Hangjing Tan, Jing Zhao, Baisheng Wang, Yanping Li
{"title":"警告卵巢早衰的无创标记物:孟德尔随机研究。","authors":"Hangjing Tan, Jing Zhao, Baisheng Wang, Yanping Li","doi":"10.1186/s13048-025-01696-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Early diagnosis and early delivery are the main strategies for the treatment of premature ovarian insufficiency (POI). However, POI warning markers, especially those that can be detected through noninvasive methods, are very limited; therefore, the identification of noninvasive markers for POI is urgent.</p><p><strong>Methods: </strong>We acquired POI GWAS summary statistics from the FinnGen database. The metabolome, circulating plasma proteins, gut microbiota, immunophenotypes, circulating microRNAs (miRNAs), and two proteomes were obtained for two-sample Mendelian randomization (MR). Specifically, we employed inverse variance weighted (IVW) as the main method to calculate the MR effect estimates. eQTL data (from the eQTLGen Consortium) were employed for SMR. Hub genes were identified using the String database and Cytoscape software. Potential mechanisms of POI were identified via pathway enrichment analysis of the identified genes and miRNAs.</p><p><strong>Results: </strong>Three metabolites (sphinganine-1-phosphate levels, X-23636 levels, 4-methyl-2-oxopentanoate levels), two circulating plasma proteins (fibroblast growth factor 23 levels, neurotrophin-3 levels), one gut microbiota (faecalibacterium abundance), one immunophenotype (HVEM on naive CD8 + T cells), 23 miRNAs (miR-500a-3p, miR-555, miR-584-5p, miR-642a-5p, miR-671-3p, miR-1324, miR-6870-3p, miR-1468-5p, miR-146a-3p, miR-221-3p, miR-3121-5p, miR-3184-3p, miR-3185, miR-335-5p, miR-4302, miR-4506, miR-6808-5p, miR-6894-5p, miR-145-5p, miR-149-3p, miR-23a-3p, miR-3141, and miR-374b-5p), and three hub genes (ESR1, ERBB2, and GART) serve as warning markers for POI. Enrichment analysis indicated that pathways such as glutathione metabolism and the PI3 kinase pathway may be involved in mechanisms regulating POI.</p><p><strong>Conclusion: </strong>Our results are the first to identify noninvasive predictors for POI via MR, providing contributions for early warning and fertility guidance for clinical POI patients.</p>","PeriodicalId":16610,"journal":{"name":"Journal of Ovarian Research","volume":"18 1","pages":"127"},"PeriodicalIF":3.8000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12150474/pdf/","citationCount":"0","resultStr":"{\"title\":\"Noninvasive markers for warning premature ovarian insufficiency: a Mendelian randomisation study.\",\"authors\":\"Hangjing Tan, Jing Zhao, Baisheng Wang, Yanping Li\",\"doi\":\"10.1186/s13048-025-01696-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Early diagnosis and early delivery are the main strategies for the treatment of premature ovarian insufficiency (POI). However, POI warning markers, especially those that can be detected through noninvasive methods, are very limited; therefore, the identification of noninvasive markers for POI is urgent.</p><p><strong>Methods: </strong>We acquired POI GWAS summary statistics from the FinnGen database. The metabolome, circulating plasma proteins, gut microbiota, immunophenotypes, circulating microRNAs (miRNAs), and two proteomes were obtained for two-sample Mendelian randomization (MR). Specifically, we employed inverse variance weighted (IVW) as the main method to calculate the MR effect estimates. eQTL data (from the eQTLGen Consortium) were employed for SMR. Hub genes were identified using the String database and Cytoscape software. Potential mechanisms of POI were identified via pathway enrichment analysis of the identified genes and miRNAs.