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Study on the relationship between KCNQ1 gene–environment interaction and abnormal glucose metabolism in the elderly in a county of Hechi City, Guangxi

Published online by Cambridge University Press:  28 October 2024

Shiyi Chen ,
Hai Li ,
Chuwu Huang Open the ORCID record for Chuwu Huang [Opens in a new window] ,
You Li ,
Jiansheng Cai ,
Tingyu Luo ,
Xue Liang ,
Bingshuang Long ,
Yi Wei  and
Jiexia Tang
...Show all authors
Shiyi Chen
Affiliation:
Department of Epidemiology, School of Public Health and Management, Guangxi University of Chinese Medicine, 13 Wuhe Road, Nanning, Guangxi 530200, People’s Republic of China
Hai Li
Affiliation:
Department of Epidemiology, School of Public Health and Management, Guangxi University of Chinese Medicine, 13 Wuhe Road, Nanning, Guangxi 530200, People’s Republic of China
Chuwu Huang
Affiliation:
Department of Environmental and Occupational Health, Guangxi Medical University, Nanning 530021, People’s Republic of China
You Li
Affiliation:
School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, Guangxi Zhuang Autonomous Region, Guilin 541001, People’s Republic of China
Jiansheng Cai
Affiliation:
School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, Guangxi Zhuang Autonomous Region, Guilin 541001, People’s Republic of China Key Laboratory of Tumor Immunology and Microenvironmental Regulation, Guilin Medical University, Guangxi Zhuang Autonomous Region, Guilin 541001, People’s Republic of China
Tingyu Luo
Affiliation:
School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, Guangxi Zhuang Autonomous Region, Guilin 541001, People’s Republic of China
Xue Liang
Affiliation:
The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, People’s Republic of China
Bingshuang Long
Affiliation:
The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, People’s Republic of China
Yi Wei
Affiliation:
The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, People’s Republic of China
Jiexia Tang
Affiliation:
Guangxi Center for Disease Control and Prevention, Nanning, Guangxi 530021, People’s Republic of China
Zhiyong Zhang*
Affiliation:
Department of Environmental and Occupational Health, Guangxi Medical University, Nanning 530021, People’s Republic of China School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, Guangxi Zhuang Autonomous Region, Guilin 541001, People’s Republic of China Guangxi Health Commission Key Laboratory of Entire Lifecycle Health and Care (Guilin Medical University), Guilin 541001, People’s Republic of China
Jian Qin*
Affiliation:
Department of Environmental and Occupational Health, Guangxi Medical University, Nanning 530021, People’s Republic of China Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, People’s Republic of China Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning 530021, People’s Republic of China Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education 530021, People’s Republic of China
*
*Corresponding authors: Jian Qin, email qinjian@gxmu.edu.cn; Zhiyong Zhang, email rpazz@163.com
*Corresponding authors: Jian Qin, email qinjian@gxmu.edu.cn; Zhiyong Zhang, email rpazz@163.com
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Abstract

This study aimed to understand the potassium voltage-gated channel KQT-like subfamily, member 1 gene polymorphism in a rural elderly population in a county in Guangxi and to explore the possible relationship between its gene polymorphism and blood sugar. The 6 SNP loci of blood DNA samples from 4355 individuals were typed using the imLDRTM Multiple SNP Typing Kit from Shanghai Tianhao Biotechnology Co. The data combining epidemiological information (baseline questionnaire and physical examination results) and genotyping results were statistically analyzed using GMDR0.9 software and SPSS22.0 software. A total of 4355 elderly people aged 60 years and above were surveyed in this survey, and the total abnormal rate of glucose metabolism was 16·11 % (699/4355). Among them, male:female ratio was 1:1·48; the age group of 60–69 years old accounted for the highest proportion, with 2337 people, accounting for 53·66 % (2337/4355). The results of multivariate analysis showed that usually not doing farm work (OR 1·26; 95 % CI 1·06, 1·50), TAG ≥ 1·70 mmol/l (OR 1·19; 95 % CI 1·11, 1·27), hyperuricaemia (OR 1·034; 95 % CI 1·01, 1·66) and BMI ≥ 24 kg/m2 (OR 1·06; 95 % CI 1·03, 1·09) may be risk factors for abnormal glucose metabolism. Among all participants, rs151290 locus AA genotype, A allele carriers (AA+AC) were 0.70 times more likely (0.54 to 0.91) and 0.82 times more likely (0.70 to 0.97) to develop abnormal glucose metabolism than CC genotype carriers, respectively. Carriers of the T allele at the rs2237892 locus (CT+TT) were 0.85 times more likely to have abnormal glucose metabolism than carriers of the CC genotype (0.72 to 0.99); rs2237897 locus CT gene. The possibility of abnormal glucose metabolism in the carriers of CC genotype, TT genotype and T allele (CT + TT) is 0·79 times (0·67–0·94), 0·74 times (0·55–0·99) and 0·78 times (0·66, 0·92). The results of multifactor dimensionality reduction showed that the optimal interaction model was a three-factor model consisting of farm work, TAG and rs2237897. The best model dendrogram found that the interaction between TAG and rs2237897 had the strongest effect on fasting blood glucose in the elderly in rural areas, and they were mutually antagonistic. Environment–gene interaction is an important factor affecting abnormal glucose metabolism in the elderly of a county in Hechi City, Guangxi.

Keywords

Abnormal glucose metabolismElderly populationGene–environment interactionInteraction modelSNP
Type
Research Article
Information
British Journal of Nutrition , Volume 132 , Issue 8 , 28 October 2024 , pp. 979 - 987
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Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of The Nutrition Society

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Footnotes

†

These two authors contributed equally to this work.

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