Globular and full-length forms of adiponectin mediate specific changes in glucose and fatty acid uptake and metabolism in cardiomyocytes
Bibliographic record
Abstract
OBJECTIVE: Our aim was to investigate the regulation of glucose and fatty acid metabolism in cardiomyocytes by the globular (gAd) and full-length (fAd) forms of adiponectin. METHODS: We produced fAd (consisting of high, medium and low molecular weight oligomers) in a mammalian expression system and gAd in bacteria. These were used to treat primary neonatal rat cardiomyocytes (up to 48 h), and we employed 3H- or 14C-labeled substrates to monitor glucose uptake and subsequent metabolism via oxidation, glycogen synthesis or lactate production and fatty acid uptake and oxidation. Enzymatic assay for acetyl CoA carboxylase activity was employed, and protein phosphorylation and expression was determined by immunoblotting cell lysates. The role of adiponectin receptor (AdipoR) isoforms was determined via siRNA-mediated knockdown. RESULTS: There was an initial (1 h) increase in glucose uptake and oxidation in response to gAd or fAd. Fatty acid uptake was stimulated by gAd or fAd, and by 24 h a decrease in acetyl CoA carboxylase activity and elevated fatty acid oxidation were observed. After 48 h increased fatty acid oxidation correlated with decreased glucose oxidation and pyruvate dehydrogenase activity, while glycogen synthesis and lactate production increased. Both gAd and fAd elicited phosphorylation of AMP kinase, insulin receptor substrate-1, Akt and glycogen synthase kinase-3beta. Knockdown of AdipoR1 or AdipoR2 attenuated the effect of both gAd and fAd on fatty acid uptake and oxidation. Only AdipoR1 knockdown prevented the ability of gAd (1 h) to increase glucose uptake and oxidation; however, reducing either AdipoR1 or AdipoR2 expression attenuated the long-term (24 h) effects of gAd. CONCLUSIONS: These results clearly demonstrate that gAd and fAd mediate distinct and time-dependent effects on cardiomyocyte energy metabolism via AdipoR1 and AdipoR2.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".