Evidence map›Paper›PMID 30742692›Full record

Trial reportPloS one2019

Association of skeletal muscle and serum metabolites with maximum power output gains in response to continuous endurance or high-intensity interval training programs: The TIMES study - A randomized controlled trial.

Alex Castro, Renata Garbellini Duft, Marina Lívia Venturini Ferreira, André Luís Lugnani de Andrade, Arthur Fernandes Gáspari, Lucas de Marchi Silva, Silas Gabriel de Oliveira-Nunes, Cláudia Regina Cavaglieri, Sujoy Ghosh, Claude Bouchard and 1 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
9.3field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Metabolomic profiles of being physically active and less sedentary: a critical review.Metabolomics : Official journal of the Metabolomic Society · 2021
    Pooled it
  2. Pooled it
  3. Hypotensive effects of exercise training: are postmenopausal women with hypertension non-responders or responders?Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Trial
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  10. The Aging Process: A Metabolomics Perspective.Molecules (Basel, Switzerland) · 2022
    Article
  11. MicroRNAs as the Sentinels of Redox and Hypertrophic Signalling.International journal of molecular sciences · 2022
    Review
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  15. Review
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  20. Regulation of Lin28a-miRNAAmerican journal of physiology. Cell physiology · 2020
    Article
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

11 authors at 2 institutions in 3 countries.

Alex CastroLaboratory of Exercise Physiology, School of Physical Education, University of Campinas, Campinas, São Paulo, Brazil.ORCID 0000-0002-0298-2672
Renata Garbellini DuftLaboratory of Exercise Physiology, School of Physical Education, University of Campinas, Campinas, São Paulo, Brazil.
Marina Lívia Venturini FerreiraLaboratory of Exercise Physiology, School of Physical Education, University of Campinas, Campinas, São Paulo, Brazil.
André Luís Lugnani de AndradeLaboratory of Exercise Physiology, School of Physical Education, University of Campinas, Campinas, São Paulo, Brazil.
Arthur Fernandes GáspariLaboratory of Exercise Physiology, School of Physical Education, University of Campinas, Campinas, São Paulo, Brazil.ORCID 0000-0002-6063-1694
Lucas de Marchi SilvaLaboratory of Exercise Physiology, School of Physical Education, University of Campinas, Campinas, São Paulo, Brazil.
Silas Gabriel de Oliveira-NunesLaboratory of Exercise Physiology, School of Physical Education, University of Campinas, Campinas, São Paulo, Brazil.
Cláudia Regina CavaglieriLaboratory of Exercise Physiology, School of Physical Education, University of Campinas, Campinas, São Paulo, Brazil.ORCID 0000-0002-7795-6575
Sujoy GhoshLaboratory of Computational Biology, Pennington Biomedical Research Center, Baton Rouge, Louisiana, United States of America.ORCID 0000-0002-7601-165X
Claude BouchardHuman Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, United States of America.
Mara Patrícia Traina Chacon-MikahilLaboratory of Exercise Physiology, School of Physical Education, University of Campinas, Campinas, São Paulo, Brazil.
Universidade Estadual de Campinas (UNICAMP) · BRPennington Biomedical Research Center · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Transgenics CoreP30GM118430 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI GETTYS, THOMAS W · 2016 to 2020
$5.8M
NIGMS NIH HHS P30 GM118430NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

backgroundRecent studies have begun to identify the molecular determinants of inter-individual variability of cardiorespiratory fitness (CRF) in response to exercise training programs. However, we still have an incomplete picture of the molecular mechanisms underlying trainability in response to exercise training.

objectiveWe investigated baseline serum and skeletal muscle metabolomics profile and its associations with maximal power output (MPO) gains in response to 8-week of continuous endurance training (ET) and high-intensity interval training (HIIT) programs matched for total units of exercise performed (the TIMES study).

methodsEighty healthy sedentary young adult males were randomized to one of three groups and 70 were defined as completers (> 90% of sessions): ET (n = 30), HIIT (n = 30) and control (CO, n = 10). For the CO, participants were asked to not exercise for 8 weeks. Serum and skeletal muscle samples were analyzed by 1H-NMR spectroscopy. The targeted screens yielded 43 serum and 70 muscle reproducible metabolites (intraclass > 0.75; coefficient of variation < 25%). Associations of baseline metabolites with MPO trainability were explored within each training program via three analytical strategies: (1) correlations with gains in MPO; (2) differences between high and low responders to ET and HIIT; and (3) metabolites contributions to the most significant pathways related to gains in MPO. The significance level was set at P < 0.01 or false discovery rate of 0.1.

resultsThe exercise programs generated similar gains in MPO (ET = 21.4 ± 8.0%; HIIT = 24.3 ± 8.5%). MPO associated baseline metabolites supported by all three levels of evidence were: serum glycerol, muscle alanine, proline, threonine, creatinine, AMP and pyruvate for ET, and serum lysine, phenylalanine, creatine, and muscle glycolate for HIIT. The most common pathways suggested by the metabolite profiles were aminoacyl-tRNA biosynthesis, and carbohydrate and amino acid metabolism.

conclusionWe suggest that MPO gains in both programs are potentially associated with metabolites indicative of baseline amino acid and translation processes with additional evidence for carbohydrate metabolism in ET.

Indexed as

Endurance TrainingHigh-Intensity Interval TrainingAdolescentAdultBiomarkersCardiorespiratory FitnessHumansLongitudinal StudiesMaleMetabolomicsMuscle, SkeletalMuscle StrengthYoung AdultBiomarkers

Identifiers

PMID30742692
PMCPMC6370248
OpenAlexW2913445153

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.