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Jacques M, Landen S, Romero JA, Hiam D, Schittenhelm RB, Hanchapola I, Shah AD, Voisin S, Eynon N. Methylome and proteome integration in human skeletal muscle uncover group and individual responses to high-intensity interval training. FASEB J 2023; 37:e23184. [PMID: 37698381 DOI: 10.1096/fj.202300840rr] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 08/17/2023] [Accepted: 08/24/2023] [Indexed: 09/13/2023]
Abstract
Exercise is a major beneficial contributor to muscle metabolism, and health benefits acquired by exercise are a result of molecular shifts occurring across multiple molecular layers (i.e., epigenome, transcriptome, and proteome). Identifying robust, across-molecular level targets associated with exercise response, at both group and individual levels, is paramount to develop health guidelines and targeted health interventions. Sixteen, apparently healthy, moderately trained (VO2 max = 51.0 ± 10.6 mL min-1 kg-1 ) males (age range = 18-45 years) from the Gene SMART (Skeletal Muscle Adaptive Responses to Training) study completed a longitudinal study composed of 12-week high-intensity interval training (HIIT) intervention. Vastus lateralis muscle biopsies were collected at baseline and after 4, 8, and 12 weeks of HIIT. DNA methylation (~850 CpG sites) and proteomic (~3000 proteins) analyses were conducted at all time points. Mixed models were applied to estimate group and individual changes, and methylome and proteome integration was conducted using a holistic multilevel approach with the mixOmics package. A total of 461 proteins significantly changed over time (at 4, 8, and 12 weeks), whilst methylome overall shifted with training only one differentially methylated position (DMP) was significant (adj.p-value < .05). K-means analysis revealed cumulative protein changes by clusters of proteins that presented similar changes over time. Individual responses to training were observed in 101 proteins. Seven proteins had large effect-sizes >0.5, among them are two novel exercise-related proteins, LYRM7 and EPN1. Integration analysis showed bidirectional relationships between the methylome and proteome. We showed a significant influence of HIIT on the epigenome and more so on the proteome in human muscle, and uncovered groups of proteins clustering according to similar patterns across the exercise intervention. Individual responses to exercise were observed in the proteome with novel mitochondrial and metabolic proteins consistently changed across individuals. Future work is required to elucidate the role of these proteins in response to exercise.
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Affiliation(s)
- Macsue Jacques
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, Victoria, Australia
| | - Shanie Landen
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, Victoria, Australia
| | - Javier Alvarez Romero
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, Victoria, Australia
| | - Danielle Hiam
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, Victoria, Australia
- Institute of Nutrition and Health Sciences, Deakin University, Melbourne, Victoria, Australia
| | - Ralf B Schittenhelm
- Monash Proteomics & Metabolomics Facility, Monash University, Melbourne, Victoria, Australia
| | - Iresha Hanchapola
- Monash Proteomics & Metabolomics Facility, Monash University, Melbourne, Victoria, Australia
| | - Anup D Shah
- Monash Proteomics & Metabolomics Facility, Monash University, Melbourne, Victoria, Australia
| | - Sarah Voisin
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, Victoria, Australia
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nir Eynon
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, Victoria, Australia
- Australian Regenerative Medicine Institute, Monash University, Melbourne, Victoria, Australia
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LaRocca TJ, Smith ME, Freeberg KA, Craighead DH, Helmuth T, Robinson MM, Nair KS, Bryan AD, Seals DR. Novel whole blood transcriptome signatures of changes in maximal aerobic capacity in response to endurance exercise training in healthy women. Physiol Genomics 2023; 55:338-344. [PMID: 37335021 PMCID: PMC10396280 DOI: 10.1152/physiolgenomics.00017.2023] [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: 03/14/2023] [Revised: 05/26/2023] [Accepted: 05/27/2023] [Indexed: 06/21/2023] Open
Abstract
Maximal aerobic exercise capacity [maximal oxygen consumption (V̇o2max)] is one of the strongest predictors of morbidity and mortality. Aerobic exercise training can increase V̇o2max, but inter-individual variability is marked and unexplained physiologically. The mechanisms underlying this variability have major clinical implications for extending human healthspan. Here, we report a novel transcriptome signature related to ΔV̇o2max with exercise training detected in whole blood RNA. We used RNA-Seq to characterize transcriptomic signatures of ΔV̇o2max in healthy women who completed a 16-wk randomized controlled trial comparing supervised, higher versus lower aerobic exercise training volume and intensity (4 training groups, fully crossed). We found significant baseline gene expression differences in subjects who responded to aerobic exercise training with robust versus little/no ΔV̇o2max, and differentially expressed genes/transcripts were mostly related to inflammatory signaling and mitochondrial function/protein translation. Baseline gene expression signatures associated with robust versus little/no ΔV̇o2max were also modulated by exercise training in a dose-dependent manner, and they predicted ΔV̇o2max in this and a separate dataset. Collectively, our data demonstrate the potential utility of using whole blood transcriptomics to study the biology of inter-individual variability in responsiveness to the same exercise training stimulus.
