health, cross-infection has been an important research topic. Several studies have reported cases of cross-infection in several different species [56, 57, 58]. In the dairy industry, there have been reports of human origin methicillin-resistant S. aureus infecting bovine mammary glands [59, 60]. These studies add to the unease that strains can gain new mutations or virulence factors and adapt to cross the interspecies boundary relatively rapidly [61].
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Although the incidence of S. aureus mastitis can be reduced with hygienic milking practices and a good management system, it is still a major problem for dairy farms, with a prevalence of 66% among farms tested in the United States [62]. The prevalence of S. aureus mastitis varies from farm to farm because of variation in hygienic milking practices and overall farm management differences on the application of control measures for contagious mastitis pathogens. Good hygiene in the milking parlor can significantly reduce the occurrence of new S. aureus mastitis in the herd, but it does not remove existing cases within a herd [63]. Neave et al. concluded that it is nearly impractical to keep all udder quarters of dairy cows free of all pathogens at all times. Since this early observation by Neave et al. [63], many studies have confirmed that management practices can reduce new cases of intramammary infection (IMI) [9, 64] but cannot eliminate existing infections. In the United States, the prevalence of clinical and subclinical S. aureus mastitis ranged from 10 to 45% [65] and 15 to 75%, respectively.
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2.2.1.1 Virulence factors of S. aureus\n
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\nStaphylococcus aureus has many virulence factors that can be grouped broadly into two major classes. These include (1) secretory factors which are surface localized structural components that serve as virulence factors and (2) secretory virulence factors which are produced by bacteria cells and secreted out of cells and act on different targets in the host body. Both non-secretory and secretory virulence factors together help this pathogen to evade the host’s defenses and colonize mammary glands.
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2.3 Non-secretory factors
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Some of surface localized structural components that serve as virulence factors include membrane-bound proteins, which include collagen-binding protein, fibrinogen-binding protein, elastin-binding protein, penicillin-binding protein, and lipoteichoic acid. Similarly, cell wall-bound factors such as peptidoglycan, lipoteichoic acid, teichoic acid, protein A, β-Lactamase, and proteases serve as non-secretory virulence factors. Other cell surface-associated virulence factors include exopolysaccharides, which comprises capsule, slime, and biofilm. Overall, S. aureus has over 24 surface proteins and 13 secreted proteins that are involved in immune evasion [66] and about 15–26 proteins for biofilm formation [67, 68].
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Surface proteins, such as staphylococcal protein A (SpA), clumping factors A and B (ClfA and ClfB) [69, 70, 71], fibrinogen-binding proteins [72], iron-regulated surface determinants (IsdA, IsdB, and IsdH) [69, 73], fibronectin-binding proteins A and B [74], biofilm associated protein (BAP) and exopolysaccharides (capsule, slime, and biofilms) [75, 76, 77, 78, 79], play roles in S. aureus adhesion to and invasion into host cells [80]. The BAP expression enhances biofilm production and the BAP gene is only found in S. aureus strain from bovine origin [81, 82, 83]. Evaluation of BAP gene of S. aureus from bovine and human isolates using polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) showed that bovine and human isolates are not closely related [84]. Thus, some host-specific evolutionary factors may have been developed between both strain types.
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Biofilms are considered an important virulence factor in the pathogenesis of bovine S. aureus mastitis [77, 78]. Slime, an extracellular polysaccharide layer, acts as a barrier against phagocytosis and antimicrobials. It also helps with adhesion to a surface [85]. If a biofilm forms in a mammary gland, it will protect those bacteria from antimicrobials and the host’s immune system [77, 78]. In addition, once the biofilm matures and the immune attack has subsided, the biofilm can break open and allow reinfection of the mammary gland [86]. There are many contributors to biofilm production, such as polysaccharide intercellular adhesin (PIA) also known as poly-N-acetyl-β (1-6)-glucosamine (PNAG), MSCRAMMS, teichoic acids, and extracellular DNA (eDNA) [75, 76] that are known to help these bacteria cells to hold onto a surface [87]. Various proteins encoded by intercellular adhesion loci such as icaA, icaB, icaC, and icaD are involved in PIA production which in turn result in biofilm formation [75, 76]. Vasudevan et al. [88] evaluated the correlation of slime production and presence of the intercellular adhesion (ica) genes with biofilm production. These authors [88] found that all tested isolates were positive for icaA and icaD genes, and most tested isolates produce slime, but not all slime positives produced biofilms in vitro. Similarly, a study in Poland found that all isolates were positive for icaA and icaD [80] genes. While adhesion is promoted with biofilm production, the bap gene prevents the invasion of host cells [83]. Despite the presence of the ica gene strongly support biofilm production, the presence of the ica gene is not mandatory for biofilm production since S. aureus lacking ica gene can still produce biofilm through other microbial surface components recognizing adhesive matrix molecules (MSCRAM) and secreted proteins [89, 90].
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2.4 Secretory factors
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Some of the known secretory virulence factors are toxins which include staphylococcal enterotoxins, non-enteric exfoliative toxins, toxic shock syndrome toxin 1, leucocidin, and hemolysins (alpha, beta, delta, and gamma) [91, 92]. Similarly, enzymes such as coagulase, staphylokinase, DNAase, phosphatase, lipase, phospholipase, and hyaluronidase serve as virulence factors of S. aureus [93].
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2.4.1 Hemolysins
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\nS. aureus isolates from bovine mastitis produce alpha (α), beta (β), gamma (γ), and delta (δ) hemolysins that cause hemolysis of red blood cells of the host [94] and all are antigenically distinct. α-hemolysin is a pore-forming toxin that binds to a disintegrin and metalloproteinase domain-containing protein-10 (ADAM10) receptor resulting in pore formation and cellular necrosis [95, 96]. It is also known to increase the inflammatory response and decrease macrophage function [97]. α-hemolysin damages the plasma membrane of the epithelial cell resulting in leakages of low-molecular-weight molecules from the cytosol and death of the cell [98]. It is produced by 20–50% of strains from bovine IMI [99]. A study reported that the α-hemolysin might be required for a cell to cell interaction during biofilm formation [100]. β-hemolysin hydrolyzes the sphingomyelin present in the plasma membrane resulting in increased permeability with progressive loss of cell surface charge [101]. It is produced by 75–100% of S. aureus strains from bovine IMI [99]. α-hemolysin expression requires specific growth conditions in vitro because its growth is inhibited by agar [102]. α-hemolysin producing strains cause complete hemolysis of sheep red blood cells, whereas β-hemolysin producing strains cause partial hemolysis within 24 h of incubation at 37°C [103]. Partial hemolysis caused by β-hemolysin becomes completely lysed after further storage at 4–15°C, which is also expressed as hot-cold lysis [104]. β-hemolysin producing strains are the most frequent isolates from animals [105]. δ-hemolysin causes complete hemolysis of red blood cells of wide range of species including human, rabbit, sheep, horse, rat, guinea pig, and some fish erythrocytes. δ-hemolysin migrates more slowly through agar than the α-hemolysin so the effect takes longer time to express. Double (α- and β-) hemolysin producing strains caused complete hemolysis in the middle with partial hemolysis on the peripheral area around each colony [105]. γ-hemolysin is produced by almost every strain of S. aureus, but γ-hemolysin is not identifiable on blood agar plates, due to the inhibitory effect of agar on toxin activity [106].
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2.4.2 Enterotoxins Enterotoxins
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These toxins are heat stable and can resist pasteurization. S. aureus produces staphylococcal enterotoxins A, B, C, D, E, G, H, I, and J–Q as well as toxic shock syndrome toxin 1 (tsst-1) [105, 107, 108]. Enterotoxins can get into the food chain through the consumption of contaminated food and cause food poisoning [109]. Staphylococcal enterotoxins tend to contaminate dairy products and cause foodborne illness [110, 111]. Staphylococcal enterotoxins G to Q (SEG–SEQ) are prevalent among S. aureus isolates from cases of bovine mastitis and are also implicated in the pathogenesis of mastitis. Some of these toxins are known to function as superantigens that cause increased immunological reactivity in the host [110]. Some studies showed that about 20% of S. aureus isolates from IMI produce toxic shock syndrome toxin-1 [109, 112]. Toxic shock syndrome toxin causes toxic shock syndrome and can be fatal [113]. Besides the superantigenic effect of enterotoxins, their role in the pathogenesis of mastitis is unknown. It may be specific to each strain or area based on selective pressures in the habitat [114]. Enterotoxin prevalence seems to vary between geographical regions. The strains producing enterotoxin C have been isolated relatively frequently from cases of bovine mastitis [108, 115, 116].
