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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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. |
format | Online Article Text |
id | pubmed-9334733 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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