Identification of energy metabolism anomalies and serum biomarkers in the progression of premature ovarian failure via extracellular vesicles’ proteomic and metabolomic profiles

Omics analysis revealed that inflammation, oxidative stress, and hormone imbalance are factors that damage ovarian tissue, but the progressive dysfunction of energy metabolism might be the critical pathogenic pathway contributing to the development of POF. AFM combined with 2-oxoarginine serves as a precise biomarker for clinical POF diagnosis.

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Publication Details

Journal
Reproductive Biology and Endocrinology
Published
2024-08-19
DOI
https://doi.org/10.1186/s12958-024-01277-9
Citations
6
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
1.40

Funders

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article

Identification of energy metabolism anomalies and serum biomarkers in the progression of premature ovarian failure via extracellular vesicles’ proteomic and metabolomic profiles

Desheng Lu, Zhengdong Liao, Hongyu Zhao, Qi‐Lin Zhou et al.
6 citations
Reproductive Biology and Endocrinology
Metabolomics and Mass Spectrometry Studies
1.40
article

Identification of energy metabolism anomalies and serum biomarkers in the progression of premature ovarian failure via extracellular vesicles’ proteomic and metabolomic profiles

Desheng Lu, Zhengdong Liao, Hongyu Zhao, Qi‐Lin Zhou, Liangge He, Sheng Yang, Wenchao Zheng, Zhen Liu, Yajing Cha
article en
6 citations

Abstract

Omics analysis revealed that inflammation, oxidative stress, and hormone imbalance are factors that damage ovarian tissue, but the progressive dysfunction of energy metabolism might be the critical pathogenic pathway contributing to the development of POF. AFM combined with 2-oxoarginine serves as a precise biomarker for clinical POF diagnosis.

Reproductive Biology and EndocrinologyVol. 22(1)
Shenzhen University (CN), Shenzhen Third People’s Hospital (CN)
Natural Science Foundation of Guangdong Province, Shenzhen Fundamental Research Program, Shenzhen Science and Technology Innovation Program
Zero hunger
Openalex Percentile: Top 19%
Metabolomics and Mass Spectrometry Studies
1.40
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Identification of energy metabolism anomalies and serum biomarkers in the progression of premature ovarian failure via extracellular vesicles’ proteomic and metabolomic profiles — Desheng Lu, Zhengdong Liao, et al. · Reproductive Biology and Endocrinology (2024) | TGRS Research Map | TGRS