Allele Frequencies Of Polymorphisms Research Articles

Ferroptosis regulates hemolysis in stored murine and human red blood cells

AbstractRed blood cell (RBC) metabolism regulates hemolysis during aging in vivo and in the blood bank. However, the genetic underpinnings of RBC metabolic heterogeneity and extravascular hemolysis at population scale are incompletely understood. On the basis of the breeding of 8 founder strains with extreme genetic diversity, the Jackson Laboratory diversity outbred population can capture the impact of genetic heterogeneity in like manner to population-based studies. RBCs from 350 outbred mice, either fresh or stored for 7 days, were tested for posttransfusion recovery, as well as metabolomics and lipidomics analyses. Metabolite and lipid quantitative trait loci (QTL) mapped >400 gene-metabolite associations, which we collated into an online interactive portal. Relevant to RBC storage, we identified a QTL hotspot on chromosome 1, mapping on the region coding for the ferrireductase Steap3, a transcriptional target to p53. Steap3 regulated posttransfusion recovery, contributing to a ferroptosis-like process of lipid peroxidation, as validated via genetic manipulation in mice. Translational validation of murine findings in humans, STEAP3 polymorphisms were associated with RBC iron content, lipid peroxidation, and in vitro hemolysis in 13 091 blood donors from the Recipient Epidemiology and Donor Evaluation Study. QTL analyses in humans identified a network of gene products (fatty acid desaturases 1 and 2, epoxide hydrolase 2, lysophosphatidylcholine acetyl-transferase 3, SLC22A16, glucose 6-phosphate dehydrogenase, ELOVL, and phospholipase A2 group VI) associated with lower levels of oxylipins. These polymorphisms were prevalent in donors of African descent and were linked to allele frequency of hemolysis-linked polymorphisms for Steap3 or p53. These genetic variants were also associated with lower hemoglobin increments in thousands of single-unit transfusion recipients from the vein-to-vein database.

Comparison of MCM6 rs4988235 Polymorphism Allele and Genotype Frequencies in Professional Football Players and a Sedentary Control Group

Comparison of MCM6 rs4988235 Polymorphism Allele and Genotype Frequencies in Professional Football Players and a Sedentary Control Group

Genome-Wide Association Study Identifies Genetic Polymorphisms for Folate-Related Biomarkers in Chinese Preconception Women

BackgroundSingle-nucleotide polymorphism (SNP) allele frequencies, dietary habits, and folate status and their associations vary across ethnic populations. Little is known about the SNPs accounting for variations of folate-related biomarkers for Chinese preparing-for-pregnant females. ObjectivesWe aimed to identify SNPs contributing to RBC and serum folate, vitamin B-12, and homocysteine concentrations in Chinese female preconception population. MethodsA genome-wide association study was conducted on 1000 randomly selected preconception Chinese women from the Shanghai Preconception Cohort. SNPs were genotyped using Illumina chips, and associations with biomarkers were assessed using simple linear regression models under the assumption of an additive genetic model. Genome-wide significance was considered at P < 10−7. ResultsThe MTHFR rs1801133 was the major genetic coding variant contributing to RBC folate, serum folate, and homocysteine concentrations (P = 2.28 × 10−16; P = 8.85 × 10−8, and P = 2.46 × 10−13, repsectively). It is associated with increased RBC folate (β: 0.154 per additional risk allele after log transform), decreased serum folate (β: −0.951 per additional risk allele), and increased serum homocysteine concentrations (β: 1.153 per additional risk allele). The predominant SNP associated with serum folate was rs147162222 in NTRK2 (P = 2.55 × 10−8), although that associated with homocysteine was rs77025184 located between PDE7B and LINC00271 (P = 4.91 × 10−17). For vitamin B-12, FUT2 rs1047781 was the dominant genetic variant (P = 1.59 × 10−10). The numbers of signals with a P value of <10−7 for RBC folate, serum folate, vitamin B-12, and homocysteine were 12, 18, 8, and 614, respectively. ConclusionsThis study represents the first genome-wide association study focusing on folate-related biomarkers in a Chinese preparing-for-pregnant female population. The contributions of dominent SNPs to each biomarker are partly different from other populations. The rs1801133 (C677T) in MTHFR is the predominant genetic variant contributing to RBC folate and rs1047781 (A385T) in FUT2 as the primary one explaining vitamin B-12. Notably, the intronic rs147162222 and noncoding rs77025184 are the predominant SNPs for serum folate and homocysteine, respectively.

