Insight into metabolic dysregulation of polycystic ovary syndrome utilizing metabolomic signatures: a narrative review

多囊卵巢 代谢组学 生物 代谢组 表观遗传学 生物信息学 计算生物学 内分泌学 胰岛素抵抗 遗传学 肥胖 基因 基因表达 DNA甲基化
作者
Aalaap Naigaonkar,Roshan Dadachanji,Manisha Kumari,Srabani Mukherjee
出处
期刊:Critical Reviews in Clinical Laboratory Sciences [Taylor & Francis]
卷期号:62 (2): 85-112 被引量:5
标识
DOI:10.1080/10408363.2024.2430775
摘要

Polycystic ovary syndrome (PCOS) is a complex multifactorial endocrinopathy affecting reproductive aged women globally, whose presentation is strongly influenced by genetic makeup, ethnic, and geographic diversity leaving these affected women substantially predisposed to reproductive and metabolic perturbations. Sophisticated techniques spanning genomics, proteomics, epigenomics, and transcriptomics have been harnessed to comprehensively understand the enigmatic pathophysiology of PCOS, however, conclusive markers for PCOS are still lacking today. Metabolomics represents a paradigm shift in biotechnological advances enabling the simultaneous identification and quantification of metabolites and the use of this approach has added yet another dimension to help unravel the strong metabolic component of PCOS. Reports dissecting the metabolic signature of PCOS have revealed disparate levels of metabolites such as pyruvate, lactate, triglycerides, free fatty acids, carnitines, branched chain and essential amino acids, and steroid intermediates in major biological compartments. These metabolites have been shown to be altered in women with PCOS overall, after phenotypic subgrouping, in animal models of PCOS, and also following therapeutic intervention. This review seeks to supplement previous reviews by highlighting the aforementioned aspects and to provide easy, coherent and elementary access to significant findings and emerging trends. This will in turn help to delineate the metabolic plot in women with PCOS in various biological compartments including plasma, urine, follicular microenvironment, and gut. This may pave the way to design additional studies on the quest of unraveling the etiology of PCOS and delving into novel biomarkers for its diagnosis, prognosis and management.
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