Tranilast Ameliorates Experimental Mesangial Proliferative Glomerulonephritis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it