\r\n\tDiagnosis and management of complications while on ECMO therapy and weaning to recovery or advanced therapies will be also discussed.
\r\n
\r\n\tChapters focusing on specific patient populations, such as cardiogenic shock, thoracic organ transplantation, trauma, and neonates, Covid-19 syndrome, will provide insight into the particular challenges in dealing with the unusual problems of these very diverse groups.
\r\n
\r\n\tThe goal of this book is to provide, thanks to the thorough contributions by known experts in the field, a framework for successful program development. Hopefully, this text will also inspire others to further advance this delicate field.
",isbn:"978-1-80356-549-1",printIsbn:"978-1-80356-548-4",pdfIsbn:"978-1-80356-550-7",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,hash:"254c18981115aeda50bdf71829902141",bookSignature:"Dr. Antonio Loforte",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11718.jpg",keywords:"Heart Failure, Cardiogenic Shock, Respiratory Failure, Circulatory Failure, End-Organ Dysfunction, VA-ECMO, VV ECMO, Central ECMO, ECMO Running, Weaning off ECMO, Adverse Events While on ECMO, Survival on ECMO",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"March 10th 2022",dateEndSecondStepPublish:"April 7th 2022",dateEndThirdStepPublish:"June 6th 2022",dateEndFourthStepPublish:"August 25th 2022",dateEndFifthStepPublish:"October 24th 2022",remainingDaysToSecondStep:"a month",secondStepPassed:!0,currentStepOfPublishingProcess:3,editedByType:null,kuFlag:!1,biosketch:"Dr. Loforte is a dedicated and pioneering researcher in the surgical treatment of advanced heart failure in terms of LVAD, BVAD, ECLS, and TAH adoption in different clinical scenarios. 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\n
1. Introduction
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In triggering an autoimmune response in multiple sclerosis (MS), environmental factors have a strong effect and interact with complex risk-conferring genetic variants [1–3]. In this process, the myelin reactive Tcells with altered functional characteristics are formed and activated [4]. The immune regulatory defects and increased migration of autoreactive lymphocytes within the brain, that are the typical traits in MS, lead to the process of inflammation, myelin sheath breakdown, demyelination, remyelination, neuronal and axonal degeneration, and subsequent deterioration of neurological functions [5]. Neurodegeneration, neuronal and axonal damage that correlate with the progression of the disease can be a process partly independent from inflammation and demyelination or even can be the cause of demyelination occurring from the disease onset. Axonal damage in MS is a result of many pathological processes [6, 7].
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It is still unclear as to why MS is so devastating and rapidly progressive in one patient and less so in another. Because the etiopathogenesis of MS is very complex, disease development as well as the characteristics of disease progression is probably the consequence of multifactorial interaction. Our work is dedicated to genetic and biochemical markers that were chosen according to their possible role in the modulation of the immune response in MS patients and thus could be associated with MS risk and disability progression. In our work, we discuss the immune response-related genetic factors associated with MS that can be generally classified into HLA genes and non-HLA genes. Since vitamin D can have an important role in the pathogenesis of MS, great part of our work is dedicated to its metabolism, functions, mechanisms of action in MS and genetic factors that can modify these effects. In this work, we also present the results of our own analysis of genetic and biochemical markers that we found to be associated with MS risk or progression in the group consisting of MS patients with clinically diagnosed MS and healthy individuals from the region of Central Slovakia. To evaluate the disease progression rate, we used the widely accepted multiple sclerosis severity score (MSSS, score range 0.01–9.99) [8] that considers the neurological impairment of the functional systems (expanded disability status scale score) [9] together with disease duration. For the purpose of the association analysis of these markers with the rate of disease disability progression, we stratified MS patients by MSSS scores to three groups—slowly progressing MS (MSSS < 3), mid-rate progressing MS (MSSS 3–6) and rapidly progressing MS (MSSS > 6) [10].
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\n
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2. Immune response-related genetic factors in the risk and progression of multiple sclerosis
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MS is a typical gender-dependent disease; a higher risk of MS is observed in women than in men in all populations and races. A study conducted in Canada found female to male ratio in individuals affected by MS to be 3:1 [11]. The risk of MS development in siblings of an affected individual is estimated to be 5%, in children 2%, in monozygotic twins 25% [5]. However, it has been shown that genetic predisposition is not strong enough to induce disease development, and appropriate environmental triggers are necessary to start the disease process [1, 12]. In general, the MS-associated genes can be classified into genes of the HLA-complex andnon-HLA genes [3].
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\n
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3. Gene polymorphisms and haplotypes in the aetiology of multiple sclerosis
\n
The single-nucleotide polymorphism (SNP) is a variation of a single nucleotide, which is present in the population in a frequency higher than 0.01. SNPs are the most common type of genetic variation and are usually caused by somatic or gametic mutations. Nucleotide change can cause the formation or loss of restriction sites for bacterial endonucleases that are able to cleave the specific DNA sequence. The identification of gene polymorphisms that are in correlation with other risk factors, including biochemical markers, can be useful in establishing the risk of MS development, prognosis, clinical course of the disease and response to therapy. Haplotype (haploid genotype) is a certain combination of alleles or SNPs in the sequence of the DNA, whichis localized on one chromosome and is inherited together. When two alleles are in linkage disequilibrium, they are inherited together in a higher frequency than expected randomly [13]. The combination of more alleles, known as tagging SNPs, enables us to identify the other associated alleles. For example, the allele A of gene polymorphism rs3135388 corresponds to the incidence of allele HLA-DRB1*1501, which is the most common genetic risk factor for MS development [14–16].
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4. HLA genes and MS
\n
Antigen expression that is inducible by cytokines is different on the various immune cells. Major histocompatibility complex II (MHCII) antigens are transmembrane proteins localized on the immune cells, thus having an important role in the process of exogenous antigen presentation to Tcells. MHCII molecules are coded by the gene of human leucocyte antigens D (HLA-D gene) that is localized on chromosome 6 and has three regions—HLA-DP, HLA-DQ and HLA-DR [17]. The susceptibility of the population to autoimmune diseases depends on the individual ability to express HLA-DQ and HLA-DR antigens. This expression can be induced by virus infection, most likely by EBV, influenza or paramyxovirus [18]. MHCII gene expression is regulated by vitamin D through its binding to the vitamin D–responsive elements(VDREs) that are localized in the promoter region of HLA-DRB1 gene. This fact can explain the interaction between vitamin D, that is an important factor modifying MS development and disease course, and genetic predisposition to MS represented mainly by a highly conservative allele HLA-DRB1*1501. HLA-DRB1*1501 allele is in general considered to be the most important susceptibility allele of MS [19–24]. This allelewas found to be present in over 50% of MS cases [25, 26]. The increased frequencies of the DRB1*15 allele in MS patients have been described in Northern Europeans [23, 27], South and North Americans [20, 28], Mediterraneans [29, 30] and African Americans [21]. In Spanish cohorts, the DRB1*03 was the second most frequent allele associated with MS, but only after eliminating HLA-DRB1*15 [29]. The DRB1*03 allele has also been found to be significantly associated with the increased risk of MS in Scandinavians [27], Sardinians [31], and Australians [32]. Fernández et al. [33] found that the DRB1*13 allele is protective against MS development in Spaniards. A protective effect of the alleles DRB1*01, DRB1*07, DRB1*12 and DRB1*14 was confirmed in the recent meta-analysis in Caucasians [24]. The allele DRB1*07 was found to be protective against MS also in Scandinavians [34]. The DRB1*13.03 allele was found to be the primary risk allele in MS patients of European descent [23]. The protective effect against MS has also been shown for the HLA-DRB1*11 allele [24, 29].
\n\n
The DQB1*06:02 allele was found to be linked to the increased risk of MS with a proved tight linkage disequilibrium between DRB1*15 and DQB1*06 in Caucasians [35]. As the risk factor of MS, DQB1*06:02 allele has also been identified in a cohort of Afro-Brazilians [36] and Spaniards [33]. Kaushansky et al. [37] suggested that the role of the DRB1*15:01 and DQB1*06:02 alleles in MS depends on the heterogeneous interaction of target antigen, genotype, and phenotype. On the contrary, Isobe et al. [38] found none of the HLA-DQB1 alleles to be associated with MS in African Americans. According to the combinations of HLA-alleles, the association of HLA-DRB1*15/*15 genotype with MS was identified by several studies [32, 34, 39]. In multi-case MS families, Barcellos et al. [39] identified a high risk DRB1*15/*08 genotype and protective DRB1*15/*14 genotype. The study of Sawcer et al. [23] indicates that in all populations of North-European ancestry, a predisposition to MS is linked with the DRB1*15:01-DQB1*06:02 haplotype. Furthermore, Link et al. [34] in a Scandinavian cohort showed that risk haplotypes for MS are almost all DRB1*15 bearing haplotypes, while protective effect against MS development are HLA class I A*02 allele-bearing haplotypes. In Sardinian MS patients, Cocco et al. [40] confirmed a positive association of the haplotype HLA DRB1*03:01-DQB1*02:01 with MS.
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In the study from our laboratory, we analysed the association of the HLA-DRB1/DQB1 genes, alleles and their combinations with susceptibility to MS in the population from central Slovakia. We found that the increased risk of MS is in individuals carrying alleles HLA-DRB1*15, DRB1*03 and DQB1*06, genotypes HLA-DRB1*15/*15 DQB1*06/*06 and haplotype DRB1*15-DQB1*06. In addition, we also found that HLA-DRB1/DQB1 class II alleles DRB1*07, DRB1*13, DQB1*03, genotypes DRB1*13/*11, DQB1*05/*03 and haplotypes DRB1*13-DQB1*06 and DRB1*11-DQB1*03 are associated with the protection against MS development. We cannot exclude that the proposed protective effects of the DRB1*11-DQB1*03 and DRB1*13-DQB1*06 haplotypes in our cohort could be, at least partially, due to the linkagedisequilibrium with alleles in the HLA class I region which is primarily associated with MS [41].
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5. Non-HLA genes and MS
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Gene products of non-HLA genes can contribute to the genetic risk of MS by modulation of different processes. These genes are involved in the regulation of functions of T- and Bcells, dendritic cells, NKcells, cytokine signalization, metabolism of interferons, vitamin D metabolism, neuronal regeneration and many others [3]. It has been found that these genes can contribute not only to the increased inherited risk of MS development but also to the risk of other autoimmune diseases [42, 43]. The examples of the SNPs involved in the etiopathogenesis of MS are summarised in Table 1.
IL7 is a type 1 short-chain cytokine of the haematopoietin family involved in the modulation of T- and B-cell development and T-cell homeostasis. To perform the immune system functions, IL7 binds to the transmembrane receptor that is formed by heterodimerisingthe common cytokine gamma chain and IL7 receptor alpha chain (IL7Ra or CD127). IL7Ra is a membrane glycoprotein folded to bind and mediate the action of IL7 and other alpha helical cytokines. IL7Ra consists of an extracellular domain, transmembrane region and cytoplasmic tail, which uses kinases for signal transduction [49]. The localization of the IL7Ra gene is chromosome 5p13.3. An increased expression of IL7Ra in peripheral blood mononuclear cells was found in MS patients when compared to controls [50, 51]. The IL7Ra and IL7 mRNA increased expression was found also in the cerebrospinal fluid of MS patients, possibly suggesting an altered balance between the isoforms of IL7Ra and a higher signal-inducing immune cell proliferation and survival [52]. According to the alternative splicing of exon 6 in IL7Ra gene, membrane-bound or soluble isoforms of IL-7Ra are produced [53]. A significantly increased ratio of the membrane-bound to soluble isoforms of IL7Ra in MS patients can facilitate the aberrant activation of potentially auto-reactive T cells [54].
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Single-nucleotide polymorphisms in IL7Ra gene are involved in the dysregulation of immune homeostasis and thus can be associated with susceptibility to MS [55]. A genome-wide study in a large group of subjects from the UK and USA identified the strong association between SNP rs6897932 in IL7Ra gene and the risk of MS [2]. The non-conservative aminoacid change on position 244 (Ile→Thr) ofIL7Ra is a result of the SNP rs6897932 (ATC → ACC) in exon 6 of IL7Ra gene [56]. This aminoacid change has a functional effect on the product of expression of alternative spliced IL7Ra gene, which is manifested by changes in the proportion of the soluble versus membrane-bound isoforms of IL7Ra. The change of this ratio can be followed by a different regulation of the IL7 signal transduction pathway and directly associates the SNP rs6897932 with MS [57].
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It has been found that allele C of SNP rs6897932 in IL7Ra gene contributes to the increased genetic risk of MS in groups of MS patients from the USA [57, 58], South Spain [59], Nordic countries—Denmark, Finland, Norway and Sweden [52], France [60], Netherlands [61] and Japan [62]. The homozygosity for C allele was identified as a risk genotype for MS susceptibility in Netherlands [61] and Spain [59]. A genotype association was also confirmed by the finding of increased counts of CC genotype of rs6897932 in MS patients compared to controls in the cohorts from the USA [58] and Japan [62]. Corresponding with the contribution of allele C to the risk of MS, the protective effect of allele T for MS risk in a Nordic case-control group has been reported by Lundmark et al. [52]. The protective effect of allele T has been reported also in Spain by Alcina et al. [59]. On the contrary, no association between SNP rs6897932 and MS was found in cohorts of MS patients from Northern Ireland [58], Germany [44] and Western Balkan countries—Serbia, Croatia and Slovenia [63].