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Enterotoxins are believed to have a role in the development of mastitis since S. aureus isolates from cases of mastitis had a high prevalence of enterotoxins than isolates from milk of cows without mastitis [117, 118]; however, staphylococcal enterotoxins expressions are controlled by several regulatory elements [119] that respond to a variety of different micro-environmental stimuli and the exact mechanisms by which enterotoxins contribute to the development of mastitis are not clearly known and yet to be determined.
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In addition to specific virulence factors, Staphylococcus aureus also possesses different mechanisms or traits such as biofilm formation, adhesion to and invasion into mammary epithelial cells, and formation of small colony variant (SCV) that enable this pathogen to resist host defense mechanisms. The ability of S. aureus to invade mammary epithelial cells during mastitis plays a significant role in the pathogenesis of S. aureus. Internalized bacteria can hide from the host’s immune system inside the host cell and continue to multiply inside the host cell [120]. There may be many mechanisms that S. aureus uses to invade into host cells, and each mechanism can be strain dependent. S. aureus strains have a fibronectin-binding protein that can link to the fibronectin on the mammary epithelial cell surface. Fibronectin binding protein is thought to be a common way for the bacteria cells to invade bovine mammary epithelial cells. Fibronectin-binding protein-deficient strains cannot invade host cells [121]. The presence of a capsule prevents adherence to epithelial cells [122, 123].
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Adhesion is the first step in the formation of biofilm or the invasion of host cells, which protects the bacteria from the host immune system and facilitates chronic infection [124]. Adhesion is dependent on surface proteins called adhesins, which help the bacterium to recognize and attach to host cells. Staphylococci are coated with a wide variety of surface proteins that help them to adhere to host cells and extracellular matrix components. Microbial surface components recognizing adhesive matrix molecules (MSCRAMMs) of the host are the most common surface proteins that are involved in adhesion [124]. The ability to bind to host tissue or the host’s cell surface is a pivotal part of the bacteria’s pathogenicity because adhesion is typically the first step in the invasion and biofilm formation [125, 126].
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Adhesion to and invasion into epithelial cells [124], intracellular survival in macrophages [127], and epithelial cells allow them to avoid detection by the host immune system and resist treatment with antibiotics [120]. Due to its poor response to treatments, S. aureus infections often become chronic with a low cure rate [128]. Treatment of Staphylococcus aureus mastitis with cloxacillin cured only 25% of the clinical cases and 40% of subclinical cases in the study by Tyler and Baggot [129]. Staphylococcus aureus also has a known ability to form biofilms [77, 78, 86] and acquire antimicrobial-resistance genes via horizontal resistance gene transfer, which enables this bacterium to develop antimicrobial resistance [130, 131].
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The mode of transmission from infected mammary glands or colonized udder skin to healthy mammary glands is through contact during milking procedures with milker’s hand, towel, and milking machine [58]. S. aureus usually causes subclinical or chronic infections and is difficult to clear with antibiotic treatment [132].
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2.4.3 Streptococcus agalactiae\n
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The most important virulence factor of S. agalactiae is the capsular polysaccharide [133], which protects this bacterium from being engulfed by macrophages and subsequently phagocytosed [133]. Another virulence factor of S. agalactiae is the Rib protein, which confers resistance to proteases. Emaneini et al. [133] found that the Rib encoding gene (rib) was detected in 89% of the isolates from bovine origin. Streptococcus agalactiae causes persistent infections that are usually difficult to clear without antibiotic treatment [134]. Though Streptococcus agalactiae is highly contagious, it has good response to treatment with antibiotics, which makes it possible to eliminate from herds with current mastitis control measures [129]. Since the adoption of hygienic milking practices, the incidence of mastitis caused by S. agalactiae has dramatically decreased and is now rarely observed in dairy herds [135].
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2.4.4 Mycoplasma mastitis
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Mastitis caused by Mycoplasma spp. is a growing concern in the United States. It is believed that this organism has been underreported due to the difficulty of isolation by culture method [136]. The incidence of Mycoplasma mastitis varies across the globe, with a 3.2% prevalence rate in the United States that may increase to 14.4% in larger herd size of greater than 500 cows [47, 48, 62, 137]. A risk factor for Mycoplasma mastitis increase with herd size, and most of the Mycoplasma mastitis cases are subclinical infections with outbreaks linked to asymptomatic carriers [138]. Pathogenesis of most Mycoplasma spp. infection is characterized by adherence to and internalization into host cells resulting in colonization of the host with immune modulation without causing severe disease [138]. Mycoplasma species lack a cell wall, thus not sensitive to beta-lactam antibiotics, but showed sensitivity to non-beta-lactam antibiotics [139].
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3. Routes of entry of mastitis pathogens to the udder
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In general, it is believed that mastitis pathogens gain entrance to the udder through teat opening into the teat canal and from the teat canal into the intramammary area during the reverse flow of milk due to vacuum pressure fluctuation of the milking machine [9]. However, the detailed mechanism of mastitis pathogen colonization of the mammary gland may vary among species of bacteria and the virulence factors associated with particular strain in each species. An example of this is in some cases; it has been shown that E. coli can penetrate the teat canal without the reverse flow of milk [9]. Some of the major mastitis pathogens, such as E. coli [140], Staphylococcus aureus, and Streptococcus uberis [20, 21, 22] can adhere to and subsequently invade into the mammary epithelial cells. This adherence and subsequent invasion into mammary epithelial cells allow them to persist in the intracellular area as well as to escape the host immune defenses attack and action of antimicrobial drugs [120, 140, 141, 142, 143, 144]. Dogan et al. [145] compared E. coli strains known to cause chronic infections with strains known to cause acute infections and found that chronic strains were more invasive to the epithelial cells, leading to the difficulty in clearance and persistent infection compared to acute strains. S. aureus enters the mammary gland through the teat opening and subsequently multiply in the mammary gland where they may form biofilms, attach to, and internalize into the mammary epithelial cells causing inflammation of mammary glands characterized by swelling, degeneration of epithelial cells, and epithelial erosions and ulcers [146, 147].
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4. Clinical manifestation of mastitis
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Depending on clinical signs, mastitis can also be divided into clinical and subclinical mastitis. Clinical mastitis is characterized by visible inflammatory changes (abnormalities) in the mammary gland tissue such as redness, swelling, pain, increased heart, and abnormal changes in milk color (watery, bloody, and blood tinged) and consistency (clots or flakes) [9]. Clinical mastitis can be acute, peracute, subacute, or chronic. Acute mastitis is a very rapid inflammatory response characterized by systemic clinical signs which include fever, anorexia, shock, as well as local inflammatory changes in the mammary gland and milk. Peracute mastitis is manifested by a rapid onset of severe inflammation, pain, and systemic symptoms that resulted in a severely sick cow within a short period of time. Subacute mastitis is the most frequently seen form of clinical mastitis characterized by few local signs of mild inflammation in the udder and visible changes in milk such as small clots. Chronic mastitis is a long-term recurring, persistent case of mastitis that may show few symptoms of mastitis between repeated occasional flare-ups of the disease where signs are visible and can continue over periods of several months. Chronic mastitis often leads to irreversible damage to the udder from the repeated occurrences of the inflammation, and often these cows are culled.
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Subclinical mastitis is the inflammation of the mammary gland that does not create visible changes in the milk or the udder. Subclinical mastitis is an infection of mammary gland characterized by non-visible inflammatory changes such as a high somatic cell count coupled with shedding of causative bacteria through milk [9]. During this inflammatory process, the milk samples showed a rapid increase of somatic cells, characterized by increased number of neutrophils in the secretion [146, 148]. Despite increased recruitment of somatic cells into infected mammary glands, evidenced by an increased number of neutrophils, infection usually does not clear but became subclinical. Intramammary infections during early lactation may become acute clinical mastitis characterized by gangrene development due congestion and thrombosis (blockage) of blood supply to the tissue but most new infection during late lactation or dry period become acute or chronic mastitis [149, 150].