</p><p><strong>Results: </strong>Three metabolites (sphinganine-1-phosphate levels, X-23636 levels, 4-methyl-2-oxopentanoate levels), two circulating plasma proteins (fibroblast growth factor 23 levels, neurotrophin-3 levels), one gut microbiota (faecalibacterium abundance), one immunophenotype (HVEM on naive CD8 + T cells), 23 miRNAs (miR-500a-3p, miR-555, miR-584-5p, miR-642a-5p, miR-671-3p, miR-1324, miR-6870-3p, miR-1468-5p, miR-146a-3p, miR-221-3p, miR-3121-5p, miR-3184-3p, miR-3185, miR-335-5p, miR-4302, miR-4506, miR-6808-5p, miR-6894-5p, miR-145-5p, miR-149-3p, miR-23a-3p, miR-3141, and miR-374b-5p), and three hub genes (ESR1, ERBB2, and GART) serve as warning markers for POI. Enrichment analysis indicated that pathways such as glutathione metabolism and the PI3 kinase pathway may be involved in mechanisms regulating POI.</p><p><strong>Conclusion: </strong>Our results are the first to identify noninvasive predictors for POI via MR, providing contributions for early warning and fertility guidance for clinical POI patients.</p>\",\"PeriodicalId\":16610,\"journal\":{\"name\":\"Journal of Ovarian Research\",\"volume\":\"18 1\",\"pages\":\"127\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12150474/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Ovarian Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s13048-025-01696-1\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"REPRODUCTIVE BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Ovarian Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13048-025-01696-1","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"REPRODUCTIVE BIOLOGY","Score":null,"Total":0}
Noninvasive markers for warning premature ovarian insufficiency: a Mendelian randomisation study.
Background: Early diagnosis and early delivery are the main strategies for the treatment of premature ovarian insufficiency (POI). However, POI warning markers, especially those that can be detected through noninvasive methods, are very limited; therefore, the identification of noninvasive markers for POI is urgent.
Methods: We acquired POI GWAS summary statistics from the FinnGen database. The metabolome, circulating plasma proteins, gut microbiota, immunophenotypes, circulating microRNAs (miRNAs), and two proteomes were obtained for two-sample Mendelian randomization (MR). Specifically, we employed inverse variance weighted (IVW) as the main method to calculate the MR effect estimates. eQTL data (from the eQTLGen Consortium) were employed for SMR. Hub genes were identified using the String database and Cytoscape software. Potential mechanisms of POI were identified via pathway enrichment analysis of the identified genes and miRNAs.
Results: Three metabolites (sphinganine-1-phosphate levels, X-23636 levels, 4-methyl-2-oxopentanoate levels), two circulating plasma proteins (fibroblast growth factor 23 levels, neurotrophin-3 levels), one gut microbiota (faecalibacterium abundance), one immunophenotype (HVEM on naive CD8 + T cells), 23 miRNAs (miR-500a-3p, miR-555, miR-584-5p, miR-642a-5p, miR-671-3p, miR-1324, miR-6870-3p, miR-1468-5p, miR-146a-3p, miR-221-3p, miR-3121-5p, miR-3184-3p, miR-3185, miR-335-5p, miR-4302, miR-4506, miR-6808-5p, miR-6894-5p, miR-145-5p, miR-149-3p, miR-23a-3p, miR-3141, and miR-374b-5p), and three hub genes (ESR1, ERBB2, and GART) serve as warning markers for POI. Enrichment analysis indicated that pathways such as glutathione metabolism and the PI3 kinase pathway may be involved in mechanisms regulating POI.
Conclusion: Our results are the first to identify noninvasive predictors for POI via MR, providing contributions for early warning and fertility guidance for clinical POI patients.
期刊介绍:
Journal of Ovarian Research is an open access, peer reviewed, online journal that aims to provide a forum for high-quality basic and clinical research on ovarian function, abnormalities, and cancer. The journal focuses on research that provides new insights into ovarian functions as well as prevention and treatment of diseases afflicting the organ.
Topical areas include, but are not restricted to:
Ovary development, hormone secretion and regulation
Follicle growth and ovulation
Infertility and Polycystic ovarian syndrome
Regulation of pituitary and other biological functions by ovarian hormones
Ovarian cancer, its prevention, diagnosis and treatment
Drug development and screening
Role of stem cells in ovary development and function.