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Van Hooren B, Aagaard P, Blazevich AJ. Optimizing Resistance Training for Sprint and Endurance Athletes: Balancing Positive and Negative Adaptations. Sports Med 2024; 54:3019-3050. [PMID: 39373864 PMCID: PMC11608172 DOI: 10.1007/s40279-024-02110-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/19/2024] [Indexed: 10/08/2024]
Abstract
Resistance training (RT) triggers diverse morphological and physiological adaptations that are broadly considered beneficial for performance enhancement as well as injury risk reduction. Some athletes and coaches therefore engage in, or prescribe, substantial amounts of RT under the assumption that continued increments in maximal strength capacity and/or muscle mass will lead to improved sports performance. In contrast, others employ minimal or no RT under the assumption that RT may impair endurance or sprint performances. However, the morphological and physiological adaptations by which RT might impair physical performance, the likelihood of these being evoked, and the training program specifications that might promote such impairments, remain largely undefined. Here, we discuss how selected adaptations to RT may enhance or impair speed and endurance performances while also addressing the RT program variables under which these adaptations are likely to occur. Specifically, we argue that while some myofibrillar (muscle) hypertrophy can be beneficial for increasing maximum strength, substantial hypertrophy can lead to macro- and microscopic adaptations such as increases in body (or limb) mass and internal moment arms that might, under some conditions, impair both sprint and endurance performances. Further, we discuss how changes in muscle architecture, fiber typology, microscopic muscle structure, and intra- and intermuscular coordination with RT may maximize speed at the expense of endurance, or maximize strength at the expense of speed. The beneficial effect of RT for sprint and endurance sports can be further improved by considering the adaptive trade-offs and practical implications discussed in this review.
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Affiliation(s)
- Bas Van Hooren
- Department of Nutrition and Movement Sciences, NUTRIM Institute of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Universiteitssingel 50, Maastricht, NL, 6229 ER, The Netherlands.
| | - Per Aagaard
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Anthony J Blazevich
- Centre for Human Performance, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
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2
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Furrer R, Handschin C. Molecular aspects of the exercise response and training adaptation in skeletal muscle. Free Radic Biol Med 2024; 223:53-68. [PMID: 39059515 DOI: 10.1016/j.freeradbiomed.2024.07.026] [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: 05/23/2024] [Revised: 07/13/2024] [Accepted: 07/21/2024] [Indexed: 07/28/2024]
Abstract
Skeletal muscle plasticity enables an enormous potential to adapt to various internal and external stimuli and perturbations. Most notably, changes in contractile activity evoke a massive remodeling of biochemical, metabolic and force-generating properties. In recent years, a large number of signals, sensors, regulators and effectors have been implicated in these adaptive processes. Nevertheless, our understanding of the molecular underpinnings of training adaptation remains rudimentary. Specifically, the mechanisms that underlie signal integration, output coordination, functional redundancy and other complex traits of muscle adaptation are unknown. In fact, it is even unclear how stimulus-dependent specification is brought about in endurance or resistance exercise. In this review, we will provide an overview on the events that describe the acute perturbations in single endurance and resistance exercise bouts. Furthermore, we will provide insights into the molecular principles of long-term training adaptation. Finally, current gaps in knowledge will be identified, and strategies for a multi-omic and -cellular analyses of the molecular mechanisms of skeletal muscle plasticity that are engaged in individual, acute exercise bouts and chronic training adaptation discussed.
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Affiliation(s)
- Regula Furrer
- Biozentrum, University of Basel, Spitalstrasse 41, 4056, Basel, Switzerland.
| | - Christoph Handschin
- Biozentrum, University of Basel, Spitalstrasse 41, 4056, Basel, Switzerland.
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Archacki D, Zieliński J, Ciekot-Sołtysiak M, Zarębska EA, Kusy K. Sex Differences in the Energy System Contribution during Sprint Exercise in Speed-Power and Endurance Athletes. J Clin Med 2024; 13:4812. [PMID: 39200953 PMCID: PMC11355823 DOI: 10.3390/jcm13164812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 08/10/2024] [Accepted: 08/12/2024] [Indexed: 09/02/2024] Open
Abstract
Background/Objectives: A high level of specific metabolic capacity is essential for maximal sprinting in both male and female athletes. Various factors dictate sex differences in maximal power production and energy utilization. This study aims to compare the contribution of energy systems between male and female athletes with similar sport-specific physiological adaptations during a 15-s sprint exercise. Methods: The endurance group consisted of 17 males (23 ± 7 y) and 17 females (20 ± 2 y). The speed-power group included 14 males (21.1 ± 2.6 y) and 14 females (20 ± 3 y). The contribution of phosphagen, glycolytic, and aerobic systems was determined using the three-component PCr-LA-O2 method. Results: Significant differences were observed in the energy expenditure for all systems and total energy expenditure between males and females in both groups (p = 0.001-0.013). The energy expenditure in kJ for individual systems (phosphagen-glycolytic-aerobic) was 35:25:7 vs. 20:16:5 in endurance males vs. female athletes, respectively. In the speed-power group, male athletes expended 33:37:6 kJ and female athletes expended 21:25:4 kJ, respectively. The percentage proportions did not differ between males and females in any system. The contribution of the phosphagen-glycolytic-aerobic systems was 52:37:11 vs. 48:39:13 in endurance male and female athletes, respectively. For speed-power males vs. female athletes, the proportions were 42:50:8 vs. 41:50:9, respectively. Conclusions: Despite the differences in body composition, mechanical output, and absolute energy expenditure, the energy system contribution appears to have a similar metabolic effect between male and female athletes engaged in sprint exercises with similar sport-related adaptations. The magnitude and profile of sex differences are related to sports discipline.
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Affiliation(s)
- Damian Archacki
- Department of Athletics, Strength and Conditioning, Poznan University of Physical Education, Królowej Jadwigi Street 27/39, 61-871 Poznań, Poland; (J.Z.); (M.C.-S.); (E.A.Z.); (K.K.)
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Voss AC, Chambers TL, Gries KJ, Jemiolo B, Raue U, Minchev K, Begue G, Lee GA, Trappe TA, Trappe SW. Exercise microdosing for skeletal muscle health applications to spaceflight. J Appl Physiol (1985) 2024; 136:1040-1052. [PMID: 38205550 PMCID: PMC11365549 DOI: 10.1152/japplphysiol.00491.2023] [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: 07/18/2023] [Revised: 12/21/2023] [Accepted: 01/03/2024] [Indexed: 01/12/2024] Open
Abstract
Findings from a recent 70-day bedrest investigation suggested intermittent exercise testing in the control group may have served as a partial countermeasure for skeletal muscle size, function, and fiber-type shifts. The purpose of the current study was to investigate the metabolic and skeletal muscle molecular responses to the testing protocols. Eight males (29 ± 2 yr) completed muscle power (6 × 4 s; peak muscle power: 1,369 ± 86 W) and V̇o2max (13 ± 1 min; 3.2 ± 0.2 L/min) tests on specially designed supine cycle ergometers during two separate trials. Blood catecholamines and lactate were measured pre-, immediately post-, and 4-h postexercise. Muscle homogenate and muscle fiber-type-specific [myosin heavy chain (MHC) I and MHC IIa] mRNA levels of exercise markers (myostatin, IκBα, myogenin, MuRF-1, ABRA, RRAD, Fn14, PDK4) and MHC I, IIa, and IIx were measured from vastus lateralis muscle biopsies obtained pre- and 4-h postexercise. The muscle power test altered (P ≤ 0.05) norepinephrine (+124%), epinephrine (+145%), lactate (+300%), and muscle homogenate mRNA (IκBα, myogenin, MuRF-1, RRAD, Fn14). The V̇o2max test altered (P ≤ 0.05) norepinephrine (+1,394%), epinephrine (+1,412%), lactate (+736%), and muscle homogenate mRNA (myostatin, IκBα, myogenin, MuRF-1, ABRA, RRAD, Fn14, PDK4). In general, both tests influenced MHC IIa muscle fibers more than MHC I with respect to the number of genes that responded and the magnitude of response. Both tests also influenced MHC mRNA expression in a muscle fiber-type-specific manner. These findings provide unique insights into the adaptive response of skeletal muscle to small doses of exercise and could help shape exercise dosing for astronauts and Earth-based individuals.NEW & NOTEWORTHY Declines in skeletal muscle health are a concern for astronauts on long-duration spaceflights. The current findings add to the growing body of exercise countermeasures data, suggesting that small doses of specific exercise can be beneficial for certain aspects of skeletal muscle health. This information can be used in conjunction with other components of existing exercise programs for astronauts and might translate to other areas focused on skeletal muscle health (e.g., sports medicine, rehabilitation, aging).
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Affiliation(s)
- Adam C Voss
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Toby L Chambers
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Kevin J Gries
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Bozena Jemiolo
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Ulrika Raue
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Kiril Minchev
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Gwenaelle Begue
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Gary A Lee
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Todd A Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Scott W Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
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Buvoli M, Wilson GC, Buvoli A, Gugel JF, Hau A, Bönnemann CG, Paradas C, Ryba DM, Woulfe KC, Walker LA, Buvoli T, Ochala J, Leinwand LA. A Laing distal myopathy-associated proline substitution in the β-myosin rod perturbs myosin cross-bridging activity. J Clin Invest 2024; 134:e172599. [PMID: 38690726 PMCID: PMC11060730 DOI: 10.1172/jci172599] [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: 06/22/2023] [Accepted: 03/11/2024] [Indexed: 05/03/2024] Open
Abstract
Proline substitutions within the coiled-coil rod region of the β-myosin gene (MYH7) are the predominant mutations causing Laing distal myopathy (MPD1), an autosomal dominant disorder characterized by progressive weakness of distal/proximal muscles. We report that the MDP1 mutation R1500P, studied in what we believe to be the first mouse model for the disease, adversely affected myosin motor activity despite being in the structural rod domain that directs thick filament assembly. Contractility experiments carried out on isolated mutant muscles, myofibrils, and myofibers identified muscle fatigue and weakness phenotypes, an increased rate of actin-myosin detachment, and a conformational shift of the myosin heads toward the more reactive disordered relaxed (DRX) state, causing hypercontractility and greater ATP consumption. Similarly, molecular analysis of muscle biopsies from patients with MPD1 revealed a significant increase in sarcomeric DRX content, as observed in a subset of myosin motor domain mutations causing hypertrophic cardiomyopathy. Finally, oral administration of MYK-581, a small molecule that decreases the population of heads in the DRX configuration, significantly improved the limited running capacity of the R1500P-transgenic mice and corrected the increased DRX state of the myofibrils from patients. These studies provide evidence of the molecular pathogenesis of proline rod mutations and lay the groundwork for the therapeutic advancement of myosin modulators.