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The increase in somatic cell count during subclinical infections leads to a decrease in useful components in the milk, such as lactose and casein [151]. Lactose is the sugar found in milk, and casein is one of the major proteins in milk and decreases in these two components affect the quality and quantity of milk yield [9]. During mastitis, there is an increase in lipase and plasmin, which have a detrimental effect on the quantity and quality of milk due to the breakdown of milk fat and casein [9]. Subclinical infections can reduce milk production by 10–12% when just one-quarter is infected [152]. These subclinical infections cause some of the greatest unseen economic [20] losses because of their detrimental impact on production and milk quality without showing visible signs of infection [152].
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5. Risk factors for mastitis
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There are host-, pathogen-, and environmental-related risk factors that predispose dairy cows to mastitis. The host risk factors include age (parity), stage of lactation, somatic cell count, breed, the anatomy of the mammary glands/morphology of udder and teat (diameter of teat canal and conformation of the udder), and immune competence (immunity) [153] (Figure 1). The environmental risk factors include the proper functioning status of milking machine, udder trauma, sanitation, climate, nutrition, management, season, and housing condition [154] (Figure 1). The pathogen risk factors include type (bacteria, fungi, yeast, and algae), number (large number and small number), virulence (highly, moderate, or less virulent), frequency of exposure (dirty farm floor, dirty milking machine, and dirty teat drying towels frequently expose to pathogen; clean floor, clean milking machine, and clean teat drying towels less exposure to pathogens), ability to resist flushing out of the glands by milk (ability to adhere or attach to and invade or internalize into mammary epithelial cells), zoonotic (transmit from cow to human or vice versa) potential, and resistance to antimicrobials [4] (Figure 1). The warm, humid, and moist climate favors the growth of bacteria and increases the chances of intramammary infection (IMI) and mastitis development [154]. The incidence of mastitis varies from farm to farm due to the combined effects of these different factors that increase the risk of disease development.
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Figure 1.
Risk factors for mastitis. SA, Staphylococcus aureus; EC, Escherichia coli; SU, Streptococcus uberis; SCC, somatic cell count; AMR, antimicrobial resistance.
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Dairy cows are highly susceptible to IMI during the early dry period due to increased colonization of teat skin with bacteria. Bacterial colonization of teat increases during the early dry period because of an absence of hygienic milking practices including pre-milking washing and drying of teats [155], as well as pre- and post-milking teat dipping in antiseptic solutions [156, 157] that are known to reduce teat end colonization and infection. An udder infected during the early dry period usually manifests clinical mastitis during the transition period because of increased production of parturition inducing immunosuppressive hormones [158, 159], negative energy balance [160], and physical stress during calving [161].
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6. Role of mastitis on public health
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Mastitis is increasingly becoming a public health concern due to the ability of the causative bacterial pathogens and/or their products, such as enterotoxins, to enter the food supply and cause foodborne diseases [109, 162], especially through the consumption of raw milk [29] and undercooked meat of culled dairy cows due to chronic mastitis that are usually sold to the slaughter (abattoir) for meat consumption. The Center for Disease Control (CDC) estimated that roughly 48 million people in the United States a year become sick from foodborne diseases [163]. Foodborne pathogens have been detected in bulk tank milk in multiple studies [164, 165, 166, 167]. These authors found that the number of foodborne pathogens detected in bulk tank milk vary with location, management practices, hygiene, and number of animals on the farm [165]. Similarly, a study on bulk tank milk from east Tennessee and southwest Virginia by Rohrbach et al. [168] showed that 32.5% of the samples analyzed contained one or more foodborne pathogens. Even dairy producers who used proper hygienic milking practices, pre- and post-milking teat disinfectant and antibiotic dry cow therapy, had foodborne pathogens in their bulk tank milk [164]. The isolation of these foodborne pathogens from bulk tank milk samples across the United States demonstrate the threat that mastitis pathogens and zoonotic mastitis causing pathogens create on public health if raw milk is consumed or if these pathogens make it through processing.
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7. Conclusions
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Bovine mastitis is the most important multifactorial disease of dairy cattle throughout the world. Mastitis is responsible for huge economic losses to the dairy producers and milk processing industry due to reduced milk production, alterations in milk composition, discarded milk, increased replacement costs, extra labor, treatment costs, and veterinary services. Many factors including pathogen, host, and environment can influence the development of mastitis. Mastitis, the inflammation of the mammary gland is usually a consequence of adhesion, invasion, and colonization of the mammary gland by one or more mastitis pathogens such as Staphylococcus aureus, Streptococcus uberis, and Escherichia coli.
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\n\n',keywords:"mastitis, bovine, Staphylococcus, Streptococcus",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/73116.pdf",chapterXML:"https://mts.intechopen.com/source/xml/73116.xml",downloadPdfUrl:"/chapter/pdf-download/73116",previewPdfUrl:"/chapter/pdf-preview/73116",totalDownloads:804,totalViews:0,totalCrossrefCites:2,dateSubmitted:"October 15th 2019",dateReviewed:"July 27th 2020",datePrePublished:"September 2nd 2020",datePublished:"January 20th 2021",dateFinished:"September 2nd 2020",readingETA:"0",abstract:"Bovine mastitis is one of the most important bacterial diseases of dairy cattle throughout the world. Mastitis is responsible for great economic losses to the dairy producer and to the milk processing industry resulting from reduced milk production, alterations in milk composition, discarded milk, increased replacement costs, extra labor, treatment costs, and veterinary services. Economic losses due to bovine mastitis are estimated to be $2 billion in the United States, $400 million in Canada (Canadian Bovine Mastitis and Milk Quality Research Network-CBMQRN) and $130 million in Australia per year. Many factors can influence the development of mastitis; however, inflammation of the mammary gland is usually a consequence of adhesion, invasion, and colonization of the mammary gland by one or more mastitis pathogens such as Staphylococcus aureus, Streptococcus uberis, and Escherichia coli.