Allelic frequencies of polymorphism c.521T>C (rs4149056) favor preemptive SLCO1B1 genotyping in Armenia.

Statins represent an important pharmacological factor for the prevention of cardiovascular diseases but may also cause severe cases of myotoxicity. Numerous studies have described the association of the SLCO1B1 gene variant c.521C with statin-induced myopathy across different populations. This study aimed at evaluating the usefulness of preemptive SLCO1B1 genotyping in Armenia. A total of 202 Armenian patients referred to the Center of Medical Genetics and Primary Health Care in Yerevan for upper respiratory tract infection between January and May 2022 were included in this study. Genotyping for SLCO1B1 c.521T>C (rs4149056) was performed using a commercially available real-time PCR assay (RealFast™). In total, 3/202 (1.5 %) samples were C/C homozygotes and 52/202 (25.7 %) were T/C heterozygotes, associated with a high and increased risk for statin-induced myopathy, respectively. The SLCO1B1 c.521C allelic frequency was 14.4 %. The observed allele frequency of 14.4 % for thec.521C variant is slightly lower than frequencies reportedfrom Europe, but relatively high compared to Asianpopulations, suggesting that preemptive SLCO1B1 genotyping could be a useful approach for the reduction of statin-induced adverse effects in Armenia.

FCGR3A F158V alleles frequency differs in multiple myeloma patients from healthy population

ABSTRACT FCGR3A presents a single nucleotide polymorphism at location 158 (V/F), which affects its binding to the fragment crystallizable (Fc) of antibodies (Abs). FcγRIIIa-158 V allotype has the highest affinity and is associated with a better clinical response to IgG1 monoclonal Abs (mAb) treatment. We compared the allele frequency of FCGR3A-F158V polymorphism in cohorts of patients with B-cell lymphoproliferative disorders, including multiple myeloma (MM), monoclonal gammopathy of undetermined significance (MGUS), non-Hodgkin lymphoma (NHL), and B-cell chronic leukemia (B-CLL). FCGR3A-158F homozygous were enriched and tended to be in MM and MGUS patients, respectively; but neither in B-CLL nor in NHL patients. We identified a significantly lower concentration of CD8 T-cells and resting memory CD4 T-cells in MM patients bone marrow with the F/F genotype, associated with an increase in the macrophage percentage. In contrast, natural killer cells increased in V/V homozygous patients. This suggests a deregulation of the immune microenvironment in FCGR3A-F/F homozygous patients. However, we did not observe difference in response following treatment combining chemotherapy associated or not with daratumumab, an IgG1 mAb direct against CD38. Our findings suggest that FCGR3A F158V polymorphism can regulate the immune environment and affect the development of tumor plasma cells.

Inflammatory Biomarkers in Patients With Type 2 Diabetes Mellitus and Heart Failure With Preserved Ejection Faction.

To verify the relationship between gene polymorphisms of tumor necrosis factor alpha (TNF-α) and interleukin-6 (IL-6) with inflammation markers and codependent metabolic variables in patients with type 2 diabetes mellitus and chronic heart failure (CHF). This study included 154 patients (mean age, 69.1±3.2 years). The control group consisted of 47 patients with metabolic syndrome (MS) without CHF; the 2nd group included 56 patients with CHF with preserved ejection fraction (CHFpEF); and the 3rd group consisted of 51 patients with CHF with reduced ejection fraction (CHFrEF). The rs1800629 polymorphism of the TNF-α gene (TNF-α: G308A) was studied in real time by the polymerase chain reaction (PCR) method and the rs1800795 polymorphism of the IL-6 gene (IL-6: 174 G&gt;C) was studied by PCR with the electrophoretic detection. The frequencies of polymorphic alleles were compared with the clinical blood test results, plasma concentrations of C-reactive protein (CRP), TNF-α, leptin, and fibrinogen. Differences between the groups were determined using the F test. Relationships between individual studied parameters were identified using the regression analysis. In most patients, the occurrence of gene polymorphisms was eident as increased plasma concentrations of biomarkers. An association was found between the TNF-α gene polymorphism (G308A) and an increase in plasma TNF-α and between the IL-6 gene polymorphism (174 C&gt;G) and an increase in plasma CRP. In the CHFpEF group, the rs1800629 gene polymorphism was observed in 55% of patients, among whom 93% had increased TNF-α. The rs1800795 gene polymorphism was observed in 82% of CHFpEF patients, among whom 21% had increased CRP. In the CHFrEF group, the G308A transition in the TNF-α gene was observed in 53% of patients; an increase in the respective cytokine was noted in 67% of patients; the IL-6 gene polymorphism 174 C&gt;G was found in 78%, however, only 14% of patients with this polymorphism had also increased CRP. In the control group, the TNF-α G308A gene polymorphism was found in 30% of patients, while an increase in free TNF-α was associated with this polymorphism in 50% of patients; the IL-6 174 C&gt;G gene polymorphism was detected in 78%, while no increase in the CRP level was observed in this group. This demonstrates a high probability of the TNF-α G308A gene polymorphism occurrence in patients with CHF. Inflammatory markers are important predictors of CHF. The most significant predictor was the TNF-α G308A gene polymorphism, which was observed in more than 50% of patients, the majority of whom had an increase in plasma TNF-α.

