\r\n\tThe purpose of the book is to bring together the latest knowledge about genetic diversity by presenting the studies of some of the scientists who are engaged in development of new tools and ideas used to reveal genetic diversity, often from very different perspectives. The book should prove useful to students, researchers and experts in the area of biology, medicine and agriculture.
",isbn:"978-1-80356-945-1",printIsbn:"978-1-80356-944-4",pdfIsbn:"978-1-80356-946-8",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,isNomenclature:!1,hash:"0b1e679fcacdec2448603a66df71ccc7",bookSignature:"Prof. Mahmut Çalışkan and Dr. Sevcan Aydin",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11643.jpg",keywords:"PCR Based Methods, Protein Based Methods, Sequencing, Conservation of Genetic Resources, Natural Variation, Molecular Markers, Genetic Manipulation in Animals, Resistance to Disease, Genetic Manipulation in Plants, Use of Microorganisms in Biotechnology, Genetic Differentiation, Gene Therapy and Gene Editing",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 7th 2022",dateEndSecondStepPublish:"June 16th 2022",dateEndThirdStepPublish:"August 15th 2022",dateEndFourthStepPublish:"November 3rd 2022",dateEndFifthStepPublish:"January 2nd 2023",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"22 days",secondStepPassed:!1,areRegistrationsClosed:!1,currentStepOfPublishingProcess:2,editedByType:null,kuFlag:!1,biosketch:"Professor of genetics and molecular biology and Head of Biotechnology division at İstanbul University in Turkey whose main research areas include plant molecular genetics, microbial biotechnology and characterization and biotechnological use of halophilic archaeal strains.",coeditorOneBiosketch:"Associate Professor of Biotechnology Division in Department of Biology at Istanbul University in Turkey whose main research areas include genetics, environmental biotechnology and bioengineering.",coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"51528",title:"Prof.",name:"Mahmut",middleName:null,surname:"Çalışkan",slug:"mahmut-caliskan",fullName:"Mahmut Çalışkan",profilePictureURL:"https://mts.intechopen.com/storage/users/51528/images/system/51528.png",biography:"Mahmut Çalışkan is a Professor of Genetics and Molecular Biology in the Department of Biology, Biotechnology Division, Istanbul University, Turkey. 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1. Introduction
Aflatoxins, the toxic and highly carcinogenic secondary metabolites of Aspergillus flavus and A.parasiticus are the most widely investigated of all mycotoxins because of their central role in establishing the significance of mycotoxins in animal diseases, and the regulation of their presence in food [1, 2]. Aflatoxins pose serious health hazards to humans and domestic animals, because they frequently contaminate agricultural commodities [3, 4]. Presently, numerous countries have established or proposed regulations for controlling aflatoxins in food and feeds [5]; the US Food and Drug Administration (FDA) has limits of 20 ppb, total aflatoxins, on interstate commerce of food and feed, and 0.5 ppb of aflatoxin M1 on the sale of milk. However, many countries, especially in the developing world, experience contamination of domestic-grown commodities at alarmingly greater levels than does the U.S. Evidence of this was shown in a study that revealed a strong association between exposure to aflatoxin and both stunting (a reflection of chronic malnutrition) and being underweight (a reflection of acute malnutrition) in West African children [6]. Also, a 2004 outbreak of acute aflatoxicosis in Kenya, due to the ingestion of contaminated maize, resulted in 125 deaths [7].
Recognition of the need to control aflatoxin contamination of food and feed grains has elicited responses outlining various approaches from researchers to eliminate aflatoxins from maize and other susceptible crops. The approach to enhance host resistance through breeding gained renewed attention following the discovery of natural resistance to A. flavus infection and aflatoxin production in Maize [8-12]. While several resistant maize genotypes have been identified through field screening, there is always a need to continually identify and utilize additional sources of maize genotypes with aflatoxin-resistance.
An important contribution to the identification/investigation of kernel aflatoxin-resistance has been the development of a rapid laboratory screening assay. The kernel screening assay (KSA), was developed and used to study resistance to aflatoxin production in GT-MAS:gk kernels [13, 14]. The KSA is designed to address the fact that aflatoxin buildup occurs in mature and not developing kernels. Although, other agronomic factors (e.g. husk tightness) are known to affect genetic resistance to aflatoxin accumulation in the field, the KSA measures seed-based genetic resistance. The seed, of course, is the primary target of aflatoxigenic fungi, and is the edible portion of the crop. Therefore, seed-based resistance represents the core objective of maize host resistance. Towards this aim, the KSA has demonstrated proficiency in separating susceptible from resistant seed [13, 14]. This assay has several advantages, as compared to traditional field screening techniques [14]: 1) it can be performed and repeated several times throughout the year and outside of the growing season; 2) it requires few kernels; 3) it can detect/identify different kernel resistance mechanisms; 4) it can dispute or confirm field evaluations (identify escapes); and 5) correlations between laboratory findings and inoculations in the field have been demonstrated. The KSA can, therefore, be a valuable complement to standard breeding practices for preliminary evaluation of germplasm. However, field trials are necessary for the final confirmation of resistance.
2. Discovery of aflatoxin-resistance
2.1. Traditional screening techniques
Screening maize for resistance to kernel infection by Aspergillus flavus or for resistance to aflatoxin production is a more difficult task than most disease screening. Successful screening in the past had been hindered [15] by the lack of 1) a resistant control; 2) inoculation methods that yield infection/aflatoxin levels high enough to differentiate among genotypes (natural infection is undependable); 3) repeatability across different locations and years; and, 4) rapid and inexpensive methods for assessment of fungal infection and aflatoxin levels. Several inoculation methods, including the pinbar inoculation technique (for inoculating kernels through husks), the silk inoculation technique, and infesting corn ears with insect larvae infected with A. flavus conidia have been tried with varying degrees of success [9, 16]. These methods can each be useful, however, clarity must exist as to the actual resistance trait to be measured (e.g. husk tightness; silk traits; the kernel pericarp barrier; wounded kernel resistance), before an appropriate technique can be employed. Silk inoculation, however, (possibly more dependent upon the plant’s physiological stage and/or environmental conditions) has proven to be the most inconsistent of the inoculation methods [17].
Plating kernels to determine the frequency of kernel infection and examining kernels for emission of a bright greenish-yellow fluorescence (BGYF) are methods that have been used for assessing A. flavus infection [15]. While both methods can indicate the presence of A.\n\t\t\t\t\tflavus in seed, neither can provide the kind of accurate quantitative or tissue-localization data useful for effective resistance breeding. Several protocols have been developed and used for separation and relatively accurate quantification of aflatoxins [18].
2.2. Early identification of resistant maize lines
Two resistant inbreds (Mp420 and Mp313E) were discovered and tested in field trials at different locations and released as sources of resistant germplasm [11, 19]. The pinbar inoculation technique was one of the methods employed in the initial trials, and contributed towards the separation of resistant from susceptible lines [11]. Several other inbreds, demonstrating resistance to aflatoxin contamination in Illinois field trials (employing a modified pinbar technique) also were discovered [12]. Another source of resistance discovered was the maize breeding population, GT-MAS:gk. This population was derived from visibly classified segregating kernels, obtained from a single fungus-infected hybrid ear [10]. It tested resistant in trials conducted over a five year period, where a kernel knife inoculation technique was employed.
These discoveries of resistant germplasm may have been facilitated by the use of inoculation techniques capable of repeatedly providing high infection/aflatoxin levels for genotype separation to occur. While these maize lines do not generally possess commercially acceptable agronomic traits, they may be invaluable sources of resistance genes, and as such, provide a basis for the rapid development of host resistance strategies to eliminate aflatoxin contamination.
3. Investigations of resistance mechanisms/traits in maize lines
3.1. Molecular genetic investigations of aflatoxin-resistant lines
Chromosome regions associated with resistance to A. flavus and inhibition of aflatoxin production in maize have been identified through Restriction Fragment Length Polymorphism (RFLP) analysis in three “resistant” lines (R001, LB31, and Tex6) in an Illinois breeding program, after mapping populations were developed using B73 and/or Mo17 elite inbreds as the “susceptible” parents [20, 21]. Chromosome regions associated with inhibition of aflatoxin in studies considering all 3 resistant lines demonstrated that there are some regions in common. Regions on chromosome arms 2L, 3L, 4S, and 8S may prove promising for improving resistance through marker assisted breeding into commercial lines [21]. In some cases, chromosomal regions were associated with resistance to Aspergillus ear rot and not aflatoxin inhibition, and vice versa, whereas others were found to be associated with both traits. This suggests that these two traits may be at least partially under separate genetic control. QTL studies involving other populations have identified chromosome regions associated with low aflatoxin accumulation.
In a study involving 2 populations from Tex6 x B73, conducted in 1996 and 1997, promising QTLs for low aflatoxin were detected in bins 3.05-6, 4.07-8, 5.01-2, 5.05-5, and 10.05-10.07 [22]. Environment strongly influenced detection of QTLs for lower toxin in different years; QTLs for lower aflatoxin were attributed to both parental sources. In a study involving a cross between B73 and resistant inbred Oh516, QTL associated with reduced aflatoxin were identified on chromosomes 2, 3 and 7 (bins 2.01 to 2.03, 2.08, 3.08, and 7.06) [23]. QTLs contributing resistance to aflatoxin accumulation were also identified using a population created by B73 and resistant inbred Mp313E, on chromosome 4 of Mp313E [24]. This confirmed the findings of an earlier study involving Mp313E and susceptible Va35 [25]. Another QTL in this study, which has similar effects to that on chromosome 4, was identified on chromosome 2 [24]. A recent study to identify aflatoxin-resistance QTL and linked markers for marker-assisted breeding was conducted using a population developed from Mp717, an aflatoxin-resistant maize inbred, and NC300, a susceptible inbred adapted to the southern U.S. QTL were identified on all chromosomes, except 4, 6, and 9; individual QTL accounted for up to 11% of phenotypic variance in aflatoxin accumulation [26]. Lastly, in a study of population of F2:3 families developed from resistant Mp715 and a southern-adapted susceptible, T173, QTL with phenotypic effects up to 18.5% were identified in multiple years on chromosomes 1, 3, 5, and 10 [27].
A number of genes corresponding to resistance-associated proteins (RAPs), that were identified in proteomics studies (see section 3.5.1 below) have been mapped to chromosomal location using the genetic sequence of B73 now available online (http://archive.maizesequence.org/index.html) [28]. Using the DNA sequence of the RAPs and blasting them against the B73 sequence allowed us to place each gene into a virtual bin, allowing us to pinpoint the chromosomal location to which each gene maps. The chromosomes involved include the above-mentioned chromosomes 1, 2, 3, 7, 8 and 10, some in bins closely located to those described above. Another study also mapped RAPs to bins on the above-chromosomes as well as chromosomes 4 and 9 [29].
3.2. Kernel pericarp wax
Kernel pericarp wax of maize breeding population GT-MAS:gk has been associated with resistance to Aspergillus flavus infection /aflatoxin production. Previously, kernel wax of GT-MAS:gk was compared to that of 3 susceptible genotypes. Thin layer chromatography (TLC) of wax from these genotypes showed a band unique to GT-MAS:gk and a band unique to the three susceptible lines [30]. GT-MAS:gk kernel wax also was shown to inhibit A. flavus growth. A later investigation compared GT-MAS:gk wax resistance-associated traits to that of twelve susceptible maize genotypes [31]. TLC results of wax from these lines confirmed findings of the previous investigation, demonstrating both the unique GT-MAS:gk TLC band and the unique ‘susceptible’ band. Gas chromatography/mass spectroscopy (GC/MS) analysis of the whole wax component showed a higher percentage of phenol-like compounds in the resistant genotype than in the susceptibles. Alkylresorcinol content was dramatically higher in GT-MAS:gk wax than in susceptible lines. An alkylresorcinol, 5-methylresorcinol, also inhibited in vitro growth of A. flavus. Further research is needed for a clear identification of the component(s) responsible for kernel wax resistance and to determine its expression level in other maize lines.