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/73116",risUrl:"/chapter/ris/73116",signatures:"Oudessa Kerro Dego",book:{id:"8545",type:"book",title:"Animal Reproduction in Veterinary Medicine",subtitle:null,fullTitle:"Animal Reproduction in Veterinary Medicine",slug:"animal-reproduction-in-veterinary-medicine",publishedDate:"January 20th 2021",bookSignature:"Faruk Aral, Rita Payan-Carreira and Miguel Quaresma",coverURL:"https://cdn.intechopen.com/books/images_new/8545.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",isbn:"978-1-83881-937-8",printIsbn:"978-1-83881-936-1",pdfIsbn:"978-1-83881-938-5",isAvailableForWebshopOrdering:!0,editors:[{id:"25600",title:"Prof.",name:"Faruk",middleName:null,surname:"Aral",slug:"faruk-aral",fullName:"Faruk Aral"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:[{id:"283019",title:"Dr.",name:"Oudessa",middleName:null,surname:"Kerro Dego",fullName:"Oudessa Kerro Dego",slug:"oudessa-kerro-dego",email:"okerrode@utk.edu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/283019/images/system/283019.png",institution:{name:"University of Tennessee at Knoxville",institutionURL:null,country:{name:"United States of America"}}}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Etiology of mastitis",level:"1"},{id:"sec_2_2",title:"2.1 Environmental mastitis pathogens",level:"2"},{id:"sec_2_3",title:"2.1.1 Streptococcus uberis mastitis",level:"3"},{id:"sec_3_3",title:"2.1.2 Coagulase-negative Staphylococcus species (CNS)",level:"3"},{id:"sec_4_3",title:"2.1.3 Coliform mastitis",level:"3"},{id:"sec_6_2",title:"2.2 Contagious mastitis pathogens",level:"2"},{id:"sec_6_3",title:"2.2.1 Coagulase-positive Staphylococcus aureus\n",level:"3"},{id:"sec_7_3",title:"2.2.1.1 Virulence factors of S. aureus\n",level:"3"},{id:"sec_9_2",title:"2.3 Non-secretory factors",level:"2"},{id:"sec_10_2",title:"2.4 Secretory factors",level:"2"},{id:"sec_10_3",title:"2.4.1 Hemolysins",level:"3"},{id:"sec_11_3",title:"2.4.2 Enterotoxins Enterotoxins",level:"3"},{id:"sec_12_3",title:"2.4.3 Streptococcus agalactiae\n",level:"3"},{id:"sec_13_3",title:"2.4.4 Mycoplasma mastitis",level:"3"},{id:"sec_16",title:"3. Routes of entry of mastitis pathogens to the udder",level:"1"},{id:"sec_17",title:"4. Clinical manifestation of mastitis",level:"1"},{id:"sec_18",title:"5. Risk factors for mastitis",level:"1"},{id:"sec_19",title:"6. Role of mastitis on public health",level:"1"},{id:"sec_20",title:"7. Conclusions",level:"1"}],chapterReferences:[{id:"B1",body:'\nPetrovski K, Trajcev M, Buneski G. A review of the factors affecting the costs of bovine mastitis. Journal of the South African Veterinary Association. 2006;77:52-60\n'},{id:"B2",body:'\nNMC. The Cost of Mastitis: Dairy Insight Research 2005/2006: Final report. 2005\n'},{id:"B3",body:'\nIsmail ZB. Mastitis vaccines in dairy cows: Recent developments and recommendations of application. Veterinary world. 2017;10:1057\n'},{id:"B4",body:'\nBradley AJ. Bovine mastitis: An evolving disease. The Veterinary Journal. 2002;164:116-128\n'},{id:"B5",body:'\nCalvinho LF, Oliver SP. Invasion and persistence of streptococcus dysgalactiae within bovine mammary epithelial cells. Journal of Dairy Science. 1998;81:678-686\n'},{id:"B6",body:'\nBecker K, Heilmann C, Peters G. Coagulase-negative staphylococci. Clinical Microbiology Reviews. 2014;27:870-926\n'},{id:"B7",body:'\nDe Vliegher S, Fox LK, Piepers S, McDougall S, Barkema HW. Invited review: Mastitis in dairy heifers: Nature of the disease, potential impact, prevention, and control. Journal of Dairy Science. 2012;95:1025-1040\n'},{id:"B8",body:'\nPiessens V, Van Coillie E, Verbist B, Supre K, Braem G, Van Nuffel A, et al. Distribution of coagulase-negative staphylococcus species from milk and environment of dairy cows differs between herds. Journal of Dairy Science. 2011;94:2933-2944\n'},{id:"B9",body:'\nBlowey RW. Mastitis Control in Dairy Herds. 2nd ed. Cambridge, Mass, MA: CABI; 2010\n'},{id:"B10",body:'\nCameron M, Saab M, Heider L, McClure JT, Rodriguez-Lecompte JC, Sanchez J. Antimicrobial susceptibility patterns of environmental streptococci recovered from bovine milk samples in the maritime provinces of Canada. Front Vet Sci. 2016;3:79\n'},{id:"B11",body:'\nBobbo T, Ruegg PL, Stocco G, Fiore E, Gianesella M, Morgante M, et al. Associations between pathogen-specific cases of subclinical mastitis and milk yield, quality, protein composition, and cheese-making traits in dairy cows. Journal of Dairy Science. 2017;100:4868-4883\n'},{id:"B12",body:'\nBarkema HW, Green MJ, Bradley AJ, Zadoks RN. Invited review: The role of contagious disease in udder health. Journal of Dairy Science. 2009;92:4717-4729\n'},{id:"B13",body:'\nOliver S, Mitchell B. Prevalence of mastitis pathogens in herds participating in a mastitis control program1. Journal of Dairy Science. 1984;67:2436-2440\n'},{id:"B14",body:'\nSmith KL, Todhunter D, Schoenberger P. Environmental mastitis: Cause, prevalence, prevention1, 2. Journal of Dairy Science. 1985;68:1531-1553\n'},{id:"B15",body:'\nBramley AJ. Sources of streptococcus uberis in the dairy herd: I. Isolation from bovine faces and from straw bedding of cattle. Journal of Dairy Research. 1982;49:369-373\n'},{id:"B16",body:'\nZadoks RN, Gillespie BE, Barkema HW, Sampimon OC, Oliver SP, Schukken YH. Clinical, epidemiological and molecular characteristics of Streptococcus uberis infections in dairy herds. Epidemiology and Infection. 2003;130:335-349\n'},{id:"B17",body:'\nAlmeida R, Oliver S. Antiphagocytic effect of the capsule of Streptococcus uberis. Zoonoses and Public Health. 1993;40:707-714\n'},{id:"B18",body:'\nOliver S, Almeida R, Calvinho L. Virulence factors of Streptococcus uberis isolated from cows with mastitis. Zoonoses and Public Health. 1998;45:461-471\n'},{id:"B19",body:'\nMatthews K, Almeida R, Oliver S. Bovine mammary epithelial cell invasion by Streptococcus uberis. Infection and Immunity. 1994;62:5641-5646\n'},{id:"B20",body:'\nAlmeida RA, Kerro Dego O, Headrick SI, Lewis MJ, Oliver SP. Role of Streptococcus uberis adhesion molecule in the pathogenesis of Streptococcus uberis mastitis. Veterinary Microbiology. 2015;179:332-335\n'},{id:"B21",body:'\nAlmeida RA, Fang W, Oliver SP. Adherence and internalization of Streptococcus uberis to bovine mammary epithelial cells are mediated by host cell proteoglycans. FEMS Microbiology Letters. 1999;177:313-317\n'},{id:"B22",body:'\nPatel D, Almeida RA, Dunlap JR, Oliver SP. Bovine lactoferrin serves as a molecular bridge for internalization of Streptococcus uberis into bovine mammary epithelial cells. Veterinary Microbiology. 2009;137:297-301\n'},{id:"B23",body:'\nFang W, Oliver SP. Identification of lactoferrin-binding proteins in bovine mastitis-causing Streptococcus uberis. FEMS Microbiology Letters. 1999;176:91-96\n'},{id:"B24",body:'\nAlmeida RA, Luther DA, Park HM, Oliver SP. Identification, isolation, and partial characterization of a novel Streptococcus uberis adhesion molecule (SUAM). Veterinary Microbiology. 2006;115:183-191\n'},{id:"B25",body:'\nVanderhaeghen W, Piepers S, Leroy F, Van Coillie E, Haesebrouck F, De Vliegher S. Invited review: Effect, persistence, and virulence of coagulase-negative Staphylococcus species associated with ruminant udder health. Journal of Dairy Science. 2014;97:5275-5293\n'},{id:"B26",body:'\nTaponen S, Pyorala S. Coagulase-negative staphylococci as cause of bovine mastitis- not so different from Staphylococcus aureus? Veterinary Microbiology. 2009;134:29-36\n'},{id:"B27",body:'\nNyman AK, Fasth C, Waller KP. Intramammary infections with different non-aureus staphylococci in dairy cows. Journal of Dairy Science. 2018;101:1403-1418\n'},{id:"B28",body:'\nDe Vliegher S, Opsomer G, Vanrolleghem A, Devriese L, Sampimon O, Sol J, et al. In vitro growth inhibition of major mastitis pathogens by Staphylococcus chromogenes originating from teat apices of dairy heifers. Veterinary Microbiology. 