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Only a few studies addressed the question whether the rs6897932 in IL7Ra gene contributes only to the genetic risk of MS, or whether it can also affect the disease course and disability progression [44, 57, 61, 64]. Groups of patients with different forms of MS were compared in several studies. In Northern European primary-progressive MS cases (PP MS), the underexpression of IL7Ra gene as well as different allele frequencies of IL7Ra promoter SNP was confirmed. Moreover, IL7Ra gene expression was found to be up-regulated in secondary-progressive MS (SP MS) patients [64]. In a study by Akkad et al. [44] in German MS patients, it was found that the soluble IL7Ra reduced the expression and allelic and genotypic association between rs6897932 and SP or PP MS but not with RR MS. In their study, a significantly higher frequency of allele C and genotype CC of rs6897932 in SP and PP MS patients was found, but not in RR MS patients compared to controls. The assessment of the severity of MS by MSSS did not show any association between rs6897932 genotype and disease severity in the USA [57]. Differences in allele frequencies in SP MS patients compared to healthy controls were reported in Dutch MS patients by Sombekke et al. [61]. In spite of that, no association between rs6897932 genotype and disease severity (MSSS, EDSS, other clinical tests) and disease activity (relapse rate and MRI markers) was found.
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Results of our own work suggest the relevance of rs6897932 allele and gene variants in MS pathogenesis in Slovaks [10]. Our results have revealed that allele C is present in a higher frequency in MS patients (77.4%) as compared to the control group (72.3%), which indicates an increased risk of MS development (OR=1.314, 95% CI=1.004–1.720, p=0.047). Interestingly, allele T was manifested in MS patients in a significantly lower frequency representing only 22.6% as compared to 27.7% in controls. This suggeststhat allele T seems to be protective against MS development (OR = 0.761, 95% CI= 0.582–0.996, p = 0.047). The additive model fitted the best to assess association between genotypes and MS risk. Logistic regression analysis adjusted for sex and age revealed that there is a significant associationbetween IL7Ra rs6897932 genotype and MS risk (OR = 0.764, 95% CI = 0.586–0.995, plog = 0.045). The genotype analysis showed that MS patients manifested a lower frequency of genotype CT when compared to controls (34.8% vs. 36.3) and genotype TT (5.2% vs. 9.9%) and a higher frequency of genotype CC (60.0% vs. 54.1%). When we used the additive genetic model, we found a significantly decreased risk of MS development in carriers of allele T with genotype CT (OR = 0.865, 95% CI = 0.609–1.228, p = 0.05) as well as with genotype TT (OR = 0.565, 95% CI = 0.282–1.132, p = 0.05).
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After stratification of MS patients according to the disease disability progression rate, we found a significantly lower frequency of allele T in the subgroup of rapidly progressing MS patients (18.1%) as compared to 27.7% in controls. These results suggest that allele T is associated with protection against rapid disability progression of MS (OR = 0.576, 95% CI = 0.348–0.955, p = 0.031). An additive genetic model adjusted for sex and age fitted the best to assess the association between genotypes and the rate of disease disability progression. Linear logistic regression with disease disability rate as the dependent variable—MSSS (1, 2, 3 and 0 for controls) revealed that there is a significant association between IL7Ra rs6897932 genotype and disability progression of MS (plog = 0.034). Genotype analysis showed that the frequency of genotype TT is higher in controls (9.6%) and lower in MS patients with rapid disability progression (3.5%). Frequency of genotype CC was higher in rapidly progressing MS patients (67.2%) and lower in controls (54.1%). The data suggest that individuals carrying genotype TT are protected against rapid disease disability progression of MS.
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We have shown for the first time in a Central European Slovak population that allele C of rs6897932 is associated with the risk of MS, and allele T has a protective additive effect against MS susceptibility. Moreover,we revealed that minor allele T and genotype TT of rs6897932 in the IL7Ra gene are protective against rapid disease disability progression in MS [65].
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7. Vitamin D and its role in risk and progression of multiple sclerosis
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In the past decades, much attention has been given to vitamin D and its role in MS and other autoimmune diseases. The following sectionsare dedicated to the metabolism and structure of vitamin D, its immunological effects, serum level and mechanisms of action of vitamin D in the prevention and treatment of MS. We also describe the genetic factors that can modulate the biological effects of vitamin D.
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7.1. The structure and metabolism of vitamin D
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Vitamin D in the human body undergoes a complex metabolism. Cholecalciferol (vitamin D3), as a precursor of a hormonally active form, is produced in the skin from 7-dehydrocholesterol after sunlight exposure and can also be absorbed from the diet. Subsequently, cholecalciferol is hydroxylated in the liver forming 25-hydroxycholecalciferol, calcidiol. The hormonally active form of vitamin D, 1,25- dihydroxycholecalciferol, calcitriol, is produced by further hydroxylation especially in the kidneys and also in other tissues. The enzyme catalysing this hydroxylation is 25-hydroxyvitamin D-1α-hydroxylase, coded by CYP27B1 (cytochrome P450 family 27 subfamily B member 1) gene [66, 67]. In various cells, the bioactive form of vitamin D binds to the vitamin D receptor (VDR) providing its physiological functions by modulation of the target gene’s transcription [68]. The circulating serum level of vitamin D depends not only on environmental factors such as exposition to sunlight and vitamin D intake but also on genetic and epigenetic factors.The genetic factors can influence the effects of vitamin D through the variability of the genes participating in its activation and degradation, transport and receptor signalling [69].
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7.2. The effect of vitamin D on the functions of immune cells
\n
There is growing evidence that vitamin D not only regulates bone metabolism but also has large-scale immunomodulatory and anti-inflammatory effects. A linkage has been found between vitamin D deficiency and increased risk of autoimmune diseases [70]. The immunocompetent cells—macrophages, dendritic cells, Tcells and Bcells are able to produce calcitriol and express the VDR at the high rate. Through this, vitamin D modulates the synthesis of various cytokines and immunoglobulins and is involved in the regulation of innate and adaptive immune response. Autocrine and paracrine effects of vitamin D depend also on its serum level, and individuals with hypovitaminosis D are in a state of immune system dysfunction and are predisposed to the development of autoimmune diseases [71].
\n
In Tcells, calcitriol inhibits the production of IL-12 and IFN-γ and subsequent differentiation of TH1 lymphocytes that are the key cells involved in the MS development. Calcitriol improves the immunosuppressive functions of TREGcells and ameliorates the TH2-cell development by the activation of the promotor region of IL-4 gene [19, 72]. Vitamin D increases the expression of IL-4, IL-5 and IL-10 that are able to activate TH2 cells, decreases the production of IFN-γ, blocks the formation of TH1cells after antigen stimulation and has positive effects on the TH1-mediated autoimmune diseases [73, 74]. Bcells, which also participate in the demyelinating process and produce intrathecalimmunoglobulins, express VDR and vitamin D hydroxylases. In Bcells, calcitriol reduces the intracellular signal pathways of nuclear transcription factor NF-kappa B (NF-kB) and CD40 signalling [75]. Calcitriol inhibits the maturation and proliferation of Bcells, induces apoptosis of Bcells, inhibits the differentiation of plasma and memory cells and decreases the production of immunoglobulinsIgG and IgM [76]. Immature Bcells are more prone to regulation by calcitriol when compared to plasma cells. Calcitriol also decreases the expression of MHCII molecules and co-stimulatory molecules in Bcells [19].
\n
Calcitriol formed in macrophages inhibits the immune response by suppressing proliferation of TH1- and TH17cells and promoting the functions of TH2- and TREGcells [71]. Calcitriol inhibits the secretion of IL-12 by antigen-presenting cells and monocytes [77]. Vitamin D blocks the differentiation of immature dendritic cells and the expression of co-stimulatory molecules CD40, CD80, CD86 and MHC II, thus decreasing the capacity of dendritic cells to activate autoreactive Tcells. Vitamin D also ameliorates the spontaneous apoptosis of mature dendritic cells [73]. In macrophages, calcitriolsuppresses intracellular oxidative burst and listericidal activity. It also suppresses the expression of Fc and TLR receptors induced by IFN-γ that are important for antigen recognition [78]. Vitamin D suppresses the proliferation of antigen-specific Tcells and chemotaxisof dendritic cells by decreasing the expression of differentiation antigens CD80, CD86 and HLA-DR molecules [79].
\n
\n
\n
7.3. The murine model of MS and vitamin D
\n
In mice that lack the VDR gene or the gene of the enzyme catalysing vitamin D activation, an abnormal development and function of TH1-lymphocytes and deficiency of peripheral T-lymphocytes have been observed [80, 81]. Calcitriol treatment can prevent the induction and progression of autoimmune diseases including experimental autoimmune encephalomyelitis (EAE), a murine model of MS [82, 83]. Calcitriol can also decrease the severity of EAE symptoms, and its deficiency causes an increased susceptibility of animals to EAE induction [77, 82]. In mice with chronic EAE, vitamin D administration suppresses the proliferation of specific TH1 cells, inhibits IL-12 dependent production of IFN-γ, prevents relapses and reduces perivascular infiltration, demyelination plaque formation and axonal degeneration in the brain and spinal cord [84].
\n
\n
\n
7.4. Serum level of vitamin D and dose management
\n
To reflect vitamin D status in the human body, calcidiol plasma level measurement is usually used. Calcidiol is the main circulating form of vitamin D in plasma, and its biological half-time is 19 days [85]. The recommended daily dose of vitamin D is approximately 10times higher than in the past. The optimal serum level of vitamin D is 75–250 nmol/l (30–100 ng/ml). In countries with less sunny climate, the necessary daily dose of vitamin D is 1000–4000 IU/day (1 μg = 40 IU) [86].
\n
The risk of vitamin D overdosing is hypercalcaemia and subsequent organ and tissue damage. Whole body exposure to sunlight results in the production of around 10,000 IU of vitamin D, so it is not simple to cause vitamin D intoxication by its short-term peroral supplementation. The results of several studies suggest that even high-dose vitamin D3 supplementation in MS patients is safe and clinically useful. Burton et al. [87] administered high peroral doses of vitamin D to healthy individuals and MS patients. The initial dose was 40,000 IU/dayduring 28 weeks, followed by 10,000 IU/day during 12 weeks; later it was gradually decreased to 0 IU/day, combined with 1.2 grams of calcium per day. During the period of 40,000 IU of vitamin D per day, the serum levels reached 413 nmol/l, which was higher than the conventional limit established for vitamin D toxicity (250 nmol/l). Calcidiol serum levels remained around this limit for 18 weeks without any observed negative effects. The serum level of calcium was in the physiological reference range during the whole study duration. Moreover, no cardiac rhythm abnormalities or impairment of hepatic or renal functions was observed. Kimball et al. [88] administered 4000–40,000 IU/day to patients in the active phase of MS together with 1.2 grams of calcium. Medium serum level of calcidiol was 78 ± 35 nmol/l and rose to 386 ± 157 nmol/l. Serum calcium level and urinary calcium to creatinine ratio did not exceed the physiological reference values. Vitamin D supplementation in this study did not cause any change in the serum level of hepatic enzymes, creatinine, electrolytes, proteins and parathormone. Although the serum level of calcidiol doubled the physiological upper range value, hypercalcaemia or hypercalciuria was not observed.
\n
Although the significant toxicity of vitamin D3 was not observed even in doses of 40,000 IU/day, its daily dose in healthy individuals should not exceed 2000 IU. The optimal daily dose of vitamin D3 that should be routinely recommended to women during pregnancy and lactation is 1000 IU. Children born in families with MS history should be administered daily 200–400 IU of vitamin D3 [66].
\n
\n
\n
7.5. Vitamin D and the course, prevention and treatment of MS
\n
The role of vitamin D in the prevention of MS development has been confirmed by many experimental, epidemiological, genetic and immunological studies. Vitamin D insufficiency during the whitematter development can alter the pathways of axonal differentiation and adhesion and increase the apoptosis of oligodendrocytes that express VDR. This results in local microenvironmental changes and altered regeneratory and remyelinating capacity [66]. In individuals with an increased genetic risk of MS, it is possible to prevent the demyelination process by preventive vitamin D administration. This preventive strategy would be better than reparation of already developed myelin and axonal damage [12, 66].
\n
High-dose peroral vitamin D intake has been found to be inversely associated with the risk of MS in a cohort of more than 90,000 women. Peroral vitamin D supplementation in a dose higher than 400 IU/day leads to the reduction of MS risk when compared to the individuals with no vitamin D intake (RR = 0.59, 95% CI = 0.38–0.91,p = 0.006) [89]. Also,calcidiol plasma levels are inversely correlated with MS risk. This association is particularly obvious in whites, while among blacks and Hispanics with lower 25-hydroxyvitamin D levels than whites, there was no significant association between vitamin D and MS risk [90]. Vitamin D also has reparative effects for the nervous tissue, especially in patients in the early phases of the disease. In countries with low sun exposure, food supplementation of vitamin D could be a simple and cheap method of MS prevention [86]. The incidence of MS could be reduced by the administration of vitamin D to pregnant women, and all children living in mild climates should be more exposed to sunlight and should be on a vitamin D–rich diet [66].
\n
Vitamin D is not only a factor modifying MS risk, but it can also have a role in the modulation of disease course. It has been observed that in relapsing remitting MS, calcidiol plasma levels are lower during relapses compared to the periods of remission [91]. In addition, there is evidence that lower calcidiol levels are associated with higher relapse rates and higher risk of exacerbation, as well as higher expanded disability status scale (EDSS) scores and progressive forms of MS [92–94]. Vitamin D can improve memory and cognitive impairments in patients with MS, Alzheimer disease and in patients after chemotherapeutical treatment [95]. High-dose peroral vitamin D supplementation has immunomodulatory effects and leads to reduction in the number of relapses and suppression of the inflammatory activity and proliferation of Tcells [87], as well as the decrease in the number of gadolinium-enhancing lesions in brain [88].
