Genetic contribution of polymorphism of the GLUT1 and GLUT4 genes to the susceptibility to type 2 (non-insulin-dependent) diabetes mellitus in different populations

The Impact of Genetic Polymorphisms on the Anti-Hyperglycemic Effect of Dapagliflozin

Background

The influence of genetic variants on the glucose-lowering effects of dapagliflozin remains unclear. This study aims to investigate the impact of polymorphisms in solute carrier family 5 member 2 (SLC5A2), uridine diphosphate glucuronosyltransferase 1A9 (UGT1A9), solute carrier family 2 member 2 (SLC2A2) and member 4 (SLC2A4) on the anti-hyperglycemic effect of dapagliflozin in patients with type-2 diabetes mellitus (T2DM).

Methods

A total of 141 patients with T2DM were included in this prospective cohort study. Twenty-nine single nucleotide polymorphisms (SNPs) were selected and genotyped using the Sequenom MassArray platform or Sanger sequencing. Glycated hemoglobin (HbA1c) and fasting blood glucose (FBG) levels were compared before and after the treatment with dapagliflozin.

Results

Among the 29 SNPs selected, 27 were successfully analyzed. After three months of dapagliflozin treatment, FBG levels were significantly reduced (8.00 mmol/L (5.45-10.71) mmol/L vs 6.40 mmol/L (5.45-9.20) mmol/L, p = 0.003) in patients with T2DM. However, there was no significant change in HbA1c levels (8.10% (6.88-10.00)% vs 8.10% (6.83-10.00)%, p = 0.452). Analysis of covariance showed that patients with the minor allele homozygote or heterozygote of rs12471030 (CT/TT), rs12988520 (AC/CC) or rs2602381 (TC/CC) had higher FBG levels compared to those with the major allele homozygote (p = 0.014, p = 0.024, and p = 0.044, respectively). After adjusting for baseline FBG level, age, gender, body mass index, use of insulin and use of metformin, three SNPs-rs12471030, rs12988520 and rs2602381-were associated with the anti-hyperglycemic effect of dapagliflozin. However, using a stringent significance threshold (p < 0.002 with Bonferroni correction), none of these selected SNPs were significantly associated with FBG and HbA1c levels after dapagliflozin treatment.

Conclusion

After adjusting for confounding variables, polymorphisms in SLC5A2, UGT1A9, SLC2A2 and SLC2A4 genes were not associated with the anti-hyperglycemic effect of dapagliflozin in the Chinese population.

Clinical Trial Registration Number

ChiCTR2200059645.

GLUT4 gene rs5418 polymorphism is associated with increased coronary heart disease risk in a Uygur Chinese population

Background

To explore possible associations between glucose transporter 4 (GLUT4) genetic polymorphisms in the patients with coronary heart disease (CHD) in Han and Uygur Chinese populations in Xinjiang, China.

Methods

Two GLUT4 polymorphisms (rs5418 and rs5435) were genotyped in 1262 Han (628 CHD patients and 634 healthy controls) and 896 Uyghur (397 CHD patients and 499 healthy controls) Chinese populations.

Results

In the Han Chinese population, there were no significant differences in allelic or genotypic distribution of rs5418 and rs5435 between the CHD and control groups (all P > 0.05). However, in the Uygur population, there were significant differences in genotype and allele distributions for rs5418 between CHD and the control group (all P < 0.05). Binary Logistic regression analysis showed that carriers with the rs5418 A allele had a higher risk of CHD compared to carriers of the rs5418 G allele (OR = 1.33, 95% CI: 1.069–1.649, P = 0.01), after adjustment for gender, age, drinking and smoking behavior, hypertension and diabetes. Furthermore, haploid association analysis of the two SNP loci of the GLUT4 gene showed that the AC haplotype was associated with CHD in the Uygur population (P = 0.001598; OR = 1.36, 95% CI = 1.1228–1.6406).

Conclusions

rs5418 GLUT4 gene variants are associated with CHD in the Uygur Chinese population.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12872-022-02630-9.

