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Analysis of association between common variants of uncoupling proteins genes and diabetic retinopathy in a Chinese population

BACKGROUND: The aim of this study was to explore the association between diabetic retinopathy (DR) and the variants of uncoupling proteins (UCPs) genes in a Chinese population of type 2 diabetes, in total and in patients of different glycemic status separately. METHODS: This case-control study inclu...

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Autores principales: Jin, Peiyao, Li, Zhiqiang, Xu, Xian, He, Jiangnan, Chen, Jianhua, Xu, Xun, Du, Xuan, Bai, Xuelin, Zhang, Bo, He, Xiangui, Lu, Lina, Zhu, Jianfeng, Shi, Yongyong, Zou, Haidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006419/
https://www.ncbi.nlm.nih.gov/pubmed/32028915
http://dx.doi.org/10.1186/s12881-020-0956-y
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author Jin, Peiyao
Li, Zhiqiang
Xu, Xian
He, Jiangnan
Chen, Jianhua
Xu, Xun
Du, Xuan
Bai, Xuelin
Zhang, Bo
He, Xiangui
Lu, Lina
Zhu, Jianfeng
Shi, Yongyong
Zou, Haidong
author_facet Jin, Peiyao
Li, Zhiqiang
Xu, Xian
He, Jiangnan
Chen, Jianhua
Xu, Xun
Du, Xuan
Bai, Xuelin
Zhang, Bo
He, Xiangui
Lu, Lina
Zhu, Jianfeng
Shi, Yongyong
Zou, Haidong
author_sort Jin, Peiyao
collection PubMed
description BACKGROUND: The aim of this study was to explore the association between diabetic retinopathy (DR) and the variants of uncoupling proteins (UCPs) genes in a Chinese population of type 2 diabetes, in total and in patients of different glycemic status separately. METHODS: This case-control study included a total of 3107 participants from two datasets, among which 662 were DR patients (21.31%). Eighteen tag single nucleotide polymorphisms (SNPs) of UCP1, UCP2, and UCP3 were selected as genetic markers. TaqMan probes, Sequenom MassARRAY MALDI-TOF mass spectrometry platform and Affymetrix Genome-Wide Human SNP Array were used for genotyping. Online SHEsis software was used for association analysis. Bonferroni correction was used for multiple comparisons correction. RESULTS: Three SNPs of UCP1: rs7688743 (A allele, OR = 1.192, p = 0.013), rs3811787 (T allele, OR = 0.863, p = 0.023), and rs10011540 (G allele, OR = 1.368, p = 0.004) showed association with DR after the adjustment of glucose, but only rs10011540 was marginally significantly associated with DR when Bonferroni correction was strictly applied (p(adj) = 0.048). In patients with uncontrolled glucose, rs7688743 (A allele, p = 0.012, OR = 1.309), rs10011540 (G allele, p = 0.033, OR = 1.432), and rs3811787 (T allele, p = 0.022, OR = 0.811) were associated with DR, while in participants with well controlled glucose, the rs2734827 of UCP3 was associated with DR (A allele, p = 0.017, OR = 0.532). Rs3811787 of UCP1 showed a protective effect to sight threatening DR (T allele, p = 0.007, OR = 0.490), and the association existed after the adjustment for environmental factors and the correction. In patients with uncontrolled glucose, the rs3811787 of UCP1 (T allele, p = 0.017, OR = 0.467) and the rs591758 of UCP3 (C allele, p = 0.026, OR = 0.103) were associated with STDR. While in those with well controlled glucose, only the rs7688743 of UCP1 showed a protective effect (A allele, p = 0.024, OR = 0.049). None of the associations remain significant when Bonferroni correction was strictly applied (all p < 0.05). CONCLUSIONS: The rs10011540 and rs3811787 of the UCP1 gene was marginally significantly associated with DR in Chinese type 2 diabetes patients. There might be different mechanisms of DR development in patients with different glycemic status.
