Clinical implications of PON1 (rs662) and TNF-α (rs1799964) genes polymorphism in patients with coronary artery disease

Background

Coronary artery disease (CAD) is the most common kind of heart problem, currently became one of the leading causes of death worldwide and is predicted to persist so for the next 20 years. The global risk factors to CAD include atherosclerosis, genetic predisposition, environment and the lifestyle. This study is aimed to find out the genotypic association of PON1 (rs662) and TNF-α (rs1799964) genes with CAD among North Indian populations. A total of 330 subjects including 175 CAD cases and 155 healthy controls were enrolled in this study. Single nucleotide polymorphisms were analyzed by polymerase chain reaction and restriction fragment length polymorphism (PCR–RFLP) method. χ2 and Student's t-tests were applied for the comparison of alleles and genotype frequencies in cases and controls. Logistic regression analysis was applied to calculate the 95% confidence intervals and odds ratios (OR) for assessing the association of genotype with disease.

Results

The PON1 gene QQ, QR, RR genotypes frequencies were 36.57%, 50.29%, 13.14% in CAD cases and 60%, 38.71%, 1.29% in controls, respectively. OR for the genotype QQ, QR, RR was 0.38, 1.6, 11.57 (P < 0.001, P = 0.035, P < 0.001). The TNF-α gene CC, CT, TT genotypes frequencies in cases were 4.57%, 50.29%, 45.14% and controls 3.23%, 46.45%, 50.32%, respectively. OR for CC, CT, TT genotype was 1.437, 1.166, 0.812 (P = 0.531, P = 0.487, P = 0.347). We found significant difference in the genotype and allele frequencies of PON1 gene between cases and control, while no significant difference was observed in TNF-α gene between cases and control.

Conclusions

The PON1 (rs662) gene polymorphisms were significantly associated with an elevated risk of CAD, while no significant association was observed with TNF-α (rs1799964) gene polymorphism and the risk of CAD.

Genetic Variants in Interleukin-10 Gene Association with Susceptibility and Cervical Cancer Development: A Case Control Study

Objectives  Cervical cancer (CC) is one of the most destructive disease caused by persistent HPV infection which affects women worldwide, especially in developing countries. The genetic basis of host immune response especially cytokine function has been shown to influence CC susceptibility. Studies have demonstrated that IL-10 gene polymorphism have been associated with numerous malignancies, but in context to CC results were inconclusive. Though, aim of our study to investigate the association between IL-10 -1082A/G and -819C/T promoter polymorphism and CC susceptibility.

Material and Methods  This study comprised 192 women with CC and 200 controls. HPV detection was done by RT-PCR and genotyping was assessed through PCR-RFLP method. Serum concentration of IL-10 measured by ELISA.

Results  Women with AG and AG+GG genotypes of IL-10 -1082A/G had two-fold increased risk of CC [OR, 2.35 (95% CI, 1.54–3.58), p  = 0.005], [OR, 2.03 (95% CI, 1.36–3.04), p  = 0.0005] compared to controls. Women with G allele of -1082A/G polymorphism had linked with CC susceptibility [OR, 1.39 (95% CI, 1.02–1.88), p  = 0.036] compared to controls. No significant difference was found between patients and controls in the genotype or allele frequencies of IL–10 -819C/T polymorphism [OR, 1.00 (95% CI, 0.63–1.58), p  = 0.99]. The level of serum concentration of IL-10 was significantly higher in cases compared to controls.

Conclusion  These findings help to understand that polymorphism of IL-10 -1082A/G gene is associated with increased risk of CC development and can serve as a marker of genetic susceptibility to CC.

Association of GSTM1 and GSTT1 gene polymorphisms with COVID-19 susceptibility and its outcome

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.

Association of DNA Repair Genes XRCC1 and APE-1 with the Risk of Cervical Cancer in North Indian population

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.
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Association of endothelial nitric oxide synthase (eNOS) and norepinephrine transporter (NET) genes polymorphism with type 2 diabetes mellitus

Genetic factors in combination with environmental factors play a critical role in the development type 2 diabetes mellitus (T2DM) which is growing as an epidemic globally. In present study we aim to assess the association of eNOS (G894T, rs1799983) and NET (G1287A, rs5569) genes polymorphism with T2DM. A case-control study including a total of 400 North Indian subjects (200 T2DM cases and 200 controls) was performed using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) approach to analyze genetic polymorphism. Alleles/genotype frequencies between cases and controls were compared using χ² 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 case of NET gene, GG (P = 0.002 in T2DM males, 0.053 in overall T2DM cases) genotype and G allele (P = 0.003 in T2DM males, 0.027 in overall T2DM cases) were found to be a positive risk factors and AG genotype (P = 0.012 in T2DM males) and A allele (P = 0.003 in T2DM males, P = 0.027 in overall T2DM cases) as negative risk factor for T2DM. No association of eNOS gene polymorphism was found with T2DM (P values of all genotypes and alleles were greater than 0.05). NET gene polymorphism might be associated with the risk of T2DM whereas; eNOS gene polymorphism do not confer any risk of T2DM in North Indian Ethnic group. It is hoped that understanding genetic causes of T2DM will lead to earlier diagnosis, preventive measures and more effective and specific treatment.