3.3. Two levels of resistance
The KSA employs a very simple and inexpensive apparatus involving bioassay trays, petri dishes, vial caps as seed containers, and chromatography paper for holding moisture [14]. Kernels screened by the KSA are maintained in 100% humidity, at a temperature favoring A. flavus (31° C) growth and aflatoxin production, and are usually incubated for seven days. Aflatoxin data from KSA experiments can be obtained two to three weeks after experiments are initiated. KSA experiments confirmed GT-MAS:gk resistance to aflatoxin production and demonstrated that it is maintained even when the pericarp barrier, in otherwise viable kernels, is breached [13]. Penetration through the pericarp barrier was achieved by wounding the kernel with a hypodermic needle down to the endosperm, prior to inoculation. Wounding facilitates differentiation between different resistance mechanisms in operation, and the manipulation of aflatoxin levels in kernels for comparison with other traits (e.g. fungal growth; protein induction). The results of this study indicate the presence of two levels of resistance: at the pericarp and at the subpericarp level. The former was supported by the above-studies which demonstrated a role for pericarp waxes in kernel resistance [30], and highlighted quantitative and qualitative differences in pericarp wax between GT-MAS:gk and susceptible genotypes [31, 32].
3.4. Comparing fungal growth to toxin production
When selected resistant Illinois maize inbreds (MI82, CI2, and T115) were examined by the KSA, modified to include an A. flavus GUS transformant (a strain genetically engineered with a gene construct consisting of a β-glucuronidase reporter gene linked to an A. flavus beta-tubulin gene promoter for monitoring fungal growth) [14], kernel resistance to fungal infection in nonwounded and wounded kernels was demonstrated both visually and quantitatively, as was a positive relationship between the degree of fungal infection and aflatoxin levels [14, 33]. This made it possible assess fungal infection levels and to determine if a correlation exists between infection and aflatoxin levels in the same kernels. A. flavus GUS transformants with the reporter gene linked to an aflatoxin biosynthetic pathway gene could also provide a way to indirectly measure aflatoxin levels [34-36], based on the extent of the expression of the pathway gene.
Recently, It was demonstrated, using the KSA and an F. moniliforme strain, genetically transformed with a GUS reporter gene linked to an A. flavus β-tubulin gene promoter, that the aflatoxin-resistant genotype, GT-MAS:gk, inhibits growth of F. moniliforme as well [37]. This indicates that some resistance mechanisms may be generic for ear rotting/mycotoxigenic fungi.
A more recent use of reporter genes was performed on cotton using a green fluorescent protein reporter; a GFP-expressing A. flavus strain to successfully monitor fungal growth, mode of entry, colonization of cottonseeds, and production of aflatoxins [38]. This strain provides for an easy, potentially non-destructive, rapid and economical assay which can be done in real time, and may constitute an advance over GUS transformants.
3.5. Resistance-associated proteins
Developing resistance to fungal infection in wounded as well as intact kernels would go a long way toward solving the aflatoxin problem [17]. Studies demonstrating subpericarp (wounded-kernel) resistance in maize kernels have led to research for identification of subpericarp resistance mechanisms. Examinations of kernel proteins of several genotypes revealed differences between genotypes resistant and susceptible to aflatoxin contamination [39]. Imbibed susceptible kernels, for example, showed decreased aflatoxin levels and contained germination-induced ribosome inactivating protein (RIP) and zeamatin [40]. Both zeamatin and RIP have been shown to inhibit A. flavus growth in vitro [40]. In another study, two kernel proteins were identified from a resistant corn inbred (Tex6) which may contribute to resistance to aflatoxin contamination [41]. One protein, 28 kDa in size, inhibited A. flavus growth, while a second, over 100 kDa in size, primarily inhibited toxin formation. When a commercial corn hybrid was inoculated with aflatoxin and nonaflatoxin-producing strains of A. flavus at milk stage, one induced chitinase and one ß-1,3-glucanase isoform was detected in maturing infected kernels, while another isoform was detected in maturing uninfected kernels [42].
In another investigation, an examination of kernel protein profiles of 13 maize genotypes revealed that a 14 kDa trypsin inhibitor protein (TI) is present at relatively high concentrations in seven resistant maize lines, but at low concentrations or is absent in six susceptible lines [43]. The mode of action of TI against fungal growth may be partially due to its inhibition of fungal -amylase, limiting A. flavus access to simple sugars [44] required not only for fungal growth, but also for toxin production [45]. TI also demonstrated antifungal activity against other mycotoxigenic species [46]. The identification of these proteins may provide markers for plant breeders, and may facilitate the cloning and introduction of antifungal genes through genetic engineering into other aflatoxin-susceptible crops.
An investigation into maize kernel resistance [47] determined that both constitutive and induced proteins are required for resistance to aflatoxin production. It also showed that one major difference between resistant and susceptible genotypes is that resistant lines constitutively express higher levels of antifungal proteins compared to susceptible lines. The real function of these high levels of constitutive antifungal proteins may be to delay fungal invasion, and consequent aflatoxin formation, until other antifungal proteins can be synthesized to form an active defense system.
3.5.1. Proteomic analysis
Two-dimensional (2-D) gel electrophoresis, which sorts proteins according to two independent properties, isoelectric points and then molecular weights, has been recognized for a number of years as a powerful biochemical separation technique. Improvements in map resolution and reproducibility [48, 49], rapid analysis of proteins, analytical soft ware and computers, and the acquisition of genomic data for a number of organisms has given rise to another application of 2-D electrophoresis: proteome analysis. Proteome analysis or “proteomics” is the analysis of the protein complement of a genome [50, 51]. This involves the systematic separation, identification, and quantification of many proteins simultaneously. 2-D electrophoresis is also unique in its ability to detect post- and cotranslational modifications, which cannot be predicted from the genome sequence.
Through proteome analysis and the subtractive approach, it may be possible to identify important protein markers associated with resistance, as well as genes encoding these proteins. This could facilitate marker-assisted breeding and/or genetic engineering efforts. Endosperm and embryo proteins from several resistant and susceptible genotypes have been compared using large format 2-D gel electrophoresis, and over a dozen such protein spots, either unique or 5-fold upregulated in resistant maize lines (Mp420 and Mp313E), have been identified, isolated from preparative 2-D gels and analyzed using ESI-MS/MS after in-gel digestion with trypsin [52, 53]. These proteins, all constitutively expressed, can be grouped into three categories based on their peptide sequence homology: (1) storage proteins, such as globulins and late embryogenesis abundant proteins; (2) stress-responsive proteins, such as aldose reductase, a glyoxalase I protein and a 16.9 kDa heat shock protein, and (3) antifungal proteins, including the above-described TI.
During the screening of progeny developed through the IITA-USDA/ARS collaborative project, near-isogenic lines from the same backcross differing significantly in aflatoxin accumulation were identified, and proteome analysis of these lines is being conducted [54]. Investigating corn lines from the same cross with contrasting reaction to A. flavus should enhance the identification of RAPs clearly without the confounding effect of differences in the genetic backgrounds of the lines.
Heretofore, most RAPs identified have had antifungal activities. However, increased temperatures and drought, which often occur together, are major factors associated with aflatoxin contamination of maize kernels [55]. It has also been found that drought stress imposed during grain filling reduces dry matter accumulation in kernels [55]. This often leads to cracks in the seed and provides an easy entry site to fungi and insects. Possession of unique or of higher levels of hydrophilic storage or stress-related proteins, such as the aforementioned, may put resistant lines in an advantageous position over susceptible genotypes in the ability to synthesize proteins and defend against pathogens under stress conditions. Further studies including physiological and biochemical characterization, genetic mapping, plant transformation using RAP genes, and marker-assisted breeding should clarify the roles of stress-related RAPs in kernel resistance. RNAi gene silencing experiments involving RAPs may also contribute valuable information. [54].
3.5.2. Further characterization of RAPs
A literature review of the RAPs identified above indicates that storage and stress-related proteins may play important roles in enhancing stress tolerance of host plants. The expression of storage protein GLB1 and LEA3 has been reported to be stress-responsive and ABA-dependant [56]. Transgenic rice overexpressing a barley LEA3 protein HVA1 showed significantly increased tolerance to water deficit and salinity [57]. The role of GLX I in stress-tolerance was first highlighted in an earlier study using transgenic tobacco plants overexpressing a Brassica juncea glyoxalase I [58]. The substrate for glyoxalase I, methylglyoxal, is a potent cytotoxic compound produced spontaneously in all organisms under physiological conditions from glycolysis and photosynthesis intermediates, glyceraldehydes-3-phosphate and dihydroxyacetone phosphate. Methylglyoxal is an aflatoxin inducer even at low concentrations; experimental evidence indicates that induction is through upregulation of aflatoxin biosynthetic pathway transcripts including the AFLR regulatory gene [59]. Therefore, glyoxalase I may be directly affecting resistance by removing its aflatoxin-inducing substrate, methylglyoxal. PER1, a 1-cys peroxiredoxin antioxidant identified in a proteomics investigation [60], was demonstrated to be an abundant peroxidase, and may play a role in the removal of reactive oxygen species. The PER1 protein overexpressed in Escherichia coli demonstrated peroxidase activity in vitro. It is possibly involved in removing reactive oxygen species produced when maize is under stress conditions [60]. Another RAP that has been characterized further is the pathogenesis-related protein 10 (PR10). It showed high homology to PR10 from rice (85.6% identical) and sorghum (81.4% identical). It also shares 51.9% identity to intracellular pathogenesis-related proteins from lily (AAF21625) and asparagus (CAA10720), and low homology to a RNase from ginseng [61]. The PR10 overexpressed in E. coli exhibited ribonucleolytic and antifungal activities. In addition, an increase in the antifungal activity against A. flavus growth was observed in the leaf extracts of transgenic tobacco plants expressing maize PR10 gene compared to the control leaf extract [61]. This evidence suggests that PR10 plays a role in kernel resistance by inhibiting fungal growth of A. flavus. Further, its expression during kernel development was induced in the resistant line GT-MAS:gk, but not in susceptible Mo17 in response to fungal inoculation [61]. Recently, a new PR10 homologue was identified from maize (PR10.1) [62]. PR10 was expressed at higher levels in all tissues compared to PR10.1, however, purified PR10.1 overexpressed in E. coli possessed 8-fold higher specific RNase activity than PR10 [62]. This homologue may also play a role in resistance. Evidence supporting a role for PR10 in host resistance is also accumulating in other plants. A barley PR10 gene was found to be specifically induced in resistant cultivars upon infection by Rhynchosporium secalis, but not in near-isogenic susceptible plants [63]. In cowpea, a PR10 homolog was specifically up-regulated in resistant epidermal cells inoculated with the rust fungus Uromyces vignae Barclay [64]. A PR10 transcript was also induced in rice during infection by Magnaporthe grisea [65].
