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September 10, 2025Human MutationOpen Access

Multiomics Identifies Potential Biomarkers in Ankylosing Spondylitis Bone Formation

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Authors

LYLu YangCBC. BoMCMeiqi Chen

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Overview

Multiomic analysis reveals key biomarkers and immune cell interactions in ankylosing spondylitis, suggesting novel therapeutic targets.

Key Points

  • Identified 33 differentially expressed genes with causal relationships to ankylosing spondylitis.
  • Machine learning highlighted five key genes (FUCA2, USP16, TTC16, COL9A2, RIOK1) as significant biomarkers.
  • Performed molecular docking with 14 treatment drugs, showing potential interactions with the identified AS feature genes.
  • Evaluation in a mouse model showed significant changes in biomarker gene expression related to bone formation.

Cite This Study

Yang et al. (2025) studied this question.

synapsesocial.com/papers/68c1c63654b1d3bfb60f215fhttps://doi.org/10.1155/humu/8771129
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Also Consider

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

  1. 1Genetic associations in ankylosing spondylitis: circulating proteins as drug targets and biomarkers2024 · 10 citations
  2. 2Multi-Omics Integration Identifies a Six-Gene Diagnostic Signature for Ankylosing Spondylitis via Metabolic–Immune Crosstalk2026
  3. 3Analysis of immune cell infiltration landscape and identification of diagnostic biomarkers in ankylosing spondylitis2025 · 1 citations
  4. 4Identification of novel protein biomarkers and therapeutic targets for ankylosing spondylitis using human circulating plasma proteomics and genome analysis2024 · 4 citations
  5. 5Integrated stress response genes as novel biomarkers and therapeutic targets in ankylosing spondylitis: a transcriptomic and Mendelian randomization study2026 · 1 citations