Metabolomics and correlation network analysis of follicular fluid reveals associations between L-tryptophan, L-tyrosine and polycystic ovary syndrome
Metabolomics and correlation network analysis of follicular fluid reveals associations between L-tryptophan, L-tyrosine and polycystic ovary syndrome
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卵泡液的代谢组学和相关网络分析揭示了 L-色氨酸、L-酪氨酸和多囊卵巢综合征之间的关联
DOI:
10.1002/bmc.4993
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发表时间:
2020-11-05
影响因子:
1.8
通讯作者:
Qiao, Jie
中科院分区:
文献类型:
--
作者:
Hou, Entai;Zhao, Yue;Qiao, Jie
Polycystic ovary syndrome (PCOS) is an endocrine and metabolic disorder in women of reproductive age. Some studies have investigated metabolic alterations in plasma and follicular fluid from PCOS patients, but they did not control for obesity or insulin resistance (IR); additionally, correlation analysis of metabolites is sparse. Accordingly, in this study, we aimed to examine metabolic differences owing to the pathogenesis of PCOS, identify the hub metabolites and investigate its associations with androgens. We applied GC-MS platform coupled with a correlation network approach to analyze follicular fluid samples from 32 PCOS patients without obesity and IR and 31 healthy women. Thirty significantly altered metabolites in PCOS patients were enriched in amino acid metabolism. l-Phenylalanine, l-tryptophan, pyroglutamic acid, l-tyrosine, l-leucine and l-valine were screened as hub metabolites in metabolic correlation network. Among them, increased l-tryptophan and l-tyrosine were altered hub metabolites, and they had a more significant impact on the metabolic change of PCOS. In addition, l-tryptophan and l-tyrosine were significantly positively associated with serum androgens levels in the PCOS. Our results suggest that disorders of amino acid metabolism, especially tryptophan and tyrosine metabolism, might play an important role in the development of PCOS in predisposed women without obesity and IR.