scholarly journals Characteristics of the Gut Microbiota and Potential Effects of Probiotic Supplements in Individuals with Type 2 Diabetes mellitus

Foods ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 2528
Author(s):  
Rafael Ballan ◽  
Susana Marta Isay Saad
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Gut Microbiota ◽  
Association Studies ◽  
Short Chain Fatty Acids ◽  
Genome Wide Association Studies ◽  
Microbial Metabolites ◽  
Tryptophan Metabolites

The increasing prevalence of type 2 diabetes mellitus (T2DM) worldwide has become a burden to healthcare systems. In 2019, around 463 million adults were living with diabetes mellitus, and T2DM accounted for 90 to 95% of cases. The relationship between the gut microbiota and T2DM has been explored with the advent of metagenomic techniques. Genome-wide association studies evaluating the microbiota of these individuals have pointed to taxonomic, functional, and microbial metabolite imbalances and represent a potential intervention in T2DM management. Several microbial metabolites and components, such as imidazole propionate, trimethylamine, and lipopolysaccharides, appear to impair insulin signaling, while short-chain fatty acids, secondary bile acids, and tryptophan metabolites may improve it. In addition, the use of probiotics with the aim of transiently restoring the microbial balance or reducing the effects of microbial metabolites that impair insulin sensitivity has been explored. Herein, we critically review the available literature on the changes in the gut microbiota in T2DM together with potential adjuvant therapies that may improve the health status of this population.

scholarly journals Sequence Variants ofADIPOQand Association with Type 2 Diabetes Mellitus in Taiwan Chinese Han Population

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Ming-Kai Tsai ◽  
Hui-Min David Wang ◽  
Jeng-Chuan Shiang ◽  
I-Hung Chen ◽  
Chih-Chiang Wang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Large Scale ◽  
Association Studies ◽  
Chinese Han Population ◽  
Genome Wide Association Studies ◽  
Chinese Han ◽  
Han Population

Diabetes is a serious global health problem. Large-scale genome-wide association studies identified loci for type 2 diabetes mellitus (T2DM), including adiponectin (ADIPOQ) gene and transcription factor 7-like 2 (TCF7L2), but few studies clarified the effect of genetic polymorphisms ofADIPOQandTCF7L2on risk of T2DM. We attempted to elucidate association between T2DM and polymorphic variations of both in Taiwan’s Chinese Han population, with our retrospective case-control study genotyping single nucleotide polymorphisms (SNPs) inADIPOQandTCF7L2genes both in 149 T2DM patients and in 139 healthy controls from Taiwan. Statistical analysis gauged association of these polymorphisms with risk of T2DM to showADIPOQrs1501299 polymorphism variations strongly correlated with T2DM risk(P=0.042), with rs2241766 polymorphism being not associated with T2DM(P=0.967). However, both polymorphisms rs7903146 and rs12255372 ofTCF7L2were rarely detected in Taiwanese people. This study avers thatADIPOQrs1501299 polymorphism contributes to risk of T2DM in the Taiwanese population.

Use of mouse models in studying type 2 diabetes mellitus

2010 ◽  
Vol 12 ◽  
Author(s):  
Angela W.S. Lee ◽  
Roger D. Cox
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Mouse Models ◽  
Association Studies ◽  
Large Population ◽  
Genome Wide Association Studies ◽  
Novel Genes ◽  
Common Genetic Variants

The use of mouse models in medical research has greatly contributed to our understanding of the development of type 2 diabetes mellitus and the mechanisms of disease progression in the context of insulin resistance and β-cell dysfunction. Maintenance of glucose homeostasis involves a complex interplay of many genes and their actions in response to exogenous stimuli. In recent years, the availability of large population-based cohorts and the capacity to genotype enormous numbers of common genetic variants have driven various large-scale genome-wide association studies, which has greatly accelerated the identification of novel genes likely to be involved in the development of type 2 diabetes. The increasing demand for verifying novel genes is met by the timely development of new mouse resources established as various collaborative projects involving major transgenic and phenotyping centres and laboratories worldwide. The surge of new data will ultimately enable translational research into potential improvement and refinement of current type 2 diabetes therapy options, and hopefully restore quality of life for patients.

