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Search Results (17,352)

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16 pages, 1516 KiB  
Article
Association of Ovocalyxin-32 Gene Variants with Egg Quality Traits in Indigenous Chicken Breeds
by Haitham A. Yacoub, Moataz M. Fathi, Ibrahim H. Al-Homidan, Moataz I. Badawy, Mohamed H. Abdelfattah, Mohamed F. Elzarei, Osama K. Abou-Emera and Gamal N. Rayan
Animals 2024, 14(20), 3010; https://doi.org/10.3390/ani14203010 (registering DOI) - 17 Oct 2024
Abstract
This study sought to evaluate the genetic variations of the ovocalyxin-32 gene and its association with egg quality traits in indigenous chicken populations, focusing on exons 1 and 6. Genotype frequencies of SNPs (G/T and A/G) within these exons were assessed for their [...] Read more.
This study sought to evaluate the genetic variations of the ovocalyxin-32 gene and its association with egg quality traits in indigenous chicken populations, focusing on exons 1 and 6. Genotype frequencies of SNPs (G/T and A/G) within these exons were assessed for their conformity to the Hardy–Weinberg equilibrium (HWE) across several strains. While most strains exhibited close adherence to HWE expectations, some like light-brown and gray strains indicated substantial discrepancies, particularly for the TT genotype, which points towards the possible effects of genetic drift as well as selection pressures. This study also analyzed the influence of such SNPs on egg quality parameters. A thinner eggshell, reduced shell weight, and decreased breaking strength were associated with the G/T SNP in exon 1, suggesting a likely negative effect on egg quality in T allele carriers. Conversely, the AG genotype displayed better performance in shell thickness, weight and egg weight in the A/G SNP in exon 1, whilst yolk height was best improved by the AA genotype compared to breaking strength. For instance, in exon 6, the A/G SNP enhanced the shell and yolk quality among AG genotypes, while the CC genotype resulted in better eggshell characteristics with enlarged yolks because the C/T SNP was linked. Nonetheless, there were no significant deviations from the HWE despite these associations, which suggested that most breeds had a stable genetic background. Further, considering SNPs’ additive and dominant effects in this research, it was indicated that additive effects account for phenotypic expressions given by the G/T SNP located at exon 1. In contrast, significant additive and dominant effects were observed under the A/G SNP situated at the exon. Generally, it therefore could be concluded from this study that specific SNPs within the ovocalyxin-32 gene may act as good markers for marker-assisted selection (MAS) that can improve desired characteristics—such as those of egg quality—in indigenous chicken breeds. This study demonstrated that both additive and dominance effects must be taken into account when performing genetic analyses, thereby emphasizing the complexity of phenotypic variation caused by genetic mechanisms in native chicken races. Full article
(This article belongs to the Section Animal Genetics and Genomics)
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Figure 1

Figure 1
<p>Genotyping of native chicken strains using DNA sequence of C/T SNP of exon 1 of <span class="html-italic">ovocalyxin-32</span> gene. Three different patterns were detected: (<b>a</b>) GG genotype, (<b>b</b>) TT genotype and (<b>c</b>) GT heterozygous. The arrows indicated the mutation position and type.</p>
Full article ">Figure 1 Cont.
<p>Genotyping of native chicken strains using DNA sequence of C/T SNP of exon 1 of <span class="html-italic">ovocalyxin-32</span> gene. Three different patterns were detected: (<b>a</b>) GG genotype, (<b>b</b>) TT genotype and (<b>c</b>) GT heterozygous. The arrows indicated the mutation position and type.</p>
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<p>Genotyping of native chicken strains using DNA sequence of A/G SNP of exon 1 of <span class="html-italic">ovocalyxin-32</span> gene. Three different genotypes were detected: (<b>a</b>) AA genotype, (<b>b</b>) GG genotype and (<b>c</b>) AG heterozygous. The arrows indicated the mutation position and type.</p>
Full article ">Figure 3
<p>Genotyping of native chicken strains using DNA sequence of A/G SNP of Exon 6 of <span class="html-italic">ovocalyxin-32</span> gene. Three different genotypes were detected: (<b>a</b>) GG genotype, (<b>b</b>) AA genotype and (<b>c</b>) AG heterozygous. The arrows indicated the mutation position and type.</p>
Full article ">Figure 4
<p>Genotyping of native chicken strains using DNA sequence of second SNP of Exon 6 of <span class="html-italic">ovocalyxin-32</span> gene. The three patterns were detected: (<b>a</b>) CC genotype, (<b>b</b>) TT genotype and (<b>c</b>) CT heterozygous. The arrows indicated the mutation position and type.</p>
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12 pages, 258 KiB  
Article
Protective Effect of EBF Transcription Factor 1 (EBF1) Polymorphism in Sporadic and Familial Spontaneous Preterm Birth: Insights from a Case-Control Study
by Tea Mladenić, Jasenka Wagner, Mirta Kadivnik, Nina Pereza, Saša Ostojić, Borut Peterlin and Sanja Dević Pavlić
Int. J. Mol. Sci. 2024, 25(20), 11192; https://doi.org/10.3390/ijms252011192 (registering DOI) - 17 Oct 2024
Abstract
This study investigated the potential role of specific single-nucleotide polymorphisms (SNPs) in the genes Astrotactin 1 (ASTN1), EBF Transcription Factor 1 (EBF1), Eukaryotic Elongation Factor, Selenocysteine-tRNA Specific (EEFSEC), Microtubule-Associated Serine/Threonine Kinase 1 (MAST1), and [...] Read more.
This study investigated the potential role of specific single-nucleotide polymorphisms (SNPs) in the genes Astrotactin 1 (ASTN1), EBF Transcription Factor 1 (EBF1), Eukaryotic Elongation Factor, Selenocysteine-tRNA Specific (EEFSEC), Microtubule-Associated Serine/Threonine Kinase 1 (MAST1), and Tumor Necrosis Factor Alpha (TNF-α) to assess whether these genetic variants contribute to the risk of spontaneous preterm birth (sPTB). A case-control study was conducted involving 573 women from Croatia and Slovenia: 248 with sporadic sPTB (positive personal and negative family history of sPTB before 37 weeks’ gestation), 44 with familial sPTB (positive personal and family history of sPTB before 37 weeks’ gestation), and 281 control women. The analysis of ASTN1 rs146756455, EBF1 rs2963463, EBF1 rs2946169, EEFSEC rs201450565, MAST1 rs188343966, and TNF-α rs1800629 SNPs was performed using TaqMan real-time PCR. p-values were Bonferroni-adjusted for multiple comparisons. EBF1 SNP rs2963463 was significantly associated with sPTB (p adj = 0.03). Women carrying the CC genotype had a 3–4-times lower risk of sPTB (p adj < 0.0001). In addition, a significant difference in the frequency of the minor C allele was observed when comparing familial sPTB cases with controls (p adj < 0.0001). All other associations were based on unadjusted p-values. The minor T allele of EBF1 SNP rs2946169 was more frequent in sPTB cases overall than in controls, especially in sporadic sPTB (p = 0.045). Similarly, the CC genotype of ASTN1 SNP rs146756455 was more frequent in sporadic sPTB cases compared to controls (p = 0.019). Finally, the TNF-α SNP rs1800629 minor A allele and AA genotype were more common in the familial sPTB group compared to sporadic sPTB and controls (p < 0.05). The EBF1 SNP rs2963463 polymorphism showed a protective effect in the pathogenesis of sPTB, particularly in women carrying the CC genotype. Moreover, EBF1 SNP rs2946169 and ASTN1 SNP rs146756455, as well as TNF-α SNP rs1800629, were associated with an increased risk of sPTB, representing suggestive potential risk factors for sporadic and familial sPTB, respectively. Full article
(This article belongs to the Special Issue Advances in Genetics of Human Reproduction)
16 pages, 856 KiB  
Article
Hereditary Transthyretin-Related Amyloidosis Ongoing Observational Study: A Baseline Report of the First 3167 Participants
by Sabine Rösner, Luba M. Pardo, Aida M. Bertoli-Avella, Volha Skrahina, Pierre Engel, Sabine Schröder, Susan Zielske, Valerie Bonke, Janett Kreth, Gina Westphal, Felix Reder, Snezana Skobalj, Susanne Zielke, Xenia Bogdanovic, Paula Grieger, Jörg Rennecke, Thomas Skripuletz, Monica Patten, Birgit Aßmus, Katrin Hahn, Arndt Rolfs and Peter Baueradd Show full author list remove Hide full author list
J. Clin. Med. 2024, 13(20), 6197; https://doi.org/10.3390/jcm13206197 (registering DOI) - 17 Oct 2024
Abstract
Background: Hereditary transthyretin-related amyloidosis is a clinically heterogeneous autosomal dominant disease caused by pathogenic variants in the TTR gene (hATTR amyloidosis). Objective: The current study describes the demographic, clinical, and genetic characteristics of patients with suspected hATTR amyloidosis. Methods: This study [...] Read more.
