1.
The genetic polymorphisms in vitamin D receptor and the risk of type 2 diabetes mellitus: an updated meta-analysis.
Yu, F, Cui, LL, Li, X, Wang, CJ, Ba, Y, Wang, L, Li, J, Li, C, Dai, LP, Li, WJ
Asia Pacific journal of clinical nutrition. 2016;(3):614-24
Abstract
BACKGROUND AND OBJECTIVES Vitamin D receptor (VDR) genetic polymorphisms are considered to be associated with type 2 diabetes mellitus (T2DM), but this is inconclusive. The aim of this study is to quantify the association between polymorphisms of BsmI and FokI in the VDR gene and T2DM risk through literature review. METHODS AND STUDY DESIGN Original articles published from 1999 to June 2014 were discovered through PubMed, ISI Web of Science, China National Knowledge Infrastructure, Chinese Wanfang Database, and the Chinese Biomedical Literature Database. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated with software STATA version 12.0. RESULTS Twenty-three articles containing 30 case-control studies were included. The association between the BsmI polymorphism and T2DM was weak in two genetic models (Bb vs bb and BB+Bb vs bb). The subgroup analysis showed that this association was only found in the studies with a small sample size (<200). A strong association between FokI polymorphism and T2DM indicated that this gene polymorphism was possibly a risk factor for T2DM (ff vs FF: OR=1.57, 95% CI: 1.28-1.93, p<0.001; Ff vs FF: OR=1.54, 95% CI: 1.31-1.81, p<0.001; ff+Ff vs FF: OR=1.57, 95% CI: 1.35-1.83, p<0.001), especially in Chinese populations. CONCLUSION More reliable conclusions about associations between VDR genetic polymorphisms and T2DM will depend on studies with larger sample size and by ethnicity.
2.
An Overview of Plant Phenolic Compounds and Their Importance in Human Nutrition and Management of Type 2 Diabetes.
Lin, D, Xiao, M, Zhao, J, Li, Z, Xing, B, Li, X, Kong, M, Li, L, Zhang, Q, Liu, Y, et al
Molecules (Basel, Switzerland). 2016;(10)
Abstract
In this paper, the biosynthesis process of phenolic compounds in plants is summarized, which include the shikimate, pentose phosphate and phenylpropanoid pathways. Plant phenolic compounds can act as antioxidants, structural polymers (lignin), attractants (flavonoids and carotenoids), UV screens (flavonoids), signal compounds (salicylic acid, flavonoids) and defense response chemicals (tannins, phytoalexins). From a human physiological standpoint, phenolic compounds are vital in defense responses, such as anti-aging, anti-inflammatory, antioxidant and anti-proliferative activities. Therefore, it is beneficial to eat such plant foods that have a high antioxidant compound content, which will cut down the incidence of certain chronic diseases, for instance diabetes, cancers and cardiovascular diseases, through the management of oxidative stress. Furthermore, berries and other fruits with low-amylase and high-glucosidase inhibitory activities could be thought of as candidate food items in the control of the early stages of hyperglycemia associated with type 2 diabetes.
3.
Association between heme oxygenase-1 gene promoter polymorphisms and type 2 diabetes mellitus: a HuGE review and meta-analysis.
Bao, W, Song, F, Li, X, Rong, S, Yang, W, Wang, D, Xu, J, Fu, J, Zhao, Y, Liu, L
American journal of epidemiology. 2010;(6):631-6
Abstract
Several studies have recently focused on the association between heme oxygenase-1 (HMOX1) gene promoter polymorphisms and susceptibility to type 2 diabetes mellitus; however, results have been conflicting. This systematic Human Genome Epidemiology review and meta-analysis was undertaken to integrate previous findings and summarize the effect size of the association of HMOX1 gene promoter polymorphisms with susceptibility to type 2 diabetes. The authors retrieved all studies matched to search terms from the PubMed/MEDLINE, EMBASE, and ISI Web of Science databases that had been published through December 31, 2009. The articles were then checked independently by 2 investigators according to the eligibility and exclusion criteria. For all alleles and genotypes, odds ratios were pooled using either fixed-effects or random-effects models. An increased odds ratio for type 2 diabetes was observed in persons with the (GT)(n) L (long) allele as compared with those with the (GT)(n) S (short) allele (odds ratio = 1.12, 95% confidence interval: 1.02, 1.24; P = 0.02). Furthermore, the diabetes odds ratio for persons with the LL genotype, versus those with the SS genotype, was significantly increased (odds ratio = 1.25, 95% confidence interval: 1.04, 1.50; P = 0.02). Persons carrying longer (GT)(n) repeats in the HMOX1 gene promoter may have a higher risk of type 2 diabetes.