scholarly journals Association between ApoE polymorphism and type 2 diabetes: A meta-analysis of 59 studies

2019 ◽  
Author(s):  
Dawei Chen ◽  
Jikang Shi ◽  
Yun Li ◽  
Yu Yang ◽  
Hui Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Meta Analysis ◽  
Random Effect ◽  
Apoe Polymorphism ◽  
Case Control Studies ◽  
Effective Strategies ◽  
Increased Risk ◽  
Random Effect Models

Abstract(1)AimsDue to the ever increasing incidence of T2DM, it is estimated that only half of the 79 million adults with type 2 diabetes (T2DM) will have adequate access to insulin by 2030 if the current levels of access is not improved. It is urgent to identify the important risk factors for T2DM and develop effective strategies to address the problem of T2DM. Our study aimed to evaluate the association between apolipoprotein E (ApoE) genetic polymorphism and type 2 diabetes, and to provide clues for the etiology of T2DM and even molecular marker of targeted therapy for the treatment of T2DM.(2)MethodsCase-control studies of ApoE polymorphism and T2DM, which were included in PubMed, Web of Science, Medline, WanFang, VIP, and CNKI databases, were selected and evaluated according to criteria of inclusion and exclusion. Eligible data were extracted and pooled, and were analyzed and assessed using R soft-ware (version 3.4.3). Random-effect models were used when heterogeneity existed in between-study, and fixed-effect models were applied otherwise.(3)ResultsA total of 59 studies that consisted of 6,872 cases with T2DM and 8,250 controls were selected. Alleles and genotypes of ApoE between cases and controls were compared. For ApoE alleles, we observed the contrast of ε4 versus ε3 allele yielding a pooled OR of 1.18 (95% CI: 1.09-1.28; P<0.001). For ApoE genotypes, compared with ε3/ε3 genotype, ε2/ε2 genotype showed a possible association with T2DM (OR=1.46; 95% CI: 1.11-1.93; P=0.007), ε3/ε4 genotype had a 1.11-fold risk of developing T2DM (OR=1.11; 95% CI: 1.01-1.22; P=0.039), and ε4/ε4 genotype had a 1.71-fold risk of developing T2DM (OR=1.71; 95% CI: 1.33-2.19; P<0.001).(4)ConclusionsThere is an association between ApoE polymorphism and T2DM: allele ε4 and genotypes (ε2/ε2, ε3/ε4, and ε4/ε4) are associated with the increased risk for the development of T2DM, and they may be risk factors for T2DM.

scholarly journals Metabolomics Signatures in Type 2 Diabetes: A Systematic Review and Integrative Analysis

2019 ◽  
Vol 105 (4) ◽  
pp. 1000-1008 ◽  
Author(s):  
Yue Sun ◽  
Hao-Yu Gao ◽  
Zhi-Yuan Fan ◽  
Yan He ◽  
Yu-Xiang Yan
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Metabolic Pathways ◽  
Meta Analysis ◽  
Random Effect ◽  
Bioinformatic Analysis ◽  
Cochrane Library ◽  
Isoleucine Leucine ◽  
Increased Risk

Abstract Objective Metabolic signatures have emerged as valuable signaling molecules in the biochemical process of type 2 diabetes (T2D). To summarize and identify metabolic biomarkers in T2D, we performed a systematic review and meta-analysis of the associations between metabolites and T2D using high-throughput metabolomics techniques. Methods We searched relevant studies from MEDLINE (PubMed), Embase, Web of Science, and Cochrane Library as well as Chinese databases (Wanfang, Vip, and CNKI) inception through 31 December 2018. Meta-analysis was conducted using STATA 14.0 under random effect. Besides, bioinformatic analysis was performed to explore molecule mechanism by MetaboAnalyst and R 3.5.2. Results Finally, 46 articles were included in this review on metabolites involved amino acids, acylcarnitines, lipids, carbohydrates, organic acids, and others. Results of meta-analysis in prospective studies indicated that isoleucine, leucine, valine, tyrosine, phenylalanine, glutamate, alanine, valerylcarnitine (C5), palmitoylcarnitine (C16), palmitic acid, and linoleic acid were associated with higher T2D risk. Conversely, serine, glutamine, and lysophosphatidylcholine C18:2 decreased risk of T2D. Arginine and glycine increased risk of T2D in the Western countries subgroup, and betaine was negatively correlated with T2D in nested case-control subgroup. In addition, slight improvements in T2D prediction beyond traditional risk factors were observed when adding these metabolites in predictive analysis. Pathway analysis identified 17 metabolic pathways may alter in the process of T2D and metabolite-related genes were also enriched in functions and pathways associated with T2D. Conclusions Several metabolites and metabolic pathways associated with T2D have been identified, which provide valuable biomarkers and novel targets for prevention and drug therapy.

