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Meta-analysis of the association of ADIPOQ G276T polymorphism with insulin resistance and blood glucose

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Abstract

Insulin resistance (IR) is a major risk for the development of type 2 diabetes (T2D). Numerous studies have been conducted to determine the relationship of ADIPOQ G276T with IR and blood glucose, but the results are conflicting. We conducted a meta-analysis in this work to further investigate such an association. Published works were retrieved from PubMed and Embase databases. A pooled standardized mean difference (SMD) with 95 % confidence interval (CI) was calculated under a dominant model using a random effect model. Twenty-five studies involving 7,480 subjects were included in the meta-analysis. A significant association of G276T polymorphism with homeostasis model assessment insulin resistance index (HOMA-IR) was observed after excluding studies with obvious heterogeneity by performing influence analysis (SMD = −0. 08, 95 % CI −0.15 to −0.01, p = 0.019) and Galbraith plot analysis (SMD = −0.08, 95 % CI −0.14 to −0.02, p = 0.005). In the subgroup analysis, Asians with TG/TT genotypes were found to have a significantly decreased degree of HOMA-IR (SMD = −0.13, 95 % CI −0.20 to −0.07, p < 0.001). The association of G276T with IR or blood glucose for the subgroups (obese, male, and T2D) was also significant. However, the results may not be reliable for small sample sizes. The current meta-analysis suggested that the G276T polymorphism may genetically affect IR using HOMA-IR as an index, and the effect of this polymorphism on IR particularly exists in Asians.

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Abbreviations

CI:

Confidence interval

FBG:

Fasting blood glucose

F-insulin:

Fasting insulin

HOMA-IR:

Homeostasis model assessment insulin resistance index

IR:

Insulin resistance

P Q :

p Value for Q test of heterogeneity

SD:

Standard deviation

SE:

Standard error

SMD:

Standard mean difference

SNP:

Single nucleotide polymorphism

T2D:

Type 2 diabetes

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Acknowledgments

This work was supported by the National Basic Research Program of China “973” [2013CB530605].

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Authors and Affiliations

  1. Department of Biochemistry, Capital Institute of Pediatrics, Yabao Road 2, Beijing, 100020, China

    Shengrong Ouyang, Dingding Cao, Zhuo Liu, Feifei Ma & Jianxin Wu

  2. Department of Biochemistry, Peking University Capital Institute of Pediatrics Teaching Hospital, Beijing, 100020, China

    Dingding Cao & Jianxin Wu

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  1. Shengrong Ouyang
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  2. Dingding Cao
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  3. Zhuo Liu
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  4. Feifei Ma
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Correspondence to Jianxin Wu.

Additional information

Shengrong Ouyang and Dingding Cao have contributed equally to this work.

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Supplementary material 1 (DOC 67 kb)

Supplementary material 2 (DOC 27 kb)

Supplementary material 3 (DOC 15 kb)

Flow diagram of included/excluded studies (TIFF 2350 kb)

12020_2014_317_MOESM5_ESM.tif

Meta-analysis of the association of ADIPOQ G276T polymorphism with FBG under a dominant model (TT/TG vs. GG) (TIFF 2601 kb)

12020_2014_317_MOESM6_ESM.tif

Meta-analysis of the association of ADIPOQ G276T polymorphism with F-insulin under a dominant model (TT/TG vs. GG) (TIFF 2454 kb)

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Ouyang, S., Cao, D., Liu, Z. et al. Meta-analysis of the association of ADIPOQ G276T polymorphism with insulin resistance and blood glucose. Endocrine 47, 749–757 (2014). https://doi.org/10.1007/s12020-014-0317-8

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  • DOI: https://doi.org/10.1007/s12020-014-0317-8

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