The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Pronounced Effects of Acute Endurance Exercise on Gene Expression in Resting and Exercising Human Skeletal Muscle
Open accessAbstract
Regular physical activity positively influences whole body energy metabolism and substrate handling in exercising muscle. While it is recognized that the effects of exercise extend beyond exercising muscle, it is unclear to what extent exercise impacts non-exercising muscles. Here we investigated the effects of an acute endurance exercise bouts on gene expression in exercising and non-exercising human muscle. To that end, 12 male subjects aged 44-56 performed one hour of one-legged cycling at 50% W(max). Muscle biopsies were taken from the exercising and non-exercising leg before and immediately after exercise and analyzed by microarray. One-legged cycling raised plasma lactate, free fatty acids, cortisol, noradrenalin, and adrenalin levels. Surprisingly, acute endurance exercise not only caused pronounced gene expression changes in exercising muscle but also in non-exercising muscle. In the exercising leg the three most highly induced genes were all part of the NR4A family. Remarkably, many genes induced in non-exercising muscle were PPAR targets or related to PPAR signalling, including PDK4, ANGPTL4 and SLC22A5. Pathway analysis confirmed this finding. In conclusion, our data indicate that acute endurance exercise elicits pronounced changes in gene expression in non-exercising muscle, which are likely mediated by changes in circulating factors such as free fatty acids. The study points to a major influence of exercise beyond the contracting muscle.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Although it is upregulated by SkM after aerobic or resistance exercise [171,172,196], surprisingly, an even greater degree of ANGPTL4 mRNA expression was found in the portion of SkM that remained inactive during the bout of exercise compared with the active SkM [172,196], representing a mechanism to redistribute FFA delivery from unexercised to exercised SkM.”
From The Role of Exercise in the Interplay between Myokines, Hepatokines, Osteokines, Adipokines, and Modulation of Inflammation for Energy Substrate Redistribution and Fat Mass Loss: A Review (2020) · cites this paper as [196]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Although it is upregulated by SkM after aerobic or resistance exercise [171,172,196], surprisingly, an even greater degree of ANGPTL4 mRNA expression was found in the portion of SkM that remained inactive during the bout of exercise compared with the active SkM [172,196], representing a mechanism to redistribute FFA delivery from unexercised to exercised SkM.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
Bolstad, B. M., Irizarry, R. A., Åstrand, M., & Speed, T. P. (2003) · Bioinformatics · doi:10.1093/bioinformatics/19.2.185 · Cited by 8,328
Bindea, G., Mlecnik, B., Hackl, H., Charoentong, P., Tosolini, M., Kirilovsky, A., Fridman, W.-H., Pagès, F., Trajanoski, Z., & Galon, J. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp101 · Cited by 6,280
Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data
Dai, M. (2005) · Nucleic Acids Research · doi:10.1093/nar/gni179 · Cited by 1,807
Krey, G. D., Braissant, O., L’Horset, F., Kalkhoven, E., Perroud, M., Parker, M. G., & Wahli, W. (1997) · Molecular Endocrinology · doi:10.1210/mend.11.6.0007 · Cited by 1,230
Peroxisome proliferator-activated receptor a target genes
Mandard, S., M�ller, M., & Kersten, S. (2004) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-003-3216-3 · Cited by 1,222
Self-citationPeroxisome Proliferator-Activated Receptor Alpha Target Genes
Rakhshandehroo, M., Knoch, B., Müller, M., & Kersten, S. (2010) · PPAR Research · doi:10.1155/2010/612089 · Cited by 1,020
Self-citationTranscriptional regulation of gene expression in human skeletal muscle during recovery from exercise
