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November 20, 2025Frontiers in Molecular BiosciencesOpen Access

Multi-omics integration analysis based on plasma circulating proteins reveals potential therapeutic targets for ulcerative colitis

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Authors

JZJihai ZhouWZWenwen ZhaoYLYiping Lin

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Overview

Machine learning identifies key therapeutic targets in ulcerative colitis, suggesting novel diagnostic biomarkers for improved treatment outcomes.

Key Points

  • This research seeks to uncover diagnostic and therapeutic biomarkers for ulcerative colitis through multi-omics integration.
  • Integrated data from Gene Expression Omnibus and genome-wide association studies
  • Employed three machine learning algorithms to identify core hub genes
  • Constructed and validated a diagnostic model
  • Conducted single-cell sequencing for gene expression profiles
  • Analyzed immune infiltration and regulatory networks
  • Identified 168 plasma proteins causally associated with ulcerative colitis
  • Found 1,011 differentially expressed genes with 12 overlapping genes
  • Established a nomogram model demonstrating strong predictive performance
  • Reported significant differences in immune cell infiltration between uc and normal tissues

Cite This Study

Zhou et al. (2025) studied this question.

synapsesocial.com/papers/6924e405c0ce034ddc34f9d4https://doi.org/10.3389/fmolb.2025.1686282
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Multi‐Omics Framework Integrating Genetics, Microbiome, Metabolism, and Immunity for Deciphering Ulcerative Colitis Pathogenesis and Diagnostic Biomarker Discovery2026
  2. 2Identification of potential biomarkers for ulcerative colitis based on multidimensional data analysis and investigation of the mechanisms of therapeutic effects2026
  3. 3Unveiling the Cellular and Molecular Insights into Ulcerative ColitisPathogenesis through Integrative Multi-omics and Functional Experiments2026
  4. 4Integrating plasma proteomics with genome-wide association data to identify novel drug targets for inflammatory bowel disease2024 · 4 citations
  5. 5Exploration and verification a 13-gene diagnostic framework for ulcerative colitis across multiple platforms via machine learning algorithms2024 · 2 citations