Autophagy and Crohns Disease: At the Crossroads of Infection, Inflammation, Immunity, and Cancer
Bibliographic record
Abstract
Inflammatory bowel diseases (IBD) are common inflammatory disorders of the gastrointestinal tract that include ulcerative colitis (UC) and Crohn's disease (CD). The incidences of IBD are high in North America and Europe, affecting as many as one in 500 people. These diseases are associated with high morbidity and mortality. Colorectal cancer risk is also increased in IBD, correlating with inflammation severity and duration. IBD are now recognized as complex multigenetic disorders involving at least 32 different risk loci. In 2007, two different autophagy-related genes, ATG16L1 (autophagy-related gene 16-like 1) and IRGM (immunity-related GTPase M) were shown to be specifically involved in CD susceptibility by three independent genome-wide association studies. Soon afterwards, more than forty studies confirmed the involvement of ATG16L1 and IRGM variants in CD susceptibility and gave new information on the importance of macroautophagy (hereafter referred to as autophagy) in the control of infection, inflammation, immunity and cancer. In this review, we discuss how such findings have undoubtedly changed our understanding of CD pathogenesis. A unifying autophagy model then emerges that may help in understanding the development of CD from bacterial infection, to inflammation and finally cancer. The Pandora's box is now open, releasing a wave of hope for new therapeutic strategies in treating Crohn's disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".