To directly demonstrate whether selected RAPs play a key role in host resistance against A. flavus infection, an RNA interference (RNAi) vector to silence the expression of endogenous RAP genes (such as PR10, GLX I and TI) in maize through genetic engineering was constructed [59, 66]. The degree of silencing using RNAi constructs is greater than that obtained using either co-suppression or antisense constructs, especially when an intron is included [67]. Interference of double-stranded RNA with expression of specific genes has been widely described [68, 69]. Although the mechanism is still not well understood, RNAi provides an extremely powerful tool to study functions of unknown genes in many organisms. This posttranscriptional gene silencing (PTGS) is a sequence-specific RNA degradation process triggered by a dsRNA, which propagates systemically throughout the plant, leading to the degradation of homologous RNA encoded by endogenous genes, and transgenes. Both particle bombardment and Agrobacterium-mediated transformation methods were used to introduce the RNAi vectors into immature maize embryos. The former was used to provide a quick assessment of the efficacy of the RNAi vector in gene silencing. The latter, which can produce transgenic materials with fewer copies of foreign genes and is easier to regenerate, was chosen for generating transgenic kernels for evaluation of changes in aflatoxin-resistance. It was demonstrated using callus clones from particle bombardment that PR10 expression was reduced by an average of over 90% after the introduction of the RNAi vector [66]. The transgenic kernels also showed a significant increase in susceptibility to A. flavus infection and aflatoxin production. The data from this RNAi study clearly demonstrated a direct role for PR10 in maize host resistance to A. flavus infection and aflatoxin contamination [66]. RNAi vectors to silence other RAP genes, such as GLX I and TI, have also been constructed, and introduced into immature maize embryos through both bombardment and Agrobacterium infection [70]. It will be very interesting to see the effect of silencing the expression of these genes in the transgenic kernels on host resistance to A. flavus infection and aflatoxin production.
ZmCORp, a protein with a sequence similar to cold-regulated protein and identified in the above-proteomic studies, was shown to exhibit lectin-like hemagglutination activity against fungal conidia and sheep erythrocytes [71]. When tested against A. flavus, ZmCORp inhibited germination of conidia by 80% and decreased mycelial growth by 50%, when germinated conidia were incubated with the protein. Quantitative real-time RT-PCR revealed ZmCORp to be expressed 50% more in kernels of a resistant maize line versus a susceptible.
ZmTIp, a 10 kDa trypsin inhibitor, had an impact on A. flavus growth, but not as great as the previously-mentioned 14 kDa TI [72].
3.5.3. Proteomic studies of rachis and silk tissue
A study was conducted to investigate the proteome of rachis tissue, maternal tissue that supplies nutrients to the kernels [75]. An interesting finding in this study is that after infection by A. flavus, rachis tissue of aflatoxin-resistant genotypes did not up-regulate PR proteins as these were already high in controls where they had strongly and constitutively accumulated during maturation. However, rachis tissue of aflatoxin-susceptible lines did not accumulate PR proteins to such an extent during maturation, but increased them in response to fungal infection. Given the relationship of the rachis to kernels, these results confirm findings of a previous investigation [47], which demonstrated levels of proteins in resistant versus susceptible kernels was a primary factor that determined kernel genetic resistance to aflatoxin contamination. Another study was conducted to identify proteins in maize silks that may be contributing to resistance against A. flavus infection/colonization [76]. Antifungal bioassays were performed using silk extracts from two aflatoxin-resistant and two–susceptible inbred lines. Silk extracts from resistant inbreds showed greater anti-fungal activity compared to susceptible inbreds. Comparative proteomic analysis of the two resistant and susceptible inbreds led to the identification of antifungal proteins including three chitinases that were differentially-expressed in resistant lines. When tested for chitinase activity, silk proteins from extracts of resistant lines also showed significantly higher chitinase activity than that from susceptible lines. Differential expression of chitinases in maize resistant and susceptible inbred silks suggests that these proteins may contribute to resistance.
3.5.4. Transcriptomic analyses
To investigate gene expression in response to A. flavus’ infection and to more thoroughly identify factors potentially involved in the regulation of RAP genes, a transcriptomic profile was conducted on maize kernels of two inbred lines that were genetically closely-related [73]. Similar work had previously been performed using Tex6 as the resistant line and B73 as the susceptible [74], however, in the study using closely-related lines, imbibed mature kernels were used (for the first time) and proved to be a quicker and easier approach than traditional approaches. The involvement of certain stress-related and antifungal genes previously shown to be associated with constitutive resistance was demonstrated here; a kinase-binding protein, Xa21 was highly up-regulated in the resistant line compared to the susceptible, both constitutively and in the inducible state.
4. Current efforts to develop resistant lines
4.1. Closely-related lines
Recently, the screening of progeny generated through a collaborative breeding program between IITA-Nigeria (International Institute of Tropical Agriculture) and the Southern Regional Research Center of USDA-ARS in Center (SRRC) of USDA-ARS in New Orleans facilitated the identification of closely-related lines from the same backcross differing significantly in aflatoxin accumulation, and proteome analysis of these lines is being conducted [77, 78]. Investigating corn lines sharing close genetic backgrounds should enhance the identification of RAPs without the confounding effects experienced with lines of diverse genetic backgrounds. The IITA-SRRC collaboration has attempted to combine resistance traits of U.S. resistant inbred lines with those of African lines, originally selected for resistance to ear rot diseases and for potential aflatoxin-resistance (via KSA) [77, 78]. Five elite tropical inbred lines from IITA adapted to the Savanna and mid-altitude ecological zones of West and Central Africa were crossed with four U.S. resistant maize lines in Ibadan, Nigeria. The five African lines were originally selected for their resistance to ear rot caused by Aspergillus, Botrydiplodia, Diplodia, Fusarium, and Macropomina [77, 78]. The F1 crosses were backcrossed to their respective U.S. inbred lines and self-pollinated thereafter. The resulting lines were selected through the S4 generation for resistance to foliar diseases and desirable agronomic characteristics under conditions of severe natural infection in their respective areas of adaptation. Promising S5 lines were screened with the KSA (Table 1). In total, five pairs of closely-related lines were shown to be significantly different in aflatoxin resistance, while sharing as high as 97% genetic similarity [79]. Using these lines in proteomic comparisons to identify RAPs has advantages: (1) gel comparisons and analyses become easier; and (2) protein differences between resistant and susceptible lines as low as twofold can be identified with confidence. In addition, the likelihood of identifying proteins that are directly involved in host resistance is increased. In a preliminary proteomics comparison of constitutive protein differences between those African closely-related lines, a new category of resistance-associated proteins (putative regulatory proteins) was identified, including a serine/threonine protein kinase and a translation initiation factor 5A [29, 79]. The genes encoding these two resistance associated regulatory proteins are being cloned and their potential role in host resistance to A. flavus infection and aflatoxin production will be further investigated. Conducting proteomic analyses using lines from this program not only enhances chances of identifying genes important to resistance, but may have immediate practical value. The IITA-SRRC collaboration has registered and released six inbred lines with aflatoxin-resistance in good agronomic backgrounds, which also demonstrate good levels of resistance to southern corn blight and southern corn rust [80]. Resistance field trials for these lines on U.S. soil is being conducted; the ability to use resistance in these lines commercially will depend on having identified excellent markers, since seed companies desire insurance against the transfer of undesirable traits into their elite genetic backgrounds. The fact that this resistance is coming from good genetic backgrounds is also a safeguard against the transfer of undesirable traits.
\n\t\t
\n\t\t
\n\t\t
\n\t\t\t
\n\t\t\t\tEntry\n\t\t\t
\n\t\t\t
\n\t\t\t\tAflatoxin B1 (ppb)\n\t\t\t
\n\t\t
\n\t\t
\n\t\t\t
Susceptible control
\n\t\t\t
10197 a
\n\t\t
\n\t\t
\n\t\t\t
22*
\n\t\t\t
1693 b
\n\t\t
\n\t\t
\n\t\t\t
19
\n\t\t\t
1284 bc
\n\t\t
\n\t\t
\n\t\t\t
28
\n\t\t\t
1605 bcd
\n\t\t
\n\t\t
\n\t\t\t
27
\n\t\t\t
1025 bcd
\n\t\t
\n\t\t
\n\t\t\t
21
\n\t\t\t
1072 bcd
\n\t\t
\n\t\t
\n\t\t\t
26
\n\t\t\t
793 bcde
\n\t\t
\n\t\t
\n\t\t\t
20
\n\t\t\t
574 cde
\n\t\t
\n\t\t
\n\t\t\t
24
\n\t\t\t
399 cde
\n\t\t
\n\t\t
\n\t\t\t
GT-MAS:gk
\n\t\t\t
338 de
\n\t\t
\n\t\t
\n\t\t\t
25*
\n\t\t\t
228 e
\n\t\t
\n\t\t
\n\t\t\t
23
\n\t\t\t
197 e
\n\t\t
\n\t\t
\n\t\t\t
Resistant control
\n\t\t\t
76 e
\n\t\t
\n\t
Table 1.
KSA screening of IITA-SRRC maize breeding materials which identified 2 closely related lines (87.5% genetic similarity), #22 and #25, from parental cross (GT-MASgk x Ku1414SR) x GT-MAS:gk; these contrast significantly in aflatoxin accumulation. Values followed by the same letter are not significantly different by the least significant difference test (P = 0.05).
4.2. Recent breeding efforts
Recent breeding efforts towards the development of aflatoxin-resistant maize lines has resulted in a number of germplasm releases including the above-mentioned IITA-SRRC inbreds. In 2008, TZAR 101-106, derived from a combination of African and southern-adapted U.S. lines are being field-tested in different parts of the Southern U.S. (Figure 1) [80]. These have also exhibited resistance to lodging and common foliar diseases. GT-603 was released in 2011, after having been derived from GT-MAS:gk [81], while Mp-718 and Mp-719 were released as southern adapted resistant lines which are both shorter and earlier than previous Mp lines [82, 83]. These lines are also being tested as inbreds and in hybrid combinations in the southern U.S. [83].
Figure 1.
Inoculation of maize ears with Aspergillus flavus spores using a ‘side needle’ wound technique for field evaluations of TZAR lines developed through IITA-SRRC program.
5. Conclusion
The host resistance approach to eliminating aflatoxin contamination of maize has been advanced forward by the identification/development of maize lines with resistance to aflatoxin accumulation. However, to fully exploit the resistance discovered in these lines, markers must be identified to transfer resistance to commercially useful backgrounds. Towards this goal numerous investigations have been undertaken to discover the factors that contribute to resistance, laying the basis for exploiting these discoveries as well. These investigations include QTL analyses to locate regions of chromosomes associated with the resistant phenotype, and the discovery of kernel resistance-related traits. We now know that there are two levels of resistance in kernels, pericarp and subpericarp. Also, there is a two-phased kernel resistance response to fungal attack: constitutive at the time of fungal attack and that which is induced by the attack. Thus far, it’s been demonstrated that natural resistance mechanisms discovered are antifungal in nature as opposed to inhibiting the aflatoxin biosynthetic pathway.
One of the most important discoveries, thus far, has been that of resistance-associated proteins or RAPs. Due to the significance of the constitutive response, constitutive RAPs were investigated first, although induced proteins are being studied as well. Investigations of other tissues such as rachis and silks begin to provide a more complete picture of the maize resistance response to aflatoxigenic fungi. RAP characterization studies provide greater evidence that these proteins are important to resistance, although clearly, more investigations are needed. Looking at data collectively that’s been obtained from different types of studies may enhance the identification of markers for breeding. A good example of this may be the supporting evidence provided by QTL data to proteomic and RAP characterization data suggesting the involvement of 14 kDa TI, water stress inducible protein, zeamatin, heat shock, cold-regulated, glyoxalase I, cupin-domain and PR10 proteins in aflatoxin-resistance. It will be interesting to determine if this marker discovery approach can lead to the successful transfer of a multigene-based and quantitative phenomenon such as aflatoxin-resistance to commercially-useful genetic backgrounds.
Acknowledgments
Research discussed in this review received support from the USAID Linkage Program-IITA, Nigeria, and the USDA-ARS Office of International Research Programs (OIRP) -USAID Collaborative Support Program.
