Evidence map›Paper›PMID 41648982›Full record

ArticleThe Indian journal of medical research2025

Serum uric acid levels in patients with different phenotypes of polycystic ovary syndrome.

Canan Akkus, Oznur Oner, Atilla Okan Kilic, Merve Ucar Toros, Cevdet Duran

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Article in The Indian journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Authors' response.The Indian journal of medical research · 2026
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Canan AkkusDepartment of Internal Medicine, Usak University School of Medicine, Usak, Turkey.
Oznur OnerDepartment of Gynecology and Obstetrics, Usak University School of Medicine, Usak, Turkey.
Atilla Okan KilicDepartment of Internal Medicine, Usak University School of Medicine, Usak, Turkey.
Merve Ucar TorosDepartment of Internal Medicine, Usak University School of Medicine, Usak, Turkey.
Cevdet DuranDepartment of Internal Medicine, Usak University School of Medicine, Usak, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives Polycystic ovary syndrome (PCOS) is a common endocrinopathy in reproductive-aged women, frequently associated with insulin resistance, obesity, and increased cardiovascular risk. Serum uric acid, linked to oxidative stress and endothelial dysfunction, may contribute to the cardiometabolic complications of PCOS. Although hyperuricemia is common in PCOS, differences in serum uric acid among phenotypes remain unclear. This study compared serum uric acid across PCOS phenotypes, hypothesising that classic, obese phenotypes would exhibit higher levels due to synergistic metabolic and hormonal effects. Methods A total of 180 women with PCOS [phenotypes A(n=96), B (n=19), C (n=35), and D (n=30)] and 51 age-matched controls were included. PCOS was diagnosed according to the revised 2003 Rotterdam criteria, and phenotyping was based on the presence of hyperandrogenism, oligo-anovulation, and polycystic ovarian morphology. Fasting serum uric acid levels were measured using the uricase method, and hyperuricemia was detected as ≥6.0 mg/dL. Analyses were performed using the Shapiro-Wilk test for normality, Levene's test for homogeneity, and appropriate parametric or non-parametric tests with Holm correction for multiple comparisons. Results Among 231 women evaluated, age distributions were similar between groups. Median body mass index (BMI) and waist circumference (WC) were higher in the PCOS cohort, most prominently in Phenotype A (both P<0.001). Serum uric acid was significantly higher in Phenotype A [4.8 (2.7-8.9) mg/dL] than in controls [4.1 (2.7-6.3) mg/dL] and Phenotype C [4.2 (2.6-5.8) mg/dL] (both P<0.001). Hyperuricemia was more frequent in PCOS than in controls (P=0.035), occurring predominantly in Phenotype A. Most hyperuricemic patients were obese; notably, no obese controls were available for comparison. Serum uric acid levels were positively associated with BMI (Spearman rho=0.452, +) and WC (0.412, P<0.001), yet in BMI categories, no significant differences were found in serum uric acid among phenotypes. Interpretation & conclusions Among PCOS patients, elevated serum uric acid is significantly associated with the classic hyperandrogenic phenotype (Phenotype A) and may also be related to obesity, emphasising the importance of monitoring serum uric acid in obese classical PCOS females, particularly those presenting with Phenotype A.

Indexed as

HyperuricemiaObesityPolycystic Ovary SyndromeUric AcidAdultBody Mass IndexCardiovascular DiseasesFemaleHumansHyperandrogenismInsulin ResistanceOxidative StressPhenotypeWaist CircumferenceUric AcidBody mass indexhyperuricemiaphenotypepolycystic ovary syndromeuric acid

Identifiers

PMID41648982
PMCPMC12883110

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.