P097 Spatially resolved insights into fistulating Crohn's disease pathogenesis: Unveiling molecular heterogeneity
Bibliographic record
Abstract
Abstract Background Crohn's disease (CD) frequently results in fistula development in approximately 40% of patients due to sustained, transmural inflammation within the bowel wall. Despite advanced treatments, recurrence of fistulae affects one third of patients. Understanding its pathogenesis is crucial for targeted treatments, yet remains poorly defined. This study employs spatial transcriptomic and single-cell RNA-sequencing (scRNA-seq) technologies to characterise human fistulating CD tissue pathology. Methods Unbiased FFPE spatial transcriptomics (10x Visium) were applied to surgically resected, full-thickness (FT) tissue from 20 CD-associated fistulae cases and 15 controls. Subsequently, selected cases underwent further analysis using custom 500-plex MERFISH subcellular resolution spatial transcriptomics (Vizgen MERSCOPE). Additionally, a reference single-cell cohort encompassing patients with fistulating, stricturing, and inflammatory CD phenotypes, along with healthy controls, was generated. Optimisation of scRNA-seq for resected FT ileal tissue enabled the isolation and profiling of epithelial, immune, and stromal populations (10x Chromium). Computational analysis facilitated the spatial localisation of single-cell clusters enriched in fistula CD tissue, identifying key parameters linked to fistula development. Results The scRNA-seq data revealed diverse CD-specific cellular states adopted by intestinal fibroblasts, with IL11+ fibroblasts prominently expressing CD82, COL7A1, MMP1, CHI3L1, suggestive of pro-fibrotic signalling and regenerative morphogen pathways. This coincided with the expansion of a CD-specific subpopulation of pericytes (CCL19/CCL21) involved in leucocyte migration. Spatial profiling of CD fistula tracts by Visium and MERSCOPE unveiled an enrichment of key epithelial developmental transcription factors (e.g., GRHL3) and localised the pro-fibrotic signature displaying increased IL11 and MMP expression, along with perturbed WNT signalling within the fistula stroma. Active proliferation (HOPX, MKI67) was observed at the base of fistula tracts and within the stroma. Transcriptomic characterisation depicted a gradual loss in stem cell signature (LGR5, ASCL2, SMOC2) and supporting telocytes (POSTN) toward the leading edge of the fistula, signifying abnormal epithelium loss. Conclusion This pioneering study integrates multi-modal spatial transcriptomics and single-cell profiling to unveil the intricate cellular and molecular landscape in FT, fistulating CD pathology. Spatial analyses elucidate specific mechanisms involved in epithelial loss, stromal remodelling, and perturbed WNT signalling pathways within fistulating tissue, outlining a course of disrupted regenerative processes in fistulating CD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".