2004;101:215-221\n'},{id:"B29",body:'\nGillespie BE, Headrick SI, Boonyayatra S, Oliver SP. Prevalence and persistence of coagulase-negative Staphylococcus species in three dairy research herds. Veterinary Microbiology. 2009;134:65-72\n'},{id:"B30",body:'\nTaponen S, Bjorkroth J, Pyorala S. Coagulase-negative staphylococci isolated from bovine extramammary sites and intramammary infections in a single dairy herd. The Journal of Dairy Research. 2008;75:422-429\n'},{id:"B31",body:'\nFry PR, Middleton JR, Dufour S, Perry J, Scholl D, Dohoo I. Association of coagulase-negative staphylococcal species, mammary quarter milk somatic cell count, and persistence of intramammary infection in dairy cattle. Journal of Dairy Science. 2014;97:4876-4885\n'},{id:"B32",body:'\nWoodward W, Besser T, Ward A, Corbeil L. In vitro growth inhibition of mastitis pathogens by bovine teat skin normal flora. Canadian Journal of Veterinary Research. 1987;51:27\n'},{id:"B33",body:'\nLevison L, Miller-Cushon E, Tucker A, Bergeron R, Leslie K, Barkema H, et al. Incidence rate of pathogen-specific clinical mastitis on conventional and organic Canadian dairy farms. Journal of Dairy Science. 2016;99:1341-1350\n'},{id:"B34",body:'\nPyorala S, Taponen S. Coagulase-negative staphylococci-emerging mastitis pathogens. Veterinary Microbiology. 2009;134:3-8\n'},{id:"B35",body:'\nTaponen S, Koort J, Bjorkroth J, Saloniemi H, Pyorala S. Bovine intramammary infections caused by coagulase-negative staphylococci may persist throughout lactation according to amplified fragment length polymorphism-based analysis. Journal of Dairy Science. 2007;90:3301-3307\n'},{id:"B36",body:'\nTaponen S, Liski E, Heikkila AM, Pyorala S. Factors associated with intramammary infection in dairy cows caused by coagulase-negative staphylococci, Staphylococcus aureus, Streptococcus uberis, Streptococcus dysgalactiae, Corynebacterium bovis, or Escherichia coli. Journal of Dairy Science. 2017;100:493-503\n'},{id:"B37",body:'\nHogan J, Larry SK. Coliform mastitis. Veterinary Research. 2003;34:507-519\n'},{id:"B38",body:'\nBotrel MA, Haenni M, Morignat E, Sulpice P, Madec JY, Calavas D. Distribution and antimicrobial resistance of clinical and subclinical mastitis pathogens in dairy cows in Rhone-Alpes, France. Foodborne Pathogens and Disease. 2010;7:479-487\n'},{id:"B39",body:'\nBradley AJ, Leach KA, Breen JE, Green LE, Green MJ. Survey of the incidence and aetiology of mastitis on dairy farms in England and Wales. The Veterinary Record. 2007;160:253-257\n'},{id:"B40",body:'\nBurvenich C, Van Merris V, Mehrzad J, Diez-Fraile A, Duchateau L. Severity of E. coli mastitis is mainly determined by cow factors. 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PLoS One. 2015;10:e0134797\n'},{id:"B45",body:'\nPorcherie A, Gilbert FB, Germon P, Cunha P, Trotereau A, Rossignol C, et al. IL-17A is an important effector of the immune response of the mammary gland to Escherichia coli infection. Journal of Immunology. 2016;196:803-812\n'},{id:"B46",body:'\nHerry V, Gitton C, Tabouret G, Reperant M, Forge L, Tasca C, et al. Local immunization impacts the response of dairy cows to Escherichia coli mastitis. Scientific Reports. 2017;7:3441\n'},{id:"B47",body:'\nUSDA APHIS U. Antibiotic Use on U.S. Dairy Operations, 2002 and 2007 (infosheet, 5p, October, 2008) [Online]. 2008a. Available from: https://www.aphis.usda.gov/animal_health/nahms/dairy/downloads/dairy07/Dairy07_is_AntibioticUse_1.pdf [Accessed: 23 March 2020]\n'},{id:"B48",body:'\nUSDA APHIS U. United States Department of Agriculture, Animal Plant Health Inspection Service National Animal Health Monitoring System. Highlights of Dairy 2007 Part III: Reference of dairy cattle health and management practices in the United States, 2007 (info sheet 4p, October, 2008) [Online]. 2008b. Available from: https://www.aphis.usda.gov/animal_health/nahms/dairy/downloads/dairy07/Dairy07_ir_Food_safety.pdf [Accessed: 23 March 2020]\n'},{id:"B49",body:'\nTakahashi T, Satoh I, Kikuchi N. Phylogenetic relationships of 38 taxa of the genus Staphylococcus based on 16S rRNA gene sequence analysis. International Journal of Systematic Bacteriology. 1999;49(Pt 2):725-728\n'},{id:"B50",body:'\nFox LK, Hancock DD. Effect of segregation on prevention of intramammary infections by Staphylococcus aureus. Journal of Dairy Science. 1989;72:540-544\n'},{id:"B51",body:'\nvan Leeuwen WB, Melles DC, Alaidan A, Al-Ahdal M, Boelens HA, Snijders SV, et al. Host-and tissue-specific pathogenic traits of Staphylococcus aureus. 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Journal of Dairy Science. 2000;83:418-429\n'},{id:"B124",body:'\nJosse J, Laurent F, Diot A. Staphylococcal adhesion and host cell invasion: Fibronectin-binding and other mechanisms. Frontiers in Microbiology. 2017;8:2433\n'},{id:"B125",body:'\nLoffler B, Tuchscherr L, Niemann S, Peters G. Staphylococcus aureus persistence in non-professional phagocytes. International Journal of Medical Microbiology. 2014;304:170-176\n'},{id:"B126",body:'\nMoormeier DE, Bayles KW. Staphylococcus aureus biofilm: A complex developmental organism. Molecular Microbiology. 2017;104:365-376\n'},{id:"B127",body:'\nFowler T, Wann ER, Joh D, Johansson S, Foster TJ, Hook M. Cellular invasion by Staphylococcus aureus involves a fibronectin bridge between the bacterial fibronectin-binding MSCRAMMs and host cell beta-1 integrins. European Journal of Cell Biology. 2000;79:672-679\n'},{id:"B128",body:'\nAbdi RD, Gillespie BE, Vaughn J, Merrill C, Headrick SI, Ensermu DB, et al. Antimicrobial resistance of Staphylococcus aureus isolates from dairy cows and genetic diversity of resistant isolates. Foodborne Pathogens and Disease. 2018;15:449-458\n'},{id:"B129",body:'\nTyler JW, Wilson RC, Dowling P. Treatment of subclinical mastitis. The Veterinary Clinics of North America. Food Animal Practice. 1992;8:17-28\n'},{id:"B130",body:'\nBrüssow H, Canchaya C, Hardt W-D. Phages and the evolution of bacterial pathogens: From genomic rearrangements to lysogenic conversion. Microbiology and Molecular Biology Reviews. 2004;68:560-602\n'},{id:"B131",body:'\nOwens W, Ray C, Watts J, Yancey R. Comparison of success of antibiotic therapy during lactation and results of antimicrobial susceptibility tests for bovine mastitis. Journal of Dairy Science. 1997;80:313-317\n'},{id:"B132",body:'\nCarter E, Kerr D. Optimization of DNA-based vaccination in cows using green fluorescent protein and protein a as a prelude to immunization against staphylococcal mastitis. Journal of Dairy Science. 2003;86:1177-1186\n'},{id:"B133",body:'\nEmaneini M, Jabalameli F, Abani S, Dabiri H, Beigverdi R. Comparison of virulence factors and capsular types of Streptococcus agalactiae isolated from human and bovine infections. Microbial Pathogenesis. 2016;91:1-4\n'},{id:"B134",body:'\nFarnsworth R. Indications of Contagious and Environmental Mastitis Pathogens in a Dairy Herd. USA: Annual Meeting of National Mastitis Council; 1987\n'},{id:"B135",body:'\nHillerton JE, Berry EA. The management and treatment of environmental streptococcal mastitis. Veterinary Clinics of North America: Food Animal Practice. 2003;19:157-169\n'},{id:"B136",body:'\nNicholas R, Ayling R, McAuliffe L. Mycoplasma mastitis. Veterinary Record. 2007;160:382-382\n'},{id:"B137",body:'\nUSDA APHIS U. United States Department of Agriculture, Animal Plant Health Inspection Service National Animal Health Monitoring System. Injection Practices on U.S. Dairy Operations, 2007 (Veterinary Services Info Sheet 4 p, February 2009) [Online]. 