P0189 Microbial and Molecular Profiling of the appendix of pediatric patients with inflammatory bowel diseases
Bibliographic record
Abstract
Abstract Background Inflammatory bowel diseases (IBD), including Crohn disease (CD) and ulcerative colitis (UC), are chronic inflammatory conditions influenced by genetic, environmental, and microbial factors.1,2 Emerging evidence suggests a role for the appendix in IBD with immune and microbe impacts on the colon. Peri-appendicular patch (PAP) inflammation is observed in some UC patients; appendectomy has shown protective effects, reducing relapse and colectomy rates in UC.3,4 However, the mechanisms underlying these associations remain unclear. This study aims to explore these mechanisms by characterizing microbial species, molecular pathways, and host-microbiota interactions in the appendix of IBD patients. Methods Mucus from the appendix and non-inflamed colon of 10 pediatric IBD and 5 non-IBD patients undergoing elective surgical resection was collected for DNA and whole-genome sequencing. RNA and DNA from appendix tissues were used for RNA-seq and 16S rRNA sequencing, respectively. Metagenomic analysis was performed across all platforms. Fluorescence in-situ hybridization (FISH) and immunofluorescence defined localization. Results Proteobacteria were significantly enriched in IBD (mean = 27.23%±32%) compared to non-IBD mucus samples (mean = 1.6%±0.23%, p = 0.0052), with reduced bacterial diversity in the appendix of IBD patients. Differential abundance analysis revealed site-specific changes in MetaCyc pathways, notably in the IBD-appendix; for example, ABH and Lewis epitopes biosynthesis pathways were highly enriched in this organ. 38 of 50 MetaCyc pathways were linked to specific species, with E. coli contributing to 32 pathways. Immune and inflammatory pathways were significantly upregulated in the IBD-appendix. Strong correlations were observed between host tissue and microbial pathways in IBD mucus; for instance, Chondroitin Sulfate and Dermatan Sulfate Biosynthesis bacterial pathways were positively correlated with the upregulated host pathway Chemokine Receptors Bind Chemokines (Rho = 0.8851 and 0.88549, respectively), reflecting host-bacteria interaction in the appendix. Bacteria were observed in the mucus layer of IBD-appendix. Conclusion The appendix in IBD exhibits unique molecular and microbial features, offering key insights into its role in IBD pathogenesis and potential therapeutic avenues, reinforcing the efficacy of interventions such as appendectomy in UC. References 1.Wine E. Should we be treating the bugs instead of cytokines and T cells? Dig Dis. 2014;32(4):403-9. 2.Isaac D, Wine E. Overview of Pediatric Crohn Disease. In: Kuipers E, editor. Encyclopedia of Gastroenterology. 2nd Edition ed. Oxford, UK: Academic Press; 2020. p. 754-60. 3.Arjomand Fard N, Armstrong H, Perry T, Wine E. Appendix and Ulcerative Colitis: a Key to Explaining the Pathogenesis and Directing Novel Therapies?. Inflammatory Bowel Diseases. 2023 Jan 1;29(1):151-60. 4.Felice C, Armuzzi A. Therapeutic Role of Appendectomy in Ulcerative Colitis: A Tangible Perspective? J Crohns Colitis. 2019;13(2):142-3.
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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 | 0.001 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".