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Erschienen in: Inflammation Research 5/2010

01.05.2010 | Review

Association between serum amyloid A and obesity: a meta-analysis and systematic review

verfasst von: Yulan Zhao, Xuelian He, Xuegui Shi, Chengjin Huang, Jie Liu, Shuli Zhou, Chew-Kiat Heng

Erschienen in: Inflammation Research | Ausgabe 5/2010

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Abstract

Background

Emerging evidence indicates an association of the acute-phase protein serum amyloid A (SAA) with obesity. Here we review and summarize quantitatively the available data related to this association.

Methods

PubMed was systematically searched using the terms “serum amyloid A” and “obesity.” Eighty-one relevant studies between January 1966 and July 2009 were identified. Of these, only 11 cross-sectional studies and 10 prospective studies with successful interventions met our inclusion criteria for the meta-analysis. All analyses were conducted using the Comprehensive Meta-Analysis software. Literature pertaining to the relationship between SAA and other inflammatory markers, and the association between SAA and obesity-related disorders, such as cardiovascular diseases, atherosclerosis, diabetes, and insulin resistance was also reviewed.

Results

A strong association between body mass index and SAA levels was found in the 11 cross-sectional studies. The overall correlation coefficient is 0.230 (95% CI 0.160–0.297, P < 0.0005). The ten prospective studies were subsequently analyzed, and the difference in SAA levels before and after weight loss, expressed as standardized mean difference was −0.480 (95% CI −0.678 to −0.283, P < 0.0005). We discuss some potential underlying mechanisms and clinical applications for reducing SAA levels in obesity.
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Metadaten
Titel
Association between serum amyloid A and obesity: a meta-analysis and systematic review
verfasst von
Yulan Zhao
Xuelian He
Xuegui Shi
Chengjin Huang
Jie Liu
Shuli Zhou
Chew-Kiat Heng
Publikationsdatum
01.05.2010
Verlag
SP Birkhäuser Verlag Basel
Erschienen in
Inflammation Research / Ausgabe 5/2010
Print ISSN: 1023-3830
Elektronische ISSN: 1420-908X
DOI
https://doi.org/10.1007/s00011-010-0163-y

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