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Affiliation(s)
- Thomas J LaRocca
- Department of Health and Exercise Science, Colorado State University, Fort Collins, Colorado, United States
- Center for Healthy Aging, Colorado State University, Fort Collins, Colorado, United States
| | - Meghan E Smith
- Department of Health and Exercise Science, Colorado State University, Fort Collins, Colorado, United States
- Center for Healthy Aging, Colorado State University, Fort Collins, Colorado, United States
| | - Kaitlin A Freeberg
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States
| | - Daniel H Craighead
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States
| | - Timothy Helmuth
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado, United States
| | - Matthew M Robinson
- School of Biological and Population Health Sciences, Oregon State University, Corvallis, Oregon, United States
| | - K Sreekumaran Nair
- Department of Internal Medicine, Endocrinology and Metabolism Division, Mayo Clinic, Rochester, Minnesota, United States
| | - Angela D Bryan
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado, United States
| | - Douglas R Seals
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States
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Kuhnen G, Guedes Russomanno T, Murgia M, Pillon NJ, Schönfelder M, Wackerhage H. Genes Whose Gain or Loss of Function Changes Type 1, 2A, 2X, or 2B Muscle Fibre Proportions in Mice—A Systematic Review. Int J Mol Sci 2022; 23:ijms232112933. [PMID: 36361732 PMCID: PMC9658117 DOI: 10.3390/ijms232112933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 10/16/2022] [Accepted: 10/18/2022] [Indexed: 11/25/2022] Open
Abstract
Adult skeletal muscle fibres are classified as type 1, 2A, 2X, and 2B. These classifications are based on the expression of the dominant myosin heavy chain isoform. Muscle fibre-specific gene expression and proportions of muscle fibre types change during development and in response to exercise, chronic electrical stimulation, or inactivity. To identify genes whose gain or loss-of-function alters type 1, 2A, 2X, or 2B muscle fibre proportions in mice, we conducted a systematic review of transgenic mouse studies. The systematic review was conducted in accordance with the 2009 PRISMA guidelines and the PICO framework. We identified 25 “muscle fibre genes” (Akirin1, Bdkrb2, Bdnf, Camk4, Ccnd3, Cpt1a, Epas1, Esrrg, Foxj3, Foxo1, Il15, Mapk12, Mstn, Myod1, Ncor1, Nfatc1, Nol3, Ppargc1a, Ppargc1b, Sirt1, Sirt3, Thra, Thrb, Trib3, and Vgll2) whose gain or loss-of-function significantly changes type 1, 2A, 2X or 2B muscle fibre proportions in mice. The fact that 15 of the 25 muscle fibre genes are transcriptional regulators suggests that muscle fibre-specific gene expression is primarily regulated transcriptionally. A reanalysis of existing datasets revealed that the expression of Ppargc1a and Vgll2 increases and Mstn decreases after exercise, respectively. This suggests that these genes help to regulate the muscle fibre adaptation to exercise. Finally, there are many known DNA sequence variants of muscle fibre genes. It seems likely that such DNA sequence variants contribute to the large variation of muscle fibre type proportions in the human population.
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Affiliation(s)
- Gabryela Kuhnen
- Department of Sports and Health Sciences, Technical University of Munich, 80809 Munich, Germany
| | - Tiago Guedes Russomanno
- Department of Sports and Health Sciences, Technical University of Munich, 80809 Munich, Germany
| | - Marta Murgia
- Max Planck Institute, Martinsried, 82152 Munich, Germany
- Department of Biomedical Sciences, University of Padova, Via Ugo Bassi, 58/B, 35131 Padua, Italy
| | - Nicolas J Pillon
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Martin Schönfelder
- Department of Sports and Health Sciences, Technical University of Munich, 80809 Munich, Germany
| | - Henning Wackerhage
- Department of Sports and Health Sciences, Technical University of Munich, 80809 Munich, Germany
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Tarkhan AH, Anwardeen NR, Sellami M, Donati F, Botrè F, de la Torre X, Elrayess MA. Comparing metabolic profiles between female endurance athletes and non-athletes reveals differences in androgen and corticosteroid levels. J Steroid Biochem Mol Biol 2022; 219:106081. [PMID: 35182726 DOI: 10.1016/j.jsbmb.2022.106081] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 02/09/2022] [Indexed: 11/24/2022]
Abstract
Endurance training is associated with physiological changes in elite athletes, but little is known about female-specific effects of endurance training. Despite the significant rise in female sports participation, findings from studies performed on male athletes are largely extrapolated to females without taking into consideration sex-specific differences in metabolism. Subsequently, this study aimed to investigate the steroid hormone profiles of elite female endurance athletes in comparison with their non-athletic counterparts. Untargeted metabolomics-based mass spectroscopy combined with ultra-high-performance liquid chromatography was performed on serum samples from 51 elite female endurance athletes and 197 non-athletic females. The results showed that, compared to non-athletic females, certain androgen, pregnenolone, and progestin steroid hormones were reduced in elite female endurance athletes, while corticosteroids were elevated. The most significantly altered steroid hormones were 5alpha-androstan-3alpha,17alpha-diol monosulfate (FDR = 1.90 × 10-05), androstenediol (3alpha, 17alpha) monosulfate (FDR = 2.93 × 10-04), and cortisol (FDR = 2.93 × 10-04). Conclusively, the present study suggests that elite female endurance athletes have a unique steroid hormone profile with implications on their general health and performance.