Background: Hereditary transthyretin-related amyloidosis is a clinically heterogeneous autosomal dominant disease caused by pathogenic variants in the TTR gene (hATTR amyloidosis). Objective: The current study describes the demographic, clinical, and genetic characteristics of patients with suspected hATTR amyloidosis. Methods: This study is part of the “Hereditary transthyretin-related amyloidosis and longitudinal monitoring of TTR-positive patients” (TRAMmoniTTR) study. This study included 3167 participants, along with their clinical details. Principal component (PC) analysis was used to analyze their clinical symptomatology. Next-generation sequencing of the TTR gene was performed and genotype–phenotype relationships were investigated. We compared the demographic and clinical characteristics using the principal components (PCs) and also compared participants with and without the TTR pathogenic variants. Results: We identified five main clinical phenotypes out of 22 single symptoms that explained 49% of the variation. The first two PCs referred to polyneuropathy and cardiomyopathy. We found significant differences between gender and PC-polyneuropathy and PC-cardiomyopathy, with male over-representation in the higher quantiles of PC-polyneuropathy and male under-representation in the lowest quantiles of PC-cardiomyopathy. We identified 92 participants with hATTR (3%), exhibiting 17 unique heterozygous TTR variants. The p.Val50Met variant was the most frequent. Furthermore, 503 participants (20%) were identified with ATTR and no relevant TTR variants (ATTRwt). We detected significant differences between the ATTRwt and hATTR groups, with male gender predominance in only the ATTRwt group and a positive family history of polyneuropathy and/or cardiomyopathy among the hATTR participants. Conclusions: The current clinical and genetic characterization of this cohort serves as a foundation for further longitudinal monitoring and assessment. Full article
(This article belongs to the Section Epidemiology & Public Health)
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Figure 1

Figure 1
<p>Frequency bar-plot of the main symptoms of participants from the two cohorts described in TRAMmoni<span class="html-italic">TTR</span> study 1.</p>
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<p>Distribution of TTR p.Val50Met heterozygotes and TTR+ without the p.Val50Met variant per quantile (1–4) of the main principal components (PC).</p>
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43 pages, 6902 KiB  
Article
Translation of Mutant Repetitive Genomic Sequences in Hirsutella sinensis and Changes in the Secondary Structures and Functional Specifications of the Encoded Proteins
by Xiu-Zhang Li, Yu-Ling Li, Ya-Nan Wang and Jia-Shi Zhu
Int. J. Mol. Sci. 2024, 25(20), 11178; https://doi.org/10.3390/ijms252011178 - 17 Oct 2024
Abstract
Multiple repetitive sequences of authentic genes commonly exist in fungal genomes. AT-biased genotypes of Ophiocordyceps sinensis have been hypothesized as repetitive pseudogenes in the genome of Hirsutella sinensis (GC-biased Genotype #1 of O. sinensis) and are generated through repeat-induced point mutation (RIP), [...] Read more.
Multiple repetitive sequences of authentic genes commonly exist in fungal genomes. AT-biased genotypes of Ophiocordyceps sinensis have been hypothesized as repetitive pseudogenes in the genome of Hirsutella sinensis (GC-biased Genotype #1 of O. sinensis) and are generated through repeat-induced point mutation (RIP), which is charactered by cytosine-to-thymine and guanine-to-adenine transitions, concurrent epigenetic methylation, and dysfunctionality. This multilocus study examined repetitive sequences in the H. sinensis genome and transcriptome using a bioinformatic approach and revealed that 8.2% of the authentic genes had repetitive copies, including various allelic insertions/deletions, transversions, and transitions. The transcripts for the repetitive sequences, regardless of the decreases, increases, or bidirectional changes in the AT content, were identified in the H. sinensis transcriptome, resulting in changes in the secondary protein structure and functional specification. Multiple repetitive internal transcribed spacer (ITS) copies containing multiple insertion/deletion and transversion alleles in the genome of H. sinensis were GC-biased and were theoretically not generated through RIP mutagenesis. The repetitive ITS copies were genetically and phylogenetically distinct from the AT-biased O. sinensis genotypes that possess multiple transition alleles. The sequences of Genotypes #2–17 of O. sinensis, both GC- and AT-biased, were absent from the H. sinensis genome, belong to the interindividual fungi, and differentially occur in different compartments of the natural Cordyceps sinensis insect–fungi complex, which contains >90 fungal species from >37 genera. Metatranscriptomic analyses of natural C. sinensis revealed the transcriptional silencing of 5.8S genes in all C. sinensis-colonizing fungi in natural settings, including H. sinensis and other genotypes of O. sinensis. Thus, AT-biased genotypes of O. sinensis might have evolved through advanced evolutionary mechanisms, not through RIP mutagenesis, in parallel with GC-biased Genotype #1 of H. sinensis from a common genetic ancestor over the long course of evolution. Full article
(This article belongs to the Section Molecular Biology)
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Figure 1

Figure 1
<p>Alignments of the of the triose–phosphate transporter protein sequences EQL01658 and EQL02567 of <span class="html-italic">H. sinensis</span> strain Co18. The protein sequence EQL01658 (440 aa) encoded by the authentic gene of <span class="html-italic">H. sinensis</span> strain Co18 was aligned with the protein sequence EQL02567 (330 aa) encoded by the genomic repetitive sequence. The sequences in red and blue in both the upper and lower segments indicate the repeat segments within the EQL01658 sequence, which align to the same sequence segment of EQL02567. The letters and “+” symbols in green between the sequence lines refer to the identical and conservatively evolved amino acid residues when comparing the 2 protein sequences, respectively, and the spaces indicate non-conservatively variable amino acids when comparing the 2 protein sequences.</p>
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<p>ExPASy ProtScale plots for α-helices (Panel <b>A</b>), β-sheets (Panel <b>B</b>), β-turns (Panel <b>C</b>) and coils (Panel <b>D</b>) of the triose-phosphate transporter protein. The protein sequence EQL01658 encoded by the authentic gene of <span class="html-italic">H. sinensis</span> strain L0106 was compared with the protein sequence EQL02567 encoded by the repetitive genomic sequence. The open boxes in blue in all the EQL01658 plots indicate the repeated protein sequence segments.</p>
