METABOLIC EFFECTS OF R-1,3-BUTANEDIOL (KETONE-IQ) DURING AEROBIC AND ANAEROBIC EXERCISE BOUTS
Bibliographic record
Abstract
Topics in Exercise Science and Kinesiology Volume 6: Issue 1, Article 1, 2025. BACKGROUND: Current evidence demonstrates the efficacy of low carbohydrate/high fat ketogenic diets as it related to exercise. Exogenous ketone supplements have made it possible to ingest ketone molecules, elevating blood b-hydroxybutyrate (BHB) despite consuming carbohydrates (CHO). The purpose of this investigation was to determine both metabolic and performance effects of R-1,3-butanediol (BDO). METHODS: A randomized repeated measures placebo-controlled design was used to compare BDO and placebo (PLA). Each phase of testing utilized two primary testing days: 1) a dose exposure day designed to determine blood metabolite changes following consumption of BDO or PLA, 2) A performance day designed to assess the aerobic and anaerobic performance. In brief, dose exposure day consisted of a fasting baseline blood analysis followed by additional blood analysis at 20- and 40-minute post ingestion timepoints. Performance testing consisted of ingestion of 0.5g/kg of BDO or PLA and a standard meal (31g CHO, 2.5g fat, 13g protein). Participants then conducted a 5k time-trial on a treadmill while breath gases were analyzed. BHB and glucose (GLU) were determined at baseline, midpoint and post run. Following aerobic testing participants completed a repeated cycle test consisting of five 10-second sprints against resistance (7.5% body mass). STATISTICAL ANALYSES: Repeated measures analysis of variance (ANOVA) were conducted to establish group and time effects. RESULTS: BDO resulted in increased BHB relative to PLA at all time-points following baseline on the dose exposure day (20-minute p<0.001 and 40-minute). On the performance day, significant increases in BHB were also observed for all time-points for aerobic (p<0.001 for each) and anaerobic testing (Midpoint: p<0.01, Post: p<0.01). BDO supplementation resulted in significantly higher average power and average peak power outputs across the five 10-second cycle sprints. Additionally, supplementation resulted in significantly less fatigue as determined by Fatigue Index. A significant decrease in BHB for BDO, from pre-run (1.9±0.2mmol) to post-run (1.2±0.2mmol), was also observed (p=0.003). CONCLUSION: Acute supplementation with a novel ketone supplement significantly increases blood ketones and significantly improved anaerobic performance on a repeated cycle ergometer assessment. Funding: Health Via Modern Nutrition (HVMN)
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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".