2009. Available from https://www.aphis.usda.gov/animal_health/nahms/dairy/downloads/dairy07/Dairy07_is_InjectionPrac_1.pdf [Accessed: 23 March 2020]\n'},{id:"B138",body:'\nFox LK. Mycoplasma mastitis: Causes, transmission, and control. Veterinary Clinics: Food Animal Practice. 2012;28:225-237\n'},{id:"B139",body:'\nJasper DE. Bovine mycoplasmal mastitis. Advances in Veterinary Science and Comparative Medicine. 1981;25:121-157\n'},{id:"B140",body:'\nDogan B, Klaessig S, Rishniw M, Almeida R, Oliver S, Simpson K, et al. Adherent and invasive Escherichia coli are associated with persistent bovine mastitis. Veterinary Microbiology. 2006;116:270-282\n'},{id:"B141",body:'\nAlmeida RA, Dogan B, Klaessing S, Schukken YH, Oliver SP. Intracellular fate of strains of Escherichia coli isolated from dairy cows with acute or chronic mastitis. Veterinary Research Communications. 2011;35:89-101\n'},{id:"B142",body:'\nBayles KW, Wesson CA, Liou LE, Fox LK, Bohach GA, Trumble W. Intracellular Staphylococcus aureus escapes the endosome and induces apoptosis in epithelial cells. Infection and Immunity. 1998;66:336-342\n'},{id:"B143",body:'\nCraven N, Anderson JC. Phagocytosis of Staphylococcus aureus by bovine mammary gland macrophages and intracellular protection from antibiotic action in vitro and in vivo. The Journal of Dairy Research. 1984;51:513-523\n'},{id:"B144",body:'\nZhao S, Gao Y, Xia X, Che Y, Wang Y, Liu H, et al. TGF-β1 promotes Staphylococcus aureus adhesion to and invasion into bovine mammary fibroblasts via the ERK pathway. Microbial Pathogenesis. 2017;106:25-29\n'},{id:"B145",body:'\nPerez-Casal J, Prysliak T, Kerro Dego O, Potter AA. Immune responses to a Staphylococcus aureus GapC/B chimera and its potential use as a component of a vaccine for S. aureus mastitis. Veterinary Immunology and Immunopathology. 2006;109:85-97\n'},{id:"B146",body:'\nGudding R, McDonald J, Cheville N. Pathogenesis of Staphylococcus aureus mastitis: Bacteriologic, histologic, and ultrastructural pathologic findings. American Journal of Veterinary Research. 1984;45:2525-2531\n'},{id:"B147",body:'\nZecconi A, Cesaris L, Liandris E, Dapra V, Piccinini R. Role of several Staphylococcus aureus virulence factors on the inflammatory response in bovine mammary gland. Microbial Pathogenesis. 2006;40:177-183\n'},{id:"B148",body:'\nHarmon R. Physiology of mastitis and factors affecting somatic cell counts1. Journal of Dairy Science. 1994;77:2103-2112\n'},{id:"B149",body:'\nKeefe G. Update on control of Staphylococcus aureus and Streptococcus agalactiae for management of mastitis. The Veterinary Clinics of North America. Food Animal Practice. 2012;28:203-216\n'},{id:"B150",body:'\nZecconi A. Staphylococcus aureus mastitis: What we need to know to con. Israel Journal of Veterinary Medicine. 2010;65:93-99\n'},{id:"B151",body:'\nMalek dos Reis CB, Barreiro JR, Mestieri L, MADF P, dos Santos MV. Effect of somatic cell count and mastitis pathogens on milk composition in Gyr cows. BMC Veterinary Research. 2013;9:67\n'},{id:"B152",body:'\nAkers RM, Nickerson SC. Mastitis and its impact on structure and function in the ruminant mammary gland. Journal of Mammary Gland Biology and Neoplasia. 2011;16:275-289\n'},{id:"B153",body:'\nSordillo LM, Streicher KL. Mammary gland immunity and mastitis susceptibility. Journal of Mammary Gland Biology and Neoplasia. 2002;7:135-146\n'},{id:"B154",body:'\nHogan J, Smith K. 1987. A practical look at environmental mastitis. The compendium on continuing education for the practicing veterinarian (USA).\n'},{id:"B155",body:'\nGibson H, Sinclair LA, Brizuela CM, Worton HL, Protheroe RG. Effectiveness of selected premilking teat-cleaning regimes in reducing teat microbial load on commercial dairy farms. Letters in Applied Microbiology. 2008;46:295-300\n'},{id:"B156",body:'\nGleeson D, O’Brien B, Flynn J, O’Callaghan E, Galli F. Effect of pre-milking teat preparation procedures on the microbial count on teats prior to cluster application. Irish Veterinary Journal. 2009;62:461-467\n'},{id:"B157",body:'\nDufour S, Frechette A, Barkema HW, Mussell A, Scholl DT. Invited review: Effect of udder health management practices on herd somatic cell count. Journal of Dairy Science. 2011;94:563-579\n'},{id:"B158",body:'\nMordak R, Stewart PA. Periparturient stress and immune suppression as a potential cause of retained placenta in highly productive dairy cows: Examples of prevention. Acta Veterinaria Scandinavica. 2015;57:84\n'},{id:"B159",body:'\nDrackley JK. ADSA foundation scholar award. Biology of dairy cows during the transition period: The final frontier? Journal of Dairy Science. 1999;82:2259-2273\n'},{id:"B160",body:'\nEsposito G, Irons PC, Webb EC, Chapwanya A. Interactions between negative energy balance, metabolic diseases, uterine health and immune response in transition dairy cows. Animal Reproduction Science. 2014;144:60-71\n'},{id:"B161",body:'\nBach A. Associations between several aspects of heifer development and dairy cow survivability to second lactation. Journal of Dairy Science. 2011;94:1052-1057\n'},{id:"B162",body:'\nOliver SP, Jayarao BM, Almeida RA. Foodborne pathogens, mastitis, milk quality, and dairy food safety. In: Proceedings of National Mastitis Council (NMC), 44th meeting, January 16-19. Orlando, FL; 2005. pp. 3-27\n'},{id:"B163",body:'\nScallan E, Hoekstra RM, Angulo FJ, Tauxe RV, Widdowson M-A, Roy SL, et al. Foodborne illness acquired in the United States—Major pathogens. Emerging Infectious Diseases. 2011;17:7-15\n'},{id:"B164",body:'\nJayarao BM, Henning DR. Prevalence of foodborne pathogens in bulk tank milk1. Journal of Dairy Science. 2001;84:2157-2162\n'},{id:"B165",body:'\nGillespie BE, Oliver SP. Simultaneous detection of mastitis pathogens, Staphylococcus aureus, Streptococcus uberis, and Streptococcus agalactiae by multiplex real-time polymerase chain reaction. Journal of Dairy Science. 2005;88:3510-3518\n'},{id:"B166",body:'\nSteele ML, Mcnab WB, Poppe C, Griffiths MW, Chen S, Degrandis SA, et al. Survey of Ontario bulk tank raw Milk for food-borne pathogens. Journal of Food Protection. 1997;60:1341-1346\n'},{id:"B167",body:'\nVan Kessel J, Karns J, Gorski L, McCluskey B, Perdue M. Prevalence of Salmonellae, Listeria monocytogenes, and fecal coliforms in bulk tank milk on US dairies. Journal of Dairy Science. 2004;87:2822-2830\n'},{id:"B168",body:'\nRohrbach BW, Draughon FA, Davidson PM, Oliver SP. Prevalence of Listeria monocytogenes, Campylobacter jejuni, Yersinia enterocolitica, and Salmonella in bulk tank milk: Risk factors and risk of human exposure. Journal of Food Protection. 1992;55:93-97\n'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Oudessa Kerro Dego",address:"okerrode@utk.edu",affiliation:'
Department of Animal Science, The University of Tennessee, Institute of Agriculture, Knoxville, TN, USA