\n',keywords:null,chapterPDFUrl:"https://cdn.intechopen.com/pdfs/41479.pdf",chapterXML:"https://mts.intechopen.com/source/xml/41479.xml",downloadPdfUrl:"/chapter/pdf-download/41479",previewPdfUrl:"/chapter/pdf-preview/41479",totalDownloads:2268,totalViews:212,totalCrossrefCites:1,totalDimensionsCites:7,totalAltmetricsMentions:0,impactScore:2,impactScorePercentile:76,impactScoreQuartile:4,hasAltmetrics:0,dateSubmitted:"March 1st 2012",dateReviewed:null,datePrePublished:null,datePublished:"January 23rd 2013",dateFinished:"December 12th 2012",readingETA:"0",abstract:null,reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/41479",risUrl:"/chapter/ris/41479",book:{id:"3109",slug:"aflatoxins-recent-advances-and-future-prospects"},signatures:"Robert L. Brown, Deepak Bhatnagar, Thomas E. Cleveland, Zhi-Yuan Chen and Abebe Menkir",authors:[{id:"46479",title:"Dr.",name:"Robert",middleName:"Lawrence",surname:"Brown",fullName:"Robert Brown",slug:"robert-brown",email:"Robert.Brown@ars.usda.gov",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"136752",title:"Prof.",name:"Abebe",middleName:null,surname:"Menkir",fullName:"Abebe Menkir",slug:"abebe-menkir",email:"a.menkir@cgiar.org",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"International Institute of Tropical Agriculture",institutionURL:null,country:{name:"Benin"}}},{id:"136753",title:"Prof.",name:"Zhi-Yuan",middleName:null,surname:"Chen",fullName:"Zhi-Yuan Chen",slug:"zhi-yuan-chen",email:"ZChen@agcenter.lsu.edu",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Louisiana State University",institutionURL:null,country:{name:"United States of America"}}}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Discovery of aflatoxin-resistance",level:"1"},{id:"sec_2_2",title:"2.1. Traditional screening techniques",level:"2"},{id:"sec_3_2",title:"2.2. Early identification of resistant maize lines ",level:"2"},{id:"sec_5",title:"3. Investigations of resistance mechanisms/traits in maize lines",level:"1"},{id:"sec_5_2",title:"3.1. Molecular genetic investigations of aflatoxin-resistant lines",level:"2"},{id:"sec_6_2",title:"3.2. Kernel pericarp wax ",level:"2"},{id:"sec_7_2",title:"3.3. Two levels of resistance",level:"2"},{id:"sec_8_2",title:"3.4. Comparing fungal growth to toxin production",level:"2"},{id:"sec_9_2",title:"3.5. Resistance-associated proteins ",level:"2"},{id:"sec_9_3",title:"3.5.1. Proteomic analysis ",level:"3"},{id:"sec_10_3",title:"3.5.2. Further characterization of RAPs ",level:"3"},{id:"sec_11_3",title:"3.5.3. Proteomic studies of rachis and silk tissue ",level:"3"},{id:"sec_12_3",title:"3.5.4. Transcriptomic analyses",level:"3"},{id:"sec_15",title:"4. Current efforts to develop resistant lines",level:"1"},{id:"sec_15_2",title:"4.1. Closely-related lines",level:"2"},{id:"sec_16_2",title:"4.2. Recent breeding efforts ",level:"2"},{id:"sec_18",title:"5. Conclusion",level:"1"},{id:"sec_19",title:"Acknowledgments",level:"1"},{id:"sec_19",title:"Acknowledgments",level:"2"}],chapterReferences:[{id:"B1",body:'Brown RL., Bhatnagar D., Cleveland TE., Cary JW. Recent Advances in Preventing Mycotoxin Contamination. In: Sinha KK., Bhatnagar D. (eds) Mycotoxins in Agriculture and Food Safety, Marcel Dekker: New York, NY, USA; 1998. p351-379.'},{id:"B2",body:'Dorner JW., Cole RJ., Wicklow DT. Aflatoxin Reduction in Maize through Field Application of Competitive Fungi. Journal of Food Protection 1999; 62 650–656.'},{id:"B3",body:'CAST. 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Isoform Patterns of Chitinase and β-1,3-glucanase in Maturing Maize Kernels (Zea mays L.) Associated with Aspergillus flavus Milk Stage Infection. Journal of Agricultural and Food Chemistry 2000; 48 507–511. '},{id:"B43",body:'Chen Z-Y., Brown RL., Lax AR., Guo BZ., Cleveland TE., Russin JS. Resistance to Aspergillus flavus in Maize Kernels is Associated with a 14 kDa Protein. Phytopathology 1998; 88 276–281. '},{id:"B44",body:'Chen Z-Y., Brown RL., Russin JS., Lax AR., Cleveland TE (1999b). A Maize Trypsin Inhibitor with Antifungal Activity Inhibits Aspergillus flavus α-amylase. Phytopathology 1996b; 89 902–907. '},{id:"B45",body:'Woloshuk CP., Cavaletto JR., Cleveland TE. Inducers of Aflatoxin Biosynthesis from Colonized Maize Kernels are Generated by an Amylase Activity from Aspergillus flavus. Phytopathology 1997; 87 164–169. '},{id:"B46",body:'Chen Z-Y., Brown RL., Lax AR., Cleveland TE., Russin JS. Inhibition Plant Pathogenic Fungi by a Maize Trypsin Inhibitor Over-Expressed in Escherichia coli. Applied and Environmental Microbiology 1999a; 65 1320–1324. '},{id:"B47",body:'Chen ZY., Brown RL., Cleveland TE., Damann KE., Russin JS. Comparison of Constitutive and Inducible Maize Kernel Proteins of Genotypes Resistant or Susceptible to Aflatoxin Production. Journal of Food Protection 2001; 64 1785–1792. '},{id:"B48",body:'Gorg A., Postel W., Gunther S., Weser J., Improved Horizontal Two-Dimensional Electrophoresis with Hybrid Isoelectric Focusing in Immobilized pH Gradients in the First Dimension and Laying-On Transfer to the Second Dimension. Electrophoresis 1985; 6 599-604. '},{id:"B49",body:'Gorg A., Postel W., Gunther S.,The Current State of Two-Dimensional Electrophoresis with Immobilized pH Gradients. Electrophoresis 1988; 9 531-546.'},{id:"B50",body:'Pennington SR., Wilkins MR., Hochstrasser DF., Dunn MJ. Proteome Analysis: From Protein Characterization to Biological Function. Trends in Cell Biology 1997; 7 168-173.'},{id:"B51",body:'Wilkins MR., Pasquali C., Appel RD., Ou K., Golaz O., Sanchez JC., Yan JX., Gooley AA., Hughes G., Humphrey-Smith I., Williams KL., Hochstrasser DF. From Proteins to Proteomes: Large-Scale Protein Identification by Two-Dimensional Electrophoresis and Amino Acid Analysis. Biotechnology 1996; 14 61-65.'},{id:"B52",body:' Chen Z-Y., Brown RL., Damann KE., Cleveland TE. 2000. Proteomics analysis of kernel embryo and endosperm proteins of corn genotypes resistant or susceptible to Aspergillus flavus infection. In: Proceedings of the USDA-ARS Aflatoxin Elimination Workshop, 2000; pp. 88.'},{id:"B53",body:'Chen Z-Y., Brown R.L., Damann K.E., Cleveland T.E. Identification of Unique or Elevated Levels of Kernel Proteins in Aflatoxin-Resistant Maize Genotypes through Proteome Analysis. Phytopathology 2002; 92 1084–1094. '},{id:"B54",body:'Brown RL., Chen Z-Y., Menkir A., Cleveland TE. Using biotechnology to enhance host resistance to aflatoxin contamination of corn. African Journal of Biotechnology 2003b; 2 557-562. '},{id:"B55",body:'Payne GA. Process of Contamination by Aflatoxin-Producing Fungi and Their Impact on Crops. In: Sinha KK., Bhatnagar D. (eds), Mycotoxins in Agriculture and Food Safety. Marcel Dekker, New York, NY, USA, 1998; pp. 279-306.'},{id:"B56",body:'Thomann E.B., Sollinger J., White C., Rivin C.J. Accumulation of Group 3 Late Embryogenesis Abundant Proteins in Zea mays Embryos. Plant Physiology 1992; 99 607–614.'},{id:"B57",body:'Xu D., Duan X., Wang B., Hong B., Ho THD., Wu R. Expression of a Late Embryogenesis Abundant Protein Gene HVA1, from Barley Confers Tolerance to Water Deficit and Salt Stress in Transgenic Rice. Plant Physiology 1996; 110 249–257.'},{id:"B58",body:'Veena V., Reddy S., Sopory SK. Glyoxalase I from Brassica juncea: Molecular Cloning, Regulation and Its Over-expression Confer Tolerance in Transgenic Tobacco under Stress. Plant Journal 1999; 17 385–395.'},{id:"B59",body:'Chen ZY., Brown RL., Damann KE., Cleveland TE. Identification of a Maize Kernel Stress-Related Protein and Its Effect on Aflatoxin Accumulation. Phytopathology 2004; 94 938–945.'},{id:"B60",body:'Chen ZY., Brown RL., Damann KE., Cleveland TE. Identification of Maize Kernel Endosperm Proteins Associated with Resistance to Aflatoxin Contamination by Aspergillus flavus. Phytopathology 2007; 97 1094–1103.'},{id:"B61",body:'Chen Z.Y., Brown RL., Rajasekaran K., Damann KE., Cleveland TE. Evidence for Involvement of a Pathogenesis-Related Protein in Maize Resistance to Aspergillus flavus Infection/Aflatoxin Production. Phytopathology 2006; 96 87–95.\t'},{id:"B62",body:'Xie YR., Chen Z-Y., Brown RL., Bhatnagar D. Expression and Functional Characterization of Two Pathogenesis-Related Protein10 Genes from Zea mays. Journal of Plant Physiology 2010; 167 121–130.'},{id:"B63",body:'Steiner-Lange S., Fischer A., Boettcher A., Rouhara I., Liedgens H., Schmelzer E., Knogge W. Differential Defense Reactions in Leaf Tissues of Barley in Response to infection by Rhynchosporium secalis and to Treatment with a Fungal Avirulence Gene Product. Molecular and Plant-Microbe Interactions 2003; 16 893–902.'},{id:"B64",body:'Mould M.J., Xu T., Barbara M., Iscove NN., Heath MC. cDNAs Generated from Individual Eepidermal Cells Reveal that Differential Gene Expression Predicting Subsequent Resistance or Susceptibility to Rust Fungal Infection Occurs Prior to the Fungus Entering the Cell Lumen. Molecular and Plant-Microbe Interactions 2003; 16 835–845.'},{id:"B65",body:'McGee JD., Hamer JE., Hodges TK. Characterization of a PR-10 Pathogenesis-Related Gene Family Induced in Rice during Infection with Magnaporthe grisea. Molecular and Plant-Microbe Interactions 2001; 14 877–886.'},{id:"B66",body:'Chen Z-Y., Brown RL., Damann KE., Cleveland TE. PR10 Expression in Maize and Its Effect on Host Resistance against Aspergillus flavusIinfection/Aflatoxin Production. Molecular Plant Pathology 2010; 11 69–81.'},{id:"B67",body:'Wesley SV., Helliwell CA., Smith NA., Wang MB., Rouse DT., Liu Q., Gooding PS., Singh SP., Abbott D., Stoutjesdijk PA. Robinson SP., Gleave AP., Green AG., Waterhouse PM. Construct design for efficient, effective and high-throughput gene silencing in plants. Plant Journal 2001; 27 581–590.'},{id:"B68",body:'Fire A. Xu S., Montgomery MK., Kostas SA., Driver SE., Mello CC. Potent and Specific Genetic Interference by Double Stranded RNA in Caenorhabditis elegans. Nature 1998; 391 806–811.'},{id:"B69",body:'Gura T. A silence that speaks volumes. Nature 2000; 404 804–808.'},{id:"B70",body:'Chen Z-Y., Damann KE. Louisiana State University, Baton Rouge, LA; Brown RL., Cleveland TE. USDA-ARS-SRRC New Orleans, LA., Unpublished work. 2007.'},{id:"B71",body:'Baker R., Brown RL., Cleveland TE., Chen Z-Y., Fakhoury A. COR, a Maize Lectin-like Protein with Antifungal Activity against Aspergillus flavus. Journal of Food Protection 2009a; 72 120–127.'},{id:"B72",body:'Baker R., Brown RL., Cleveland TE., Chen Z-Y., Fakhoury A. ZmTI, a Maize Trypsin Inhibitor with Limited Activity against Aspergillus flavus. Journal of Food Protection 2009b; 72 85–188.'