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Affiliation(s)
- Massimo Buvoli
- Department of Molecular, Cellular and Developmental Biology, and
- BioFrontiers Institute, Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, Colorado, USA
| | - Genevieve C.K. Wilson
- Department of Molecular, Cellular and Developmental Biology, and
- BioFrontiers Institute, Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, Colorado, USA
| | - Ada Buvoli
- Department of Molecular, Cellular and Developmental Biology, and
- BioFrontiers Institute, Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, Colorado, USA
| | - Jack F. Gugel
- Department of Molecular, Cellular and Developmental Biology, and
- BioFrontiers Institute, Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, Colorado, USA
| | - Abbi Hau
- Centre of Human and Applied Physiological Sciences, School of Basic and Medical Biosciences, Faculty of Life Sciences and Medicine, and
- Randall Centre for Cell and Molecular Biophysics, School of Basic and Medical Biosciences, Faculty of Life Sciences and Medicine, Guy’s Campus, King’s College London, London, United Kingdom
| | - Carsten G. Bönnemann
- Neuromuscular and Neurogenetic Disorders of Childhood Section, National Institute of Neurological Disorders and Stroke (NINDS), NIH, Bethesda, Maryland, USA
| | - Carmen Paradas
- Neuromuscular Unit, Department of Neurology, Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Sevilla, Spain
| | | | - Kathleen C. Woulfe
- Division of Cardiology, Department of Medicine, University of Colorado, Denver, Colorado, USA
| | - Lori A. Walker
- Division of Cardiology, Department of Medicine, University of Colorado, Denver, Colorado, USA
| | - Tommaso Buvoli
- Department of Mathematics, Tulane University, New Orleans, Louisiana, USA
| | - Julien Ochala
- Centre of Human and Applied Physiological Sciences, School of Basic and Medical Biosciences, Faculty of Life Sciences and Medicine, and
- Randall Centre for Cell and Molecular Biophysics, School of Basic and Medical Biosciences, Faculty of Life Sciences and Medicine, Guy’s Campus, King’s College London, London, United Kingdom
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Leslie A. Leinwand
- Department of Molecular, Cellular and Developmental Biology, and
- BioFrontiers Institute, Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, Colorado, USA
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Langley JO, Ng SC, Todd EE, Porter MS. V ˙ La max: determining the optimal test duration for maximal lactate formation rate during all-out sprint cycle ergometry. Eur J Appl Physiol 2024:10.1007/s00421-024-05456-9. [PMID: 38555335 DOI: 10.1007/s00421-024-05456-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 02/28/2024] [Indexed: 04/02/2024]
Abstract
PURPOSE This study aimed to ascertain the optimal test duration to elicit the highest maximal lactate formation rate ( V ˙ Lamax), whilst exploring the underpinning energetics, and identifying the optimal blood lactate sampling period. METHODS Fifteen trained to well-trained males (age 27 ± 6 years; peak power: 1134 ± 174 W) participated in a randomised cross-over design completing three all-out sprint cycling tests of differing test durations (10, 15, and 30 s). Peak and mean power output (W and W.kg-1), oxygen uptake, and blood lactate concentrations were measured. V ˙ Lamax and energetic contributions (phosphagen, glycolytic, and oxidative) were determined using these parameters. RESULTS The shortest test duration of 10 s elicited a significantly (p = 0.003; p < 0.001) higher V ˙ Lamax (0.86 ± 0.17 mmol.L-1.s-1; 95% CI 0.802-0.974) compared with both 15 s (0.68 ± 0.18 mmol.L-1.s-1; 95% CI 0.596-0.794) and 30 s (0.45 ± 0.07 mmol.L-1.s-1; 95% CI 0.410-0.487). Differences in V ˙ Lamax were associated with large effect sizes (d = 1.07, d = 3.15). We observed 81% of the PCr and 53% of the glycolytic work completed over the 30 s sprint duration was attained after 10 s. BLamaxpost were achieved at 5 ± 2 min (ttest 10 s), 6 ± 2 min (ttest 15 s), and 7 ± 2 min (ttest 30 s), respectively. CONCLUSION Our findings demonstrated a 10 s test duration elicited the highest V ˙ Lamax. Furthermore, the 10 s test duration mitigated the influence of the oxidative metabolism during all-out cycling. The optimal sample time to determine peak blood lactate concentration following 10 s was 5 ± 2 min.
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Affiliation(s)
- J O Langley
- Department of Higher Education Sport, Loughborough College, Radmoor Road, Loughborough, Leicestershire, LE11 3BT, UK.
| | - S C Ng
- Department of Higher Education Sport, Loughborough College, Radmoor Road, Loughborough, Leicestershire, LE11 3BT, UK
| | - E E Todd
- Department of Higher Education Sport, Loughborough College, Radmoor Road, Loughborough, Leicestershire, LE11 3BT, UK
| | - M S Porter
- Department of Higher Education Sport, Loughborough College, Radmoor Road, Loughborough, Leicestershire, LE11 3BT, UK
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Cisterna B, Malatesta M. Molecular and Structural Alterations of Skeletal Muscle Tissue Nuclei during Aging. Int J Mol Sci 2024; 25:1833. [PMID: 38339110 PMCID: PMC10855217 DOI: 10.3390/ijms25031833] [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: 12/27/2023] [Revised: 01/30/2024] [Accepted: 01/31/2024] [Indexed: 02/12/2024] Open
Abstract
Aging is accompanied by a progressive loss of skeletal muscle mass and strength. The mechanisms underlying this phenomenon are certainly multifactorial and still remain to be fully elucidated. Changes in the cell nucleus structure and function have been considered among the possible contributing causes. This review offers an overview of the current knowledge on skeletal muscle nuclei in aging, focusing on the impairment of nuclear pathways potentially involved in age-related muscle decline. In skeletal muscle two types of cells are present: fiber cells, constituting the contractile muscle mass and containing hundreds of myonuclei, and the satellite cells, i.e., the myogenic mononuclear stem cells occurring at the periphery of the fibers and responsible for muscle growth and repair. Research conducted on different experimental models and with different methodological approaches demonstrated that both the myonuclei and satellite cell nuclei of aged skeletal muscles undergo several structural and molecular alterations, affecting chromatin organization, gene expression, and transcriptional and post-transcriptional activities. These alterations play a key role in the impairment of muscle fiber homeostasis and regeneration, thus contributing to the age-related decrease in skeletal muscle mass and function.
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Affiliation(s)
| | - Manuela Malatesta
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Strada Le Grazie 8, 37134 Verona, Italy;
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8
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Raue U, Begue G, Minchev K, Jemiolo B, Gries KJ, Chambers T, Rubenstein A, Zaslavsky E, Sealfon SC, Trappe T, Trappe S. Fast and slow muscle fiber transcriptome dynamics with lifelong endurance exercise. J Appl Physiol (1985) 2024; 136:244-261. [PMID: 38095016 PMCID: PMC11219013 DOI: 10.1152/japplphysiol.00442.2023] [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: 07/03/2023] [Revised: 10/24/2023] [Accepted: 12/05/2023] [Indexed: 01/26/2024] Open
Abstract
We investigated fast and slow muscle fiber transcriptome exercise dynamics among three groups of men: lifelong exercisers (LLE, n = 8, 74 ± 1 yr), old healthy nonexercisers (OH, n = 9, 75 ± 1 yr), and young exercisers (YE, n = 8, 25 ± 1 yr). On average, LLE had exercised ∼4 day·wk-1 for ∼8 h·wk-1 over 53 ± 2 years. Muscle biopsies were obtained pre- and 4 h postresistance exercise (3 × 10 knee extensions at 70% 1-RM). Fast and slow fiber size and function were assessed preexercise with fast and slow RNA-seq profiles examined pre- and postexercise. LLE fast fiber size was similar to OH, which was ∼30% smaller than YE (P < 0.05) with contractile function variables among groups, resulting in lower power in LLE (P < 0.05). LLE slow fibers were ∼30% larger and more powerful compared with YE and OH (P < 0.05). At the transcriptome level, fast fibers were more responsive to resistance exercise compared with slow fibers among all three cohorts (P < 0.05). Exercise induced a comprehensive biological response in fast fibers (P < 0.05) including transcription, signaling, skeletal muscle cell differentiation, and metabolism with vast differences among the groups. Fast fibers from YE exhibited a growth and metabolic signature, with LLE being primarily metabolic, and OH showing a strong stress-related response. In slow fibers, only LLE exhibited a biological response to exercise (P < 0.05), which was related to ketone and lipid metabolism. The divergent exercise transcriptome signatures provide novel insight into the molecular regulation in fast and slow fibers with age and exercise and suggest that the ∼5% weekly exercise time commitment of the lifelong exercisers provided a powerful investment for fast and slow muscle fiber metabolic health at the molecular level.NEW & NOTEWORTHY This study provides the first insights into fast and slow muscle fiber transcriptome dynamics with lifelong endurance exercise. The fast fibers were more responsive to exercise with divergent transcriptome signatures among young exercisers (growth and metabolic), lifelong exercisers (metabolic), and old healthy nonexercisers (stress). Only lifelong exercisers had a biological response in slow fibers (metabolic). These data provide novel insights into fast and slow muscle fiber health at the molecular level with age and exercise.
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Affiliation(s)
- Ulrika Raue
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Gwenaelle Begue
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Kiril Minchev
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Bozena Jemiolo
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Kevin J Gries
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Toby Chambers
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Aliza Rubenstein
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Stuart C Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Todd Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Scott Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
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Van Wouwe T, Hicks J, Delp S, Liu KC. A simulation framework to determine optimal strength training and musculoskeletal geometry for sprinting and distance running. PLoS Comput Biol 2024; 20:e1011410. [PMID: 38394308 PMCID: PMC10917303 DOI: 10.1371/journal.pcbi.1011410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 03/06/2024] [Accepted: 02/04/2024] [Indexed: 02/25/2024] Open
Abstract
Musculoskeletal geometry and muscle volumes vary widely in the population and are intricately linked to the performance of tasks ranging from walking and running to jumping and sprinting. As an alternative to experimental approaches, where it is difficult to isolate factors and establish causal relationships, simulations can be used to independently vary musculoskeletal geometry and muscle volumes, and develop a fundamental understanding. However, our ability to understand how these parameters affect task performance has been limited due to the high computational cost of modelling the necessary complexity of the musculoskeletal system and solving the requisite multi-dimensional optimization problem. For example, sprinting and running are fundamental to many forms of sport, but past research on the relationships between musculoskeletal geometry, muscle volumes, and running performance has been limited to observational studies, which have not established cause-effect relationships, and simulation studies with simplified representations of musculoskeletal geometry. In this study, we developed a novel musculoskeletal simulator that is differentiable with respect to musculoskeletal geometry and muscle volumes. This simulator enabled us to find the optimal body segment dimensions and optimal distribution of added muscle volume for sprinting and marathon running. Our simulation results replicate experimental observations, such as increased muscle mass in sprinters, as well as a mass in the lower end of the healthy BMI range and a higher leg-length-to-height ratio in marathon runners. The simulations also reveal new relationships, for example showing that hip musculature is vital to both sprinting and marathon running. We found hip flexor and extensor moment arms were maximized to optimize sprint and marathon running performance, and hip muscles the main target when we simulated strength training for sprinters. Our simulation results provide insight to inspire future studies to examine optimal strength training. Our simulator can be extended to other athletic tasks, such as jumping, or to non-athletic applications, such as designing interventions to improve mobility in older adults or individuals with movement disorders.
