Yichuan Wang,Liang Zhou,Jiahao Liu,Qing Zhou,Wei Xiong,Long Wang
{"title":"Elucidating Cellular Senescence-related Genes in Benign Prostatic Hyperplasia through Mendelian Randomization and Single-cell RNA Sequencing.","authors":"Yichuan Wang,Liang Zhou,Jiahao Liu,Qing Zhou,Wei Xiong,Long Wang","doi":"10.1093/gerona/glaf073","DOIUrl":null,"url":null,"abstract":"BACKGROUND\r\nBenign prostatic hyperplasia (BPH) is a widely observed disorder in older men, with substantial evidence indicating that cellular senescence serves a pivotal function in its progression. This investigation seeks to pinpoint cellular senescence-related genes causally connected with BPH and to examine their expression and regulatory networks across distinct prostate cells.\r\n\r\nMETHODS\r\nUsing exposure data from the eQTLGen database and outcome data from both FinnGen Consortium and UKB database, Mendelian randomization (MR) was utilized to determine cell senescence genes that are causally linked to BPH. These associations were further validated through co-localization analysis. Expression patterns of these genes in different prostate cells were assessed via single-cell RNA sequencing (scRNA-seq), and changes along pseudotime were tracked. Regulatory networks were evaluated using SCENIC to identify key transcription factors involved.\r\n\r\nRESULTS\r\nSix cell senescence genes causally linked to BPH were identified through MR. ATM, ATRAID, MAP2K1, and TP53 were identified as protective factors, whereas ITPR1 and SENP7 were associated with increased risk. Co-localization analysis suggested that ATM and TP53 are likely to share the same variant implicated in BPH. MAP2K1 expression demonstrated a steady decline along inferred pseudotime across fibroblasts, macrophages, T cells, and epithelial cells, while the remaining five genes exhibited an opposite trend. ATF3, EGR1, and FOS were pinpointed as the core transcription factors regulating these genes.\r\n\r\nCONCLUSIONS\r\nThese observations emphasize consistent expression patterns among different prostate cell types and suggest a highly interconnected regulatory network that underpins BPH pathology, thereby providing fresh perspectives on the molecular mechanisms underlying the disease.","PeriodicalId":22892,"journal":{"name":"The Journals of Gerontology Series A: Biological Sciences and Medical Sciences","volume":"79 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journals of Gerontology Series A: Biological Sciences and Medical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/gerona/glaf073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
BACKGROUND
Benign prostatic hyperplasia (BPH) is a widely observed disorder in older men, with substantial evidence indicating that cellular senescence serves a pivotal function in its progression. This investigation seeks to pinpoint cellular senescence-related genes causally connected with BPH and to examine their expression and regulatory networks across distinct prostate cells.
METHODS
Using exposure data from the eQTLGen database and outcome data from both FinnGen Consortium and UKB database, Mendelian randomization (MR) was utilized to determine cell senescence genes that are causally linked to BPH. These associations were further validated through co-localization analysis. Expression patterns of these genes in different prostate cells were assessed via single-cell RNA sequencing (scRNA-seq), and changes along pseudotime were tracked. Regulatory networks were evaluated using SCENIC to identify key transcription factors involved.
RESULTS
Six cell senescence genes causally linked to BPH were identified through MR. ATM, ATRAID, MAP2K1, and TP53 were identified as protective factors, whereas ITPR1 and SENP7 were associated with increased risk. Co-localization analysis suggested that ATM and TP53 are likely to share the same variant implicated in BPH. MAP2K1 expression demonstrated a steady decline along inferred pseudotime across fibroblasts, macrophages, T cells, and epithelial cells, while the remaining five genes exhibited an opposite trend. ATF3, EGR1, and FOS were pinpointed as the core transcription factors regulating these genes.
CONCLUSIONS
These observations emphasize consistent expression patterns among different prostate cell types and suggest a highly interconnected regulatory network that underpins BPH pathology, thereby providing fresh perspectives on the molecular mechanisms underlying the disease.