ArticleLife (Basel, Switzerland)2024
Exploring the Association of Biochemical Characterization and Genetic Determinants of TNF-α, CXCR2, and CCR5 Delta 32 Mutation with Predisposition to Polycystic Ovary Syndrome.
Article in Life (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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7 authors.
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Abstract
PCOS is a heterogeneous, multifactorial endocrine disorder with a complex pathophysiology. It is a globally rising infertility disorder that affects a large percentage of women of reproductive age, with a relatively high prevalence of 8-13%. Genome-wide association studies have revealed associations of genetic variations with many diseases, including PCOS. The cellular activity of IL8 is mediated by the receptor CXCR2, and transcription of IL8 is controlled by TNF-α. Therefore, this study aimed to investigate the association of TNF-α, CCR5-delta32, and CXCR2 gene variations with PCOS. METHODOLOGY: In this case control study, we used amplification-refractory mutation system (ARMS)-PCR to detect and determine the presence of the polymorphic variants TNF-α, CCR5-delta32, and CXCR2 in the study subjects. These gene polymorphs may serve as critical candidate gene variants in PCOS pathogenesis and therapeutics.
resultsThe case-control study's findings revealed that the majority of the biochemical and endocrine serum biomarkers examined in the investigation-including lipids (LDL, HDL, and cholesterol), T2DM markers (fasting glucose, free insulin, and HOMA-IR), and hormones (FSH, LH, testosterone, and progesterone)-exhibited statistically significant changes in PCOS patients. The distributions of TNF-α (rs1800629), CCR5-delta32, and CXCR2 (rs2230054) genotypes analyzed within PCOS patients and healthy controls in the considered population were significant (
conclusionsOur study concludes that TNF-α rs1800629G>A, CXCR2-rs2230054C>T, and CCR5-Delta32 rs333 are potential loci for developing PCOS in the Tabuk population. These findings might eventually be useful in identifying and classifying those who are at risk for PCOS. To validate these results, it is advised that further longitudinal studies be conducted in diverse ethnic populations and with larger sample sizes.
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