ArticleInflammation2026
Combining Spatial Transcriptomics and Machine Learning Unravels Fibroblast-Related Biomarkers in Ulcerative Colitis.
Article in Inflammation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by persistent mucosal inflammation. While fibroblasts contribute to tissue repair and fibrosis, their role in UC pathogenesis remains incompletely understood. Single-cell RNA sequencing (GSE114374, GSE231993) and cell-cell communication analysis were performed to profile fibroblast interactions. Weighted Gene Co-expression Network Analysis (WGCNA) identified fibroblast-related modules. Machine learning models predicted diagnostic biomarkers. IF, ELISA and WB assays were used to validate the expression of ANGPTL2 in UC samples. In vivo validation using a DSS-induced UC mouse model evaluated ANGPTL2 expression and therapeutic response to GDC-0152. Spatial transcriptomics (GSE189184) was used to analyze tissue regionalization, cell-type spatial distribution, and the localized expression of ANGPTL2 and its colocalization with fibroblasts. Single-cell analysis identified fibroblasts as a key cell type in UC. WGCNA revealed a strong correlation between the turquoise module and fibroblast infiltration, with genes in this module enriched in pathways such as cytokine-cytokine receptor interaction and TNF signaling. Machine learning models identified PHLDA1 and ANGPTL2 as potential biomarkers with high diagnostic accuracy (AUC 0.935 and 0.917, respectively). Furthermore, exprimental analyses confirmed that ANGPTL2 was significantly upregulated in fibroblasts from UC patients, serum ELISA experiments demonstrated that ANGPTL2 was also significantly elevated in the serum of UC patients, supporting its potential as a non-invasive diagnostic indicator. In vivo experiments confirmed ANGPTL2 upregulation in DSS-treated mice, reversed by GDC-0152. Spatial transcriptomics partitioned UC tissue into 13 distinct regions, revealing prominent fibroblast distribution and markedly high ANGPTL2 expression with significant spatial colocalization with fibroblasts. Fibroblasts are central to UC pathogenesis, contributing to inflammation and fibrosis. ANGPTL2 is a promising diagnostic biomarker and potential therapeutic target in UC.
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