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Affiliation(s)
- Tom Van Wouwe
- Department of Bioengineering, Stanford University, Stanford, California, United States of America
| | - Jennifer Hicks
- Department of Bioengineering, Stanford University, Stanford, California, United States of America
| | - Scott Delp
- Department of Bioengineering, Stanford University, Stanford, California, United States of America
| | - Karen C. Liu
- Department of Computer Science, Stanford University, Stanford, California, United States of America
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10
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Galvan-Alvarez V, Gallego-Selles A, Martinez-Canton M, Perez-Suarez I, Garcia-Gonzalez E, Martin-Rincon M, Calbet JAL. Physiological and molecular predictors of cycling sprint performance. Scand J Med Sci Sports 2024; 34:e14545. [PMID: 38268080 DOI: 10.1111/sms.14545] [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: 09/04/2023] [Revised: 11/15/2023] [Accepted: 11/17/2023] [Indexed: 01/26/2024]
Abstract
The study aimed to identify novel muscle phenotypic factors that could determine sprint performance using linear regression models including the lean mass of the lower extremities (LLM), myosin heavy chain composition (MHC), and proteins and enzymes implicated in glycolytic and aerobic energy generation (citrate synthase, OXPHOS proteins), oxygen transport and diffusion (myoglobin), ROS sensing (Nrf2/Keap1), antioxidant enzymes, and proteins implicated in calcium handling. For this purpose, body composition (dual-energy X-ray absorptiometry) and sprint performance (isokinetic 30-s Wingate test: peak and mean power output, Wpeak and Wmean ) were measured in young physically active adults (51 males and 10 females), from which a resting muscle biopsy was obtained from the musculus vastus lateralis. Although females had a higher percentage of MHC I, SERCA2, pSer16 /Thr17 -phospholamban, and Calsequestrin 2 protein expressions (all p < 0.05), and 18.4% lower phosphofructokinase 1 protein expression than males (p < 0.05), both sexes had similar sprint performance when it was normalized to body weight or LLM. Multiple regression analysis showed that Wpeak could be predicted from LLM, SDHB, Keap1, and MHC II % (R 2 = 0.62, p < 0.001), each variable contributing to explain 46.4%, 6.3%, 4.4%, and 4.3% of the variance in Wpeak , respectively. LLM and MHC II % explained 67.5% and 2.1% of the variance in Wmean , respectively (R 2 = 0.70, p < 0.001). The present investigation shows that SDHB and Keap1, in addition to MHC II %, are relevant determinants of peak power output during sprinting.
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Affiliation(s)
- Victor Galvan-Alvarez
- Department of Physical Education, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira s/n, Las Palmas de Gran Canaria, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe "Físico" s/n, Las Palmas de Gran Canaria, Spain
| | - Angel Gallego-Selles
- Department of Physical Education, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira s/n, Las Palmas de Gran Canaria, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe "Físico" s/n, Las Palmas de Gran Canaria, Spain
| | - Miriam Martinez-Canton
- Department of Physical Education, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira s/n, Las Palmas de Gran Canaria, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe "Físico" s/n, Las Palmas de Gran Canaria, Spain
| | - Ismael Perez-Suarez
- Department of Physical Education, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira s/n, Las Palmas de Gran Canaria, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe "Físico" s/n, Las Palmas de Gran Canaria, Spain
| | - Eduardo Garcia-Gonzalez
- Department of Physical Education, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira s/n, Las Palmas de Gran Canaria, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe "Físico" s/n, Las Palmas de Gran Canaria, Spain
| | - Marcos Martin-Rincon
- Department of Physical Education, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira s/n, Las Palmas de Gran Canaria, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe "Físico" s/n, Las Palmas de Gran Canaria, Spain
| | - Jose A L Calbet
- Department of Physical Education, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira s/n, Las Palmas de Gran Canaria, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe "Físico" s/n, Las Palmas de Gran Canaria, Spain
- Department of Physical Performance, The Norwegian School of Sport Sciences, Postboks, Oslo, Norway
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11
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Rubenstein AB, Smith GR, Zhang Z, Chen X, Chambers TL, Ruf-Zamojski F, Mendelev N, Cheng WS, Zamojski M, Amper MAS, Nair VD, Marderstein AR, Montgomery SB, Troyanskaya OG, Zaslavsky E, Trappe T, Trappe S, Sealfon SC. Integrated single-cell multiome analysis reveals muscle fiber-type gene regulatory circuitry modulated by endurance exercise. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.26.558914. [PMID: 37808658 PMCID: PMC10557702 DOI: 10.1101/2023.09.26.558914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Endurance exercise is an important health modifier. We studied cell-type specific adaptations of human skeletal muscle to acute endurance exercise using single-nucleus (sn) multiome sequencing in human vastus lateralis samples collected before and 3.5 hours after 40 min exercise at 70% VO2max in four subjects, as well as in matched time of day samples from two supine resting circadian controls. High quality same-cell RNA-seq and ATAC-seq data were obtained from 37,154 nuclei comprising 14 cell types. Among muscle fiber types, both shared and fiber-type specific regulatory programs were identified. Single-cell circuit analysis identified distinct adaptations in fast, slow and intermediate fibers as well as LUM-expressing FAP cells, involving a total of 328 transcription factors (TFs) acting at altered accessibility sites regulating 2,025 genes. These data and circuit mapping provide single-cell insight into the processes underlying tissue and metabolic remodeling responses to exercise.
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Affiliation(s)
- Aliza B. Rubenstein
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Gregory R. Smith
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Zidong Zhang
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Xi Chen
- Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY 10010, USA
| | - Toby L. Chambers
- Human Performance Laboratory, Ball State University, Muncie, IN 47306, USA
| | - Frederique Ruf-Zamojski
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Natalia Mendelev
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Wan Sze Cheng
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Michel Zamojski
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Mary Anne S. Amper
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Venugopalan D. Nair
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Andrew R. Marderstein
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Stephen B. Montgomery
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Olga G. Troyanskaya
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
- Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY 10010, USA
- Department of Computer Science, Princeton University, Princeton, NJ 08544, USA
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
| | - Todd Trappe
- Human Performance Laboratory, Ball State University, Muncie, IN 47306, USA
| | - Scott Trappe
- Human Performance Laboratory, Ball State University, Muncie, IN 47306, USA
- Senior author
| | - Stuart C. Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY 10029, USA
- Department of Computer Science, Princeton University, Princeton, NJ 08544, USA
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12
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Chambers TL, Stroh AM, Chavez C, Brandt AR, Claiborne A, Fountain WA, Gries KJ, Jones AM, Kuszmaul DJ, Lee GA, Lester BE, Lynch CE, Minchev K, Montenegro CF, Naruse M, Raue U, Trappe TA, Trappe S. Multitissue responses to exercise: a MoTrPAC feasibility study. J Appl Physiol (1985) 2023; 135:302-315. [PMID: 37318985 PMCID: PMC10393343 DOI: 10.1152/japplphysiol.00210.2023] [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: 04/03/2023] [Revised: 06/05/2023] [Accepted: 06/12/2023] [Indexed: 06/17/2023] Open
Abstract
We assessed the feasibility of the Molecular Transducers of Physical Activity Consortium (MoTrPAC) human adult clinical exercise protocols, while also documenting select cardiovascular, metabolic, and molecular responses to these protocols. After phenotyping and familiarization sessions, 20 subjects (25 ± 2 yr, 12 M, 8 W) completed an endurance exercise bout (n = 8, 40 min cycling at 70% V̇o2max), a resistance exercise bout (n = 6, ∼45 min, 3 sets of ∼10 repetition maximum, 8 exercises), or a resting control period (n = 6, 40 min rest). Blood samples were taken before, during, and after (10 min, 2 h, and 3.5 h) exercise or rest for levels of catecholamines, cortisol, glucagon, insulin, glucose, free fatty acids, and lactate. Heart rate was recorded throughout exercise (or rest). Skeletal muscle (vastus lateralis) and adipose (periumbilical) biopsies were taken before and ∼4 h following exercise or rest for mRNA levels of genes related to energy metabolism, growth, angiogenesis, and circadian processes. Coordination of the timing of procedural components (e.g., local anesthetic delivery, biopsy incisions, tumescent delivery, intravenous line flushes, sample collection and processing, exercise transitions, and team dynamics) was reasonable to orchestrate while considering subject burden and scientific objectives. The cardiovascular and metabolic alterations reflected a dynamic and unique response to endurance and resistance exercise, whereas skeletal muscle was transcriptionally more responsive than adipose 4 h postexercise. In summary, the current report provides the first evidence of protocol execution and feasibility of key components of the MoTrPAC human adult clinical exercise protocols. Scientists should consider designing exercise studies in various populations to interface with the MoTrPAC protocols and DataHub.NEW & NOTEWORTHY This study highlights the feasibility of key aspects of the MoTrPAC adult human clinical protocols. This initial preview of what can be expected from acute exercise trial data from MoTrPAC provides an impetus for scientists to design exercise studies to interlace with the rich phenotypic and -omics data that will populate the MoTrPAC DataHub at the completion of the parent protocol.
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Affiliation(s)
- Toby L Chambers
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Andrew M Stroh
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Clarisa Chavez
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Anna R Brandt
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Alex Claiborne
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - William A Fountain
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Kevin J Gries
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Andrew M Jones
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Dillon J Kuszmaul
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Gary A Lee
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Bridget E Lester
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Colleen E Lynch
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Kiril Minchev
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | | | - Masatoshi Naruse
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Ulrika Raue
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Todd A Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
| | - Scott Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana, United States
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13
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Reece TM, Godwin JS, Strube MJ, Ciccone AB, Stout KW, Pearson JR, Vopat BG, Gallagher PM, Roberts MD, Herda TJ. Myofiber hypertrophy adaptations following 6 weeks of low-load resistance training with blood flow restriction in untrained males and females. J Appl Physiol (1985) 2023; 134:1240-1255. [PMID: 37022967 PMCID: PMC10190928 DOI: 10.1152/japplphysiol.00704.2022] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 03/30/2023] [Accepted: 03/31/2023] [Indexed: 04/07/2023] Open
Abstract
The effects of low-load resistance training with blood flow restriction (BFR) on hypertrophy of type I/II myofibers remains unclear, especially in females. The purpose of the present study is to examine changes in type I/II myofiber cross-sectional area (fCSA) and muscle CSA (mCSA) of the vastus lateralis (VL) from before (Pre) to after (Post) 6 wk of high-load resistance training (HL; n = 15, 8 females) and low-load resistance training with BFR (n = 16, 8 females). Mixed-effects models were used to analyze fCSA with group (HL, BFR), sex (M, F), fiber type (I, II), and time (Pre, Post) included as factors. mCSA increased from pre- to posttraining (P < 0.001, d = 0.91) and was greater in males compared with females (P < 0.001, d = 2.26). Type II fCSA increased pre- to post-HL (P < 0.05, d = 0.46) and was greater in males compared with females (P < 0.05, d = 0.78). There were no significant increases in fCSA pre- to post-BFR for either fiber type or sex. Cohen's d, however, revealed moderate effect sizes in type I and II fCSA for males (d = 0.59 and 0.67), although this did not hold true for females (d = 0.29 and 0.34). Conversely, the increase in type II fCSA was greater for females than for males after HL. In conclusion, low-load resistance training with BFR may not promote myofiber hypertrophy to the level of HL resistance training, and similar responses were generally observed for males and females. In contrast, comparable effect sizes for mCSA and 1-repetition maximum (1RM) between groups suggest that BFR could play a role in a resistance training program.NEW & NOTEWORTHY This is the first study, to our knowledge, to examine myofiber hypertrophy from low-load resistance training with blood flow restriction (BFR) in females. Although this type of training did not result in myofiber hypertrophy, there were comparable increases in muscle cross-sectional area compared with high-load resistance training. These findings possibly highlight that males and females respond in a similar manner to high-load resistance training and low-load resistance training with BFR.