Investigation of GLUT1, HIF1α and TBX21 Gene Polymorphisms in Laryngeal Cancer

Objective

We aimed to investigate the association of the frequency of three single-nucleotide polymorphisms [glucose transporter isoform 1 (GLUT1) reference single-nucleotide polymorphism (rs) 710218, hypoxia-inducible factor 1 alpha (HIF1α) rs11549465, and T-box transcription factor protein 21 (TBX21) rs17250932], which have been proved to be related with various benign and malignant diseases, with the development of laryngeal cancer and its size and grade.

Methods

In this study, we included 35 patients with laryngeal cancer and 35 volunteers at least 30 years old who had smoked for at least 20 years. DNA was obtained from the blood samples of the participants using an isolation kit. Then, polymorphisms for both the groups were determined using real-time polymerase chain reaction.

Results

No significant differences were detected regarding the genotype and allele frequencies in the three polymorphisms assessed between the two groups. In the patient group, on examining the association of polymorphisms with tumor size and grade, no significant relation was observed in three polymorphisms regarding the related parameters.

Conclusion

GLUT1, HIF1α, and TBX21 polymorphisms have no impact on the development of laryngeal cancer.

Maternal arsenic exposure and gestational diabetes and glucose intolerance in the New Hampshire birth cohort study

BACKGROUND

Gestational diabetes mellitus (GDM) is a major pregnancy complication with detrimental effects for both mothers and their children. Accumulating evidence has suggested a potential role for arsenic (As) exposure in the development of GDM, but current studies have not assessed As exposure from water, urine or toenail samples.

METHODS

We investigated the association between As exposure and risk of glucose intolerance and GDM among 1151 women enrolled in the New Hampshire Birth Cohort Study. Arsenic was measured in home well water and via biomarkers (i.e., maternal urine collected ~24-28 weeks gestation and toenail clippings collected 2 weeks postpartum).

RESULTS

A total of 105 (9.1 %) of women were diagnosed with glucose intolerance and 14 (1.2 %) of women were diagnosed with GDM. A total of 10.3 % of women had water As levels above 10 μg/L, with a mean As level of 4.2. Each 5 μg/L increase in As concentration in home well water was associated with a ~10 % increased odds of GDM (OR: 1.1, 95 % CI 1.0, 1.2). A positive and statistically significant association also was observed between toenail As and GDM (OR: 4.5, 95 % CI 1.2, 16.6), but not urinary arsenic (OR: 0.8, 95 % CI 0.3, 2.4). In a stratified analysis, the association between water As and GDM and glucose intolerance was largely limited to obese women (OR: 1.7, 95 % CI 1.0, 2.8).

CONCLUSIONS

Our findings support the role of As exposure via water from private wells in the incidence of GDM and that this association may be modified by body composition.

Genetic Variation and Insulin Resistance in Middle-Aged Chinese Men

We investigated the effect of variants in the first three genes in the insulin signaling pathway and genes identified from genome wide association studies (GWAS) of T2D quantitative traits with IR (fasting insulin and the homeostasis model assessment of IR, HOMA-IR) and evaluated gene-environment interactions with IR traits among 1879 nondiabetic middle-aged men from a population-based study conducted in Shanghai, China. One candidate gene, IGF1, was associated with fasting insulin and HOMA-IR. We observed four BMI-gene interactions (P < 0.05) with HOMA-IR (INRS rs7254060, INRS rs7254358, GLU4 rs2113050, and GLU4 rs7713127) and seven BMI-gene interactions with fasting insulin (INRS rs7254060, INRS rs7254358, INRS rs10417205, INRS rs1799817, GLU4 rs12054720 GLU4 rs2113050, and GLU4 rs7713127). There were four WHR-gene interactions with HOMA-IR (INRS rs10417205, INRS rs12971499, INRS rs7254060, and INRS rs7254358), five WHR-gene interactions with fasting insulin (INRS rs10417205, INRS rs7254060, INRS rs7254358, GLU4 rs2113050, and GLU4 rs7713127), eight physical activity-gene interactions with HOMA-IR (INRS rs10411676, INRS rs11671297, INRS rs2229431, INRS rs12461909, INRS rs6510950, INRS rs10420382, IRS2 rs913949, and IRS2 rs2241745) and five physical activity-gene interactions with fasting insulin (INRS rs2229431, INRS rs12461909, INRS rs10420382, IRS2 rs913949, and IRS2 rs2241745). Our results suggest that BMI, WHR and physical activity may modify IR-associated variants.

