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Complement C1q as a Potential Biomarker for Obesity and Metabolic Syndrome in Chinese Adolescents

BACKGROUND: Complement C1q (C1q) has been confirmed to be related to obesity, metabolic syndrome (MetS), and its components. However, human data regarding the associations are relatively scarce. This study aimed to investigate associations of C1q with obesity as well as MetS in Chinese adolescents....

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Autores principales: Yang, Xuelian, Ma, Yanan, Zhao, Zhongyi, Zhen, Shihan, Wen, Deliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7735390/
https://www.ncbi.nlm.nih.gov/pubmed/33329392
http://dx.doi.org/10.3389/fendo.2020.586440
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author Yang, Xuelian
Ma, Yanan
Zhao, Zhongyi
Zhen, Shihan
Wen, Deliang
author_facet Yang, Xuelian
Ma, Yanan
Zhao, Zhongyi
Zhen, Shihan
Wen, Deliang
author_sort Yang, Xuelian
collection PubMed
description BACKGROUND: Complement C1q (C1q) has been confirmed to be related to obesity, metabolic syndrome (MetS), and its components. However, human data regarding the associations are relatively scarce. This study aimed to investigate associations of C1q with obesity as well as MetS in Chinese adolescents. METHODS: A total of 1,191 Chinese adolescents aged 13–18 years were enrolled in this study. The biochemical and anthropometric variables of all the subjects were evaluated using standardized procedures. C1q was measured using the immunoturbidometric assay. The relationship between C1q and obesity or MetS was analyzed using multiple regression analyses. RESULTS: Obesity was more prevalent among participants in the highest tertile than in the lowest tertile of C1q levels. The highest tertile of C1q was related to a greater effect on the risk of MetS, and its trend test was statistically significant. Except for hyperglycemia, the prevalence of other components of MetS significantly increased relative to an increase in C1q tertile. Receiver operating characteristic (ROC) curve analysis of C1q for predicting adolescents with MetS illustrated that the area under the curve (AUC) was 0.82 [95% confidence interval (CI): 0.76, 0.88; P<0.001] in the total population after adjusting for confounders. CONCLUSIONS: This study observed a significantly higher prevalence of obesity and MetS features in adolescents with high C1q. The findings of the current study also reported a significant relationship between C1q levels and MetS components [except for fasting plasma glucose (FPG)] in Chinese adolescents. C1q may represent a biomarker for predicting obesity or MetS in adolescents.
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spelling pubmed-77353902020-12-15 Complement C1q as a Potential Biomarker for Obesity and Metabolic Syndrome in Chinese Adolescents Yang, Xuelian Ma, Yanan Zhao, Zhongyi Zhen, Shihan Wen, Deliang Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Complement C1q (C1q) has been confirmed to be related to obesity, metabolic syndrome (MetS), and its components. However, human data regarding the associations are relatively scarce. This study aimed to investigate associations of C1q with obesity as well as MetS in Chinese adolescents. METHODS: A total of 1,191 Chinese adolescents aged 13–18 years were enrolled in this study. The biochemical and anthropometric variables of all the subjects were evaluated using standardized procedures. C1q was measured using the immunoturbidometric assay. The relationship between C1q and obesity or MetS was analyzed using multiple regression analyses. RESULTS: Obesity was more prevalent among participants in the highest tertile than in the lowest tertile of C1q levels. The highest tertile of C1q was related to a greater effect on the risk of MetS, and its trend test was statistically significant. Except for hyperglycemia, the prevalence of other components of MetS significantly increased relative to an increase in C1q tertile. Receiver operating characteristic (ROC) curve analysis of C1q for predicting adolescents with MetS illustrated that the area under the curve (AUC) was 0.82 [95% confidence interval (CI): 0.76, 0.88; P<0.001] in the total population after adjusting for confounders. CONCLUSIONS: This study observed a significantly higher prevalence of obesity and MetS features in adolescents with high C1q. The findings of the current study also reported a significant relationship between C1q levels and MetS components [except for fasting plasma glucose (FPG)] in Chinese adolescents. C1q may represent a biomarker for predicting obesity or MetS in adolescents. Frontiers Media S.A. 2020-11-30 /pmc/articles/PMC7735390/ /pubmed/33329392 http://dx.doi.org/10.3389/fendo.2020.586440 Text en Copyright © 2020 Yang, Ma, Zhao, Zhen and Wen http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Yang, Xuelian
Ma, Yanan
Zhao, Zhongyi
Zhen, Shihan
Wen, Deliang
Complement C1q as a Potential Biomarker for Obesity and Metabolic Syndrome in Chinese Adolescents
title Complement C1q as a Potential Biomarker for Obesity and Metabolic Syndrome in Chinese Adolescents
title_full Complement C1q as a Potential Biomarker for Obesity and Metabolic Syndrome in Chinese Adolescents
title_fullStr Complement C1q as a Potential Biomarker for Obesity and Metabolic Syndrome in Chinese Adolescents
title_full_unstemmed Complement C1q as a Potential Biomarker for Obesity and Metabolic Syndrome in Chinese Adolescents
title_short Complement C1q as a Potential Biomarker for Obesity and Metabolic Syndrome in Chinese Adolescents
title_sort complement c1q as a potential biomarker for obesity and metabolic syndrome in chinese adolescents
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7735390/
https://www.ncbi.nlm.nih.gov/pubmed/33329392
http://dx.doi.org/10.3389/fendo.2020.586440
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