Integrated identification of immune-related therapeutic targets for interstitial cystitis via multi-algorithm machine learning: transcriptomic profiling and in vivo experimental validation

Integrated identification of immune-related therapeutic targets for interstitial cystitis via multi-algorithm machine learning: transcriptomic profiling and in vivo experimental validation

BackgroundInterstitial cystitis/bladder pain syndrome (IC/BPS) is a complex urological disorder characterized by chronic pelvic pain and urinary dysfunction, with limited diagnostic biomarkers and therapeutic options. Emerging evidence implicates immune microenvironment dysregulation in its pathogen...

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Bibliographic Details
Main Authors: Yifan Wang, Chuanzan Zhou, Facai Zhang, Yunkai Yang, Jia Miao, Xuanhan Hu, Xinyu Zhang, Alin Ji, Qi Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Immunology
Subjects:
interstitial cystitis
machine learning
single-cell analysis
molecular dynamics simulation
in vivo experiment
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2025.1636855/full
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https://www.frontiersin.org/articles/10.3389/fimmu.2025.1636855/full

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