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Affiliation(s)
- Tanner M Reece
- Program in Physical Therapy, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Joshua S Godwin
- School of Kinesiology, Auburn University, Auburn, Alabama, United States
| | - Michael J Strube
- Department of Psychological and Brain Sciences, Washington University, St. Louis, Missouri, United States
| | - Anthony B Ciccone
- Department of Exercise Science and Outdoor Recreation, Utah Valley University, Orem, Utah, United States
| | - Kevan W Stout
- Department of Health, Sport, and Exercise Sciences, University of Kansas, Lawrence, Kansas, United States
| | - Jeremy R Pearson
- Department of Health, Sport, and Exercise Sciences, University of Kansas, Lawrence, Kansas, United States
| | - Bryan G Vopat
- University of Kansas School of Medicine-Wichita, Wichita, Kansas, United States
| | - Philip M Gallagher
- Department of Health, Sport, and Exercise Sciences, University of Kansas, Lawrence, Kansas, United States
| | - Michael D Roberts
- School of Kinesiology, Auburn University, Auburn, Alabama, United States
| | - Trent J Herda
- Department of Health, Sport, and Exercise Sciences, University of Kansas, Lawrence, Kansas, United States
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14
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Burnley M. Invited review: The speed-duration relationship across the animal kingdom. Comp Biochem Physiol A Mol Integr Physiol 2023; 279:111387. [PMID: 36740171 DOI: 10.1016/j.cbpa.2023.111387] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 01/25/2023] [Accepted: 02/01/2023] [Indexed: 02/05/2023]
Abstract
The parameters of the hyperbolic speed-duration relationship (the asymptote critical speed, CS, and the curvature constant, D') provide estimates of the maximal steady state speed (CS) and the distance an animal can run, swim, or fly at speeds above CS before it is forced to slow down or stop (D'). The speed-duration relationship has been directly studied in humans, horses, mice and rats. The technical difficulties with treadmill running in dogs and the relatively short greyhound race durations means that, perhaps surprisingly, it has not been assessed in dogs. The endurance capabilities of lizards, crabs and salamanders has also been measured, and the speed-duration relationship can be calculated from these data. These analyses show that 1) raising environmental temperature from 25 °C to 40 °C in lizards can double the CS with no change in D'; 2) that lungless salamanders have an extremely low critical speed due, most likely, to O2 diffusion limitations associated with cutaneous respiration; and 3) the painted ghost crab possesses the highest endurance parameter ratio (D'/CS) yet recorded (470 s), allowing it to maintain high speeds for extended periods. Although the speed-duration relationship has not been measured in fish, the sustainable swimming speed has been quantified in a range of species and is conceptually similar to the maximal steady state in humans. The high aerobic power of birds and low metabolic cost of transport during flight permits the extreme feats of endurance observed in bird migrations. However, the parameters of the avian speed-duration relationship have not been quantified.
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Affiliation(s)
- Mark Burnley
- School of Sport, Exercise and Health Sciences, Loughborough University, Leicestershire, UK.
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15
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Bays HE, Gonsahn-Bollie S, Younglove C, Wharton S. Obesity Pillars Roundtable: Body mass index and body composition in Black and Female individuals. Race-relevant or racist? Sex-relevant or sexist? OBESITY PILLARS 2022; 4:100044. [PMID: 37990673 PMCID: PMC10662008 DOI: 10.1016/j.obpill.2022.100044] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 11/13/2022] [Accepted: 11/14/2022] [Indexed: 11/23/2023]
Abstract
Background Body mass index (BMI or weight in kilograms/height in meters2) is the most common metric to diagnose overweight and obesity. However, a body composition analysis more thoroughly assesses adiposity, percent body fat, lean body mass (i.e., including skeletal muscle), and sometimes bone mineral density. BMI is not an accurate assessment of body fat in individuals with increased or decreased muscle mass; the diagnostic utility of BMI in individuals is also influenced by race and sex. Methods Previous Obesity Pillars Roundtables addressed the diagnostic limitations of BMI, the importance of android and visceral fat (especially among those with South and East Asian ancestry), and considerations of obesity among individuals who identify as Hispanic, diverse in sexual-orientation, Black, Native American, and having ancestry from the Mediterranean and Middle East regions. This roundtable examines considerations of BMI in Black and female individuals. Results The panelists agreed that body composition assessment was a more accurate measure of adiposity and muscle mass than BMI. When it came to matters of race and sex, one panelist felt: "race is a social construct and not a defining biology." Another felt that: "BMI should be a screening tool to prompt further evaluation of adiposity that utilizes better diagnostic tools for body composition." Regarding bias and misperceptions of resistance training in female individuals, another panelist stated: "I have spent my entire medical career taking care of women and have never seen a woman unintentionally gain 'too much' muscle mass and bulk up from moderate strength training." Conclusions Conveying the importance of race and sex regarding body composition has proven challenging, with the discussion sometimes devolving into misunderstandings or misinformation that may be perceived as racist or sexist. Body composition analysis is the ultimate diagnostic equalizer in addressing the inaccuracies and biases inherent in the exclusive use of BMI.
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Affiliation(s)
- Harold Edward Bays
- American Board of Obesity Medicine, Medical Director / President Louisville Metabolic and Atherosclerosis Research Center Clinical Associate Professor / University of Louisville Medical School, 3288 Illinois Avenue Louisville KY, 40213, USA
| | - Sylvia Gonsahn-Bollie
- American Board of Obesity Medicine, Embrace You Weight & Wellness Founder, Black Physicians Healthcare Network, Council of Black Obesity Physicians Founding Member, 8705 Colesville Rd Suite 103, Silver Spring, MD, 20910, USA
| | - Courtney Younglove
- American Board of Obesity Medicine, Founder/Medical Director: Heartland Weight Loss, 14205 Metcalf Avenue Overland Park, KS, 66223, USA
| | - Sean Wharton
- McMaster University, York University, University of Toronto Wharton Medical Clinic 2951 Walker’s Line, Burlington,Ontario, Canada
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16
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Hafen PS, Law AS, Matias C, Miller SG, Brault JJ. Skeletal muscle contraction kinetics and AMPK responses are modulated by the adenine nucleotide degrading enzyme AMPD1. J Appl Physiol (1985) 2022; 133:1055-1066. [PMID: 36107988 PMCID: PMC9602816 DOI: 10.1152/japplphysiol.00035.2022] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 08/15/2022] [Accepted: 09/09/2022] [Indexed: 12/31/2022] Open
Abstract
AMP deaminase 1 (AMPD1; AMP → IMP + NH3) deficiency in skeletal muscle results in an inordinate accumulation of AMP during strenuous exercise, with some but not all studies reporting premature fatigue and reduced work capacity. To further explore these inconsistencies, we investigated the extent to which AMPD1 deficiency impacts skeletal muscle contractile function of different muscles and the [AMP]/AMPK responses to different intensities of fatiguing contractions. To reduce AMPD1 protein, we electroporated either an inhibitory AMPD1-specific miRNA encoding plasmid or a control plasmid, into contralateral EDL and SOL muscles of C57BL/6J mice (n = 48 males, 24 females). After 10 days, isolated muscles were assessed for isometric twitch, tetanic, and repeated fatiguing contraction characteristics using one of four (None, LOW, MOD, and HIGH) duty cycles. AMPD1 knockdown (∼35%) had no effect on twitch force or twitch contraction/relaxation kinetics. However, during maximal tetanic contractions, AMPD1 knockdown impaired both time-to-peak tension (TPT) and half-relaxation time (½ RT) in EDL, but not SOL muscle. In addition, AMPD1 knockdown in EDL exaggerated the AMP response to contractions at LOW (+100%) and MOD (+54%) duty cycles, but not at HIGH duty cycle. This accumulation of AMP was accompanied by increased AMPK phosphorylation (Thr-172; LOW +25%, MOD +34%) and downstream substrate phosphorylation (LOW +15%, MOD +17%). These responses to AMPD1 knockdown were not different between males and females. Our findings demonstrate that AMPD1 plays a role in maintaining skeletal muscle contractile function and regulating the energetic responses associated with repeated contractions in a muscle- but not sex-specific manner.NEW & NOTEWORTHY AMP deaminase 1 (AMPD1) deficiency has been associated with premature muscle fatigue and reduced work capacity, but this finding has been inconsistent. Herein, we report that although AMPD1 knockdown in mouse skeletal muscle does not change maximal isometric force, it negatively impacts muscle function by slowing contraction and relaxation kinetics in EDL muscle but not SOL muscle. Furthermore, AMPD1 knockdown differentially affects the [AMP]/AMPK responses to fatiguing contractions in an intensity-dependent manner in EDL muscle.
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Affiliation(s)
- Paul S Hafen
- Department of Anatomy, Cell Biology & Physiology, Indiana Center for Musculoskeletal Health, Indiana University School of Medicine, Indianapolis, Indiana
| | - Andrew S Law
- Department of Anatomy, Cell Biology & Physiology, Indiana Center for Musculoskeletal Health, Indiana University School of Medicine, Indianapolis, Indiana
| | - Catalina Matias
- Department of Anatomy, Cell Biology & Physiology, Indiana Center for Musculoskeletal Health, Indiana University School of Medicine, Indianapolis, Indiana
| | - Spencer G Miller
- Department of Anatomy, Cell Biology & Physiology, Indiana Center for Musculoskeletal Health, Indiana University School of Medicine, Indianapolis, Indiana
- Department of Kinesiology, East Carolina University, Greenville, North Carolina
| | - Jeffrey J Brault
- Department of Anatomy, Cell Biology & Physiology, Indiana Center for Musculoskeletal Health, Indiana University School of Medicine, Indianapolis, Indiana
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17
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Gao S, Zhang G, Zhang Z, Zhu JZ, Li L, Zhou Y, Rodney GG, Abo-Zahrah RS, Anderson L, Garcia JM, Kwon YT, Li YP. UBR2 targets myosin heavy chain IIb and IIx for degradation: Molecular mechanism essential for cancer-induced muscle wasting. Proc Natl Acad Sci U S A 2022; 119:e2200215119. [PMID: 36252004 PMCID: PMC9618047 DOI: 10.1073/pnas.2200215119] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 08/06/2022] [Indexed: 11/18/2022] Open
Abstract
Cancer cachexia is a lethal metabolic syndrome featuring muscle wasting with preferential loss of fast-twitching muscle mass through an undefined mechanism. Here, we show that cancer induces muscle wasting by selectively degrading myosin heavy chain (MHC) subtypes IIb and IIx through E3 ligase UBR2-mediated ubiquitylation. Induction of MHC loss and atrophy in C2C12 myotubes and mouse tibialis anterior (TA) by murine cancer cells required UBR2 up-regulation by cancer. Genetic gain or loss of UBR2 function inversely altered MHC level and muscle mass in TA of tumor-free mice. UBR2 selectively interacted with and ubiquitylated MHC-IIb and MHC-IIx through its substrate recognition and catalytic domain, respectively, in C2C12 myotubes. Elevation of UBR2 in muscle of tumor-bearing or free mice caused loss of MHC-IIb and MHC-IIx but not MHC-I and MHC-IIa or other myofibrillar proteins, including α-actin, troponin, tropomyosin, and tropomodulin. Muscle-specific knockout of UBR2 spared KPC tumor-bearing mice from losing MHC-IIb and MHC-IIx, fast-twitching muscle mass, cross-sectional area, and contractile force. The rectus abdominis (RA) muscle of patients with cachexia-prone cancers displayed a selective reduction of MHC-IIx in correlation with higher UBR2 levels. These data suggest that UBR2 is a regulator of MHC-IIb/IIx essential for cancer-induced muscle wasting, and that therapeutic interventions can be designed by blocking UBR2 up-regulation by cancer.
