卵巢反应差的不孕症患者卵泡液的非靶向代谢组学分析

IF 3.9 2区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Frontiers in Endocrinology Pub Date : 2025-05-12 eCollection Date: 2025-01-01 DOI:10.3389/fendo.2025.1547550
Liang Guo, Jiaming Song, Xiyang Xia, Jianya Jiang, Yingying Yang, Wei Chen, Li Chen, Pingping Xue
{"title":"卵巢反应差的不孕症患者卵泡液的非靶向代谢组学分析","authors":"Liang Guo, Jiaming Song, Xiyang Xia, Jianya Jiang, Yingying Yang, Wei Chen, Li Chen, Pingping Xue","doi":"10.3389/fendo.2025.1547550","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Poor ovarian response (POR) is a pathological condition characterized by inadequate ovarian response to gonadotropin stimulation in patients undergoing <i>in vitro</i> fertilization and embryo transfer. It represents a primary cause of failure in many assisted reproductive technology treatments. Utilizing non-targeted metabolomics technology applied to follicular fluid, this research aims to elucidate the metabolic characteristics associated with POR, explore the underlying molecular mechanisms, and identify potential biomarkers. By analyzing metabolic factors that influence oocyte quality, we aspire to provide insights for the early detection and intervention of patients with POR.</p><p><strong>Methods: </strong>In this research, 60 follicular fluid samples were collected for a non-targeted metabolomic study, including 30 samples from POR patients and 30 from women with normal ovarian reserve. The orthogonal partial least squares discriminant analysis model was employed to discern separation trends between the two groups. Pathway enrichment analysis was performed using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Additionally, random forest and logistic regression models were utilized to identify biomarkers indicative of POR within the follicular fluid.</p><p><strong>Results: </strong>Based on data from the Human Metabolome Database, our metabolomic analysis identified 40 differential metabolites associated with POR, including 18 up-regulated and 22 down-regulated metabolites. KEGG pathway analysis revealed that these metabolites predominantly participate in glycerophospholipid metabolism, choline metabolism in cancer, autophagy processes. Notably, perillyl aldehyde emerged as a potential biomarker for POR.</p><p><strong>Conclusions: </strong>This study represents the first comprehensive examination of metabolic alterations in follicular fluid among patients with POR using non-targeted metabolomics technology. We have identified significant metabolic changes within the follicular fluid of individuals affected by POR which may offer valuable insights into therapeutic strategies for managing this condition as well as improving outcomes in assisted reproductive technologies.</p>","PeriodicalId":12447,"journal":{"name":"Frontiers in Endocrinology","volume":"16 ","pages":"1547550"},"PeriodicalIF":3.9000,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12104088/pdf/","citationCount":"0","resultStr":"{\"title\":\"Non-targeted metabolomic analysis of follicular fluid in infertile individuals with poor ovarian response.\",\"authors\":\"Liang Guo, Jiaming Song, Xiyang Xia, Jianya Jiang, Yingying Yang, Wei Chen, Li Chen, Pingping Xue\",\"doi\":\"10.3389/fendo.2025.1547550\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Poor ovarian response (POR) is a pathological condition characterized by inadequate ovarian response to gonadotropin stimulation in patients undergoing <i>in vitro</i> fertilization and embryo transfer. It represents a primary cause of failure in many assisted reproductive technology treatments. Utilizing non-targeted metabolomics technology applied to follicular fluid, this research aims to elucidate the metabolic characteristics associated with POR, explore the underlying molecular mechanisms, and identify potential biomarkers. By analyzing metabolic factors that influence oocyte quality, we aspire to provide insights for the early detection and intervention of patients with POR.</p><p><strong>Methods: </strong>In this research, 60 follicular fluid samples were collected for a non-targeted metabolomic study, including 30 samples from POR patients and 30 from women with normal ovarian reserve. The orthogonal partial least squares discriminant analysis model was employed to discern separation trends between the two groups. Pathway enrichment analysis was performed using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Additionally, random forest and logistic regression models were utilized to identify biomarkers indicative of POR within the follicular fluid.</p><p><strong>Results: </strong>Based on data from the Human Metabolome Database, our metabolomic analysis identified 40 differential metabolites associated with POR, including 18 up-regulated and 22 down-regulated metabolites. KEGG pathway analysis revealed that these metabolites predominantly participate in glycerophospholipid metabolism, choline metabolism in cancer, autophagy processes. Notably, perillyl aldehyde emerged as a potential biomarker for POR.</p><p><strong>Conclusions: </strong>This study represents the first comprehensive examination of metabolic alterations in follicular fluid among patients with POR using non-targeted metabolomics technology. We have identified significant metabolic changes within the follicular fluid of individuals affected by POR which may offer valuable insights into therapeutic strategies for managing this condition as well as improving outcomes in assisted reproductive technologies.</p>\",\"PeriodicalId\":12447,\"journal\":{\"name\":\"Frontiers in Endocrinology\",\"volume\":\"16 \",\"pages\":\"1547550\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12104088/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Endocrinology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3389/fendo.2025.1547550\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Endocrinology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fendo.2025.1547550","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

