Associations of Obesity Measurements with Serum Metabolomic Profile: A Chinese Twin Study
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Published:2021-02
Issue:1
Volume:24
Page:14-21
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ISSN:1832-4274
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Container-title:Twin Research and Human Genetics
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language:en
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Short-container-title:Twin Res Hum Genet
Author:
Liao Chunxiao,Wang Biqi,Gao Wenjing,Cao Weihua,Lv Jun,Yu Canqing,Huang Tao,Sun Dianjianyi,Wang Shengfeng,Pang Zengchang,Cong Liming,Wang Hua,Wu Xianping,Li Liming
Abstract
AbstractThe objective of this study was to investigate how different obesity measures link to circulating metabolites, and whether the connections are due to genetic or environmental factors. A cross-sectional analysis was performed on follow-up survey data at the Chinese National Twin Registry (CNTR), which was conducted in four areas of China (Shandong, Jiangsu, Zhejiang and Sichuan) in 2013. The survey collected detailed questionnaire information and conducted physical examinations, fasting blood sampling and untargeted metabolomic measurements among 439 adult twins. Linear regression models and bioinformatics analysis were used to examine the relation of obesity measures, including body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR) with serum metabolite levels and related pathways. A co-twin control study was additionally conducted among 15 obesity-discordant monozygotic (MZ) pairs (intrapair BMI difference >3 kg/m2) to examine any differences in metabolites controlling for genetic factors. Eleven metabolites were associated with BMI, WC and WHR after controlling for genetic and shared environmental factors. Pathway analysis identified pathways such as phenylalanine metabolism, purine metabolism, valine, leucine and isoleucine biosynthesis that were associated with obesity. A wide range of unfavorable alterations in the serum metabolome was associated with obesity. Obesity-discordant twin analysis suggests that these associations are independent of genetic liability.
Publisher
Cambridge University Press (CUP)
Subject
Genetics (clinical),Obstetrics and Gynecology,Pediatrics, Perinatology and Child Health
Cited by
1 articles.
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1. Twin Research in China and Worldwide;Progress in China Epidemiology;2022