Assessment of the association between GSTM1 null genotype and risk of type 2 diabetes

Many studies have investigated the association between Glutathione S-Transferase M1 (GSTM1) null genotype and risk of diabetes mellitus, but the impact of GSTM1 null genotype on diabetes mellitus is unclear owing to the obvious inconsistence among those studies. This study aimed to quantify the strength of association between GSTM1 null genotype and risk of diabetes mellitus. We searched the PubMed, Embase and Wangfang databases for studies relating the association between GSTM1 null genotype and risk of diabetes mellitus. We estimated summary odds ratio (OR) with their 95 % confidence interval (95 % CI) to assess the association. Subgroup analyses were performed by type of diabetes and ethnicity. 10 case–control studies with 7, 054 subjects were included into this meta-analysis. Meta-analysis of total 10 studies showed GSTM1 null genotype was associated increased risk of diabetes mellitus (OR = 1.59, 95 % CI 1.14–2.22, P = 0.007). Subgroup analyses by type of diabetes mellitus suggested GSTM1 null genotype was associated increased risk of type 2 diabetes (OR = 1.90, 95 % CI 1.37–2.64, P < 0.001), but was not associated with risk of type 1 diabetes (OR = 0.84, 95 % CI 0.66–1.07, P = 0.153). Subgroup analysis by ethnicity further identified the obvious association between GSTM1 null genotype and increased risk of type 2 diabetes. The cumulative meta-analyses showed a trend of obvious association between GSTM1 null genotype and risk of type 2 diabetes as information accumulated. No evidence of publication bias was observed. Thus, evidence from current meta-analysis suggests an association between GSTM1 null genotype and risk of type 2 diabetes.     

Association between Glu504Lys Polymorphism of ALDH2 Gene and Cancer Risk: A Meta-Analysis

BackgroundThe association of the aldehyde dehydrogenases-2 (ALDH2) Glu504Lys polymorphism (also named Glu487Lys, or rs671) and cancers has been investigated. This meta-analysis aims to comprehensively assess the influence of this polymorphism on the overall cancer risk.MethodsEligible publications were retrieved according to inclusion/exclusion criteria and the data were analyzed using the Review Manager software (V5.2).ResultsA meta-analysis based on 51 case-control studies consisting of 16774 cases and 32060 controls was performed to evaluate the association between the ALDH2 Glu504Lys polymorphism and cancer risk. The comparison of genotypes Lys+ (Lys/Lys and Lys/Glu) with Glu/Glu yielded a significant 20% increased cancer risk (OR = 1.20, 95%CI: 1.03–1.39, P = 0.02, I² = 92%). Subgroup analysis by cancer type indicated a significantly increased UADT cancer risk (OR = 1.39, 95%CI: 1.11–1.73, P = 0.004, I² = 94%) in individuals with the Lys+ genotypes. Subgroup analysis by country indicated that individuals from Japan with the Lys+ genotypes had a significant 38% increased cancer risk (OR = 1.38, 95%CI: 1.12–1.71, P = 0.003, I² = 93%).ConclusionsOur results indicated that the ALDH2 Glu504Lys polymorphism is a susceptible loci associated with overall cancers, especially esophageal cancer and among Japanese population.     

Passive Smoking and Risk of Type 2 Diabetes: A Meta-Analysis of Prospective Cohort Studies

Backgrounds/Objective

The prevalence of diabetes is increasing rapidly all over the world. However, studies on passive smoking and type 2 diabetes have not been systematically assessed. Therefore, we conducted a meta-analysis to explore whether an association exists between passive smoking and risk of type 2 diabetes.

Methods

We searched PubMed, EMBASE, Cochrane library and Web of Science up to April 9^th, 2013, to identify prospective cohort studies that assessed passive smoking and risk of type 2 diabetes. The fixed-effect model was used to calculate the overall relative risk (RR).

Result

4 prospective cohort studies were included for analysis, with a total of 112,351 participants involved. The pooled RR was 1.28 (95% confidence interval (CI) 1.14 to 1.44) comparing those who were exposed to passive smoking with those who were not. Subgroup, sensitivity analysis and publication bias test suggested the overall result of this analysis was robust.

