TGF-β1 Increases Resistance of NIH/3T3 Fibroblasts Toward Apoptosis Through Activation of Smad2/3 and Erk1/2 Pathways
Bibliographic record
Abstract
Purpose Excessive fibrosis has been suggested to result from persistence of fibroblasts in injured tissue due to impaired apoptosis, but signaling pathways are not fully defined. Methods Suppression of apoptotic cell death following transforming growth factor-β1 (TGF-β1) exposure was studied using the culture of NIH/3T3 mouse embryonic fibroblasts. Caspase-3 activity, propidium iodide staining and annexin V binding induced by Fas-ligand (FasL) in NIH/3T3 fibroblasts in the absence and presence of TGF-β1 was determined, and relative contribution of signaling through Smad2/3 and noncanonical Erk1/2 and Akt pathways was dissected by assessing phosphorylation status of these kinases and caspase activity in the absence and presence of specific inhibitors (SB431542, PD0325901 and LY294002), respectively. Results TGF-β1 treatment suppressed FasL-mediated fibroblasts apoptosis with a greater than threefold reduction of caspase-3 activity (from 894 ± 186 to 195 ± 56 nmol AFC/min/106 cells at 250 ng/mL of FasL) and reductions in cleaved caspase-8 and caspase-3 by 3.2-fold and 4.3-fold, respectively. The reduction in caspase activation was accompanied by a decrease in annexin V-positive cells by ~80%. TGF-β1 treatment phosphorylated Smad2/3, Erk1/2 and Akt, which were reduced by their selective inhibitors. Inhibition of Smad2/3 and Erk1/2 alone partially reduced the protective effect of TGF-β1 on caspase-3 activation, whereas inhibition of the Akt pathway had no significant effect. Concomitant inhibition of Smad2/3 and Erk1/2 completely reversed the protection by TGF-β1. Conclusions TGF-β1-mediated suppression of apoptosis in fibroblasts involves both Smad2/3 and Erk1/2 pathways, but not the Akt pathway. A combined approach inhibiting Smad2/3 and Erk1/2 pathways can completely reverse the protective effect of TGF-β1 on apoptosis. These findings are proof of concept to help define strategies to reduce progression of fibrosis and resultant morbidities associated with conditions causing excessive fibrosis, including but not limited to keloid formation, transplant fibrosis and aging-associated fibrosis of the heart.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.003 | 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".