β1‐Integrin, KCa3.1 and TRPC4 Channels Play Complementary Roles in Alveolar Epithelial Repair
Bibliographic record
Abstract
Extensive alveolar epithelial injury and remodelling are typical features of acute respiratory distress syndrome (ARDS). It has been established that epithelial regeneration, and secondary lung oedema resorption, are crucial for the resolution of ARDS parameters. Interestingly, many evidences indicate that K + channels are regulating epithelial repair processes; however the role of Ca 2+ ‐activated KCa3.1 channels in alveolar repair has never been investigated before. Wound healing assays first demonstrated that the repair rates of primary rat alveolar cell monolayers were increased on a fibronectin matrix compared to non‐coated supports. KCa3.1 inhibition impaired the fibronectin‐stimulated wound‐healing rates, as well as cell migration and proliferation, but was without effect in absence of coating. We then evaluated a putative relationship between KCa3.1 and the β1‐integrin, which is activated by fibronectin. Immunofluorescence and co‐immunoprecipitation assays indicated a cellular co‐distribution and a physical link between the two proteins. In addition, KCa3.1 and β1‐integrin membrane expressions were both increased on a fibronectin matrix. We also showed increased [Ca 2+ ] i as well as enhanced expression of TRPC4, a non‐voltage gated Ca 2+ channel of the large TRP channel family, in the presence of fibronectin. Finally, wound healing assays showed that TRPC4 function is also involved in alveolar repair. Altogether, our data demonstrate for the first time a complementary role of β1‐integrin, KCa3.1 and TRPC4 channels in the regulation of alveolar repair processes. Funded by CIHR, FRQS and NSERC.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".