Ethnic Differences, Lung Cancer Risk, and Association of NRF2 Gene Polymorphism with Gemcitabine-Based Chemotherapy.

The cancer burden is rising every year. Lung cancer is one of themost common cancers and non-small cell lung cancer is the most common type. Chemotherapy based on platinum drugs and third-generation nucleoside anti-metabolites such as gemcitabine are used widely. Gemcitabine has a complex metabolic pathway, with many mechanisms contributing to its cytotoxicity. Derangements in the metabolic pathway genes contribute to drug resistance and toxicity with this drug. Association studies including these genetic polymorphisms in the metabolic pathway, clinical outcomes, and cancer risk reported inter-individual differences. Thus, the aim of this study was to ascertain the role of these genetic variants in South Indian cancer patients treated with gemcitabine-based therapy. The study was done with 184 healthy volunteers for frequency establishment and 123 cancer patients were treated with gemcitabine-based chemotherapy for response and toxicity assessment. The participants were aged 18-65 years and resided in the southern states of India. DNA extraction was done from the leukocyte fraction of the blood by phenol-chloroform extraction procedures and genotyping was done by reverse transcription-polymerase chain reaction (RT-PCR) techniques to identify DNA repair gene polymorphisms. Tumor response was determined using Response evaluation criteria in solid tumors (RECIST) guidelines and toxicity using Common Terminology Criteria for Adverse Events (CTCAE), version 4.03. The patients were followed up for survival analysis. The minor allele frequency of the single nucleotide polymorphism (SNP) NRF2-617 C>A (rs6721961) in the healthy population was 12.8%. SNPs were in Hardy-Weinberg equilibrium (p>0.05). Gender-based differences were not observed with the studied SNP in the healthy population and the lung cancer patients. These frequencies of NRF2 were found to be similar when compared to EUR (European) and all the South Asian subpopulations. They are significantly divergent compared to AFR (African), AMR (American), and EAS (East Asian) populations. The minor allele frequency in cancer patients was found to be 14.2% and the lung cancer risk with the SNP studied could not be detected. There was no association found with the response, toxicity, and survival among lung cancer patients. NRF2, being a multifaced molecule, did not showa significant association with lung cancer risk, response, and toxicity in patients with gemcitabine-based chemotherapy.

Impact of TNFRSF1B (rs3397, rs1061624 and rs1061622) and IL6 (rs1800796, rs1800797 and rs1554606) Gene Polymorphisms on Inflammatory Response in Patients with End-Stage Kidney Disease Undergoing Dialysis.