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<p>Alignments of the authentic lipase/serine esterase sequence EQL04141 of the <span class="html-italic">H. sinensis</span> strain Co18 with the KAF4513393 and EQL03018 sequences encoded by the repetitive genomic sequences. The protein sequence EQL04141 (1161 aa) encoded by the authentic gene for the lipase/serine esterase of <span class="html-italic">H. sinensis</span> strain Co18 was compared with the protein sequences KAF4513393 (1132 aa) and EQL03018 (1116 aa) encoded by the genomic repetitive sequences for other lipases or esterases. The letters and “+” symbols in green immediately above the sequence lines in black for KAF4513393 and EQL03018 refer to the identical and conservatively evolved amino acid residues when comparing the protein sequences encoded by the repetitive sequences, respectively, and the spaces indicate non-conservatively variable amino acids when comparing the protein sequences.</p>
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<p>ExPASy ProtScale plots for α-helices (Panel <b>A</b>, containing 2 plots in pairs), β-sheets (Panel <b>B</b>), β-turns (Panel <b>C</b>), and coils (Panel <b>D</b>) of the esterase or lipase proteins. The authentic protein sequence EQL04141 encoded by the lipase/serine esterase gene of <span class="html-italic">H. sinensis</span> strain Co18 was compared with the protein sequence KAF4513393 encoded by a genomic repetitive sequence for other lipases or esterases.</p>
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<p>Alignments of the authentic β-lactamase/transpeptidase-like protein sequence EQL02970 of the <span class="html-italic">H. sinensis</span> strain Co18 with the KAF4504658 and EQL02706 sequences encoded by the repetitive genomic sequences. The protein sequence EQL02970 (531 aa) encoded by the authentic gene for the β-lactamase/transpeptidase-like protein of <span class="html-italic">H. sinensis</span> strain Co18 was compared with the protein sequences KAF4504658 (542 aa) and EQL02706 (558 aa) encoded by the repetitive genomic sequences. The letters and “+” symbols in green immediately below the repetitive sequence lines in black refer to the identical and conservatively evolved amino acid residues when comparing the protein sequences, respectively. The spaces in sequence lines in black stand for unmatched sequence gaps, and those in the green lines indicate non-conservatively variable amino acids when comparing the protein sequences.</p>
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<p>ExPASy ProtScale plots for α-helices (Panel <b>A</b>, containing 2 plots in pairs), β-sheets (Panel <b>B</b>), β-turns (Panel <b>C</b>), and coils (Panel <b>D</b>) of the β-lactamase/transpeptidase-like protein. The protein sequence EQL02970 encoded by the authentic gene encoding the β-lactamase/transpeptidase-like protein of <span class="html-italic">H. sinensis</span> strain Co18 was compared with the protein sequences KAF4504658 and EQL02706 encoded by the repetitive genomic sequences.</p>
Full article ">Figure 6 Cont.
<p>ExPASy ProtScale plots for α-helices (Panel <b>A</b>, containing 2 plots in pairs), β-sheets (Panel <b>B</b>), β-turns (Panel <b>C</b>), and coils (Panel <b>D</b>) of the β-lactamase/transpeptidase-like protein. The protein sequence EQL02970 encoded by the authentic gene encoding the β-lactamase/transpeptidase-like protein of <span class="html-italic">H. sinensis</span> strain Co18 was compared with the protein sequences KAF4504658 and EQL02706 encoded by the repetitive genomic sequences.</p>
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<p>ITS sequence alignment of AB067721, variable and less variable repetitive ITS copies within the genome JAAVMX000000000 of the <span class="html-italic">H. sinensis</span> strain IOZ07, and AT-biased genotypes of <span class="html-italic">O. sinensis</span>. The ITS sequences contained complete or partial ITS1-5.8S-ITS2 nrDNA segments. “GT” denotes the genotype of <span class="html-italic">O. sinensis</span>. The underlined sequence in black represents the 5.8S gene of the GC-biased Genotype #1 of <span class="html-italic">H. sinensis</span>. AB067721 is the ITS sequence of GC-biased Genotype #1 of <span class="html-italic">H. sinensis</span>. The genome assemblies JAAVMX010000002, JAAVMX010000018, and JAAVMX010000019 were obtained from the <span class="html-italic">H. sinensis</span> strain IOZ07 [<a href="#B49-ijms-25-11178" class="html-bibr">49</a>]. One copy each within JAAVMX010000002 and JAAVMX010000018, indicated in <span style="color:green">green</span>, shares 97.4% or 97.0% similarity with AB067721. JAAVMX010000019 contains 4 repetitive ITS copies, including 2 black sequences (19404→19894 and 32048→32537), which are 100% identical to AB067721, and 2 other <span style="color:#3333FF">blue </span>sequences (6233→6733 and 44729→45251), with 94.5% and 90.8% similarity to AB067721. The sequences in <span style="color:#C00000">red</span>, namely, AB067744, AB067740, KJ720572, KT232017, KT232019, and KT232010, represent AT-biased Genotypes #4–6 and #15–17 of <span class="html-italic">O. sinensis</span>, respectively. The underlined “GAATTC” sequences in <span style="color:#9900CC">purple </span>represent the EcoRI endonuclease cleavage sites in the sequences of GC-biased Genotype #1 and the GC-biased genome assembly JAAVMX000000000. EcoRI endonuclease cleavage sites are absent in AT-biased ITS sequences because of a single-base cytosine-to-thymine (C-to-T) transition. The hyphens indicate identical bases, and the spaces denote unmatched sequence gaps.</p>
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<p>A Bayesian majority rule consensus phylogenetic tree. “GT” represents the genotype. Twenty-eight ITS segments within the genome assemblies (ANOV01021709, LKHE01000582, LWBQ01000008, JAAVMX010000002, JAAVMX010000008, JAAVMX0100000017, JAAVMX0100000018, JAAVMX010000019, NGJJ01000573, NGJJ01000582, NGJJ01000796, NGJJ01000798, and NGJJ01000799) of <span class="html-italic">H. sinensis</span> strains (Co18, 1229, ZJB12195, IOZ07, and CC1406-203, respectively)) and 25 ITS sequences of GC-biased Genotypes #1–3 and #7–14 (in blue alongside the tree) and AT-biased Genotypes #4–6 and #15–17 of <span class="html-italic">O. sinensis</span> (in red alongside the tree) were analyzed phylogenetically via MrBayes v3.2.7 software (<span class="html-italic">cf.</span> <a href="#sec2dot4-ijms-25-11178" class="html-sec">Section 2.4</a>). Genome assemblies JAAVMX000000000 and NGJJ00000000 contain multiple repetitive ITS copies (<span class="html-italic">cf.</span> <a href="#ijms-25-11178-t005" class="html-table">Table 5</a>). The percent similarities of the genomic sequences of repetitive ITS copies with the representative Genotype #1 sequence (AB067721) are shown in green alongside the tree.</p>
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26 pages, 1292 KiB  
Article
Identification of Genetic Variants Associated with Hereditary Thoracic Aortic Diseases (HTADs) Using Next Generation Sequencing (NGS) Technology and Genotype–Phenotype Correlations
by Lăcrămioara Ionela Butnariu, Georgiana Russu, Alina-Costina Luca, Constantin Sandu, Laura Mihaela Trandafir, Ioana Vasiliu, Setalia Popa, Gabriela Ghiga, Laura Bălănescu and Elena Țarcă
Int. J. Mol. Sci. 2024, 25(20), 11173; https://doi.org/10.3390/ijms252011173 - 17 Oct 2024
Abstract
Hereditary thoracic aorta diseases (HTADs) are a heterogeneous group of rare disorders whose major manifestation is represented by aneurysm and/or dissection frequently located at the level of the ascending thoracic aorta. The diseases have an insidious evolution and can be encountered as an [...] Read more.
