Cargando…
Associations of Body Composition Measurements with Serum Lipid, Glucose and Insulin Profile: A Chinese Twin Study
OBJECTIVES: To quantitate and compare the associations of various body composition measurements with serum metabolites and to what degree genetic or environmental factors affect obesity-metabolite relation. METHODS: Body mass index (BMI), waist circumference (WC), lean body mass (LBM), percent body...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640552/ https://www.ncbi.nlm.nih.gov/pubmed/26556598 http://dx.doi.org/10.1371/journal.pone.0140595 |
_version_ | 1782400090441252864 |
---|---|
author | Liao, Chunxiao Gao, Wenjing Cao, Weihua Lv, Jun Yu, Canqing Wang, Shengfeng Zhou, Bin Pang, Zengchang Cong, Liming Wang, Hua Wu, Xianping Li, Liming |
author_facet | Liao, Chunxiao Gao, Wenjing Cao, Weihua Lv, Jun Yu, Canqing Wang, Shengfeng Zhou, Bin Pang, Zengchang Cong, Liming Wang, Hua Wu, Xianping Li, Liming |
author_sort | Liao, Chunxiao |
collection | PubMed |
description | OBJECTIVES: To quantitate and compare the associations of various body composition measurements with serum metabolites and to what degree genetic or environmental factors affect obesity-metabolite relation. METHODS: Body mass index (BMI), waist circumference (WC), lean body mass (LBM), percent body fat (PBF), fasting serum high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), triglycerides (TG), total cholesterol (TC), glucose, insulin and lifestyle factors were assessed in 903 twins from Chinese National Twin Registry (CNTR). Homeostasis model assessment of insulin resistance (HOMA-IR) was calculated from fasting serum glucose and insulin. Linear regression models and bivariate structural equation models were used to examine the relation of various body composition measurements with serum metabolite levels and genetic/environmental influences on these associations, respectively. RESULTS: At individual level, adiposity measurements (BMI, WC and PBF) showed significant associations with serum metabolite concentrations in both sexes and the associations still existed in male twins when using within-MZ twin pair comparison analyses. Associations of BMI with TG, insulin and HOMA-IR were significantly stronger in male twins compared to female twins (BMI-by-sex interaction p = 0.043, 0.020 and 0.019, respectively). Comparison of various adiposity measurements with levels of serum metabolites revealed that WC explained the largest fraction of variance in serum LDL-C, TG, TC and glucose concentrations while BMI performed best in explaining variance in serum HDL-C, insulin and HOMA-IR levels. Of these phenotypic correlations, 64–81% were attributed to genetic factors, whereas 19–36% were attributed to unique environmental factors. CONCLUSIONS: We observed different associations between adiposity and serum metabolite profile and demonstrated that WC and BMI explained the largest fraction of variance in serum lipid profile and insulin resistance, respectively. To a large degree, shared genetic factors contributed to these associations with the remaining explained by twin-specific environmental factors. |
format | Online Article Text |
id | pubmed-4640552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46405522015-11-13 Associations of Body Composition Measurements with Serum Lipid, Glucose and Insulin Profile: A Chinese Twin Study Liao, Chunxiao Gao, Wenjing Cao, Weihua Lv, Jun Yu, Canqing Wang, Shengfeng Zhou, Bin Pang, Zengchang Cong, Liming Wang, Hua Wu, Xianping Li, Liming PLoS One Research Article OBJECTIVES: To quantitate and compare the associations of various body composition measurements with serum metabolites and to what degree genetic or environmental factors affect obesity-metabolite relation. METHODS: Body mass index (BMI), waist circumference (WC), lean body mass (LBM), percent body fat (PBF), fasting serum high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), triglycerides (TG), total cholesterol (TC), glucose, insulin and lifestyle factors were assessed in 903 twins from Chinese National Twin Registry (CNTR). Homeostasis model assessment of insulin resistance (HOMA-IR) was calculated from fasting serum glucose and insulin. Linear