},{id:"B73",body:'Luo M., Brown R L., Chen Z-Y., Menkir A., Yu J., Bhatnagar D. Transcriptional Profiles Uncover Aspergillus flavus Induced Resistance in Maize Kernels. Toxins 2011; 3 766-785.'},{id:"B74",body:'Luo M., Liu J., Lee RD., Scully BT., Guo B. Monitoring the Expression of Maize Genes in Developing Kernels under Drought Stress Using Oligo-Microarray. Journal of Integrative Plant Biology 2010; 52(12) 1059-1074.'},{id:"B75",body:'Pechanova O., Pechan T., Williams, WP., Luthe DS. Proteomic Analysis of Maize Rachis: Potential Roles of Constitutive and Induced Proteins in Resistance to Aspergillus flavus Infection and Aflatoxin Contamination. Proteomics 2011; 11 114-127. '},{id:"B76",body:'Peethambaran B., Hawkins L., Windham GL., Williams WP., Luthe DS. Antifungal Activity of Maize Silk Proteins and Role of Chitinases in Aspergillus flavus Resistance. Toxin Reviews 2010; 29 27–39.'},{id:"B77",body:'Brown RL., Chen Z-Y., Menkir A., Cleveland T.E., Cardwell K., Kling, J., White D.G. Resistance to Aflatoxin Accumulation in Kernels of Maize Inbreds Selected for Ear Rot Resistance in West and Central Africa. Journal of Food Protection 2001b; 64 396–400.'},{id:"B78",body:'Menkir A., Brown RL., Bandyopadhyay R.., Chen Z-Y., Cleveland TE. A USA-Africa Collaborative Strategy for Identifying, Characterizing, and Developing Maize Germplasm with Resistance to Aflatoxin Contamination. Mycopathologia 2006; 162 225–232.'},{id:"B79",body:'Chen ZY., Brown RL., Menkir A., Damann KE., Cleveland TE. Proteome Analysis of Near Isogenic Maize Lines Differing in the Level of Resistance against Aspergillus flavus Infection/Aflatoxin Production. Phytopathology 2005; 95 S19.'},{id:"B80",body:'Menkir A., Brown RL., Bandyopadhyay R., Cleveland TE. Registration of Six Tropical Maize Germplasm Lines with Resistance to Aflatoxin Contamination. Journal of Plant Registrations 2008; 2 246–250.'},{id:"B81",body:'Guo BZ., Krakowsky MD., Ni X., Scully BT., Lee RD., Coy AE., Widstrom NW. Registration of Maize Inbred Line GT603. Journal of Plant Registrations 2011; 5(2) 211-214.'},{id:"B82",body:'Williams WP.,Windham GL. Registration of Mp718 and Mp719 Germplasm Lines of Maize. Journal of Plant Registrations 2012; 6 200-202.'},{id:"B83",body:'Scully BT., Guo BZ., Ni X., Williams WP., Henry WB., Krakowsky MD., Brown RL. Development of Aflatoxin and Insect Resistant Corn Inbreds Adapted to the Southern U.S. Proceedings of the Corn Utilization and Technology Workshop, Abstract (in press).'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Robert L. Brown",address:"Robert.brown@ars.usda.gov",affiliation:'
USDA-ARS, Southern Regional Research Center, New Orleans, LA, USA
International Institute of Tropical Agriculture, Ibadan, Nigeria
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1. Introduction
Kidney diseases are a major clinical concern in sickle cell disorders (SCD). Acute kidney injury (AKI) as well as chronic kidney disease (CKD) is associated with higher risk of inpatient mortality, prolonged hospital stay and expensive hospitalizations [1, 2]. While an estimated 100,000 people are affected by SCD in the United States (US) [3, 4, 5], about 20–25 million people are living with SCD worldwide and the number is expected to increase by about 30% globally by 2050 [6]. In the US, the majority of healthcare for SCD is attributed to in-patient hospitalization for acute complications with an estimated annual cost of $953,640 per patient per year [7]. Progressive kidney disease leads to significant morbidity and mortality in both pediatric and adult patients with SCD. Sickle cell nephropathy (SCN) comprehends a spectrum of renal abnormalities that begins in childhood and may progress to advanced renal disorders in adulthood. In contrast to mild renal manifestations of sickle cell nephropathy includes decreased urinary concentrating ability, impaired renal acidification and potassium secretion, hematuria and proteinuria, progressive kidney disease leads to significant morbidity and mortality in both pediatric and adult patients with SCD. Acute Kidney Injury (AKI) causes sudden drop in kidney function and promotes chronic kidney disease (CKD) and end stage renal disease (ESRD) [8, 9, 10]. In SCD, incidences of AKI are common among hospitalized SCD patients [11, 12, 13] and it is associated with increased mortality in those admitted to intensive care unit [14]. It is also an independent risk factor for increase morbidity, longer hospitalizations, and increased costs [15] as well as with risk for CKD progression in SCD [16]. Approximately 30% of SCD individuals develop CKD by adulthood and a large proportion of this sub-population develops ESRD [17]. The annual rate of incidence of AKI and reported CKD is 2–3-fold higher among SCD patients compared to non-sickle individuals [2]. Although newborn screening along with early intervention decreased early childhood mortality in SCD, accumulation of kidney diseases and age dependent renal deterioration of renal health poses increased risk of mortality in this population.
2. SCD pathophysiology and susceptibility to acute kidney injury
The genetic basis of SCD includes a single point mutation in the beta-globin chain of hemoglobin resulting in a morphologically and functionally different red blood cells (RBC). The modified hemoglobin (HbS) polymerizes under hypoxic condition causing RBC sickling [18, 19]. This characteristic feature of SCD leads to two major pathophysiological consequences, namely, vasoocclusion and hemolysis [20]. Moreover renal medullary hypoxia, acidosis, hyperosmolarity and reduced blood flow contribute to elevated endothelial adhesion and recurrent ischemia–reperfusion (IR) injury [13]. Earlier studies implicated several aspects of SCD including volume depletion, rhabdomyolysis, infections and the use of non-steroidal analgesics (NSAIDs) as predisposing factors for AKI [13, 21, 22, 23, 24, 25]. A cascade of these events individually or in combination possibly generates a constellation of sterile inflammation and oxidative stress, which overwhelm the normal physiology and trigger several chronic and acute multiorgan damage including kidney injury in SCD. Recurrent episodes of IR injury trigger vasoocclusive pain crisis (VOC), one of the major causes for intensive care unit (ICU) admission for patients with SCD. This medically vulnerable population is at higher risk of developing AKI due to co-morbid conditions of kidney and other organs including heart and lung. Patients with SCD frequently develop cardiopulmonary events like pulmonary hypertension (PH) and acute chest syndrome (ACS) which often lead to premature death [26]. AKI is emerging as a major clinical concern among SCD patients hospitalized for VOC and acute chest syndrome (ACS). It has been reported in ~14% of adults [12] and 8% children [27] with ACS, and in 17% of children with VOC [28]. Additionally, while hyperfiltration and microalbuminuria are common in SCD [13], chronic kidney disease (CKD) occurs in up to 60% of these patients [17]. Recent epidemiological evidences increasingly indicate that CKD and AKI are linked and probably promote one another [29, 30]. Underlying CKD is now recognized as a clear risk factor for AKI, as both decreased glomerular filtration rate (GFR) and increased proteinuria.
2.1 Hemolysis and acute kidney injury in SCD
Acute exacerbation of anemia that potentially generate excess extracellular heme is an independent risk factor for AKI in SCD [27, 28, 31]. Earlier studies implicated several aspects of SCD including volume depletion, rhabdomyolysis, infections and the use of non-steroidal analgesics (NSAIDs) as predisposing factors for AKI [13, 21, 22, 23, 24, 25]. Recent clinical studies have concluded that incidences of AKI are associated with rapid decline in hemoglobin (Hb). The link between acute hemolysis and AKI is corroborated with significantly low level of total Hb at the time of hospitalization among SCD patients who develop AKI compared to those who do not [16], and higher risk of developing acute renal insufficiency among ACS patients with rapidly progressive decline in total Hb [32]. Intravascular hemolysis is a cardinal pathophysiological event in SCD that raises cell free plasma Hb and arginase-1 levels to collectively reduce nitric oxide (NO) bioavailability and enhance reactive oxygen species (ROS) formation [33, 34]. Cell-free hemoglobin is primarily scavenged by plasma protein haptoglobin (Hp). The resulting duo (Hb-Hp complex) is internalized by macrophage receptor CD163 for subsequent globin and heme metabolism. Haptoglobin is depleted in SCD resulting high amount of plasma hemoglobin that can easily get exposed to the underlying oxidative environment. Heme is subsequently released following oxidation of Hb to methemoglobin (metHb) with ferric heme. Extracellular circulating heme is rapidly transferred to hemopexin (Hx), the plasma protein with the highest binding affinity for heme. It is well known that heme-hemopexin (heme-Hx) complex is transported to the liver for degradation by heme oxygenase-1 (HO-1) [35, 36]. In SCD, plasma Hx is also intrinsically exhausted due to chronic hemolysis [37, 38]. Lack of haptoglobin and hemopexin along with chronic and acute hemolysis elevate extracellular hemoglobin and heme in plasma of SCD patients [33]. Furthermore, the HbS is a relatively unstable molecule that can easily undergo autooxidation contributing to increase circulating free heme in SCD [39]. Both cell-free circulating hemoglobin and heme are toxic, unless sufficiently metabolized, to the cells and may cause significant damage to organs including kidney.
2.2 Pathogenesis of acute kidney injury in SCD
The primary etiology of AKI involves four major structures of kidney including tubules, glomeruli, interstitium and intrarenal blood vessels. While acute tubular injury is the major pathological manifestation of AKI, rapid decline in renal function identified by reduced glomerular filtration rate (GFR) clinically define AKI [40]. The dimeric form of circulating cell free Hb can filter through glomerular sieve and enters in proximal tubular segment. The endocytosis of Hb molecules is possible through the megalin and cubilin receptors on tubular epithelial cells. The internalized hemoglobin breaks down in to heme that induces caspase-3 mediated apoptosis of the tubular cells leading to AKI development. This idea was supported by the presence of hemoglobin and myoglobin in plasma and urinary space in multiple in vivo models of AKI induced by glycerol, ischemia, sepsis and cisplatin [41, 42, 43].
