Associations of TCF7L2 gene polymorphisms with the risk of diabetic nephropathy: A case-control study

Association of the Transcription Factor 7-Like 2 (TCF7L2) rs7903146 Polymorphism with the Risk of Diabetic Nephropathy: A Meta-Analysis

Transcription factor 7-like 2 (TCF7L2) polymorphism plays an essential role in the occurrence and development of patients living with diabetes, but the current conclusions are inconsistent on the relationship between TCF7L2 polymorphism and the risk of diabetic nephropathy. This meta-analysis aims to explore the exact association between TCF7L2 rs7903146 locus polymorphism and susceptibility to diabetic nephropathy. PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI), and China Wanfang databases were searched for studies on the relationship between single nucleotide polymorphism at TCF7L2 rs7903146 locus and susceptibility to diabetic nephropathy until January 10, 2022. The data were analyzed by Stata 15.0 software. A total of 7 articles were included, covering 1443 patients with diabetic nephropathy and 2129 diabetic non-nephropathy patients. The results showed that allele C at TCF7L2 rs7903146 locus, compared to allele T, the pooled odds ratio (OR)=0.69 (95% CI: 0.56-0.85, p≤0.05). In the dominant gene inheritance model, recessive gene inheritance model, homozygous genetic model, and heterozygous genetic model, the pooled OR was 0.47 (95% CI: 0.36-0.61), 0.63 (95% CI: 0.54-0.73), 0.39 (95% CI: 0.29-0.51), and 0.59 (95% CI: 0.45-0.78), respectively, and the differences were statistically significant. In conclusion, TCF7L2 rs7903146 polymorphism is associated with susceptibility to diabetic nephropathy. Allele T and genotype TT can increase the risk of diabetic nephropathy.

Role of Transcription Factor 7 like 2 and Silent Information Regulator 1 Genes in the Development of Cardiovascular Complications in a Group of Egyptian Patients with Chronic Kidney Disease

BACKGROUND: Sirtuins silent information regulator 1 (SIRT) is histone deacetylases that act as antioxidants and involved in the pathogenesis of cardiovascular diseases (CVD) which are the major complications of chronic kidney disease (CKD). Transcription factor 7-like 2 (TCF7L2) genetic polymorphisms could contribute to the risk of CVD as TCF7L2 proteins regulate vascular remodeling. AIM: We tried to demonstrate the role of genetic polymorphisms: rs7069102 and rs10823108 in SIRT1 gene and rs7903146 in TCF7L2 gene in the development of CVD in CKD Egyptian patients. METHODS: This study included 120 CKD patients (60 with CVD and 60 without CVD) and 60 age and sex-matched healthy subjects as a control group. Routine laboratory investigations were performed and genotyping for candidate single nucleotide polymorphisms was done by Taqman-real-time polymerase chain reaction. RESULTS: The frequency of the C allele of rs7069102 was significantly higher in CKD patients with CVD as compared to the normal control group (p < 0.001) and as compared to CKD patients without CVD (p < 0.001). Percentages of AG and GG genotypes of rs10823108 were significantly higher in CKD patients with CVD as compared to the normal control group (p = 0.002, 0.035, respectively). The frequency of the T allele of rs7903146 was significantly higher in CKD patients with CVD as compared to the normal control group (p < 0.001). CONCLUSION: We found that C allele of rs7069102, GG and AG genotypes of rs10823108 in the SIRT1 gene and T allele of rs7903146 in TCF7L2 gene have a potential role in the pathogenesis and the risk of CVD development in CKD Egyptian patients.

A review on interplay between obesity, lipoprotein profile and nutrigenetics with selected candidate marker genes of type 2 diabetes mellitus

BACKGROUND

Type 2 diabetes mellitus, a rapidly growing epidemic, and its frequently related complications demand global attention. The two factors commonly attributed to the epidemic are genetic factors and environmental factors. Studies indicate that the genetic makeup at an individual level and the environmental aspects influence the occurrence of the disease. However, there is insufficiency in understanding the mechanisms through which the gene mutations and environmental components individually lead to T2DM. Also, discrepancies have often been noted in the association of gene variants and type 2 diabetes when the gene factor is examined as a sole attribute to the disease.

STUDY

In this review initially, we have focused on the proposed ways through which CAPN10, FABP2, GLUT2, TCF7L2, and ENPP1 variants lead to T2DM along with the inconsistencies observed in the gene-disease association. The article also emphasizes on obesity, lipoprotein profile, and nutrition as environmental factors and how they lead to T2DM. Finally, the main objective is explored, the environment-gene-disease association i.e. the influence of each environmental factor on the aforementioned specific gene-T2DM relationship to understand if the disease-causing capability of the gene variants is exacerbated by environmental influences.

CONCLUSION

We found that environmental factors may influence the gene-disease relationship. Reciprocally, the genetic factors may alter the environment-disease relationship. To precisely conclude that the two factors act synergistically to lead to T2DM, more attention has to be paid to the combined influence of the genetic variants and environmental factors on T2DM occurrence instead of studying the influence of the factors separately.