Association between glucose transporter 1 rs841853 polymorphism and type 2 diabetes mellitus risk may be population specific (1rs8418532)

BACKGROUND

So far, studies on the association between the glucose transporter 1 (GLUT1) rs841853 polymorphism and type 2 diabetes mellitus (T2DM) risk have generated considerable controversy. The present study was performed to clarify the association of this genetic variation with T2DM.

METHODS

A comprehensive literature search of electronic databases was conducted to obtain articles focused on the relationship between the GLUT1 rs841853 polymorphism and T2DM, followed by a systemic meta-analysis.

RESULTS

Fourteen articles and 19 individual studies were included for analysis. Main analyses revealed extreme heterogeneity and random effect pooled odds ratios (OR) were weakly significant in allele contrast (OR 1.28; 95% confidence interval [CI] 1.01, 1.63; P=0.04) and dominant model (OR 1.52; 95% CI 1.19, 1.94; P=0.0008) for T allele. Subgroup analyses for Caucasians showed marginal positive results in the dominant model. However, analyses for Asians yielded an obvious relationship to T2DM risk in all genetic models. Interestingly, T allele even seemed to be a protective factor against the development of T2DM in Blacks in allele contrast. Sensitivity analyses did not alter materially for most comparisons and no publication bias was found in this meta-analysis.

CONCLUSIONS

The results of the present meta-analysis provide evidence that the GLUT1 rs841853 polymorphism may confer increased susceptibility to T2DM in Asians. However, there is no currently available strong evidence supporting the association between this genetic variation and T2DM in Caucasians, Blacks, or the overall population.

Investigation of SLC2A1 26177A/G gene polymorphism via high resolution melting curve analysis in Malaysian patients with diabetic retinopathy

PURPOSE

In this study, we aimed to investigate the possible association between SLC2A1 26177A/G polymorphism and diabetic retinopathy (DR) in Malaysian patients with type 2 diabetes.

METHODS

Genomic DNA was extracted from 211 Malaysian type 2 diabetic patients (100 without retinopathy [DNR], 111 with retinopathy) and 165 healthy controls. A high resolution melting assay developed in this study was used to detect SLC2A1 26177A/G polymorphism followed by statistical analysis.

RESULTS

A statistically significant difference in 26177G minor allele frequency between healthy controls (19.7 %) and total patient group (26.1 %) (p<0.05, Odd ratio = 1.437, 95% Confidence interval = 1.015-2.035) as well as between healthy controls (19.7 %) and DNR patients (27.5%) (p<0.05, Odd ratio = 1.546, 95% Confidence interval = 1.024-2.336) was shown in this study. However, when compared between DR and DNR patients, there was no significant difference (p>0.05).

CONCLUSIONS

This is the first study which shows that SLC2A1 26177G allele is associated with type 2 diabetes in Malaysian population but not with DR.

Association of GLUT4 gene variants with HbA1c level in Japanese men

GLUT4 is a major mediator of glucose removal from the circulation and a key regulator of whole-body glucose homeostasis. Recent studies in south Indian populations revealed that haplotypes of the GLUT4 gene associated with type 2 diabetes. A total of 734 middle aged apparently healthy Japanese men were recruited from two separate occupational cohorts from Kanagawa and Kyoto. Participants were genotyped for GLUT4 variants, rs5418 (A/G) and rs2654185 (C/A), and association with HbA1c level was analyzed. The HbA1c value was determined by JDS method which is 0.4% lower than NGSP value. The G allele carrier of rs5418 and A allele carrier of rs2654185 associated with significantly higher HbA1c level (AG + GG vs. AA carriers; 5.2 ± 0.8 vs. 4.9 ± 0.4, P < 0.002, and AA + AC vs. CC; 5.2 ± 0.9, vs. 4.9 ± 0.4, P < 0.002, respectively). G allele, AG + GG genotype of rs5418 and A allele, AA + AC genotype of rs2654185 showed a significant association with higher HbA1c (β = 0.215, P = 0.026; β = 0.215, P = 0.026; β = 0.190, P = 0.042; β = 0.190, P = 0.042, respectively). These two SNPs are in high linkage disequilibrium (LD) of r(2) = 0.67. In haplotype analysis, four haplotypes were estimated. HbA1c is significantly higher in the most frequent GA haplotype compared with the second frequent AC haplotype (5.2% vs. 5.1%, P = 0.004). Genetic variations, rs5418 and rs2654185 in GLUT4 gene are associated with HbA1c level in Japanese men.