In vivo, excess circulating heme, a byproduct of acute hemolysis, triggers VOC and ACS, the two major SCD complications associated with hospitalization and AKI development in SCD [44, 45]. Our recent study demonstrated that modest elevation of extracellular heme in circulation promotes clinically relevant AKI in an established humanized murine model of SCD containing human HbS. In this study, the researchers have established that a secondary heme scavenger, alpha-1-microglobin (A1M) is elevated in mice and human with SCD as an adaptive response to decreased hemopexin, the primary heme scavenger responsible for clearance of circulating free heme [46]. Several other studies have shown that heme bound to A1M is transported to renal tubular epithelial cells [47]. Excess deposition of heme causes proximal tubular epithelial cell death and promotes AKI (Figure 1). This study identifies that relative concentration of A1M and Hx may serve as prognostic factor of future AKI events in SCD during acute hemolytic events [46, 48].
Figure 1.
Pathogenesis of AKI in SCD. Hemolysis cause release of cell free Hb and heme in circulation. Free dimeric Hb or free heme bound to A1M passes through glomerular filtration and internalized into renal proximal tubular epithelial cells. Excess heme can overwhelm the HO-1 degradation capacity and induce multiple cell death pathways. On the other hand, Hb may cause podocyte injury leading to glomerular dysfunction. Tubular cell death and/or glomerular damage develops AKI.
3. Chronic kidney disease (CKD) in sickle cell disorders
Kidney diseases gradually develop in individuals with SCD. Microalbuminuria is evident in childhood, progressing to apparent proteinuria, deteriorating glomerular filtration rate (GFR) in early adulthood, while CKD becomes prevalent in adults [49]. Development of CKD in SCD is complex, but several studies have invariably demonstrated its association with low hemoglobin level and hemolysis [50, 51, 52, 53]. Higher frequency of severe anemia (Hb: 7–9 g/dl) among SCD patients with ESRD (71%) compared to non-SCD patients with ESRD (25%) has also been reported [54]. Moreover, among SCD patients, exacerbation of anemia is an independent risk factor for acute kidney injury (AKI) which is a predisposing factor for CKD and ESRD [27, 28, 31]. Progression of kidney damage is defined as CKD when eGFR is reduced to <60 mL/min/1.73 m2. The reduced GFR is often associated with hematuria, albuminuria and nephrotic syndromes. Intravascular hemolysis is a cardinal pathophysiological event in SCD that raises cell free plasma hemoglobin and arginase 1 to collectively reduce nitric oxide (NO) bioavailability and enhance reactive oxygen species (ROS) formation [33, 34]. Worsening anemia and elevated persistent oxidative stress lead to decline in GFR in association with reduced erythropoietin synthesis. Individuals with SCD develop CKD at a median age of 23.1 years, while 16–27% of pediatric patients have CKD [17].
3.1 Glomerular hyperfiltration, hyper perfusion and progressive kidney damage
Increased renal blood flow and higher GFR are characteristics of kidney function among SCD patients at their younger age. The hyperfiltration subsides to normal GFR that eventually lowers to subnormal level with the progression of age and the development of CKD [13, 55]. Sustained glomerular hyperfiltration causes damage to different parts of the glomerulus including the endothelium and the epithelial layer of the Bowman’s capsule. These events predispose the development of focal segmental glomerular sclerosis (FSGS), which is a common feature in SCD. Hyperfiltration occurs due to glomerular hyper perfusion that increases the renal blood flow. Hyper perfusion stems from underlying anemia and decreased vascular resistance, while the reduced blood flow is evident within hypoxic renal medulla due to vasoocclusion of sickle red blood cells. This phenomenon commonly known as “perfusion paradox” generates increased oxidative stress, mesangial proliferation, endothelial barrier disruption, and thickening of the glomerular basement membrane [56].
3.2 Proteinuria and chronic kidney disease in SCD
Hyperfiltration among children with SCD is associated with proteinuria in the form of microalbuminuria (urine albumin 30–300 mg/g creatinine). This condition increases with age and about 68% of these patients experienced macroalbuminuria (urine albumin >300 mg/g creatinine) as they grow older [57, 58]. While about 4% of SCD patients exhibit macroalbuminuria at the nephrotic range (urine albumin >500 mg/g creatinine), a substantial number of patients suffer from irreversible kidney complications. Several studies have indicated association of albuminuria with hemolysis, incidences of vasoocclusive crisis and acute chest syndrome, and pulmonary hypertension. These events also impact blood pressure which in turn can regulate hyperfiltration [13, 17, 21, 53].
3.3 Genetic variants associated with chronic kidney disease in SCD
Apart from the underlying hemoglobin gene mutation, progression and severity of CKD development are associated with polymorphisms of multiples genes among SCD patients. A major proportion of SCD population has alpha thalassemia. Two polymorphisms in the α-chain of the globin chain including i) a 3.7 Kb deletion and ii) a 4.2 Kb deletion are associated with reduced albuminuria, higher eGFR and hence lower risk of CKD progression [59, 60].
The variants of apolipoprotein L1 gene (APOL1) gene associated with risk of CKD development have been studied widely. The G1 (S342G and I384M) as well as G2 (N388 and Y389 deletion) variants found in 11–13% of African Americans account for about 70% CKD risk in this population. Homozygous or compound heterozygous inheritance of G1/G2 variants within SCD population increase the macroalbuminuria, progression of CKD and development of ESRD [61, 62, 63].
Besides the increased risk of AKI with longer GT tandem repeats of HMOX-1 gene promoter, the allele frequency of a variant of HMOX-1 (rs743811) was found to be associated with worsening CKD [61, 64]. Several other genetic variants including (i) Duffy antigen (Fy rs2814778) of the RBC, (ii) myosin heavy chain 9 (MYH9-rs5750248, rs1192763), (iii) TGF-β/BMP (BMPR1B) have also been implicated with CKD risk among various cohorts of SCD patients [65, 66, 67].
3.4 Renal endothelium and pathogenesis of chronic kidney disease in SCD
In SCD, intrinsic hemolytic, inflammatory, oxidative and hypercoagulative stress contribute to the characteristic endothelial dysfunction that alters the systemic vascular biology [68]. Endothelial interaction with multiple blood components, including sickled red blood cells, leukocytes and platelets, injure the endothelium and obstruct the vasculature impacting internal organs [69]. Renal pathology in sickle cell nephropathy includes extensive peritubular microvascular congestions and chronic thrombotic microangiopathy that can lead to CKD by peritubular microvascular rarefaction, interstitial fibrosis and tubular atrophy [70, 71, 72].
Several studies including ours have demonstrated that extracellular heme triggers endothelial barrier disruption in various organs in SCD including the kidneys [44, 73, 74, 75, 76]. Endothelial dysfunction may occur in the glomerulus affecting the podocytes that maintain the glomerular endothelial integrity. One study has shown that renal endothelial dysfunction is triggered by an increase in soluble fms-like tyrosine kinase 1 (sFLT-1), a splice variant of vascular endothelial growth factor receptor-1 (VEGFR1) in SCD. The sFLT-1 blocks interaction of VEGF with glomerular endothelium leading to endothelial damage associated with increased albuminuria [77]. Moreover, endothelin-1 (ET-1) generated by endothelial cells under inflammation causes endothelial injury by reducing NO bioavailability. Alongside, ET-1 mediates podocyte injury by binding endothelin A (ETA) receptor. In animal studies, antagonists to ETA receptor showed renal protection [78, 79].
Hemolysis and hemoglobinuria, cardinal features of SCD are associated with proteinuria and progression of CKD in SCD patients [51, 53]. Multiple chronic and acute hemolytic events may induce episodes of vasoocclusion leading to vulnerability of the endothelium susceptible to injury. The peritubular capillaries may split leading hematuria through extravasation of RBCs. These events may prompt development of vasoocclusion of vasa recta and papillary necrosis [80].
Endothelial injury in the renal peritubular microvessels is closely linked to rarefaction and interstitial fibrosis that leads to CKD progression [81, 82, 83]. Moreover, free heme reflects the function of danger associated molecular pattern in hemolytic diseases activating vital defense response compartments including toll-like receptor-4 signaling, neutrophil extracellular trap formation and inflammasome activation [84, 85, 86]. The inflammatory milieu including activated neutrophils regulate endothelial barrier function through adhesion and secretion dependent mechanisms [87].
4. Current management and therapies
Medications and timely management are critical in protecting the kidney. Chronic RBC transfusion therapy is offered to enhance the osmolality and concentrating ability in children with SCD. Hydroxyurea therapy has been shown to reduce the hyperfiltration in children [88]. Hypotonic fluid is recommended for renal papillary necrosis thiazide or loop diuretics are used to maintain urine flow rate [80]. The angiotensin converting enzyme inhibitors (ACE-inhibitors) can dilate efferent arterioles and help decrease glomerular pressure. ACE-inhibitors are used widely to control albuminuria [89].
5. Future research perspectives
Free heme is considered as an eDAMP (erythroid danger-associated molecular pattern) that induces sterile inflammation in SCD. Heme has been shown to activate toll-like receptor 4 (TLR4) on endothelial cell surface to promote TNFα stimulating innate immune signaling in SCD [45]. Moreover, heme activates NLRP3 inflammasome pathway and releases caspase-1 induced IL-1β from macrophages. The resulting inflammation is associated with hemolysis induced lethality in SCD mice and heme induced cell death in macrophages [85]. Heme-mediated toxicity is particularly relevant to renal tubular epithelial cells as these cells presumably confront the majority of heme that passes through the glomeruli during acute hemolysis. Inflammasomes potentially activate caspase-1 that mediates cell death leading to release of IL-1β and IL-18. These are pro-inflammatory cytokines that are induced and cleaved in the proximal tubule, and subsequently easily detected in the urine of SCD patients and their concentrations were associated with hemolysis [90]. In a cross-sectional study, urine IL-18 levels were markedly elevated in patients with established AKI [91]. An in vitro study using immortalized human proximal tubular epithelial cells (HK-2) suggests that activation of inflammasomes mediates contrast-induced AKI [92]. Whether acute hemolytic events followed by exposure of excess heme on proximal tubular epithelial cell surface induces AKI facilitated by stimulation of inflammasome machinery has not yet been established.
The role of the rate limiting heme catabolizing enzyme, HO-1 may be of significant importance. HO-1 degrades heme into iron (Fe), carbon monoxide (CO) and biliverdin, and thereby protects against adverse effects of heme. Multiple studies featured rapid induction of HO-1 under oxidative stress accounts for its beneficial effect against kidney injury [93, 94, 95]. Moreover, longer [GT]n repeats in HO-1 gene (HMOX1) promoter, responsible for reduced HO-1 expression, is associated with increased risk of AKI in sickle cell disease patients [16]. The mechanism of cellular regulation of HO-1 induction during AKI events in SCD has yet to be elucidated.
Besides tubular damage, etiology of AKI also includes impaired glomerular structure. Podocytes, the highly differentiated visceral epithelial cells, is a major constituent of glomerular structure and function. One in vitro study has shown that human and murine podocytes exposed to Hb develops increased oxidative stress and undergo apoptosis resulting podocyte dysfunction [96]. In SCD, the cell free HbS may serve as an oxidant to cause podocyte injury that may contributes to AKI, whereas, multiple AKI events may induce focal segmental glomerulosclerosis (FSGS), a characteristic CKD feature in SCD.
The intracellular signaling within the podocyte regulating glomerular endothelial integrity has not been explained.
Despite clinical association, mechanistic studies linking hemolysis to renal peritubular endothelial impairment leading to progressive kidney diseases in SCD have not yet been described. The underlying chronic inflammation in SCD leads to activation of blood cells including neutrophils and platelets. During AKI and CKD, neutrophil and platelet accumulation are evident within renal vasculature. The cellular and molecular mechanism depicting the interactions of activated blood cells and the endothelium leading to progression of CKD is an important area of future research.