We aimed to study the impact of polymorphisms in the genes encoding interleukin-6 (IL6) and tumor necrosis factor receptor-2 (TNFR2), reported to be mortality risk predictors, in patients with end-stage kidney disease (ESKD) undergoing dialysis. TNFRSF1B (rs3397, rs1061624, and rs1061622) and IL6 (rs1800796, rs1800797, and rs1554606) polymorphisms were studied in patients with ESKD and controls; the genotype and allele frequencies and the associations with inflammatory and erythropoiesis markers were determined; deaths were recorded throughout the following two years. The genotype and allele frequencies for the TNFRSF1B rs3397 polymorphism were different in these patients compared to those in the controls and the global and European populations, and patients with the C allele were less common. Patients with the CC genotype for TNFRSF1B rs3397 presented higher hemoglobin and erythrocyte counts and lower TNF-α levels, suggesting a more favorable inflammatory response that seems to be associated with erythropoiesis improvement. Patients with the GG genotype for TNFRSF1B rs1061622 showed lower serum ferritin levels. None of the TNFRSF1B (rs3397, rs1061624, and rs1061622) or IL6 (rs1800796, rs1800797, and rs1554606) polymorphisms had a significant impact on the all-cause mortality rate of Portuguese patients with ESKD.

An overview of autosomal STRs and identity SNPs in a Norwegian population using massively parallel sequencing

In recent years, probabilistic genotyping software has been adapted for the analysis of massively parallel sequencing (MPS) forensic data. Likelihood ratios (LR) are based on allele frequencies selected from populations of interest. This study provides an outline of sequence-based (SB) allele frequencies for autosomal short tandem repeats (aSTRs) and identity single nucleotide polymorphisms (iSNPs) in 371 individuals from Southern Norway. 27 aSTRs and 94 iSNPs were previously analysed with the ForenSeq™ DNA Signature Prep Kit (Verogen). The number of alleles with frequencies less than 0.05 for sequenced-based alleles was 4.6 times higher than for length-based alleles. Consistent with previous studies, it was observed that sequence-based data (both with and without flanks) exhibited higher allele diversity compared to length-based (LB) data; random match probabilities were lower for SB alleles confirming their advantage to discriminate between individuals. Two alleles in markers D22S1045 and Penta D were observed with SNPs in the 3´ flanking region, which have not been reported before. Also, a novel SNP with a minor allele frequency (MAF) of 0.001, was found in marker TH01. The impact of the sample size on minor allele frequency (MAF) values was studied in 88 iSNPs from Southern Norway (n = 371). The findings were then compared to a larger Norwegian population dataset (n = 15,769). The results showed that the smaller Southern Norway dataset provided similar results, and it was a representative sample. Population structure was analyzed for regions within Southern Norway; FST estimates for aSTR and iSNPs did not indicate any genetic structure. Finally, we investigated the genetic differences between Southern Norway and two other populations: Northern Norway and Denmark. Allele frequencies between these populations were compared, and we found no significant frequency differences (p-values > 0.0001). We also calculated the pairwise FST values per marker and comparisons between Southern and Northern Norway showed small differences. In contrast, the comparisons between Southern Norway and Denmark showed higher FST values for some markers, possibly driven by distinct alleles that were present in only one of the populations. In summary, we propose that allele frequencies from each population considered in this study could be used interchangeably to calculate genotype probabilities.

Estimating between-country migration in pneumococcal populations.

Streptococcus pneumoniae (the pneumococcus) is a globally distributed, human obligate opportunistic bacterial pathogen which, although often carried commensally, is also a significant cause of invasive disease. Apart from multi-drug resistant and virulent clones, the rate and direction of pneumococcal dissemination between different countries remains largely unknown. The ability for the pneumococcus to take a foothold in a country depends on existing population configuration, the extent of vaccine implementation, as well as human mobility since it is a human obligate bacterium. To shed light on its international movement, we used extensive genome data from the Global Pneumococcal Sequencing project and estimated migration parameters between multiple countries in Africa. Data on allele frequencies of polymorphisms at housekeeping-like loci for multiple different lineages circulating in the populations of South Africa, Malawi, Kenya, and The Gambia were used to calculate the fixation index (Fst) between countries. We then further used these summaries to fit migration coalescent models with the likelihood-free inference algorithms available in the ELFI software package. Synthetic datawere additionally used to validate the inference approach. Our results demonstrate country-pair specific migration patterns and heterogeneity in the extent of migration between different lineages. Our approach demonstrates that coalescent models can be effectively used for inferring migration rates for bacterial species and lineages provided sufficiently granular population genomics surveillance data. Further, it can demonstrate the connectivity of respiratory disease agents between countries to inform intervention policy in the longer term.

