Key result
Genetic variants of LXRα, PPARγ, PON-1, and the IGF-2 cluster are associated with altered metabolic phenotypes and cytokine levels in patients with polycystic ovary syndrome.
Why the study?
Do genetic variants in metabolic genes influence metabolic phenotypes and inflammatory markers in patients with PCOS?
Observational
Do genetic variants in metabolic genes influence metabolic phenotypes and inflammatory markers in patients with PCOS?
Genetic variants in metabolic genes may influence both metabolic characteristics and inflammatory cytokine patterns in patients with PCOS.
Answers are grounded in this paper and cite their sources.
These variants may help stratify metabolic-inflammatory risk in PCOS; leaves open causality and clinical utility pending prospective studies.
Patients with polycystic ovary syndrome (PCOS) suffer, in addition to reproductive disturbances, from symptoms of the metabolic syndrome like insulin resistance, elevated coronary risk and visceral obesity. Genes with confirmed associations to the metabolic syndrome are also candidate genes for a relationship to metabolic parameters of the PCOS syndrome. The study presented indicates that genetic variants of the transcription factors LXRα or PPARγ and the PON-1 or the IGF-2 cluster are associated with altered metabolic phenotypes in PCOS patients. Next to this the absolute cytokine levels and the relation of certain cytokines to IL2, IL12 or INFγ are depending on the genotype. These observations support the hypothesis that various genetic variants in metabolic relevant genes might not only alter the metabolic characteristics within a cohort of PCOS patients but might also influence the cytokine level and the overall pattern of secreted cytokines.
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Knebel et al. (2012) conducted an observational in Polycystic ovary syndrome (PCOS). Genetic variants of LXRα, PPARγ, PON-1, or IGF-2 cluster was evaluated on Metabolic phenotypes and cytokine levels. Genetic variants of LXRα, PPARγ, PON-1, and the IGF-2 cluster are associated with altered metabolic phenotypes and cytokine levels in patients with polycystic ovary syndrome.
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