scholarly journals Gut Microbiota and Type 2 Diabetes Mellitus: Association, Mechanism, and Translational Applications

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Lili Zhang ◽  
Jinjin Chu ◽  
Wenhao Hao ◽  
Jiaojiao Zhang ◽  
Haibo Li ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Gut Microbiota ◽  
Fecal Microbiota Transplantation ◽  
Short Chain Fatty Acids ◽  
Fecal Microbiota ◽  
Secondary Bile Acid ◽  
Underlying Mechanisms

Gut microbiota has attracted widespread attention due to its crucial role in disease pathophysiology, including type 2 diabetes mellitus (T2DM). Metabolites and bacterial components of gut microbiota affect the initiation and progression of T2DM by regulating inflammation, immunity, and metabolism. Short-chain fatty acids, secondary bile acid, imidazole propionate, branched-chain amino acids, and lipopolysaccharide are the main molecules related to T2DM. Many studies have investigated the role of gut microbiota in T2DM, particularly those butyrate-producing bacteria. Increasing evidence has demonstrated that fecal microbiota transplantation and probiotic capsules are useful strategies in preventing diabetes. In this review, we aim to elucidate the complex association between gut microbiota and T2DM inflammation, metabolism, and immune disorders, the underlying mechanisms, and translational applications of gut microbiota. This review will provide novel insight into developing individualized therapy for T2DM patients based on gut microbiota immunometabolism.

Genetic Variations and Subclinical Markers of Carotid Atherosclerosis in Patients with Type 2 Diabetes Mellitus

2018 ◽  
Vol 17 (1) ◽  
pp. 16-24 ◽  
Author(s):  
Sara Mankoč Ramuš ◽  
Daniel Petrovič
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Methylenetetrahydrofolate Reductase ◽  
Association Studies ◽  
Subclinical Atherosclerosis ◽  
Surrogate Marker ◽  
Diabetic Patients ◽  
Genome Wide Association Studies

Atherosclerosis and its cardiovascular complications are the main cause of death in diabetic patients. Patients with diabetes mellitus have a greater than 10-fold risk of cardiovascular disease in their lifetime. The carotid Intima-Media Thickness (cIMT), a surrogate marker for the presence and progression of atherosclerosis, predicts future cardiovascular events in asymptomatic subjects with Type 2 Diabetes Mellitus (T2DM). This review focuses on genetic variants that contribute to the pathobiology of subclinical atherosclerosis in the setting of T2DM. Specifically, we devoted our attention to wellstudied genes selected for their relevance for atherosclerosis. These include: The Renin-Angiotensin- Aldosterone System (RAAS), Apolipoprotein E (ApoE), Methylenetetrahydrofolate Reductase (MTHFR) and pro-inflammatory genes. </P><P> The ever-growing availability of advanced genotyping technologies has made Genome-Wide Association Studies (GWAS) possible. Although several bioinformatics tools have been developed to manage and interpret the huge amounts of data produced, there has been limited success in the many attempts to uncover the biological meaning of the novel susceptibility loci for atherosclerosis.

scholarly journals Stratification of Type 2 Diabetes Mellitus by Age of Diagnosis in the UK Biobank Reveals Subgroup-Specific Genetic Associations and Causal Risk Profiles

2021 ◽  
Author(s):  
Raymond Noordam ◽  
Kristi Läll ◽  
Roelof AJ Smit ◽  
Triin Laisk ◽  
Ruth JF Loos ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Association Studies ◽  
Age Groups ◽  
Genome Wide Association Studies ◽  
Genetic Associations ◽  
Age Of Diagnosis