The Arg753Gln Polymorphisms in Toll-like Receptor 2 in a Syphilis-Infected and Control Population in The Netherlands: Can Differences in the Number of Self-Reported Sexual Contacts Indicate Protection against Syphilis?

The Arg753Gln polymorphism in Toll-like receptor 2 has been associated with an increased risk of bacterial infections as well as with protection from the late stages of Lyme disease and the acquisition of syphilis. In this study, we determined the presence of this polymorphism in samples collected from men having sex with men/men with women in the Amsterdam Cohort Studies. The presence of the polymorphism was determined by nested PCR, followed by Sanger sequencing. A set of 90 syphilis-seronegative individuals was compared to 95 syphilis-diagnosed participants. A polymorphism allele frequency of 3.9% was found in the control group and 2.63% in the syphilis case group, respectively. None of the individuals showed a homozygous Arg753Gln polymorphism. The number of self-reported sexual contacts was higher in the group of syphilis patients compared to the control group (p = 0.0063). Moreover, in the syphilis case group (n = 49), participants heterozygous for the TLR2-Arg753Gln reported higher numbers of sexual contacts (p = 0.037) compared to wild-type homozygotes. Our findings suggest a possible protective effect of TLR2-Arg753Gln in the acquisition of syphilis. In addition, the determination of the number of self-reported sexual contacts can be used in an evaluation of the protective effect of polymorphism in a population with a low prevalence of it.

Genetic insights into endurance athlete status: A meta-analysis of ACVR1B, AGT, FTO, IL-6, and NRF2 gene polymorphisms.

The aim of this meta-analysis was to analyze allele and genotype pattern frequencies of five different gene polymorphisms associated with endurance athlete status. Endurance sports require prolonged physical performance, and it is well known that physiological and genetic characteristics play a prominent role in this performance. In recent years, research on the impact of genetic factors on endurance athlete status has been on the rise, suggesting that various gene polymorphisms may be associated with physical performance. Specifically, the gene polymorphisms, activin receptor type-1B (A9CVR1B) rs2854464, angiotensinogen (AGT) rs699, fat mass and obesity-associated (FTO) rs9939609, interleukin-6 (IL-6) rs1800795, and nuclear factor erythroid 2 (NRF2) rs12594956, are thought to be related to endurance athlete status. Each of these genes plays a part in different biological processes, such as muscle development, energy metabolism, inflammation, and antioxidant defense mechanisms. For example, the NRF2 gene is a critical player in the regulation of cellular stress responses and may contribute to adaptive responses that enhance performance in endurance athletes. This meta-analysis included a total of 20 articles published between 2009 and 2023. The specific gene polymorphisms explored in this study, i.e., ACVR1B rs2854464, AGT rs699, FTO rs9939609, IL-6 rs1800795, and NRF2 rs12594956, were selected due to their reported associations with physical performance and endurance. A comprehensive search was conducted in the Web of Science and PubMed databases using specific keywords, preliminarily identifying 329 articles. Upon analysis of the abstracts, and full texts, 20 articles were deemed eligible for inclusion in this meta-analysis. Articles lacking control and endurance athlete groups or clear allele/genotype data were excluded. The findings indicated no significant differences in allele and genotype frequencies for ACVR1B, AGT, FTO, and IL-6 gene polymorphisms between endurance athletes and control groups. However, the NRF2 rs12594956 gene polymorphism showed a significantly higher frequency of the major allele (A) and the AA genotype in endurance athletes than in controls. In conclusion, the NRF2 rs12594956 polymorphism may be a genetic variant of interest in determining the status of endurance athletes. These findings highlight the potential clinical implications for genetic screening and personalized training programs in sport genetics. More extensive studies with larger cohorts are needed to further confirm these associations.

Genetic Association Between Polycystic Ovary Syndrome and the APOA5 rs662799 and PLIN1 rs894160 Metabolic Variants in the Western Saudi Population: A Case-Control Study.

