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Meta-Analysis of Adiponectin as a Biomarker for the Detection of Metabolic Syndrome

Previous studies revealed the potential significance of circulating adiponectin levels with respect to the diagnosis and prediction of metabolic syndrome, but uncertainty has been noted across different cohorts. Systematic evaluation was performed for diagnostic accuracy and predictivity of adiponec...

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Autores principales: Liu, Zhengtao, Liang, Shuheng, Que, Shuping, Zhou, Lin, Zheng, Shusen, Mardinoglu, Adil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6176651/
https://www.ncbi.nlm.nih.gov/pubmed/30333754
http://dx.doi.org/10.3389/fphys.2018.01238
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author Liu, Zhengtao
Liang, Shuheng
Que, Shuping
Zhou, Lin
Zheng, Shusen
Mardinoglu, Adil
author_facet Liu, Zhengtao
Liang, Shuheng
Que, Shuping
Zhou, Lin
Zheng, Shusen
Mardinoglu, Adil
author_sort Liu, Zhengtao
collection PubMed
description Previous studies revealed the potential significance of circulating adiponectin levels with respect to the diagnosis and prediction of metabolic syndrome, but uncertainty has been noted across different cohorts. Systematic evaluation was performed for diagnostic accuracy and predictivity of adiponectin variation for metabolic syndrome in enrolled studies including 1,248 and 6,020 subjects, respectively. Adiponectin can identify metabolic syndrome with moderate accuracy (area under the curve = 0.81, 95% CI: 0.77–0.84). Heterogeneity analysis revealed that an increasing index of insulin resistance was independently associated with improving the performance of adiponectin upon metabolic syndrome diagnosis (ratio of diagnostic odds ratio = 3.89, 95% CI: 1.13–13.9). In addition, reductions in adiponectin were associated with increasing metabolic syndrome incidence in a linear dose-response manner. The risk of hypoadiponectinemia with metabolic syndrome was especially increased in men (P < 0.05). Further Mendelian randomization analysis identified that the amplified risk could be attributed to increased susceptibility (up to 7%) to insulin resistance compared with women. In conclusion, adiponectin measurement might have potential benefits in the detection of metabolic syndrome. Factors that affect insulin resistance should be considered for adjustment in future assessments.
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spelling pubmed-61766512018-10-17 Meta-Analysis of Adiponectin as a Biomarker for the Detection of Metabolic Syndrome Liu, Zhengtao Liang, Shuheng Que, Shuping Zhou, Lin Zheng, Shusen Mardinoglu, Adil Front Physiol Physiology Previous studies revealed the potential significance of circulating adiponectin levels with respect to the diagnosis and prediction of metabolic syndrome, but uncertainty has been noted across different cohorts. Systematic evaluation was performed for diagnostic accuracy and predictivity of adiponectin variation for metabolic syndrome in enrolled studies including 1,248 and 6,020 subjects, respectively. Adiponectin can identify metabolic syndrome with moderate accuracy (area under the curve = 0.81, 95% CI: 0.77–0.84). Heterogeneity analysis revealed that an increasing index of insulin resistance was independently associated with improving the performance of adiponectin upon metabolic syndrome diagnosis (ratio of diagnostic odds ratio = 3.89, 95% CI: 1.13–13.9). In addition, reductions in adiponectin were associated with increasing metabolic syndrome incidence in a linear dose-response manner. The risk of hypoadiponectinemia with metabolic syndrome was especially increased in men (P < 0.05). Further Mendelian randomization analysis identified that the amplified risk could be attributed to increased susceptibility (up to 7%) to insulin resistance compared with women. In conclusion, adiponectin measurement might have potential benefits in the detection of metabolic syndrome. Factors that affect insulin resistance should be considered for adjustment in future assessments. Frontiers Media S.A. 2018-09-19 /pmc/articles/PMC6176651/ /pubmed/30333754 http://dx.doi.org/10.3389/fphys.2018.01238 Text en Copyright © 2018 Liu, Liang, Que, Zhou, Zheng and Mardinoglu. 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 Physiology
Liu, Zhengtao
Liang, Shuheng
Que, Shuping
Zhou, Lin
Zheng, Shusen
Mardinoglu, Adil
Meta-Analysis of Adiponectin as a Biomarker for the Detection of Metabolic Syndrome
title Meta-Analysis of Adiponectin as a Biomarker for the Detection of Metabolic Syndrome
title_full Meta-Analysis of Adiponectin as a Biomarker for the Detection of Metabolic Syndrome
title_fullStr Meta-Analysis of Adiponectin as a Biomarker for the Detection of Metabolic Syndrome
title_full_unstemmed Meta-Analysis of Adiponectin as a Biomarker for the Detection of Metabolic Syndrome
title_short Meta-Analysis of Adiponectin as a Biomarker for the Detection of Metabolic Syndrome
title_sort meta-analysis of adiponectin as a biomarker for the detection of metabolic syndrome
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6176651/
https://www.ncbi.nlm.nih.gov/pubmed/30333754
http://dx.doi.org/10.3389/fphys.2018.01238
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