Interactions between plasma copper concentrations and SOD1 gene polymorphism for impaired glucose regulation and type 2 diabetes

Jiawei Yin; Xiaoqian Wang; Shuzhen Li; Yalun Zhu; Sijing Chen; Peiyun Li; Cheng Luo; Yue Huang; Xiaoqin Li; Xueting Hu; Wei Yang; Wei Bao; Zhilei Shan; Liegang Liu

doi:10.1016/j.redox.2019.101172

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Interactions between plasma copper concentrations and SOD1 gene polymorphism for impaired glucose regulation and type 2 diabetes

Journal article

Open access

Peer reviewed

Interactions between plasma copper concentrations and SOD1 gene polymorphism for impaired glucose regulation and type 2 diabetes

Jiawei Yin, Xiaoqian Wang, Shuzhen Li, Yalun Zhu, Sijing Chen, Peiyun Li, Cheng Luo, Yue Huang, Xiaoqin Li, Xueting Hu, …

Redox biology, Vol.24, pp.101172-101172

06/2019

DOI: 10.1016/j.redox.2019.101172

PMCID: PMC6434161

PMID: 30909159

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Abstract

To examine the associations of plasma copper concentrations and superoxide dismutase 1 (SOD1) polymorphisms as well as their gene-environment interaction with newly diagnosed impaired glucose regulation (IGR) and type 2 diabetes (T2D). We performed a large case-control study in 2520 Chinese Han subjects: 1004 newly diagnosed T2D patients, 512 newly diagnosed IGR patients and 1004 individuals with normal glucose tolerance. After multivariable adjustment, the ORs (95% CIs) of T2D across tertiles of plasma copper were 1.00 (reference), 1.85 (95% CI: 1.39, 2.45), and 4.21 (95% CI: 3.20, 5.55) (P-trend < 0.001). Each SD increment of ln-transformed plasma copper was associated with 104% higher odds (OR 2.04, 95%CI 1.82-2.28) increment in ORs of T2D. Meanwhile, compared with the GG genotype of rs2070424, the OR of T2D associated with AG and AA genotypes were 1.44 (95% CI 1.15-1.81) and 1.74 (95% CI 1.33-2.28), respectively. In addition, the positive association between plasma copper and T2D was modified by rs2070424 genotypes. The adjusted ORs and 95% CIs of T2D per SD increment of ln-transformed plasma copper were 2.40 (1.93-2.99), 1.85 (1.59-2.16) and 1.76 (1.44-2.15) in rs2070424 GG, AG and GG carriers respectively (P for interaction < 0.05). Similar interactions were also found for IGR and IGR&T2D. When the joint effects were examined, individuals with rs2070424 AA genotype and the highest tertile of plasma copper concentration had a much higher risk of IGR&T2D (OR 5.34, 95% CI 3.48-8.21) than those with rs2070424 GG genotype and the lowest tertile of plasma copper concentrations. Plasma copper concentrations are positively and significantly associated with IGR as well as T2D, and these associations may be modified by SOD1 polymorphism. Further studies are warranted to elucidate the potential mechanisms.

Anthropometry

Biomarkers

Genetic Predisposition to Disease

Genetic Association Studies

Copper - blood

Diabetes Mellitus, Type 2 - genetics

Humans

Middle Aged

Genotype

Male

Diabetes Mellitus, Type 2 - metabolism

Diabetes Mellitus, Type 2 - blood

Superoxide Dismutase-1 - metabolism

Alleles

Superoxide Dismutase-1 - genetics

Glucose - metabolism

Adult

Female

Aged

Polymorphism, Single Nucleotide

Odds Ratio

Details

Title: Subtitle: Interactions between plasma copper concentrations and SOD1 gene polymorphism for impaired glucose regulation and type 2 diabetes
Creators: Jiawei Yin - Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Xiaoqian Wang - Huazhong University of Science and Technology
Shuzhen Li - Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Yalun Zhu - Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Sijing Chen - Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Peiyun Li - Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Cheng Luo - Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Yue Huang - Huazhong University of Science and Technology
Xiaoqin Li - Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Xueting Hu - Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Wei Yang - Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Wei Bao - Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA 52242, USA
Zhilei Shan - Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
Liegang Liu - Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. Electronic address: lgliu@mails.tjmu.edu.cn
Resource Type: Journal article
Publication Details: Redox biology, Vol.24, pp.101172-101172
DOI: 10.1016/j.redox.2019.101172
PMID: 30909159
PMCID: PMC6434161
NLM abbreviation: Redox Biol
ISSN: 2213-2317
eISSN: 2213-2317
Publisher: Netherlands
Grant note: R21 HD091458 / NICHD NIH HHS
Language: English
Date published: 06/2019
Academic Unit: Epidemiology; Fraternal Order of Eagles Diabetes Research Center
Record Identifier: 9983995173602771

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