Evidence map›Paper›PMID 42707758›Full record

ArticleJournal of inflammation research2026

Integrative Machine Learning and Single-Cell RNA Sequencing Reveals Timp1+ Stromal Cells as Key Drivers in Ulcerative Colitis.

Xiaosong Xu, Lipeng Du, Ze Li, Xuemei Jia, Yao Du, Qian Yang, Yanru Cai

Abstract read
In one paragraph

Article in Journal of inflammation research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xiaosong XuResearch Center, Hebei Provincial Hospital of Chinese Medicine, Shijiazhuang, Hebei, 050011, People's Republic of China.ORCID 0009-0006-1266-2919
Lipeng DuResearch Center, Hebei Provincial Hospital of Chinese Medicine, Shijiazhuang, Hebei, 050011, People's Republic of China.
Ze LiDepartment of Spleen and Stomach Diseases, Hebei Provincial Hospital of Chinese Medicine, Shijiazhuang, Hebei, 050011, People's Republic of China.
Xuemei JiaDepartment of Spleen and Stomach Diseases, Hebei Provincial Hospital of Chinese Medicine, Shijiazhuang, Hebei, 050011, People's Republic of China.
Yao DuDepartment of Spleen and Stomach Diseases, Hebei Provincial Hospital of Chinese Medicine, Shijiazhuang, Hebei, 050011, People's Republic of China.
Qian YangDepartment of Spleen and Stomach Diseases, Hebei Provincial Hospital of Chinese Medicine, Shijiazhuang, Hebei, 050011, People's Republic of China.ORCID 0000-0002-1028-7899
Yanru CaiDepartment of Spleen and Stomach Diseases, Hebei Provincial Hospital of Chinese Medicine, Shijiazhuang, Hebei, 050011, People's Republic of China.ORCID 0009-0008-7405-5377

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ulcerative colitis (UC) is a chronic relapsing inflammatory bowel disease (IBD). The role of stromal cells in UC pathogenesis is increasingly being recognized, yet their functional subsets and underlying molecular mechanisms remain poorly defined. Objective: To integrate multiple transcriptomic datasets, combined weighted gene co-expression network analysis (WGCNA) with machine learning algorithms for the identification of robust core biomarkers of UC and to resolve the cell-subset-specific expression and pathogenic mechanisms of candidate genes using single-cell RNA sequencing (scRNA-seq). Methods: Three GEO datasets (GSE38713, GSE3365, and GSE24287) were merged after batch correction. WGCNA, together with five machine learning algorithms, LASSO, random forest, Boruta, gradient boosting machine, and XGBoost, were applied to screen for core genes. External validation was performed using two independent datasets, GSE92415 and GSE179285, and a DSS- of DSS-induced chronic colitis. The cell- subset-specific expression and mechanisms of candidate genes were dissected by scRNA- sequencing. Results: Three core genes, TIMP1, S100A12, and ALPL, were identified. External validation showed that TIMP1 and S100A12 were consistently upregulated in both independent datasets, whereas ALPL was significantly upregulated in GSE92415, but not in GSE179285. TIMP1 was selected for further investigation based on its differential significance. In the DSS-induced chronic colitis mouse model, the area of Timp1-positive colon tissue increased by 2.3-fold compared to in the controls. scRNA-seq revealed that Timp1 was specifically enriched in a stromal cell subset of the mouse colon. Pseudotime trajectory analysis indicated that Timp1⁺ stromal cells predominantly localized to late differentiation stages, with their expression dynamics undergoing a sequential transition from matrix remodeling and angiogenesis to immune regulation. Cell-cell communication analysis further identified the enrichment of the Ppia-Bsg signaling axis between Timp1⁺ stromal cells and epithelial cells. Conclusion: Timp1 was specifically enriched in a colonic stromal cell subset in UC mice, and this subset exhibited a shifted differentiation trajectory and enhanced communication with epithelial cells. These findings provide candidate targets for the molecular diagnosis of UC and highlight the translational potential of targeting Timp1⁺ stromal cells or their downstream signaling pathways for stromal-directed therapeutic intervention.

Indexed as

machine learningsingle-cell RNA sequencingstromal cellsTIMP1tissue inhibitor of metalloproteasesulcerative colitisWGCNA analysis

Identifiers

PMID42707758
PMCPMC13549397

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.