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Affiliation(s)
- Song Gao
- Department of Integrative Biology and Pharmacology, University of Texas Health Science Center at Houston, Houston, TX 77030
| | - Guohua Zhang
- Department of Integrative Biology and Pharmacology, University of Texas Health Science Center at Houston, Houston, TX 77030
| | - Zicheng Zhang
- Department of Integrative Biology and Pharmacology, University of Texas Health Science Center at Houston, Houston, TX 77030
| | - James Z. Zhu
- Department of Integrative Biology and Pharmacology, University of Texas Health Science Center at Houston, Houston, TX 77030
| | - Li Li
- Department of Integrative Biology and Pharmacology, University of Texas Health Science Center at Houston, Houston, TX 77030
| | - Yong Zhou
- Department of Integrative Biology and Pharmacology, University of Texas Health Science Center at Houston, Houston, TX 77030
| | - George G. Rodney
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX 77030
| | - Reem S. Abo-Zahrah
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX 77030
| | - Lindsey Anderson
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA98018
- Department of Medicine, Division of Gerontology and Geriatric Medicine, University of Washington, Seattle, WA98108
| | - Jose M. Garcia
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA98018
- Department of Medicine, Division of Gerontology and Geriatric Medicine, University of Washington, Seattle, WA98108
| | - Yong Tae Kwon
- World Class University Program, Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology and College of Medicine, Seoul National University, Seoul 110-799, Korea
| | - Yi-Ping Li
- Department of Integrative Biology and Pharmacology, University of Texas Health Science Center at Houston, Houston, TX 77030
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18
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Naruse M, Trappe SW, Trappe TA. Human skeletal muscle size with ultrasound imaging: a comprehensive review. J Appl Physiol (1985) 2022; 132:1267-1279. [PMID: 35358402 PMCID: PMC9126220 DOI: 10.1152/japplphysiol.00041.2022] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Skeletal muscle size is an important factor in assessing adaptation to exercise training and detraining, athletic performance, age-associated atrophy and mobility decline, clinical conditions associated with cachexia, and overall skeletal muscle health. Magnetic resonance (MR) imaging and computed tomography (CT) are widely accepted as the gold standard methods for skeletal muscle size quantification. However, it is not always feasible to use these methods (e.g., field studies, bedside studies, large cohort studies). Ultrasound has been available for skeletal muscle examination for more than 50 years and the development, utility, and validity of ultrasound imaging are underappreciated. It is now possible to use ultrasound in situations where MR and CT imaging are not suitable. This review provides a comprehensive summary of ultrasound imaging and human skeletal muscle size assessment. Since the first study in 1968, more than 600 articles have used ultrasound to examine the cross-sectional area and/or volume of 107 different skeletal muscles in more than 27,500 subjects of various ages, health status, and fitness conditions. Data from these studies, supported by decades of technological developments, collectively show that ultrasonography is a valid tool for skeletal muscle size quantification. Considering the wide-ranging connections between human health and function and skeletal muscle mass, the utility of ultrasound imaging will allow it to be employed in research investigations and clinical practice in ways not previously appreciated or considered.
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Affiliation(s)
- Masatoshi Naruse
- Human Performance Laboratory, Ball State University, Muncie, IN, United States
| | - Scott W Trappe
- Human Performance Laboratory, Ball State University, Muncie, IN, United States
| | - Todd A Trappe
- Human Performance Laboratory, Ball State University, Muncie, IN, United States
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19
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Modeling Professional Rugby Union Peak Intensity-Duration Relationships Using a Power Law. Int J Sports Physiol Perform 2022; 17:780-786. [PMID: 35203051 DOI: 10.1123/ijspp.2021-0337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 10/18/2021] [Accepted: 10/31/2021] [Indexed: 11/18/2022]
Abstract
PURPOSE Can power law models accurately predict the peak intensities of rugby competition as a function of time? METHODS Match movement data were collected from 30 elite and 30 subelite rugby union athletes across competitive seasons, using wearable Global Navigation Satellite Systems and accelerometers. Each athlete's peak rolling mean value of each measure (mean speed, metabolic power, and PlayerLoad™) for 8 durations between 5 seconds and 10 minutes was predicted by the duration with 4 power law (log-log) models, one for forwards and backs in each half of a typical match. RESULTS The log of peak exercise intensity and exercise duration (5-600 s) displayed strong linear relationships (R2 = .967-.993) across all 3 measures. Rugby backs had greater predicted intensities for shorter durations than forwards, but their intensities declined at a steeper rate as duration increased. Random prediction errors for mean speed, metabolic power, and PlayerLoad were 5% to 6%, 7% to 9%, and 8% to 10% (moderate to large), respectively, for elite players. Systematic prediction errors across the range of durations were trivial to small for elite players, underestimating intensities for shorter (5-10 s) and longer (300-600 s) durations by 2% to 4% and overestimating 20- to 120-second intensities by 2% to 3%. Random and systematic errors were slightly greater for subelites compared to elites, with ranges of 4% to 12% and 2% to 5%, respectively. CONCLUSIONS Peak intensities of professional rugby union matches can be predicted with adequate precision (trivial to small errors) for prescribing training drills of a given duration, irrespective of playing position, match half, level of competition, or measure of exercise intensity. However, practitioners should be aware of the substantial (moderate to large) prediction errors at the level of the individual player.
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Abstract
The Exercise Boom of the 1970's resulted in the adoption of habitual exercise in a significant portion of the population. Many of these individuals are defying the cultural norms by remaining physically active and competing at a high level in their later years. The juxtaposition between masters athletes and non-exercisers demonstrate the importance of remaining physically active throughout the lifespan on physiological systems related to healthspan (years of healthy living). This includes ~50% improved maximal aerobic capacity (VO2max) and enhanced skeletal muscle health (size, function, as well as metabolic and communicative properties) compared to non-exercisers at a similar age. By taking a reductionist approach to VO2max and skeletal muscle health, we can gain insight into how aging and habitual exercise affects the aging process. Collectively, this review provides a physiological basis for the elite performances seen in masters athletes, as well as the health implications of lifelong exercise with a focus on VO2max, skeletal muscle metabolic fitness, whole muscle size and function, single muscle fiber physiology, and communicative properties of skeletal muscle. This review has significant public health implications due to the potent health benefits of habitual exercise across the lifespan.
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Affiliation(s)
- Kevin J Gries
- Exercise and Sports Science, Marian University, Indianapolis, United States
| | - S W Trappe
- Human Performance Laboratory, Ball State University, Muncie, United States
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21
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Tan R, Cano L, Lago-Rodríguez Á, Domínguez R. The Effects of Dietary Nitrate Supplementation on Explosive Exercise Performance: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19020762. [PMID: 35055584 PMCID: PMC8775572 DOI: 10.3390/ijerph19020762] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 01/03/2022] [Accepted: 01/04/2022] [Indexed: 02/07/2023]
Abstract
Dietary nitrate supplementation is evidenced to induce physiological effects on skeletal muscle function in fast-twitch muscle fibers and may enhance high-intensity exercise performance. An important component of sport-specific skills is the ability to perform explosive movements; however, it is unclear if nitrate supplementation can impact explosive efforts. We examined the existing evidence to determine whether nitrate supplementation improves explosive efforts lasting ≤ 6 s. PubMed, Scopus and Directory of Open Access Journals (DOAJ) were searched for articles using the following search strategy: (nitrate OR nitrite OR beetroot) AND (supplement OR supplementation) AND (explosive OR power OR high intensity OR high-intensity OR sprint* OR “athletic performance”). Out of 810 studies, 18 were eligible according to inclusion criteria. Results showed that 4 of the 10 sprint-type studies observed improved sprint time, power output, and total work in cycling or running, whereas 4 of the 10 resistance-based exercise studies observed improvements to power and velocity of free-weight bench press as well as isokinetic knee extension and flexion at certain angular velocities. These results suggest that nitrate potentially improves explosive exercise performance, but further work is required to clarify the factors influencing the efficacy of nitrate in different exercise modalities.
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Affiliation(s)
- Rachel Tan
- Faculty of Sports Medicine, Natural Sciences Division, Pepperdine University, Malibu, CA 90263, USA;
| | - Leire Cano
- Independent Researcher, 48991 Getxo, Spain;
| | - Ángel Lago-Rodríguez
- Movement, Brain and Health Group, Center of Higher Education Alberta Giménez, 07013 Palma de Mallorca, Spain
- Correspondence: ; Tel.: +34-680-330-105
| | - Raúl Domínguez
- Departamento de Motricidad Humana y Rendimiento, Universidad de Sevilla, 41013 Sevilla, Spain;
- Studies Research Group in Neuromuscular Responses (GEPREN), University of Lavras, Lavras 37200-000, Brazil
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22
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Paravlic AH, Milanović Z, Abazović E, Vučković G, Spudić D, Rošker ZM, Pajek M, Vodičar J. The muscle contractile properties in female soccer players: inter-limb comparison using tensiomyography. JOURNAL OF MUSCULOSKELETAL & NEURONAL INTERACTIONS 2022; 22:179-192. [PMID: 35642698 PMCID: PMC9186453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The present study aimed to: i) determine the contractile properties of the major lower limb muscles in female soccer players using tensiomyography; ii) investigate inter-limb differences; and iii) compare inter-limb differences between different selections and playing positions. METHODS A total of 52 female soccer players (A team; U19 and U17) were recruited. The vastus lateralis (VL), vastus medialis (VM), rectus femoris (RF), biceps femoris (BF), gastrocnemius medialis (GM), lateralis (GL) and tibialis anterior (TA) of both lower limbs were evaluated. RESULTS When the entire sample was assessed regardless of selection or playing position, there were significant inter-limb differences in all measured muscles except BF. Compared to the non-dominant limb, the dominant limb had higher delay time in VL (p=0.008), while showing lower values in VM (p=0.023), GL (p=0.043) and GM (p=0.006). Contraction time was lower in the RF of the dominant limb (p=0.005) and VM (p=0.047), while showing higher values in VL (p=0.036) and TA (p<0.001) as compared to the non-dominant limb. CONCLUSION Given the differences found between the limbs in the whole sample studied, it is necessary to examine both limbs to gather a more in-depth understanding of underlying mechanisms related to neuromuscular functions in female soccer players. LEVEL OF EVIDENCE Prognostic study, Level II.