\n
In our study, we examined the serum levels of calcidiol in a group of MS patients from the Central-Northern part of Slovakia. We found that hypovitaminosis D is more frequent in MS patients, when compared to healthy individuals. Serum levels of calcidiol were significantly lower in MS patients when compared to controls (15.0 ± 6.1 ng/ml vs. 18.2 ± 8.3 ng/ml, p(K−W)= 0.001). Moreover, we found that there is an association of the serum level of vitamin D with the rate of MS disability progression (p(K−W) = 0.000). We detected similar serum levels of calcidiol in slow progressing and mid-rate progressing MS patients (15.7 ± 5.0 ng/ml vs. 15.8 ± 6.6 ng/ml), but interestingly we noticed a marked decrease of calcidiol serum levels in rapidly progressing MS patients (12.8 ± 5.9 ng/ml). In addition, calcidiol levelwas significantly lower in all subgroups of MS patients when compared to controls (18.2 ± 8.3 ng/ml). Thus we can conclude that decreased serum level of calcidiol in MS patients can be one of the factors related to increased risk of MS development, as well as increased risk of rapid disease disability progression.
\n
\n
\n
7.6. Genetic factors related to vitamin D effects in MS
\n
Nucleotide exchange in DNA sequence can cause the production of protein products with different activities. Polymorphisms of the genes involved in the activation, transport, signalling and degradation of vitamin D can, together with other factors, modify the individual immune response and thus can be related to MS. Because of the beneficial effects of vitamin D, in individuals with genes predisposing to its higher serum levels, the risk of MS should be reduced [96]. The serum level of vitamin D can be modified by VDR gene polymorphisms [97–99]. The fact that serum levels of vitamin D are similar in twins, and especially when they are monozygotic twins, speaks in favour of a genetic regulation. Gene polymorphisms FokI in VDR gene, rs4646536 and rs703842 in the CYP27B1 gene and rs10741657 in the CYP2R1 gene are the significant predictors of caldiciol serum level [99]. Hypovitaminosis D is common in higher latitudes because of the lack of sun exposure [100]. The fact that not all vitamin D–deficient individuals develop MS is probably the result of the complexity of the etiopathogeneis of MS and the interaction of many factors. The positive effects of vitamin D in MS can be dampened for example by the allele HLA-DRB1*15 [96]. In MS patients, it is necessary to find out the link between the genotype and the vitamin D serum level and also the genetic interactions among the genes CYP27B1, VDR and HLA [19]. The gene polymorphisms associated with vitamin D metabolism are summarized in Table 2.
\n
\n
\n
\n
\n
\n
\n\n
\n
Gene
\n
function
\n
Localization
\n
SNP
\n
Allele
\n
\n\n\n
\n
CYP27B1 (cytochrome P450 family 27 subfamily B member 1, 25-hydroxyvitamin D3 1-alpha-hydroxylase)
\n
Hydroxylation
\n
12q13
\n
rs703842
\n
C/T
\n
\n
\n
rs10877012
\n
G/C
\n
\n
\n
rs4646536
\n
C/T
\n
\n
\n
rs10877015
\n
A/G
\n
\n
\n
rs118204009
\n
A/G
\n
\n
\n
rs118204012
\n
A/G
\n
\n
\n
rs118204011
\n
C/T
\n
\n
\n
CYP2R1 (cytochrome P450 family 2 subfamily R member 1, vitamin D325-hydroxylase)
\n
Hydroxylation
\n
11p15
\n
rs10741657
\n
A/G
\n
\n
\n
rs10500804
\n
G/T
\n
\n
\n
rs12794714
\n
A/G
\n
\n
\n
DBP (vitamin D binding protein)
\n
Transport in plasma
\n
4q12
\n
rs7041
\n
G/T
\n
\n
\n
rs4588
\n
A/C
\n
\n
\n
VDR (vitamin D receptor)
\n
Receptor
\n
12q13
\n
rs1544410 (BsmI)
\n
A/G (B/b)
\n
\n
\n
rs7975232 (ApaI)
\n
T/C (A/a)
\n
\n
\n
rs731236 (TaqI)
\n
T/C (T/t)
\n
\n
\n
rs10735810 (FokI)
\n
C/T (F/f)
\n
\n
\n
rs11568820 (Cdx2)
\n
G/A
\n
\n
\n
rs2254210
\n
A/G
\n
\n
\n
rs98784
\n
C/T
\n
\n
\n
CYP24A1 (cytochrome P450 family 24 subfamily A polypeptide, vitamin D 24-hydroxylase)
\n
Deactivation
\n
20q13
\n
rs2296241
\n
A/G
\n
\n\n
Table 2.
The gene polymorphisms associated with vitamin D metabolism [19, 98, 99, 101].
\n
\n
7.6.1. Genetic variants in vitamin D receptor gene in MS
\n
According to the effects of vitamin D in MS, the molecular mechanisms of vitamin D function should be considered. As mentioned earlier, vitamin D executes its physiological effect via binding and activation of VDR. Interestingly, the activation of VDR by calcitriol can suppress the induction of EAE, while animals that lack VDR are not protected against EAE [102]. The gene for VDR is located on the 12q13 chromosomal region and consists of 11 exons. Non-coding exons 1A, 1B and 1C are located in the 5′ end of the VDR gene, and exons 2–9 encode the structural portion of the VDR protein [103]. VDR sequence is similar to that of the receptors for steroid hormones and hormones of the thyroid gland. VDR is a regulatory transcription factor and consists of highly conservative DNA-binding and ligand-binding domains. The signal pathways associated with the VDR regulate the transcription of genes involved in the regulation of bone metabolism, immune response and cancer [83]. The polymorphisms in the initiation codon of the VDR gene can cause the formation of transcription variants coding different proteins [104]. In the VDR gene, SNPs ApaI (rs7975232), BsmI (rs1544410), FokI (rs10735810) and TaqI (rs731236) have functional biological effects and are mostly studied in MS as well as in other diseases. These gene polymorphisms can alter mRNA level, its stability and alternative splicingand also the stability of the final gene product, amount of protein isoforms and their interactions [105]. FokI gene polymorphism is located in exon 2 of the VDR gene, and its variants result in a change of protein structure. There are two possible allele variants, f (presence of a restriction site for FokI endonuclease) and F (absence of a restriction site for FokI endonuclease). It has been confirmed that the f (T) allele leads to the expression of a VDR protein, which is three amino acids longer (427 amino acids) than the F (C) allele (424 amino acids). The shorter isoform of the receptor is more transcriptionally potent through a more efficient interaction with transcription factor TFIIB [105, 106]. Near the 3′ end of the VDR gene, we can find the ApaI and BsmI polymorphism in the intron between exon 8 and 9 and TaqI gene polymorphism in exon 9 [107]. The allele variants of these gene polymorphisms and their combinations regulate the functions of VDR through the modulation of mRNA stability. In Caucasians, TaqI, ApaI and BsmI polymorphisms are in strong linkage disequilibrium and are present in five haplotype blocks. Haplotype2 (t-A-B) probably results in a lower number of \'A\' in polyA variable number of tandem repeats (VNTR), while haplotype 1 (T-A-b) is connected to a large number of \'A\', thus modulating mRNA stability [106]. Morrison et al. [108] found that allele b (G) of the BsmI polymorphism causes a decreased expression of VDR mRNA.
\n
Interestingly, several studies have found an association between VDR gene polymorphisms and the risk of MS. Differences in allele frequency of the BsmI polymorphism in the VDR gene were found in Japan by Fukazawa et al. [109], who for the first time pointed out the involvement of VDR gene polymorphisms in the pathogenesis of MS. The association of VDR gene polymorphisms with MS has been confirmed in cohorts of MS patients from Japan [110], theUK [111, 112], Australia [107] and the USA [98]. On the contrary, no association of VDR gene polymorphisms with the risk of MS was found by studies in MS patients from Canada [113], Netherlands [114], Greece [115], Spain [116, 117], Tasmania [118] and Iran [119]. The presence of specific haplotypes of the VDR gene can increase the risk of MS development, especially its progressive forms. Tajouri et al. [107] in Australia found haplotype A-t (T-C) of ApaI and TaqI polymorphism to increase the risk of MS development, especially its progressive forms. The carriership of allele t (C) in their study increased MS risk twice. Fukazawa et al. [109] found allele b (G) and genotype bb (GG) of BsmI polymorphism to increase MS risk, but without any association with the form and severity of MS (EDSS, magnetic resonance imaging (MRI)). Allele b (G) of BsmI polymorphism of VDR has been found to be associated with MS risk in combination with allele A (T) of ApaI polymorphism by Niino et al. [110]. However, in their study, they did not find any association of ApaI gene polymorphism with clinical form and severity of MS evaluated by the EDSS score, disease duration and MRI findings. Agliardi et al. [120] in Italy found that allele T (T) and genotype TT (TT) are protective against MS development, supported by the finding that the expression of VDR mRNA is increased four times by genotype Tt (TC) and eight times by genotype TT (TT) when compared to genotype tt (CC). The observed effect is present especially when the protective allele Tis present in the combination with HLA-DRB1*15 allele.
\n
The role of VDR gene polymorphisms is still not completely understood, and it seems to vary among different populations. For proper cell signalling to decrease the risk of MS, it is probably necessary to reach a certain level of the transcriptional activity of VDR that is also modified genetically. For proper immunoregulation, the individuals that have the genotype causing the decreased VDR protein activity can need a higher peroral vitamin D intake or higher level of sun exposure. Contrarily, in individuals with higher transcriptional activity of VDR, a lower sun exposure or vitamin D intake can be sufficient for proper immune system regulation.
\n
The findings of our previous study in MS patients from the Central-Northern region of Slovakia have confirmed the association of FokI heterozygous genotype Ff with an increased risk of MS in women [10]. Although we found no statistically significant differences in the proportions of FokI genotypes or allele frequencies between total MS patient and the control group, we have observed significant differences in the FokI genotype distribution between women with MS and the female control group (p = 0.042). Our results have shown a significantly higher frequency of heterozygous Ff genotypes in FokI polymorphism in the female MS group (53.4%) as compared to 43.7% in the female control group (OR = 1.48, 95% CI = 1.01–2.16). In spite of this fact, when we compared the subgroup of rapidly progressing MS patients with the subgroup of slow progressing MS patients, allele and genotype counts were not significantly different between them (allele f: 34.5 vs. 43.3%, allele F: 65.5 vs. 56.7%, genotype ff: 10.3 vs. 13.4%, genotype Ff: 48.3 vs. 59.8%). Since we have not shown any significant association between FokI VDR gene polymorphism and the rate of disease disability progression in our cohort of Slovak MS patients, we observed a trend of higher frequency of homozygotes FF to be 41.4% in MS patients with rapid progression of disease as compared to 26.8% in slow progressing MS patients (OR = 1.93, 95% CI=0.94–3.94) with a marginal level of significance (p = 0.071). From the results of our study, it seems that contributions from genetic and allelic variants of FokI VDR gene polymorphism have only a small impact in a disease as complex as MS, andits role in the etiopathogenesis of MS still remains controversial.
\n\n
\n
\n
\n
\n
8. Conclusions
\n
In summary, we can conclude that many genetic and biochemical factors can be involved in the etiopathogenesis of MS. These markers could be used to evaluate the risk of MS development and the risk of rapid disease disability progression.
\n
The proposed markers that have been found to be associated with MS risk or disability progression in Central European Slovak population are summarized in Table 3. In our studies, we identified decreased serum level of vitamin D, allele C and genotype CC of polymorphism rs6897932 in the IL7Ra gene, genotype Ff of rs10735810 in the VDR gene (only in women); HLA-alleles DRB1*15, DRB1*03, DQB1*06; HLA-genotypes DRB1*15/*15, DQB1*06/*06 and HLA-haplotype DRB1*15-DQB1*06 as the main risk factors for MS development. On the contrary, allele T of rs6897932 in the IL7Ra gene (in individuals with genotype CT and TT); HLA-alleles DRB1*07, DRB1*13, DQB1*03; HLA-genotypes DRB1*13/*11, DQB1*05/*03 and HLA-haplotypes DRB1*13-DQB1*06 and DRB1*11-DQB1*03 displayed a protective effect against MS development. Genotype CC of rs6897932 in the IL7Ra gene and decreased serum level of vitamin D were identified as negative prognostic factors for rapid disability progression in MS, while minor allele T of rs6897932 in the IL7Ra gene (especially in individuals with TT genotype) was identified as a protective factor disability progression.
The proposed markers associated with the MS risk or disability progression in Slovaks [10, 41, 65].
\n
From the results of our study, we conclude that rs6897932 of the IL7Ragene, rs10735810 in the VDR gene, HLA-DR and DQ genotypes, as well as serum level of vitamin D may be the important markers that could be used as part of a panel of markers to evaluate the risk of MS development and disability progression. The relevance of these markers identified in our study should be verified in larger groups of individuals not only in Slovakia but also in other different populations. The relevant positive or negative prognostic genetic or biochemical markers can improve the diagnostic and therapeutic procedure and can help to minimize neurological damage in predisposed individuals.
\n
\n
Acknowledgments
\n
The work was supported by the projects \'“Centre for Translational Medicine\' code: 6220220021, \'Identification of Novel Markers in Diagnostic Panel of Neurological Diseases\' code: 26220220114, \'Martin Biomedical Center (BioMed Martin)\' ITMS code: 26220220187 co-financed from EU sources and European Regional Development Fund and the grant of Ministry of Health, 2012/30-UKMA-7 and APVV No. 15/0107.
