Tranilast Ameliorates Experimental Mesangial Proliferative Glomerulonephritis
Bibliographic record
Abstract
BACKGROUND: Immunoglobulin A nephropathy and its related animal model Thy1.1 nephritis are characterized by mesangial hypercellularity, extracellular matrix expansion and overexpression of the proproliferative and profibrotic growth factors, platelet-derived growth factor (PDGF) and transforming growth factor-beta (TGF-beta). Tranilast [n-(3,4-dimethoxycinnamoyl) anthranilic acid] has been shown to block the actions of PDGF and TGF-beta. METHODS: Experimental mesangial proliferative glomerulonephritis was induced in male Wistar rats with a monoclonal anti-rat Thy-1.1 antibody (OX-7) with rats randomized to receive either tranilast 400 mg/kg/day or vehicle control. Collagen synthesis and proliferation of cultured mesangial cells following incubation with PDGF (50 ng/ml) and tranilast (10-100 microM) was determined by (3)H-proline and (3)H-thymidine incorporation, respectively. RESULTS: Tranilast treatment resulted in a significant reduction in mesangial cell proliferation, macrophage infiltration, activated (alpha-smooth muscle actin positive) mesangial cells, glomerular type IV collagen deposition and proteinuria compared to control rats. Also, PDGF stimulation of mesangial cell (3)H-thymidine and (3)H-proline incorporation was reduced by tranilast in a dose-dependent manner. CONCLUSION: These in vitro data and the amelioration of the pathological findings of experimental mesangial proliferative glomerulonephritis by tranilast suggest the potential clinical utility of this approach as a therapeutic strategy in mesangial proliferative conditions such as immunoglobulin A nephropathy.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".