Bibliographic record
Abstract
Fibrosis is a major cause of end-stage renal disease (ESRD) a progressive loss in renal function that occurs over a period of months or years, is characterized by a decreased capability of the kidneys to excrete waste products. There is no specific treatment unequivocally shown to slow the worsening of chronic kidney disease. Plasma levels of CCN2, a fibrogenic agent, is a predictor of ESRD and mortality in patients with type 1 diabetic nephropathy. CCN3 has been hypothesized to have antagonistic effects to CCN2 both in vitro and in vivo, including in cultured mesangial cells. In a recent study, van Roeyen and colleagues (Am J Pathol in press, 2012) showed that in vivo overexpression of CCN3 in a model of anti-Thy1.1-induced experimental glomerulonephritis resulted in decreased albuminuria, glomerulosclerosis and reduced cortical collagen type I accumulation. CCN3 enhanced angiogenesis yes suppressed mesangial cell proliferation. Thus CCN3 protein may represent a novel therapeutic approach to help repair glomerular endothelial damage and mesangioproliferative changes and hence prevent renal failure, glomerulosclerosis and tubulointerstitial fibrosis.
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.
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 | 0.001 | 0.001 |
| 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 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".