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Affiliation(s)
- Armin H. Paravlic
- Faculty of Sport, Institute of Kinesiology, University of Ljubljana, Ljubljana, Slovenia,Science and Research Centre Koper, Institute for Kinesiology Research, Koper, Slovenia,Faculty of Sports Studies, Masaryk University, Brno, Czech Republic,Corresponding author: Armin H. Paravlic, Faculty of Sport, Institute of Kinesiolgy, University of Ljubljana, Ljubljana, Slovenia; Science and Research Centre Koper, Institute for Kinesiology Research, Slovenia; Faculty of Sports Studies, Masaryk University, Brno, Czech Republic E-mail:
| | - Zoran Milanović
- Science and Research Centre Koper, Institute for Kinesiology Research, Koper, Slovenia,Faculty of Sports Studies, Masaryk University, Brno, Czech Republic,Faculty of Sport and Physical Education, University of Nis, Nis, Serbia
| | - Ensar Abazović
- Faculty of Sport and Physical Education, University of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Goran Vučković
- Faculty of Sport, Institute of Kinesiology, University of Ljubljana, Ljubljana, Slovenia
| | - Darjan Spudić
- Faculty of Sport, Institute of Kinesiology, University of Ljubljana, Ljubljana, Slovenia
| | - Ziva Majcen Rošker
- Faculty of Sport, Institute of Kinesiology, University of Ljubljana, Ljubljana, Slovenia
| | - Maja Pajek
- Faculty of Sport, Institute of Kinesiology, University of Ljubljana, Ljubljana, Slovenia
| | - Janez Vodičar
- Faculty of Sport, Institute of Kinesiology, University of Ljubljana, Ljubljana, Slovenia
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23
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Affiliation(s)
- Anne Hecksteden
- Saarland University, Institute of Sports and Preventive Medicine, Saarbruecken, Germany
| | - Ralf Kellner
- Saarland University, Chair for Quantitative Methods and Statistics, Saarbruecken, Germany
| | - Lars Donath
- Department of Intervention Research in Exercise Training, German Sport University, Cologne, Germany
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24
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Plotkin DL, Roberts MD, Haun CT, Schoenfeld BJ. Muscle Fiber Type Transitions with Exercise Training: Shifting Perspectives. Sports (Basel) 2021; 9:sports9090127. [PMID: 34564332 PMCID: PMC8473039 DOI: 10.3390/sports9090127] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 09/01/2021] [Accepted: 09/06/2021] [Indexed: 11/22/2022] Open
Abstract
Human muscle fibers are generally classified by myosin heavy chain (MHC) isoforms characterized by slow to fast contractile speeds. Type I, or slow-twitch fibers, are seen in high abundance in elite endurance athletes, such as long-distance runners and cyclists. Alternatively, fast-twitch IIa and IIx fibers are abundant in elite power athletes, such as weightlifters and sprinters. While cross-sectional comparisons have shown marked differences between athletes, longitudinal data have not clearly converged on patterns in fiber type shifts over time, particularly between slow and fast fibers. However, not all fiber type identification techniques are created equal and, thus, may limit interpretation. Hybrid fibers, which express more than one MHC type (I/IIa, IIa/IIx, I/IIa/IIx), may make up a significant proportion of fibers. The measurement of the distribution of fibers would necessitate the ability to identify hybrid fibers, which is best done through single fiber analysis. Current evidence using the most appropriate techniques suggests a clear ability of fibers to shift between hybrid and pure fibers as well as between slow and fast fiber types. The context and extent to which this occurs, along with the limitations of current evidence, are discussed herein.
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Affiliation(s)
- Daniel L. Plotkin
- Health Sciences Department, CUNY Lehman College, Bronx, NY 10468, USA; (D.L.P.); (B.J.S.)
| | | | - Cody T. Haun
- Fitomics, LLC., Pelham, AL 35124, USA
- Correspondence:
| | - Brad J. Schoenfeld
- Health Sciences Department, CUNY Lehman College, Bronx, NY 10468, USA; (D.L.P.); (B.J.S.)
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25
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van der Zwaard S, Brocherie F, Jaspers RT. Under the Hood: Skeletal Muscle Determinants of Endurance Performance. Front Sports Act Living 2021; 3:719434. [PMID: 34423293 PMCID: PMC8371266 DOI: 10.3389/fspor.2021.719434] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 07/05/2021] [Indexed: 11/21/2022] Open
Abstract
In the past decades, researchers have extensively studied (elite) athletes' physiological responses to understand how to maximize their endurance performance. In endurance sports, whole-body measurements such as the maximal oxygen consumption, lactate threshold, and efficiency/economy play a key role in performance. Although these determinants are known to interact, it has also been demonstrated that athletes rarely excel in all three. The leading question is how athletes reach exceptional values in one or all of these determinants to optimize their endurance performance, and how such performance can be explained by (combinations of) underlying physiological determinants. In this review, we advance on Joyner and Coyle's conceptual framework of endurance performance, by integrating a meta-analysis of the interrelationships, and corresponding effect sizes between endurance performance and its key physiological determinants at the macroscopic (whole-body) and the microscopic level (muscle tissue, i.e., muscle fiber oxidative capacity, oxygen supply, muscle fiber size, and fiber type). Moreover, we discuss how these physiological determinants can be improved by training and what potential physiological challenges endurance athletes may face when trying to maximize their performance. This review highlights that integrative assessment of skeletal muscle determinants points toward efficient type-I fibers with a high mitochondrial oxidative capacity and strongly encourages well-adjusted capillarization and myoglobin concentrations to accommodate the required oxygen flux during endurance performance, especially in large muscle fibers. Optimisation of endurance performance requires careful design of training interventions that fine tune modulation of exercise intensity, frequency and duration, and particularly periodisation with respect to the skeletal muscle determinants.
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Affiliation(s)
- Stephan van der Zwaard
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, Netherlands
- Laboratory for Myology, Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, Netherlands
- Leiden Institute of Advanced Computer Science, Leiden University, Leiden, Netherlands
| | - Franck Brocherie
- Laboratory Sport, Expertise and Performance (EA 7370), French Institute of Sport (INSEP), Paris, France
| | - Richard T. Jaspers
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, Netherlands
- Laboratory for Myology, Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, Netherlands
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26
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Afonso J, Rocha-Rodrigues S, Clemente FM, Aquino M, Nikolaidis PT, Sarmento H, Fílter A, Olivares-Jabalera J, Ramirez-Campillo R. The Hamstrings: Anatomic and Physiologic Variations and Their Potential Relationships With Injury Risk. Front Physiol 2021; 12:694604. [PMID: 34305648 PMCID: PMC8294189 DOI: 10.3389/fphys.2021.694604] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 06/16/2021] [Indexed: 01/11/2023] Open
Abstract
The incidence and recurrence of hamstrings injuries are very high in sports, posing elevated performance and financial-related costs. Attempts to identify the risk factors involved in predicting vulnerability to hamstrings injury is important for designing exercise-based programs that aim to mitigate the rate and severity of hamstrings injuries and improve rehabilitation strategies. However, research has shown that non-modifiable risk factors may play a greater role than modifiable risk factors. Recognizing non-modifiable risk factors and understanding their implications will afford the prescription of better suited exercise programs, i.e., that are more respectful of the individual characteristics. In a nutshell, non-modifiable risk factors can still be acted upon, even if indirectly. In this context, an underexplored topic is how intra and inter- individual anatomic and physiologic variations in hamstrings (e.g., muscle bellies, fiber types, tendon length, aponeurosis width, attachment sites, sex- and age-related differences) concur to alter hamstrings injuries risk. Some anatomic and physiologic variations may be modifiable through exercise interventions (e.g., cross-sectional area), while others may not (e.g., supernumerary muscle bellies). This apparent dichotomy may hide a greater complexity, i.e., there may be risk factors that are partially modifiable. Therefore, we explored the available information on the anatomic variations of the hamstrings, providing a deeper insight into the individual risk factors for hamstrings injuries and contributing with better knowledge and potential applications toward a more individualized exercise prescription.
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Affiliation(s)
- José Afonso
- Centre for Research, Education, Innovation and Intervention in Sport, Faculty of Sport of the University of Porto, Porto, Portugal
| | - Sílvia Rocha-Rodrigues
- Escola Superior de Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Viana do Castelo, Portugal
- Research Centre in Sports Sciences, Health Sciences and Human Development, Vila Real, Portugal
- Tumor & Microenvironment Interactions Group, Instituto de Investigação e Inovação em Saúde, Porto, Portugal
| | - Filipe M. Clemente
- Escola Superior de Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Viana do Castelo, Portugal
- Instituto de Telecomunicações, Delegação da Covilhã, Covilhã, Portugal
| | - Michele Aquino
- Department of Health and Sport Sciences, Adelphi University, New York, NY, United States
| | | | - Hugo Sarmento
- Research Unit for Sport and Physical Activity, Faculty of Sport Sciences and Physical Education, University of Coimbra, Coimbra, Portugal
| | - Alberto Fílter
- FSI Sport Research Lab, Football Science Institute, Granada, Spain
- Research Group Physical Activity, Health and Sport CTS-948, University of Pablo de Olavide, Seville, Spain
| | - Jesús Olivares-Jabalera
- FSI Sport Research Lab, Football Science Institute, Granada, Spain
- Sport and Health University Research Institute, Department of Physical and Sports Education, University of Granada, Granada, Spain
| | - Rodrigo Ramirez-Campillo
- Department of Physical Activity Sciences, Universidad de Los Lagos, Santiago, Chile
- Centro de Investigación en Fisiología del Ejercicio, Facultad de Ciencias, Universidad Mayor, Santiago, Chile
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27
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Polach M, Thiel D, Kreník J, Born DP. Swimming turn performance: the distinguishing factor in 1500 m world championship freestyle races? BMC Res Notes 2021; 14:248. [PMID: 34193247 PMCID: PMC8243611 DOI: 10.1186/s13104-021-05665-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 06/18/2021] [Indexed: 11/12/2022] Open
Abstract
Objective Turn sections represent the second largest part of total race time in 1500 m freestyle races and may substantially affect race results. Therefore, the aim of the study was to investigate individual race strategies and compare the effect of start, swim, and turn performances between short-course and long-course races. Video footages were collected from all 16 male finalists at the 2018 short and 2019 long-course World swimming championships (age 23.06 ± 2.3 years, FINA points 941 ± 42) for subsequently analysis of start, turn, and swim performance. Results The larger number of turns in short-course races resulted in significantly faster race times (p = 0.004), but slower mean turn times compared to long-course races (p < 0.001). Total race velocity closely correlated with swim and turn but not start section velocity in short- (r ≥ 0.80, p ≤ 0.017) and long-course races (r ≥ 0.83, p ≤ 0.011). Analysis of individual race strategies showed that turn performance affected race results in 6 (75%) and 3 (37.5%) of the 8 world-best 1500 m swimmers in short-course and long-course races, respectively. Medal standing was improved for 1st, 3rd, and 4th ranked short- as well as 1st and 2nd ranked long-course finalist. Coaches, athletes, and performance analysts may carefully consider the importance of turn performance additionally to free-swimming skills.