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Affiliation(s)
| | | | - Maha Sellami
- Physical Education Department (PE), College of Education, Qatar University, Doha, Qatar.
| | - Francesco Donati
- Laboratorio Antidoping, Federazione Medico Sportiva Italiana, Rome, Italy.
| | - Francesco Botrè
- Laboratorio Antidoping, Federazione Medico Sportiva Italiana, Rome, Italy.
| | - Xavier de la Torre
- Laboratorio Antidoping, Federazione Medico Sportiva Italiana, Rome, Italy.
| | - Mohamed A Elrayess
- Biomedical Research Center, Qatar University, Doha, Qatar; Vice President for Medical and Health Sciences Office, QU Health, Qatar University, Doha, Qatar.
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Skeletal muscle phenotyping of Hippo gene-mutated mice reveals that Lats1 deletion increases the percentage of type I muscle fibers. Transgenic Res 2022; 31:227-237. [PMID: 34984591 PMCID: PMC8993742 DOI: 10.1007/s11248-021-00293-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 12/02/2021] [Indexed: 12/04/2022]
Abstract
The Hippo signal transduction network regulates transcription through Yap/Taz-Tead1-4 in many tissues including skeletal muscle. Whilst transgenic mice have been generated for many Hippo genes, the resultant skeletal muscle phenotypes were not always characterized. Here, we aimed to phenotype the hindlimb muscles of Hippo gene-mutated Lats1−/−, Mst2−/−, Vgll3−/−, and Vgll4+/− mice. This analysis revealed that Lats1−/− mice have 11% more slow type I fibers than age and sex-matched wild-type controls. Moreover, the mRNA expression of slow Myh7 increased by 50%, and the concentration of type I myosin heavy chain is 80% higher in Lats1−/− mice than in age and sex-matched wild-type controls. Second, to find out whether exercise-related stimuli affect Lats1, we stimulated C2C12 myotubes with the hypertrophy agent clenbuterol or the energy stress agent AICAR. We found that both stimulated Lats1 expression by 1.2 and 1.3 fold respectively. Third, we re-analyzed published datasets and found that Lats1 mRNA in muscle is 63% higher in muscular dystrophy, increases by 17–77% after cardiotoxin-induced muscle injury, by 41–71% in muscles during overload-induced hypertrophy, and by 19–21% after endurance exercise when compared to respective controls. To conclude, Lats1 contributes to the regulation of muscle fiber type proportions, and its expression is regulated by physiological and pathological situations in skeletal muscle.
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Abstract
Human physiology is likely to have been selected for endurance physical activity. However, modern humans have become largely sedentary, with physical activity becoming a leisure-time pursuit for most. Whereas inactivity is a strong risk factor for disease, regular physical activity reduces the risk of chronic disease and mortality. Although substantial epidemiological evidence supports the beneficial effects of exercise, comparatively little is known about the molecular mechanisms through which these effects operate. Genetic and genomic analyses have identified genetic variation associated with human performance and, together with recent proteomic, metabolomic and multi-omic analyses, are beginning to elucidate the molecular genetic mechanisms underlying the beneficial effects of physical activity on human health.
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Affiliation(s)
- Daniel Seung Kim
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Matthew T Wheeler
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.,Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA
| | - Euan A Ashley
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA. .,Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA. .,Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA. .,Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA.