regression models and bivariate structural equation models were used to examine the relation of various body composition measurements with serum metabolite levels and genetic/environmental influences on these associations, respectively. RESULTS: At individual level, adiposity measurements (BMI, WC and PBF) showed significant associations with serum metabolite concentrations in both sexes and the associations still existed in male twins when using within-MZ twin pair comparison analyses. Associations of BMI with TG, insulin and HOMA-IR were significantly stronger in male twins compared to female twins (BMI-by-sex interaction p = 0.043, 0.020 and 0.019, respectively). Comparison of various adiposity measurements with levels of serum metabolites revealed that WC explained the largest fraction of variance in serum LDL-C, TG, TC and glucose concentrations while BMI performed best in explaining variance in serum HDL-C, insulin and HOMA-IR levels. Of these phenotypic correlations, 64–81% were attributed to genetic factors, whereas 19–36% were attributed to unique environmental factors. CONCLUSIONS: We observed different associations between adiposity and serum metabolite profile and demonstrated that WC and BMI explained the largest fraction of variance in serum lipid profile and insulin resistance, respectively. To a large degree, shared genetic factors contributed to these associations with the remaining explained by twin-specific environmental factors. Public Library of Science 2015-11-10 /pmc/articles/PMC4640552/ /pubmed/26556598 http://dx.doi.org/10.1371/journal.pone.0140595 Text en © 2015 Liao et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Liao, Chunxiao Gao, Wenjing Cao, Weihua Lv, Jun Yu, Canqing Wang, Shengfeng Zhou, Bin Pang, Zengchang Cong, Liming Wang, Hua Wu, Xianping Li, Liming Associations of Body Composition Measurements with Serum Lipid, Glucose and Insulin Profile: A Chinese Twin Study |
title | Associations of Body Composition Measurements with Serum Lipid, Glucose and Insulin Profile: A Chinese Twin Study |
title_full | Associations of Body Composition Measurements with Serum Lipid, Glucose and Insulin Profile: A Chinese Twin Study |
title_fullStr | Associations of Body Composition Measurements with Serum Lipid, Glucose and Insulin Profile: A Chinese Twin Study |
title_full_unstemmed | Associations of Body Composition Measurements with Serum Lipid, Glucose and Insulin Profile: A Chinese Twin Study |
title_short | Associations of Body Composition Measurements with Serum Lipid, Glucose and Insulin Profile: A Chinese Twin Study |
title_sort | associations of body composition measurements with serum lipid, glucose and insulin profile: a chinese twin study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640552/ https://www.ncbi.nlm.nih.gov/pubmed/26556598 http://dx.doi.org/10.1371/journal.pone.0140595 |
work_keys_str_mv | AT liaochunxiao associationsofbodycompositionmeasurementswithserumlipidglucoseandinsulinprofileachinesetwinstudy AT gaowenjing associationsofbodycompositionmeasurementswithserumlipidglucoseandinsulinprofileachinesetwinstudy AT caoweihua associationsofbodycompositionmeasurementswithserumlipidglucoseandinsulinprofileachinesetwinstudy AT lvjun associationsofbodycompositionmeasurementswithserumlipidglucoseandinsulinprofileachinesetwinstudy AT yucanqing associationsofbodycompositionmeasurementswithserumlipidglucoseandinsulinprofileachinesetwinstudy AT wangshengfeng associationsofbodycompositionmeasurementswithserumlipidglucoseandinsulinprofileachinesetwinstudy AT zhoubin associationsofbodycompositionmeasurementswithserumlipidglucoseandinsulinprofileachinesetwinstudy AT pangzengchang associationsofbodycompositionmeasurementswithserumlipidglucoseandinsulinprofileachinesetwinstudy AT congliming associationsofbodycompositionmeasurementswithserumlipidglucoseandinsulinprofileachinesetwinstudy AT wanghua associationsofbodycompositionmeasurementswithserumlipidglucoseandinsulinprofileachinesetwinstudy AT wuxianping associationsofbodycompositionmeasurementswithserumlipidglucoseandinsulinprofileachinesetwinstudy AT liliming associationsofbodycompositionmeasurementswithserumlipidglucoseandinsulinprofileachinesetwinstudy |