Evidence map›Paper›PMID 37862464›Full record

ArticleDiabetes2024

Divergent Skeletal Muscle Metabolomic Signatures of Different Exercise Training Modes Independently Predict Cardiometabolic Risk Factors.

Mark W Pataky, Arathi Prabha Kumar, David A Gaul, Samuel G Moore, Surendra Dasari, Matthew M Robinson, Katherine A Klaus, A Aneesh Kumar, Facundo M Fernandez, K Sreekumaran Nair

Open access · greenAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 4 pooled it
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 4 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  6. Article
  7. Article
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  9. Review
  10. Exercise benefits in metabolism on cardiovascular disease.Frontiers in cardiovascular medicine · 2026
    Review
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  13. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Mark W PatakyDivision of Endocrinology and Metabolism, Mayo Clinic, Rochester, MN.
Arathi Prabha KumarDivision of Endocrinology and Metabolism, Mayo Clinic, Rochester, MN.
David A GaulSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA.
Samuel G MooreSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA.
Surendra DasariDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN.
Matthew M RobinsonSchool of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR.
Katherine A KlausDivision of Endocrinology and Metabolism, Mayo Clinic, Rochester, MN.
A Aneesh KumarDivision of Endocrinology and Metabolism, Mayo Clinic, Rochester, MN.
Facundo M FernandezSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA.
K Sreekumaran NairDivision of Endocrinology and Metabolism, Mayo Clinic, Rochester, MN.ORCID 0000-0002-0649-9469
Mayo Clinic · USGeorgia Institute of Technology · USMayo Clinic in Florida · USOregon State University · US

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
DIABETES AND METABOLISMT32DK007352 · NIDDK · MAYO CLINIC ROCHESTER · PI MICHAEL D. JENSEN · 1986 to 2026
$9.4M
Molecular Mechanisms of Exercise Benefits to Insulin Resistant PeopleR01AG062859 · NIA · MAYO CLINIC ROCHESTER · PI K Sreekumaran Nair · 2019 to 2026
$5.1M
CSR NIH HHS R01 AG062859NCATS NIH HHS UL1 TR000135NIA NIH HHS R01 AG062859NIDDK NIH HHS T32 DK007352
6 · The paper itself

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.

Indexed as

Cardiovascular DiseasesHigh-Intensity Interval TrainingCardiometabolic Risk FactorsExerciseExercise TherapyHumansMuscle, Skeletal

Identifiers

PMID37862464
PMCPMC10784655
OpenAlexW4387805406

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.