scholarly journals Association of Genetic Polymorphisms in MicroRNAs With Type 2 Diabetes Mellitus in a Chinese Population

2021 ◽  
Vol 11 ◽  
Author(s):  
Zaihan Zhu ◽  
Yanfen Zhang ◽  
Ruocen Bai ◽  
Ru Yang ◽  
Zhongyan Shan ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Environmental Factors ◽  
Signaling Pathways ◽  
Insulin Signaling ◽  
Chinese Population ◽  
Interaction Effects ◽  
Nucleotide Polymorphisms

IntroductionMicroRNAs (miRNA) involved in the insulin signaling pathways deeply affect the pathogenesis of T2DM. The aim of this study was to assess the association between single nucleotide polymorphisms (SNP) of the related miRNAs (let-7f rs10877887, let-7a-1 rs13293512, miR-133a-1 rs8089787, miR-133a-2 rs13040413, and miR-27a rs895819) and susceptibility to type 2 diabetes mellitus (T2DM), and its possible mechanisms.MethodsFive SNPs in miRNAs (let-7f rs10877887, let-7a-1 rs13293512, miR-133a-1 rs8089787, miR-133a-2 rs13040413, and miR-27a rs895819) involved in the insulin signaling pathways were selected and genotyped in a case-control study that enrolled 371 T2DM patients and 381 non-diabetic controls. The individual SNP association analyses, interaction analyses of SNP-SNP, SNP-environmental factors were performed. The effect the risk-associated polymorphism on regulating its mature miRNA expression was also evaluated.ResultsIn overall analyses, miR-133a-2 rs13040413 and let-7a-1 rs13293512 were related to the susceptibility to T2DM. In stratified analyses, miR-133a-2 rs13040413, let-7a-1 rs13293512 and miR-27a rs895819 showed associations with T2DM in the age ≥ 60 years subgroup. Moreover, let-7a-1 rs13293512 and miR-27a rs895819 showed associations with T2DM in male subgroup. In SNP-environmental factors interaction analyses, there were interaction effects of miR-133a-2 rs13040413 with dyslipidemia, let-7a-1 rs13293512 with smoking, and let-7a-1 rs13293512 with dyslipidemia on T2DM. In SNP-SNP interaction analyses, there were also interaction effects of miR-133a-1 rs8089787 with let-7a-1 rs13293512, and miR-133a-1 rs8089787 with let-7f rs10877887 on T2DM. Furthermore, for miR-133a-2 rs13040413, the variant T allele showed a trend toward decreased miR-133a expression in comparison with the wild C allele. For let-7a-1 rs13293512, the variant C allele expressed a lower let-7a compared to the wild T allele.ConclusionMiRNAs polymorphisms involved in the insulin signaling pathways and the interaction effects of SNP-SNP, SNP-environmental factors were related to T2DM susceptibility in a Chinese population.

scholarly journals The Niemann–Pick C1-like 1 rs2073547 polymorphism is associated with type 2 diabetes mellitus in a Chinese population

2019 ◽  
Vol 47 (9) ◽  
pp. 4260-4271
Author(s):  
Zhenxing Huang ◽  
Ruyin Tan ◽  
Liheng Meng ◽  
Haiyan Yang ◽  
Xinghuan Liang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Chinese Population ◽  
Density Lipoprotein ◽  
Genotype Distribution ◽  
Nucleotide Polymorphisms ◽  
Gamma Glutamyl Transpeptidase ◽  
Niemann Pick

Objective To explore the association between Niemann–Pick C1-like 1 gene ( NPC1L1) single nucleotide polymorphisms and type 2 diabetes mellitus (T2DM) in a Chinese population. Methods Using propensity score matching, 490 T2DM patients and 490 matched controls were recruited from 13 communities in Guangxi, China. NPC1L1 rs217386 and rs2073547 genotyping was performed using a MassARRAY system. Results The rs2073547 genotype distribution differed significantly among patient groups. Low-density lipoprotein cholesterol levels were similar among different rs2073547 genotypes and alleles. The rs2073547 AG genotype was significantly more prevalent in patients with T2DM. After adjusting for risk or protective factors for diabetes, AG and GG+AG genotypes of rs2073547 were associated with significantly increased risks of T2DM. Compared with the AA genotype, the AG genotype was associated with a significantly higher risk of T2DM in participants with gamma-glutamyl transpeptidase (GGT) <45 U/L, systolic blood pressure (SBP) ≥140 mmHg, or triglyceride <1.70 mmol/L. In participants with GGT <45 U/L or SBP ≥140 mmHg, the GG+AG genotype was associated with a significantly higher T2DM risk versus the AA genotype. Conclusions The rs2073547 polymorphism of NPC1L1 may be related to T2DM susceptibility in the Chinese population.