Conclusions

Passive smoking is associated with a significantly increased risk of type 2 diabetes. Further well-designed studies are warranted to confirm this association.     

Shift Work and the Relationship with Metabolic Syndrome in Chinese Aged Workers

Background

Shift work is indicated to be associated with adverse metabolic disorders. However, potential effects of shift work on metabolic syndrome (MetS) and its components have not been well established.

Methods

In total, 26,382 workers from Dongfeng-Tongji Cohort were included in this study. Information on shift work history was gathered through questionnaires and metabolic traits were measured. Logistic regression models were used to calculate the odds ratio (OR) and 95% confidence interval (CI) for long-term shift work related with MetS and each component, respectively. Further stratification analysis was performed to detect the differences on MetS between female and male shift workers.

Results

Long-term shift work was associated with MetS without adjusting for any confounders. Compared with the group of non-shift work, the multivariate-adjusted ORs (95%CI) of MetS associated with 1–10, 11−20, and ≥20y of shift work were 1.05 (0.95−1.16), 1.14 (1.03−1.26), 1.16 (1.01−1.31), respectively. In female workers, we found a dose-response relationship that every 10 years increase in shift work was associated with a 10% (95% CI: 1%−20%) elevated OR of MetS, while no significant dose-response trend was found among male workers. Furthermore, shift work duration was significantly associated with ORs of high blood pressure (1.07, 1.01−1.13), long waist circumference (1.10, 1.01−1.20) and high glucose levels (1.09, 1.04−1.15). No significant association was observed between shift work and low HDL cholesterol) and raised triglyceride levels.

Conclusions

Long-term shift work was associated with metabolic syndrome and the association might differ by gender in retired workers. Applicable intervention strategies are needed for prevention of metabolic disorders for shift workers.     

Energy intake of shift workers compared to fixed day workers: A systematic review and meta-analysis

Shift work is an established risk factor for a number of chronic conditions associated with excess energy intake including obesity, cardiovascular disease and type 2 diabetes. This systematic review investigated whether the 24 h energy intake of shift workers differs to that of fixed day workers. Included articles compared energy intake of shift workers (shift included midnight) with fixed day workers. There were 10 367 day workers and 4726 shift workers from 12 studies included in the qualitative analysis and meta-analyses. The standardised mean difference (95% CI) in energy intake between shift and day workers was ?0.04 (?0.11, 0.03); I² = 54%. Qualitative results on macronutrient intakes were conflicting. Reported energy intakes were not different between day workers and shift workers, suggesting that other factors such as circadian misalignment, meal timing, food choice and diurnal variation of energy metabolism at night may be responsible for the increased rates of obesity observed in shift workers. Guidance on health and well-being is required for this at-risk population group.     

Smoking among shift workers: More than a confounding factor

In studies on the cardiovascular disease risk among shift workers, smoking is considered to be a confounding factor. In a study of 239 shift and 157 daytime workers, it was found that shift work was prospectively related to increased cigarette consumption, indicating that smoking might be in the causative pathway; however, the number of study subjects was too low to warrant sound conclusions. Therefore, data from the Maastricht Cohort study were used to investigate the longitudinal relation between smoking and shift work in a much larger population. In this study, a total of 12,140 employees were followed for two years by means of self-administered questionnaires. The authors compared workers who normally worked during daytime hours only (74%) with those who worked other than day shifts (26%). Logistic regression analyses were performed, adjusting for demographic factors of age, gender, and educational level to evaluate the risk of starting to smoke (n=25) in the group of non-smoking workers and the risk of quitting (n=318) in the group of smoking workers. Logistic regression analysis showed a significant association between shift work and taking up smoking during the two-year follow-up (odds ratio: 1.46, p=0.03). The risk to stop smoking was somewhat lower in shift workers (odds ratio: 0.91) but not statistically significant (p=0.5). To conclude, this study showed that, independent of educational level, shift workers are more prone to start smoking. This finding might have important implications for studies on the health effects of shift workers and for possible interventions aimed at the reduction of the excess health risk among shift workers.     

