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Thomas ACQ, Stead CA, Burniston JG, Phillips SM. Exercise-specific adaptations in human skeletal muscle: Molecular mechanisms of making muscles fit and mighty. Free Radic Biol Med 2024; 223:341-356. [PMID: 39147070 DOI: 10.1016/j.freeradbiomed.2024.08.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 07/30/2024] [Accepted: 08/09/2024] [Indexed: 08/17/2024]
Abstract
The mechanisms leading to a predominantly hypertrophied phenotype versus a predominantly oxidative phenotype, the hallmarks of resistance training (RT) or aerobic training (AT), respectively, are being unraveled. In humans, exposure of naïve persons to either AT or RT results in their skeletal muscle exhibiting generic 'exercise stress-related' signaling, transcription, and translation responses. However, with increasing engagement in AT or RT, the responses become refined, and the phenotype typically associated with each form of exercise emerges. Here, we review some of the mechanisms underpinning the adaptations of how muscles become, through AT, 'fit' and RT, 'mighty.' Much of our understanding of molecular exercise physiology has arisen from targeted analysis of post-translational modifications and measures of protein synthesis. Phosphorylation of specific residue sites has been a dominant focus, with canonical signaling pathways (AMPK and mTOR) studied extensively in the context of AT and RT, respectively. These alone, along with protein synthesis, have only begun to elucidate key differences in AT and RT signaling. Still, key yet uncharacterized differences exist in signaling and regulation of protein synthesis that drive unique adaptation to AT and RT. Omic studies are required to better understand the divergent relationship between exercise and phenotypic outcomes of training.
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Affiliation(s)
- Aaron C Q Thomas
- Protein Metabolism Research Lab, Department of Kinesiology, McMaster University, Hamilton, ON, Canada; Research Institute for Sport & Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom
| | - Connor A Stead
- Research Institute for Sport & Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom
| | - Jatin G Burniston
- Research Institute for Sport & Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom
| | - Stuart M Phillips
- Protein Metabolism Research Lab, Department of Kinesiology, McMaster University, Hamilton, ON, Canada.
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Cotter JA, Plaza-Florido A, Adams GR, Haddad F, Scott JM, Everett M, Ploutz-Snyder L, Radom-Aizik S. Exercise Training Attenuates the Muscle Mitochondria Genomic Response to Bed Rest. Med Sci Sports Exerc 2024; 56:1615-1622. [PMID: 38650118 PMCID: PMC11326991 DOI: 10.1249/mss.0000000000003457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
PURPOSE Exercise training during the National Aeronautics and Space Administration 70-d bed rest study effectively counteracted the decline in aerobic capacity, muscle mass, strength, and endurance. We aimed to characterize the genomic response of the participants' vastus lateralis on day 64 of bed rest with and without exercise countermeasures. METHODS Twenty-two healthy young males were randomized into three groups: 1) bed rest only ( n = 7), 2) bed rest + aerobic (6 d·wk -1 ) and resistance training (3 d·wk -1 ) on standard equipment ( n = 7), and 3) bed rest + aerobic and resistance training using a flywheel device ( n = 8). The vastus lateralis gene and microRNA microarrays were analyzed using GeneSpring GX 14.9.1 (Agilent Technologies, Palo Alto, CA). RESULTS Bed rest significantly altered the expression of 2113 annotated genes in at least one out of the three study groups (fold change (FC) > 1.2; P < 0.05). Interaction analysis revealed that exercise attenuated the bed rest effect of 511 annotated genes (FC = 1.2, P < 0.05). In the bed rest only group, a predominant downregulation of genes was observed, whereas in the two exercise groups, there was a notable attenuation or reversal of this effect, with no significant differences between the two exercise modalities. Enrichment analysis identified functional categories and gene pathways, many of them related to the mitochondria. In addition, bed rest significantly altered the expression of 35 microRNAs (FC > 1.2, P < 0.05) with no difference between the three groups. Twelve are known to regulate some of the mitochondrial-related genes that were altered following bed rest. CONCLUSIONS Mitochondrial gene expression was a significant component of the molecular response to long-term bed rest. Although exercise attenuated the FC in the downregulation of many genes, it did not completely counteract all the molecular consequences.
