Abstract P2139: The Adiponectin Receptor Agonist ALY688 Prevents Pressure Overload-induced Cardiac Dysfunction And Adverse Cardiac Remodeling
Bibliographic record
Abstract
Adiponectin has been shown to mediate multiple cardioprotective effects. Since the use of adiponectin protein as a practical therapeutic is associated with multiple challenges, we examined the functional significance of targeting adiponectin signaling with ALY688, a small peptide-based adiponectin mimetic, in a mouse model of cardiac dysfunction caused by left ventricular pressure overload (PO) induced by minimally invasive transverse aortic banding (MTAB). Following daily administration of ALY688 over 5 weeks after induction of PO, echocardiography showed that significantly attenuated PO-induced reduction in ejection fraction and other indices of cardiac function compared with vehicle. ALY688 also significantly reduced cardiac hypertrophic remodeling (heart weight-to-tibia length), cardiomyocyte cross sectional area, and myocardial and circulating levels of serum natriuretic peptide A. ALY688 reduced PO-induced increases in myofibroblasts, and scar tissue collagen content based upon immunofluorescence staining for α-smooth muscle actin and vimentin, scanning electron microscopy, and picrosirius red staining. ALY688 reduced PO-induced myocardial expression of 14 pro-inflammatory genes and circulating IL-12, IL-15, IL-17, and MIP-3α levels. Targeted metabolomics revealed that ALY688 increased myocardial fatty acid oxidation, with increased mobilization of cardiac triacylglycerols and a decrease in sphingomyelin, fatty acids and lysophospholipids. In conclusion, the adiponectin analogue ALY688 is cardioprotective in a preclinical animal model of heart failure and cardiac remodeling, with beneficial metabolic, anti-fibrotic, anti-hypertrophic and anti-inflammatory properties leading to improved cardiac function.
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.
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) | 0.000 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".