Polycystic ovary syndrome (PCOS) is a common endocrinological condition affecting women of reproductive age, associated with insulin resistance and obesity. PCOS pathogenesis is complex and multifactorial, involving genetic and environmental factors. This study aimed to determine and compare genotype and allele frequencies of single nucleotide polymorphisms (SNPs) in the apolipoprotein A5 (APOA5; rs662799) and perilipin 1 (PLIN1; rs894160, rs1052700 and rs6496589) genes in Western Saudi women to investigate their association with PCOS and its clinical characteristics. This was a case-control study conducted on women with (n = 104) and without (n = 87) PCOS. The SNPs were genotyped using TaqMan genotyping assays. Significant and direct associations were detected between PCOS susceptibility and APOA5 SNP rs662799 and PLIN1 SNP rs894160 (P < .001). For APOA5 SNP rs662799, women with the A allele were more likely to have PCOS (relative risk [RR] = 1.348, odds ratio [OR] = 2.313, P < .001) and hypertriglyceridaemia (OR = 17.0, P = .5) than women with the G allele. For PLIN1 SNP rs894160, women with the T allele were more likely to have PCOS than women with the C allele (RR = 8.043, OR = 7.427, P < .001). For PLIN1 SNP rs1052700, women with the TT genotype were more likely to have hyperandrogenism (OR = 29.75, P = .02) and an irregular period (OR = 0.07, P = .040) than women with the AT genotype. We identified novel alleles and genotypes contributing to the genetic risk of PCOS in the Western Saudi population.

The association of CYP11A1 gene polymorphisms with the polycystic ovary syndrome patients.

The objective of this study was to investigate the allele frequencies of polymorphisms in genes CYP11A1 rs4886595 and CYP11A1 rs4887139 that are responsible for the steroidogenesis mechanism in polycystic ovary syndrome patients and control females. Samples were obtained from the Department of Obstetrics and Gynecology in the Near East University Hospital from September 2019 to December 2019. Only the nonobese patients between the ages of 18-40 years were included in this study following informed consent. Obese patients and patients more than 40 years of age were excluded from the study. Nonobese women and normal ovulation were included in the control group. DNA was isolated from blood samples. Real-time polymerase chain reaction (PCR) was used to analyze single nucleotide polymorphisms (SNPs) in various genes linked to polycystic ovary syndrome. The studies were carried out using the samples obtained from 120 women, of whom 55 were nonobese and had normal ovulation, and 65 were polycystic ovary syndrome patients. The allelic frequencies of SNPs in genes linked to polycystic ovary syndrome were calculated using real-time PCR outcomes. The variation of the CYP11A1 rs4887139 G>A did not show any significance, while the variation of CYP11A1 rs4886595 C>A showed significant differences between the patient and the control groups (p=0.01), respectively. Future research ought to focus on elucidating the susceptible causes of polycystic ovary syndrome with a wide range of SNPs and more sample size. The genome-wide association studies in polycystic ovary syndrome patients of different origin will be important to identify candidate genes as well as proteins that are implied in polycystic ovary syndrome risk.

Highlighting allelic variations at the interleukin-19 locus in term of preeclampsia predisposing factors and access to an accurate diagnostic/screening option

BackgroundPreeclampsia is the main cause of preterm parturition and maternal–fetal complications. T helper 1 and T helper 2 cytokines balance is a requirement in normal pregnancy and aberrant in this immunologic balance, play an important role in the pathology of preeclampsia. In previous studies single nucleotide polymorphisms have been associated with the alteration of serum cytokine levels.ObjectiveThis study was aimed to discover association between interleukin-13 (rs20541, and rs56035208) and interleukin-19 (rs1028181 (T/C) and rs2243191(T/C)) polymorphisms with susceptibility to preeclampsia.MethodsIn this case-control study 300 women with and without preeclampsia (n = 150/each) who referred to Zeynabieh Hospital- Shiraz, Iran, from February 2021 to April 2022 were enrolled. For genotyping the interleukin-13 and interleukin-19 polymorphisms, the Allele-specific polymerase chain reaction and direct sequencing method was carried out.ResultsOur statistical results revealed no significant differences in allele and genotype frequencies for interleukin-13 polymorphisms compared to controls. We found that the interleukin‐13 polymorphisms are significantly associated with vulnerability to edema at rs20541 position and maternal drinking at rs56035208 position. But it was interesting to note that the differences of both the allele and genotype frequencies of interleukin-19 polymorphisms and their contribution to the risk of preeclampsia susceptibility were significant.ConclusionsNo risk of preeclampsia was found in all comparisons for interleukin-13 polymorphisms. However, the interleukin-19 polymorphisms were found to confer the risk of preeclampsia in our population.

