ArticleDiabetes2024
Divergent Skeletal Muscle Metabolomic Signatures of Different Exercise Training Modes Independently Predict Cardiometabolic Risk Factors.
Article in Diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 4 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Additional treatment strategies for hypothyroidism: a network meta-analysis.Endocrine connections · 2026Pooled it
- Metabolomic signatures of high-intensity and sprint interval exercise/training in humans: a systematic review.Metabolomics : Official journal of the Metabolomic Society · 2026Pooled it
- Effects of Exercise Snacks on Cardiometabolic Health and Body Composition in Adults: A Systematic Review and Meta-Analysis.Scandinavian journal of medicine & science in sports · 2025Pooled it
- The Role and Regulation of Intramuscular Sex Hormones in Skeletal Muscle: A Systematic Review.The Journal of clinical endocrinology and metabolism · 2025Pooled it
- Effects of maternal exercise modes on infant cord blood proteome.Physiological reports · 2025Trial
- Integrative Metabolomic and Echocardiographic Profiling Reveals Metabolic-Cardiac Structural Coupling in Yili Horses During Incremental Exercise.Animals : an open access journal from MDPI · 2026Article
- Deciphering the circulating lipidome signature associated with physical performance in gastric cancer patients: an exploratory study.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Hyperactive muscle mTORC1 attenuates functional adaptations to endurance training despite alterations in mitochondrial and lipid profiles.Journal of applied physiology (Bethesda, Md. : 1985) · 2026Article
- Sarcopenia and body temperature-the significance of interorgan metabolic networks in skeletal muscle atrophy.Endocrine journal · 2026Review
- Exercise benefits in metabolism on cardiovascular disease.Frontiers in cardiovascular medicine · 2026Review
- Exercise-induced metabolic remodeling in type 2 diabetes mellitus: insights from metabolomics.Frontiers in endocrinology · 2026Review
- The regulatory role of exercise in heart failure and myocardial energy metabolism: A review.Biomolecules & biomedicine · 2025Review
- Aerobic and resistance exercise-regulated phosphoproteome and acetylproteome modifications in human skeletal muscle.Nature communications · 2025Article
- A history of omics discoveries reveals the correlates and mechanisms of loading-induced hypertrophy in adult skeletal muscle. 2024 CaMPS young investigator award invited review.American journal of physiology. Cell physiology · 2025Review
- Sportomics Analyses of the Exercise-Induced Impact on Amino Acid Metabolism and Acute-Phase Protein Kinetics in Female Olympic Athletes.Nutrients · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
We investigated the link between enhancement of SI (by hyperinsulinemic-euglycemic clamp) and muscle metabolites after 12 weeks of aerobic (high-intensity interval training [HIIT]), resistance training (RT), or combined training (CT) exercise in 52 lean healthy individuals. Muscle RNA sequencing revealed a significant association between SI after both HIIT and RT and the branched-chain amino acid (BCAA) metabolic pathway. Concurrently with increased expression and activity of branched-chain ketoacid dehydrogenase enzyme, many muscle amino metabolites, including BCAAs, glutamate, phenylalanine, aspartate, asparagine, methionine, and γ-aminobutyric acid, increased with HIIT, supporting the substantial impact of HIIT on amino acid metabolism. Short-chain C3 and C5 acylcarnitines were reduced in muscle with all three training modes, but unlike RT, both HIIT and CT increased tricarboxylic acid metabolites and cardiolipins, supporting greater mitochondrial activity with aerobic training. Conversely, RT and CT increased more plasma membrane phospholipids than HIIT, suggesting a resistance exercise effect on cellular membrane protection against environmental damage. Sex and age contributed modestly to the exercise-induced changes in metabolites and their association with cardiometabolic parameters. Integrated transcriptomic and metabolomic analyses suggest various clusters of genes and metabolites are involved in distinct effects of HIIT, RT, and CT. These distinct metabolic signatures of different exercise modes independently link each type of exercise training to improved SI and cardiometabolic risk. ARTICLE HIGHLIGHTS: We aimed to understand the link between skeletal muscle metabolites and cardiometabolic health after exercise training. Although aerobic, resistance, and combined exercise training each enhance muscle insulin sensitivity as well as other cardiometabolic parameters, they disparately alter amino and citric acid metabolites as well as the lipidome, linking these metabolomic changes independently to the improvement of cardiometabolic risks with each exercise training mode. These findings reveal an important layer of the unique exercise mode-dependent changes in muscle metabolism, which may eventually lead to more informed exercise prescription for improving SI.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.