Evidence map›Paper›PMID 36273106›Full record

ArticleCommunications biology2022

Single-cell sequencing deconvolutes cellular responses to exercise in human skeletal muscle.

Alen Lovrić, Ali Rassolie, Seher Alam, Mirko Mandić, Amarjit Saini, Mikael Altun, Rodrigo Fernandez-Gonzalo, Thomas Gustafsson, Eric Rullman

Abstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
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

28 citing papers in PubMed.

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  10. Distinct endothelial gene responses to acute exercise in skeletal muscle.American journal of physiology. Endocrinology and metabolism · 2025
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  11. Article
  12. Article
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  15. Multi-omics delineate growth factor network underlying exercise effects in an Alzheimer's mouse model.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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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.

Alen Lovrić *Department of Laboratory Medicine, Section of Clinical Physiology, Karolinska Institutet Huddinge, Huddinge, Sweden.
Ali Rassolie *Department of Laboratory Medicine, Section of Clinical Physiology, Karolinska Institutet Huddinge, Huddinge, Sweden.
Seher AlamDepartment of Laboratory Medicine, Section of Clinical Physiology, Karolinska Institutet Huddinge, Huddinge, Sweden.
Mirko MandićDepartment of Laboratory Medicine, Section of Clinical Physiology, Karolinska Institutet Huddinge, Huddinge, Sweden.
Amarjit SainiDepartment of Laboratory Medicine, Section of Clinical Physiology, Karolinska Institutet Huddinge, Huddinge, Sweden.
Mikael AltunDepartment of Laboratory Medicine, Section of Clinical Physiology, Karolinska Institutet Huddinge, Huddinge, Sweden.ORCID 0000-0002-6937-6124
Rodrigo Fernandez-GonzaloDepartment of Laboratory Medicine, Section of Clinical Physiology, Karolinska Institutet Huddinge, Huddinge, Sweden.
Thomas GustafssonDepartment of Laboratory Medicine, Section of Clinical Physiology, Karolinska Institutet Huddinge, Huddinge, Sweden.
Eric RullmanDepartment of Laboratory Medicine, Section of Clinical Physiology, Karolinska Institutet Huddinge, Huddinge, Sweden. eric.rullman@ki.se.ORCID 0000-0003-2854-7262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle adaptations to exercise have been associated with a range of health-related benefits, but cell type-specific adaptations within the muscle are incompletely understood. Here we use single-cell sequencing to determine the effects of exercise on cellular composition and cell type-specific processes in human skeletal muscle before and after intense exercise. Fifteen clusters originating from six different cell populations were identified. Most cell populations remained quantitatively stable after exercise, but a large transcriptional response was observed in mesenchymal, endothelial, and myogenic cells, suggesting that these cells are specifically involved in skeletal muscle remodeling. We found three subpopulations of myogenic cells characterized by different maturation stages based on the expression of markers such as PAX7, MYOD1, TNNI1, and TNNI2. Exercise accelerated the trajectory of myogenic progenitor cells towards maturation by increasing the transcriptional features of fast- and slow-twitch muscle fibers. The transcriptional regulation of these contractile elements upon differentiation was validated in vitro on primary myoblast cells. The cell type-specific adaptive mechanisms induced by exercise presented here contribute to the understanding of the skeletal muscle adaptations triggered by physical activity and may ultimately have implications for physiological and pathological processes affecting skeletal muscle, such as sarcopenia, cachexia, and glucose homeostasis.

Indexed as

Muscle ContractionMuscle, SkeletalExerciseGlucoseHumansMuscle DevelopmentGlucose

Identifiers

PMID36273106
PMCPMC9588010

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.