Hereditary thoracic aorta diseases (HTADs) are a heterogeneous group of rare disorders whose major manifestation is represented by aneurysm and/or dissection frequently located at the level of the ascending thoracic aorta. The diseases have an insidious evolution and can be encountered as an isolated manifestation or can also be associated with systemic, extra-aortic manifestations (syndromic HTADs). Along with the development of molecular testing technologies, important progress has been made in deciphering the heterogeneous etiology of HTADs. The aim of this study is to identify the genetic variants associated with a group of patients who presented clinical signs suggestive of a syndromic form of HTAD. Genetic testing based on next-generation sequencing (NGS) technology was performed using a gene panel (Illumina TruSight Cardio Sequencing Panel) or whole exome sequencing (WES). In the majority of cases (8/10), de novo mutations in the FBN1 gene were detected and correlated with the Marfan syndrome phenotype. In another case, a known mutation in the TGFBR2 gene associated with Loeys–Dietz syndrome was detected. Two other pathogenic heterozygous variants (one de novo and the other a known mutation) in the SLC2A10 gene (compound heterozygous genotype) were identified in a patient diagnosed with arterial tortuosity syndrome (ATORS). We presented the genotype–phenotype correlations, especially related to the clinical evolution, highlighting the particularities of each patient in a family context. We also emphasized the importance of genetic testing and patient monitoring to avoid acute aortic events. Full article
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Figure 1

Figure 1
<p>Genetic and dynamic (modifiable) risk factors for HTAD. VSCMs: vascular smooth muscle cells.</p>
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<p>The spectrum of genetic variants detected in patients with syndromic HTAD. <span class="html-italic">FBN1</span>: fibrillin 1; <span class="html-italic">TGFBR2:</span> transforming growth factor-beta receptor, type II; <span class="html-italic">SLC2A10</span>: solute carrier family 2 (facilitated glucose transporter), member 10.</p>
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<p>Family trees and data collected from patients with syndromic HTAD.</p>
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13 pages, 306 KiB  
Article
FADS1 Genetic Variant and Omega-3 Supplementation Are Associated with Changes in Fatty Acid Composition in Red Blood Cells of Subjects with Obesity
by Samantha Desireé Reyes-Pérez, Karina González-Becerra, Elisa Barrón-Cabrera, José Francisco Muñoz-Valle, Juan Armendáriz-Borunda and Erika Martínez-López
Nutrients 2024, 16(20), 3522; https://doi.org/10.3390/nu16203522 - 17 Oct 2024
Abstract
Introduction: Obesity is characterized by low-grade chronic inflammation, which can be modulated by lipid mediators derived from omega-3 (n-3) polyunsaturated fatty acids (PUFA). Obesity is a multifactorial disease, where genetic and environmental factors strongly interact to increase its development. In this [...] Read more.
Introduction: Obesity is characterized by low-grade chronic inflammation, which can be modulated by lipid mediators derived from omega-3 (n-3) polyunsaturated fatty acids (PUFA). Obesity is a multifactorial disease, where genetic and environmental factors strongly interact to increase its development. In this context, the FADS1 gene encodes the delta-5 desaturase protein, which catalyzes the desaturation of PUFA. The rs174547 genetic variant of FADS1 has been associated with alterations in lipid metabolism, particularly with decreases in eicosapentaenoic acid (EPA) and arachidonic acid (AA) concentrations. Objective: To analyze the effect of an n-3-supplemented diet on the fatty acid profile and composition in red blood cells (RBCs) of obese subjects carrying the rs174547 variant of the FADS1 gene. Methodology: Seventy-six subjects with obesity were divided into two groups: omega-3 (1.5 g of n-3/day) and placebo (1.5 g of sunflower oil/day). The dietary intervention consisted of a four-month follow-up. Anthropometric, biochemical, and dietary variables were evaluated monthly. The total fatty acid profile in RBC was determined using gas chromatography. The rs174547 variant was analyzed through allelic discrimination. Results: The n-3 index (O3I) increased at the end of the intervention in both groups. Subjects carrying the CC genotype showed significant differences (minor increase) in n-6, n-3, total PUFA, EPA, DHA, and the O3I in RBCs compared to TT genotype carriers in the n-3 group. Conclusions: The diet supplemented with EPA and DHA is ideal for providing the direct products that bypass the synthesis step affected by the FADS1 rs174547 variant in subjects carrying the CC genotype. The O3I confirmed an increase in n-3 fatty acids in RBCs at the end of the intervention. Full article
(This article belongs to the Section Nutritional Epidemiology)
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10 pages, 246 KiB  
Article
Seed Germination Responses to Temperature and Osmotic Stress Conditions in Brachiaria Forage Grasses
by Francuois L. Müller, Jabulile E. Leroko, Clement F. Cupido, Igshaan Samuels, Nothando Ngcobo, Elizabeth L. Masemola, Fortune Manganyi-Valoyi and Tlou Julius Tjelele
Grasses 2024, 3(4), 264-273; https://doi.org/10.3390/grasses3040019 - 17 Oct 2024
Abstract
Brachiaria forages are known to be drought-tolerant as mature plants, but no information about drought tolerance at the seed germination stage is currently available. This study aimed to determine the impacts of different temperature and moisture conditions on the seed germination characteristics of [...] Read more.
