Bibliographic record
Abstract
Chronic kidney disease (CKD) affects nearly 1 in 10 Canadians, a condition that in its end-stage has a worse prognosis than most cancers, and results in an annual healthcare cost of $40 billion. Despite fibrosis driving the progression of most forms of CKD, its pathogenesis remains poorly understood. Emerging evidence suggests the important role of acid ceramidase in regulating fibrosis across several organs, including the lung and liver. However, the role of acid ceramidase in the pathogenesis of kidney fibrosis remains largely unknown. Here we demonstrate that acid ceramidase mRNA is increased in fibrotic kidneys, and that inhibition of acid ceramidase with Carmofur reduces renal fibrosis. Furthermore, we provide evidence that acid ceramidase inhibition with Carmofur inhibits the activity of YAP and TAZ, two key pro-fibrotic transcription co-factors. Taken together, these data suggest that acid ceramidase inhibition might be a novel strategy to reduce kidney fibrosis.
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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 | 0.001 |
| 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".