Knockdown of Fibronectin Induces Mitochondria-Dependent Apoptosis in Rat Mesangial Cells
Bibliographic record
Abstract
Extracellular matrix (ECM) expansion and mesangial cell (MC) proliferation are prominent features of most types of glomerulosclerosis. A delicate balance between the ECM and MC regulates cell survival. Increasing evidence shows that a loss of ECM components can cause mitochondrial dysfunction and induce cell apoptosis. It is proposed that directly blocking the synthesis of ECM components could lighten ECM accumulation and suppress cell overproliferation status. Fibronectin, one of the predominant adhesive glycoproteins of the mesangial ECM, provides the survival signal for cells. Its accumulation can be observed in most types of glomerulosclerosis. In this study, angiotensin II-induced fibronectin was suppressed by an RNA interference technique. It is interesting that MC slowly underwent apoptosis after infection with a retrovirus that continuously suppressed fibronectin synthesis. It was found that MC apoptosis occurred in a mitochondria-dependent manner mainly as a result of cytochrome c release and downstream caspase-3 and -9 activation. Furthermore, it was demonstrated that fibronectin knockdown affected mitochondrial handling of Ca(2+) release from the endoplasmic reticulum. Importantly, blocking the inositol 1,4,5-triphosphate receptor with, 3,4,5-trimethoxybenzoate or decreasing Ca(2+) in the ECM with EGTA partially saved the cells from apoptosis. These studies, which explored a new method for simultaneously inhibiting MC proliferation and ECM accumulation, may represent a novel therapeutic approach to glomerulosclerosis.
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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) | 0.001 | 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".