Smoking among Shift Workers: More Than a Confounding Factor

In studies on the cardiovascular disease risk among shift workers, smoking is considered to be a confounding factor. In a study of 239 shift and 157 daytime workers, it was found that shift work was prospectively related to increased cigarette consumption, indicating that smoking might be in the causative pathway; however, the number of study subjects was too low to warrant sound conclusions. Therefore, data from the Maastricht Cohort study were used to investigate the longitudinal relation between smoking and shift work in a much larger population. In this study, a total of 12,140 employees were followed for two years by means of self‐administered questionnaires. The authors compared workers who normally worked during daytime hours only (74%) with those who worked other than day shifts (26%). Logistic regression analyses were performed, adjusting for demographic factors of age, gender, and educational level to evaluate the risk of starting to smoke (n=25) in the group of non‐smoking workers and the risk of quitting (n=318) in the group of smoking workers. Logistic regression analysis showed a significant association between shift work and taking up smoking during the two‐year follow‐up (odds ratio: 1.46, p=0.03). The risk to stop smoking was somewhat lower in shift workers (odds ratio: 0.91) but not statistically significant (p=0.5). To conclude, this study showed that, independent of educational level, shift workers are more prone to start smoking. This finding might have important implications for studies on the health effects of shift workers and for possible interventions aimed at the reduction of the excess health risk among shift workers.     

Hypertension and Risk of Cataract: A Meta-Analysis

Background

Cataract is the major cause of blindness across the world. Many epidemiologic studies indicated that hypertension might play an important role in the development of cataract, while others not. We therefore conducted this meta-analysis to determine the relationship between risk of cataract and hypertension.

Methods

Retrieved studies on the association of hypertension with cataract risk were collected from PubMed, Web of Science and the Cochrane Library during June 2014 and were included into the final analysis according to the definite inclusion criteria. Odds ratio (OR) or risk ratio (RR) were pooled with 95% confidence interval (CI) to evaluate the relationship between hypertension and cataract risk. Subgroup analyses were carried out on the basis of cataract type, race and whether studies were adjusted for main components of metabolic syndrome (MS).

Results

The final meta-analysis included 25 studies (9 cohort, 5 case-control and 11 cross-sectional) from 23 articles. The pooled results showed that cataract risk in populations with hypertension significantly increased among cohort studies (RR 1.08; 95% CI: 1.05–1.12) and case-control or cross-sectional studies (OR 1.28; 95% CI: 1.12–1.45). This association was proved to be true among both Mongolians and Caucasians, and the significance was not altered by the adjustment of main components of MS. Subgroup analysis on cataract types indicated that an increased incidence of posterior subcapsular cataract (PSC) resulted among cohort studies (RR 1.22; 95% CI: 1.03–1.46) and cross-sectional/case-control studies (OR 1.23; 95% CI: 1.09–1.39). No association of hypertension with risk of nuclear cataract was found.

Conclusions

The present meta-analysis suggests that hypertension increases the risk of cataract, especially PSC. Further efforts should be made to explore the potential biological mechanisms.     

Shift work and mortality

Despite results linking shift work with ill health, only a few studies have addressed its relation with mortality. The purpose of the present study was to examine the hypothesis that shift work is a predictor of mortality. The study involved a sample of 22,411 individuals of the Swedish population. Data were obtained through annual phone interviews done between 1979 and 2000. Cox regression analysis was used to assess the association between shift work/day work as the independent variable and death/survival during the subsequent years as the dependent variable. Separate analyses were carried out for female and male white- and blue-collar workers, respectively. The results were adjusted for age, stress, physical work load, disease at the outset of the study, and smoking. Mortality was significantly increased for female white-collar workers, with a Hazard Ratio of 2.61 and a 95% confidence interval of 1.26-5.41. No other significant effects were found. It is concluded that blue-collar shift work is not related to mortality, but that risk of death is increased for women white-collar shift workers compared to women white-collar day workers.     

