Metabolism-related proteins as biomarkers for predicting prognosis in polycystic ovary syndrome

The identified metabolism-related proteins provide valuable insights into the prognosis of PCOS. The protein based prognostic model offers a robust and reliable tool for risk stratification and personalized management of PCOS patients.

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Publication Details

Journal
Proteome Science
Published
2024-12-19
DOI
https://doi.org/10.1186/s12953-024-00238-9
Citations
2
Primary Topic
Ovarian function and disorders
Type
article
Field-Weighted Citation Impact
1.07

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article

Metabolism-related proteins as biomarkers for predicting prognosis in polycystic ovary syndrome

Nan Ding, Fang Wang, Peili Wang, Ruifang Wang
2 citations
Proteome Science
Ovarian function and disorders
1.07
article

Metabolism-related proteins as biomarkers for predicting prognosis in polycystic ovary syndrome

Nan Ding, Fang Wang, Peili Wang, Ruifang Wang
article en
2 citations

Abstract

The identified metabolism-related proteins provide valuable insights into the prognosis of PCOS. The protein based prognostic model offers a robust and reliable tool for risk stratification and personalized management of PCOS patients.

Proteome ScienceVol. 22(1)
Lanzhou University Second Hospital (CN), Lanzhou University (CN)
Lanzhou University, National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 19%
Ovarian function and disorders
1.07
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