The relationship between Multidrug Resistance Protein 1(rs1045642) and Cholesterol 24-hydroxylase (rs754203) genes polymorphism with type 2 diabetes mellitus

BACKGROUND

The involvement of genetic factors like gene polymorphisms has been found to contribute significantly to the development and progression of type 2 diabetes (T2DM). Thousands of single nucleotide polymorphisms in various genes have been found to be associated with risk of T2DM. The present study was aimed to investigate association of Multidrug resistance 1 (MDR1) (rs1045642) and CYP46A1 (rs754203) genes polymorphism with T2DM.

SUBJECTS & METHODS

Study includes 333 subjects, 183 T2DM cases and 150 healthy controls. Single nucleotide polymorphism was evaluated by PCR-PFLP. Alleles and genotype frequencies between cases and controls were compared using χ2 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.

RESULTS

In case of CYP46A1 gene, CC (p < 0.001) and CT (p = 0.001) genotypes and C allele (p < 0.001) were found to be a positive risk factor and TT genotype (p < 0.001) and T allele (p < 0.001) as negative risk factor for T2DM whereas, no association of MDR1 gene was found with T2DM (P values of all genotypes and alleles were greater than 0.001). MDR1 (rs1045642) and CYP46A1 (rs754203) genes polymorphism was not found associated with Fasting Blood Sugar (FBS), Diastolic Blood Pressure (DBP) and Systolic Blood Pressure (SBP).

CONCLUSION

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.

Polymorphism of GST and FTO Genes in Risk Prediction of Cataract among a North Indian Population

BACKGROUND

The present study was carried out to investigate the association of GST and FTO gene polymorphisms with cataract cases and controls.

MATERIALS AND METHODS

The study included 131 cases and 126 controls. GST and FTO gene polymorphisms were evaluated by PCR-RFLP.

RESULTS

The frequency of the GSTM1-positive and GSTT1-positive in cataract cases were 62.13% and 86.40% while in the controls it was 46.39% and 95.87% with odds ratios of 1.9 (95% CI, 1.08-3.32; p value 0.025) and 0.27 (95% CI, 0.09-0.86; p value, 0.019) respectively. There was a statistically significant association between the GSTM1 null genotype and the risk of cataract development with an odds ratio of 0.43 (95% CI, 0.24-0.76; p value, 0.003). Significant differences were obtained in the frequencies of FTO AA and TT genotype (p = 0.023 and 0.023) between cases and controls.

CONCLUSION

The present study suggested that GSTM1, GSTT1 and FTO gene polymorphisms are associated with increased risk for cataract in North Indian populations. Due to the limited sample size, the finding on GST and FTO gene polymorphisms need further investigation.

Polymorphism of FABP2 and PPARG2 genes in risk prediction of cataract among North Indian population

BACKGROUND

Cataract is the leading cause of bilateral blindness in India. It has been reported that cataract is responsible for 50-80% of the bilaterally blind in the country. Cataract formation is a natural part of the ageing process. At present, adequate data are not available regarding the FABP2 and PPARG2 gene polymorphisms and their susceptibility with cataract cases in the North Indian population. Thus, the present study was carried out to investigate the association of FABP2 and PPARG2 gene polymorphisms with cataract cases and controls.

MATERIALS AND METHODS

This study includes 130 cataract cases and 118 controls. FABP2 and PPARG2 gene polymorphisms in cases and controls were evaluated by PCR-RFLP.

RESULTS

Frequencies of Ala54Ala, Ala54Thr and Thr54Thr genotypes in FABP2 gene in cataract cases and controls were 50.76%, 39.23%, 10% and 25.42%, 61.86%, 12.71% respectively. The PPARG2 gene CC, CG, GG genotype frequencies were 11.53%, 87.69% and 0.76% in cases and 21.18%, 39.83% and 38.98% in healthy controls respectively. Significant differences were observed in the frequencies of FABP2 Ala54Ala, Ala54Thr genotype (p < 0.05) and PPARG2 CC, CG, GG genotype (p < 0.05) between cases and controls.

CONCLUSION

The findings of this study suggest that FABP2 and PPARG2 gene polymorphisms can be an informative marker for early identification of population at risk of cataract. The potential role of FABP2 and PPARG2 gene polymorphisms as a marker of susceptibility to cataract needs further studies in a larger number of patients.