#1144 Role of PPAR-alpha in folic acid-induced tubulointerstitial fibrosis
Bibliographic record
Abstract
Abstract Background and Aims PPAR-alpha is a nuclear receptor that plays a major role in the regulation of lipid metabolism. Activation of PPAR-alpha has been shown to have beneficial effects in renal diseases. Acute kidney injury (AKI), even if followed by renal recovery, is a risk factor for the future development of chronic kidney disease (CKD) and end-stage renal disease (ESRD). Progressive tubulointerstitial fibrosis is the final common pathway for all kidney diseases leading to chronic renal failure. Our main objective was to determine the importance of PPAR-alpha in tubulointerstitial fibrosis in folic acid induced nephropathy. Method Male C57/Bl6 and PPARKO (C57Bl6 background) mice were divided into 4 groups, Control, Folic Acid, Gemfibrozil + Folic Acid and PPARKO + Folic Acid. Animals have been treated with a single dose of Folic Acid (250 mg/kg i.p) and Gemfibrozil (150 mg/kg gavage) euthanized after 28 days for. Renal parameters, histology, real time PCR were performed to investigate renal injury, inflammation, and fibrosis. Results After 28 days of folic acid inducing CKD. PPARKO showed the same levels of injury as folic acid alone treated mice, however PPAR-alpha activation with gemfibrozil decreased urinary volume (Folic Acid: 3.870 ± 0.679 Gemfibrozil: 1,242 ± 0,223), creatinine (Folic Acid: 0,7940 ± 0,0357 Gemfibrozil: 0,5820 ± 0,0288), urea levels (Folic Acid: 79,23 ± 3,20 Gemfibrozil: 46,11 ± 3,874), showed less tubulointerstitial fibrosis (Folic Acid: 0,5837 ± 0,0426), Gemfibrozil: 0,2423 ± 0,0293) and lower urine protein/creatinine ratio (Folic Acid: 5,486 ± 0,588 Gemfibrozil: 2,536 ± 0,127). Conclusion PPAR-alpha deletion did not show protection in chronic phase, in the other hand PPAR-alpha activation with gemfibrozil showed to be effective against tubulointerstitial 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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".