RANTES 59029A/G Polymorphisms Associated with Diabetic Compilations in Korean Patients with Type 2 Diabetes for over 15 Years

Background: Polymorphisms in the RANTES gene are known to be associated with several diseases related to insulin resistance. In this study, we investigated the association between RANTES 59029A/G polymorphisms and the prevalence of diabetic complications relative to obesity in Korean patients who had type 2 diabetes (T2D) for over 15 years. Methods: A single-center, retrospective case-control study was performed. We included 271 patients with a duration of diabetes greater than 15 years. Polymerase chain reaction-restriction fragment length polymorphism was used to analyze RANTES polymorphisms, identifying genotypes as GG, AG, or AA. Obesity was defined using the body mass index with a cutoff value of 25 kg/m². Both microvascular (retinopathy and nephropathy) and macrovascular (coronary artery disease and cerebrovascular disease) complications were evaluated. Results: The duration of T2D and hemoglobin A1c values at enrollment were 24.4 ± 5.0 years and 7.8 ± 1.6%, respectively, in the non-obese group, and 25.4 ± 6.1 years and 7.7 ± 1.7%, respectively, in the obese group. The prevalence of microvascular complications was significantly higher in the obese group compared with that in the non-obese group (83.5% vs. 72.0%, p = 0.039). Compared to the non-obese group, the obese group showed a higher proportion of the patients with AA or AG genotypes (64.3% vs. 84.5%, p = 0.001). Conclusions: The A allele of the RANTES gene is associated with obesity and may affect diabetic microvascular complications in patients with T2D for over 15 years.

Association of Combined TCF7L2 and KCNQ1 Gene Polymorphisms with Diabetic Micro- and Macrovascular Complications in Type 2 Diabetes Mellitus

BACKGROUND

Vascular complications are the major morbid consequences of type 2 diabetes mellitus (T2DM). The transcription factor 7-like 2 (TCF7L2), potassium voltage-gated channel subfamily Q member 1 (KCNQ1), and inwardly-rectifying potassium channel, subfamily J, member 11 gene (KCNJ11) are common T2DM susceptibility genes in various populations. However, the associations between polymorphisms in these genes and diabetic complications are controversial. This study aimed to investigate the effects of combined gene-polymorphisms within TCF7L2, KCNQ1, and KCNJ11 on vascular complications in Thai subjects with T2DM.

METHODS

We conducted a case-control study comprising 960 T2DM patients and 740 non-diabetes controls. Single nucleotide polymorphisms in TCF7L2, KCNQ1, and KCNJ11 were genotyped and evaluated for their association with diabetic vascular complications.

RESULTS

The gene variants TCF7L2 rs290487-T, KCNQ1 rs2237892-C, and KCNQ1 rs2237897-C were associated with increased risk of T2DM. TCF7L2 rs7903146-C, TCF7L2 rs290487-C, KCNQ1 rs2237892-T, and KCNQ1 rs2237897-T revealed an association with hypertension. The specific combination of risk-alleles that have effects on T2DM and hypertension, TCF7L2 rs7903146-C, KCNQ1 rs2237892-C, and KCNQ1 rs2237897-T, as genetic risk score (GRS), pronounced significant association with coronary artery disease (CAD), cumulative nephropathy and CAD, and cumulative microvascular and macrovascular complications (respective odds ratios [ORs] with 95% confidence interval [95% CI], comparing between GRS 2-3 and GRS 5-6, were 7.31 [2.03 to 26.35], 3.92 [1.75 to 8.76], and 2.33 [1.13 to 4.79]).

CONCLUSION

This study demonstrated, for the first time, the effect conferred by specific combined genetic variants in TCF7L2 and KCNQ1 on diabetic vascular complications, predominantly with nephropathy and CAD. Such a specific pattern of gene variant combination may implicate in the progression of T2DM and life-threatening vascular complications.

Transcription factor 7-like 2 gene- smoking interaction on the risk of diabetic nephropathy in Chinese Han population

Objectives

To evaluate the relationship between transcription factor 7-like 2 (TCF7L2) gene polymorphism and diabetic nephropathy (DN) risk, as well as the effect of gene-environment interactions on DN risk in Chinese Han population.

Methods

The Hardy-Weinberg equilibrium (HWE) and the relationship between TCF7L2 gene single nucleotide polymorphism (SNPs) and DN susceptibility were evaluated by SNPStats. The interaction among four SNPs and environmental factors were tested by generalized multifactor dimensionality reduction (GMDR). The consistency of cross validation, accuracy of test balance and sign test were calculated to evaluate the interaction of each selection. The logistic regression was used to test the interaction between rs7903146 and current smoking by stratified analysis.

