Meta-Analysis of Adiponectin as a Biomarker for the Detection of Metabolic Syndrome
Reviewartikel, 2018

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.

metabolic syndrome

diagnostic accuracy

adiponectin

prediction

meta-analysis

Författare

Zhengtao Liu

Zhejiang University

Ministry of Health of People's Republic of China

National Key Lab for Organ Transplants

Shuheng Liang

Women and Children's Hospital of Guangxi

Shuping Que

Kungliga Tekniska Högskolan (KTH)

Lin Zhou

National Key Lab for Organ Transplants

Ministry of Health of People's Republic of China

Zhejiang University

Shusen Zheng

Ministry of Health of People's Republic of China

National Key Lab for Organ Transplants

Zhejiang University

Adil Mardinoglu

Kungliga Tekniska Högskolan (KTH)

Chalmers, Biologi och bioteknik, Systembiologi

King's College London

Frontiers in Physiology

1664-042X (ISSN)

Vol. 9 1238

Ämneskategorier

Endokrinologi och diabetes

Miljömedicin och yrkesmedicin

Näringslära

DOI

10.3389/fphys.2018.01238

Mer information

Senast uppdaterat

2019-01-18