\n
\n',keywords:"multiple sclerosis, risk, disability progression, gene polymorphism, biochemical marker",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/50808.pdf",chapterXML:"https://mts.intechopen.com/source/xml/50808.xml",downloadPdfUrl:"/chapter/pdf-download/50808",previewPdfUrl:"/chapter/pdf-preview/50808",totalDownloads:1545,totalViews:238,totalCrossrefCites:1,totalDimensionsCites:1,totalAltmetricsMentions:0,impactScore:1,impactScorePercentile:59,impactScoreQuartile:3,hasAltmetrics:0,dateSubmitted:"October 15th 2015",dateReviewed:"April 5th 2016",datePrePublished:null,datePublished:"September 8th 2016",dateFinished:"May 25th 2016",readingETA:"0",abstract:"Sclerosis multiplex (multiple sclerosis, MS) is a chronic autoimmune inflammatory disease of the central nervous system. The immune regulatory defects lead to the process of inflammation and neurodegenerationthat results in the deterioration of neurological functions. It is still unclear as to why MS is so devastating and rapidly progressive in one patient and less so in another. It is known that the etiopathogenesis of MS is very complex, and many factors can be involved in the risk and character of the disease and its progression. In this chapter, we discuss the general molecular and cellular mechanisms of action of genetic and biochemical factors that are related to immune system regulation and thus can be connected to the individually varying risk and disability progression of MS. We found that gene variants of the gene polymorphism rs6897932 in interleukin 7 receptor α chain gene rs10735810 in vitamin D receptor gene and HLA-DR and HLA-DQ genes as well as the serum level of vitamin D are associated with MS risk or disability progression in Central European Slovak population.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/50808",risUrl:"/chapter/ris/50808",book:{id:"5156",slug:"trending-topics-in-multiple-sclerosis"},signatures:"Daniel Čierny, Jozef Michalik, Ema Kantorová, Egon Kurča and Ján\nLehotský",authors:[{id:"90214",title:"Prof.",name:"Ján",middleName:null,surname:"Lehotský",fullName:"Ján Lehotský",slug:"jan-lehotsky",email:"lehotsky@jfmed.uniba.sk",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Comenius University",institutionURL:null,country:{name:"Slovakia"}}},{id:"179418",title:"Dr.",name:"Daniel",middleName:null,surname:"Cierny",fullName:"Daniel Cierny",slug:"daniel-cierny",email:"dacierny@gmail.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"184882",title:"Prof.",name:"Egon",middleName:null,surname:"Kurča",fullName:"Egon Kurča",slug:"egon-kurca",email:"kurca@jfmed.uniba.sk",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"184883",title:"Dr.",name:"Jozef",middleName:null,surname:"Michalik",fullName:"Jozef Michalik",slug:"jozef-michalik",email:"jozefmichalik99@gmail.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Immune response-related genetic factors in the risk and progression of multiple sclerosis",level:"1"},{id:"sec_3",title:"3. Gene polymorphisms and haplotypes in the aetiology of multiple sclerosis",level:"1"},{id:"sec_4",title:"4. HLA genes and MS",level:"1"},{id:"sec_5",title:"5. Non-HLA genes and MS",level:"1"},{id:"sec_6",title:"6. Genetic variants in interleukin 7 receptor α chain (IL-7Ra) gene",level:"1"},{id:"sec_7",title:"7. Vitamin D and its role in risk and progression of multiple sclerosis",level:"1"},{id:"sec_7_2",title:"7.1. The structure and metabolism of vitamin D",level:"2"},{id:"sec_8_2",title:"7.2. The effect of vitamin D on the functions of immune cells",level:"2"},{id:"sec_9_2",title:"7.3. The murine model of MS and vitamin D",level:"2"},{id:"sec_10_2",title:"7.4. Serum level of vitamin D and dose management",level:"2"},{id:"sec_11_2",title:"7.5. Vitamin D and the course, prevention and treatment of MS",level:"2"},{id:"sec_12_2",title:"7.6. Genetic factors related to vitamin D effects in MS",level:"2"},{id:"sec_12_3",title:"7.6.1. Genetic variants in vitamin D receptor gene in MS",level:"3"},{id:"sec_15",title:"8. Conclusions",level:"1"},{id:"sec_16",title:"Acknowledgments",level:"1"}],chapterReferences:[{id:"B1",body:'Kakalacheva K, Lünemann JD. Environmental triggers of multiple sclerosis. FEBS Lett. 2011; 585(23):3724–9. doi: 10.1016/j.febslet.2011.04.006'},{id:"B2",body:'International Multiple Sclerosis Genetics Consortium, Hafler DA, Compston A, Sawcer S, Lander ES, Daly MJ, De Jager PL, de Bakker PI, Gabriel SB, Mirel DB, Ivinson AJ, Pericak-Vance MA, Gregory SG, Rioux JD, McCauley JL, Haines JL, Barcellos LF, Cree B, Oksenberg JR, Hauser SL. Risk alleles for multiple sclerosis identified by a genomewide study. N Engl J Med. 2007;357(9):851-62. PMID: 17660530'},{id:"B3",body:'Nischwitz S, Müller-Myhsok B, Weber F. 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J Neurol. 2011; 258(9):1676–82. doi: 10.1007/s00415-011-6001-5'},{id:"B97",body:'Smolders J, Damoiseaux J, Menheere P, Tervaert JW, Hupperts R. Fok-I vitamin D receptor gene polymorphism (rs10735810) and vitamin D metabolism in multiple sclerosis. J Neuroimmunol. 2009; 207(1–2):117–21. doi: 10.1016/j.jneuroim.2008.12.011'},{id:"B98",body:'Simon KC, Munger KL, Xing Yang, Ascherio A. Polymorphisms in vitamin D metabolism related genes and risk of multiple sclerosis. MultScler. 2010; 16(2):133–8. doi: 10.1177/1352458509355069'},{id:"B99",body:'Orton SM, Morris AP, Herrera BM, Ramagopalan SV, Lincoln MR, Chao MJ, Vieth R, Sadovnick AD, Ebers GC. Evidence for genetic regulation of vitamin D status in twins with multiple sclerosis.Am J ClinNutr. 2008; 88(2):441–7. PMID: 18689381'},{id:"B100",body:'Holick MF, Chen TC. Vitamin D deficiency: a worldwide problem with health consequences. Am J ClinNutr. 2008; 87(4):1080S–6S. PMID: 18400738'},{id:"B101",body:'Ramagopalan SV, Dyment DA, Cader MZ, Morrison KM, Disanto G, Morahan JM, Berlanga-Taylor AJ, Handel A, De Luca GC, Sadovnick AD, Lepage P, Montpetit A, Ebers GC. Rare variants in the CYP27B1 gene are associated with multiple sclerosis. Ann Neurol. 2011; 70(6):881–6. doi: 10.1002/ana.22678'},{id:"B102",body:'Meehan TF, DeLuca HF. The vitamin D receptor is necessary for 1alpha,25-dihydroxyvitamin D(3) to suppress experimental autoimmune encephalomyelitis in mice. Arch BiochemBiophys. 2002; 408(2):200–4. PMID: 12464272'},{id:"B103",body:'Miyamoto K, Kesterson RA, Yamamoto H, Taketani Y, Nishiwaki E, Tatsumi S, Inoue Y, Morita K, Takeda E, Pike JW. Structural organization of the human vitamin D receptor chromosomal gene and its promoter.MolEndocrinol. 1997; 11(8):1165–79. PMID: 9212063'},{id:"B104",body:'Wang TT, Tavera-Mendoza LE, Laperriere D, Libby E, MacLeod NB, Nagai Y, Bourdeau V, Konstorum A, Lallemant B, Zhang R, Mader S, White JH. Large-scale in silico and microarray-based identification of direct 1,25-dihydroxyvitamin D3 target genes. MolEndocrinol. 2005; 19(11):2685–95. PMID: 16002434'},{id:"B105",body:'Uitterlinden AG, Fang Y, Van Meurs JB, Pols HA, Van Leeuwen JP. Genetics and biology of vitamin D receptor polymorphisms. Gene. 2004; 338(2):143–56. PMID: 15315818'},{id:"B106",body:'Jurutka PW, Remus LS, Whitfield GK, Thompson PD, Hsieh JC, Zitzer H, Tavakkoli P, Galligan MA, Dang HT, Haussler CA, Haussler MR. The polymorphic N terminus in human vitamin D receptor isoforms influences transcriptional activity by modulating interaction with transcription factor IIB. MolEndocrinol. 2000; 14(3):401–20. PMID: 10707958'},{id:"B107",body:'Tajouri L, Ovcaric M, Curtain R, Johnson MP, Griffiths LR, Csurhes P, Pender MP, Lea RA. Variation in the vitamin D receptor gene is associated with multiple sclerosis in an Australian population. J Neurogenet. 2005; 19(1):25–38. PMID: 16076630'},{id:"B108",body:'Morrison NA, Qi JC, Tokita A, Kelly PJ, Crofts L, Nguyen TV, Sambrook PN, Eisman JA. Prediction of bone density from vitamin D receptor alleles.Nature. 1994; 367(6460):284–7. PMID: 8161378'},{id:"B109",body:'Fukazawa T, Yabe I, Kikuchi S, Sasaki H, Hamada T, Miyasaka K, Tashiro K. Association of vitamin D receptor gene polymorphism with multiple sclerosis in Japanese. J Neurol Sci. 1999; 166(1):47–52. PMID: 10465499'},{id:"B110",body:'Niino M, Fukazawa T, Yabe I, Kikuchi S, Sasaki H, Tashiro K. Vitamin D receptor gene polymorphism in multiple sclerosis and the association with HLA class II alleles. J Neurol Sci. 2000; 177(1):65–71. PMID: 10967184'},{id:"B111",body:'Partridge JM, Weatherby SJ, Woolmore JA, Highland DJ, Fryer AA, Mann CL, Boggild MD, Ollier WE, Strange RC, Hawkins CP. Susceptibility and outcome in MS: associations with polymorphisms in pigmentation-related genes. Neurology. 2004; 62(12):2323–5. PMID: 15210908'},{id:"B112",body:'Cox MB, Ban M, Bowden NA, Baker A, Scott RJ, Lechner-Scott J. Potential association of vitamin D receptor polymorphism Taq1 with multiple sclerosis. MultScler. 2012; 18(1):16–22. doi: 10.1177/1352458511415562'},{id:"B113",body:'Steckley JL, Dyment DA, Sadovnick AD, Risch N, Hayes C, Ebers GC. Genetic analysis of vitamin D related genes in Canadian multiple sclerosis patients. Canadian Collaborative Study Group.Neurology. 2000; 54(3):729–32. PMID: 10680811'},{id:"B114",body:'Smolders J, Damoiseaux J, Menheere P, Tervaert JW, Hupperts R. Association study on two vitamin D receptor gene polymorphisms and vitamin D metabolites in multiple sclerosis. Ann N Y Acad Sci. 2009; 1173:515–20. doi: 10.1111/j.1749-6632.2009.04656.x'},{id:"B115",body:'Sioka C, Papakonstantinou S, Markoula S, Gkartziou F, Georgiou A, Georgiou I, Pelidou SH, Kyritsis AP, Fotopoulos A.Vitamin D receptor gene polymorphisms in multiple sclerosis patients in northwest Greece. J Negat Results Biomed.2011; 10:3.doi: 10.1186/1477-5751-10-3'},{id:"B116",body:'Irizar H, Muñoz-Culla M, Zuriarrain O, Goyenechea E, Castillo-Triviño T, Prada A, Saenz-Cuesta M, De Juan D, Lopez de Munain A, Olascoaga J, Otaegui D. HLA-DRB1*15:01 and multiple sclerosis: a female association? MultScler. 2012; 18(5):569–77. doi: 10.1177/1352458511426813'},{id:"B117",body:'García-Martín E, Agúndez J. A. G., Martínez C, Benito-León J, Millán-Pascual J, Calleja P, Díaz-Sánchez M, Pisa D, Turpín-Fenoll L, Alonso-Navarro H, Ayuso-Peralta L, Torrecillas D, Plaza-Nieto JF, Jiménez-Jiménez FJ. Vitamin D3 Receptor (VDR) Gene rs2228570 (Fok1) and rs731236 (Taq1) variants are not associated with the risk for multiple sclerosis: results of a new study and a meta-analysis. PLoS One. 2013; 8(6): e65487. doi: 10.1371/journal.pone.0065487'},{id:"B118",body:'Dickinson JL, Perera DI, van der Mei AF, Ponsonby AL, Polanowski AM, Thomson RJ, Taylor BV, McKay JD, Stankovich J, Dwyer T. Past environmental sun exposure and risk of multiple sclerosis: a role for the Cdx-2 vitamin D receptor variant in this interaction. MultScler. 2009; 5(5):563–70. doi: 10.1177/1352458509102459'},{id:"B119",body:'Niksresht AR, Dadkhah B, KamaliSarverstani E. The association of vitamin D receptor gene BsmIpolymorphism with multiple sclerosis in Iranian patients.J Kerman Univ MedSci Health Serv. 2009; 16(2):116–23. doi: http://jkmu.kmu.ac.ir/en/index.php/kmus/article/view/245'},{id:"B120",body:'Agliardi C, Guerini FR, Saresella M, Caputo D, Leone MA, Zanzottera M, Bolognesi E, Marventano I, Barizzone N, Fasano ME, Al-Daghri N, Clerici M. Vitamin D receptor (VDR) gene SNPs influence VDR expression and modulate protection from multiple sclerosis in HLA-DRB1*15-positive individuals. Brain Behav Immun. 2011; 25(7):1460–7. doi: 10.1016/j.bbi.2011.05.015'}],footnotes:[],contributors:[{corresp:null,contributorFullName:"Daniel Čierny",address:null,affiliation:'
Department of Clinical Biochemistry, Jessenius Faculty of Medicine and University Hospital Martin, Comenius University in Bratislava, Martin, Slovak Republic
Department of Medical Biochemistry and BioMed, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovak Republic
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1. Introduction
Lead zirconium titanate (PZT) was first developed around 1952 at the Tokyo Institute of Technology. Due to its physical strength, chemical inertness, tailorability and low manufacturing costs, it is one of the most commonly used piezo ceramics. It is used in various applications as an actuator including micromanipulation and ultrasonics. Due to the piezoelectric effect [1], it can also be used as a sensor of force or displacement or for energy harvesting since current is produced by the device in response to an applied strain. Three main issues, however, compromise the utility of these devices. The first is that the stroke of these devices is limited to about 40 μm, which for some applications, necessitates the use of dual stage actuation [2, 3] or inchworm actuators [4] which combine brake PZTs with actuation PZTs to extend the dynamic range of these devices. In addition, PZTs suffer from significant amounts of hysteresis (15 percent of full stroke) and creep which causes drift of the device over time. These two issues make open loop operation of these devices problematic since multiple displacements are possible for the same input and due to the fact that creep dissipates at very slow rates. To overcome these problems, it is possible to invert the hysteresis nonlinearity [5] but this can only improve accuracy by one order of magnitude and leaves the creep issue unresolved. This has led many to employ servo control with displacement sensing of the PZT elongation [6, 7, 8]. This will linearize the device to the accuracy of the sensor, and address creep, but the hysteresis nonlinearity has an impact on the loop stability which must be analyzed. In a linear sense, the hysteresis has an effect on the both the loop gain and phase margin. These impacts necessitate high fidelity modeling of the PZT behavior, which can be quite rich and faceted. The model described in this chapter is intended to be used as a necessary precursor for control design and simulation.
