Open AccessSerum metabolomic profiling reveals potential biomarkers in assessing the management of women with polycystic ovary syndrome: a randomized controlled trial
Author(s) -
Xuesong Ding,
Yan Deng,
Yanfang Wang,
Wei Xue,
ShunPeng Zhu,
Xiao Ma,
Rui-lin Ma,
Aijun Sun
Publication year - 2021
Publication title -
chinese medical journal/chinese medical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.537
H-Index - 63
eISSN - 2542-5641
pISSN - 0366-6999
DOI - 10.1097/cm9.0000000000001705
Subject(s) - polycystic ovary , randomized controlled trial , medicine , receiver operating characteristic , metabolomics , metabolome , biomarker , area under the curve , multivariate analysis , bioinformatics , biology , insulin resistance , biochemistry , insulin , metabolite
As one of the most common endocrinal disorders for women at childbearing age, the diagnostic criteria of polycystic ovary syndrome (PCOS) have been defined differently among different international health organizations. Phenotypic heterogeneity of PCOS also brings about difficulties for its diagnosis and management assessment. Therefore, more efficient biomarkers representing the progression of PCOS are expected to be integrated into the monitoring of management process using metabolomic approaches.