Mechanical Stretch-Induced Signal Transduction in Cultured Mesangial Cells
Bibliographic record
Abstract
The investigation of the effects of mechanical stretch on mesangial cells can provide important insights into glomerular pathophysiology related to increased intraglomerular pressure (Pgc). Elevated Pgc, leading to the transmission of abnormal mechanical stress to resident renal glomerular cells, is a major pathogenic factor in progressive glomerular fibrosis and the ultimate loss of renal function. Mesangial cells, at the center of the glomerular tuft, produce extracellular matrix components when exposed to mechanical stretch, thus providing a model system simulating in vivo pathology. Stretch-induced activation of the mitogen-activated protein kinase Erk has been linked to matrix production. The integrity of the actin cytoskeleton, an important transmitter of mechanical signals, is required for activation of Erk and its upstream kinase Raf-1. The GTPase RhoA, a central regulator of the actin cytoskeleton, is also activated by stretch, and both Erk activation and subsequent matrix upregulation are dependent on its function. The investigation of signaling pathways activated by mechanical stretch and associated with abnormal matrix production or regulation will assist in the development of new therapies targeted at slowing the progression of renal disease.
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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 | 0.001 | 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".