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Affiliation(s)
- Joshua A. Cotter
- Pediatric Exercise and Genomics Research Center, School of Medicine, University of California, Irvine, CA
- Physiology of EXercise and Sport (PEXS) Laboratory, Department of Kinesiology, California State University, Long Beach, CA
| | - Abel Plaza-Florido
- Pediatric Exercise and Genomics Research Center, School of Medicine, University of California, Irvine, CA
| | - Gregory R. Adams
- Department of Physiology and Biophysics, School of Medicine, University of California, Irvine, CA
| | - Fadia Haddad
- Pediatric Exercise and Genomics Research Center, School of Medicine, University of California, Irvine, CA
| | - Jessica M. Scott
- Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Meghan Everett
- National Aeronautics and Space Administration (NASA), Houston, TX
| | | | - Shlomit Radom-Aizik
- Pediatric Exercise and Genomics Research Center, School of Medicine, University of California, Irvine, CA
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Makhnovskii PA, Kukushkina IV, Kurochkina NS, Popov DV. Knockout of Hsp70 genes significantly affects locomotion speed and gene expression in leg skeletal muscles of Drosophila melanogaster. Physiol Genomics 2024; 56:567-575. [PMID: 38881428 DOI: 10.1152/physiolgenomics.00143.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 05/31/2024] [Accepted: 06/11/2024] [Indexed: 06/18/2024] Open
Abstract
The functions of the heat shock protein 70 (Hsp70) genes were studied using a line of Drosophila melanogaster with a knockout of 6 of these genes out of 13. Namely, the effect of knockout of Hsp70 genes on negative geotaxis climbing (locomotor) speed and the ability to adapt to climbing training (0.5-1.5 h/day, 7 days/wk, 19 days) were examined. Seven- and 23-day-old Hsp70- flies demonstrated a comparable reduction (twofold) in locomotor speed and widespread changes in leg skeletal muscle transcriptome (RNA sequencing) compared with w1118 flies. To identify the functions of genes related to decreased locomotor speed, the overlapped differentially expressed genes at both time points were analyzed: the upregulated genes encoded extracellular proteins, regulators of drug metabolism, and the antioxidant response, whereas downregulated genes encoded regulators of carbohydrate metabolism and transmembrane proteins. In addition, in Hsp70- flies, activation of transcription factors related to disruption of the fibril structure and heat shock response (Hsf) was predicted, using the position weight matrix approach. In control flies, adaptation to chronic exercise training was associated mainly with gene response to a single exercise bout, whereas the predicted transcription factors were related to stress/immune (Hsf, NF-κB, etc.) and early gene response. In contrast, Hsp70- flies demonstrated no adaptation to training as well as a significantly impaired gene response to a single exercise bout. In conclusion, the knockout of Hsp70 genes not only reduced physical performance but also disrupted adaptation to chronic physical training, which is associated with changes in the leg skeletal muscle transcriptome and impaired gene response to a single exercise bout.NEW & NOTEWORTHY Knockout of six heat shock protein 70 (Hsp70) genes in Drosophila melanogaster reduced locomotion (climbing) speed that is associated with genotype-specific differences in leg skeletal muscle gene expression. Disrupted adaptation of Hsp70- flies to chronic exercise training is associated with impaired gene response to a single exercise bout.
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Affiliation(s)
- Pavel A Makhnovskii
- Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia
| | - Inna V Kukushkina
- Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia
- Lomonosov Moscow State University, Moscow, Russia
| | - Nadia S Kurochkina
- Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia
| | - Daniil V Popov
- Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia
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Makhnovskii PA, Gusev OA, Bokov RO, Gazizova GR, Vepkhvadze TF, Lysenko EA, Vinogradova OL, Kolpakov FA, Popov DV. Alternative transcription start sites contribute to acute-stress-induced transcriptome response in human skeletal muscle. Hum Genomics 2022; 16:24. [PMID: 35869513 PMCID: PMC9308330 DOI: 10.1186/s40246-022-00399-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 07/14/2022] [Indexed: 11/18/2022] Open
Abstract
Background More than half of human protein-coding genes have an alternative transcription start site (TSS). We aimed to investigate the contribution of alternative TSSs to the acute-stress-induced transcriptome response in human tissue (skeletal muscle) using the cap analysis of gene expression approach. TSSs were examined at baseline and during recovery after acute stress (a cycling exercise). Results We identified 44,680 CAGE TSS clusters (including 3764 first defined) belonging to 12,268 genes and annotated for the first time 290 TSSs belonging to 163 genes. The transcriptome dynamically changes during the first hours after acute stress; the change in the expression of 10% of genes was associated with the activation of alternative TSSs, indicating differential TSSs usage. The majority of the alternative TSSs do not increase proteome complexity suggesting that the function of thousands of alternative TSSs is associated with the fine regulation of mRNA isoform expression from a gene due to the transcription factor-specific activation of various alternative TSSs. We identified individual muscle promoter regions for each TSS using muscle open chromatin data (ATAC-seq and DNase-seq). Then, using the positional weight matrix approach we predicted time course activation of “classic” transcription factors involved in response of skeletal muscle to contractile activity, as well as diversity of less/un-investigated factors. Conclusions Transcriptome response induced by acute stress related to activation of the alternative TSSs indicates that differential TSSs usage is an essential mechanism of fine regulation of gene response to stress stimulus. A comprehensive resource of accurate TSSs and individual promoter regions for each TSS in muscle was created. This resource together with the positional weight matrix approach can be used to accurate prediction of TFs in any gene(s) of interest involved in the response to various stimuli, interventions or pathological conditions in human skeletal muscle. Supplementary Information The online version contains supplementary material available at 10.1186/s40246-022-00399-8.
