S1486 Pathogenic Crossroads: Viral Defense Genes as Modulators of Crohn's Disease Activity
Bibliographic record
Abstract
Introduction: Crohn's disease (CD) is a chronic inflammatory disorder of the gastrointestinal tract, characterized by alternating periods of remission and exacerbation. Understanding the interactions between host genetics and environmental factors, including potential viral triggers, is crucial for elucidating the underlying mechanisms of disease pathophysiology. Objective: This study aimed to investigate gene expression profiles that correlate with the Crohn's Disease Activity Index (SCDAI), with a specific focus on identifying molecular pathways that could indicate the involvement of viral elements in disease activity. Methods: We analyzed gene expression data from 389 intestinal biopsy samples collected from the ileum, provided by the SPARC dataset. Differential expression analysis was conducted between active and inactive disease states, followed by pathway analysis of differentially expressed genes using Reactome. Genes enriched in virus-related pathways were then selected for Pearson correlation analysis to assess associations between gene expression levels and SCDAI scores. Significance was determined through P-value adjustments using the Benjamini-Hochberg method to control the False Discovery Rate (FDR). Results: Significant correlations with SCDAI scores were found among genes involved in viral defense mechanisms, including TRIM7 (r: 0.157, FDR: 0.0215), FCN3 (r: 0.156, FDR: 0.0215), TLR2 (r: 0.139, FDR: 0.0394), APOBEC3A (r: 0.156, FDR: 0.0215), MLKL (r: 0.142, FDR: 0.0393), DDIT4 (r: 0.215, FDR: 0.000891), and OASL (r: 0.154, FDR: 0.0215). These genes participate in critical antiviral response pathways, suggesting that viral elements may significantly influence the exacerbation and modulation of inflammatory processes in Crohn's disease. Conclusion: Our findings underscore a significant link between viral defense mechanisms and the activity of Crohn's disease, highlighting the potential for viral infections to impact disease progression. This study contributes to a deeper understanding of Crohn's disease pathophysiology and emphasizes the importance of considering viral elements as a contributing factor in its dynamics (see Figure 1).Figure 1.: Network graph showing selected gene correlations with SCDAI and each other.
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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) | 0.001 | 0.001 |
| 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) | 0.008 | 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".