Kidney injuries in SCD is multifactorial and may involve multiple unique and overlapping cell biological events in several renal compartments (Figure 2). Incidences of AKI are generally considered as independent risk factor for CKD progression not only in general population but also in SCD. Multiple AKI events attributed to acute intravascular hemolytic events in SCD may be responsible for progressive CKD and end stage renal disease among SCD patients. Future studies elucidating mechanisms of AKI to CKD transition along with identification of specific risk factors are warranted for development of potential therapeutics to protect individuals with SCD from broad spectrum of renal complications.
Figure 2.
Overview of sickle cell disease nephropathy. Figure prepared with biorender.com.
Acknowledgments
Samit Ghosh is supported in part by National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) [grant R01DK124426]. The author acknowledges research support from Vascular Medicine Institute, the Hemophilia Center of Western Pennsylvania and Vitalant.
\n',keywords:"sickle cell disease, hemolysis, endothelium, AKI, CKD",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/80581.pdf",chapterXML:"https://mts.intechopen.com/source/xml/80581.xml",downloadPdfUrl:"/chapter/pdf-download/80581",previewPdfUrl:"/chapter/pdf-preview/80581",totalDownloads:49,totalViews:0,totalCrossrefCites:0,dateSubmitted:"January 10th 2022",dateReviewed:"January 24th 2022",datePrePublished:"February 23rd 2022",datePublished:null,dateFinished:"February 23rd 2022",readingETA:"0",abstract:"Sickle cell disease (SCD), characterized by the presence of unstable sickle hemoglobin in the homozygous state (HbSS), results in progressive organ damage and early mortality with the median age of death in the 40s. The kidney is one of the most severely affected organs in SCD. Kidney diseases gradually develop in individuals with SCD. Microalbuminuria is evident in childhood, progressing to apparent proteinuria, deteriorating glomerular filtration rate (GFR) in early adulthood. While CKD becomes prevalent in adults. Moreover, among SCD patients, exacerbation of anemia is an independent risk factor for acute kidney injury (AKI) which is a predisposing factor for CKD and End Stage Renal Diseases (ESRD), altogether contributing to 16–18% mortality among this patients’ population. The pathogenesis of renal diseases in SCD is not completely understood. While epidemiological studies have shown a strong association between rate of hemolysis, severity of anemia and CKD, intrinsic inflammatory, oxidative and hypercoagulative stress that contribute to the characteristic endothelial dysfunction also promotes development of renal diseases in SCD. This chapter will elaborately discuss current research on the pathogenesis of AKI, AKI-to-CKD transition and future research perspectives for development of novel therapeutic strategies.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/80581",risUrl:"/chapter/ris/80581",signatures:"Samit Ghosh",book:{id:"11293",type:"book",title:"Sickle Cell Disease",subtitle:null,fullTitle:"Sickle Cell Disease",slug:null,publishedDate:null,bookSignature:"Dr. Osaro Erhabor",coverURL:"https://cdn.intechopen.com/books/images_new/11293.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-80355-595-9",printIsbn:"978-1-80355-594-2",pdfIsbn:"978-1-80355-596-6",isAvailableForWebshopOrdering:!0,editors:[{id:"35140",title:"Dr.",name:"Osaro",middleName:null,surname:"Erhabor",slug:"osaro-erhabor",fullName:"Osaro Erhabor"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. SCD pathophysiology and susceptibility to acute kidney injury",level:"1"},{id:"sec_2_2",title:"2.1 Hemolysis and acute kidney injury in SCD",level:"2"},{id:"sec_3_2",title:"2.2 Pathogenesis of acute kidney injury in SCD",level:"2"},{id:"sec_5",title:"3. Chronic kidney disease (CKD) in sickle cell disorders",level:"1"},{id:"sec_5_2",title:"3.1 Glomerular hyperfiltration, hyper perfusion and progressive kidney damage",level:"2"},{id:"sec_6_2",title:"3.2 Proteinuria and chronic kidney disease in SCD",level:"2"},{id:"sec_7_2",title:"3.3 Genetic variants associated with chronic kidney disease in SCD",level:"2"},{id:"sec_8_2",title:"3.4 Renal endothelium and pathogenesis of chronic kidney disease in SCD",level:"2"},{id:"sec_10",title:"4. Current management and therapies",level:"1"},{id:"sec_11",title:"5. Future research perspectives",level:"1"},{id:"sec_12",title:"Acknowledgments",level:"1"}],chapterReferences:[{id:"B1",body:'Ballas SK. 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Antioxidants & Redox Signaling. 2016;25(3):165-183'},{id:"B95",body:'Ramos S et al. Renal control of disease tolerance to malaria. Proceedings of the National Academy of Sciences of the United States of America. 2019;116(12):5681-5686'},{id:"B96",body:'Rubio-Navarro A et al. Podocytes are new cellular targets of haemoglobin-mediated renal damage. The Journal of Pathology. 2018;244(3):296-310'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Samit Ghosh",address:"sag130@pitt.edu",affiliation:'
Division of Hematology/Oncology, Department of Medicine, Pittsburgh Heart Lung and Blood Vascular Medicine Institute (VMI), University of Pittsburgh, Pittsburgh, PA, USA
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Virginia Polytechnic Institute and State University
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Corresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
The Claremont Colleges are pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
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The University of Massachusetts, Amherst is pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\n\n
Corresponding authors will receive a 10% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
The University of Surrey is pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\n\n
Corresponding authors will receive a 10% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
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\n\t
Virginia Polytechnic Institute and State University
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These physiological events occur smoothly in normal healthy individual and/or under normal conditions. However, in certain cases, these molecular events are retarded resulting in hard-to-heal or chronic wounds arising from several factors such as poor venous return, underlying physiological or metabolic conditions such as diabetes as well as external factors such as poor nutrition. In most cases, such wounds are infected and infection also presents as another complicating phenomenon which triggers inflammatory reactions, therefore delaying wound healing. There has therefore been recent interests and significant efforts in preventing and actively treating wound infections by directly targeting infection causative agents through direct application of antimicrobial agents either alone or loaded into dressings (medicated). These have the advantage of overcoming challenges such as poor circulation in diabetic and leg ulcers when administered systemically and also require lower amounts to be applied compared to that required via oral or iv administration. This chapter will review and evaluate various antimicrobial agents used to target infected wounds, the means of delivery, and current state of the art, including commercially available dressings. Data sources will include mainly peer-reviewed literature, clinical trials and reports, patents as well as government reports where available.",book:{id:"5290",slug:"wound-healing-new-insights-into-ancient-challenges",title:"Wound Healing",fullTitle:"Wound Healing - New insights into Ancient Challenges"},signatures:"Omar Sarheed, Asif Ahmed, Douha Shouqair and Joshua Boateng",authors:[{id:"183108",title:"Dr.",name:"Joshua",middleName:null,surname:"Boateng",slug:"joshua-boateng",fullName:"Joshua Boateng"},{id:"183399",title:"Dr.",name:"Omar",middleName:null,surname:"Sarheed",slug:"omar-sarheed",fullName:"Omar Sarheed"},{id:"188082",title:"Mr.",name:"Asif",middleName:null,surname:"Ahmed",slug:"asif-ahmed",fullName:"Asif Ahmed"},{id:"188083",title:"Ms.",name:"Douha",middleName:null,surname:"Shouqair",slug:"douha-shouqair",fullName:"Douha Shouqair"}]},{id:"51825",doi:"10.5772/64611",title:"Roles of Matrix Metalloproteinases in Cutaneous Wound Healing",slug:"roles-of-matrix-metalloproteinases-in-cutaneous-wound-healing",totalDownloads:3568,totalCrossrefCites:16,totalDimensionsCites:34,abstract:"Wound healing is a complex process that consists of hemostasis and inflammation, angiogenesis, re-epithelialization, and tissue remodeling. Matrix metalloproteinases (MMPs) play important roles in wound healing, and their dysregulation leads to prolonged inflammation and delayed wound healing. There are 24 MMPs in humans, and each MMP exists in three forms, of which only the active MMPs play a role in the pathology or repair of wounds. The current methodology does not distinguish between the three forms of MMPs, making it challenging to investigate the roles of MMPs in pathology and wound repair. We used a novel MMP-inhibitor-tethered affinity resin that binds only the active form of MMPs, from which we identified and quantified active MMP-8 and active MMP-9 in a murine diabetic model with delayed wound healing. We showed that up-regulation of active MMP-9 plays a detrimental role whereas active MMP-8 is involved in repairing the wound in diabetic mice. These studies identified MMP-9 as a novel target for therapeutic intervention in the treatment of chronic wounds. A selective inhibitor of MMP-9 that leaves MMP-8 unaffected would provide the most effective therapy and represents a promising strategy for therapeutic intervention in the treatment of diabetic foot ulcers.",book:{id:"5290",slug:"wound-healing-new-insights-into-ancient-challenges",title:"Wound Healing",fullTitle:"Wound Healing - New insights into Ancient Challenges"},signatures:"Trung T. Nguyen, Shahriar Mobashery and Mayland Chang",authors:[{id:"183405",title:"Prof.",name:"Mayland",middleName:null,surname:"Chang",slug:"mayland-chang",fullName:"Mayland Chang"},{id:"191152",title:"Mr.",name:"Trung",middleName:null,surname:"Nguyen",slug:"trung-nguyen",fullName:"Trung Nguyen"},{id:"191153",title:"Prof.",name:"Shahriar",middleName:null,surname:"Mobashery",slug:"shahriar-mobashery",fullName:"Shahriar Mobashery"}]},{id:"63675",doi:"10.5772/intechopen.81208",title:"Wound Healing: Contributions from Plant Secondary Metabolite Antioxidants",slug:"wound-healing-contributions-from-plant-secondary-metabolite-antioxidants",totalDownloads:1282,totalCrossrefCites:7,totalDimensionsCites:19,abstract:"Plants by their genetic makeup possess an innate ability to synthesize a wide variety of phytochemicals that help them to perform their normal physiological functions and/or to protect themselves from microbial pathogens and animal herbivores. The synthesis of these phytochemicals presents the plants their natural tendency to respond to environmental stress conditions. These phytochemicals are classified either as primary or secondary metabolites. The secondary metabolites have been identified in plants as alkaloids, terpenoids, phenolics, anthraquinones, and triterpenes. These plant-based compounds are believed to have diverse medicinal properties including antioxidant properties. Plants have therefore been a potential source of antioxidants which have received a great deal of attention since increased oxidative stress has been identified as a major causative factor in the development and progression of several life-threatening diseases, including neurodegenerative and cardiovascular diseases and wound infection. Consequently, many medicinal plants have been cited and known to effect wound healing and antioxidant properties. This chapter briefly reviews antioxidant properties of medicinal plants to highlight the important roles medicinal plants play in wound healing.",book:{id:"7046",slug:"wound-healing-current-perspectives",title:"Wound Healing",fullTitle:"Wound Healing - Current Perspectives"},signatures:"Victor Y.A. Barku",authors:[{id:"261027",title:"Prof.",name:"Victor Y. A.",middleName:null,surname:"Barku",slug:"victor-y.-a.