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Smith LB, Anderson CV, Withangage MHH, Koch A, Roberts TJ, Liebl AL. Relationship between gene expression networks and muscle contractile physiology differences in Anolis lizards. J Comp Physiol B 2022; 192:489-499. [PMID: 35596083 DOI: 10.1007/s00360-022-01441-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 04/11/2022] [Accepted: 04/26/2022] [Indexed: 12/12/2022]
Abstract
Muscles facilitate most animal behavior, from eating to fleeing. However, to generate the variation in behavior necessary for survival, different muscles must perform differently; for instance, sprinting requires multiple rapid muscle contractions, whereas biting may require fewer contractions but greater force. Here, we use a transcriptomic approach to identify genes associated with variation in muscle contractile physiology among different muscles from the same individual. We measured differential gene expression between a leg and jaw muscle of Anolis lizards known to differ in muscle contractile physiology and performance. For each individual, one muscle was used to measure muscle contractile physiology, including contractile velocity (Vmax and V40), specific tension, power ratio, and twitch time, whereas the contralateral muscle was used to extract RNA for transcriptomic sequencing. Using the transcriptomic data, we found clear clustering of muscle type. Expression of genes clustered in gene ontology (GO) terms related to muscle contraction and extracellular matrix was, on average, negatively correlated with Vmax and slower twitch times but positively correlated to power ratio and V40. Conversely, genes related to the GO terms related to aerobic respiration were downregulated in muscles with higher power ratio and V40, and over-expressed as twitch time decreased. Determining the molecular mechanisms that underlie variation in muscle contractile physiology can begin to explain how organisms are able to optimize behavior under variable conditions. Future studies pursuing the effects of differential gene expression across muscle types in different environments might inform researchers about how differences develop across species, populations, and individuals varying in ecological history.
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Affiliation(s)
- Luke B Smith
- Department of Biology, University of South Dakota, Vermillion, SD, USA.,Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA
| | | | - Miyuraj H Hikkaduwa Withangage
- Department of Biology, University of South Dakota, Vermillion, SD, USA.,College of Dentistry and Dental Clinics, University of Iowa, Iowa City, IA, USA
| | - Andrew Koch
- Department of Biology, University of South Dakota, Vermillion, SD, USA
| | - Thomas J Roberts
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, USA
| | - Andrea L Liebl
- Department of Biology, University of South Dakota, Vermillion, SD, USA.
