Multi-omics analyses uncover metabolic signatures and gene expression profiles of interstitial cystitis/bladder pain syndrome

Neurourol Urodyn. 2024 Mar;43(3):767-778. doi: 10.1002/nau.25418. Epub 2024 Feb 12.

Abstract

Background and objective: We explore molecular and metabolic pathways involved in interstitial cystitis (IC) with integrating multi-omics analysis for identifying potential diagnostic and therapeutic targets.

Methods: Mouse models of IC/bladder pain syndrome (BPS) were established by intraperitoneal injection of cyclophosphamide and bladder tissue samples were collected for metabolomics and transcriptome analysis.

Results: We found a total of 82 and 145 differential metabolites in positive ion modes and negative ion modes, respectively. Glycerophospholipid metabolism, choline metabolism in cancer, and nucleotide metabolism pathways were significantly enriched in the IC/BPS group. Transcriptome analysis demonstrated that 1069 upregulated genes and 1087 downregulated genes were detected. Importantly, the stronger enrichment for cell cycle pathway was observed in IC/BPS than that in normal bladder tissue, which may be involved in the process of bladder remodeling. Moreover, the inflammatory response and inflammatory factors related pathways were enriched in the IC/BPS group.

Conclusions: Our findings provide critical directions for further exploration of the molecular pathology underlying IC/BPS.

Keywords: interstitial cystitis/bladder pain syndrome; metabolomic analysis; molecular mechanisms; multi-omics analyses; transcriptome sequencing.

MeSH terms

  • Animals
  • Cystitis, Interstitial* / diagnosis
  • Gene Expression Profiling
  • Mice
  • Multiomics
  • Transcriptome
  • Urinary Bladder / metabolism