摘要

背景:卵巢反应不良(POR)是体外受精和胚胎移植患者卵巢对促性腺激素刺激反应不足的一种病理状态。它是许多辅助生殖技术治疗失败的主要原因。利用应用于卵泡液的非靶向代谢组学技术,本研究旨在阐明与POR相关的代谢特征,探索潜在的分子机制,并识别潜在的生物标志物。通过分析影响卵母细胞质量的代谢因素,我们希望为POR患者的早期发现和干预提供见解。方法:本研究收集60份卵泡液样本进行非靶向代谢组学研究,其中30份来自POR患者,30份来自卵巢储备正常的女性。采用正交偏最小二乘判别分析模型判别两组间的分离趋势。通路富集分析使用京都基因与基因组百科全书(KEGG)数据库进行。此外,使用随机森林和逻辑回归模型来识别卵泡液中指示POR的生物标志物。结果:基于人类代谢组数据库的数据,我们的代谢组学分析确定了40种与POR相关的差异代谢物,包括18种上调代谢物和22种下调代谢物。KEGG通路分析显示,这些代谢物主要参与肿瘤中甘油磷脂代谢、胆碱代谢、自噬过程。值得注意的是,紫苏醛成为一种潜在的POR生物标志物。结论:本研究首次使用非靶向代谢组学技术对POR患者卵泡液代谢改变进行了全面检查。我们已经确定了受POR影响的个体的卵泡液中显著的代谢变化,这可能为管理这种情况的治疗策略以及改善辅助生殖技术的结果提供有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-targeted metabolomic analysis of follicular fluid in infertile individuals with poor ovarian response.

Background: Poor ovarian response (POR) is a pathological condition characterized by inadequate ovarian response to gonadotropin stimulation in patients undergoing in vitro fertilization and embryo transfer. It represents a primary cause of failure in many assisted reproductive technology treatments. Utilizing non-targeted metabolomics technology applied to follicular fluid, this research aims to elucidate the metabolic characteristics associated with POR, explore the underlying molecular mechanisms, and identify potential biomarkers. By analyzing metabolic factors that influence oocyte quality, we aspire to provide insights for the early detection and intervention of patients with POR.

Methods: In this research, 60 follicular fluid samples were collected for a non-targeted metabolomic study, including 30 samples from POR patients and 30 from women with normal ovarian reserve. The orthogonal partial least squares discriminant analysis model was employed to discern separation trends between the two groups. Pathway enrichment analysis was performed using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Additionally, random forest and logistic regression models were utilized to identify biomarkers indicative of POR within the follicular fluid.

Results: Based on data from the Human Metabolome Database, our metabolomic analysis identified 40 differential metabolites associated with POR, including 18 up-regulated and 22 down-regulated metabolites. KEGG pathway analysis revealed that these metabolites predominantly participate in glycerophospholipid metabolism, choline metabolism in cancer, autophagy processes. Notably, perillyl aldehyde emerged as a potential biomarker for POR.

Conclusions: This study represents the first comprehensive examination of metabolic alterations in follicular fluid among patients with POR using non-targeted metabolomics technology. We have identified significant metabolic changes within the follicular fluid of individuals affected by POR which may offer valuable insights into therapeutic strategies for managing this condition as well as improving outcomes in assisted reproductive technologies.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Frontiers in Endocrinology
Frontiers in Endocrinology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
5.70
自引率
9.60%
发文量
3023
审稿时长
14 weeks
期刊介绍: Frontiers in Endocrinology is a field journal of the "Frontiers in" journal series. In today’s world, endocrinology is becoming increasingly important as it underlies many of the challenges societies face - from obesity and diabetes to reproduction, population control and aging. Endocrinology covers a broad field from basic molecular and cellular communication through to clinical care and some of the most crucial public health issues. The journal, thus, welcomes outstanding contributions in any domain of endocrinology. Frontiers in Endocrinology publishes articles on the most outstanding discoveries across a wide research spectrum of Endocrinology. The mission of Frontiers in Endocrinology is to bring all relevant Endocrinology areas together on a single platform.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信