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Affiliation(s)
- Marek Polach
- Faculty of Physical Culture, Department of Social Sciences in Kinanthropology, Palacký University Olomouc, Olomouc, Czech Republic. .,Department for Competitive Swimming, Czech Swimming Federation, Praha, Czech Republic.
| | - Dan Thiel
- Faculty of Physical Education and Sport, Department of Physiology and Biochemistry, Charles University Prague, Prague, Czech Republic.,Department for Competitive Swimming, Czech Swimming Federation, Praha, Czech Republic
| | - Jan Kreník
- Department for Competitive Swimming, Czech Swimming Federation, Praha, Czech Republic
| | - Dennis-Peter Born
- Department for Elite Sport, Swiss Federal Institute of Sport Magglingen, Magglingen, Switzerland.,Department for High-Performance Sports, Swiss Swimming Federation, Berne, Switzerland
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28
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Grosicki GJ, Gries KJ, Minchev K, Raue U, Chambers TL, Begue G, Finch H, Graham B, Trappe TA, Trappe S. Single muscle fibre contractile characteristics with lifelong endurance exercise. J Physiol 2021; 599:3549-3565. [PMID: 34036579 DOI: 10.1113/jp281666] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 05/10/2021] [Indexed: 11/08/2022] Open
Abstract
KEY POINTS A hallmark trait of ageing skeletal muscle health is a reduction in size and function, which is most pronounced in the fast muscle fibres. We studied older men (74 ± 4 years) with a history of lifelong (>50 years) endurance exercise to examine potential benefits for slow and fast muscle fibre size and contractile function. Lifelong endurance exercisers had slow muscle fibres that were larger, stronger, faster and more powerful than young exercisers (25 ± 1 years) and age-matched non-exercisers (75 ± 2 years). Limited benefits with lifelong endurance exercise were noted in the fast muscle fibres. These findings suggest that additional exercise modalities (e.g. resistance exercise) or other therapeutic interventions are needed to target fast muscle fibres with age. ABSTRACT We investigated single muscle fibre size and contractile function among three groups of men: lifelong exercisers (LLE) (n = 21, 74 ± 4 years), old healthy non-exercisers (OH) (n = 10, 75 ± 2 years) and young exercisers (YE) (n = 10, 25 ± 1 years). On average, LLE had exercised ∼5 days week-1 for ∼7 h week-1 over the past 53 ± 6 years. LLE were subdivided based on lifelong exercise intensity into performance (LLE-P) (n = 14) and fitness (LLE-F) (n = 7). Muscle biopsies (vastus lateralis) were examined for myosin heavy chain (MHC) slow (MHC I) and fast (MHC IIa) fibre size and function (strength, speed, power). LLE MHC I size (7624 ± 2765 μm2 ) was 25-40% larger (P < 0.001) than YE (6106 ± 1710 μm2 ) and OH (5476 ± 2467 μm2 ). LLE MHC I fibres were ∼20% stronger, ∼10% faster and ∼30% more powerful than YE and OH (P < 0.05). By contrast, LLE MHC IIa size (6466 ± 2659 μm2 ) was similar to OH (6237 ± 2525 μm2 ; P = 0.854), with both groups ∼20% smaller (P < 0.001) than YE (7860 ± 1930 μm2 ). MHC IIa contractile function was variable across groups, with a hierarchical pattern (OH > LLE > YE; P < 0.05) in normalized power among OH (16.7 ± 6.4 W L-1 ), LLE (13.9 ± 4.5 W L-1 ) and YE (12.4 ± 3.5 W L-1 ). The LLE-P and LLE-F had similar single fibre profiles with MHC I power driven by speed (LLE-P) or force (LLE-F), suggesting exercise intensity impacted slow muscle fibre mechanics. These data suggest that lifelong endurance exercise benefited slow muscle fibre size and function. Comparable fast fibre characteristics between LLE and OH, regardless of training intensity, suggest other exercise modes (e.g. resistance training) or myotherapeutics may be necessary to preserve fast muscle fibre size and performance with age.
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Affiliation(s)
- Gregory J Grosicki
- Human Performance Laboratory, Ball State University, Muncie, Indiana, USA
| | - Kevin J Gries
- Human Performance Laboratory, Ball State University, Muncie, Indiana, USA
| | - Kiril Minchev
- Human Performance Laboratory, Ball State University, Muncie, Indiana, USA
| | - Ulrika Raue
- Human Performance Laboratory, Ball State University, Muncie, Indiana, USA
| | - Toby L Chambers
- Human Performance Laboratory, Ball State University, Muncie, Indiana, USA
| | - Gwénaëlle Begue
- Human Performance Laboratory, Ball State University, Muncie, Indiana, USA
| | - Holmes Finch
- Human Performance Laboratory, Ball State University, Muncie, Indiana, USA
| | - Bruce Graham
- Human Performance Laboratory, Ball State University, Muncie, Indiana, USA
| | - Todd A Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana, USA
| | - Scott Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana, USA
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29
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Santos JA, Affonso HO, Boullosa D, Pereira TMC, Fernandes RJ, Conceição F. Extreme blood lactate rising after very short efforts in top-level track and field male sprinters. Res Sports Med 2021; 30:566-572. [PMID: 33879003 DOI: 10.1080/15438627.2021.1917406] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Two top-level (10"04 and 10"13 in 100-m dash) and 2 sub-elite (10"97 and 11"44 in 100-m dash) male sprinters completed, after a standardised warm-up, various jump, sprint and weightlifting exercises in two consecutive days at the start of pre-season. Before and 30 s after the tests, the [La-] were measured with a portable lactate analyser. The top-level sprinters exhibited much larger [La-] than the sub-elite sprinters (< 5 mmol·L-1) after all the exercise tests. The maximum values recorded were 20.4 mmol·L-1 after the 20-m sprint tests for Athlete 1, and 22.4 mmol·L-1 after CMJ testing for Athlete 2. The greater Δ% were recorded after CMJ testing for Athlete 1 (from 1.9 to 13.6 mmol·L-1), and after the power clean test for Athlete 2 (from 1.4 to 17.6 mmol·L-1). These results suggest a different metabolic response to very short efforts (≤3 s) in top-level track and field sprinters. These findings reinforce the need to include lactate assessments, during training and evaluation sessions, to better understand the acute and chronic adaptations to training of sprinters of different levels.
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Affiliation(s)
- José A Santos
- Centre of Research, Education, Innovation and Intervention in Sport (CIFI2D) and Faculty of Sport, University of Porto, Porto, Portugal
| | - Hélvio O Affonso
- Pharmaceutical Sciences Graduate Program, Vila Velha University (UVV), Vila Velha, Brazil.,Physiology, Laboratory of Exercise, Nutrition and Sports Training, Vitoria, Brazil
| | - Daniel Boullosa
- INISA, Federal University of Mato Grosso do Sul, Campo Grande, Brazil.,Sport and Exercise Science, James Cook University, Townsville, Australia
| | - Thiago M C Pereira
- Pharmaceutical Sciences Graduate Program, Vila Velha University (UVV), Vila Velha, Brazil.,Federal Institute of Education, Science and Technology (IFES), Vila Velha, Brazil.,Pharmacology of Chronic Diseases (CDPHARMA), Molecular Medicine and Chronic Diseases Research Centre (CIMUS), University of Santiago De Compostela, Santiago de Compostela, Spain
| | - Ricardo J Fernandes
- Centre of Research, Education, Innovation and Intervention in Sport (CIFI2D) and Faculty of Sport, University of Porto, Porto, Portugal.,Porto Biomechanics Laboratory (LABIOMEP), University of Porto, Porto, Portugal
| | - Filipe Conceição
- Centre of Research, Education, Innovation and Intervention in Sport (CIFI2D) and Faculty of Sport, University of Porto, Porto, Portugal.,Porto Biomechanics Laboratory (LABIOMEP), University of Porto, Porto, Portugal
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30
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Guilherme JPLF, Semenova EA, Borisov OV, Kostryukova ES, Vepkhvadze TF, Lysenko EA, Andryushchenko ON, Andryushchenko LB, Lednev EM, Larin AK, Bondareva EA, Generozov EV, Ahmetov II. The BDNF-Increasing Allele is Associated With Increased Proportion of Fast-Twitch Muscle Fibers, Handgrip Strength, and Power Athlete Status. J Strength Cond Res 2020; 36:1884-1889. [PMID: 33306590 DOI: 10.1519/jsc.0000000000003756] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Guilherme, JPLF, Semenova, EA, Borisov, OV, Kostryukova, ES, Vepkhvadze, TF, Lysenko, EA, Andryushchenko, ON, Andryushchenko, LB, Lednev, EM, Larin, AK, Bondareva, EA, Generozov, EV, and Ahmetov, II. The BDNF-increasing allele is associated with increased proportion of fast-twitch muscle fibers, handgrip strength, and power athlete status. J Strength Cond Res XX(X): 000-000, 2020-The brain-derived neurotrophic factor (BDNF) is involved in neurogenesis and formation of regenerated myofibers following injury or damage. A recent study suggested that the BDNF overexpression increases the proportion of fast-twitch muscle fibers, while the BDNF deletion promotes a fast-to-slow transition. The purpose of this study was to evaluate the association between the BDNF gene rs10501089 polymorphism (associated with blood BDNF levels), muscle fiber composition, and power athlete status. Muscle fiber composition was determined in 164 physically active individuals (113 men, 51 women). BDNF genotype and allele frequencies were compared between 508 Russian power athletes, 178 endurance athletes, and 190 controls. We found that carriers of the minor A-allele (the BDNF-increasing allele) had significantly higher percentage of fast-twitch muscle fibers than individuals homozygous for the G-allele (males: 64.3 [7.8] vs. 50.3 [15.8]%, p = 0.0015; all subjects: 64.1 ± 7.9 vs. 49.6 ± 14.7%, p = 0.0002). Furthermore, the A-allele was associated (p = 0.036) with greater handgrip strength in a sub-group of physically active subjects (n = 83) and over-represented in power athletes compared with controls (7.7 vs. 2.4%, p = 0.0001). The presence of the A-allele (i.e., AA+AG genotypes) rather than GG genotype increased the odds ratio of being a power athlete compared with controls (odds ratio [OR]: 3.43, p = 0.00071) or endurance athletes (OR: 2.36, p = 0.0081). In conclusion, the rs10501089 A-allele is associated with increased proportion of fast-twitch muscle fibers and greater handgrip strength, and these may explain, in part, the association between the AA/AG genotypes and power athlete status.
