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Meta-Analysis
. 2021 Feb 1;13(4):5136-5149.
doi: 10.18632/aging.202433. Epub 2021 Feb 1.

Association between PPAR-γ2 gene polymorphisms and diabetic retinopathy risk: a meta-analysis

Xue-Feng Li  1 , Guang-Bin Jiang  2 , Shi-Yan Cheng  3 , Ya-Feng Song  4 , Cai Deng  5 , Yu-Ming Niu  1   5 , Jun-Wei Cai  1
Affiliations
Meta-Analysis

Association between PPAR-γ2 gene polymorphisms and diabetic retinopathy risk: a meta-analysis

Xue-Feng Li et al. Aging (Albany NY). .

Abstract

A close association between peroxisome proliferator-activated receptor-γ2 (PPAR-γ2) and the development of diabetic retinopathy (DR) has been previously suggested. Herein, a meta-analysis was conducted to explore the association between PPAR-γ2 polymorphisms and DR risk by performing a systematic search and quantitative analysis. Overall, fourteen articles involving 10,527 subjects were included. The pooled results did not reveal an association between PPAR-γ2 rs1801282 C/G and DR susceptibility in the overall population (e.g., the dominant model: CG+GG vs. CC, OR=0.85, 95% CI=0.69-1.06, P=0.15, I2=62.9%). Furthermore, heterogeneity tests, cumulative analyses, sensitivity analyses, and publication bias analyses were conducted and showed that the results were robust. Similarly, race-based subgroup analyses and other subgroup analyses did not reveal an association between the rs1801282 C/G and DR susceptibility. In addition, no significant association was observed between PPAR-γ2 rs3856806 C/T polymorphism and DR risk (e.g., the dominant model: CT+TT vs. CC, OR=1.12, 95%CI=0.91-1.37, P=0.28, I2=27.0%). Overall, based on the current sample size and the level of evidence presented in the study, the results suggest that PPAR-γ2 gene polymorphisms are not associated with DR risk.

Keywords: PPAR-γ2; diabetic retinopathy; meta-analysis; polymorphism.

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Conflict of interest statement

CONFLICTS OF INTEREST: The authors declare that there is no conflicts of interest.

Figures

Figure 1
Figure 1
Flow diagram of the study selection process.
Figure 2
Figure 2
Statistical analysis of the association between PPAR-γ2 rs1801282 C/G polymorphism and diabetic retinopathy risk in CG+GG vs. CC model.
Figure 3
Figure 3
Cumulative meta-analyses according to publication year in CG+GG vs. CC model of PPAR-γ2 rs1801282 C/G polymorphism.
Figure 4
Figure 4
Sensitivity analysis through deleting each study to reflect the influence of the individual dataset to the pooled ORs in CG+GG vs. CC model of PPAR-γ2 rs1801282 C/G polymorphism.
Figure 5
Figure 5
Funnel plot analysis to detect publication bias for CG+GG vs. CC model of PPAR-γ2 rs1801282 C/G polymorphism. Circles represent the weight of the studies.
See this image and copyright information in PMC

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References

    1. Klein BE. Overview of epidemiologic studies of diabetic retinopathy. Ophthalmic Epidemiol. 2007; 14:179–83. 10.1080/09286580701396720 - DOI - PubMed
    1. Fong DS, Aiello L, Gardner TW, King GL, Blankenship G, Cavallerano JD, Ferris FL 3rd, Klein R, and American Diabetes Association. Retinopathy in diabetes. Diabetes Care. 2004. (Suppl 1); 27:S84–87. 10.2337/diacare.27.2007.s84 - DOI - PubMed
    1. Zhang X, Saaddine JB, Chou CF, Cotch MF, Cheng YJ, Geiss LS, Gregg EW, Albright AL, Klein BE, Klein R. Prevalence of diabetic retinopathy in the United States, 2005-2008. JAMA. 2010; 304:649–56. 10.1001/jama.2010.1111 - DOI - PMC - PubMed
    1. Song P, Yu J, Chan KY, Theodoratou E, Rudan I. Prevalence, risk factors and burden of diabetic retinopathy in China: a systematic review and meta-analysis. J Glob Health. 2018; 8:010803. 10.7189/jogh.08.010803 - DOI - PMC - PubMed
    1. Ogurtsova K, da Rocha Fernandes JD, Huang Y, Linnenkamp U, Guariguata L, Cho NH, Cavan D, Shaw JE, Makaroff LE. IDF Diabetes Atlas: global estimates for the prevalence of diabetes for 2015 and 2040. Diabetes Res Clin Pract. 2017; 128:40–50. 10.1016/j.diabres.2017.03.024 - DOI - PubMed

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