Rotating night shift work and risk of type 2 diabetes: two prospective cohort studies in women

Background

Rotating night shift work disrupts circadian rhythms and has been associated with obesity, metabolic syndrome, and glucose dysregulation. However, its association with type 2 diabetes remains unclear. Therefore, we aimed to evaluate this association in two cohorts of US women.

Methods and Findings

We followed 69,269 women aged 42–67 in Nurses'' Health Study I (NHS I, 1988–2008), and 107,915 women aged 25–42 in NHS II (1989–2007) without diabetes, cardiovascular disease, and cancer at baseline. Participants were asked how long they had worked rotating night shifts (defined as at least three nights/month in addition to days and evenings in that month) at baseline. This information was updated every 2–4 years in NHS II. Self-reported type 2 diabetes was confirmed by a validated supplementary questionnaire. We documented 6,165 (NHS I) and 3,961 (NHS II) incident type 2 diabetes cases during the 18–20 years of follow-up. In the Cox proportional models adjusted for diabetes risk factors, duration of shift work was monotonically associated with an increased risk of type 2 diabetes in both cohorts. Compared with women who reported no shift work, the pooled hazard ratios (95% confidence intervals) for participants with 1–2, 3–9, 10–19, and ≥20 years of shift work were 1.05 (1.00–1.11), 1.20 (1.14–1.26), 1.40 (1.30–1.51), and 1.58 (1.43–1.74, p-value for trend <0.001), respectively. Further adjustment for updated body mass index attenuated the association, and the pooled hazard ratios were 1.03 (0.98–1.08), 1.06 (1.01–1.11), 1.10 (1.02–1.18), and 1.24 (1.13–1.37, p-value for trend <0.001).

Conclusions

Our results suggest that an extended period of rotating night shift work is associated with a modestly increased risk of type 2 diabetes in women, which appears to be partly mediated through body weight. Proper screening and intervention strategies in rotating night shift workers are needed for prevention of diabetes. Please see later in the article for the Editors'' Summary     

Diabetes mellitus y riesgo de fractura de cadera. Revisión sistemática

Background and objectivesIt has been reported that the risk of fracture is increased in patients with diabetes mellitus (DM). The aim of this study was to investigate the possible relationship between DM and hip fracture, as well as any associated risk factors, by means of a systemic review of the literature.MethodsPubMed and SCOPUS databases were used to search for relevant studies published from January 2001 to August 2018. Retrospective and prospective cohort studies were selected in which the estimated risk of hip fracture was demonstrated by comparing groups of diabetic patients with non-diabetics. A search was also made for risk factors independent from the association between DM and hip fracture.ResultsA total of 27 articles that fulfilled the inclusion criteria were included. A clear association was observed in diabetic patients (women and men) compared to non-diabetics patients. Among the risk factors, the most important ones were the fact that diabetes was type 1, probably associated with greater risk to a longer duration of DM, and being a female.ConclusionsThere is an increased risk of hip fracture in patients diagnosed with DM. This association is more significant in diabetes type 1 and women.     

中国汉族人群ENPP1基因K121Q多态与2型糖尿病的关联及Meta分析

多个欧洲白人的Meta分析表明核苷酸焦磷酸酶1(Ectonucleotide pyrophosphatase/phosphodiesterase 1, ENPP1)基因K121Q多态与2型糖尿病相关联, 但在日本人、韩国人和中国台湾人的研究中没有发现相关性, 而在中国大陆人群中二者的关联研究结果不尽一致。文章调查了湖北地区539例2型糖尿病患者和404名正常人ENPP1基因K121Q多态性。基因型及等位基因频率在病例组和对照组间没有显著差异(P＞0.05), 但经性别、年龄和体重指数调整后的Logistic回归分析揭示XQ基因型与2型糖尿病显著相关(OR=1.5, 95%CI: 1.39~1.62, P<0.001)。对性别进行的亚组分析显示, 女性病例组Q等位基因和XQ基因型的频率显著高于对照组(Q: 12.4% vs. 6.1%, P=0.001; XQ: 23.7% vs. 11.7%, P=0.001)。结果表明ENPP1基因K121Q多态与湖北汉族人2型糖尿病的关联存在性别差异, 在女性中更明显。文章是对中国大陆人群进行的第一个Meta分析, 结果显示Q等位基因增加2型糖尿病的发病风险(OR=1.42, P=0.042)。     