Many models for PZT stacks have been developed in the literature, such as those in [8, 9, 10], but few incorporate the transfer of energy into a structure and out of the structure back into the device. Of those that do describe this important detail, [1, 11, 12, 13], the treatment of piezoelectric hysteresis in the model is often problematic in that either friction elements, such as the Maxwell resistive capacitor (MRC) are used, which are difficult to simulate, or nonlinear differential equations are used which have very heuristic fitting functions [1]. The hysteresis model described here overcomes these difficulties by using backlash basis functions which are relatively easy to fit to experimental data and are numerically efficient to simulate. The hysteresis model does not included creep, but it is possible to add springs and dashpots to the backlash elements which will capture the creep behavior.
The PZT model presented in this chapter can also be used to predict current usage which is important in terms of amplifier design and slew rate limitations. It can also be easily integrated into a FEM of the structure that the PZT is embedded in. The model in this chapter is based on the work in [1, 12]. Unfortunately, these papers offer little in terms of determining the parameters of the model. In particular, the internal capacitances and transducer constant vary from one type of PZT to another. As a result, this chapter describes experimental techniques for determining these parameters regardless of the particular PZT configuration. We also validate proper operation of our test equipment and compare the simulated model output to test data.
For control design purposes it is also important to model the sensor in addition to the actuator. Various types of sensors have been used for PZT control such as optical encoders with 1.2 nm resolution, laser metrology gauges, and more commonly, strain gauges. Strain gauges offer good performance for the price and can be directly bonded to the sides of the PZT. A model of a modulated full strain gauge bridge is given which includes the effect of intrinsic bridge imbalance and bridge sensitivity. A simplified version of this model, excluding all exogenous signals, is given to facilitate loop shaping of a control loop.
PZTs are often used in optical instrument such as coronagraphs, interferometers, spectrometers and microscopes where micro-manipulation below the scale of optical wavelengths is required. Given the small wavelengths of visible and infrared light (350 nm - 14 μm), subnanometer positioning is required for these applications. PZTs come in a wide variety of shapes and configurations. Here we focus on piezo stack actuators which are the most commonly used. In particular, we tested and modeled the P-888.51 PICMA stack multilayer piezo actuator [14] which is ubiquitous in its use for various missions at JPL. This PZT has dimensions of 10 mm × 10 mm × 18 mm and has a nominal stroke of 15 μm at 100 Volts across its terminals. It has a blocking force of up to 3600 Newtons and a mechanical stiffness of 200 N/μm. Nominal voltage range applied to the PZT is 0–100 Volts, but it is possible to apply between −20 - 120 Volts for extended stroke. These devices are operated with large preloads to keep the device in compression during operation. Dynamic loads that put the ceramic device in tension need to be avoided since they are brittle and fracture easily in tension. The recommended preload is 15 MPa which for the 10 mm × 10 mm cross sectional area of the device is 1500 Newtons. The first mode of this particular PZT is 70 kHz which is far greater than the first mode of any structure it is generally incorporated into.
The PICMA P-888.51 can be ordered with a full bridge strain gauge bonded directly to the sides of the PZT ceramic. As mentioned above, strain gauges are used to linearize the hysteretic behavior of PZTs and to mitigate their drift or creep, which can be substantial. To determine the bridge response, we analyze the modulating electronics used to read the Wheatstone bridge. The modulation is a technique commonly used for rejection of noise picked up along the cabling between the PZT and electronics board. The strain gauge bridge we analyze is composed of two Vishay half bridges (Part number N2A-XX-S053P-350) bonded to opposite sides of the PZT as shown in Figure 1. Each bridge resistor has a nominal resistance of 350 Ohms.
Figure 1.
From left to right, circuit diagram of strain gauge Wheatstone bridge showing resistive elements labeled by the color of wires on each side of the resistor, physical layout of resistive elements and wiring connections, and strain gauge elements bonded to the PZT.
Three identical PZTs were tested which we refer to by their serial numbers, SN637, SN629 and SN618.
2. Full electro-mechanical PZT model
The PZT model we analyze is depicted in Figure 2. It is taken from the model proposed in [1, 12, 13] with a few modifications. We have added a resistor on the input since this is part of the amplifier used to drive the device. We depict the resistor in Figure 2 as having a switch since most of our experiments were conducted without this resistor. This resistor and the equivalent capacitance of the circuit determines the RC time constant of the actuator model. This time constant can vary based on the voltage input (Vpea) history due to the nonlinear capacitance, Ch⋅. As current, q̇, flows into the circuit charge develops across the working capacitor, Cp, which due to the inverse piezoelectric effect produces a force, Fp in the piezoelectric stack. Conversely, any environmental force, Fe, which causes velocity of the PZT stack generates a current, q̇p, in the circuit due to the piezoelectric effect.
The unknown model parameters in Figure 2 include the two capacitances, Cp and Ch⋅, and the transducer constant, Tem. The resistor value, R, is known by design (80 Ohms) and can be easily measured. The mechanical stiffness of the PZT, kp, can be obtained from Physik Instrumente (PI) spec. Sheets [14]. The damping coefficient, dp, of the PZT ceramic is a structural parameter of the PZT and not part of this investigation. It is primarily a parameter that effects the high frequency behavior of the PZT in terms of changing the modal response. Here we are more concerned with the low frequency, nonlinear behavior of the device.
Writing some simple circuit equations based on Figure 2, we have Kirchhoff’s Voltage Law (KVL) and Kirchhoff’s Current Law (KCL),
Vpea=Vr+Vh+VpKVLE1
q̇=q̇c+q̇pKCL.E2
We also have the three constitutive relations for each of the components in this circuit,
q=ChVhqc=CpVpE3
Vr=irRwithqt=∫0tirtdt.E4
Using Eqs. (1)–(4) we can convert the circuit diagram in Figure 2 to the block diagram in Figure 3. Figure 3 is easier to simulate since the mixed electrical and mechanical domains are irrelevant. Few simulation software applications allow for mixed domain signals. SPICE is a typical example of this. Simscape™ does allow for mixed domain signals but nonlinear multivalued capacitors are not supported. Putting the model in block diagram form allows for easy integration in the Matlab® and Simulink® programming environment which supports simulation of both a structural model for the mechanical impedance, M⋅, and hysteretic capacitance, Ch⋅, using primitive Simulink components. Looking at Figure 3 KVL is represented with the first two summing nodes. The center summing node is depicting an integrated version of KCL, Eq. (2). Since the voltage across the resistor, Vr, is proportional to the current, q̇, the charge, q, needs to be differentiated, thus we use the Laplace operator, s, in Figure 3 to represent this. The saturation block on current is included to capture current limits of the PZT amplifier. As an example of this, the flight amplifier for the Nancy Grace Roman Space Telescope has a limit of +2 mA for sourcing of current into the PZT and − 14 mA for sinking of current out of the PZT.
Figure 2.
Nonlinear electro-mechanical PZT model. Features of this model include the nonlinear capacitance, Ch⋅, and transducer constant, Tem, which governs the flow of energy into and out of the PZT.
At steady state and with the boundary conditions at both ends of the PZT free (i.e. no structural stiffness to oppose the PZT produced force, Fp.), the mechanical impedance of the PZT, M⋅, reduces to 1/kp. The displacement of the PZT can then be written as,
xpzt=1kpFe+Fp,E5
with Fp=TemVp. With the terminals of the PZT open circuit Vp=Vpea assuming the device has been shorted and drained of all charge prior to applying an environmental force. Since Vpea is a measurable signal this allows us to solve for Tem using Eq. (5),
Tem=kpxpzt−FeVpea,E6
where both xpzt and Fe can also be measured. This equation forms the basis of the experiments described in Section 3.2.
To determine the nonlinear capacitance, Ch⋅, and working capacitance, Cp, we collect input/output data while applying a voltage, Vpea, to the PZT with the environmental force, Fe, set to zero. To determine the hysteresis of this block over its full range of inputs, we apply a sinusoidal Vpea voltage that goes from 0–100 Volts. This voltage is applied slowly so that we can assume that M⋅≈1/kp. The output signal of Ch⋅, q, can be obtained by integrating measurements of the current flowing into the PZT as a result of the voltage, Vpea, applied to the PZT terminals. The input signal to Ch⋅, Vh, can be solved for using KVL,
Vh=Vpea−Vr−Vp,E7
where Vr=0 since during this test the resistor R is not used. Vp in Eq. (7) can be solved for by using Eq. (5) with Fe=0 and Fp=TemVp. This leads to,
Vp=xpztkpTemE8
Eqs. (7) and (8) together with the measured charge, q, form the basis of the experiments described in Section 3.3 for determining the nonlinear capacitance, Ch⋅.
Plugging in Fe=0 and Fp=TemVp with Vp given by Eq. (9) into Eq. (5) we have,
xpzt=TemkpCp+Tem2⏟kq2xq.E10
We can solve for the gain, kq2x, in a least squares sense,
kq2x=qTq−1qTxpztE11
where q and xpzt are vectors of the sampled signals q and xpzt. The working capacitance, Cp, is then,
Cp=Tem−Tem2kq2xkpkq2xE12
Eqs. (10)–(12) form the basis of the experiments described in Section 3.3 for determining the working capacitance, Cp.
The strain gauge voltage change is the difference between the voltage at the start of the test and at the time that the peak force was applied.
3. Experiments
3.1 Displacement sensing for test campaign
Both experiments described below require sensing of the PZT elongation. To do this we use the strain gauge bonded to the PZT. For testing purposes we applied a DC voltage (10 Volts) as the excitation input to the bridge and configured a differential amp on the output of the bridge. The gain of this amplifier was set to 311.4 which amplified the millivolt signal of the bridge output to the 2–3 Volt range which was easily measurable by our test equipment. The amplified voltage was calibrated to the actual displacement of the PZT using a micrometer with 0.5 micron accuracy (Mitutoyo MDH high accuracy digimatic micrometer, series 293.). A linear fit of the calibration data, measured displacement vs. measured voltage, revealed a fit error of 0.71 microns for the worst case PZT with scale factors of 3.077 (μm/V), 3.183 (μm/V) and 3.246 (μm/V) for SN637, SN629 and SN618 respectively. Calibrated steady state measurements of the strain gauge had an RMS of 22 nm which was more than sufficient for our testing campaign.
3.2 Experiment 1: instron testing
As discussed above we use the force balance Eq. (6) to determine the transducer constant, Tem. The environmental force, Fe, in this equation was applied using an Instron 8801 Servohydraulic load frame which is part of the JPL Materials Testing and Failure Facility. Refer to Figure 4 for a picture of the PZT test jig. To avoid potential damage to the load frame the hydraulic press was operated in displacement mode which left force an uncontrolled, but measured parameter (see Figure 5). To measure the back EMF term, Vpea, in this equation a voltmeter with high input impedance is required. Without a high impedance voltmeter the RC decay time constant would be much faster than the duration of the experiment and compromise the data. We used a Keithley 617 high resistance meter with 200 TeraOhm input impedance to keep charge from bleeding off the PZT leads. To measure the PZT displacement an Agilient 34401A DMM was used to monitor the amplified bridge output voltage. The applied compressive load to the PZT was measured with the load cell that is incorporated into the load frame.
Figure 3.
Block diagram of PZT model showing the inverse piezo effect and piezo effect with charge feedback. The nonlinear capacitance function, Ch⋅, is modeled with backlash operators. The mechanical impedance, M⋅, can be as simple as a spring representing the mechanical stiffness of the PZT material or a FEM of the structure the PZT is embedded into.
Figure 4.
PZT installed in the Instron jig between two compression platens. The load frame is used to apply a compressive load of 800 (N) while the PZT displacement, back EMF, and applied load are measured. The PZT is compressed with and without a 200 Ohm resistor applied across the leads of the PZT. This resistor is shown on the right terminal block in the open circuit configuration.
