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DOI: 10.1055/s-0037-1605941
Adipokines and Inflammation: A Systemaic Review and Meta-analysis
Publication History
Publication Date:
01 September 2017 (online)
Background:
Obesity-induced inflammation potentially promotes a variety of chronic conditions and diseases with advanced age. A large number of studies reporting on the cross-sectional associations between adipose-tissue derived hormones and immune-inflammatory biomarkers have been published. However, no quantitative evaluation of reported associations was previously performed.
Methods:
We aimed to systematically evaluate cross-sectional studies reporting on the associations between adipose-tissue derived hormones [leptin and adiponectin] and inflammatory biomarkers [C-reactive protein (CRP), interleukin (IL)-6 and tumor necrosis factor (TNF)-α]. We conducted a systematic search of the databases EMBASE and MEDLINE (PubMed) up to January, 2017. Data was independently extracted and evaluated by two reviewers. Pooled effect sizes and 95% confidence intervals were calculated using random-effects models.
Results:
After initial search 5,907 publications were retrieved and from these 314 articles were retained for a full-text review. Overall 60 studies and a total number of 45,210 participants aged on average 50 years were included in the meta-analysis after excluding non-eligible studies. Positive correlations were observed for leptin with the inflammatory biomarkers (Pooled Rho = 0.35, 0.17, and 0.16 for CRP, Il6 and TNF-α, respectively), whereas the respective correlations with adiponectin were negative (Pooled Rho =-0.17, -0.14, and -0,14 for CRP, Il6 and TNF-α, respectively). Stronger correlations were observed for leptin with CRP and IL-6 in obese participants. Stratification by age showed that the correlations tended to be weaker with increasing age of the study participants.
Conclusion:
This is the first quantitative synthesis of epidemiological studies using biomarker data to evaluate the interplay between metabolic and immune-inflammatory pathways. The data revealed potential influences by older age of participants that require further evaluation.