Brachiaria forages are known to be drought-tolerant as mature plants, but no information about drought tolerance at the seed germination stage is currently available. This study aimed to determine the impacts of different temperature and moisture conditions on the seed germination characteristics of five Brachiaria genotypes. Brachiaria seeds were germinated under constant temperatures of 5 °C–45 °C at increments of 5 °C. Within each temperature treatment, five osmotic treatments (0 MPa, −0.1 MPa, −0.3 MPa, −0.5 MPa, and −0.7 MPa) were applied, and germination was recorded daily for 20 days. The results showed that seed germination in all Brachiaria species was significantly negatively impacted (p < 0.05) by osmotic stress as well as by high and low temperatures. For all species, germination only occurred between 15 and 40 °C. Under optimum moisture conditions (0 MPa), the optimum germination temperatures for B. humidicola were 15 to 35 °C, for B. brizantha and B. nigropedata, they were 15 to 20 °C, for B. decumbens, they were 15 to 25 °C, and for the hybrid Brachiaria species, the optimum germination temperature was only 20 °C. In all species, seed germination decreased as moisture conditions became more limiting. Only B. humidicola germinated optimally at a high temperature (35 °C). At these temperatures, the species had more than 82% germination when moisture was not a limiting factor (0 MPa), but at low osmotic stress conditions (−0.1 MPa) at 30 °C, the germination of this species decreased to 67%. In conclusion, the results from this study indicate that the seed germination and early seedling establishment stages of Brachiaria grasses are only moderately tolerant to drought stress. Further work on early seedling responses to temperature and moisture stresses is needed to quantify early seedling responses to these stresses and to develop more detailed planting time guidelines for farmers. Full article
10 pages, 255 KiB  
Article
Mitigating Genotype–Environment Interaction Effects in a Genetic Improvement Program for Liptopenaeus vannamei
by Tran Thi Mai Huong, Nguyen Huu Hung, Vu Dinh Ty, Dinh Cong Tri and Nguyen Hong Nguyen
J. Mar. Sci. Eng. 2024, 12(10), 1855; https://doi.org/10.3390/jmse12101855 - 17 Oct 2024
Abstract
The genotype-by-environment interaction (G × E) might have crucial impacts on the performance and fitness of agricultural species, such as Pacific whiteleg shrimp (Litopenaeus vannamei). This study explores how enhancements in management practices can counteract G × E effects on growth [...] Read more.
The genotype-by-environment interaction (G × E) might have crucial impacts on the performance and fitness of agricultural species, such as Pacific whiteleg shrimp (Litopenaeus vannamei). This study explores how enhancements in management practices can counteract G × E effects on growth traits. We analyzed a selectively bred population of whiteleg shrimp spanning the latest two generations, encompassing 259 full-sib and half-sib families with 40,862 individual shrimp, measured for body weight and total length. Our analysis revealed moderate genetic correlations (0.60–0.65) between trait expressions in pond and tank environments, a significant improvement compared to earlier generations. Employing the average information-restricted maximum likelihood (REML) approach in mixed model analysis showed significant differences in heritability (h2) estimates between the two environments; however, the extent of these differences varied by trait (h2 = 0.68 in pond vs. 0.37 in tank for weight, and 0.41 vs. 0.67 for length). Our results indicate that G × E effects on growth traits in this population of L. vannamei were moderate but biologically significant. Consistent with our previous estimates in this population, genetic correlations between body weight and total length remained high (close to one) in pond and tank environments. The present findings collectively demonstrate that management improvements targeting stocking density, aeration, water quality, feeds, and feeding regimes mitigated the G × E effects on two economically significant traits in this population of whiteleg shrimp. Full article
(This article belongs to the Section Marine Biology)
15 pages, 2311 KiB  
Article
Differences in the Virulence Between Local Populations of Puccinia striiformis f. sp. tritici in Southwest China
by Fang Yang, Yunjing Wang, Zhiying Ji, Jiahui Liu, Mei Zhang, Yunliang Peng, Jie Zhao and Hongli Ji
Plants 2024, 13(20), 2902; https://doi.org/10.3390/plants13202902 - 17 Oct 2024
Abstract
The virulence analysis of Puccinia stiiformis f. sp. tritici (Pst), the cause of wheat stripe rust, is essential for predicting and managing the disease epidemic in Southwest China, where the wheat cultivation has significantly reduced in the past few decades due [...] Read more.
The virulence analysis of Puccinia stiiformis f. sp. tritici (Pst), the cause of wheat stripe rust, is essential for predicting and managing the disease epidemic in Southwest China, where the wheat cultivation has significantly reduced in the past few decades due to the impact of this disease. From 2020 to 2021, 196 Pst isolates were collected from Guizhou, Yunnan, and Sichuan. The virulence and race assessments were conducted using Chinese differential genotypes. Additionally, the resistance expression of 102 wheat lines was evaluated in 2021 in two disease nurseries located in Ningnan and Jiangyou. All the 45 Pst isolates from Guizhou and Yunnan belonged to pathogroup Hybrid 46, with 36 identified as race CYR32. Among the 69 isolates from the Liangshan Prefecture, 67 belonged to the Hybrid 46 group, while the remaining two were identified as race CYR34 in the G-22 group. Furthermore, all 79 isolates from the western Sichuan Basin belonged to the G-22 group, with 54 identified as race CYR34. The diversity indices of the Pst populations from Guizhou, Sichuan, and Yunnan exhibited a sequential decline. Virulence variation among the Pst populations from Yunnan, Guizhou, and the Ganzi-Liangshan region was minimal; however, significant virulence differences were observed when these populations were compared to those from the western Sichuan Basin. Results from disease nurseries indicated that Pst virulence was notably stronger in Ningnan compared to that in Jiangyou. The Sichuan Basin exhibits a notable diversity in Pst virulence, coupled with a more frequent genetic exchange occurring between the Liangshan Prefecture and the Yunnan-Guizhou Plateau. This information is essential for developing effective management strategies to mitigate the impact of wheat stripe rust in this region. Full article
(This article belongs to the Special Issue Plant Pathology and Epidemiology for Grain, Pulses, and Cereal Crops)
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<p>Sampling locations of <span class="html-italic">Puccinia stiiformis</span> f. sp. <span class="html-italic">tritici</span> (<span class="html-italic">Pst</span>)-infected leaves in the years 2020 and 2021. The red dots indicate the sampling sites in 2020, and the green dots indicate the sampling sites in 2021. The blue boundaries delineate the cities and prefectures of Sichuan Province, the green boundaries delineate the cities and prefectures of Yunnan Province, and the orange boundaries delineate the cities and prefectures of Guizhou Province.</p>
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<p>Phylogenetic tree of <span class="html-italic">P. striiformis</span> f. sp. <span class="html-italic">tritici</span> isolates collected in different regions of Southwest China based on the virulence data in 2020 and 2021. The isolates highlighted in pink were virulent to ‘Chuanmai 104’, and the isolates highlighted in green were avirulent to ‘Chuanmai 104’. Isolate codes begin with “20” or “21” indicate the sampling years 2020 and 2021, respectively. The letters “S”, “G”, and “Y” represent the provinces: Sichuan, Guizhou, and Yunnan, respectively. The capital letters that follow “20S” or “21S” represent cities in Sichuan, “MY” for Mianyang City, “GY” for Guangyuan City, “DY” for Deyang City, “LZ” for Luzhou City, “LS” for Liangshan Yi Autonomous Prefecture, and “GZ” for Ganzi Tibetan Autonomous Prefecture; the lowercase letters that follow city names represent counties, districts, or cities belonging to the city: “yx” for Youxian District, “jy” for Jiangyou City, “yt” for Yanting County, “zt” for Zitong County, “st” for Santai County, “zj” for Zhongjiang County, “jg” for Jiange County, “hj” for Hejiang County, “hd” for Huidong County, “nn” for Ningnan County, and “df” for Daofu County. The lowercase letters that follow “20G” or “21G” represent cities in Guizhou: “pz” for Panzhou City; “lps” for Liupanshui City, “gy” for Guiyang City, and “hz” for Hezhang County. The lowercase letters that follow “21Y” represent cities in Yunnan: “cx” for Chuxiong Yi Autonomous Prefecture, “hh” for Honghe Hani and Yi Autonomous Prefecture, and “qj” for Qujing City.</p>
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<p>Virulence frequency of <span class="html-italic">Pst</span> isolates from Southwest China in 2020 and 2021 to the 19 Chinese differential genotypes and the supplemental differential genotype ‘Chuanmai 104’. SC-B, Sichuan Basin; SC-L+G, Liangshan Prefecture and Ganzi Prefecture, Sichuan Province; YN, Yunnan Province; GZ, Guizhou Province.</p>
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<p>Principal coordinate analysis (PCoA) of the <span class="html-italic">Pst</span> virulence from Sichuan Basin (SC), Ganzi-Liangshan areas of Sichuan (SC_L+G), Yunnan (YN), and Guizhou (GZ).</p>
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13 pages, 804 KiB  
Article
Influence of Common Gene Variants on Lipid Levels and Risk of Coronary Heart Disease in Afro-Caribbeans
by Laurent Larifla, Valerie Bassien-Capsa, Fritz-Line Velayoudom, Vaneva Chingan-Martino, Yaovi Afassinou, Yann Ancedy, Olivier Galantine, Valérie Galantine, Livy Nicolas, Frédérique Martino, Patrick Numeric, Lydia Foucan and Steve E. Humphries
Int. J. Mol. Sci. 2024, 25(20), 11140; https://doi.org/10.3390/ijms252011140 - 17 Oct 2024
Viewed by 79
Abstract
A lower mortality rate from coronary artery disease (CAD) and a more favourable lipid profile have been reported in Afro-Caribbeans compared with people of European ancestry. The aim of this study was to determine whether common lipid variants identified in other populations are [...] Read more.