GLUT4 gene polymorphisms and their association with type 2 diabetes in south Indians

BACKGROUND AND OBJECTIVES

The GLUT4 gene, which encodes glucose transporter 4, is a candidate gene for type 2 diabetes mellitus (T2DM). The aim of this study was to screen the GLUT4 gene for polymorphisms and to study association of such polymorphisms with T2DM in an Asian Indian population in southern India.

METHODS

The GLUT4 gene was sequenced in 25 normal glucose tolerance (NGT) and 25 T2DM subjects, and the variants found were then genotyped by polymerase chain reaction-restriction fragment length polymorphism in a pilot study population of 552 NGT and 643 T2DM subjects, randomly selected from the Chennai Urban Rural Epidemiology Study. Two of the variants (rs5435 and the novel variant), which showed significantly higher minor allele frequency in T2DM compared with NGT individuals in the pilot study population, were then retested with an additional 465 NGT and 363 T2DM subjects, giving a final sample size of 1,017 NGT and 1,006 T2DM subjects.

RESULTS

Sequencing of the GLUT4 gene revealed three known polymorphisms (rs5418, rs5421, and rs5435) and one novel T→G variant in the 3' untranslated region (UTR) at nucleotide position 6787483. The rs5418 and rs5421 polymorphisms did not show any association with diabetes. The rs5435 [Asn130Asn(C→T)] polymorphism was found to be associated with diabetes, with the odds ratio for the CT+TT genotype being 1.26 (95% confidence interval, 1.00-1.57; P=0.043) when the CC genotype was taken as reference. The frequency of the TG genotype of the novel 3'UTR T→G variant was significantly higher in diabetes subjects (1%) compared with NGT subjects (0.2%) (P=0.021). There was a significant difference in the proportion of the ACGT haplotype of the rs5418(A→G), rs5435(C→T), rs5421(C→G), and the T→G 3'UTR variant between the NGT (7.5%) and diabetes (5%) groups (P=0.003).

CONCLUSION

The rs5435 (C→T) polymorphism of the GLUT4 gene is associated with type 2 diabetes in this south Indian population.

Case-control analysis of SNPs in GLUT4, RBP4 and STRA6: association of SNPs in STRA6 with type 2 diabetes in a South Indian population

BACKGROUND

The inverse relationship between GLUT4 and RBP4 expression is known to play a role in the pathogenesis of type 2 diabetes. Elevated levels of RBP4 were shown to cause insulin resistance in muscles and liver. Identification of STRA6 as a cell surface receptor for RBP4 provides further link in this axis and hence we analyzed SNPs in these three genes for association with type 2 diabetes in a South Indian population.

METHODOLOGY/PRINCIPAL FINDINGS

Selected SNPs in the three genes were analyzed in a total of 2002 individuals belonging to Dravidian ethnicity, South India, by Tetra Primer ARMS PCR or RFLP PCR. Allele frequencies and genotype distribution were calculated in cases and controls and were analyzed for association by Chi-squared test and Logistic regression. Haplotype analysis was carried out for each gene by including all the markers in a single block. We observed a significant association of three SNPs, rs974456, rs736118, and rs4886578 in STRA6 with type 2 diabetes (P = 0.001, OR 0.79[0.69-0.91], P = 0.003, OR 0.81[0.71-0.93], and P = 0.001, OR 0.74[0.62-0.89] respectively). None of the SNPs in RBP4 and GLUT4 showed any association with type 2 diabetes. Haplotype analysis revealed that two common haplotypes H1 (111, P = 0.001, OR 1.23[1.08-1.40]) and H2 (222, P = 0.002 OR 0.73[0.59-0.89]) in STRA6, H6 (2121, P = 0.006, OR 1.69[1.51-2.48]) in RBP4 and H4 (2121, P = 0.01 OR 1.41[1.07-1.85]) in GLUT4 were associated with type 2 diabetes.

