Coronavirus disease 2019 (COVID‐19) caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection has become a global health issue and develops into a broad range of illnesses from asymptomatic to fatal respiratory diseases. SARS‐CoV‐2 infection is associated with oxidative stress that triggers cytokine production, inflammation, and other pathophysiological processes. Glutathione‐S‐transferase (GST) is an important enzyme that catalyzes the conjugation of glutathione (GSH) with electrophiles to protect the cell from oxidative damage and participates in the antioxidant defense mechanism in the lungs. Thus, in this study, we investigated the role of GSTM1 and GSTT1 gene polymorphism with COVID‐19 susceptibility, as well as its outcome. The study included 269 RT‐PCR confirmed COVID‐19 patients with mild ( n = 149) and severe ( n = 120) conditions. All subjects were genotyped for GSTM1 and GSTT1 by multiplex polymerase chain reaction (mPCR) followed by statistical analysis. The frequency of GSTM1 −/− , GSTT1 −/− and GSTM1 −/− /GSTT1 −/− was higher in severe COVID‐19 patients as compared to mild patients but we did not observe a significant association. In the Cox hazard model, death was significantly 2.28‐fold higher in patients with the GSTT1 −/− genotype ( p = 0.047). In combination, patients having GSTM1 +/+ and GSTT1 −/− genotypes showed a poor survival rate ( p = 0.02). Our results suggested that COVID‐19 patients with the GSTT1 −/− genotype showed higher mortality.
It is concluded that ACE (rs 4646994), FABP2 (rs1799883) and GST (GSTM1 null or positive genotype and GSTT1 null or positive genotype) genes polymorphism are associated with HTN. Further investigation with a larger sample size may be required to validate this study.
Backgrounds: Cervical cancer (CC) is one of the leading cause of death in women worldwide, HPV infection is the major risk factor in the disease development, 0and however other risk factor such as chemical carcinogens, genetic susceptibility and altered immune system are also a cause of the disease progression. In the light of the above statement we studied the base excision repair pathway (BER). Methods: We identified and studied the association of Single Nucleotide polymorphisms in the DNA repair genes of XRCC1 ( Arg194Trp, Arg399G ,) and APE-1Asp/148Glu to the susceptibility of cervical cancer (CC) in North Indian population. In our study of cases (n=102). Controls (n=109) were recruited from among women without cervical abnormalities. Genotypes were determined by PCR-CTPP method, Taking DNA from peripheral blood in a case control study. Results: A positive association was observed between the polymorphisms of XRCC1 genes, that is, in codons 194 (P=0.03, odds ratio (OR) =2.39, 95% confidence interval (CI)=5.2–1.1), 280 (P=0.01, OR=4.1, 95% CI=11.5–1.3) and 399 (P=0.01, OR=3.4, 95% CI=8.6–1.3) while APE-1 genotype GG (p=0.03,odds ratio(OR)=0.2,95% confidence interval (CI)=0.97-0.004) we observed a statistically significant protective role in developing cervical cancer. Conclusion: Our results suggested that, XRCC1 gene is an important candidate gene for susceptibility to cervical cancer. Although the sample size was small, the present study indicate a statistical association between cervical cancer and XRCC1 SNPs . Future studies are needed that may provide a better understanding of the association between gene polymorphism and cervical carcinoma risk.
Coronary artery disease (CAD) is the leading cause of death worldwide and it is basically caused by atherosclerosis. The atherosclerotic process includes complex events and each one involves a specific biological pathway and different genes. According to World Health Organization report, Cardiovascular diseases will be the largest cause of death and disability by 2020, with an estimated 2.6 million Indians predicted to die due to CAD predominantly with myocardial infarction. Genetic factors are estimated to contribute 30-60% of the CAD risk. The aim of this study is to investigate the association of COL4A1 and CD14 genes polymorphism with CAD. This study included 345 subjects, 185 CAD cases and 160 healthy controls. Single-nucleotide polymorphisms were evaluated by polymerase chain reaction and restriction fragment length polymorphism. Alleles and genotype frequencies between cases and controls were compared using χ and Student's t tests. Odds ratios and 95% confidence intervals were calculated by logistic regression to assess the relative association between disease and genotypes. In this study, CD14 (rs2569190), CC (P = 0.008) genotypes, and C allele (P = 0.007) were found to be a positive risk factor, while TT genotype (P = 0.045) and T allele (P = 0.007) as negative risk factor for CAD. Significant differences were not observed in COL4A1 (rs605143 and rs565470) gene polymorphism with CAD. It seems that CD14 gene polymorphism might be associated with the risk of CAD, whereas COL4A1 gene polymorphism was not found to confer any risk of CAD.
CYP46A1 gene polymorphism is associated with the risk of T2DM whereas, MDR1 gene polymorphism was not found to confer any risk of T2DM in North Indian Ethnic group.
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