A lower mortality rate from coronary artery disease (CAD) and a more favourable lipid profile have been reported in Afro-Caribbeans compared with people of European ancestry. The aim of this study was to determine whether common lipid variants identified in other populations are associated with lipid levels and CAD in Afro-Caribbeans. We studied 705 Afro-Caribbeans (192 with CAD) who were genotyped for 13 lipid-associated variants. We calculated three polygenic risk scores (PRSs) for elevated LDL (LDL-PRS), decreased HDL (HDL-PRS), and elevated triglycerides (TG-PRS). LDL-PRS, HDL-PRS, and TG-PRS were associated with LDL, HDL, and TG levels, respectively. The LDL-PRS was positively associated with LDL > 2.6 mmol/L and with LDL > 3.0 mmol/L with ORs (odds ratios) of 1.33 (95% confidence interval (CI) = 1.14–1.56) and 1.40 (CI = 1.21–1.62), respectively. The HDL-PRS was associated with a low HDL category (HDL < 1.03 mmol/L) with an OR of 1.3 (CI = 1.04–1.63) and inversely associated with a high HDL category (HDL > 1.55 mmol/L) with an OR of 0.79 (CI = 0.65–0.96). The LDL-PRS was positively associated with CAD after adjustment for age, gender, hypertension, diabetes, and smoking with an OR of 1.27 (CI = 1.06–1.51) but not the HDL-PRS nor the TG-PRS. Results of the present study indicate that common lipid variants are associated with lipid levels and prevalent CAD in Afro-Caribbeans. Full article
(This article belongs to the Special Issue Apolipoproteins and Lipoproteins in Health and Disease, 3rd Edition)
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<p>The association between the LDL-PRS divided into quartiles and coronary heart disease. Each quartile of the LDL-PRS, from the first (Q1) to the fourth (Q4), is shown along the x axis. Odds ratios, with the error bars representing the 95% confidence intervals, are plotted on the y axis and were calculated from logistic regression models incorporating age, sex, hypertension, diabetes, and smoking. First quartile is the reference group. <span class="html-italic">p</span> values for the second, third, and fourth quartiles are 0.20, 0.04, and 0.04, respectively.</p>
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<p>Incremental contribution of the LDL-PRS in coronary artery disease discrimination using receiver operating characteristic area under the curve. Predictions are based on logistic regression models incorporating the LDL-PRS and/or cardiovascular risk factors (age, sex, diabetes, hypertension, and smoking). Areas under the curves (AUCs) are shown on the right side of this figure. CRF: cardiovascular risk factors; PRS: polygenic risk score 3.</p>
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23 pages, 3000 KiB  
Article
Extreme-Phenotype Genome-Wide Association Analysis for Growth Traits in Spotted Sea Bass (Lateolabrax maculatus) Using Whole-Genome Resequencing
by Zhaolong Zhou, Guangming Shao, Yibo Shen, Fengjiao He, Xiaomei Tu, Jiawen Ji, Jingqun Ao and Xinhua Chen
Animals 2024, 14(20), 2995; https://doi.org/10.3390/ani14202995 - 17 Oct 2024
Viewed by 120
Abstract
Spotted sea bass (Lateolabrax maculatus) is an important marine economic fish in China, ranking third in annual production among marine fish. However, a declined growth rate caused by germplasm degradation has severely increased production costs and reduced economic benefits. There is [...] Read more.
Spotted sea bass (Lateolabrax maculatus) is an important marine economic fish in China, ranking third in annual production among marine fish. However, a declined growth rate caused by germplasm degradation has severely increased production costs and reduced economic benefits. There is an urgent need to develop the fast-growing varieties of L. maculatus and elucidate the genetic mechanisms underlying growth traits. Here, whole-genome resequencing technology combined with extreme phenotype genome-wide association analysis (XP-GWAS) was used to identify candidate markers and genes associated with growth traits in L. maculatus. Two groups of L. maculatus, consisting of 100 fast-growing and 100 slow-growing individuals with significant differences in body weight, body length, and carcass weight, underwent whole-genome resequencing. A total of 4,528,936 high-quality single nucleotide polymorphisms (SNPs) were used for XP-GWAS. These SNPs were evenly distributed across all chromosomes without large gaps, and the average distance between SNPs was only 175.8 bp. XP-GWAS based on the Bayesian-information and Linkage-disequilibrium Iteratively Nested Keyway (Blink) and Fixed and random model Circulating Probability Unification (FarmCPU) identified 50 growth-related markers, of which 17 were related to body length, 19 to body weight, and 23 to carcass weight. The highest phenotypic variance explained (PVE) reached 15.82%. Furthermore, significant differences were observed in body weight, body length, and carcass weight among individuals with different genotypes. For example, there were highly significant differences in body weight among individuals with different genotypes for four SNPs located on chromosome 16: chr16:13133726, chr16:13209537, chr16:14468078, and chr16:18537358. Additionally, 47 growth-associated genes were annotated. These genes are mainly related to the metabolism of energy, glucose, and lipids and the development of musculoskeletal and nervous systems, which may regulate the growth of L. maculatus. Our study identified growth-related markers and candidate genes, which will help to develop the fast-growing varieties of L. maculatus through marker-assisted breeding and elucidate the genetic mechanisms underlying the growth traits. Full article
(This article belongs to the Section Aquatic Animals)
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<p>The comparison of growth traits between the fast-growing and slow-growing <span class="html-italic">L. maculatus</span> and the distribution of the SNPs used for GWAS on the chromosomes. (<b>A</b>–<b>C</b>) The comparison of body weight (<b>A</b>), body length (<b>B</b>) and carcass weight (<b>C</b>) between the 100 fast-growing <span class="html-italic">L. maculatus</span> and the 100 slow-growing ones. (<b>D</b>) The distribution of SNPs used for GWAS on the chromosomes. The redder the color, the more SNPs within a 1 Mb region; the bluer the color, the fewer SNPs. **** refers to <span class="html-italic">p</span> value &lt; 0.0001.</p>
