Recent advances in exercise immunometabolism: Immune cell bioenergetics, muscle-immune cell interactions, and potential dietary adjuvants
Bibliographic record
Abstract
PURPOSE OF REVIEW: Exercise profoundly alters immunological processes to improve overall health and immunity. The link between immune cell metabolism and function has prompted study of immune cell bioenergetics following acute exercise and the role of muscle-resident immune cells in training adaptations. This review highlights recent work in the area and discusses potential dietary approaches for boosting exercise-induced immunometabolic benefits. RECENT FINDINGS: Human studies highlight the ability of exercise to alter immune cell bioenergetics, with some also reporting accompanying changes in immune cell function. Rodent studies involving moderate exercise report improved innate and adaptive immune cell phenotypes that are accompanied by increased mitochondrial size and bioenergetic function. Various muscle resident immune cell subpopulations including macrophages, mast cells, and regulatory T cells also appear to be involved in the adaptive responses to exercise. Fasting, exogenous ketones, and mitochondrial enhancing compounds (e.g., sulforaphane, urolithin A) could theoretically potentiate the immunometabolic benefits of exercise based on their independent effects, but evidence for combined interventions is currently lacking. SUMMARY: Exercise and dietary manipulations that independently alter immunometabolic pathways could be combined to maximize associated health benefits. This may benefit those who cannot meet physical activity guidelines or want to maximize exercise adaptation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".