Each of the three PZTs was tested with and without the load resistor to see how much resistive force is created by the charge feedback. Tests done with the resistor bleeds off any charge that would otherwise develop and leaves only the mechanical stiffness to oppose the applied compressive force. In addition, to verify repeatability of the experimental results each tested configuration was repeated three times. Table 1 summarizes the results of these tests. Note that with the load resistor the peak displacements are substantially greater than the cases without the load resistor even though the peak loads applied are similar. This is the result of charge feedback generating an opposing force beyond that provided by the mechanical stiffness alone. It may be surprising to find that the electrical force produced is close to or even greater than the force produced by the mechanical stiffness when the resistor is not used. Plugging in the peak force, Fe, the peak displacement, xpzt, and peak back EMF, Vpea, from Table 1 into Eq. (6), and using the spec. Sheet value [14] of the mechanical stiffness, kp=200N/μm, we can solve for the transducer constant, Tem. The mean value of Tem over each PZT and over the three runs for each PZT was 46.71 (N/V) or (C/m). The variance of this estimate was minimal.
R In
SN637
SN637
SN637
SN629
SN629
SN629
SN618
SN618
SN618
(Run 1)
(Run 2)
(Run 3)
(Run 1)
(Run 2)
(Run 3)
(Run 1)
(Run 2)
(Run 3)
Strain Gauge Voltage Change (V)
−0.925
−1.040
−0.958
−1.112
−0.918
−0.944
−0.885
−0.914
−0.926
Peak Displacement (um)
−2.847
−3.200
−2.949
−3.538
−2.922
−3.006
−2.873
−2.966
−3.005
Peak Force (N)
−772.2
−778.1
−774.3
−799.5
−738.6
−773.3
−792.8
−798.8
−809.8
Peak Back EMF (V)
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
R Out
SN637
SN637
SN637
SN629
SN629
SN629
SN618
SN618
SN618
(Run 1)
(Run 2)
(Run 3)
(Run 1)
(Run 2)
(Run 3)
(Run 1)
(Run 2)
(Run 3)
Strain Gauge Voltage Change (V)
−0.415
−0.413
−0.426
−0.382
−0.381
−0.384
−0.334
−0.334
−1.078
Peak Displacement (um)
−1.277
−1.272
−1.311
−1.217
−1.213
−1.221
−1.084
−1.084
−0.336
Peak Force (N)
−798.8
−797.1
−834.3
−807.2
−795.8
−800.0
−808.8
−815.4
−844.0
Peak Back EMF (V)
11.68
12.32
12.55
11.98
12.51
12.63
12.20
12.21
12.15
Table 1.
Instron testing data with and without load resistor. For each PZT, SN637, SN629 and SN618 the load test was repeated three times.
3.3 Experiment 2: free-free test
To perform the free-free test on the PZT, the applied voltage, resulting current applied to the PZT and PZT displacement all need to be measured synchronously. To do this we used a Keysight Technologies B2902A precision source to sample the applied voltage and current. This instrument was designed to measure I/V measurements easily and accurately. To measure the PZT displacement the output of the bridge differential amp was measured with a Tektronics oscilloscope. To synchronize the two data sets we used the peak value in each data record. These signals are shown in Figure 5 together with the applied charge which is just the integrated current. Before each test a relay was used to temporarily short the leads of the PZT to drain any charge. This put the PZT in its rest state prior to each test.
To validate our instrumentation we compared the current and charge reported by our test setup using a simple 5.5 μF capacitor against a SPICE simulation with the same capacitor value. The peak charges agreed to within 2 percent providing confidence to the current measurements.
Using the PZT position and charge measurements shown in Figure 6 along with the previously estimated value of the transducer constant, Tem, and stiffness, kp, taken from the PI spec. Sheet [14], we can use Eqs. (10)–(12) to solve for the working capacitance, Cp. This resulted in a value of 5.802 μF for SN637 which is close to the small signal (1 Vpp) effective capacitance value listed in the PI spec. Sheet of 6.0 μF±20%. Note the effective capacitance in our model is the series combination of Cp with Ch⋅ which is CpCh⋅/Cp+Ch⋅. Thus, whatever the value of Ch⋅ it can only act to reduce the effective capacitance from the baseline value of Cp.
Figure 5.
PZT signal set recorded during each free response test. The charge signal was obtained by integrating the current. The position signal was obtained by sampling the strain gauge voltage and applying the calibration described in Section 3.1.
Before determining the nonlinear function, Ch⋅, the input signal, Vh, is generated using Eqs. (7) and (8). This revealed that the voltage drop across the hysteretic capacitance, Vh, was approximately one-third of the applied voltage, Vpea. This leaves two-thirds of the applied voltage across the working capacitor to produce work. The output of the nonlinear function, Ch⋅, is given by the charge measurements, q. The input and output data is shown in Figure 6 which demonstrates a great deal of hysteresis. Note that creep between the two applied sinusoids infects the data as can be seen in the lower left of Figure 7. This portion of the data was not fit by the model described below.
Figure 6.
Force trajectories during operation of the load frame in displacement mode. Each of the three PZTs was tested three times with the load resistor, Rin cases, and three times without the load resistor, Rout cases. Since force was not a controlled variable during the test it had a noticeable but tolerable amount of variation or jitter.
3.3.1 Hysteresis model
To fit the capacitive hysteresis data a neural network of backlash basis functions is employed of the form,
q=∑i=1NBiVhxiowi⋅kiE13
where BiVhxiowi is a backlash operator with input variable, Vh, initial condition, xio, and deadband width, wi. Each backlash output is weighted with a gain ki which changes the slope of the backlash operator when the deadband is engaged. Details of fitting the parameters of this model to experimental data are given in [5, 15] but, to summarize, the gains ki are used to fit the curvature of the hysteresis data, the schedule of deadband widths, wi, are used to accurately capture regions of the hysteresis that have high curvature and the initial conditions are used to capture the uniqueness of the initial loading curve. A diagram of the hysteresis model is provided in Figure 8.
Figure 7.
Capacitive hysteresis data and model fit. Linearized approximations are shown with the large signal approximation of ∼30.5 μF.
4. Complete model
To validate the PZT model described in this chapter we exercise the model in Figure 3 by applying a full scale (0–100 Volt) sinusoidal input voltage, Vpea, and record the model output, xpzt. This data can then be compared with the same data acquired during the experiments described in Section 3.3. This comparison is made in Figure 9 which shows good agreement between the experimental data and model data. In addition, comparisons of the experimentally measured current and modeled current signal also demonstrated similar agreement. Note the hysteresis percentage in Figure 9, as defined by the vertical thickness of the hysteresis loops relative to the peak displacement, is lessened for the output signal of the model relative to the percentage of hysteresis demonstrated in Figure 7. This is most likely due to the voltage feedback terms, Vp and Vr, in Figure 3 that act to reduce the uncertainty caused by the capacitive hysteresis, Ch⋅.
Figure 8.
Diagram of capacitive hysteresis model used to fit the data in Figure 7. Initial state and deadband width are indicated for the Nth element of the model. The output arm displacement of each backlash element is multiplied by gain ki and summed with the other backlash elements to form the output variable q.
5. Modulated strain gauge model
We have seen from the test data that the behavior of the PZT is nonlinear due to its hysteresis. Many applications of PZT actuators require greater positioning accuracy than what can be achieved with open loop operation of the PZT. To overcome this accuracy issue, it is common to use strain gauges bonded directly to the face of the PZT. These sensors are used with feedback control to greatly improve the positioning accuracy of the actuator. Typically the accuracy can be improved from 12–15 percent down to 0.1 percent by using strain gauge sensors. Strain gauge sensors also suffer from hysteresis (This is what limits their accuracy.) but the amount of hysteresis is much less than the actuator.
Before designing any control loop that uses strain gauge feedback, it is necessary to understand the output response of the strain gauge voltage versus the input strain. To do this, we first characterize the resistive changes of the four Wheatstone bridge resistors as a function of the PZT elongation. The results of this analysis can then be used to derive the sensitivity of the bridge output. This analysis assumes that the strain gauge bridge is modulated with a square wave reference at its excitation terminals. The modulation is done in order to reduce noise pickup in the cabling between the bridge location and PZT processing electronics board which can be separated by several meters in typical applications. Any noise with a frequency content well below the modulation frequency of 10 kHz can be eliminated with this technique. Demodulation can be done in analog electronics but here we describe a case where the demodulation is done in FPGA firmware.
5.1 Bridge resistance changes
The stain gauge configuration we study is a full Wheatstone bridge, meaning that all four resistive elements of the bridge see a change in strain due to the elongation of the PZT. Two of the bridge elements, on opposite diagonals of the Wheatstone bridge, are bonded to the PZT along the length of the PZT which is the direction of intended length change. The remaining two bridge elements are bonded to the PZT perpendicular to this, along the width of the actuator. These two bridge elements will also see a resistance change when the PZT elongates due to the fact that as the PZT lengthens it also gets more narrow. The circuit diagram of the Wheatstone bridge and layout of the bridge elements when bonded to the PZT is shown in Figure 1.
Figure 9.
Experimental and modeled input/output data for the full PZT model.
To characterize the exact relationship between the PZT elongation and resistive change of each bridge element we conducted a test where the resistance measurement across each strain gauge resistor was measured for several increments of PZT displacement from its rest length to its maximum displacement. Each resistance measurement is the equivalent resistance of the element across the probe terminals in parallel with the other three elements, i.e.,
Rm1=RW−Y∥RY−G+RG−B+RW−BE14
Rm2=RW−B∥RW−Y+RY−G+RG−BE15
Rm3=RG−B∥RW−B+RW−Y+RY−GE16
Rm4=RY−G∥RG−B+RW−B+RW−Y.E17
These measurements must be solved for the individual bridge elements by solving the system of equations in (14)–(17) for each of the four bridge element resistances. This system of equations is nonlinear but can be solved uniquely using a nonlinear equation solver. Mathematica was used for this purpose. Solving this system of equations resulted in three complex solutions and one real solution for each of the resistances on the right hand side. Since the resistance must be real, the real solution was taken as the answer.
The results of these measurements are shown in Figure 10 for PZT SN618. The two strain gauges that are oriented along the length of the PZT increase their resistance as the PZT elongates since this deformation lengthens the gauge and thins the wires of the bridge. The two strain gauges oriented along the width of the PZT decrease in resistance since, in this direction, the PZT narrows. As it narrows the wires of these bridge resistors become shorter and thicker reducing their resistance. Interestingly, the ratio of the slopes of the horizontally mounted gauges to the vertically mounted gauges is equal to the aspect ratio of the PZT, Wrest/Lrest, where Wrest is the rest width of the PZT and Lrest is the rest length of the PZT. Also note that at zero elongation of the PZT, the actual resistance of each bridge element deviates from the nominal value of 350 Ohms. For all three full bridge strain gauges tested the variation from the nominal resistance for each bridge element was found to be 0.224 Ohms, 1-σ with a maximum error bounded by ±0.4 Ohms. This was consistent with the spec. Sheet tolerance [16].
Figure 10.
Four bridge resistances as a function of PZT displacement. This data is from 1 of 3 PZTs tested. Note the difference in slopes of the four resistors, one negative slope for the two horizontally placed bridge elements and one positive slope for the two vertically placed bridge elements. Initial resistances at zero elongation reveals the intrinsic bridge imbalance due to manufacturing tolerances.
Taking into account the nominal resistance, variation in nominal resistance and strain induced resistance change, the resistance of each bridge element can be written as,
where kgf is the gauge factor of the bridge element (kgf=2.05 [11]) which relates the change in resistance to the strain, (spzt/Lrest). Rnom is the nominal bridge resistance and ΔRnomW−Y,ΔRnomG−B,ΔRnomY−G,ΔRnomW−B are the variations from this nominal value. In the following treatment of bridge sensitivity, these intrinsic imbalance terms can be ignored since they are a small portion of the total resistance.
5.2 Bridge sensitivity
Referring to Figure 9 we can derive the bridge sensitivity using simple circuit analysis. Writing out the constitutive relation for each resistor we have,
Vmod+−Vsig+=iL⋅RY−GE22
Vmod+−Vsig−=iR⋅RW−YE23
Vsig+−Vmod−=iL⋅RG−BE24
Vsig−−Vmod−=iL⋅RY−G,E25
where iL and iR are the currents indicated in Figure 1. Solving this system of equations for iL, iR, Vsig+ and Vsig− as functions of the two excitation voltages Vmod+ and Vmod− gives the output voltage, Vout=Vsig+−Vsig−, as,
Substituting the resistances, Eqs. (18)–(21), into Eq. (26) and letting Vmod+=Vmod and Vmod−=−Vmod we can express the output voltage of the bridge as a function of the displacement xpzt,
Note that the output voltage of the Wheatstone bridge is actually weakly nonlinear in the PZT displacement, xpzt, which is a bit surprising. Also note that the signal level of the output is directly proportional to the modulation voltage, Vmod. This implies that the resolution of the device can be arbitrarily increased with larger excitation voltages. The cost of this increased resolution would be an increased thermal signature. The thermal signature can be an issue in some applications since it can cause excessive drift of the electronics and warping of any optics near the bridge.
To derive the linearized gain of Eq. (27), we can use the first term of a Taylor series,
Evaluating this derivative at xpzto=7.5μm gives a gain of 354.18 (V/m) between the change in PZT elongation from xpzto and the change in differential bridge output voltage, Vout−fxpzto.