Serum Arylesterase, Paraoxonase, and Lactonase Activities and Paraoxonase-1 Concentrations in Morbidly Obese Patients and Their Relationship with Non-Alcoholic Steatohepatitis.

Paraoxonase-1 (PON1) is an antioxidant enzyme associated with high-density lipoproteins (HDL). Reduced serum PON1 activity is found in diseases marked by oxidative stress and inflammation, but its role in obesity remains unclear. This study investigated PON1 activities and concentrations in morbidly obese individuals and explored the impacts of the genetic polymorphism PON1 rs662 and non-alcoholic fatty liver disease on enzymatic properties. We recruited 1349 morbidly obese patients undergoing bariatric surgery and 823 non-obese volunteers. PON1-related variables, including arylesterase, paraoxonase, and lactonase activities and PON1 concentrations, were examined. Our results showed that morbidly obese individuals exhibited higher PON1 concentrations but lower enzymatic activities than non-obese individuals. We observed inverse associations of arylesterase and paraoxonase activities with waist circumference (rho = -0.24, p < 0.001, and rho = -0.30, p < 0.001, respectively) and body mass index (rho = -0.15, p = 0.001, and rho = -0.23, p < 0.001), as well as direct associations of arylesterase, paraoxonase, and lactonase activities with HDL cholesterol (rho = 0.11, p = 0.005, rho = 0.20, p < 0.001, and rho = 0.20, p < 0.001). No significant differences were observed regarding metabolic syndrome, type 2 diabetes mellitus, hypertension, dyslipidemia, rs662 polymorphism allele frequencies, or the diagnosis of non-alcoholic steatohepatitis. Nevertheless, correlations were found between certain PON1-related variables, steatosis, and ballooning. In conclusion, changes in PON1-related variables in morbidly obese patients are dependent on the disease itself and HDL levels. The relationships between these variables and specific liver histological changes raise intriguing questions for consideration in future studies.

Crucial Role of Foxp3 Gene Expression and Mutation in Systemic Lupus Erythematosus, Inferred from Computational and Experimental Approaches.

The impaired suppressive function of regulatory T cells is well-understood in systemic lupus erythematosus. This is likely due to changes in Foxp3 expression that are crucial for regulatory T-cell stability and function. There are a few reports on the correlation between the Foxp3 altered expression level and single-nucleotide polymorphisms within the Foxp3 locus. Moreover, some studies showed the importance of Foxp3 expression in the same diseases. Therefore, to explore the possible effects of single-nucleotide polymorphisms, here, we evaluated the association of IVS9+459/rs2280883 (T>C) and -2383/rs3761549 (C>T) Foxp3 polymorphisms with systemic lupus erythematosus. Moreover, through machine-learning and deep-learning methods, we assessed the connection of the expression level of the gene with the disease. Single-nucleotide polymorphisms of Foxp3 (IVS9+459/rs2280883 (T>C) and -2383/rs3761549 (C>T)) were, respectively, genotyped using allele-specific PCR and direct sequencing and polymerase chain reaction-restriction fragment length polymorphism, in 199 systemic lupus erythematosus patients and 206 healthy age- and sex-matched controls. The Statistical Package for the Social Sciences version 19 and Fisher's exact and chi-square tests were used to analyze the data. Moreover, six machine-learning models and two sequential deep-learning models were designed to classify patients from normal people in the E-MTAB-11191 dataset through the expression level of Foxp3 and its correlated genes. The allele and genotype frequencies of both polymorphisms in question were found to be significantly associated with an increased risk of systemic lupus erythematosus. Furthermore, both of the two single-nucleotide polymorphisms were associated with some systemic-lupus-erythematosus-related risk factors. Three SVM models and the logistic regression model showed an 81% accuracy in classification problems. In addition, the first deep-learning model showed an 83% and 89% accuracy for the training and validation data, respectively, while the second model had an 85% and 79% accuracy for the training and validation datasets. In this study, we are prompted to represent the predisposing loci for systemic lupus erythematosus pathogenesis and strived to provide evidence-based support to the application of machine learning for the identification of systemic lupus erythematosus. It is predicted that the recruiting of machine-learning algorithms with the simultaneous measurement of the applied single nucleotide polymorphisms will increased the diagnostic accuracy of systemic lupus erythematosus, which will be very helpful in providing sufficient predictive value about individual subjects with systemic lupus erythematosus.