Results

Logistic regression analysis indicated that the DN risk of rs7903146-T allele carriers were obviously higher than that in CC genotype carriers (CT + TT versus CC), adjusted OR (95 %CI) = 1.64 (1.24–2.06). However, we also discovered that people with rs12255372, rs11196205 and rs290487 minor allele had non-significant difference risk of DN compared with people with major allele. The GMDR model found a significant two-locus model (p = 0.0100) including rs7903146 and current smoking, suggesting a potential gene–environment interaction between rs7903146 and current smoking. Compared with never smokers with rs7903146- CC genotype, current smokers with rs7903146- CT or TT genotype had the highest DN risk. After covariate adjustment, OR (95 %CI) was 2.15 (1.58–2.78).

Conclusions

We found a significant relationship of rs7903146-T alleles, and the interaction between rs7903146-T and current smoking with increased DN risk.

In Silico Analysis of Possible Interaction between Host Genomic Transcription Factors (TFs) and Zika Virus (ZikaSPH2015) Strain with Combinatorial Gene Regulation; Virus Versus Host-The Game Reloaded

In silico analysis is a promising approach for understanding biological events in complex diseases. Herein we report on the innovative computational workflow allowed to highlight new direct interactions between human transcription factors (TFs) and an entire genome of virus ZikaSPH2015 strain in order to identify the occurrence of specific motifs on a genomic Zika Virus sequence that is able to bind and, therefore, sequester host’s TFs. The analysis pipeline was performed using different bioinformatics tools available online (free of charge). According to obtained results of this in silico analysis, it is possible to hypothesize that these TFs binding motifs might be able to explain the complex and heterogeneous phenotype presentation in Zika-virus-affected fetuses/newborns, as well as the less severe condition in adults. Moreover, the proposed in silico protocol identified thirty-three different TFs identical to the distribution of TFBSs (Transcription Factor Binding Sites) on ZikaSPH2015 strain, potentially able to influence genes and pathways with biological functions confirming that this approach could find potential answers on disease pathogenesis.

Association of transcription factor 7-like 2 (rs7903146) gene polymorphism with diabetic retinopathy

BACKGROUND

Diabetic retinopathy (DR) is one of the most common diabetic complications. Genetic factors play an important role in the development and progression of DR. So, the present study aimed to investigate the association of TCF7L2 (rs7903146) gene polymorphism with the risk of DR in type1 and type2 DM (T1DM and T2DM) in the Egyptian population.

MATERIALS AND METHODS

This work is a case-control study in which 550 diabetic patients were enrolled. Among them, 280 diabetics with DR (120 T1DM and 160 with T2DM) and 270 diabetic patients without DR (120 T1DM and 150 with T2DM). Besides, 120 healthy subjects as a control group. Genotyping of TCF7L2 (rs7903146) (C/T) was done following DNA extraction using polymerase chain reaction-restriction fragment length polymorphism.

RESULTS

C allele and CC genotype of TCF7L2 (rs7903146) were significantly associated with increased risk for DR within T2DM in multiplicative and recessive models. While dominant model showed no significant association with DR. Although TC may be associated with a decreased risk for DR in T1DM and T2DM in over dominant model, there was no significant association of TCF7L2 (rs7903146) with the risk of DR susceptibility within T1DM in multiplicative, dominant, and recessive models.

CONCLUSION

The present study revealed the association of TCF7L2 (rs7903146) polymorphism with DR susceptibility within diabetic patients. Therefore, TCF7L2 (rs7903146) gene polymorphism may have a prognostic value for diabetic retinopathy in the Egyptian population. Further work is required to confirm the association of this polymorphism as a risk for DR.

The Association of Transcription Factor 7 like 2 Gene Polymorphism with Diabetic Nephropathy in Patients with Type 2 Diabetes Mellitus

BACKGROUND

The exact relationship between the different TCF7L2 gene polymorphisms and the development of diabetic nephropathy (DN) remains unclear.

OBJECTIVE

To investigate the association of TCF7L2 rs12255372 (G/T) gene polymorphism and diabetic nephropathy (DN) in patients with type 2 diabetes (T2D).

METHODS

100 patients with T2D (50 patients without DN and 50 patients with DN) and 50 age and sex-matched healthy controls (HC) were enrolled in the study. Genotyping for the rs12255372 (G>T) polymorphism in the TCF7L2 gene was performed by real-time PCR.

RESULTS

The rs12255372 polymorphism showed a statistically significant difference between HC and patients with and without DN in both the genotype and allele frequency. However, the rs12255372 polymorphism genotype or allele frequency was not statistically different between patients with DN and those patients without DN. The G allele was found to be higher in patients and the T allele was higher in HC suggesting that the G allele was the risk allele for developing T2D & DN and that the T allele was protective.

CONCLUSION

rs12255372 TCF7L2 gene polymorphism was strongly associated with type 2 diabetes mellitus and DN. The association between rs12255372 polymorphism and DN was a mere reflection of a complicated diabetes mellitus rather than a direct independent association.