5.3 Simplified model
After the bridge, a differential amplifier is used to boost the voltage to the ±2.5 Volt range of the A2D converter (COBHAM RAD1419 with 14 bits). This sampling is done at high rate, 800 kHz, to capture the high and low modulation levels of the 10 kHz square wave. This gives 40 samples during each portion of the modulation signal. These samples are averaged and then differenced before being operated on in firmware. The FPGA firmware applies a linear transformation to this signal in order to map it to the desired DAC range of ±2.6 Volts for the feedback servo. This bias and scale factor trimming can be done in analog electronics but is more accurately done in firmware. The full signal chain from PZT displacement to demodulated firmware voltage is shown in the top subfigure of Figure 11. The gain of the differential amp cannot map its output voltage exactly to the rails of the A2D since the intrinsic imbalance of the gauge and resulting bias voltage at zero PZT displacement prevents this.
Figure 11.
Circuit schematic (top subfigure) and simplified block diagram of the strain gauge processing electronics (bottom subfigure). Modulation of the Wheatstone bridge is done with a 10 kHz square wave with 2 Volts applied to the reference excitation terminal and − 2 Volts applied to the reference ground terminal. These voltages are swapped every 50 usec. The bridge voltages are sampled at 800 kHz and demodulated in firmware.
For purposes of control loop design a simplified model of the strain gauge response is useful. If we ignore exogenous signals, such as the gauge noise and bias trim, which do not effect the loop gain, a simplified linear model of gauge response is shown in the bottom subfigure of Figure 11. The bridge gain, the differential amp gain of 300, demodulation gain of 2 and trim scale factor are all indicated in this figure. The demodulation gain is 2 since the firmware takes the difference between the same two voltages with opposite sign. Eqs. (27) and (28) give the sensitivity of each of these voltage levels and not their difference.
6. Conclusions
In this work we have developed a full electro-mechanical model of piezoelectric actuators and determined the parameters of this model. Unique experiments were designed to determine the transducer constant and capacitances of the model. The hysteretic capacitance was fit with backlash basis functions which was proposed by the first author in [15]. This hysteresis model is numerically efficient and captures the multivalued behavior of hysteresis as well as the curvature of the hysteresis loops. The output of the PZT model agreed well with the experimental data and successfully predicts the current draw of the actuator which is an important feature of the model for comparison against power limits and slew rate requirements.
For control design actuator models are only half of what is required. Models of the sensors used is also important. In this work we focused on the use of strain gauge sensors which are commonly used with PZT actuators. A nonlinear model of the strain gauge full bridge was developed from which a linearized model was generated. This linear model included the effects of Wheatstone bridge sensitivity, differential amplification, demodulation and firmware scaling.
Although not the focus of this work, the PZT model that we have developed and experimentally identified could easily be included into a FEM of the structure that the PZT is intended to move. This has been done for the fast steering mirror (FSM) used by the Nancy Grace Roman Space Telescope. This FSM has three PZTs that are used to actuate special flexures that amplify the PZT elongation. This amplified motion is used to move a mirror flat in tip, tilt and piston.
One issue that is often over looked with piezo devices is the creep that is produced by these devices. This makes open loop operation with these actuators very challenging. With sensing the creep is usually slow enough to be effectively cancelled by using feedback. Nonetheless, a full piezo model with creep has not been successfully developed to the knowledge of the authors. Augmentations to the backlash elements presented in this work have shown promise in this area but further investigations are necessary.
Acknowledgments
The work described in this paper was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. The author wishes to thank the Nancy Grace Roman Space Telescope Project for funding this work.
Conflict of interest
The authors declares no conflict of interest.
\n',keywords:"PZT, transducer constant, strain gauge, hysteresis, charge feedback",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/75831.pdf",chapterXML:"https://mts.intechopen.com/source/xml/75831.xml",downloadPdfUrl:"/chapter/pdf-download/75831",previewPdfUrl:"/chapter/pdf-preview/75831",totalDownloads:222,totalViews:0,totalCrossrefCites:0,dateSubmitted:null,dateReviewed:"February 19th 2021",datePrePublished:"March 20th 2021",datePublished:"December 8th 2021",dateFinished:"March 20th 2021",readingETA:"0",abstract:"In this chapter a full electromechanical model of piezoceramic actuators is presented. This model allows for easy integration of the piezo stack with a structural finite element model (FEM) and includes the flow of energy into and out of the piezo element, which is governed by the transducer constant of the piezo element. Modeling of the piezo stack capacitive hysteresis is achieved using backlash basis functions. The piezo model can also be used to predict the current usage of the PZT which depends on the slew rate of the voltage applied to the PZT. Data from laboratory experiments using a load frame and free response tests is used to estimate the PZT model parameters. In addition, a simplified model of a modulated full bridge strain gauge is derived based on test data which includes the effect of intrinsic bridge imbalance. Sensors of this type are often used with feedback control to linearize the behavior of the device. Taken together, the actuator and sensor model can be used for the development of piezo actuated control algorithms.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/75831",risUrl:"/chapter/ris/75831",signatures:"Joel Shields and Edward Konefat",book:{id:"10516",type:"book",title:"Piezoelectric Actuators",subtitle:"Principles, Design, Experiments and Applications",fullTitle:"Piezoelectric Actuators - Principles, Design, Experiments and Applications",slug:"piezoelectric-actuators-principles-design-experiments-and-applications",publishedDate:"December 8th 2021",bookSignature:"Hu Huang and Jianping Li",coverURL:"https://cdn.intechopen.com/books/images_new/10516.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",isbn:"978-1-83968-832-4",printIsbn:"978-1-83968-831-7",pdfIsbn:"978-1-83968-833-1",isAvailableForWebshopOrdering:!0,editors:[{id:"35374",title:"Prof.",name:"Hu",middleName:null,surname:"Huang",slug:"hu-huang",fullName:"Hu Huang"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:[{id:"333047",title:"Ph.D.",name:"Joel",middleName:"Francis",surname:"Shields",fullName:"Joel Shields",slug:"joel-shields",email:"joel.f.shields@jpl.nasa.gov",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"348983",title:"Mr.",name:"Edward",middleName:null,surname:"Konefat",fullName:"Edward Konefat",slug:"edward-konefat",email:"edward.h.konefat@jpl.nasa.gov",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"California Institute of Technology",institutionURL:null,country:{name:"United States of America"}}}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Full electro-mechanical PZT model",level:"1"},{id:"sec_3",title:"3. Experiments",level:"1"},{id:"sec_3_2",title:"3.1 Displacement sensing for test campaign",level:"2"},{id:"sec_4_2",title:"3.2 Experiment 1: instron testing",level:"2"},{id:"sec_5_2",title:"3.3 Experiment 2: free-free test",level:"2"},{id:"sec_5_3",title:"3.3.1 Hysteresis model",level:"3"},{id:"sec_8",title:"4. Complete model",level:"1"},{id:"sec_9",title:"5. Modulated strain gauge model",level:"1"},{id:"sec_9_2",title:"5.1 Bridge resistance changes",level:"2"},{id:"sec_10_2",title:"5.2 Bridge sensitivity",level:"2"},{id:"sec_11_2",title:"5.3 Simplified model",level:"2"},{id:"sec_13",title:"6. Conclusions",level:"1"},{id:"sec_14",title:"Acknowledgments",level:"1"},{id:"sec_17",title:"Conflict of interest",level:"1"}],chapterReferences:[{id:"B1",body:'Adriens H, De Koning WL, Banning R. Modeling of Piezoelectric Actuators. IEEE Transactions on Mechantronics. 2000;5(4):331-341'},{id:"B2",body:'Lurie B, Hench J, Ahmed A, Hadaegh F. Nonlinear Control of the Optical Delay Line Pathlength. Orlando: SPIE AeroSense; 1999. pp. 1-11'},{id:"B3",body:'Atsumi T, Nakamura S, Furukawa M, Naniwa I, Xu J. Triple-Stage-Actuator System of Head-Positioning Control in Hard Disk Drives. IEEE Transactions on Magnetics. 2013;49(6):2738-2743'},{id:"B4",body:'Shields J. Asynchronous Control of a Prototype Inchworm Actuator: Control Design and Test Results. Actuators. 2019;p. 1–21'},{id:"B5",body:'Shields J. Characterization and Inversion of the AMD Primary and Secondary Rigid Body Actuators. Pasadena, (CA): Jet Propulsion Laboratory; 2010. D-60616'},{id:"B6",body:'Yan Z, Sun L. Design, Control and Application of a PZT-driven Micro-stage. In: International Conference on Mechatronics and Automation. IEEE: Harbin, China; 2007'},{id:"B7",body:'Zheng J, Fu M. Saturation Control of a Piezoelectric Actuator for Fast Settling-Time Performance. IEEE Transactions on Control Systems Technology. 2013;21(1):220-228'},{id:"B8",body:'Wu Z, Chen M, He P, Li H, Zhang Q, Xiong X, et al. Tracking Control of PZT-Driven CompliantPrecision Positioning Micromanipulator. IEEE Access. 2020;8:126477-126487'},{id:"B9",body:'Segalman DJ, Starr MJ. Inversion of Masing models via continuous Iwan systems. International Journal of Non-Linear Mechanics. 2008;43:74-80'},{id:"B10",body:'Xiao S, Li Y. Modeling and High Dynamic Compensating the Rate-Dependent Hysteresis of Piezoelectric Actuators via a Novel Modified Inverse Preisach Model. IEEE Transactions on Control Systems Technology. 2012;21(5):1549-1557'},{id:"B11",body:'Lee SH, Royston TJ. Modeling Piezoceramic Transducer Hysteresis in the Structural Vibration Control Problem. The Journal of the Acoustical Society of America. 2000;108(6):2843-2855'},{id:"B12",body:'Goldfarb M, Celanovic N. Modeling Piezoelectric Stack Actuators for Control of Micromanipulation. IEEE Control Systems Magazine. 1997;17(3):69-79'},{id:"B13",body:'Liu Y, Shan J, Gabbert U, Qi N. Hysteresis and Creep Modeling and Compensation for a Piezoelectric Actuator Using a Fractional-order Maxwell Resistive Capacitor Approach. Smart Materials and Structures. 2013;22:1-12'},{id:"B14",body:'PICMA® Stack Multilayer Piezo Actuators [PDF Document]. Physik Instrumente;. Available from: https://www.pi-usa.us/en/products/piezo-actuators-stacks-benders-tubes/p-882-p-888-picma-stack-multilayer-piezo-actuators-100810/#specification'},{id:"B15",body:'Shields J, Sirlin S, Wette M. Starlight Pointing Subsystem for the Formation Interferometer Testbed (FIT). Big Sky, MT: IEEE Aerospace Conference; 2002. pp. 1-11'},{id:"B16",body:'Vishay Precision Group. Transducer-Class Strain Gauges [PDF Document]. Raleigh, NC 27611: Micro-Measurements;. Available from: https://www.micro-measurements.com'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Joel Shields",address:"Joel.f.shields@jpl.nasa.gov",affiliation:'
Jet Propulsion Laboratory, California Institute Technology, Pasadena, CA, USA
Jet Propulsion Laboratory, California Institute Technology, Pasadena, CA, USA
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Our journals are currently in their launching issue. They will be applied to all relevant indexes as soon as they are eligible. These include (but are not limited to): Web of Science, Scopus, PubMed, MEDLINE, Database of Open Access Journals (DOAJ), Google Scholar and Inspec.
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IntechOpen books are indexed by the following abstracting and indexing services:
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BKCI is a part of Web of Science Core Collection (WoSCC) and the world’s leading citation index with multidisciplinary content from the top tier international and regional journals, conference proceedings, and books. The Book Citation Index includes over 104,500 editorially selected books, with 10,000 new books added each year. Containing more than 53.2 million cited references, coverage dates back from 2005 to present. The Book Citation Index is multidisciplinary, covering disciplines across the sciences, social sciences, and arts & humanities.
Produced by the Web Of Science group, BIOSIS Previews research database provides researchers with the most current sources of life sciences information, including journals, conferences, patents, books, review articles, and more. Researchers can also access multidisciplinary coverage via specialized indexing such as MeSH disease terms, CAS registry numbers, Sequence Databank Numbers and Major Concepts.
Produced by the Web Of Science group, Zoological Record is the world’s oldest continuing database of animal biology. It is considered the world’s leading taxonomic reference, and with coverage back to 1864, has long acted as the world’s unofficial register of animal names. The broad scope of coverage ranges from biodiversity and the environment to taxonomy and veterinary sciences.
Provides a simple way to search broadly for scholarly literature. Includes peer-reviewed papers, theses, books, abstracts and articles, from academic publishers, professsional societies, preprint repositories, universities and other scholarly organizations. Google Scholar sorts articles by weighing the full text of each article, the author, the publication in which the article appears, and how often the article has been cited in other scholarly literature, so that the most relevant results are returned on the first page.
Microsoft Academic is a project exploring how to assist human conducting scientific research by leveraging machine’s cognitive power in memory, computation, sensing, attention, and endurance. Re-launched in 2016, the tool features an entirely new data structure and search engine using semantic search technologies. The Academic Knowledge API offers information retrieval from the underlying database using REST endpoints for advanced research purposes.
The national library of the United Kingdom includes 150 million manuscripts, maps, newspapers, magazines, prints and drawings, music scores, and patents. Online catalogues, information and exhibitions can be found on its website. The library operates the world's largest document delivery service, providing millions of items a year to national and international customers.
The digital NSK portal is the central gathering place for the digital collections of the National and University Library (NSK) in Croatia. It was established in 2016 to provide access to the Library’s digital and digitized material collections regardless of storage location. The digital NSK portal enables a unified search of digitized material from the NSK Special Collections - books, visual material, maps and music material. From the end of 2019, all thematic portals are available independently: Digital Books, Digitized Manuscripts, Digitized Visual Materials, Digital Music Materials and Digitized Cartographic Materials (established in 2017). Currently available only in Croatian.