Shift work and diabetes – A systematic review

Diabetes mellitus is a chronic disease, which has an increasing trend all over the world. Type 2 diabetes constitutes 90% of all diabetes. It is associated with weight gain and insulin resistance. Research during recent years has suggested that shift work could be a risk factor of type 2 diabetes. Since shift work is becoming more common, it could contribute to the increasing trend of diabetes. In this systematic review, we have studied the potential association between shift work and type 2 diabetes. We have also reviewed studies on control of diabetes in relation to shift work.     

Adiponectin,TNF-α and inflammatory cytokines and risk of type 2 diabetes: A systematic review and meta-analysis

AimsThere has been growing evidence that adiponectin, tumor necrosis factor-α (TNF-α) and inflammatory cytokines involved in insulin resistance and may be attractive candidates for assessing risk of the incident type 2 diabetes (T2DM). A systematic review and meta-analysis of prospective studies was conducted to assess the associations of levels of serum adiponectin, TNF-α and inflammatory markers (Interleukin-1 beta (IL-1β), Interleukin-6 (IL-6), Interleukin-18 (IL-18), C-reactive protein (CRP)) with risk of T2DM.Materials/methodsWe searched PubMed, ISI Web of Knowledge, EMBASE, and Cochrane Library databases up until February 1, 2016 for eligible studies which were matched to search subjects. Either fixed-effects or random-effects models were used to estimate the summary risk incorporated between study variations.Results19 studies comprising a total of 39,136 participants and 7924 cases were included in the meta-analysis. Our findings showed that an obvious association of elevated CRP levels with T2DM risk (relative risk [RR] 1.48 [95% CI 1.26–1.71]), with the absence of publication bias. For IL-6, the meta-analysis involved 16 cohorts with a total of 24,929 participants and 4751 cases. Using data from all trials, a strong positive correlation (1.32 [1.14, 1.51]) was observed between basal plasma IL-6 and T2DM, whereas relatively lower relation between TNF-α (1.16 [0.87, 1.45]), IL-18 (1.45 [1.16, 1.73]), IL-1β (0.87, [0.59, 1.15]) and independently increased risk to occurrence of T2DM. Conversely, we also found that the level of adiponectin decreased significantly in patients with T2DM. Sensitivity analyses further supported the associations.ConclusionsThis meta-analysis indicates that T2DM risk as whole was strongly associated with elevated levels of inflammatory cytokines (IL-1β, IL-6, IL-18, CRP), TNF-α and low levels of adiponectin. Despite an overall detectable association in the meta-analysis, considerable heterogeneity existed between studies. Further work is needed, it seems clear that a complex interplay of inflammation and the development of DM. Moreover, these biomarkers are predictors of T2DM subjects and should take more attention to measure levels of these as well as to target therapy/interventions.     

Effects of Thyroid Dysfunction and the Thyroid-Stimulating Hormone Levels on the Risk of Atrial Fibrillation: A Systematic Review and Dose-Response Meta-Analysis from Cohort Studies

ObjectiveTo explore the relationship between thyroid dysfunction, thyroid-stimulating hormone (TSH) levels, and risks of atrial fibrillation (AF) in studies and conduct a dose-response meta-analysis on the correlation between the TSH levels and risk of AF.MethodsThirteen studies from 5 databases with 649 293 subjects (mean age, 65.1 years) were included. The dose-response meta-analysis was conducted by comparing the risk ratios (RRs) and 95% confidence intervals (CIs) for incident AF associated with different levels of TSH (vs TSH level of 0 mU/L) across studies. Data were collected until October 25, 2021.ResultsSubclinical hyperthyroidism, subclinical hypothyroidism, and clinical hyperthyroidism were associated with an increased risk of AF (RR, 1.70; 95% CI, 1.11-2.62; RR, 1.23; 95% CI, 1.05-1.44; and RR, 2.35; 95% CI, 1.07-5.16, respectively), whereas clinical hypothyroidism was not associated with the significantly increased risk of AF (RR, 1.20; 95% CI, 0.72-1.99). A nonlinear relationship was observed in 2 models (crude model, P_nonlinear < .001; adjusted model, P_nonlinear = .0391) between the TSH levels and risks of AF.ConclusionsOur study indicated that subclinical hyperthyroidism, subclinical hypothyroidism, clinical hyperthyroidism were associated with the risk of AF, and the results for the TSH levels and risk of AF were mixed, which showed a U-shaped relationship.     