scholarly journals Association analysis of SOCS3, JAK2 and STAT3 gene polymorphisms and genetic susceptibility to type 2 diabetes mellitus in Chinese population

2022 ◽  
Vol 14 (1) ◽  
Author(s):  
Yang Zhang ◽  
Chunwen Lin ◽  
Rong Chen ◽  
Ling Luo ◽  
Jialu Huang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Environmental Factors ◽  
Genetic Susceptibility ◽  
Frequency Distribution ◽  
Chinese Population ◽  
Chi Square ◽  
Chi Square Test

Abstract Aim The association of polymorphisms in the three genes of SOCS3, JAK2 and STAT3 with genetic susceptibility to type 2 diabetes mellitus (T2DM) was explored, and its interaction with environmental factors such as hypertension and triglycerides was analyzed. Methods The Hardy–Weinberg balance test was used to analyze the random balance of genes in the population. The analysis of the association of SNPs with T2DM was performed using Pearson’s chi-square test. Haplotype frequency distribution, SNPs-SNPs interaction and environmental factors were analyzed by chi-square test and logistic regression. Results The genotype distribution of SNPs rs2280148 of the SOCS3 gene was statistically significant. The allele frequency distribution of SNPs (rs4969168/rs2280148) was statistically different. After covariate correction, the SOCS3 gene locus (rs4969168) showed an association with T2DM in additive model, while the rs2280148 locus showed an association with T2DM in all three models. The locus (rs10974914/rs10815157) allele and genotype frequency distribution of JAK2 were statistically significant. After covariate correction, two SNPs in the gene showed association with T2DM in both additive and recessive models. The distribution of genotype frequencies of SNPs rs1053005 locus in gene STAT3 was statistically significant between the two groups. In recessive genetic models, rs1053005 locus polymorphisms was associated with T2DM. Haplotype S3 (G G)/S 4 (G T) of the SOCS3 gene as well as haplotype J2 (A G)/J 3 (G C) of the JAK2 gene were closely associated with T2DM. There was an interaction between SNPs rs4969168 and SNPs rs2280148 in the SOCS3 gene. There was an interaction between the SOCS3, JAK2 and STAT3 genes and hypertension/triglycerides. Conclusion The SOCS3 and JAK2 genes may be associated with T2DM in the Chinese population, in which SNPs carrying the A allele (rs4969168)/G allele (rs2280148)/C allele (rs10815157) have a reduced risk of T2DM. Haplotype S3 (G G)/S 4 (G T) of the SOCS3 gene and haplotype J2 (A G)/J 3 (G C) of the JAK2 gene may be influencing factor for T2DM. The interaction between SNPs rs4969168 and SNPs rs2280148 increases the risk of T2DM. Hypertension and triglycerides may interact with SNPs of T2DM susceptibility genes.

scholarly journals Association between RBMS1 gene rs7593730 and BCAR1 gene rs7202877 and Type 2 Diabetes Mellitus in a Chinese Han Population

2018 ◽  
Vol 65 (3) ◽  
Author(s):  
Elena Kazakova ◽  
Meijun Chen ◽  
Esma Jamaspishvili ◽  
Zhang Lin ◽  
Jingling Yu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Chinese Population ◽  
Additive Model ◽  
Recessive Model ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Single Nucleotide