'}],corrections:null},book:{id:"8545",type:"book",title:"Animal Reproduction in Veterinary Medicine",subtitle:null,fullTitle:"Animal Reproduction in Veterinary Medicine",slug:"animal-reproduction-in-veterinary-medicine",publishedDate:"January 20th 2021",bookSignature:"Faruk Aral, Rita Payan-Carreira and Miguel Quaresma",coverURL:"https://cdn.intechopen.com/books/images_new/8545.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",isbn:"978-1-83881-937-8",printIsbn:"978-1-83881-936-1",pdfIsbn:"978-1-83881-938-5",isAvailableForWebshopOrdering:!0,editors:[{id:"25600",title:"Prof.",name:"Faruk",middleName:null,surname:"Aral",slug:"faruk-aral",fullName:"Faruk Aral"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}}},profile:{item:{id:"35158",title:"Dr.",name:"Lourdes de Fátima",middleName:null,surname:"Ibañez-Valdés",email:"lourdesfibanezvaldes@gmail.com",fullName:"Lourdes de Fátima Ibañez-Valdés",slug:"lourdes-de-fatima-ibanez-valdes",position:null,biography:"Dr. Lourdes de Fátima Ibañez-Valdés was born on October 13, 1963 in Havana City, Cuba. She graduated as a Medical Doctor from Havana University in 1998. She is also a specialist in family medicine, has her MSc in neuro-infectology, and is an aggregated scientist researcher at the Cuban Academy of Sciences. Currently she works for Department of Neurology at Walter Sisulu University, Nelson Mandela Academic Central Hospital in Mthatha, Eastern Cape Province, South Africa where she is the Head of Epilepsy and NCC-clinic. She has presented more than 60 papers at national and international medical conferences, published 8 chapters in text books and more than 40 articles in peer-reviewed journals. She is a member of 10 medical societies worldwide.",institutionString:"Walter Susulu University",profilePictureURL:"https://mts.intechopen.com/storage/users/35158/images/system/35158.jpeg",totalCites:0,totalChapterViews:"0",outsideEditionCount:0,totalAuthoredChapters:"10",totalEditedBooks:"0",personalWebsiteURL:null,twitterURL:null,linkedinURL:null,institution:null},booksEdited:[],chaptersAuthored:[{id:"19499",title:"Treatment of Epilepsy Secondary to Neurocysticercosis",slug:"treatment-of-epilepsy-secondary-to-neurocysticercosis",abstract:null,signatures:"Humberto Foyaca-Sibat and Lourdes de Fátima Ibañez-Valdés",authors:[{id:"35158",title:"Dr.",name:"Lourdes de Fátima",surname:"Ibañez-Valdés",fullName:"Lourdes de Fátima Ibañez-Valdés",slug:"lourdes-de-fatima-ibanez-valdes",email:"lourdesfibanezvaldes@gmail.com"},{id:"142346",title:"Prof.",name:"Humberto",surname:"Foyaca Sibat",fullName:"Humberto Foyaca Sibat",slug:"humberto-foyaca-sibat",email:"humbertofoyacasibat@gmail.com"}],book:{id:"210",title:"Novel Treatment of Epilepsy",slug:"novel-treatment-of-epilepsy",productType:{id:"1",title:"Edited Volume"}}},{id:"21745",title:"Clinical Features of Epilepsy Secondary to Neurocysticercosis at the Insular Lobe",slug:"clinical-features-of-epilepsy-secondary-to-neurocysticercosis-at-the-insular-lobe",abstract:null,signatures:"Humberto Foyaca-Sibat and Lourdes de Fátima Ibañez Valdés",authors:[{id:"35158",title:"Dr.",name:"Lourdes de Fátima",surname:"Ibañez-Valdés",fullName:"Lourdes de Fátima Ibañez-Valdés",slug:"lourdes-de-fatima-ibanez-valdes",email:"lourdesfibanezvaldes@gmail.com"},{id:"142346",title:"Prof.",name:"Humberto",surname:"Foyaca Sibat",fullName:"Humberto Foyaca Sibat",slug:"humberto-foyaca-sibat",email:"humbertofoyacasibat@gmail.com"}],book:{id:"627",title:"Novel Aspects on Epilepsy",slug:"novel-aspects-on-epilepsy",productType:{id:"1",title:"Edited Volume"}}},{id:"42382",title:"Uncommon Clinical Manifestations of Cysticercosis",slug:"uncommon-clinical-manifestations-of-cysticercosis",abstract:null,signatures:"Humberto Foyaca Sibat and Lourdes de Fátima Ibañez Valdés",authors:[{id:"35158",title:"Dr.",name:"Lourdes de Fátima",surname:"Ibañez-Valdés",fullName:"Lourdes de Fátima Ibañez-Valdés",slug:"lourdes-de-fatima-ibanez-valdes",email:"lourdesfibanezvaldes@gmail.com"},{id:"142346",title:"Prof.",name:"Humberto",surname:"Foyaca Sibat",fullName:"Humberto Foyaca Sibat",slug:"humberto-foyaca-sibat",email:"humbertofoyacasibat@gmail.com"}],book:{id:"2980",title:"Novel Aspects on Cysticercosis and Neurocysticercosis",slug:"novel-aspects-on-cysticercosis-and-neurocysticercosis",productType:{id:"1",title:"Edited Volume"}}},{id:"42400",title:"What is a Low Frequency of the Disseminated Cysticercosis Suggests that Neurocysticercosis is Going to Disappear?",slug:"what-is-a-low-frequency-of-the-disseminated-cysticercosis-suggests-that-neurocysticercosis-is-going-",abstract:null,signatures:"Humberto Foyaca Sibat and Lourdes de Fátima Ibañez Valdés",authors:[{id:"35158",title:"Dr.",name:"Lourdes de Fátima",surname:"Ibañez-Valdés",fullName:"Lourdes de Fátima Ibañez-Valdés",slug:"lourdes-de-fatima-ibanez-valdes",email:"lourdesfibanezvaldes@gmail.com"},{id:"142346",title:"Prof.",name:"Humberto",surname:"Foyaca Sibat",fullName:"Humberto Foyaca Sibat",slug:"humberto-foyaca-sibat",email:"humbertofoyacasibat@gmail.com"}],book:{id:"2980",title:"Novel Aspects on Cysticercosis and Neurocysticercosis",slug:"novel-aspects-on-cysticercosis-and-neurocysticercosis",productType:{id:"1",title:"Edited Volume"}}},{id:"42403",title:"Introduction to Cysticercosis and Its Historical Background",slug:"introduction-to-cysticercosis-and-its-historical-background",abstract:null,signatures:"Humberto Foyaca Sibat and Lourdes de Fátima Ibañez Valdés",authors:[{id:"35158",title:"Dr.",name:"Lourdes de Fátima",surname:"Ibañez-Valdés",fullName:"Lourdes de Fátima Ibañez-Valdés",slug:"lourdes-de-fatima-ibanez-valdes",email:"lourdesfibanezvaldes@gmail.com"},{id:"142346",title:"Prof.",name:"Humberto",surname:"Foyaca Sibat",fullName:"Humberto Foyaca Sibat",slug:"humberto-foyaca-sibat",email:"humbertofoyacasibat@gmail.com"}],book:{id:"2980",title:"Novel Aspects on Cysticercosis and Neurocysticercosis",slug:"novel-aspects-on-cysticercosis-and-neurocysticercosis",productType:{id:"1",title:"Edited Volume"}}},{id:"59574",title:"Psychogenic Nonepileptic Seizures in Patients Living with Neurocysticercosis",slug:"psychogenic-nonepileptic-seizures-in-patients-living-with-neurocysticercosis",abstract:"Very little is known about psychogenic nonepileptic seizures (PNES) in patients with cysticercosis in the brain. We review the available medical literature on PNES in patients with neurocysticercosis and found no reports on this matter apart from our publications. Based on our previous experiences with patients presenting neurocysticercosis and associated epileptic seizures and/or PNES, we compared our results with the current advances published up to date. We also discuss the available information about epidemiology including frequency and prevalence, the role of sexual abuse on the ethiopathogenesis of PNES, clinical diagnosis and its differential diagnosis, laboratory investigations and video electroencephalogram, methods to induce PNES, medical treatment, and psychological intervention.",signatures:"Lourdes de Fátima Ibañez-Valdés and Humberto Foyaca-Sibat",authors:[{id:"35158",title:"Dr.",name:"Lourdes de Fátima",surname:"Ibañez-Valdés",fullName:"Lourdes de Fátima Ibañez-Valdés",slug:"lourdes-de-fatima-ibanez-valdes",email:"lourdesfibanezvaldes@gmail.com"}],book:{id:"5710",title:"Seizures",slug:"seizures",productType:{id:"1",title:"Edited Volume"}}},{id:"61421",title:"Introductory Chapter: Cognitive Disorders and Its Historical Background",slug:"introductory-chapter-cognitive-disorders-and-its-historical-background",abstract:null,signatures:"Humberto Foyaca Sibat and Lourdes de Fátima Ibañez Valdés",authors:[{id:"35158",title:"Dr.",name:"Lourdes de Fátima",surname:"Ibañez-Valdés",fullName:"Lourdes de Fátima Ibañez-Valdés",slug:"lourdes-de-fatima-ibanez-valdes",email:"lourdesfibanezvaldes@gmail.com"},{id:"142346",title:"Prof.",name:"Humberto",surname:"Foyaca Sibat",fullName:"Humberto Foyaca Sibat",slug:"humberto-foyaca-sibat",email:"humbertofoyacasibat@gmail.com"}],book:{id:"6414",title:"Cognitive Disorders",slug:"cognitive-disorders",productType:{id:"1",title:"Edited Volume"}}},{id:"64348",title:"Updated Information on Some Cognitive Disorders",slug:"updated-information-on-some-cognitive-disorders",abstract:"Dementia is a neurodegenerative disorder characterized by a progressive decline in cognitive and daily living activities. The present review aimed to highlight the most relevant and updated information available