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Integrated lipid metabolomics and proteomics analysis reveal the pathogenesis of polycystic ovary syndrome
by
Gao, Mengya
, Liu, Li
, Nie, Xiaowei
, Qian, Yu
, Huang, Jingyu
, Hong, Yanli
, Liu, Kailu
, Xie, Ying
, Zhao, Juan
, Tong, Yun
, Zeng, Yaqiong
, Chen, Juan
in
Analysis
/ Biomarker
/ Biomarkers - metabolism
/ Biomedical and Life Sciences
/ Biomedicine
/ Care and treatment
/ Complications and side effects
/ Female
/ Follicular fluid
/ Follicular Fluid - chemistry
/ Follicular Fluid - metabolism
/ Granulosa cells
/ Humans
/ Lipid metabolomics
/ Lipids
/ Medicine/Public Health
/ Metabolomics
/ Polycystic Ovary Syndrome
/ Proteomics
/ Reproductive Medicine & Clinical Reproductive Sciences
/ Stein-Leventhal syndrome
2024
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Integrated lipid metabolomics and proteomics analysis reveal the pathogenesis of polycystic ovary syndrome
by
Gao, Mengya
, Liu, Li
, Nie, Xiaowei
, Qian, Yu
, Huang, Jingyu
, Hong, Yanli
, Liu, Kailu
, Xie, Ying
, Zhao, Juan
, Tong, Yun
, Zeng, Yaqiong
, Chen, Juan
in
Analysis
/ Biomarker
/ Biomarkers - metabolism
/ Biomedical and Life Sciences
/ Biomedicine
/ Care and treatment
/ Complications and side effects
/ Female
/ Follicular fluid
/ Follicular Fluid - chemistry
/ Follicular Fluid - metabolism
/ Granulosa cells
/ Humans
/ Lipid metabolomics
/ Lipids
/ Medicine/Public Health
/ Metabolomics
/ Polycystic Ovary Syndrome
/ Proteomics
/ Reproductive Medicine & Clinical Reproductive Sciences
/ Stein-Leventhal syndrome
2024
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Integrated lipid metabolomics and proteomics analysis reveal the pathogenesis of polycystic ovary syndrome
by
Gao, Mengya
, Liu, Li
, Nie, Xiaowei
, Qian, Yu
, Huang, Jingyu
, Hong, Yanli
, Liu, Kailu
, Xie, Ying
, Zhao, Juan
, Tong, Yun
, Zeng, Yaqiong
, Chen, Juan
in
Analysis
/ Biomarker
/ Biomarkers - metabolism
/ Biomedical and Life Sciences
/ Biomedicine
/ Care and treatment
/ Complications and side effects
/ Female
/ Follicular fluid
/ Follicular Fluid - chemistry
/ Follicular Fluid - metabolism
/ Granulosa cells
/ Humans
/ Lipid metabolomics
/ Lipids
/ Medicine/Public Health
/ Metabolomics
/ Polycystic Ovary Syndrome
/ Proteomics
/ Reproductive Medicine & Clinical Reproductive Sciences
/ Stein-Leventhal syndrome
2024
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Integrated lipid metabolomics and proteomics analysis reveal the pathogenesis of polycystic ovary syndrome
Journal Article
Integrated lipid metabolomics and proteomics analysis reveal the pathogenesis of polycystic ovary syndrome
2024
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Overview
Background
Polycystic ovary syndrome (PCOS) is an endocrinological and metabolic disorder that can lead to female infertility. Lipid metabolomics and proteomics are the new disciplines in systems biology aimed to discover metabolic pathway changes in diseases and diagnosis of biomarkers. This study aims to reveal the features of PCOS to explore its pathogenesis at the protein and metabolic level.
Methods
We collected follicular fluid samples and granulosa cells of women with PCOS and normal women who underwent in vitro fertilization(IVF) and embryo transfer were recruited. The samples were for the lipidomic study and the proteomic study based on the latest metabolomics and proteomics research platform.
Results
Lipid metabolomic analysis revealed abnormal metabolism of glycerides, glycerophospholipids, and sphingomyelin in the FF of PCOS. Differential lipids were strongly linked with the rate of high-quality embryos. In total, 144 differentially expressed proteins were screened in ovarian granulosa cells in women with PCOS compared to controls. Go functional enrichment analysis showed that differential proteins were associated with blood coagulation and lead to follicular development disorders.
Conclusion
The results showed that the differential lipid metabolites and proteins in PCOS were closely related to follicle quality,which can be potential biomarkers for oocyte maturation and ART outcomes.
Publisher
BioMed Central,BioMed Central Ltd,BMC
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