CONCLUSION

SNPs in STRA6, gene coding the cell surface receptor for RBP4, were significantly associated with type 2 diabetes and further genetic and functional studies are required to understand and ascertain its role in the manifestation of type 2 diabetes.

Frequency distribution of XbaIG > T and HaeIIIT > C GLUT1 polymorphisms among different Brazilian ethnic groups

GLUT is the major glucose transporter in mammalian cells. Single nucleotide polymorphisms (SNP) at GLUT1 promoter and regulatory regions have been associated to the risk of developing nephropathy in different type 1 and type 2 diabetic populations. It has been demonstrated that differences in allelic and genotypic frequencies of GLUT1 gene (SLC2A1) polymorphisms occur among different populations. Therefore, ethnic differences in distribution of GLUT1 gene polymorphisms may be an important factor in determining gene-disease association. In this study, we investigated the XbaIG > T and HaeIIIT > C polymorphisms in six different Brazilian populations: 102 individuals from Salvador population (Northern Brazil), 56 European descendants from Joinville (South Brazil), 85 Indians from Tiryió tribe (North Brazil) and 127 samples from Southern Brazil: 44 from European descendants, 42 from African descendants and 41 from Japanese descendants. Genotype frequencies from both sites did not differ significantly from those expected under the Hardy-Weinberg equilibrium. We verified that the allele frequencies of both polymorphisms were heterogeneous in these six Brazilian ethnic groups.

Association of glucose transporter 1 polymorphisms with type 2 diabetes in the Tunisian population

BACKGROUND

T2DM is a complex metabolic disease. Genetic studies on T2DM have been of little help so far because several genetic association studies have shown conflicting results. In this study, we report the findings of a case-control study on three SNPs in the GLUT1 gene. For this, we investigated the association of GLUT1 genotypes and haplotypes with T2DM.

RESEARCH DESIGN AND METHODS

All 273 T2DM subjects (cases) and 343 healthy subjects (controls) were genotyped using the polymerase chain reaction restriction fragment length polymorphism.

RESULTS

Results showed that the GT genotype of XbaI SNP could increase the risk of susceptibility to T2DM to 2.4 and that TAT is a 'risk haplotype' conferring a risk of 3.4 to T2DM.

CONCLUSION

The TAT haplotype of the GLUT1 gene confers susceptibility to T2DM in the Tunisian population.

The genetics of gestational diabetes mellitus: evidence for relationship with type 2 diabetes mellitus

Gestational diabetes is a major public health problem because of its prevalence, its associated complications during pregnancy, and its increased risk for type 2 diabetes later in life. Insulin resistance is one of many physiological changes occurring during pregnancy, and when insulin resistance is accompanied by pancreatic beta-cell insufficiency, gestational diabetes may develop. Several lines of evidence suggest that gestational diabetes shares a common etiology with type 2 diabetes and support the hypothesis that gestational diabetes serves as a window to reveal a predisposition to type 2 diabetes. Pregnancy is an environmental stressor that may catalyze the progression to a diabetic state in genetically predisposed women; therefore, identification of these women during pregnancy could decrease the occurrence of type 2 diabetes through targeted prevention. This review presents an overview of the genetics of gestational diabetes, focusing on human association studies with candidate genes common to both type 2 diabetes and gestational diabetes.

Reduced NO synthesis and eNOS mRNA expression in endothelial cells from newborns with a strong family history of type 2 diabetes

BACKGROUND

A deficient synthesis of nitric oxide (NO) may play a role in the early endothelial dysfunction of healthy humans with a strong family history of type 2 diabetes (DM2). In this study, we evaluate the intracellular synthesis of NO and the expression of eNOS transcripts in human umbilical vein endothelial cells (HUVECs), exposed to high glucose concentrations, of healthy newborns with (experimental) and without (control) a strong family history of DM2.

METHODS

HUVECs were incubated in M-199 culture media (containing a 5 mmol/L physiological glucose concentration) or supraphysiological glucose concentrations (15 or 30 mmol/L), for 48 h. Flow cytometry, reactive of Griess and RT-PCR were used to determine intracellular NO synthesis, presence of NO metabolites, and expression of eNOS, GLUT1 or p53 transcripts.