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.

scholarly journals Association of leukocyte telomere length with chronic kidney disease in East Asians with type 2 diabetes: A Mendelian randomization study

2021 ◽  
Author(s):  
Resham L Gurung ◽  
Rajkumar Dorajoo ◽  
Yiamunaa M ◽  
Ling Wang ◽  
Sylvia Liu ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Telomere Length ◽  
Mendelian Randomization ◽  
Random Effect ◽  
Leukocyte Telomere Length ◽  
Increased Risk ◽  
Genetically Determined

Abstract Background Chronic kidney disease (CKD) is common among type 2 diabetes (T2D) and increases the risk of kidney failure and cardiovascular diseases. Shorter leukocyte telomere length is associated with CKD in patients with T2D. We previously reported single nucleotide polymorphisms (SNPs) associated with leukocyte telomere length in Asian population. In this study, we elucidated the association of these SNPs with CKD in patients with T2D using Mendelian randomization (MR) approach. Methods The cross-sectional association of 16 leukocyte telomere length SNPs with CKD, defined as an estimated glomerular filtration rate of less than 60 ml/min/1.73m2 was assessed among 4,768 (1,628 cases, 3,140 controls) participants in the Singapore Study of Macro-angiopathy and Micro-vascular Reactivity in Type 2 Diabetes and Diabetic Nephropathy cohorts. MR analysis was performed using the random-effect inverse-variance weighted (IVW) method, the weighted median, MR-Egger and Radial MR adjusted for age and sex-stratified by cohorts and ethnicity (Chinese and Malays), then meta-analysed. Results Genetically determined shorter leukocyte telomere length was associated with increased risk of CKD in patients with T2D (meta-IVW adjusted odds ratio = 1.51 [95% confidence interval, 1.12 - 2.12; P = 0.007; Phet= 0.547]). Similar results were obtained following sensitivity analysis. MR-Egger analysis (intercept) suggested no evidence of horizontal pleiotropy (β  =  0.010, P = 0.751). Conclusions Our findings suggest that genetically determined leukocyte telomere length is associated with CKD in patients with T2D. Further studies are warranted to elucidate the causal role of telomere length in CKD progression.

scholarly journals Is Vitamin D Deficiency Related to Increased Cancer Risk in Patients with Type 2 Diabetes Mellitus?

2021 ◽  
Vol 22 (12) ◽  
pp. 6444
Author(s):  
Anna Gabryanczyk ◽  
Sylwia Klimczak ◽  
Izabela Szymczak-Pajor ◽  
Agnieszka Śliwińska
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Vitamin D ◽  
Cancer Risk ◽  
Vitamin D Deficiency ◽  
Cancer Development ◽  
Increased Risk

There is mounting evidence that type 2 diabetes mellitus (T2DM) is related with increased risk for the development of cancer. Apart from shared common risk factors typical for both diseases, diabetes driven factors including hyperinsulinemia, insulin resistance, hyperglycemia and low grade chronic inflammation are of great importance. Recently, vitamin D deficiency was reported to be associated with the pathogenesis of numerous diseases, including T2DM and cancer. However, little is known whether vitamin D deficiency may be responsible for elevated cancer risk development in T2DM patients. Therefore, the aim of the current review is to identify the molecular mechanisms by which vitamin D deficiency may contribute to cancer development in T2DM patients. Vitamin D via alleviation of insulin resistance, hyperglycemia, oxidative stress and inflammation reduces diabetes driven cancer risk factors. Moreover, vitamin D strengthens the DNA repair process, and regulates apoptosis and autophagy of cancer cells as well as signaling pathways involved in tumorigenesis i.e., tumor growth factor β (TGFβ), insulin-like growth factor (IGF) and Wnt-β-Cathenin. It should also be underlined that many types of cancer cells present alterations in vitamin D metabolism and action as a result of Vitamin D Receptor (VDR) and CYP27B1 expression dysregulation. Although, numerous studies revealed that adequate vitamin D concentration prevents or delays T2DM and cancer development, little is known how the vitamin affects cancer risk among T2DM patients. There is a pressing need for randomized clinical trials to clarify whether vitamin D deficiency may be a factor responsible for increased risk of cancer in T2DM patients, and whether the use of the vitamin by patients with diabetes and cancer may improve cancer prognosis and metabolic control of diabetes.