The official DOI (digital object identifier) link registration agency for scholarly and professional publications. Crossref operates a cross-publisher citation linking system that allows a researcher to click on a reference citation on one publisher’s platform and link directly to the cited content on another publisher’s platform, subject to the target publisher’s access control practices. This citation-linking network covers millions of articles and other content items from several hundred scholarly and professional publishers.
Dimensions is a next-generation linked research information system that makes it easier to find and access the most relevant information, analyze the academic and broader outcomes of research, and gather insights to inform future strategy. Dimensions delivers an array of search and discovery, analytical, and research management tools, all in a single platform. Developed in collaboration with over 100 leading research organizations around the world, it brings together over 128 million publications, grants, policy, data and metrics for the first time, enabling users to explore over 4 billion connections between them.
The primary aim of DOAB (Directory of Open Access Books) is to increase discoverability of Open Access books. Metadata will be harvestable in order to maximize dissemination, visibility and impact. Aggregators can integrate the records in their commercial services and libraries can integrate the directory into their online catalogues, helping scholars and students to discover the books.
OAPEN is dedicated to open access, peer-reviewed books. OAPEN operates two platforms, the OAPEN Library (www.oapen.org), a central repository for hosting and disseminating OA books, and the Directory of Open Access Books (DOAB, www.doabooks.org), a discovery service for OA books.
OpenAIRE aims at promoting and implementing the directives of the European Commission (EC) and the European Research Council on the promotion and funding of science and research. OpenAIRE supports the Open Access Mandate and the Open Research Data Pilot developed as part of the Horizon 2020 projects.
An integrated information service combining reference databases, subscription management, online journals, books and linking services. Widely used by libraries, schools, government institutions, medical institutions, corporations and others.
SFX® link resolver gives patrons and librarians a wealth of features that optimize management of and access to resources. It provides patrons with a direct route to electronic full-text records through OpenURL linking, delivers alternative links for further resource discovery, access to journals, and more. Released in 2001 as the first OpenURL resolver, SFX is continuously enhanced to support the newest industry developments and meet the evolving needs of customers. The records include a mix of scholarly material – primarily articles and e-books – but also conference proceedings, newspaper articles, and more.
A non-profit, membership, computer library service and research organization dedicated to the public purposes of furthering access to the world's information and reducing information costs. More than 41,555 libraries in 112 countries and territories around the world use OCLC services to locate, acquire, catalogue, lend and preserve library materials.
The world’s largest collection of open access research papers. CORE's mission is to aggregate all open access research outputs from repositories and journals worldwide and make them available to the public. In this way CORE facilitates free unrestricted access to research for all.
Since 2002, Research4Life has provided researchers at more than 10,500 institutions in over 125 lower and middle-income countries with free or low-cost online access to up 151,000 leading journals and books in the fields of health, agriculture, environment, applied sciences and legal information. There are five programs through which users can access content: Research for Health (Hinari), Research in Agriculture (AGORA), Research in the Environment (OARE), Research for Development and Innovation (ARDI) and Research for Global Justice (GOALI).
Perlego is a digital online library focusing on the delivery of academic, professional and non-fiction eBooks. It is a subscription-based service that offers users unlimited access to these texts for the duration of their subscription, however IntechOpen content integrated on the platform will always be available for free. They have been billed as “the Spotify for Textbooks” by the Evening Standard. Perlego is based in London but is available to users worldwide.
MyScienceWork provides a suite of data-driven solutions for research institutions, scientific publishers and private-sector R&D companies. MyScienceWork's comprehensive database includes more than 90 million scientific publications and 12 million patents.
CNKI (China National Knowledge Infrastructure) is a key national information construction project under the lead of Tsinghua University, and supported by PRC Ministry of Education, PRC Ministry of Science, Propaganda Department of the Communist Party of China and PRC General Administration of Press and Publication. CNKI has built a comprehensive China Integrated Knowledge Resources System, including journals, doctoral dissertations, masters' theses, proceedings, newspapers, yearbooks, statistical yearbooks, ebooks, patents, standards and so on. CNKI keeps integrating new contents and developing new products in 2 aspects: full-text academic resources, software on digitization and knowledge management. Began with academic journals, CNKI has become the largest and mostly-used academic online library in China.
As one of the largest digital content platform in China,independently developed by CNPIEC, CNPeReading positions herself as “One Platform,Vast Content, Global Services”. Through their new cooperation model and service philosophy, CNPeReading provides integrated promotion and marketing solutionsfor upstream publishers, one-stop, triune, recommendation, online reading and management servicesfor downstream institutions & libraries.
ERIC (Education Resources Information Center), sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education, provides access to education literature to support the use of educational research and information to improve practice in learning, teaching, educational decision-making, and research. The ERIC website is available to the public for searching more than one million citations going back to 1966.
The ACM Digital Library is a research, discovery and networking platform containing: The Full-Text Collection of all ACM publications, including journals, conference proceedings, technical magazines, newsletters and books. A collection of curated and hosted full-text publications from select publishers.
BASE (Bielefeld Academic Search Engine) is one of the world's most voluminous search sengines especially for academic web resources, e.g. journal articles, preprints, digital collections, images / videos or research data. BASE facilitates effective and targeted searches and retrieves high quality, academically relevant results. Other than search engines like Google or Bing BASE searches the deep web as well. The sources which are included in BASE are intellectually selected (by people from the BASE team) and reviewed. That's why data garbage and spam do not occur.
Zentralblatt MATH (zbMATH) is the world’s most comprehensive and longest-running abstracting and reviewing service in pure and applied mathematics. It is edited by the European Mathematical Society (EMS), the Heidelberg Academy of Sciences and Humanities and FIZ Karlsruhe. zbMATH provides easy access to bibliographic data, reviews and abstracts from all areas of pure mathematics as well as applications, in particular to natural sciences, computer science, economics and engineering. It also covers history and philosophy of mathematics and university education. All entries are classified according to the Mathematics Subject Classification Scheme (MSC 2020) and are equipped with keywords in order to characterize their particular content.
IDEAS is the largest bibliographic database dedicated to Economics and available freely on the Internet. Based on RePEc, it indexes over 3,100,000 items of research, including over 2,900,000 that can be downloaded in full text. RePEc (Research Papers in Economics) is a large volunteer effort to enhance the free dissemination of research in Economics which includes bibliographic metadata from over 2,000 participating archives, including all the major publishers and research outlets. IDEAS is just one of several services that use RePEc data.
As the authoritative source for chemical names, structures and CAS Registry Numbers®, the CAS substance collection, CAS REGISTRY®, serves as a universal standard for chemists worldwide. Covering advances in chemistry and related sciences over the last 150 years, the CAS content collection empowers researchers, business leaders, and information professionals around the world with immediate access to the reliable information they need to fuel innovation.
BKCI is a part of Web of Science Core Collection (WoSCC) and the world’s leading citation index with multidisciplinary content from the top tier international and regional journals, conference proceedings, and books. The Book Citation Index includes over 104,500 editorially selected books, with 10,000 new books added each year. Containing more than 53.2 million cited references, coverage dates back from 2005 to present. The Book Citation Index is multidisciplinary, covering disciplines across the sciences, social sciences, and arts & humanities.
Produced by the Web Of Science group, BIOSIS Previews research database provides researchers with the most current sources of life sciences information, including journals, conferences, patents, books, review articles, and more. Researchers can also access multidisciplinary coverage via specialized indexing such as MeSH disease terms, CAS registry numbers, Sequence Databank Numbers and Major Concepts.
Produced by the Web Of Science group, Zoological Record is the world’s oldest continuing database of animal biology. It is considered the world’s leading taxonomic reference, and with coverage back to 1864, has long acted as the world’s unofficial register of animal names. The broad scope of coverage ranges from biodiversity and the environment to taxonomy and veterinary sciences.
Provides a simple way to search broadly for scholarly literature. Includes peer-reviewed papers, theses, books, abstracts and articles, from academic publishers, professsional societies, preprint repositories, universities and other scholarly organizations. Google Scholar sorts articles by weighing the full text of each article, the author, the publication in which the article appears, and how often the article has been cited in other scholarly literature, so that the most relevant results are returned on the first page.
Microsoft Academic is a project exploring how to assist human conducting scientific research by leveraging machine’s cognitive power in memory, computation, sensing, attention, and endurance. Re-launched in 2016, the tool features an entirely new data structure and search engine using semantic search technologies. The Academic Knowledge API offers information retrieval from the underlying database using REST endpoints for advanced research purposes.
The national library of the United Kingdom includes 150 million manuscripts, maps, newspapers, magazines, prints and drawings, music scores, and patents. Online catalogues, information and exhibitions can be found on its website. The library operates the world's largest document delivery service, providing millions of items a year to national and international customers.
The digital NSK portal is the central gathering place for the digital collections of the National and University Library (NSK) in Croatia. It was established in 2016 to provide access to the Library’s digital and digitized material collections regardless of storage location. The digital NSK portal enables a unified search of digitized material from the NSK Special Collections - books, visual material, maps and music material. From the end of 2019, all thematic portals are available independently: Digital Books, Digitized Manuscripts, Digitized Visual Materials, Digital Music Materials and Digitized Cartographic Materials (established in 2017). Currently available only in Croatian.
The official DOI (digital object identifier) link registration agency for scholarly and professional publications. Crossref operates a cross-publisher citation linking system that allows a researcher to click on a reference citation on one publisher’s platform and link directly to the cited content on another publisher’s platform, subject to the target publisher’s access control practices. This citation-linking network covers millions of articles and other content items from several hundred scholarly and professional publishers.
Dimensions is a next-generation linked research information system that makes it easier to find and access the most relevant information, analyze the academic and broader outcomes of research, and gather insights to inform future strategy. Dimensions delivers an array of search and discovery, analytical, and research management tools, all in a single platform. Developed in collaboration with over 100 leading research organizations around the world, it brings together over 128 million publications, grants, policy, data and metrics for the first time, enabling users to explore over 4 billion connections between them.
The primary aim of DOAB (Directory of Open Access Books) is to increase discoverability of Open Access books. Metadata will be harvestable in order to maximize dissemination, visibility and impact. Aggregators can integrate the records in their commercial services and libraries can integrate the directory into their online catalogues, helping scholars and students to discover the books.
OAPEN is dedicated to open access, peer-reviewed books. OAPEN operates two platforms, the OAPEN Library (www.oapen.org), a central repository for hosting and disseminating OA books, and the Directory of Open Access Books (DOAB, www.doabooks.org), a discovery service for OA books.
OpenAIRE aims at promoting and implementing the directives of the European Commission (EC) and the European Research Council on the promotion and funding of science and research. OpenAIRE supports the Open Access Mandate and the Open Research Data Pilot developed as part of the Horizon 2020 projects.
An integrated information service combining reference databases, subscription management, online journals, books and linking services. Widely used by libraries, schools, government institutions, medical institutions, corporations and others.
SFX® link resolver gives patrons and librarians a wealth of features that optimize management of and access to resources. It provides patrons with a direct route to electronic full-text records through OpenURL linking, delivers alternative links for further resource discovery, access to journals, and more. Released in 2001 as the first OpenURL resolver, SFX is continuously enhanced to support the newest industry developments and meet the evolving needs of customers. The records include a mix of scholarly material – primarily articles and e-books – but also conference proceedings, newspaper articles, and more.
A non-profit, membership, computer library service and research organization dedicated to the public purposes of furthering access to the world's information and reducing information costs. More than 41,555 libraries in 112 countries and territories around the world use OCLC services to locate, acquire, catalogue, lend and preserve library materials.
The world’s largest collection of open access research papers. CORE's mission is to aggregate all open access research outputs from repositories and journals worldwide and make them available to the public. In this way CORE facilitates free unrestricted access to research for all.
Since 2002, Research4Life has provided researchers at more than 10,500 institutions in over 125 lower and middle-income countries with free or low-cost online access to up 151,000 leading journals and books in the fields of health, agriculture, environment, applied sciences and legal information. There are five programs through which users can access content: Research for Health (Hinari), Research in Agriculture (AGORA), Research in the Environment (OARE), Research for Development and Innovation (ARDI) and Research for Global Justice (GOALI).
Perlego is a digital online library focusing on the delivery of academic, professional and non-fiction eBooks. It is a subscription-based service that offers users unlimited access to these texts for the duration of their subscription, however IntechOpen content integrated on the platform will always be available for free. They have been billed as “the Spotify for Textbooks” by the Evening Standard. Perlego is based in London but is available to users worldwide.
MyScienceWork provides a suite of data-driven solutions for research institutions, scientific publishers and private-sector R&D companies. MyScienceWork's comprehensive database includes more than 90 million scientific publications and 12 million patents.
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BASE (Bielefeld Academic Search Engine) is one of the world's most voluminous search sengines especially for academic web resources, e.g. journal articles, preprints, digital collections, images / videos or research data. BASE facilitates effective and targeted searches and retrieves high quality, academically relevant results. Other than search engines like Google or Bing BASE searches the deep web as well. The sources which are included in BASE are intellectually selected (by people from the BASE team) and reviewed. That's why data garbage and spam do not occur.
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As the authoritative source for chemical names, structures and CAS Registry Numbers®, the CAS substance collection, CAS REGISTRY®, serves as a universal standard for chemists worldwide. Covering advances in chemistry and related sciences over the last 150 years, the CAS content collection empowers researchers, business leaders, and information professionals around the world with immediate access to the reliable information they need to fuel innovation.
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