Abstract

Polycystic ovary syndrome (PCOS) is an endocrine disorder that primarily affects women of reproductive age. It is recognized as the leading cause of infertility due to anovulation. This research aims to evaluate the diagnostic potential of oxidative stress biomarkers, including advanced oxidation protein products (AOPP), malondialdehyde (MDA), uric acid (UA), and nitric oxide (NO), in identifying PCOS. A literature search was conducted in the EMBASE, PubMed, Cochrane Library, and Scopus databases. The standardized mean difference (SMD) and 95% confidence interval (CI) were employed to assess the correlation between free radical product and PCOS. Moreover, the presence of heterogeneity among the studies was assessed utilizing the I2 statistic and Cochran Q test. The methodological rigor of the incorporated studies was assessed through the application of the Newcastle-Ottawa Scale. Furthermore, the presence of publication bias was determined via Begg and Egger tests. This meta-analysis reviewed 38 observational studies, including 17,845 women. The results revealed a significant association between PCOS in women and alterations in free radical levels. The study revealed that the PCOS group had significantly higher levels of AOPP (SMD = 3.193; 95% CI, 2.86 to 3.25), UA (SMD = 0.68; 95% CI, 0.24 to 1.13), and MDA (SMD = 1.16; 95% CI, 0.77 to 1.56) compared to the healthy control group. Furthermore, the analysis found a significantly lower level of NO (SMD = (- 0.59); 95% CI, - 1.15 to - 0.03) in the PCOS patient. Screening of specific biomarkers associated with free radical products could provide valuable benefits in the prognosis and diagnosis of PCOS.

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