Acute kidney injury induces hallmarks of polycystic kidney disease
Bibliographic record
Abstract
Acute kidney injury (AKI) and autosomal dominant polycystic kidney disease (ADPKD) are considered separate entities that both frequently cause renal failure. Since ADPKD appears to depend on a polycystin-1 (Pc1) or Pc2 dosage mechanism, we investigated whether slow progression of cystogenesis in two Pkd1 transgenic mouse models can be accelerated with moderate ischemia-reperfusion injury (IRI). Transient unilateral left ischemic kidneys in both nontransgenic and transgenic mice reproducibly develop tubular dilatations, cysts, and typical PKD cellular defects within 3 mo post-IRI. Similar onset and severity of IRI induced-cystogenesis independently of genotype revealed that IRI is sufficient to promote renal cyst formation; however, this response was not further amplified by the transgene in Pkd1 mouse models. The IRI nontransgenic and transgenic kidneys showed from 16 days post-IRI strikingly increased and sustained Pkd1/Pc1 (>3-fold) and Pc2 (>8-fold) expression that can individually be cystogenic in mice. In parallel, long-term and important stimulation of hypoxia-inducible factor 1α expression was induced as in polycystic kidney disease. While mammalian target of rapamycin signaling is activated, stimulation of the Wnt pathway, with markedly increased active β-catenin and c-Myc expression in IRI renal epithelium, uncovered a similar regulatory cystogenic response shared by IRI and ADPKD. Our study demonstrates that long-term AKI induces cystogenesis and cross talk with ADPKD Pc1/Pc2 pathogenic signaling.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".