Evidence map›Paper›PMID 35854646›Full record

ArticlePhysiological reports2022

MRI characterization of skeletal muscle size and fatty infiltration in long-term trained and untrained individuals.

Eric B Emanuelsson, David B Berry, Stefan M Reitzner, Muhammad Arif, Adil Mardinoglu, Thomas Gustafsson, Samuel R Ward, Carl Johan Sundberg, Mark A Chapman

Open access · goldAbstract read
In one paragraph

Article in Physiological reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 18% 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, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. The Immune System as a Biosensor of Health and Athletic Performance.Scandinavian journal of medicine & science in sports · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. Fat-Free Mass: Friend or Foe to Metabolic Health?Journal of cachexia, sarcopenia and muscle · 2025
    Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. 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

9 authors at 6 institutions in 3 countries.

Eric B EmanuelssonDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
David B BerryDepartment of Nanoengineering, University of California San Diego, La Jolla, California, USA.
Stefan M ReitznerDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-0151-2780
Muhammad ArifScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.
Adil MardinogluScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.
Thomas GustafssonDepartment of Laboratory Medicine, Karolinska Institutet, Huddinge, Sweden.
Samuel R WardDepartment of Orthopaedic Surgery, University of California San Diego, La Jolla, California, USA.
Carl Johan SundbergDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
Mark A ChapmanDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-9905-4022
Karolinska Institutet · SEUniversity of California San Diego · USKarolinska University Hospital · SEKing's College London · GBScience for Life Laboratory · SEUniversity of San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated body composition measures in highly trained and untrained individuals using whole-body magnetic resonance imaging (MRI). Additionally, correlations between these measures and skeletal muscle gene expression were performed. Thirty-six individuals were included: endurance-trained males (ME, n = 8) and females (FE, n = 7), strength-trained males (MS, n = 7), and untrained control males (MC, n = 8) and females (FC, n = 6). MRI scans were performed, and resting M. vastus lateralis (VL) biopsies were subjected to RNA sequencing. Liver fat fraction, visceral adipose tissue volume (VAT), total body fat, and total lean tissue were measured from MRI data. Additionally, cross-sectional area (CSA) and fat signal fraction (FSF) were calculated from Mm. pectoralis, M. erector spinae and M. multifidus combined, Mm. quadriceps, and Mm. triceps surae (TS). Liver fat fraction, VAT, and total body fat relative to body weight were lower in ME and FE compared with corresponding controls. MS had a larger CSA across all four muscle groups and lower FSF in all muscles apart from TS compared with MC. ME had a lower FSF across all muscle groups and a larger CSA in all muscles except TS than MC. FE athletes showed a higher CSA in Mm. pectoralis and Mm. quadriceps and a lower CSA in TS than FC with no CSA differences found in the back muscles investigated. Surprisingly, the only difference in FSF between FE and FC was found in Mm. pectoralis. Lastly, correlations between VL gene expression and VL CSA as well as FSF showed that genes positively correlated with CSA revealed an enrichment of the oxidative phosphorylation and thermogenesis pathways, while the genes positively correlated with FSF showed significant enrichment of the spliceosome pathway. Although limited differences were found with training in females, our study suggests that both regular endurance and resistance training are useful in maintaining muscle mass, reducing adipose tissue deposits, and reducing muscle fat content in males.

Indexed as

Magnetic Resonance ImagingWhole Body ImagingAdipose TissueBody CompositionFemaleHumansMaleMuscle, SkeletalParaspinal Musclesadipose tissueendurance traininghumanresistance training

Identifiers

PMID35854646
PMCPMC9296904
OpenAlexW4286250657

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.