Periodontal Disease and Risk of Head and Neck Cancer: A Meta-Analysis of Observational Studies

Background

Many epidemiological studies have found a positive association of periodontal disease (PD) with risk of head and neck cancer (HNC), but the findings are varied or even contradictory. In this work, we performed a meta-analysis to ascertain the relationship between PD and HNC risk.

Methods

We searched the PubMed, Embase, and Cochrane Library databases for relevant observational studies on the association between PD and HNC risk published up to March 23, 2013. Data from the included studies were extracted and analyzed independently by two authors. Meta-analysis was performed using RevMan 5.2 software.

Results

We obtained seven observational studies involving two cohort and six case-control studies. Random-effects meta-analysis indicated a significant association between PD and HNC risk (odds ratio = 2.63, 95% confidence interval = 1.1.68 - 4.14; p < 0.001), with sensitivity analysis showing that the result was robust. Subgroup analyses based on adjustment for covariates, study design, PD assessment, tumor site, and ethnicity also revealed a significant association.

Conclusions

Based on currently evidence, PD is probably a significant and independent risk factor of HNC.     

Association of RAGE gene polymorphisms with type 2 diabetes mellitus,diabetic retinopathy and diabetic nephropathy

A meta-analysis was performed to assess the associations of the receptor for advanced glycation end products (RAGE) gene polymorphisms [Gly82Ser (rs2070600), 1704 G/T (rs184003), 429 T/C (rs1800625)] with type 2 diabetes mellitus (T2DM), diabetic retinopathy (DR) and diabetic nephropathy (DN). A comprehensive research was conducted to identify all case-control or cohort studies. The fixed or random effect pooled measure was selected based on the homogeneity test among studies that was evaluated with I². Meta-regression was used to explore the potential sources of between-study heterogeneity. Publication bias was estimated using Peters test. Twenty-nine articles were included. Overall, after excluding articles deviating from Hardy–Weinberg equilibrium in controls and sensitive analysis, no significant association was found between RAGE gene polymorphisms (Gly82Ser, 1704 G/T, 429 T/C) and any of T2DM, DR and DN risk, respectively. Subgroup analysis stratified by ethnicity (Asian and Caucasian) also found no significant association between the above-mentioned three polymorphisms and T2DM risk, respectively. This meta-analysis suggested that there might be no association of RAGE gene polymorphisms (Gly82Ser, 1704 G/T, 429 T/C) with T2DM, DR and DN risk.     

Obesity and Risk of Bladder Cancer: A Dose-Response Meta-Analysis of 15 Cohort Studies

Background

Epidemiological studies have reported inconsistent association between obesity and risk of bladder cancer, and the dose-response relationship between them has not been clearly defined.

Methods

We carried out a meta-analysis to summarize available evidence from epidemiological studies on this point. Relevant articles were identified by searching the PubMed and Web of Science databases through September 30, 2014. We pooled the relative risks from individual studies using random-effect model, and the dose—response relationship was estimated by using restricted cubic spline model.

Results

Fifteen cohort studies with 38,072 bladder cancer cases among 14,201,500 participants were included. Compared to normal weight, the pooled relative risks and corresponding 95% confidence intervals of bladder cancer were 1.07(1.01-1.14) and 1.10(1.06-1.14) for preobese and obesity, with moderate (I² = 37.6%, P = 0.029) and low (I² = 15.5%, P = 0.241) heterogeneities between studies, respectively. In a dose-response meta-analysis, body mass index (BMI) was associated with bladder cancer risk in a linear fashion (P _{non-linearity} = 0.467) and the risk increased by 4.2% for each 5 kg/m² increase. No significant publication bias was found (P = 0.912 for Begg’s test, P = 0.712 for Egger’s test).

