TL1A, a novel alarmin in airway, intestinal, and autoimmune disorders
Bibliographic record
Abstract
The term alarmin denotes a broad class of molecules rapidly released to alert the immune system through the engagement of specific receptors on immune cells. Three alarmin cytokines-thymic stromal lymphopoietin, IL-33, and IL-25-are released from epithelial and certain stromal cells. TNF-like cytokine 1A (TL1A) is a member of the TNF cytokine superfamily, first identified in human endothelial cells. TL1A is now considered a novel alarmin expressed by human and mouse bronchial and intestinal epithelial cells. TL1A exerts its biological activities by binding to a trimeric receptor DR3 (death receptor 3), expressed on a wide spectrum of immune and structural cells, including lung fibroblasts, endothelial cells, and bronchial epithelial cells. TL1A has been implicated in experimental and human inflammatory bowel diseases as well as in airway inflammation and remodeling in severe asthma. A monoclonal antibody anti-TL1A (tulisokibart) is effective in inducing clinical remission in ulcerative colitis patients. Increasing evidence suggests that TL1A is also involved in certain autoimmune disorders, such as rheumatoid arthritis and psoriasis. These emerging findings broaden the role of TL1A in various human inflammatory conditions. Several clinical trials are currently evaluating the safety and efficacy of monoclonal antibodies targeting TL1A in asthma or inflammatory bowel disease patients.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| 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) | 0.004 | 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".