Extracellular matrix and immune dysfunction: An overlooked relationship in idiopathic pulmonary fibrosis
Bibliographic record
Abstract
Idiopathic pulmonary fibrosis (IPF) is a progressive fatal disease. Current clinically approved treatments slow disease progression but are not curative. Thus, there is a critical need to better define the pathogenic mechanisms of IPF and develop novel approaches to treat this devastating lung condition. Immune dysregulation of both the innate and adaptive immune systems, accompanied by fibrosis, constitutes a key hallmark of IPF. IPF is generally considered to be a fibroproliferative disorder rather than an immune condition because, historically, immunomodulatory therapies have failed to produce significant clinical effect. This lack of response is frustrating given that there is evidence of immune dysfunction in IPF and highlights the need to clarify the role of immune cells and inflammatory pathways in IPF. There is increasing evidence that the extracellular matrix (ECM) directs cell fate and function, and we propose that ECM remodeling and immune dysfunction in IPF generate a self-perpetuating fibrotic circuit that is refractory to classical anti-inflammatory agents. Understanding the relationship between ECM and immune dysfunction in IPF pathogenesis could help identify novel therapeutic approaches for this devastating disease.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| 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".