Ameliorative effects of pirfenidone in chronic kidney disease
Bibliographic record
Abstract
Renal fibrosis is the hallmark of advanced chronic kidney disease (CKD), which is characterized by excessive accumulation of extracellular matrix (ECM) proteins and plays a central role in the pathogenesis and progression of CKD to end-stage renal disease (ESRD). The molecular and cellular substances of kidney fibrosis include growth factors, such as fibroblast growth factor (FGF), transforming growth factor beta (TGF-β) and platelet-derived growth factor (PDGF), alongside cytokines (like interleukin-1b) and metalloproteinases. Therefore, these factors can be evaluated as possible targets for anti-fibrotic agents. Among the mediators of fibrosis, TGF-β is the dominant facilitator of renal fibrosis that induces ECM construction and accumulation. Numerous studies have focused on the inhibition of TGF-β and its downstream targets for the treatment of renal disease. Abolition of TGF-β mRNA expression was found to be the mechanism of anti-fibrotic drug, pirfenidone, in the heart and kidneys of diabetic rats. Various investigations have shown the impact of pirfenidone in diminishing kidney fibrosis, with studies containing patients diagnosed with subtotal nephrectomy, diabetic kidney disease and unilateral ureteral obstruction (UUO), administered drugs such as cyclosporine, tacrolimus, doxorubicin and vanadate. Several therapeutic drugs for fibrosis reduce only one of the oxidative, inflammatory or profibrogenic markers, while pirfenidone targets all three of these markers and therefore, seems to be a particularly valuable drug.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".