Conclusions

Findings from this dose-response meta-analysis suggest obesity is associated with linear-increased risk of bladder cancer.     

Chronic metformin intake and gastric cancer: A pooled analysis within the Stomach cancer Pooling (StoP) Project

IntroductionThe association between chronic use of metformin and risk of gastric cancer (GC) has been investigated with contradicting results. We aimed to study the association between chronic use of metformin and GC by using data from the Stomach cancer Pooling (StoP) Project, an epidemiological consortium of case-control studies on GC.MethodsData from three studies of the StoP Project with available information on metformin intake were analyzed.Multivariable logistic regression models were used to estimate study-specific odds ratios (ORs) and 95% confidence intervals (CIs) for the association between chronic use of metformin and GC risk. Analyses were adjusted for sex, age, socioeconomic status, body mass index, smoking status, alcohol drinking status, and history of diabetes. Study-specific ORs and 95% CIs were then pooled with a random-effects model.The dose-response relationship between the duration of metformin intake and GC was assessed with a one-stage logistic model, and the duration of intake was modelled using second-order fractional polynomials.ResultsThe OR of GC in metformin users versus non-users was 1.01 (95% CI=0.61, 1.67). The association between metformin and GC did not change among different strata of study participants’ characteristics or when restricting the analyses to those with a history of diabetes.The dose-response analysis showed a slightly reducing trend in the OR of GC and a borderline significant association with increasing duration of metformin intake.ConclusionsThe results of our study do not clearly support an association between chronic use of metformin and GC, warranting further research.     

Vitamin D levels and risk of type 1 diabetes: A Mendelian randomization study

BackgroundVitamin D deficiency has been associated with type 1 diabetes in observational studies, but evidence from randomized controlled trials (RCTs) is lacking. The aim of this study was to test whether genetically decreased vitamin D levels are causally associated with type 1 diabetes using Mendelian randomization (MR).Methods and findingsFor our two-sample MR study, we selected as instruments single nucleotide polymorphisms (SNPs) that are strongly associated with 25-hydroxyvitamin D (25OHD) levels in a large vitamin D genome-wide association study (GWAS) on 443,734 Europeans and obtained their corresponding effect estimates on type 1 diabetes risk from a large meta-analysis of 12 type 1 diabetes GWAS studies (Ntot = 24,063, 9,358 cases, and 15,705 controls). In addition to the main analysis using inverse variance weighted MR, we applied 3 additional methods to control for pleiotropy (MR-Egger, weighted median, and mode-based estimate) and compared the respective MR estimates. We also undertook sensitivity analyses excluding SNPs with potential pleiotropic effects. We identified 69 lead independent common SNPs to be genome-wide significant for 25OHD, explaining 3.1% of the variance in 25OHD levels. MR analyses suggested that a 1 standard deviation (SD) decrease in standardized natural log-transformed 25OHD (corresponding to a 29-nmol/l change in 25OHD levels in vitamin D–insufficient individuals) was not associated with an increase in type 1 diabetes risk (inverse-variance weighted (IVW) MR odds ratio (OR) = 1.09, 95% CI: 0.86 to 1.40, p = 0.48). We obtained similar results using the 3 pleiotropy robust MR methods and in sensitivity analyses excluding SNPs associated with serum lipid levels, body composition, blood traits, and type 2 diabetes. Our findings indicate that decreased vitamin D levels did not have a substantial impact on risk of type 1 diabetes in the populations studied. Study limitations include an inability to exclude the existence of smaller associations and a lack of evidence from non-European populations.ConclusionsOur findings suggest that 25OHD levels are unlikely to have a large effect on risk of type 1 diabetes, but larger MR studies or RCTs are needed to investigate small effects.

Despoina Manousaki and co-workers investigate vitamin D levels and risk of type I diabetes.