Extracellular matrix microenvironment contributes actively to pulmonary fibrosis
Bibliographic record
Abstract
PURPOSE OF REVIEW: The purpose of this review is to describe the contribution of an altered, profibrotic extracellular matrix (ECM) microenvironment to pulmonary fibrosis and how it changes cell behaviour and actively drives disease progression. RECENT FINDINGS: Idiopathic pulmonary fibrosis is a chronic and fatal disease of unknown cause. It is characterized by proliferation and accumulation of fibroblasts and myofibroblasts in clusters, termed fibroblastic foci, and extensive ECM deposition. Recent evidence from in-vivo and ex-vivo experimental studies has highlighted that the abnormal ECM in fibrotic lungs alters the behaviour of epithelial and mesenchymal cells. This profibrotic ECM microenvironment is characterized by altered biochemical and biomechanical properties and stores abundant amount of growth factors. By this, the 'fibrotic ECM' can drive progressive fibrogenesis in the lungs without any further initiating trigger. These concepts indicate a more complicated dynamic and active role of the fibrotic ECM than previously thought and offer many novel therapeutic targets. SUMMARY: The fibrotic ECM microenvironment is an active contributor to the development and progression of pulmonary fibrosis and a promising therapeutic target.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.004 | 0.003 |
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".