αB-crystallin is involved in the process of pulmonary fibrosis
Bibliographic record
Abstract
Introduction: Idiopathic Pulmonary Fibrosis (IPF) is a devastating disease with currently no treatment. In the presence of TGF-β, epithelial cells differentiate into myofibroblats, key pro-fibrotic cells in a proccess called epithelial-to-mesemchymal transition (EMT). αB-crystallin belongs to the small heat shock protein family and is constitutively expressed in many tissues including lungs. αB-crystallin is inducible by stress and has a major role in cell cytoskeleton architecture homeostasis by interacting with intermediate filament elements. The role of αB-crystallin in fibrogenesis is unknown. Methods: In vitro we induced EMT on A549 cells after rTGF-β treatment. In vivo, Sprague Dawley rats received intra-tracheal administration of AdTGF-β or AdDL control. SV129 mice wild type (WT) or knock out (KO) for αB-crystallin received intra-tracheal bleomycin (0.07U/mouse). Results: In vitro during TGF-β1-induced EMT: 1. αB-crystallin is early overexpressed, 12 hours before α-SMA overexpression; 2. αB-crystallin colocalize with α-SMA; 3. αB-crystallin interacts with HSP27; 4. The modulation of αB-crystallin plays a role on TGF/SMAD pathway. In vivo: 1. αB-crystallin is overexpressed in fibrotic areas induced by TGF-β overexpression in rats or bleomycin administration in mice; 2. By day 21, collagen accumulation in the lung was significantly higher in WT mice (3 fold increase, p<0.05) compared to KO mice; 3. The level of TGF-β1 was lower in KO mice after bleomycin injection. Conclusion: These results provide evidence that αB-crystallin is involved in pulmonary fibrosis maybe through a role in EMT. This work is supported by the EU, 7th FP, HEALTH-F2-2007-202224 eurIPFnet
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".