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Schranner D, Schönfelder M, Römisch‐Margl W, Scherr J, Schlegel J, Zelger O, Riermeier A, Kaps S, Prehn C, Adamski J, Söhnlein Q, Stöcker F, Kreuzpointner F, Halle M, Kastenmüller G, Wackerhage H. Physiological extremes of the human blood metabolome: A metabolomics analysis of highly glycolytic, oxidative, and anabolic athletes. Physiol Rep 2021; 9:e14885. [PMID: 34152092 PMCID: PMC8215680 DOI: 10.14814/phy2.14885] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 05/01/2021] [Accepted: 05/04/2021] [Indexed: 12/17/2022] Open
Abstract
Human metabolism is highly variable. At one end of the spectrum, defects of enzymes, transporters, and metabolic regulation result in metabolic diseases such as diabetes mellitus or inborn errors of metabolism. At the other end of the spectrum, favorable genetics and years of training combine to result in physiologically extreme forms of metabolism in athletes. Here, we investigated how the highly glycolytic metabolism of sprinters, highly oxidative metabolism of endurance athletes, and highly anabolic metabolism of natural bodybuilders affect their serum metabolome at rest and after a bout of exercise to exhaustion. We used targeted mass spectrometry-based metabolomics to measure the serum concentrations of 151 metabolites and 43 metabolite ratios or sums in 15 competitive male athletes (6 endurance athletes, 5 sprinters, and 4 natural bodybuilders) and 4 untrained control subjects at fasted rest and 5 minutes after a maximum graded bicycle test to exhaustion. The analysis of all 194 metabolite concentrations, ratios and sums revealed that natural bodybuilders and endurance athletes had overall different metabolite profiles, whereas sprinters and untrained controls were more similar. Specifically, natural bodybuilders had 1.5 to 1.8-fold higher concentrations of specific phosphatidylcholines and lower levels of branched chain amino acids than all other subjects. Endurance athletes had 1.4-fold higher levels of a metabolite ratio showing the activity of carnitine-palmitoyl-transferase I and 1.4-fold lower levels of various alkyl-acyl-phosphatidylcholines. When we compared the effect of exercise between groups, endurance athletes showed 1.3-fold higher increases of hexose and of tetradecenoylcarnitine (C14:1). In summary, physiologically extreme metabolic capacities of endurance athletes and natural bodybuilders are associated with unique blood metabolite concentrations, ratios, and sums at rest and after exercise. Our results suggest that long-term specific training, along with genetics and other athlete-specific factors systematically change metabolite concentrations at rest and after exercise.
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Affiliation(s)
- Daniela Schranner
- Exercise BiologyDepartment of Sport and Health SciencesTechnische Universität MünchenMunichGermany
| | - Martin Schönfelder
- Exercise BiologyDepartment of Sport and Health SciencesTechnische Universität MünchenMunichGermany
| | | | - Johannes Scherr
- University Center for Prevention and Sports MedicineUniversity Hospital BalgristUniversität ZürichZurichSwitzerland
| | - Jürgen Schlegel
- Department of NeuropathologyInstitute of PathologyTechnische Universität MünchenMunichGermany
| | - Otto Zelger
- Department of Prevention and Sports MedicineTechnische Universität MünchenMunichGermany
| | - Annett Riermeier
- Exercise BiologyDepartment of Sport and Health SciencesTechnische Universität MünchenMunichGermany
| | - Stephanie Kaps
- Exercise BiologyDepartment of Sport and Health SciencesTechnische Universität MünchenMunichGermany
| | - Cornelia Prehn
- Research Unit Molecular Endocrinology and MetabolismHelmholtz Zentrum MünchenNeuherbergGermany
| | - Jerzy Adamski
- Research Unit Molecular Endocrinology and MetabolismHelmholtz Zentrum MünchenNeuherbergGermany
- German Center for Diabetes ResearchNeuherbergGermany
- Chair of Experimental GeneticsTechnische Universität MünchenFreising‐WeihenstephanGermany
- Department of BiochemistryYong Loo Lin School of MedicineNational University of SingaporeSingapore
| | - Quirin Söhnlein
- Exercise BiologyDepartment of Sport and Health SciencesTechnische Universität MünchenMunichGermany
| | - Fabian Stöcker
- Teaching and Educational LabDepartment of Sport and Health SciencesTechnische Universität MünchenMunichGermany
| | - Florian Kreuzpointner
- Prevention CenterDepartment of Sport and Health SciencesTechnische Universität MünchenMunichGermany
| | - Martin Halle
- Department of Prevention and Sports MedicineTechnische Universität MünchenMunichGermany
| | - Gabi Kastenmüller
- Institute of Computational BiologyHelmholtz Zentrum MünchenNeuherbergGermany
- German Center for Diabetes ResearchNeuherbergGermany
| | - Henning Wackerhage
- Exercise BiologyDepartment of Sport and Health SciencesTechnische Universität MünchenMunichGermany
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