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Orozco CA, González-Giraldo Y, Bonilla DA, Forero DA. An in silico analysis of genome-wide expression profiles of the effects of exhaustive exercise identifies heat shock proteins as the key players. Meta Gene 2022. [DOI: 10.1016/j.mgene.2022.101012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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Zancanaro C. Muscle Research: A Tour d'Horizon. Int J Mol Sci 2022; 23:ijms23031585. [PMID: 35163508 PMCID: PMC8835776 DOI: 10.3390/ijms23031585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 01/26/2022] [Indexed: 12/10/2022] Open
Affiliation(s)
- Carlo Zancanaro
- Department of Neurological and Movement Sciences, University of Verona, I-37100 Verona, Italy
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Sellami M, Elrayess MA, Puce L, Bragazzi NL. Molecular Big Data in Sports Sciences: State-of-Art and Future Prospects of OMICS-Based Sports Sciences. Front Mol Biosci 2022; 8:815410. [PMID: 35087871 PMCID: PMC8787195 DOI: 10.3389/fmolb.2021.815410] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 12/20/2021] [Indexed: 01/04/2023] Open
Abstract
Together with environment and experience (that is to say, diet and training), the biological and genetic make-up of an athlete plays a major role in exercise physiology. Sports genomics has shown, indeed, that some DNA single nucleotide polymorphisms (SNPs) can be associated with athlete performance and level (such as elite/world-class athletic status), having an impact on physical activity behavior, endurance, strength, power, speed, flexibility, energetic expenditure, neuromuscular coordination, metabolic and cardio-respiratory fitness, among others, as well as with psychological traits. Athletic phenotype is complex and depends on the combination of different traits and characteristics: as such, it requires a “complex science,” like that of metadata and multi-OMICS profiles. Several projects and trials (like ELITE, GAMES, Gene SMART, GENESIS, and POWERGENE) are aimed at discovering genomics-based biomarkers with an adequate predictive power. Sports genomics could enable to optimize and maximize physical performance, as well as it could predict the risk of sports-related injuries. Exercise has a profound impact on proteome too. Proteomics can assess both from a qualitative and quantitative point of view the modifications induced by training. Recently, scholars have assessed the epigenetics changes in athletes. Summarizing, the different omics specialties seem to converge in a unique approach, termed sportomics or athlomics and defined as a “holistic and top-down,” “non-hypothesis-driven research on an individual’s metabolite changes during sports and exercise” (the Athlome Project Consortium and the Santorini Declaration) Not only sportomics includes metabonomics/metabolomics, but relying on the athlete’s biological passport or profile, it would enable the systematic study of sports-induced changes and effects at any level (genome, transcriptome, proteome, etc.). However, the wealth of data is so huge and massive and heterogenous that new computational algorithms and protocols are needed, more computational power is required as well as new strategies for properly and effectively combining and integrating data.
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Affiliation(s)
- Maha Sellami
- Physical Education Department, College of Education, Qatar University, Doha, Qatar
| | - Mohamed A. Elrayess
- Biomedical Research Center, Qatar University, Doha, Qatar
- QU Health, Qatar University, Doha, Qatar
| | - Luca Puce
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Nicola Luigi Bragazzi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, ON, Canada
- Postgraduate School of Public Health, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
- Section of Musculoskeletal Disease, National Institute for Health Research (NIHR) Leeds Musculoskeletal Biomedical Research Unit, Leeds Institute of Molecular Medicine, Chapel Allerton Hospital, University of Leeds, Leeds, United Kingdom
- *Correspondence: Nicola Luigi Bragazzi,
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Lin W, Saner NJ, Weng X, Caruana NJ, Botella J, Kuang J, Lee MJC, Jamnick NA, Pitchford NW, Garnham A, Bartlett JD, Chen H, Bishop DJ. The Effect of Sleep Restriction, With or Without Exercise, on Skeletal Muscle Transcriptomic Profiles in Healthy Young Males. Front Endocrinol (Lausanne) 2022; 13:863224. [PMID: 35937838 PMCID: PMC9355502 DOI: 10.3389/fendo.2022.863224] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 06/22/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Inadequate sleep is associated with many detrimental health effects, including increased risk of developing insulin resistance and type 2 diabetes. These effects have been associated with changes to the skeletal muscle transcriptome, although this has not been characterised in response to a period of sleep restriction. Exercise induces a beneficial transcriptional response within skeletal muscle that may counteract some of the negative effects associated with sleep restriction. We hypothesised that sleep restriction would down-regulate transcriptional pathways associated with glucose metabolism, but that performing exercise would mitigate these effects. METHODS 20 healthy young males were allocated to one of three experimental groups: a Normal Sleep (NS) group (8 h time in bed per night (TIB), for five nights (11 pm - 7 am)), a Sleep Restriction (SR) group (4 h TIB, for five nights (3 am - 7 am)), and a Sleep Restriction and Exercise group (SR+EX) (4 h TIB, for five nights (3 am - 7 am) and three high-intensity interval exercise (HIIE) sessions (performed at 10 am)). RNA sequencing was performed on muscle samples collected pre- and post-intervention. Our data was then compared to skeletal muscle transcriptomic data previously reported following sleep deprivation (24 h without sleep). RESULTS Gene set enrichment analysis (GSEA) indicated there was an increased enrichment of inflammatory and immune response related pathways in the SR group post-intervention. However, in the SR+EX group the direction of enrichment in these same pathways occurred in the opposite directions. Despite this, there were no significant changes at the individual gene level from pre- to post-intervention. A set of genes previously shown to be decreased with sleep deprivation was also decreased in the SR group, but increased in the SR+EX group. CONCLUSION The alterations to inflammatory and immune related pathways in skeletal muscle, following five nights of sleep restriction, provide insight regarding the transcriptional changes that underpin the detrimental effects associated with sleep loss. Performing three sessions of HIIE during sleep restriction attenuated some of these transcriptional changes. Overall, the transcriptional alterations observed with a moderate period of sleep restriction were less evident than previously reported changes following a period of sleep deprivation.
