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Metabolic signatures in human follicular fluid identify lysophosphatidylcholine as a predictor of follicular development

In order to investigate the metabolic characteristics of human follicular fluid (FF) and to reveal potential metabolic predictors of follicular development (FD) with clinical implications, we analyzed a total of 452 samples based on a two-stage study design. In the first stage, FF samples from both...

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Autores principales: Yang, Jihong, Li, Yangbai, Li, Suying, Zhang, Yan, Feng, Ruizhi, Huang, Rui, Chen, Minjian, Qian, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334733/
https://www.ncbi.nlm.nih.gov/pubmed/35906399
http://dx.doi.org/10.1038/s42003-022-03710-4
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author Yang, Jihong
Li, Yangbai
Li, Suying
Zhang, Yan
Feng, Ruizhi
Huang, Rui
Chen, Minjian
Qian, Yun
author_facet Yang, Jihong
Li, Yangbai
Li, Suying
Zhang, Yan
Feng, Ruizhi
Huang, Rui
Chen, Minjian
Qian, Yun
author_sort Yang, Jihong
collection PubMed
description In order to investigate the metabolic characteristics of human follicular fluid (FF) and to reveal potential metabolic predictors of follicular development (FD) with clinical implications, we analyzed a total of 452 samples based on a two-stage study design. In the first stage, FF samples from both large follicles (LFs) and matched-small follicles (SFs) of 26 participants were analyzed with wide-spectrum targeted metabolomics. The metabolic signatures were described by multi-omics integration technology including metabolomic data and transcriptomic data. In the second stage, the potential biomarkers of FD were verified using enzyme-linked immunoassay with FF and blood serum from an independent 200 participants. We describe the FF metabolic signatures from ovarian follicles of different developmental stages. Lysophosphatidylcholine (LPC) can be used as a biomarker of FD and ovarian sensitivity, advancing the knowledge of metabolic regulation during FD and offering potential detection and therapeutic targets for follicle and oocyte health improvements in humans.
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spelling pubmed-93347332022-07-29 Metabolic signatures in human follicular fluid identify lysophosphatidylcholine as a predictor of follicular development Yang, Jihong Li, Yangbai Li, Suying Zhang, Yan Feng, Ruizhi Huang, Rui Chen, Minjian Qian, Yun Commun Biol Article In order to investigate the metabolic characteristics of human follicular fluid (FF) and to reveal potential metabolic predictors of follicular development (FD) with clinical implications, we analyzed a total of 452 samples based on a two-stage study design. In the first stage, FF samples from both large follicles (LFs) and matched-small follicles (SFs) of 26 participants were analyzed with wide-spectrum targeted metabolomics. The metabolic signatures were described by multi-omics integration technology including metabolomic data and transcriptomic data. In the second stage, the potential biomarkers of FD were verified using enzyme-linked immunoassay with FF and blood serum from an independent 200 participants. We describe the FF metabolic signatures from ovarian follicles of different developmental stages. Lysophosphatidylcholine (LPC) can be used as a biomarker of FD and ovarian sensitivity, advancing the knowledge of metabolic regulation during FD and offering potential detection and therapeutic targets for follicle and oocyte health improvements in humans. Nature Publishing Group UK 2022-07-29 /pmc/articles/PMC9334733/ /pubmed/35906399 http://dx.doi.org/10.1038/s42003-022-03710-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Yang, Jihong
Li, Yangbai
Li, Suying
Zhang, Yan
Feng, Ruizhi
Huang, Rui
Chen, Minjian
Qian, Yun
Metabolic signatures in human follicular fluid identify lysophosphatidylcholine as a predictor of follicular development
title Metabolic signatures in human follicular fluid identify lysophosphatidylcholine as a predictor of follicular development
title_full Metabolic signatures in human follicular fluid identify lysophosphatidylcholine as a predictor of follicular development
title_fullStr Metabolic signatures in human follicular fluid identify lysophosphatidylcholine as a predictor of follicular development
title_full_unstemmed Metabolic signatures in human follicular fluid identify lysophosphatidylcholine as a predictor of follicular development
title_short Metabolic signatures in human follicular fluid identify lysophosphatidylcholine as a predictor of follicular development
title_sort metabolic signatures in human follicular fluid identify lysophosphatidylcholine as a predictor of follicular development
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334733/
https://www.ncbi.nlm.nih.gov/pubmed/35906399
http://dx.doi.org/10.1038/s42003-022-03710-4
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