Two recent studies found that RBMS1 gene rs7593730 and BCAR1 gene rs7202877 had relationships with type 2 diabetes. However, the association of these loci with type 2 diabetes mellitus (T2DM) has not been examined in Chinese. We performed a replication study to investigate the association of 2 susceptibility loci with T2DM in the Chinese population. We genotyped 1961 Chinese participants (991 with T2DM and 970controls) for each of the 2 single nucleotide polymorphisms (SNPs) rs7593730 in RBMS1 and rs7202877 near BCAR1 using SNPscan and examined the association of them with T2DM using logistic regression analysis. We also analyzed the correlation of the SNP allele and clinical phenotypes. In additive model, genotype association analysis of BCAR1 rs7202877 loci revealed that the homozygous of rs7202877 GG carriers had a significant decreased T2DM risk compared to homozygous carriers of TT (p= 0.038, OR 0.44, 95 % CI 0.20-0.96). In the recessive model, the genotype GG carriers had a significant decreased T2DM risk compared to GT+TT (p= 0.043, OR 0.67, 95% CI 0.46-0.99). Allele G was statistically significantly correlated with TC (mmol/L) (P=0.036) and LDL-C (mmol/L) (P=0.007). As for rs7593730, the carriers of genotype CT and TT had significantly decreased T2DM risk compared with the carriers of genotype CC (CT: CC P=0.038, OR 0.71, 95%CI 0.51-0.98; TT: CC P=0.010, OR 0.32, 95%CI 0.13-0.76). In a dominant model, TT+CT: CC (p= 0.013, OR 0.673, 95 % CI 0.49-0.92) and in a recessive model, TT: CT+CC (p= 0.019, OR 0.59, 95% CI 0.39-0.92). The T allele carriers had a significant decreased T2DM risk compared to carriers of C (p= 0.002, OR 0.65, 95 % CI 0.50-0.86). Allele T was statistically correlated with FINS (P=0.010). In conclusion, our study showed that RBMS1 gene rs7593730 and BCAR1 gene rs7202877 were significantly associated with type 2 diabetes in the Chinese population.

scholarly journals Association of polymorphisms in CYP2C8 and CYP2C9 with susceptibility to type 2 diabetes mellitus in a Chinese population

2020 ◽  
Author(s):  
Li Jin ◽  
Yan Huang ◽  
Yangyang Li ◽  
Bo Xu ◽  
Cheng Hu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Chinese Population ◽  
Density Lipoprotein ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Beneficial Effects ◽  
Study Population

Abstract Background: CYP2C8 and CYP2C9 are cytochrome P450 epoxygenases that metabolize arachidonic acid into epoxyeicosatrienoic acids (EETs). EETs are important lipid mediators with many beneficial effects in type 2 diabetes mellitus. In this study, we aimed to investigate the association of CYP2C8 and CYP2C9 variants with type 2 diabetes in a Chinese population. Methods: We genotyped 9 tag single nucleotide polymorphisms (SNPs) in CYP2C8 and 10 tag SNPs in CYP2C9 based on HapMap Chinese and Japanese data. Then, we genotyped the SNPs in a Chinese population that included 3410 type 2 diabetes patients and 3401 normal controls. The association between the SNPs and type 2 diabetes was analysed. Results: In the study population, we found that rs1819173 in the CYP2C9 gene region was associated with type 2 diabetes and the A allele was protective against type 2 diabetes (odds ratio: 0.840, 95% confidence interval (CI): 0.780-0.904, P=3.04×10-6). Haplotypes GT and AT (rs2071426-rs6583967) in CYP2C8 were associated with type 2 diabetes (P=0.049 and 0.038, respectively). On the other hand, an interaction effect between rs1819173 in CYP2C9 and rs12766752 in CYP2C8 on type 2 diabetes was found (P=0.003). What’s more, rs1819173 showed significant association with HDL-C (high-density lipoprotein cholesterol).Conclusions: Our results suggested that common SNPs in the CYP2C8 and CYP2C9 regions were associated with T2DM in a Chinese Han population.

scholarly journals Insulin Resistance and Diabetes Mellitus in Alzheimer’s Disease

Cells ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1236
Author(s):  
Jesús Burillo ◽  
Patricia Marqués ◽  
Beatriz Jiménez ◽  
Carlos González-Blanco ◽  
Manuel Benito ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Alzheimer’S Disease ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Alzheimer's Disease ◽  
Type 2 Diabetes Mellitus ◽  
Insulin Signaling ◽  
Molecular Mechanisms ◽  
Progressive Disease

Type 2 diabetes mellitus is a progressive disease that is characterized by the appearance of insulin resistance. The term insulin resistance is very wide and could affect different proteins involved in insulin signaling, as well as other mechanisms. In this review, we have analyzed the main molecular mechanisms that could be involved in the connection between type 2 diabetes and neurodegeneration, in general, and more specifically with the appearance of Alzheimer’s disease. We have studied, in more detail, the different processes involved, such as inflammation, endoplasmic reticulum stress, autophagy, and mitochondrial dysfunction.

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