Pilegaard, H., Ordway, G. A., Saltin, B., & Neufer, P. D. (2000) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.2000.279.4.e806 · Cited by 563
Contralateral effects of unilateral strength training: evidence and possible mechanisms
Carroll, T. J., Herbert, R., Munn, J., Lee, M., & Gandevia, S. C. (2006) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00531.2006 · Cited by 527
Changes in human muscle protein synthesis after resistance exercise
Chesley, A., MacDougall, J. D., Tarnopolsky, M. A., Atkinson, S. A., & Smith, K. (1992) · Journal of Applied Physiology · doi:10.1152/jappl.1992.73.4.1383 · Cited by 436
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–115 of 115
Lee, J., Zhang, D., Kwak, S.-E., Shin, H.-E., Moon, H. Y., & Song, W. J. (2019) · Exercise Science · doi:10.15857/ksep.2019.28.1.49 · Cited by 1
KOCAKULAK, N. A. (2019) · Hacettepe Journal of Biology and Chemistry · doi:10.15671/hjbc.546962 · Cited by 1
Zhang, S. (2013) · VTechWorks (Virginia Tech) · Cited by 1
Reisman, E. G., Taylor, D. F., Yu, D., Huang, C., Bishop, D. J., Caruana, N. J., Hawley, J. A., & Hoffman, N. J. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.08.703653 · Cited by 1
The effect of nonhypertrophic stimuli on satellite cells
Joanisse, S. (2016) · MacSphere (McMaster University) · doi:10.71548/14384
Hangelbroek, R. (2017) · doi:10.18174/425481
Self-citationKOCAKULAK, N. A., TAHERİ, S., Şener, E., Aycan, K., & Özkul, Y. (2020) · Natural and Applied Sciences Journal · doi:10.38061/idunas.726846
KOCAKULAK, N. A., Taheri, S., Şener, E. F., Aycan, K., & Özkul, Y. (2021) · Spor Bilimleri Araştırmaları Dergisi · doi:10.25307/jssr.971105
Fan, Z., Ardicoglu, R., Batavia, A. A., Rust, R., von Ziegler, L., Waag, R., Zhang, J., Desgeorges, T., Sturman, O., Dang, H., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.02.518829
Transcription factors in human skeletal muscle associated with single and regular strength exercises
Lednev, E. M., Makhnovskii, P. A., Vepkhvadze, T. F., Sultanov, R., Zhelankin, A. V., Каныгина, А. В., Popov, D., & Generozov, E. V. (2023) · Medicine of Extreme Situations · doi:10.47183/mes.2023.031
Bizjak, D. A., Nussbaumer, D., Winkert, K., Treff, G., Takabajashi, K., Mentz, L., Schober, F., Buhl, J.-L., John, L., Dreyhaupt, J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26613398
Metadata
- Authors
- Catoire, M., Mensink, M., Boekschoten, M. V., Hangelbroek, R., Müller, M., Schrauwen, P., & Kersten, S.
- Affiliations
- Wageningen University & Research (NL)
- Maastricht University Medical Centre (NL)
- Corresponding author
- Kersten, Sander
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-11-30
- Volume
- 7
- Issue
- 11
- Pages
- e51066
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3511348
- OpenAlex
- W2098809392
- Cited by
- 116
- References
- 51
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 10 · 2023: 6 · 2022: 7 · 2021: 9 · 2020: 14 · 2019: 12 · 2018: 8 · 2017: 10 · 2016: 9 · 2015: 8 · 2014: 9 · 2013: 10
- FWCI
- 9.14
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, cc-by)
- Socio-Environmental Systems Modeling (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- UEA Digital Repository (University of East Anglia) (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Exercise and Physiological Responses
- Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Peroxisome Proliferator-Activated Receptors
- Keywords
- acute endurance exercise, skeletal muscle gene expression, PPAR signaling, PDK4, ANGPTL4, SLC22A5, free fatty acids, circulating factors, plasma lactate, cortisol, norepinephrine, energy metabolism
- MeSH terms
- Fatty Acids, Nonesterified, Gene Expression Regulation, Heart Rate, Humans, Hydrocortisone, Insulin, Leg, Male, Middle Aged, Norepinephrine, Physical Endurance, Rest, Transcription Factors, Exercise, Up-Regulation, Muscle, Skeletal, Gene Regulatory Networks
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
