Evidence map›Paper›PMID 38141850›Full record

ArticleMolecular metabolism2024

Molecular profiling of high-level athlete skeletal muscle after acute endurance or resistance exercise - A systems biology approach.

Stefan M Reitzner, Eric B Emanuelsson, Muhammad Arif, Bogumil Kaczkowski, Andrew Tj Kwon, Adil Mardinoglu, Erik Arner, Mark A Chapman, Carl Johan Sundberg

Open access · goldAbstract read
In one paragraph

Article in Molecular metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
7.3field-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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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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

9 authors at 6 institutions in 4 countries.

Stefan M ReitznerDepartment Physiology & Pharmacology, Karolinska Institutet, Solnavägen 9, 171 77 Stockholm, Sweden; Department Women's and Children's Health, Karolinska Institutet, Solnavägen 9, 171 77 Stockholm, Sweden. Electronic address: stefan.reitzner@ki.se.
Eric B EmanuelssonDepartment Physiology & Pharmacology, Karolinska Institutet, Solnavägen 9, 171 77 Stockholm, Sweden.
Muhammad ArifScience for Life Laboratory, KTH - Royal Institute of Technology, Tomtebodavägen 23, 171 65 Stockholm, Sweden.
Bogumil KaczkowskiCenter for Integrative Medical Sciences, RIKEN Yokohama, 1 Chome-7-22 Suehirocho, Tsurumi Ward, Yokohama, Kanagawa 230-0045, Japan.
Andrew Tj KwonCenter for Integrative Medical Sciences, RIKEN Yokohama, 1 Chome-7-22 Suehirocho, Tsurumi Ward, Yokohama, Kanagawa 230-0045, Japan.
Adil MardinogluScience for Life Laboratory, KTH - Royal Institute of Technology, Tomtebodavägen 23, 171 65 Stockholm, Sweden; Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, Guy's Hospital, Great Maze Pond, London, SE1 1UL, United Kingdom.
Erik ArnerCenter for Integrative Medical Sciences, RIKEN Yokohama, 1 Chome-7-22 Suehirocho, Tsurumi Ward, Yokohama, Kanagawa 230-0045, Japan; Graduate School of Integrated Sciences for Life, Hiroshima University, 1 Chome-3-3-2 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-0046, Japan.
Mark A ChapmanDepartment Physiology & Pharmacology, Department Women's and Children's Health, Karolinska Institutet, Solnavägen 9, 171 77 Stockholm, Sweden; Department of Integrated Engineering, University of San Diego, 5998 Alcalà Park, San Diego, CA 92110, USA.
Carl Johan SundbergDepartment Physiology & Pharmacology, Department Women's and Children's Health, Karolinska Institutet, Solnavägen 9, 171 77 Stockholm, Sweden; Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Tomtebodavägen 18A, 171 65 Solna, Sweden; Department of Laboratory Medicine, Karolinska Institutet, Alfred Nobels Allé 8, 141 52 Huddinge, Sweden.
Karolinska Institutet · SERIKEN Center for Integrative Medical Sciences · JPGuy's Hospital · GBHiroshima University · JPScience for Life Laboratory · SEUniversity of San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLong-term high-level exercise training leads to improvements in physical performance and multi-tissue adaptation following changes in molecular pathways. While skeletal muscle baseline differences between exercise-trained and untrained individuals have been previously investigated, it remains unclear how training history influences human multi-omics responses to acute exercise.

methodsWe recruited and extensively characterized 24 individuals categorized as endurance athletes with >15 years of training history, strength athletes or control subjects. Timeseries skeletal muscle biopsies were taken from M. vastus lateralis at three time-points after endurance or resistance exercise was performed and multi-omics molecular analysis performed.

resultsOur analyses revealed distinct activation differences of molecular processes such as fatty- and amino acid metabolism and transcription factors such as HIF1A and the MYF-family. We show that endurance athletes have an increased abundance of carnitine-derivates while strength athletes increase specific phospholipid metabolites compared to control subjects. Additionally, for the first time, we show the metabolite sorbitol to be substantially increased with acute exercise. On transcriptional level, we show that acute resistance exercise stimulates more gene expression than acute endurance exercise. This follows a specific pattern, with endurance athletes uniquely down-regulating pathways related to mitochondria, translation and ribosomes. Finally, both forms of exercise training specialize in diverging transcriptional directions, differentiating themselves from the transcriptome of the untrained control group.

conclusionsWe identify a "transcriptional specialization effect" by transcriptional narrowing and intensification, and molecular specialization effects on metabolomic level Additionally, we performed multi-omics network and cluster analysis, providing a novel resource of skeletal muscle transcriptomic and metabolomic profiling in highly trained and untrained individuals.

Indexed as

Resistance TrainingAthletesExerciseHumansMuscle, SkeletalSystems BiologyAthletesHumanMetabolomicsMolecular exercise effectsMulti-omicsSystems biology

Identifiers

PMID38141850
PMCPMC10805945
OpenAlexW4390063556

What Socratic 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 Socratic graph.