Using Nkx2.5 to interfere with profibrotic mechanotransduction signaling to prevent further fibrotic progression in IPF
Bibliographic record
Abstract
Introduction: Idiopathic pulmonary fibrosis (IPF) is a life-threatening interstitial lung disease with limited treatment options that is caused by excessive deposition of extracellular matrix components. Recent work has linked the profibrotic activity seen in IPF to the mechanotransduction pathway. Homeobox protein Nkx2.5, a transcription factor that has been identified as a mechanosensitive repressor of α-smooth muscle actin expression, is antagonistic to this process. Aims: We aim to characterize Nkx2.5 expression and assess changes in myofibroblast differentiation in various environmental models and conditions. Methods: Baseline Nkx2.5 expression in the lung was quantified using primary human lung fibroblasts (PHLF) from nonfibrotic and fibrotic sources grown in soft and stiff cell culture plates. A lentiviral overexpression system will be used in PHLFs to determine if transition to profibrotic phenotypes can be prevented, and normal function can be restored. Expression of α-smooth muscle actin and extra cellular matrix protein collagen was measured to quantify fibrosis progression and assess the efficacy of Nkx2.5 as a repressor of fibrosis. Results: Immunostaining shows a reduction in the amount of Nkx2.5 in IPF lung compared to the healthy control. Preliminary work showed that fibroblasts grown in the soft environments had significantly higher amounts of Nkx2.5 when compared to the rigid environments. Conclusions: This research points to a new potential therapeutic target for IPF, allowing for more diverse treatment strategies as restoring proteins involved in normal, non-pathogenic function can help to complement current intervention.
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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 | 0.001 |
| 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".