Chronic Exogenous Ketone Supplementation Blunts the Decline of Cardiac Function in the Failing Heart
Bibliographic record
Abstract
AIMS: Recent evidence has demonstrated that ketone bodies, particularly β-hydroxybutyrate (BHB), are beneficial to the failing heart due to their potential as an alternative energy substrate as well as their anti-inflammatory and anti-oxidative properties. Exogenous supplementation of ketones also helps prevent heart failure (HF) development in rodent models, but whether ketones can be used to treat HF remains unexplored. Herein, we investigated whether chronic supplementation of ketones is beneficial for the heart in a mouse model of established HF. METHODS AND RESULTS: To elevate circulating ketone levels, we utilized (R)-3-hydroxybutyl-(R)-3-hydroxybutyrate [ketone ester (KE)]. C57Bl/6N male mice were subjected to transverse aortic constriction (TAC) surgery. After developing HF, mice were treated with either 20% KE or vehicle via drinking water for 2 weeks. In another cohort, mice 3-4 weeks post-TAC received acute intravenous infusions of BHB or saline for 1 h and their cardiac function was measured. 20% KE significantly elevated blood BHB in mice (P < 0.01) without inducing ketoacidosis or altering other metabolic parameters. Mice with overt HF (30-45% ejection fraction) treated with 20% KE displayed significantly elevated circulating ketone levels compared with vehicle-treated mice (P < 0.05). The significant cardiac dysfunction in mice with HF continued to worsen after 2 weeks of vehicle treatment, whereas this decline was absent in KE-treated mice (mean difference 4.7% ejection fraction; P < 0.01). KE treatment also alleviated TAC-induced cardiomyocyte hypertrophy (P < 0.05) and reduced the TAC-induced elevated cardiac periostin (P < 0.05), a marker of activated fibroblasts. Cardiac fibrosis was also significantly reduced with KE treatment in TAC mice (P < 0.01). In another cohort, acute BHB infusion significantly increased the cardiac output of mice with HF (P < 0.05), providing further support that ketone therapy can be used to treat HF. CONCLUSIONS: We show that chronic treatment of exogenous ketones is of benefit to the failing heart and that chronic ketone elevation may be a therapeutic option for HF. Further investigations to elucidate the underlying mechanism(s) are warranted.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".