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<p>Q–Q plot for body weight, body length, and carcass weight based on the Blink and FarmCPU model. (<b>A</b>) Quantile–quantile plot for body weight based on the Blink model. (<b>B</b>) Quantile–quantile plot for body length based on the Blink model. (<b>C</b>) Quantile–quantile plot for carcass weight based on the Blink model. (<b>D</b>) Quantile–quantile plot for body weight based on the FarmCPU model. (<b>E</b>) Quantile–quantile plot for body length based on the FarmCPU model. (<b>F</b>) Quantile–quantile plot for carcass weight based on the FarmCPU model.</p>
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<p>Manhattan plot for the GWAS of body weight, body length, and carcass weight in <span class="html-italic">L. maculatus</span>. (<b>A</b>,<b>B</b>) Manhattan plot of GWAS for body weight based on the Blink (<b>A</b>) and FarmCPU (<b>B</b>) models. (<b>C</b>,<b>D</b>) Manhattan plot of GWAS for body length based on the Blink (<b>C</b>) and FarmCPU (<b>D</b>) models. (<b>E</b>,<b>F</b>) Manhattan plot of GWAS for carcass weight based on the Blink (<b>E</b>) and FarmCPU (<b>F</b>) models.</p>
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<p>Boxplot of body weight for different genotypes of <span class="html-italic">L. maculatus</span>. The <span class="html-italic">y</span>-axis represents the body weight of the individuals with different genotypes, and different colors indicate different genotypes, with the “n” representing the number of individuals for each genotype. (<b>A</b>) Body weight of individuals with different genotypes for the SNP on chr16:13133726; (<b>B</b>) Body weight of individuals with different genotypes for the SNP on chr16:13209537; (<b>C</b>) Body weight of individuals with different genotypes for the SNP on chr16:14468078; (<b>D</b>) Body weight of individuals with different genotypes for the SNP on chr16:18537358.</p>
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<p>Protein–protein interaction network and tissue expression profile analysis of the growth-related candidate genes. (<b>A</b>) The protein–protein interaction network of the growth-related candidate genes. (<b>B</b>–<b>F</b>) Tissue expression profile analysis of <span class="html-italic">PTPRA</span> (<b>B</b>), <span class="html-italic">SLC7A8</span> (<b>C</b>), <span class="html-italic">PARK2</span> (<b>D</b>), <span class="html-italic">ZNF436</span> (<b>E</b>), and <span class="html-italic">SORCS2</span> (<b>F</b>).</p>
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11 pages, 584 KiB  
Article
Association of SLC19A1 Gene Polymorphisms and Its Regulatory miRNAs with Methotrexate Toxicity in Children with Acute Lymphoblastic Leukemia
by Vasiliki Karpa, Kallirhoe Kalinderi, Eleni Gavriilaki, Vasiliki Antari, Emmanuil Hatzipantelis, Theodora Katopodi, Liana Fidani and Athanasios Tragiannidis
Curr. Issues Mol. Biol. 2024, 46(10), 11537-11547; https://doi.org/10.3390/cimb46100685 (registering DOI) - 16 Oct 2024
Viewed by 142
Abstract
Methotrexate (MTX) is an anti-folate chemotherapeutic agent that is considered to be a gold standard in Acute Lymphoblastic Leukemia (ALL) therapy. Nevertheless, toxicities induced mainly due to high doses of MTX are still a challenge for clinical practice. MTX pharmacogenetics implicate various genes [...] Read more.
Methotrexate (MTX) is an anti-folate chemotherapeutic agent that is considered to be a gold standard in Acute Lymphoblastic Leukemia (ALL) therapy. Nevertheless, toxicities induced mainly due to high doses of MTX are still a challenge for clinical practice. MTX pharmacogenetics implicate various genes as predictors of MTX toxicity, especially those that participate in MTX intake like solute carrier family 19 member 1 (SLC19A1). The aim of the present study was to evaluate the association between SLC19A1 polymorphisms and its regulatory miRNAs with MTX toxicity in children with ALL. A total of 86 children with ALL were included in this study and were all genotyped for rs2838958, rs1051266 and rs1131596 SLC19A1 polymorphisms as well as the rs56292801 polymorphism of miR-5189. Patients were followed up (48, 72 and 96 h) after treatment with MTX in order to evaluate the presence of MTX-associated adverse events. Our results indicate that there is a statistically significant correlation between the rs1131596 SLC19A1 polymorphism and the development of MTX-induced hepatotoxicity (p = 0.03), but there is no significant association between any of the studied polymorphisms and mucositis or other side effects, such as nausea, emesis, diarrhea, neutropenia, skin rash and infections. In addition, when genotype TT of rs1131596 and genotype AA of rs56292801 are both present in a patient then there is a higher risk of developing severe hepatotoxicity (p = 0.0104). Full article
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<p>ROC curve: age of ALL onset versus hepatotoxicity development.</p>
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<p>Bar chart: correlation between hepatotoxicity and age group.</p>
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22 pages, 3581 KiB  
Article
Immunopeptidomics of Salmonella enterica Serovar Typhimurium-Infected Pig Macrophages Genotyped for Class II Molecules
by Carmen Celis-Giraldo, Carlos F. Suárez, William Agudelo, Nieves Ibarrola, Rosa Degano, Jaime Díaz, Raúl Manzano-Román and Manuel A. Patarroyo
Biology 2024, 13(10), 832; https://doi.org/10.3390/biology13100832 - 16 Oct 2024
Viewed by 415
Abstract
Salmonellosis is a zoonotic infection that has a major impact on human health; consuming contaminated pork products is the main source of such infection. Vaccination responses to classic vaccines have been unsatisfactory; that is why peptide subunit-based vaccines represent an excellent alternative. Immunopeptidomics [...] Read more.
