S1181 Guselkumab Decreases Key Cellular Inflammatory Processes Across Ileum and Colon Tissue in Crohn’s Disease
Bibliographic record
Abstract
Introduction: Crohn’s disease (CD) has significant heterogeneity in phenotypic disease expression, making it challenging to define molecular mechanisms associated with disease and response to therapy. Here we evaluate the cellular/molecular mechanism of guselkumab (GUS), an IL-23p19 subunit antagonist, in participants with CD from the GALAXI Ph2b study (NCT03466411). Methods: Serum samples were evaluated at baseline, Week (WK) 4 and WK12 for proinflammatory and effector cytokines from participants receiving intravenous (IV) GUS 200, 600, or 1200 mg induction therapy (n=131 combined) or placebo (PBO; n=44) with ≥1 paired sample at WK0 with WK4 or WK12. A subset of participants with ileal narrowing or history of stricture were evaluated for collagen formation and degradation serum biomarkers. Transcriptional profiling was performed with bulk RNA sequencing (RNAseq) in rectum (R), splenic flexure (SF), and terminal ileum (TI) samples (n=241 at baseline). An objective tissue-based Molecular Activity Score (MAS) was used to identify inflamed samples. Inflamed tissue (GUS n=140; PBO n=51) was used to assess regional molecular profiles which were correlated with paired Global Histologic Activity Score (GHAS) and Simple Endoscopic Score for CD (SES-CD). Transcriptional modules using published single cell RNAseq data were used to assess changes in baseline inflamed tissue associated with specific cellular/immune processes at WK12. Results: Local MAS per region showed highest correlations with paired GHAS from adjacent biopsies (R 0.72; SF 0.63; TI 0.70), followed by SES-CD in local segments (R 0.69; TI 0.58). Compared with PBO at WK12, GUS reduced ileum and colon RNA expression levels of IL-17A, IL-22, and IFNγ at WK12 (P≤0.05). GUS significantly decreased cellular processes associated with epithelial inflammation, inflammatory fibroblast, myeloid biology, interferon response, and the IL-23 pathway. Regional molecular change was greatest in colon, followed by rectum and ileum. Serum collagen degradation biomarker C4M and the C3M/PRO-C3 ratio were associated with ileal narrowing and history of stricture at baseline (P≤0.001). GUS reduced serum SAA, C-reactive protein, and IL-22 as early as WK4 (P≤0.01) which further declined through WK12 (SAA, CRP, IL-6, IFNγ, IL-22, IL-17A; P≤0.001). Conclusion: GUS treatment attenuated key proinflammatory and effector cytokines associated with the IL-23 pathway in CD. Tissue transcriptomics showed attenuation of key immune/inflammatory processes across all tissue regions with GUS vs PBO.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".