in the medical literature on mild cognitive impairment, Parkinson’s dementia, Alzheimer’s disease, vascular dementia, normal pressure hydrocephalus, and Wernicke-Korsakoff and to deliver some personal observations about cognitive disorders and dementia.",signatures:"Humberto Foyaca Sibat and Lourdes de Fatima Ibanez Valdes",authors:[{id:"35158",title:"Dr.",name:"Lourdes de Fátima",surname:"Ibañez-Valdés",fullName:"Lourdes de Fátima Ibañez-Valdés",slug:"lourdes-de-fatima-ibanez-valdes",email:"lourdesfibanezvaldes@gmail.com"},{id:"142346",title:"Prof.",name:"Humberto",surname:"Foyaca Sibat",fullName:"Humberto Foyaca Sibat",slug:"humberto-foyaca-sibat",email:"humbertofoyacasibat@gmail.com"}],book:{id:"6414",title:"Cognitive Disorders",slug:"cognitive-disorders",productType:{id:"1",title:"Edited Volume"}}},{id:"71937",title:"Introduction to Novel Motor Neuron Disease",slug:"introduction-to-novel-motor-neuron-disease",abstract:"Motor neuron disease (MND) is a progressive and fatal neuromuscular disease; the most common and severe form of MND presentation is amyotrophic lateral sclerosis (ALS), commonly known as Lou Gehrig’s disease. The majority of ALS patients die within 2–5 years of receiving a diagnosis. Familial ALS is a hereditary form of the disease and accounts for 5–10% of cases, whereas the remaining cases have no clearly defined etiology. ALS affects persons of all ethnicities and races; currently, no curative treatment for ALS is available worldwide. ALS is also the major adult-onset MND and is clinically, pathologically, and genetically associated with fronto-temporal dementia in some cases, which is the second cause of dementia in elderly people. However, MND does not affect sphincter, sexual function, or eye movements. MND is the most common degenerative disorder affecting the upper and lower motor neurons at the same time. Most of the patients presenting MND in our series complained of muscle weakness, muscle wasting, fasciculation, and spasticity plus lower cranial nerve disturbances. According to our bibliographic studies, apart from nusinersen, it seems to be that riluzole and edaravone also improve motor neuron function by acting on SK channels.",signatures:"Humberto Foyaca Sibat and Lourdes de Fátima Ibañez Valdés",authors:[{id:"35158",title:"Dr.",name:"Lourdes de Fátima",surname:"Ibañez-Valdés",fullName:"Lourdes de Fátima Ibañez-Valdés",slug:"lourdes-de-fatima-ibanez-valdes",email:"lourdesfibanezvaldes@gmail.com"},{id:"142346",title:"Prof.",name:"Humberto",surname:"Foyaca Sibat",fullName:"Humberto Foyaca Sibat",slug:"humberto-foyaca-sibat",email:"humbertofoyacasibat@gmail.com"}],book:{id:"7070",title:"Novel Aspects on Motor Neuron Disease",slug:"novel-aspects-on-motor-neuron-disease",productType:{id:"1",title:"Edited Volume"}}},{id:"72001",title:"Introductory Chapter: Introduction to Novel Aspects on Motor Neuron Disease",slug:"introductory-chapter-introduction-to-novel-aspects-on-motor-neuron-disease",abstract:null,signatures:"Humberto Foyaca Sibat and Lourdes de Fátima Ibañez Valdés",authors:[{id:"35158",title:"Dr.",name:"Lourdes de Fátima",surname:"Ibañez-Valdés",fullName:"Lourdes de Fátima Ibañez-Valdés",slug:"lourdes-de-fatima-ibanez-valdes",email:"lourdesfibanezvaldes@gmail.com"},{id:"142346",title:"Prof.",name:"Humberto",surname:"Foyaca Sibat",fullName:"Humberto Foyaca Sibat",slug:"humberto-foyaca-sibat",email:"humbertofoyacasibat@gmail.com"}],book:{id:"7070",title:"Novel Aspects on Motor Neuron Disease",slug:"novel-aspects-on-motor-neuron-disease",productType:{id:"1",title:"Edited Volume"}}}],collaborators:[{id:"34060",title:"Dr.",name:"Iztok",surname:"Grabnar",slug:"iztok-grabnar",fullName:"Iztok Grabnar",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"35052",title:"Dr.",name:"Magda",surname:"Giordano",slug:"magda-giordano",fullName:"Magda Giordano",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"35313",title:"PhD.",name:"Massoud",surname:"Houshmand",slug:"massoud-houshmand",fullName:"Massoud Houshmand",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/35313/images/159_n.jpg",biography:"2007- -:\t\tHead of the Genetic Diagnostic Lab, Special Medical Center\r\n2005-2007:\tHead of the Houshmand Medical Molecular Genetic Lab\r\n1999-2005:\tHead of the Genetic Diagnostic department; NIGEB\r\n2003-2004: Head of the Genetic Diagnostic Department; London Hospital , Kuwait \r\n1992-1999:\tSahlgrenska University Hospital, Gothenburh, Sweden.\r\n1991-1992:\tBotanic Institution, Genetic department, Gothenburg, Sweden. \r\n1990-1991:\tBotanic Institution, Physiology department, Gothenburg, Sweden. \r\n1990-1990:\tRadcliffe Infirmary Hospital, Oxford, England. \r\n1989-1989:\tBiology department, Astra Hassle, Gothenburg, Sweden.",institutionString:null,institution:{name:"National Institute of Genetic Engineering and Biotechnology",institutionURL:null,country:{name:"Iran"}}},{id:"35370",title:"Prof.",name:"Motohiro",surname:"Okada",slug:"motohiro-okada",fullName:"Motohiro Okada",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"38445",title:"Dr.",name:"Katarina",surname:"Vučićević",slug:"katarina-vucicevic",fullName:"Katarina Vučićević",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"43136",title:"Dr.",name:"Karl Otto",surname:"Nakken",slug:"karl-otto-nakken",fullName:"Karl Otto Nakken",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"43916",title:"Prof.",name:"Branislava",surname:"Miljković",slug:"branislava-miljkovic",fullName:"Branislava Miljković",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"60881",title:"Dr.",name:"Raul",surname:"Sanmartin",slug:"raul-sanmartin",fullName:"Raul Sanmartin",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"83018",title:"Prof.",name:"Sunao",surname:"Kaneko",slug:"sunao-kaneko",fullName:"Sunao Kaneko",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Hirosaki University",institutionURL:null,country:{name:"Japan"}}},{id:"83208",title:"Dr.",name:"Fatima",surname:"Churruca",slug:"fatima-churruca",fullName:"Fatima Churruca",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of the Basque Country",institutionURL:null,country:{name:"Spain"}}}]},generic:{page:{slug:"open-access-funding-funders-list",title:"List of Funders by Country",intro:"
If your research is financed through any of the below-mentioned funders, please consult their Open Access policies or grant ‘terms and conditions’ to explore ways to cover your publication costs (also accessible by clicking on the link in their title).
\n\n
IMPORTANT: You must be a member or grantee of the listed funders in order to apply for their Open Access publication funds. Do not attempt to contact the funders if this is not the case.
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UK Research and Innovation (former Research Councils UK (RCUK) - including AHRC, BBSRC, ESRC, EPSRC, MRC, NERC, STFC.) Processing charges for books/book chapters can be covered through RCUK block grants which are allocated to most universities in the UK, which then handle the OA publication funding requests. It is at the discretion of the university whether it will approve the request.)
UK Research and Innovation (former Research Councils UK (RCUK) - including AHRC, BBSRC, ESRC, EPSRC, MRC, NERC, STFC.) Processing charges for books/book chapters can be covered through RCUK block grants which are allocated to most universities in the UK, which then handle the OA publication funding requests. It is at the discretion of the university whether it will approve the request.)
Wellcome Trust (Funding available only to Wellcome-funded researchers/grantees)
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