scholarly journals Breakfast skipping and the risk of type 2 diabetes: a meta-analysis of observational studies

2015 ◽  
Vol 18 (16) ◽  
pp. 3013-3019 ◽  
Author(s):  
Huashan Bi ◽  
Yong Gan ◽  
Chen Yang ◽  
Yawen Chen ◽  
Xinyue Tong ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Observational Studies ◽  
Meta Analysis ◽  
Adjusted Relative Risk ◽  
China National Knowledge Infrastructure ◽  
Cross Sectional ◽  
Breakfast Skipping ◽  
Risk Estimates ◽  
Increased Risk

AbstractObjectiveBreakfast skipping has been reported to be associated with type 2 diabetes (T2D), but the results are inconsistent. No meta-analyses have applied quantitative techniques to compute summary risk estimates. The present study aimed to conduct a meta-analysis of observational studies summarizing the evidence on the association between breakfast skipping and the risk of T2D.DesignSystematic review and meta-analysis.SettingRelevant studies were identified by a search of PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI) and SINOMED up to 9 August 2014. We also reviewed reference lists from retrieved articles. We included studies that reported risk estimates (including relative risks, odds ratios and hazard ratios) with 95 % confidence intervals for the association between breakfast skipping and the risk of T2D.SubjectsEight studies involving 106 935 participants and 7419 patients with T2D were included in the meta-analysis.ResultsA pooled adjusted relative risk for the association between exposure to breakfast skipping and T2D risk was 1·21 (95 % CI 1·12, 1·31; P=0·984; I2=0·0 %) in cohort studies and the pooled OR was 1·15 (95 % CI, 1·05, 1·24; P=0·770; I2=0·0 %) in cross-sectional studies. Visual inspection of a funnel plot and Begg’s test indicated no evidence of publication bias.ConclusionsBreakfast skipping is associated with a significantly increased risk of T2D. Regular breakfast consumption is potentially important for the prevention of T2D.

scholarly journals TheType 2 Deiodinase Thr92Ala PolymorphismIs Associated with Worse Glycemic Control in Patients with Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Xiaowen Zhang ◽  
Jie Sun ◽  
Wenqing Han ◽  
Yaqiu Jiang ◽  
Shiqiao Peng ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Meta Analysis ◽  
Increased Risk ◽  
Design And Methods ◽  
Hba1c Levels

Objective. Type 2 deiodinase (Dio2) is an enzyme responsible for the conversion of T4 to T3. The Thr92Ala polymorphism has been shown related to an increased risk for developing type 2 diabetes mellitus (T2DM). The aim of this study is to assess the association between this polymorphism and glycemic control in T2DM patients as marked by the HbA1C levels.Design and Methods.The terms “rs225014,” “thr92ala,” “T92A,” or “dio2 a/g” were used to search for eligible studies in the PubMed, Embase, and Cochrane databases and Google Scholar. A systematic review and meta-analysis of studies including both polymorphism testing and glycated hemoglobin (HbA1C) assays were performed.Results. Four studies were selected, totaling 2190 subjects. The pooled mean difference of the studies was 0.48% (95% CI, 0.18–0.77%), indicating that type 2 diabetics homozygous for the Dio2 Thr92Ala polymorphism had higher HbA1C levels.Conclusions. Homozygosity for the Dio2 Thr92Ala polymorphism is associated with higher HbA1C levels in T2DM patients. To confirm this conclusion, more studies of larger populations are needed.

Cardiovascular events in patients with type 2 diabetes

2002 ◽  
Vol 2 (1_suppl) ◽  
pp. S4-S8
Author(s):  
Erland Erdmann
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Risk Factor ◽  
Adverse Effects ◽  
Cardiovascular Events ◽  
Left Ventricular ◽  
Diabetic Patients ◽  
Increased Risk