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Affiliation(s)
- Wentao Lin
- College of Exercise and Health, Guangzhou Sport University, Guangzhou, China
| | - Nicholas J. Saner
- Institute for Health and Sport, Victoria University, Melbourne, VIC, Australia
- Human Integrative Physiology, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Xiquan Weng
- College of Exercise and Health, Guangzhou Sport University, Guangzhou, China
| | - Nikeisha J. Caruana
- Institute for Health and Sport, Victoria University, Melbourne, VIC, Australia
- Department of Biochemistry and Pharmacology and Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Javier Botella
- Department of Biochemistry and Pharmacology and Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Jujiao Kuang
- Institute for Health and Sport, Victoria University, Melbourne, VIC, Australia
| | - Matthew J-C. Lee
- Institute for Health and Sport, Victoria University, Melbourne, VIC, Australia
| | - Nicholas A. Jamnick
- Metabolic Research Unit, Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Nathan W. Pitchford
- School of Health Sciences, University of Tasmania, Launceston, TAS, Australia
| | - Andrew Garnham
- Institute for Health and Sport, Victoria University, Melbourne, VIC, Australia
| | | | - Hao Chen
- College of Exercise and Health, Guangzhou Sport University, Guangzhou, China
- *Correspondence: Hao Chen, ; David J. Bishop,
| | - David J. Bishop
- Institute for Health and Sport, Victoria University, Melbourne, VIC, Australia
- *Correspondence: Hao Chen, ; David J. Bishop,
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Bizjak DA, Zügel M, Treff G, Winkert K, Jerg A, Hudemann J, Mooren FC, Krüger K, Nieß A, Steinacker JM. Effects of Training Status and Exercise Mode on Global Gene Expression in Skeletal Muscle. Int J Mol Sci 2021; 22:ijms222212578. [PMID: 34830458 PMCID: PMC8674764 DOI: 10.3390/ijms222212578] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/14/2021] [Accepted: 11/17/2021] [Indexed: 12/29/2022] Open
Abstract
The aim of this study was to investigate differences in skeletal muscle gene expression of highly trained endurance and strength athletes in comparison to untrained individuals at rest and in response to either an acute bout of endurance or strength exercise. Endurance (ET, n = 8, VO2max 67 ± 9 mL/kg/min) and strength athletes (ST, n = 8, 5.8 ± 3.0 training years) as well as untrained controls (E-UT and S-UT, each n = 8) performed an acute endurance or strength exercise test. One day before testing (Pre), 30 min (30'Post) and 3 h (180'Post) afterwards, a skeletal muscle biopsy was obtained from the m. vastus lateralis. Skeletal muscle mRNA was isolated and analyzed by Affymetrix-microarray technology. Pathway analyses were performed to evaluate the effects of training status (trained vs. untrained) and exercise mode-specific (ET vs. ST) transcriptional responses. Differences in global skeletal muscle gene expression between trained and untrained were smaller compared to differences in exercise mode. Maximum differences between ET and ST were found between Pre and 180'Post. Pathway analyses showed increased expression of exercise-related genes, such as nuclear transcription factors (NR4A family), metabolism and vascularization (PGC1-α and VEGF-A), and muscle growth/structure (myostatin, IRS1/2 and HIF1-α. The most upregulated genes in response to acute endurance or strength exercise were the NR4A genes (NR4A1, NR4A2, NR4A3). The mode of acute exercise had a significant effect on transcriptional regulation Pre vs. 180'Post. In contrast, the effect of training status on human skeletal muscle gene expression profiles was negligible compared to strength or endurance specialization. The highest variability in gene expression, especially for the NR4A-family, was observed in trained individuals at 180'Post. Assessment of these receptors might be suitable to obtain a deeper understanding of skeletal muscle adaptive processes to develop optimized training strategies.