<a>The pathogenesis of type 2 diabetes mellitus (T2D) might change with increasing age. Here, we used a stratification based on age of diagnosis, to gain insight in the genetics and causal risk factors of T2D across different age groups. </a>We performed genome-wide association studies (GWAS) on T2D and T2D subgroups based on age of diagnosis (<50 years, 50-60, 60-70, and >70 years; total of 24,986 cases). As controls, we used participants who were at least 70 years of age at the end of follow-up without developing T2D (N = 187,130). GWAS identified 208 independent lead SNPs mapping to 69 loci associated with T2D (p<1.0e-8). Among others, SNPs mapped to <i>CDKN2B-AS1</i> and multiple independent SNPs mapped to <i>TCF7L2</i> were more strongly associated to cases diagnosed after age 70 years than to cases diagnosed before age 50 years. Based on the different case groups, we performed two-sample Mendelian Randomization.<b> </b>Most notably, we observed that of the investigated risk factors the association between body mass index and T2D attenuated with increasing age of diagnosis. Collectively, stratification of T2D based on age of diagnosis reveals subgroup-specific genetics and causal determinants, supporting the hypothesis that the pathogenesis of T2D changes with increasing age.

Investigation of the Association between 45 Tag SNPs and Type 2 Diabetes Mellitus in Han Chinese Adults: A Prospective Cohort Study

2021 ◽  
pp. 1-8
Author(s):  
Yun Chen ◽  
Xiao-Ying Chen ◽  
Xiao-Lian Dong ◽  
Yu-Zhuo Wang ◽  
Na Wang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Genetic Model ◽  
Cox Model ◽  
Association Studies ◽  
Han Chinese ◽  
Genome Wide Association Studies ◽  
Chinese Adults

Introduction: The objective of this study was to examine the association between type 2 diabetes mellitus (T2DM) and genes identified in previous genome-wide association studies (GWASs) in rural Han Chinese adults. Methods: This prospective study included 1,832 adults aged ≥18 years in Deqing without diabetes at baseline. The subjects were followed up for 8.7 years on average. We selected 45 susceptible tag single-nucleotide polymorphisms (SNPs) for T2DM that have been identified in GWASs and genotyped. A Cox model was constructed to calculate the adjusted hazard ratios (aHRs) for the association between SNPs and incident T2DM. Results: The incidence rate of T2DM was 12.0 per 1,000 person-years. After adjustment for covariates and a Bonferroni correction, rs17584499 of protein tyrosine phosphatase, receptor-type D (PTPRD), rs11257655 and rs10906115 of cell division cycle 123 gene (CDC123), and rs12970134 of melanocortin-4 receptor (MC4R) were significantly associated with incident T2DM. The aHRs for incident T2DM were 1.75 (95% confidence interval [CI]: 1.28–2.40) and 1.61 (95% CI: 1.27–2.04) in association with an increasing number of T alleles in rs17584499 and rs11257655 under an additive genetic model, and the aHR was 1.72 (95% CI: 1.33–2.22) with an increasing number of A alleles in rs10906115. The aHRs under the dominant model were 1.82 (95% CI: 1.25–2.66) for TT + CT versus CC of rs17584499 and 2.04 (95% CI: 1.47–2.86) for AA + AG versus GG of rs10966115. The aHRs under the recessive model were 2.99 (95% CI: 1.30–6.89) for TT versus CT + CC of rs17584499, 1.92 (95% CI: 1.39–2.70) for TT versus CT + CC of rs11257655, and 2.54 (95% CI:1.22–5.29) for AA versus AG + GG of rs12970134. In addition, an increased incidence of T2DM was significantly associated with the TA haplotype of rs11257655 and rs10906115 (aHR = 1.81, 95% CI: 1.12–2.92), while a decreased incidence was associated with the CG haplotype (aHR = 0.49, 95% CI: 0.35–0.68) and the CT haplotype of rs1111875 and rs5015480 (aHR = 0.61, 95% CI: 0.37–0.98). Conclusion: Variants of the PTPRD, CDC123, and MC4R genes were associated with the T2DM incidence in a rural Han Chinese population.

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