scholarly journals Effects of MTNR1B genetic variants on the risk of type 2 diabetes mellitus: A meta‐analysis

2019 ◽  
Vol 7 (5) ◽  
pp. e611 ◽  
Author(s):  
Ling‐long Shen ◽  
Yin Jin
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Genetic Variants ◽  
Meta Analysis

scholarly journals Data-Driven Modeling of Knowledge Assemblies in Understanding Comorbidity Between Type 2 Diabetes Mellitus and Alzheimer’s Disease

2020 ◽  
Vol 78 (1) ◽  
pp. 87-95
Author(s):  
Reagon Karki ◽  
Sumit Madan ◽  
Yojana Gadiya ◽  
Daniel Domingo-Fernández ◽  
Alpha Tom Kodamullil ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Alzheimer’S Disease ◽  
Type 2 Diabetes ◽  
Alzheimer's Disease ◽  
Type 2 Diabetes Mellitus ◽  
Genetic Variants ◽  
Molecular Mechanisms ◽  
Meta Analysis ◽  
Relevant Literature

Background: Recent studies have suggested comorbid association between Alzheimer’s disease (AD) and type 2 diabetes mellitus (T2DM) through identification of shared molecular mechanisms. However, the inference is pre-dominantly literature-based and lacks interpretation of pre-disposed genomic variants and transcriptomic measurables. Objective: In this study, we aim to identify shared genetic variants and dysregulated genes in AD and T2DM and explore their functional roles in the comorbidity between the diseases. Methods: The genetic variants for AD and T2DM were retrieved from GWAS catalog, GWAS central, dbSNP, and DisGeNet and subjected to linkage disequilibrium analysis. Next, shared variants were prioritized using RegulomeDB and Polyphen-2. Afterwards, a knowledge assembly embedding prioritized variants and their corresponding genes was created by mining relevant literature using Biological Expression Language. Finally, coherently perturbed genes from gene expression meta-analysis were mapped to the knowledge assembly to pinpoint biological entities and processes and depict a mechanistic link between AD and T2DM. Results: Our analysis identified four genes (i.e., ABCG1, COMT, MMP9, and SOD2) that could have dual roles in both AD and T2DM. Using cartoon representation, we have illustrated a set of causal events surrounding these genes which are associated to biological processes such as oxidative stress, insulin resistance, apoptosis and cognition. Conclusion: Our approach of using data as the driving force for unraveling disease etiologies eliminates literature bias and enables identification of novel entities that serve as the bridge between comorbid conditions.

Systematic Literature Review and Network Meta-analysis (NMA) of SGLT2i as Monotherapy for Type 2 Diabetes Mellitus (T2DM)

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1159-P
Author(s):  
GLENN M. DAVIES ◽  
ANN MARIE MCNEILL ◽  
ELIZA KRUGER ◽  
STACEY L. KOWAL ◽  
FLAVIA EJZYKOWICZ ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Meta Analysis

Plant-based diet and risk of type 2 diabetes mellitus: a systematic review and meta-analysis

2020 ◽  
pp. 1301-1306
Author(s):  
Arwa Aljabali ◽  
Roaa Maghrabi ◽  
Ahmad Shok ◽  
Ghufran Alshawmali ◽  
Abdullah Alqahtani ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Meta Analysis

Cinammon (Cinnamomum Spp.) and Type 2 Diabetes Mellitus

2019 ◽  
Vol 18 (3) ◽  
pp. 247-255
Author(s):  
Sierra-Puente D. ◽  
Abadi-Alfie S. ◽  
Arakanchi-Altaled K. ◽  
Bogard-Brondo M. ◽  
García-Lascurain M. ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Systematic Reviews ◽  
Meta Analysis ◽  
Fasting Blood Glucose ◽  
Tolerance Test ◽  
Oral Glucose ◽  
Key Aspects

Spices such as cinnamon (Cinnamomum Spp.) have been of interest due to their phytochemical composition that exert hypoglycemic effects with potential for management of type 2 diabetes mellitus (T2DM). We summarize data from 27 manuscripts that include, one book chapter, 3 review articles, 10 randomized controlled trials, 4 systematic reviews with meta-analysis, and 9 preclinical studies. The most frequently used cinnamon variety was Cinnamomum cassia rather than the Cinnamomum zeylanicum, whereas outcomes were defined as fasting blood glucose, glycated hemoglobin, and oral glucose tolerance test. A great variability in methodology such as different doses (from 120 mg to 6 g), duration of intervention, data retrieved and use of different concomitant medication, were found to be key aspects of most of trials and systematic reviews with meta-analysis available to date. Low quality studies have been made in most cases with a lot of heterogeneity clouding significance of results. More research needs to be done in order to yield accurate evidence for evidence-based recommendations. Its use is not currently a reliable nor advisable option for the treatment of T2DM.

The GSTM1 and GSTT1 Null Genotypes Increase the Risk for Type 2 Diabetes Mellitus and the Subsequent Development of Diabetic Complications: A Meta-analysis

2018 ◽  
Vol 15 (1) ◽  
pp. 31-43 ◽  
Author(s):  
Sayantan Nath ◽  
Sambuddha Das ◽  
Aditi Bhowmik ◽  
Sankar Kumar Ghosh ◽  
Yashmin Choudhury
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Meta Analysis ◽  
Subsequent Development ◽  
Asian Population ◽  
Gstm1 Null Genotype ◽  
Increased Risk

Background:Studies pertaining to association of GSTM1 and GSTT1 null genotypes with risk of T2DM and its complications were often inconclusive, thus spurring the present study.Methods:Meta-analysis of 25 studies for evaluating the role of GSTM1/GSTT1 null polymorphisms in determining the risk for T2DM and 17 studies for evaluating the role of GSTM1/GSTT1 null polymorphisms in development of T2DM related complications were conducted.Results:Our study revealed an association between GSTM1 and GSTT1 null polymorphism with T2DM (GSTM1; OR=1.37;95% CI =1.10-1.70 and GSTT1; OR=1.29;95% CI =1.04-1.61) with an amplified risk of 2.02 fold for combined GSTM1-GSTT1 null genotypes. Furthermore, the GSTT1 null (OR=1.56;95%CI=1.38-1.77) and combined GSTM1-GSTT1 null genotypes (OR=1.91;95%CI=1.25- 2.94) increased the risk for development of T2DM related complications, but not the GSTM1 null genotype. Stratified analyses based on ethnicity revealed GSTM1 and GSTT1 null genotypes increase the risk for T2DM in both Caucasians and Asians, with Asians showing much higher risk of T2DM complications than Caucasians for the same. </P><P> Discussion: GSTM1, GSTT1 and combined GSTM1-GSTT1 null polymorphism may be associated with increased risk for T2DM; while GSTT1 and combined GSTM1-GSTT1 null polymorphism may increase the risk of subsequent development of T2DM complications with Asian population carrying an amplified risk for the polymorphism.Conclusion:Thus GSTM1 and GSTT1 null genotypes increases the risk for Type 2 diabetes mellitus alone, in combination or with regards to ethnicity.

Sign in / Sign up

Export Citation Format

Share Document