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spelling pubmed-70064192020-02-13 Analysis of association between common variants of uncoupling proteins genes and diabetic retinopathy in a Chinese population Jin, Peiyao Li, Zhiqiang Xu, Xian He, Jiangnan Chen, Jianhua Xu, Xun Du, Xuan Bai, Xuelin Zhang, Bo He, Xiangui Lu, Lina Zhu, Jianfeng Shi, Yongyong Zou, Haidong BMC Med Genet Research Article BACKGROUND: The aim of this study was to explore the association between diabetic retinopathy (DR) and the variants of uncoupling proteins (UCPs) genes in a Chinese population of type 2 diabetes, in total and in patients of different glycemic status separately. METHODS: This case-control study included a total of 3107 participants from two datasets, among which 662 were DR patients (21.31%). Eighteen tag single nucleotide polymorphisms (SNPs) of UCP1, UCP2, and UCP3 were selected as genetic markers. TaqMan probes, Sequenom MassARRAY MALDI-TOF mass spectrometry platform and Affymetrix Genome-Wide Human SNP Array were used for genotyping. Online SHEsis software was used for association analysis. Bonferroni correction was used for multiple comparisons correction. RESULTS: Three SNPs of UCP1: rs7688743 (A allele, OR = 1.192, p = 0.013), rs3811787 (T allele, OR = 0.863, p = 0.023), and rs10011540 (G allele, OR = 1.368, p = 0.004) showed association with DR after the adjustment of glucose, but only rs10011540 was marginally significantly associated with DR when Bonferroni correction was strictly applied (p(adj) = 0.048). In patients with uncontrolled glucose, rs7688743 (A allele, p = 0.012, OR = 1.309), rs10011540 (G allele, p = 0.033, OR = 1.432), and rs3811787 (T allele, p = 0.022, OR = 0.811) were associated with DR, while in participants with well controlled glucose, the rs2734827 of UCP3 was associated with DR (A allele, p = 0.017, OR = 0.532). Rs3811787 of UCP1 showed a protective effect to sight threatening DR (T allele, p = 0.007, OR = 0.490), and the association existed after the adjustment for environmental factors and the correction. In patients with uncontrolled glucose, the rs3811787 of UCP1 (T allele, p = 0.017, OR = 0.467) and the rs591758 of UCP3 (C allele, p = 0.026, OR = 0.103) were associated with STDR. While in those with well controlled glucose, only the rs7688743 of UCP1 showed a protective effect (A allele, p = 0.024, OR = 0.049). None of the associations remain significant when Bonferroni correction was strictly applied (all p < 0.05). CONCLUSIONS: The rs10011540 and rs3811787 of the UCP1 gene was marginally significantly associated with DR in Chinese type 2 diabetes patients. There might be different mechanisms of DR development in patients with different glycemic status. BioMed Central 2020-02-06 /pmc/articles/PMC7006419/ /pubmed/32028915 http://dx.doi.org/10.1186/s12881-020-0956-y Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Jin, Peiyao
Li, Zhiqiang
Xu, Xian
He, Jiangnan
Chen, Jianhua
Xu, Xun
Du, Xuan
Bai, Xuelin
Zhang, Bo
He, Xiangui
Lu, Lina
Zhu, Jianfeng
Shi, Yongyong
Zou, Haidong
Analysis of association between common variants of uncoupling proteins genes and diabetic retinopathy in a Chinese population
title Analysis of association between common variants of uncoupling proteins genes and diabetic retinopathy in a Chinese population
title_full Analysis of association between common variants of uncoupling proteins genes and diabetic retinopathy in a Chinese population
title_fullStr Analysis of association between common variants of uncoupling proteins genes and diabetic retinopathy in a Chinese population
title_full_unstemmed Analysis of association between common variants of uncoupling proteins genes and diabetic retinopathy in a Chinese population
title_short Analysis of association between common variants of uncoupling proteins genes and diabetic retinopathy in a Chinese population
title_sort analysis of association between common variants of uncoupling proteins genes and diabetic retinopathy in a chinese population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006419/
https://www.ncbi.nlm.nih.gov/pubmed/32028915
http://dx.doi.org/10.1186/s12881-020-0956-y
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