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Affiliation(s)
- Daniel A. Bizjak
- Division of Sports and Rehabilitation Medicine, Department of Internal Medicine II, University of Ulm, 89075 Ulm, Germany; (M.Z.); (G.T.); (K.W.); (A.J.); (J.M.S.)
- Correspondence: ; Tel.: +49-73150045368; Fax: +49-73150045301
| | - Martina Zügel
- Division of Sports and Rehabilitation Medicine, Department of Internal Medicine II, University of Ulm, 89075 Ulm, Germany; (M.Z.); (G.T.); (K.W.); (A.J.); (J.M.S.)
| | - Gunnar Treff
- Division of Sports and Rehabilitation Medicine, Department of Internal Medicine II, University of Ulm, 89075 Ulm, Germany; (M.Z.); (G.T.); (K.W.); (A.J.); (J.M.S.)
| | - Kay Winkert
- Division of Sports and Rehabilitation Medicine, Department of Internal Medicine II, University of Ulm, 89075 Ulm, Germany; (M.Z.); (G.T.); (K.W.); (A.J.); (J.M.S.)
| | - Achim Jerg
- Division of Sports and Rehabilitation Medicine, Department of Internal Medicine II, University of Ulm, 89075 Ulm, Germany; (M.Z.); (G.T.); (K.W.); (A.J.); (J.M.S.)
| | - Jens Hudemann
- Department of Sports Medicine, University Hospital Tübingen, 72074 Tübingen, Germany; (J.H.); (A.N.)
| | - Frank C. Mooren
- Department of Medicine, Faculty of Health, University of Witten/Herdecke, 58455 Witten, Germany;
| | - Karsten Krüger
- Department of Exercise Physiology and Sports Therapy, University of Gießen, 35394 Gießen, Germany;
| | - Andreas Nieß
- Department of Sports Medicine, University Hospital Tübingen, 72074 Tübingen, Germany; (J.H.); (A.N.)
| | - Jürgen M. Steinacker
- Division of Sports and Rehabilitation Medicine, Department of Internal Medicine II, University of Ulm, 89075 Ulm, Germany; (M.Z.); (G.T.); (K.W.); (A.J.); (J.M.S.)
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Vepkhvadze TF, Vorotnikov AV, Popov DV. Electrical Stimulation of Cultured Myotubes in vitro as a Model of Skeletal Muscle Activity: Current State and Future Prospects. BIOCHEMISTRY (MOSCOW) 2021; 86:597-610. [PMID: 33993862 DOI: 10.1134/s0006297921050084] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Skeletal muscles comprise more than a third of human body mass and critically contribute to regulation of body metabolism. Chronic inactivity reduces metabolic activity and functional capacity of muscles, leading to metabolic and other disorders, reduced life quality and duration. Cellular models based on progenitor cells isolated from human muscle biopsies and then differentiated into mature fibers in vitro can be used to solve a wide range of experimental tasks. The review discusses the aspects of myogenesis dynamics and regulation, which might be important in the development of an adequate cell model. The main function of skeletal muscle is contraction; therefore, electrical stimulation is important for both successful completion of myogenesis and in vitro modeling of major processes induced in the skeletal muscle by acute or regular physical exercise. The review analyzes the drawbacks of such cellular model and possibilities for its optimization, as well as the prospects for its further application to address fundamental aspects of muscle physiology and biochemistry and explore cellular and molecular mechanisms of metabolic diseases.
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Affiliation(s)
- Tatiana F Vepkhvadze
- Institute of Biomedical Problems, Russian Academy of Sciences, Moscow, 123007, Russia
| | - Alexander V Vorotnikov
- National Medical Research Center of Cardiology, Ministry of Healthcare of the Russian Federation, Moscow, 121552, Russia
| | - Daniil V Popov
- Institute of Biomedical Problems, Russian Academy of Sciences, Moscow, 123007, Russia. .,Faculty of Fundamental Medicine, Lomonosov Moscow State University, Moscow, 119991, Russia
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