TGF-beta1 gene polymorphism in association with diabetic retinopathy susceptibility: a systematic review and meta-analysis

• Published in: PloS one Vol. 9; no. 4; p. e94160
• Main Authors: Liu, Lei, Jiao, Jinghua, Wang, Yu, Wu, Jingyang, Huang, Desheng, Teng, Weiping, Chen, Lei
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 01.04.2014; Public Library of Science (PLoS)
• Subjects: Analysis; Angiogenesis; Bias; Biology and Life Sciences; Bone morphogenetic proteins; Cell proliferation; Clinical trials; Confidence intervals; Criteria; Development and progression; Diabetes; Diabetes mellitus; Diabetic retinopathy; Diabetic Retinopathy - genetics; Disease susceptibility; Endocrinology; Endothelial cells; Epidemiology; Extracellular matrix; Gene polymorphism; Genetic aspects; Genetic Predisposition to Disease - genetics; Growth factors; Hospitals; Humans; Laboratories; Medical ethics; Medicine and Health Sciences; Meta-analysis; Metabolism; Mutation; Physical Sciences; Polymorphism; Polymorphism, Genetic; Public health; Regression analysis; Research and Analysis Methods; Retinopathy; Statistical analysis; Studies; Systematic review; Transforming Growth Factor beta1 - genetics; Transforming growth factor-b; Transforming growth factor-b1; Transforming growth factors; Type 2 diabetes; Vasoactive intestinal peptide; China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0094160

Transforming growth factor-beta (TGF-β1) gene has been regarded as an important mechanism in angiogenesis, endothelial cell proliferation, adhesion,and the deposition of extracellular matrix. The TGF-β1 gene may be involved in the development of diabetic retinopathy (DR) through disrupting angiogenesis. However, studies investigating the relationship between -509C/T and +869T/C(L10P) polymorphisms and DR yielded contradictory and inconclusive outcomes. In order to realize these ambiguous findings, a meta-analysis was performed to assess the association between the TGF-β1 gene polymorphisms and susceptibility to DR. We conducted a search of all English reports on studies for the association between the TGF-β1 gene polymorphisms and susceptibility to DR using Medline, the Cochrane Library, EMbase, Web of Science, Google (scholar), and all Chinese reports were identified manually and on-line using CBMDisc, Chongqing VIP database, and CNKI database. The strict selection criteria and exclusion criteria were determined, and odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of associations. The fixed or random effect model was selected based on the heterogeneity test among studies. Publication bias was estimated using Begg's funnel plots and Egger's regression test. A total of three studies were included in the meta-analysis and all included studies analyzed patients with type 2 diabetes. For +869T/C(L10P) polymorphism, significant association was observed in an allele model (L versus P: OR = 1.34, 95%CI = 1.03-1.73) and the recessive model (LL versus LP+PP: OR = 1.70, 95%CI = 1.13-2.56). As regards -509C/T polymorphism, no obvious associations were found for all genetic models. This meta-analysis suggested that the +869T/C(L10P) polymorphism in TGFβ1 gene would be a potential protect factor for DR. However, the -509C/T polymorphism is not associated with DR.