Emerging role of autophagy in mediating widespread actions of ADIPOQ/adiponectin
Bibliographic record
Abstract
Autophagy can dictate changes in cell metabolism via numerous mechanisms. ADIPOQ/adiponectin has been extensively characterized to have beneficial metabolic effects, both via INS/insulin-sensitizing and INS-independent actions. Our recent work examined the regulation of skeletal muscle autophagy by ADIPOQ and the functional significance. We showed that ADIPOQ directly stimulates autophagic flux in cultured skeletal muscle cells via an AMPK-dependent signaling pathway leading to phosphorylation of ULK1 (Ser555). Pharmacological inhibition of autophagy or overexpressing an inactive mutant of ATG5 to create an autophagy-deficient cell model reduces INS sensitivity. A high-fat diet (HFD) does not induce skeletal muscle autophagy in Adipoq knockout (Ad-KO) mice, whereas it does in wild-type (WT) mice, although ADIPOQ replenishment in Ad-KO mice stimulates autophagy. Changes in skeletal muscle autophagy correlate well with peripheral INS sensitivity and glucose metabolism. Thus, ADIPOQ stimulates autophagic flux in skeletal muscle, which likely represents one important mechanism mediating multiple favorable metabolic effects.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".