Targeting AMP-activated protein kinase (AMPK) for treatment of autosomal dominant polycystic kidney disease
Bibliographic record
Abstract
Autosomal dominant polycystic kidney disease (ADPKD) is the most common monogenetic kidney disease worldwide and an important cause of chronic kidney disease. Multiple experimental studies have highlighted the role of increased mammalian target of rapamycin complex 1 (mTORC1) and reduced AMP-activated protein kinase (AMPK) signaling in modulating cyst growth in ADPKD. Notably, mTORC1 and AMPK are two diametrically opposing sensors of energy metabolism which regulate cell growth and proliferation. Although pharmacological mTORC1 inhibition was highly effective in experimental studies of ADPKD, clinical trials of mTORC1 inhibitors showed a lack of efficacy with low-dose treatment and poor tolerability with high-dose treatment. Therapeutic AMPK activation has been shown to attenuate cystic kidney disease severity in Pkd1 mutant animal models by improving mitochondrial biogenesis and reducing tissue inflammation. This review summarizes the current knowledge on the function of AMPK as a regulator of cellular energy metabolism and how AMPK activation by pharmacological and non-pharmacological means can potentially be exploited to treat ADPKD in the clinical settings.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".