Circulating inflammatory markers in polycystic ovary syndrome: a systematic review and metaanalysis.
OBJECTIVE: To perform a review and metaanalysis of the studies evaluating the status of serum inflammatory markers in women with polycystic ovary syndrome (PCOS). DESIGN: Systematic review and metaanalysis of articles published in English before January 2010 and identified using the PubMed search engine. SETTING: Academic hospital. PATIENT(S): Women with PCOS and appropriate controls. INTERVENTION(S): Measurement of serum concentrations of inflammatory markers by high-sensitivity techniques. MAIN OUTCOME MEASURE(S): Metaanalyses of the mean difference in serum C-reactive protein (CRP), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) concentrations among patients with PCOS and appropriate controls, applying random-effects models to limit interstudy variability, and using appropriate estimates of evidence dissemination bias. RESULT(S): Metaanalysis of the 31 articles meeting inclusion criteria showed that circulating CRP was 96% higher in women with PCOS compared to controls (95% confidence interval, 71%-122%; z = 7.32) without evidence of dissemination bias (Egger's regression intercept, 0.45; 95% confidence interval, -2.30 to 3.21). These findings persisted after excluding five studies with mismatches in body mass, frequency of obesity, or both, between women with PCOS and controls. Metaanalyses involving 10 studies of IL-6, and nine studies of TNF-α revealed no statistically significant differences between PCOS and controls. CONCLUSION(S): Women with PCOS exhibit an elevation in circulating CRP that is independent of obesity. This finding corroborates existing molecular evidence of the chronic low-grade inflammation that may underpin the pathogenesis of this disorder.[1]References
- Circulating inflammatory markers in polycystic ovary syndrome: a systematic review and metaanalysis. Escobar-Morreale, H.F., Luque-Ramírez, M., González, F. Fertil. Steril. (2011) [Pubmed]
Annotations and hyperlinks in this abstract are from individual authors of WikiGenes or automatically generated by the WikiGenes Data Mining Engine. The abstract is from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.About WikiGenesOpen Access LicencePrivacy PolicyTerms of Useapsburg
