Targeting AMP-activated protein kinase (AMPK) for treatment of autosomal dominant polycystic kidney disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it