RESULTS

NO synthesis in experimental HUVECs showed a progressive reduction in the presence of increasing glucose concentration (11% for 5 mmol to 8% for 30 mmol; p < 0.01), whereas control HUVECs showed an increase in NO synthesis (3% for 5 mmol to 31% for 30 mmol; p < 0.001). In experimental HUVECs, we found a diminished expression of eNOS and p53, and also an enhanced expression of GLUT1 mRNA transcripts. Control HUVECs showed an increase in eNOS, and no modifications in p53 or GLUT1 mRNA transcripts.

CONCLUSIONS

Our results show how HUVECs, isolated from healthy newborns with a strong family history of DM2, have an abnormal intracellular synthesis of NO and an impaired expression of eNOS, GLUT1 and p53 genes, all associated with NO synthesis.

Target gene discovery in extended families with type 2 diabetes mellitus

Type 2 diabetes mellitus is a polygenic, multifactorial disease. Multiple attempts have been made to identify genes that predispose to development of diabetes using both the candidate gene approach and whole genome scanning. However, in spite of substantial financial commitment, very few targets have been identified. Identification of predisposing genes is complicated by several factors. Diabetic patients demonstrate a variety of gene defect combinations. Identification of predisposing genomic regions is thus impeded if data are collected from a heterogeneous population. In addition, the diseased phenotype may only manifest when the net effect of the predisposing factors exceeds a certain "threshold". The effects of predisposing genetic and environmental factors thus appear to be additive, and this also complicates target gene discovery. Using the traditional approach, significant associations between genomic regions and disease are rarely observed unless data are acquired from hundreds of individuals. In contrast, results from whole genome scans performed in homogeneous and consanguineous populations with a high incidence of type 2 diabetes have demonstrated that highly significant associations can be obtained using data from a small number of subjects belonging to the same extended family. Such populations offer the promise of substantial progress in type 2 diabetes genomics research.

The inherited basis of diabetes mellitus: implications for the genetic analysis of complex traits

Diabetes encompasses a heterogeneous group of diseases, each with a substantial genetic component. We review the division of diabetes into different subtypes based on clinical phenotype, the fruitful pursuit of genes underlying monogenic forms of the disease, the successes and drawbacks of whole-genome linkage scans in type 1 and type 2 diabetes, and the recent identification of several diabetes genes by large association studies. We use the lessons learned from this extensive body of evidence to illustrate general implications for the genetic analysis of complex traits.

GLUT1 gene polymorphism in non-insulin-dependent diabetes mellitus: genetic susceptibility relationship with cardiovascular risk factors and microangiopathic complications in a Mediterranean population

OBJECTIVE

It has been suggested that the polymorphic variation of GLUT1 glucose transporter may contribute to genetic susceptibility to type 2 diabetes in some populations. We have evaluated the GLUT1-XbaI polymorphism in an association study of a Caucasian Mediterranean population and its role in the susceptibility to displaying either microangiopathic complications or any of the risk factors associated with type 2 diabetes.

RESEARCH DESIGN AND METHODS

A total of 193 type 2 diabetic patients (104 women and 89 men, 31-82 years of age, diabetes duration 13.2 +/- 6.2 years) and 90 healthy subjects (48 women and 42 men, 20-72 years of age) were recruited for the association study. For the evaluation of nephropathy and retinopathy, type 2 diabetic patients were matched with those not having microangiopathic complications.

RESULTS

Genotypic or allelic frequencies did not differ significantly between controls and type 2 diabetic patients. Regarding the distribution of clinical or metabolic parameters according to GLUT1 genotype, patients with X1X1 genotype tended to have higher diastolic blood pressure levels compared with the remaining genotypes (P = 0.008). There were no differences in genotypic or allelic distribution among patients for either the presence or absence of retinopathy or nephropathy.

CONCLUSIONS

We conclude that GLUT1 loci did not contribute significantly to type 2 diabetes in this cohort and is not a determinant for cardiovascular risk factors or chronic microangiopathic complications associated with type 2 diabetes. The weak association with diastolic hypertension must be confirmed in other populations.