Association of TCF7L2 Gene Polymorphism With Non Obesetype 2 Diabetes Mellitus in Javanese Population

Type 2 diabetes is characterized by insulin deficiency due to inadequate insulin secretion or decreased tissue response to insulin at one or more points. Three important factors that influence the pathogenesis of type 2 DM are individual factors or ethnic genetics, factors of pancreatic β cell damage and insulin resistance factors. The TCF7L2 gene is a gene that codes for TCF7L2 protein, a group of proteins that act as transcription factors in the Wnt signal pathway. TCF7L2 gene polymorphism occurs when cytosine is replaced with thymine in the intron 3 position in wild-type due to alternative splicing.The purpose study was to determine the frequency of TCF7L2 gene polymorphism in Javanese type 2 non-obese DM patients in Semarang. Detection of TCF7L2 gene polymorphism was carried out on 49 people with type 2 non-obese DM patients and 38 people not with type 2 DM using the PCR-RFLP method. The restriction enzyme used is Rsa1. The allele frequency of TCF7L2 gene polymorphism was analyzed by Chi-square and analysis of sample characteristics was carried out with Odds Ratio. The results showed that there were significant differences in the allele frequency of TCF7L2 gene polymorphism and in the characteristics of age, KGD and systole between case subjects and control subjects. From this study it was concluded that TCF7L2 gene polymorphism is associated with the type 2 DM through interactions between genetic factors (T allele) and life style.

Association between interleukin-12B gene polymorphisms and multiple sclerosis in turkish population

Elevated levels of IL-12p40 have been observed in the cerebrospinal fluid and serum of MS patients, and it has been suggested that genetic variants in the IL-12B gene may contribute to MS susceptibility and/or pathogenesis. In this study, we investigated the association between MS and IL-12B gene rs17860508 and rs3212227 polymorphisms in the Turkish population. We identified two polymorphic regions in the IL-12B gene using bioinformatics tools and genotyped 351 MS patients and 221 healthy controls for these variants. Our results showed a significant association between the IL-12B rs17860508 polymorphism and MS, but no significant relationship between rs17860508 genotype distribution and allele frequency and MS age onset or subtypes. Genotype distribution and allele frequency of IL-12B rs3212227 polymorphism did not show any significant association with MS directly. However, AC genotype of IL-12B rs3212227 polymorphism in early-onset multiple sclerosis (EOMS) was a risk factor according to age of onset. Additionally, we observed a higher risk for the relapsing-remitting multiple sclerosis (RRMS) subtype in females. This is the first study to investigate the association between IL-12B polymorphisms and MS in the Turkish population.

Hyperinflammatory Immune Response in COVID-19: Host Genetic Factors in Pyrin Inflammasome and Immunity to Virus in a Spanish Population from Majorca Island.

The hyperinflammatory response caused by SARS-CoV-2 infection contributes to its severity, and many critically ill patients show features of cytokine storm (CS) syndrome. We investigated, by next-generation sequencing, 24 causative genes of primary immunodeficiencies whose defect predisposes to CS. We studied two cohorts with extreme phenotypes of SARS-CoV-2 infection: critical/severe hyperinflammatory patients (H-P) and asymptomatic patients (AM-risk-P) with a high risk (older age) to severe COVID-19. To explore inborn errors of the immunity, we investigated the presence of pathogenic or rare variants, and to identify COVID-19 severity-associated markers, we compared the allele frequencies of common genetic polymorphisms between our two cohorts. We found: 1 H-P carries the likely pathogenic variant c.887-2 A>C in the IRF7 gene and 5 H-P carries variants in the MEFV gene, whose role in the pathogenicity of the familial Mediterranean fever (FMF) disease is controversial. The common polymorphism analysis showed three potential risk biomarkers for developing the hyperinflammatory response: the homozygous haplotype rs1231123A/A-rs1231122A/A in MEFV gene, the IFNAR2 p.Phe8Ser variant, and the CARMIL2 p.Val181Met variant. The combined analysis showed an increased risk of developing severe COVID-19 in patients that had at least one of our genetic risk markers (odds ratio (OR) = 6.2 (95% CI) (2.430-16.20)).