代谢组学技术在多囊卵巢综合征诊治中的研究进展
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无锡市重大科技计划项目(Z201807)


Research progress of metabonomics for the diagnosis of polycystic ovary syndrome
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    摘要:

    多囊卵巢综合征(polycystic ovary syndrome,PCOS)是一种兼有代谢紊乱与生殖障碍的内分泌综合征,临床表现异质性强,发病机制复杂不明,因其暂未有诊断的金标准,故以排除性诊断为主,给临床制订个体化诊疗方案带来困难。代谢组学通过检测机体代谢过程中产生的小分子产物,近年来在寻找PCOS潜在诊断标志物及探索其发病机制领域取得一定突破,并可能为PCOS精准诊疗策略的制订提供证据支持。文章就PCOS发病机制及代谢组学技术在探索其机制并指导临床诊治的研究进展展开综述。

    Abstract:

    The polycystic ovary syndrome(PCOS)is defined as a complex endocrine syndrome,which exhibits chronic ovulatory disorders,hyperandrogenism,insulin resistance and some other metabolic disorders. However,the mechanisms underlying these various clinical signs and symptoms are still not entirely known,which causes difficulties for clinical diagnosis and treatment of PCOS. Along with the development of metabonomics technologies,the available technique to detect and comprehensively analyze the innumerable small-molecule metabolities,may allow to find out the interactions between the symptoms and pathogenesis of PCOS, indicate the origin of these metabolic alterations,and discover new metabolic biomarkers for PCOS. This review summarizes the metabolites associated with PCOS according to recent metabolomic studies,and hopefully,some new biomarkers may serve to predict the progression of the disease and promote clinical individualization of diagnosis and treatment.

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倪成铭,贺 晴,蒋艳敏,徐 湘,朱许萍,许 岚.代谢组学技术在多囊卵巢综合征诊治中的研究进展[J].南京医科大学学报(自然科学版),2019,(10):1541-1545

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  • 收稿日期:2018-11-06
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  • 在线发布日期: 2019-11-01
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