-barku",fullName:"Victor Y. A. Barku"}]},{id:"66793",doi:"10.5772/intechopen.85020",title:"The Impact of Biofilm Formation on Wound Healing",slug:"the-impact-of-biofilm-formation-on-wound-healing",totalDownloads:1385,totalCrossrefCites:7,totalDimensionsCites:15,abstract:"Chronic wounds represent an important challenge for wound care and are universally colonized by bacteria. These bacteria can form biofilm as a survival mechanism that confers the ability to resist environmental stressors and antimicrobials due to a variety of reasons, including low metabolic activity. Additionally, the exopolymeric substance (EPS) contained in biofilm acts as a mechanical barrier to immune system cells, leading to collateral damage in the surrounding tissue as well as chronic inflammation, which eventually will delay healing of the wound. This chapter will discuss current knowledge on biofilm formation, its presence in acute and chronic wounds, how biofilm affects antibiotic resistance and tolerance, as well as the wound healing process. We will also discuss proposed methods to eliminate biofilm and improve wound healing despite its presence, including basic science and clinical studies regarding these matters.",book:{id:"7046",slug:"wound-healing-current-perspectives",title:"Wound Healing",fullTitle:"Wound Healing - Current Perspectives"},signatures:"Rafael A. Mendoza, Ji-Cheng Hsieh and Robert D. Galiano",authors:[{id:"253607",title:"M.D.",name:"Rafael",middleName:null,surname:"Mendoza",slug:"rafael-mendoza",fullName:"Rafael Mendoza"},{id:"254018",title:"Dr.",name:"Robert",middleName:null,surname:"Galiano",slug:"robert-galiano",fullName:"Robert Galiano"},{id:"271116",title:"Mr.",name:"Ji-Cheng",middleName:null,surname:"Hsieh",slug:"ji-cheng-hsieh",fullName:"Ji-Cheng Hsieh"}]},{id:"63086",doi:"10.5772/intechopen.80215",title:"Medicinal Plants in Wound Healing",slug:"medicinal-plants-in-wound-healing",totalDownloads:2815,totalCrossrefCites:6,totalDimensionsCites:11,abstract:"Wound healing process is known as interdependent cellular and biochemical stages which are in trying to improve the wound. Wound healing can be defined as stages which is done by body and delayed in wound healing increases chance of microbial infection. Improved wound healing process can be performed by shortening the time needed for healing or lowering the inappropriate happens. The drugs were locally or systemically administrated in order to help wound healing. Antibiotics, antiseptics, desloughing agents, extracts, etc. have been used in order to wound healing. Some synthetic drugs are faced with limitations because of their side effects. Plants or combinations derived from plants are needed to investigate identify and formulate for treatment and management of wound healing. There is increasing interest to use the medicinal plants in wound healing because of lower side effects and management of wounds over the years. Studies have shown that medicinal plants improve wound healing in diabetic, infected and opened wounds. The different mechanisms have been reported to improve the wound healing by medicinal plants. In this chapter, some medicinal plants and the reported mechanisms will be discussed.",book:{id:"7046",slug:"wound-healing-current-perspectives",title:"Wound Healing",fullTitle:"Wound Healing - Current Perspectives"},signatures:"Mohammad Reza Farahpour",authors:[{id:"253340",title:"Prof.",name:"Mohammadreza",middleName:null,surname:"Farahpour",slug:"mohammadreza-farahpour",fullName:"Mohammadreza Farahpour"}]}],mostDownloadedChaptersLast30Days:[{id:"55736",title:"Haemodynamic Monitoring in the Intensive Care Unit",slug:"haemodynamic-monitoring-in-the-intensive-care-unit",totalDownloads:3284,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Monitoring is a cognitive aid that allows clinicians to detect the nature and extent of pathology and helps assessment of response to therapy. The cardiovascular system is the most commonly monitored organ system in the critical care setting. It helps identify the presence and nature of shock and guides response to resuscitation by detection of cardiac rate and rhythm, evaluation of volume state, cardiac contractility and systemic vascular resistance. Newer technologies allow greater assessment of oxygen delivery to vulnerable tissues. We discuss the nature, history, modalities and interpretation of the most commonly available haemodynamic monitoring methods in clinical use currently.",book:{id:"5756",slug:"intensive-care",title:"Intensive Care",fullTitle:"Intensive Care"},signatures:"Mainak Majumdar",authors:[{id:"86678",title:"Dr.",name:"Mainak",middleName:null,surname:"Majumdar",slug:"mainak-majumdar",fullName:"Mainak Majumdar"}]},{id:"51825",title:"Roles of Matrix Metalloproteinases in Cutaneous Wound Healing",slug:"roles-of-matrix-metalloproteinases-in-cutaneous-wound-healing",totalDownloads:3569,totalCrossrefCites:16,totalDimensionsCites:34,abstract:"Wound healing is a complex process that consists of hemostasis and inflammation, angiogenesis, re-epithelialization, and tissue remodeling. Matrix metalloproteinases (MMPs) play important roles in wound healing, and their dysregulation leads to prolonged inflammation and delayed wound healing. There are 24 MMPs in humans, and each MMP exists in three forms, of which only the active MMPs play a role in the pathology or repair of wounds. The current methodology does not distinguish between the three forms of MMPs, making it challenging to investigate the roles of MMPs in pathology and wound repair. We used a novel MMP-inhibitor-tethered affinity resin that binds only the active form of MMPs, from which we identified and quantified active MMP-8 and active MMP-9 in a murine diabetic model with delayed wound healing. We showed that up-regulation of active MMP-9 plays a detrimental role whereas active MMP-8 is involved in repairing the wound in diabetic mice. These studies identified MMP-9 as a novel target for therapeutic intervention in the treatment of chronic wounds. A selective inhibitor of MMP-9 that leaves MMP-8 unaffected would provide the most effective therapy and represents a promising strategy for therapeutic intervention in the treatment of diabetic foot ulcers.",book:{id:"5290",slug:"wound-healing-new-insights-into-ancient-challenges",title:"Wound Healing",fullTitle:"Wound Healing - New insights into Ancient Challenges"},signatures:"Trung T. Nguyen, Shahriar Mobashery and Mayland Chang",authors:[{id:"183405",title:"Prof.",name:"Mayland",middleName:null,surname:"Chang",slug:"mayland-chang",fullName:"Mayland Chang"},{id:"191152",title:"Mr.",name:"Trung",middleName:null,surname:"Nguyen",slug:"trung-nguyen",fullName:"Trung Nguyen"},{id:"191153",title:"Prof.",name:"Shahriar",middleName:null,surname:"Mobashery",slug:"shahriar-mobashery",fullName:"Shahriar Mobashery"}]},{id:"63086",title:"Medicinal Plants in Wound Healing",slug:"medicinal-plants-in-wound-healing",totalDownloads:2819,totalCrossrefCites:6,totalDimensionsCites:11,abstract:"Wound healing process is known as interdependent cellular and biochemical stages which are in trying to improve the wound. Wound healing can be defined as stages which is done by body and delayed in wound healing increases chance of microbial infection. Improved wound healing process can be performed by shortening the time needed for healing or lowering the inappropriate happens. The drugs were locally or systemically administrated in order to help wound healing. Antibiotics, antiseptics, desloughing agents, extracts, etc. have been used in order to wound healing. Some synthetic drugs are faced with limitations because of their side effects. Plants or combinations derived from plants are needed to investigate identify and formulate for treatment and management of wound healing. There is increasing interest to use the medicinal plants in wound healing because of lower side effects and management of wounds over the years. Studies have shown that medicinal plants improve wound healing in diabetic, infected and opened wounds. The different mechanisms have been reported to improve the wound healing by medicinal plants. In this chapter, some medicinal plants and the reported mechanisms will be discussed.",book:{id:"7046",slug:"wound-healing-current-perspectives",title:"Wound Healing",fullTitle:"Wound Healing - Current Perspectives"},signatures:"Mohammad Reza Farahpour",authors:[{id:"253340",title:"Prof.",name:"Mohammadreza",middleName:null,surname:"Farahpour",slug:"mohammadreza-farahpour",fullName:"Mohammadreza Farahpour"}]},{id:"67217",title:"Nursing Implications in the ECMO Patient",slug:"nursing-implications-in-the-ecmo-patient",totalDownloads:2468,totalCrossrefCites:3,totalDimensionsCites:3,abstract:"Effective care and positive outcomes of the extracorporeal membrane oxygenation (ECMO) patient necessitate optimal interdisciplinary management from the healthcare team, including expert care from specially trained registered nurses (RNs). It is incumbent upon the RN caring for the ECMO patient to excel in both time management and assessment skills, as this population often demands care delivery at the pinnacle of intensive care unit (ICU) acuity. Astute and nuanced monitoring of neurological status, bleeding risk with potential (often massive) transfusions, poor hemodynamics, and integrity of the ECMO pump itself are only the few specialized areas of focus that must share priority with traditional nursing considerations involving the critically ill, such as prevention of pressure injuries and bloodstream infections. These high-intensity medical foci must be balanced with ethical considerations, as the ultimate goal of returning the patient to their normal life is not always possible. These demands highlight the dynamic proficiency of the RN caring for the ECMO patient. The following chapter will highlight the importance of specialized nursing care in the critically ill patient supported with ECMO.",book:{id:"7878",slug:"advances-in-extracorporeal-membrane-oxygenation-volume-3",title:"Advances in Extracorporeal Membrane Oxygenation",fullTitle:"Advances in Extracorporeal Membrane Oxygenation - Volume 3"},signatures:"Alex Botsch, Elizabeth Protain, Amanda R. Smith and Ryan Szilagyi",authors:[{id:"298623",title:"Mr.",name:"Alexander",middleName:null,surname:"Botsch",slug:"alexander-botsch",fullName:"Alexander Botsch"}]},{id:"66239",title:"Echocardiography Evaluation in ECMO Patients",slug:"echocardiography-evaluation-in-ecmo-patients",totalDownloads:2105,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Extracorporeal membrane oxygenation (ECMO) is a special form of organ support for selected cases of cardiovascular and severe respiratory failure. Echocardiography is a diagnostic and monitoring tool widely used in all aspects of ECMO support. The pathophysiology of ECMO, and its distinct effects on cardiorespiratory physiology, requires an echocardiographer with high skills to understand the interaction between the ECMO and the patient. In this chapter, we present the main application of echocardiography in ECMO patients and some general concepts on the ECMO working. ECMO, such as the standard cardiopulmonary bypass employed in cardiac surgery, V-V (veno-venous), can support the insufficient respiratory system by oxygenating and removing carbon dioxide from the blood. VA-ECMO (venous-arterial) can support haemodynamics by providing mechanical circulatory assistance. Today, ECMO can be used as bridge to decision, waiting for the development of the clinical conditions to support with other devices the evolution of cardiorespiratory failure or stop the assistance. Echocardiography (transthoracic (TTE) or transoesophageal (TOE)) can be used primarily to take decisions regarding appropriateness of ECMO support, therefore to control cannula insertion and confirm final position, to modify number and position of the cannulae in case of malfunctioning of these, and, finally, to assess clinical progress and suitability for weaning from ECMO.",book:{id:"7878",slug:"advances-in-extracorporeal-membrane-oxygenation-volume-3",title:"Advances in Extracorporeal Membrane Oxygenation",fullTitle:"Advances in Extracorporeal Membrane Oxygenation - Volume 3"},signatures:"Luigi Tritapepe, Ernesto Greco and Carlo Gaudio",authors:[{id:"284893",title:"Prof.",name:"Luigi",middleName:null,surname:"Tritapepe",slug:"luigi-tritapepe",fullName:"Luigi Tritapepe"},{id:"294005",title:"Prof.",name:"Ernesto",middleName:null,surname:"Greco",slug:"ernesto-greco",fullName:"Ernesto Greco"},{id:"294006",title:"Prof.",name:"Carlo",middleName:null,surname:"Gaudio",slug:"carlo-gaudio",fullName:"Carlo Gaudio"}]}],onlineFirstChaptersFilter:{topicId:"173",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:0,limit:8,total:null},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:98,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:288,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:10,numberOfPublishedChapters:103,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:11,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. 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Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). 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Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). 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