Mechanism of saikosaponin-d in the regulation of rat mesangial cell proliferation and synthesis of extracellular matrix proteinsThis paper is one of a selection of papers in this Special Issue, entitled International Symposium on Recent Advances in Molecular, Clinical, and Social Medicine, and has undergone the Journal's usual peer-review process.
Bibliographic record
Abstract
Glomerulosclerosis is a common disorder in many types of chronic kidney diseases. Previous studies have shown that glomerular mesangial cells (MCs) play an important role in the pathogenesis of glomerulosclerosis. The ability of saikosaponin-d (SSd) to reduce the damage of kidney in progressive glomerulosclerosis has been demonstrated. In this study, the effects of saikosaponin-d on MC proliferation and synthesis of extracellular matrix proteins were investigated. Rat MCs were isolated from Wistar rats and cultured in Dulbecco's modified Eagle's medium. MCs were challenged with lipopolysacchorides and incubated with different concentrations of SSd. Cell proliferation and cytotoxicity were determined by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT), flow cytometry, and lactate dehydrogenase assays. Type IV collagen, fibronectin, and TGF-beta1 in the conditioned medium were measured. The expression of cyclin-dependent kinase 4, c-Jun, and c-Fos was determined by immunohistochemistry. At a concentration of 4 microg/mL or lower, SSd inhibited MC proliferation but did not cause cell death. SSd also inhibited lipopolysaccharide-induced secretion of type IV collagen, fibronectin, and TGF-beta1 in MCs. Additionally, SSd reduced the expression of CDK4, c-Jun, and c-Fos in MCs. We conclude that SSd inhibited MC proliferation and synthesis of extracullular matrix proteins through the downregulation of the CDK4, c-Jun, and c-Fos genes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".