Therapeutic potential of ketone bodies on exercise intolerance in heart failure: looking beyond the heart
Bibliographic record
Abstract
Recent evidence suggests that ketone bodies have therapeutic potential in many cardiovascular diseases including heart failure (HF). Accordingly, this has led to multiple clinical trials that use ketone esters (KEs) to treat HF patients highlighting the importance of this ketone therapy. KEs, specifically ketone monoesters, are synthetic compounds which, when consumed, are de-esterified into two β-hydroxybutyrate (βOHB) molecules and increase the circulating βOHB concentration. While many studies have primarily focused on the cardiac benefits of ketone therapy in HF, ketones can have numerous favourable effects in other organs such as the vasculature and skeletal muscle. Importantly, vascular and skeletal muscle dysfunction are also heavily implicated in the reduced exercise tolerance, the hallmark feature in HF with reduced ejection fraction and preserved ejection fraction, suggesting that some of the benefits observed in HF in response to ketone therapy may involve these non-cardiac pathways. Thus, we review the evidence suggesting how ketone therapy may be beneficial in improving cardiovascular and skeletal muscle function in HF and identify various potential mechanisms that may be important in the beneficial non-cardiac effects of ketones in HF.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".