Salmonellosis is a zoonotic infection that has a major impact on human health; consuming contaminated pork products is the main source of such infection. Vaccination responses to classic vaccines have been unsatisfactory; that is why peptide subunit-based vaccines represent an excellent alternative. Immunopeptidomics was used in this study as a novel approach for identifying antigens coupled to major histocompatibility complex class II molecules. Three homozygous individuals having three different haplotypes (Lr-0.23, Lr-0.12, and Lr-0.21) were thus selected as donors; peripheral blood macrophages were then obtained and stimulated with Salmonella typhimurium (MOI 1:40). Although similarities were observed regarding peptide length distribution, elution patterns varied between individuals; in total, 1990 unique peptides were identified as follows: 372 for Pig 1 (Lr-0.23), 438 for Pig 2 (Lr.0.12) and 1180 for Pig 3 (Lr.0.21). Thirty-one S. typhimurium unique peptides were identified; most of the identified peptides belonged to outer membrane protein A and chaperonin GroEL. Notably, 87% of the identified bacterial peptides were predicted in silico to be elution ligands. These results encourage further in vivo studies to assess the immunogenicity of the identified peptides, as well as their usefulness as possible protective vaccine candidates. Full article
(This article belongs to the Section Infection Biology)
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<p>Comparative peptide length distribution: (<b>a</b>) frequency peptide; (<b>b</b>) peptide percentage.</p>
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<p>GibbsCluster 2.0 results for the dataset for peptides obtained per pig in this study. Sequences: the number of peptides used for each analysis. Group: the number of peptides selected by the server for creating elution motifs. Trash cluster: the percentage of peptides removed as being outliers, considering a 2 threshold.</p>
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<p>Distribution of eluted ligand (EL) prediction, considering total data percentages: strong EL (&lt;1%Rank), weak EL (&lt;5%Rank), and no EL (≥5%Rank).</p>
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<p>Comparison of the logos obtained, considering only peptides predicted to be eluted ligands (EL &lt; 5%Rank). All the results were considered for creating the MHC II (<b>a</b>), SLA-DR (<b>b</b>), and SLA-DQ (<b>c</b>) logos for each pig.</p>
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<p>Comparison of the logos obtained, considering only peptides predicted to be eluted ligands (EL &lt; 5%Rank). All the results were considered for creating the MHC II (<b>a</b>), SLA-DR (<b>b</b>), and SLA-DQ (<b>c</b>) logos for each pig.</p>
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<p>A MixMHC2pred motif was predicted from the haplotype sequences for the pigs used in this study.</p>
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<p>A NetMHCIIpan-4.0 motif was predicted from the haplotype sequences from the pigs used in this study.</p>
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<p>Distribution of Salmonella enterica gene, serovar Typhimurium enrichment identified in this study.</p>
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13 pages, 648 KiB  
Article
Polymorphism rs259983 of the Zinc Finger Protein 831 Gene Increases Risk of Superimposed Preeclampsia in Women with Gestational Diabetes Mellitus
by Nataliia Karpova, Olga Dmitrenko and Malik Nurbekov
Int. J. Mol. Sci. 2024, 25(20), 11108; https://doi.org/10.3390/ijms252011108 - 16 Oct 2024
Viewed by 211
Abstract
Hypertensive disorders of pregnancy (HDP) are a great danger. A previous GWAS found a relationship between rs259983 of the ZNF831 gene and HDP, such as for chronic hypertension (CHTN) and preeclampsia (PE). We conducted the case-control study to determine the association between rs259983 [...] Read more.
Hypertensive disorders of pregnancy (HDP) are a great danger. A previous GWAS found a relationship between rs259983 of the ZNF831 gene and HDP, such as for chronic hypertension (CHTN) and preeclampsia (PE). We conducted the case-control study to determine the association between rs259983 of the ZNF831 gene and HDP in women with Gestational Diabetes Mellitus (GDM). For target genotyping, we developed primers and TaqMan probes. In analyzing the population, we did not manage to find a relationship between PE and rs259983 of the ZNF831 gene. Additional study of women with PE and PE superimposed on CHTN (SIPE) establishes an association between rs259983 of the ZNF831 gene only with SIPE. Carriers of CC genotypes have been discovered to have a 5.05 times higher risk of SIPE development in women with GDM. Full article
(This article belongs to the Special Issue Molecular Pathogenesis and Treatment of Pregnancy Complications)
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<p>ROC curves for multiple logistic regression models: (<b>a</b>) Model 1 adjusted for obesity; (<b>b</b>) Model 2 adjusted for CHTN; (<b>c</b>) Model 3 adjusted for obesity and CHTN; (<b>d</b>) Model 4 adjusted for IDA; AUC (Area Under the Curve): AUC is a single scalar value that summarizes the performance of a binary classifier across all classification thresholds. It represents the probability that a randomly chosen positive instance is ranked higher than a randomly chosen negative instance. An AUC of 0.5 indicates no discrimination (similar to random guessing), while an AUC of 1.0 indicates perfect discrimination; The dots on the ROC curve represent different threshold values used to classify the predictions into positive and negative classes. Each violet dot corresponds to a specific sensitivity (true-positive rate) and specificity (false-positive rate) for that threshold. The straight diagonal pink line on the ROC curve represents the performance of a random classifier. It serves as a baseline for comparison; any classifier that performs better than this diagonal line has some discriminative power, while a classifier that falls below it performs worse than random guessing.</p>
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14 pages, 1513 KiB  
Article
Genotype-Dependent Variations in Oxidative Stress Markers and Bioactive Proteins in Hereford Bulls: Associations with DGAT1, LEP, and SCD1 Genes
by Piotr Kostusiak, Emilia Bagnicka, Beata Żelazowska, Magdalena Zalewska, Tomasz Sakowski, Jan Slósarz, Marcin Gołębiewski and Kamila Puppel
Biomolecules 2024, 14(10), 1309; https://doi.org/10.3390/biom14101309 - 16 Oct 2024
Viewed by 300
Abstract
The objective of this study is to assess the influence of genetic polymorphisms in DGAT1, LEP, and SCD1 on the oxidative stress biomarkers and bioactive protein levels in Hereford bulls. A total of sixty-eight bulls were analyzed at 22 months of [...] Read more.
The objective of this study is to assess the influence of genetic polymorphisms in DGAT1, LEP, and SCD1 on the oxidative stress biomarkers and bioactive protein levels in Hereford bulls. A total of sixty-eight bulls were analyzed at 22 months of age to assess growth metrics and carcass quality, with a focus on polymorphisms in these genes. The key markers of oxidative stress, including malondialdehyde (MDA), and the activities of antioxidant enzymes such as glutathione reductase (GluRed), glutathione peroxidase (GPx), and superoxide dismutase (SOD) were measured, alongside bioactive compounds like taurine, carnosine, and anserine. The results show that the TT genotype of DGAT1 is linked to significantly higher MDA levels, reflecting increased lipid peroxidation, but is also associated with higher GluRed and GPx activities and elevated levels of taurine, carnosine, and anserine, suggesting an adaptive response to oxidative stress. The LEP gene analysis revealed that the CC genotype had the highest MDA levels but also exhibited increased GPx and SOD activities, with the CT genotype showing the highest SOD activity and the TT genotype the highest total antioxidant status (TAS). The SCD1 AA genotype displayed the highest activities of GluRed, GPx, and SOD, indicating a more effective antioxidant defence, while the VA genotype had the highest MDA levels and the VV genotype showed lower MDA levels, suggesting protective effects against oxidative damage. These findings highlight genotype specific variations in the oxidative stress markers and bioactive compound levels, providing insights into the genetic regulation of oxidative stress and antioxidant defences, which could inform breeding strategies for improving oxidative stress resistance in livestock and managing related conditions. Full article
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<p>The effect of DGAT1 (CC, CT, TT), LEP (CC, CT, TT), SCD1 (AA, VA, VV) genetic variants on the levels of (<b>A</b>) glutathione reductase (GluRed), (<b>B</b>) glutathione peroxidase (GPx), (<b>C</b>) superoxide dismutase (SOD), (<b>D</b>) malondialdehyde (MDA), and (<b>E</b>) total antioxidant status (TAS) was assessed. Data are presented as figures of Last Square Means ± SEM; values with the same letters in one gene group differ significantly: upper case indicates <span class="html-italic">p</span> ≤ 0.01; lower case indicates <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>The effect of the genetic variants of DGAT1 (CC, CT, TT), LEP (CC, CT, TT), SCD1 (AA, VA, VV) on levels of (<b>A</b>) anserine, (<b>B</b>) carnosine, (<b>C</b>) coenzyme Q10, (<b>D</b>) taurine. Data presented as figures of Last Square Means ± SEM; values with the same letters in one gene group differ significantly: upper case indicates <span class="html-italic">p</span> ≤ 0.01; lower case indicates <span class="html-italic">p</span> ≤ 0.05.</p>
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