ArticleJournal of advanced research2025
Comprehensive analysis of heterogeneity and cell-cell interactions in Crohn's disease reveals novel location-specific insights.
Article in Journal of advanced research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Lactobacillus johnsonii BS15 Alleviates Fluoride-Induced Intestinal Barrier Injury by Regulating the RhoA/ROCK-Mediated Cytoskeletal Remodeling.Probiotics and antimicrobial proteins · 2026Article
- Intestinal epithelial SETD2 maintains gut microbial homeostasis to attenuate colitis.Clinical and translational medicine · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIn Crohn's disease (CD), lesions are mainly distributed in a segmental manner, with the primary sites of involvement being the ileum and colon. Heterogeneity in colon and ileum results in location-specific clinical presentations and therapeutic responses. Mucosal healing tends to be more readily and quickly achieved in the colon than in the ileum, where lesions are more likely to develop into complex behaviors. The heterogeneity of colon and ileum in CD, which is essential for tailored therapeutic approaches, has not yet been systematically illustrated.
objectivesCD presents with unique intestinal lesions, mainly impacting the terminal ileum and colon. It is essential to comprehend the diversity in pathogenesis and treatment response among various segments.
methodsWe conducted comparative single-cell RNA sequencing analysis in treatment-naïve CD patients, concentrating on the colon and ileum.
resultsA novel subset of epithelial cells expressing high levels of DUOX2 and DUOXA2 (DUOX2-epi) was discovered. This DUOX2-epi subcluster predominantly distributed in the tip epithelium of the inflamed colon, potentially in response to microbial infection, as evidenced by the significant enrichment of inflammatory and microbial response pathways. The colonic and ileal DUOX2-epi subsets trigger inflammatory responses through distinct mechanisms. The colonic DUOX2-epi primarily affects monocytes via the SAA1-FPR2 ligand-receptor interaction, whereas the ileal DUOX2-epi directly interacts with regulate T cells through the CXCL16-CXCR6 ligand-receptor pair. Moreover, the cell-cell communication networks involving DUOX2-epi in the colon and ileum can help predict the location-specific effects of biological therapies.
conclusionThis study delves into the heterogeneity within the ileum and colon of Crohn's disease at the single-cell level, identifying a new epithelial subset DUOX2-epi. Predictive gene modules tailored to different locations for biological therapies are developed as well, based on the cell-cell communication network modulated by DUOX2-epi.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.