Diabetes is a common risk factor for cardiovascular disease. Coronary heart disease and left ventricular dysfunction are more common in diabetic patients than in non-diabetic patients, and diabetic patients benefit less from revascularisation procedures. This increased risk can only partly be explained by the adverse effects of diabetes on established risk factors; hence, a substantial part of the excess risk must be attributable to direct effects of hyperglycaemia and diabetes. In type 2 diabetes, hyperinsulinaemia, insulin resistance and hyperglycaemia have a number of potential adverse effects, including effects on endothelial function and coagulation. Risk factor modification has been shown to reduce the occurrence of cardiovascular events in patients with diabetes; indeed, diabetic patients appear to benefit more in absolute terms than non-diabetic patients. There is thus a strong case for intensive treatment of risk factors, including insulin resistance and hyperglycaemia, in patients with type 2 diabetes.

scholarly journals The association between insulin therapy and depression in patients with type 2 diabetes mellitus: a meta-analysis

BMJ Open ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. e020062 ◽  
Author(s):  
Xiaosu Bai ◽  
Zhiming Liu ◽  
Zhisen Li ◽  
Dewen Yan
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Insulin Therapy ◽  
Depressive Disorders ◽  
Meta Analysis ◽  
Epidemiological Studies ◽  
Cochrane Library ◽  
Increased Risk

ObjectivesSeveral patients with type 2 diabetes mellitus (T2DM) have depressive disorders. Whether insulin treatment was associated with increased risk of depression remains controversial. We performed a meta-analysis to evaluate the association of insulin therapy and depression.DesignA meta-analysis.MethodsWe conducted a systematic search of PubMed, PsycINFO, Embase and the Cochrane Library from their inception to April 2016. Epidemiological studies comparing the prevalence of depression between insulin users and non-insulin users were included. A random-effects model was used for meta-analysis. The adjusted and crude data were analysed.ResultsTwenty-eight studies were included. Of these, 12 studies presented with adjusted ORs. Insulin therapy was significantly associated with increased risk of depression (OR=1.41, 95% CI 1.13 to 1.76, p=0.003). Twenty-four studies provided crude data. Insulin therapy was also associated with an odds for developing depression (OR=1.59, 95% CI 1.41 to 1.80, p<0.001). When comparing insulin therapy with oral antidiabetic drugs, significant association was observed for adjusted (OR=1.42, 95% CI 1.08 to 1.86, p=0.008) and crude (OR=1.61, 95% CI 1.35 to 1.93, p<0.001) data.ConclusionsOur meta-analysis confirmed that patients on insulin therapy were significantly associated with the risk of depressive symptoms.

scholarly journals Prevalence and Risk Factors of Depression in Chinese Patients With Type 2 Diabetes Mellitus: a Protocol of Systematic Review and Meta-analysis

2020 ◽  
Author(s):  
Xiaobo LIU ◽  
Chao Dong ◽  
Hong Jiang ◽  
Dongling Zhong ◽  
Yuxi Li ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Early Detection ◽  
Meta Analysis ◽  
Prevalence Of Depression ◽  
Associated Risk Factors

Abstract Background: The prevalence of type 2 diabetes mellitus (T2DM) is growing in China. Both physical and psychological complications occur along with the development of T2DM. The patients with depression account for a significant proportion of T2DM. Depressive symptoms interfere with blood glucose management, leading to poorer treatment outcome and even relate to the occurrence of other serious complications of T2DM population. Among these T2DM patients with depression, early detection and treatment is essential and effective. Knowledge of the current prevalence of depression in T2DM patients as well as associated risk factors may be meaningful for healthcare planning. Therefore, we plan to conduct a systematic review and meta-analysis to evaluate the Chinese prevalence of depression in T2DM and explore associated risk factors.Methods: We will search literatures recorded in MEDLINE/PubMed, EMBASE, the Cochrane Library, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and Wanfang database (Wanfang Data). The grey literatures and reference list will be manually searched. We will include population-based, cross-sectional surveys that investigated the Chinese prevalence of depression in T2DM or/and researched the possible risk factors. Two reviewers will screen studies, extract data and evaluate quality independently. We will assess inter-rater agreement between reviewers for study inclusion, data extraction, and study quality assessment using Kappa statistics. The primary outcome will be the pooled Chinese prevalence of depression in T2DM patients. The secondary outcome will contain the potential risk factors for depression in patients with T2DM. R software (version 3.6.1) and STATA software (version 12) will be used for data analysis.Discussion: This systematic review will provide comprehensive evidence of the Chinese prevalence and risk factors of depression in patients with T2DM. we expect to provide evidence basis for healthcare practitioners and policy makers to pay attention to the mental health of T2DM. Our data will highlight the need and importance of early detection and intervention for depression in patients with T2DM. Systematic review registration: PROSPERO CRD42020182979.

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