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Affiliation(s)
- João Paulo L F Guilherme
- Laboratory of Applied Nutrition and Metabolism, School of Physical Education and Sport, University of São Paulo, São Paulo, Brazil
| | - Ekaterina A Semenova
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Oleg V Borisov
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.,Institute for Genomic Statistics and Bioinformatics, University Hospital Bonn, Bonn, Germany
| | - Elena S Kostryukova
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Tatiana F Vepkhvadze
- Laboratory of Exercise Physiology, Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia
| | - Evgeny A Lysenko
- Laboratory of Exercise Physiology, Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia
| | - Oleg N Andryushchenko
- Department of Physical Education, Financial University under the Government of the Russian Federation, Moscow, Russia
| | | | - Egor M Lednev
- Laboratory of Exercise Physiology, Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia
| | - Andrey K Larin
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Elvira A Bondareva
- Research Institute and Museum of Anthropology, Lomonosov Moscow State University, Moscow, Russia
| | - Edward V Generozov
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Ildus I Ahmetov
- Department of Physical Education, Plekhanov Russian University of Economics, Moscow, Russia.,Sports Genetics Laboratory, St Petersburg Research Institute of Physical Culture, St. Petersburg, Russia.,Laboratory of Molecular Genetics, Kazan State Medical University, Kazan, Russia.,Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom
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31
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Hamilton BR, Martinez-Patiño MJ, Barrett J, Seal L, Tucker R, Papadopoulou T, Bigard X, Kolliari-Turner A, Löllgen H, Zupet P, Ionescu A, Debruyne A, Jones N, Steinacker JM, Vonbank K, Lima G, Fagnani F, Fossati C, Di Luigi L, Pigozzi F, Casasco M, Geistlinger M, Wolfarth B, Seto JT, Bachl N, Twycross-Lewis R, Niederseer D, Bosch A, Swart J, Constantinou D, Muniz-Pardos B, Casajus JA, Badtieva V, Zelenkova I, Bilzon JLJ, Dohi M, Schneider C, Loland S, Verroken M, Marqueta PM, Arroyo F, Pedrinelli A, Natsis K, Verhagen E, Roberts WO, Lazzoli JK, Friedman R, Erdogan A, Cintron AV, Yung SHP, van Rensburg DCJ, Ramagole DA, Rozenstoka S, Drummond F, Webborn N, Guppy FM, Pitsiladis YP. Response to the United Nations Human Rights Council's Report on Race and Gender Discrimination in Sport: An Expression of Concern and a Call to Prioritise Research. Sports Med 2020; 51:839-842. [PMID: 33289907 PMCID: PMC7721858 DOI: 10.1007/s40279-020-01380-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/24/2020] [Indexed: 11/04/2022]
Affiliation(s)
- Blair R Hamilton
- Collaborating Centre of Sports Medicine, University of Brighton, Eastbourne, UK.,Centre for Stress and Age-Related Disease, University of Brighton, Eastbourne, UK.,The Gender Identity Clinic Tavistock and Portman NHS Foundation Trust, London, UK
| | | | - James Barrett
- The Gender Identity Clinic Tavistock and Portman NHS Foundation Trust, London, UK
| | - Leighton Seal
- The Gender Identity Clinic Tavistock and Portman NHS Foundation Trust, London, UK
| | | | - Theodora Papadopoulou
- European Federation of Sports Medicine Associations (EFSMA), Lausanne, Switzerland.,International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,British Association Sport and Exercise Medicine, Doncaster, UK.,Defense Medical Rehabilitation Centre (DMRC), Loughborough, UK
| | - Xavier Bigard
- European Federation of Sports Medicine Associations (EFSMA), Lausanne, Switzerland.,International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Union Cycliste Internationale (UCI), Aigle, Switzerland
| | | | - Herbert Löllgen
- European Federation of Sports Medicine Associations (EFSMA), Lausanne, Switzerland
| | - Petra Zupet
- European Federation of Sports Medicine Associations (EFSMA), Lausanne, Switzerland
| | - Anca Ionescu
- European Federation of Sports Medicine Associations (EFSMA), Lausanne, Switzerland
| | - Andre Debruyne
- European Federation of Sports Medicine Associations (EFSMA), Lausanne, Switzerland.,International Federation of Sports Medicine (FIMS), Lausanne, Switzerland
| | - Nigel Jones
- British Association Sport and Exercise Medicine, Doncaster, UK.,British Cycling and University of Liverpool, Liverpool, UK
| | - Juergen M Steinacker
- European Federation of Sports Medicine Associations (EFSMA), Lausanne, Switzerland.,International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Division of Sports and Rehabilitation Medicine, Ulm University Hospital, Ulm, Germany
| | - Karin Vonbank
- Department of Pneumology, Pulmonary Function Laboratory, Medicine Clinic (KIMII), University of Vienna, Vienna, Austria
| | - Giscard Lima
- Collaborating Centre of Sports Medicine, University of Brighton, Eastbourne, UK.,Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | - Federica Fagnani
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | - Chiara Fossati
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.,Villa Stuart Sport Clinic, FIFA Medical Center of Excellence, Rome, Italy
| | - Luigi Di Luigi
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | - Fabio Pigozzi
- European Federation of Sports Medicine Associations (EFSMA), Lausanne, Switzerland.,International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.,Villa Stuart Sport Clinic, FIFA Medical Center of Excellence, Rome, Italy
| | - Maurizio Casasco
- European Federation of Sports Medicine Associations (EFSMA), Lausanne, Switzerland.,International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Italian Federation of Sports Medicine (FMSI), Rome, Italy
| | - Michael Geistlinger
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Unit International Law, Department of Constitutional, International and European Law, University of Salzburg, Salzburg, Austria
| | - Bernd Wolfarth
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Department of Sports Medicine, Humboldt University and Charité University School of Medicine, Berlin, Germany
| | - Jane T Seto
- Murdoch Children's Research Institute, The Royal Children's Hospital, Melbourne, VIC, 3052, Australia.,Department of Paediatrics, University of Melbourne, The Royal Children's Hospital, Melbourne, VIC, 3052, Australia
| | - Norbert Bachl
- European Federation of Sports Medicine Associations (EFSMA), Lausanne, Switzerland.,International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Institute of Sports Science, University of Vienna, Vienna, Austria.,Austrian Institute of Sports Medicine, Vienna, Austria
| | - Richard Twycross-Lewis
- School of Engineering and Materials Science, Queen Mary University of London, London, UK
| | - David Niederseer
- Department of Cardiology, University Hospital Zurich University Heart Centre, University of Zurich, Zurich, Switzerland
| | - Andrew Bosch
- Division of Exercise Science and Sports Medicine, University of Cape Town, Cape Town, South Africa
| | - Jeroen Swart
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Division of Exercise Science and Sports Medicine, University of Cape Town, Cape Town, South Africa
| | - Demitri Constantinou
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Centre for Exercise Science and Sports Medicine, University of the Witwatersrand, Johannesburg, South Africa
| | - Borja Muniz-Pardos
- GENUD Research Group, Faculty of Sport and Health Sciences, Department of Physiatry and Nursing, University of Zaragoza, Zaragoza, Spain
| | - José Antonio Casajus
- GENUD Research Group, Faculty of Sport and Health Sciences, Department of Physiatry and Nursing, University of Zaragoza, Zaragoza, Spain
| | - Victoriya Badtieva
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,I.M. Sechenov First Moscow State Medical University (Sechenov University), Ministry of Health of Russia, Moscow, Russian Federation.,Moscow Research and Practical Centre for Medical Rehabilitation, Restorative and Sports Medicine, Moscow Healthcare Department, Moscow, Russian Federation
| | - Irina Zelenkova
- GENUD Research Group, Faculty of Sport and Health Sciences, Department of Physiatry and Nursing, University of Zaragoza, Zaragoza, Spain.,I.M. Sechenov First Moscow State Medical University (Sechenov University), Ministry of Health of Russia, Moscow, Russian Federation
| | - James L J Bilzon
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,British Association Sport and Exercise Medicine, Doncaster, UK.,Department for Health, University of Bath, Bath, UK
| | - Michiko Dohi
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Sport Medical Center, Japan Institute of Sports Sciences, Tokyo, Japan
| | - Christian Schneider
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Orthopaedic Center Theresie, Munich, Germany
| | - Sigmund Loland
- Institute of Sport and Social Sciences, Norwegian School of Sport Sciences, Oslo, Norway
| | - Michele Verroken
- Sporting Integrity Ltd, Stoke Mandeville, UK.,Centre of Research and Innovation for Sport, Technology and Law (CRISTAL), Faculty of Business and Law, De Montfort University, Leicester, UK
| | | | - Francisco Arroyo
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,FIMS Collaborating Center of Sports Medicine, Guadalajara, Mexico
| | - André Pedrinelli
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Department of Orthopaedics, University of São Paulo Medical School, São Paulo, Brazil
| | - Konstantinos Natsis
- European Federation of Sports Medicine Associations (EFSMA), Lausanne, Switzerland.,International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Intebalkan Medical Centre, FIMS Collaborating Centre of Sports Medicine, Thessaloniki, Greece
| | - Evert Verhagen
- Amsterdam Collaboration On Health and Safety in Sports, Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - William O Roberts
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Department of Family Medicine and Community Health, University of Minnesota, Minneapolis, USA
| | - José Kawazoe Lazzoli
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Biomedical Institute, Fluminense Federal University Medical School, Niterói, Brazil
| | - Rogerio Friedman
- Universidade Federal Do Rio Grande Do Sul, Endocrine Unit, Hospital de Clinicas de Porto Alegre, Porto Alegre, Brazil
| | - Ali Erdogan
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Gloria Sports Arena, FIMS Collaborating Centre of Sports Medicine, Antalya, Turkey
| | - Ana V Cintron
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Puerto Rico Sports Medicine Federation, San Juan, Puerto Rico
| | - Shu-Hang Patrick Yung
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Asian Federation of Sports Medicine (AFSM), Hong Kong Center of Sports Medicine and Sports Science, Hong Kong, China
| | - Dina C Janse van Rensburg
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Section Sports Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Dimakatso A Ramagole
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,Section Sports Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Sandra Rozenstoka
- European Federation of Sports Medicine Associations (EFSMA), Lausanne, Switzerland.,International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,FIMS Collaboration Centre of Sports Medicine, Sports Laboratory, Riga, Latvia
| | - Felix Drummond
- European Federation of Sports Medicine Associations (EFSMA), Lausanne, Switzerland.,International Federation of Sports Medicine (FIMS), Lausanne, Switzerland.,FIMS Collaboration Centre of Sports Medicine, Instituto de Medicina Do Esporte, Porto Alegre, Brazil
| | - Nick Webborn
- School of Sport and Service Management, University of Brighton, Eastbourne, UK
| | - Fergus M Guppy
- Collaborating Centre of Sports Medicine, University of Brighton, Eastbourne, UK.,Centre for Stress and Age-Related Disease, University of Brighton, Eastbourne, UK
| | - Yannis P Pitsiladis
- Collaborating Centre of Sports Medicine, University of Brighton, Eastbourne, UK. .,European Federation of Sports Medicine Associations (EFSMA), Lausanne, Switzerland. .,International Federation of Sports Medicine (FIMS), Lausanne, Switzerland. .,Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.
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32
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Moreland E, Borisov OV, Semenova EA, Larin AK, Andryushchenko ON, Andryushchenko LB, Generozov EV, Williams AG, Ahmetov II. Polygenic Profile of Elite Strength Athletes. J Strength Cond Res 2020; 36:2509-2514. [DOI: 10.1519/jsc.0000000000003901] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Are Genome-Wide Association Study Identified Single-Nucleotide Polymorphisms Associated With Sprint Athletic Status? A Replication Study With 3 Different Cohorts. Int J Sports Physiol Perform 2020; 16:489-495. [PMID: 33059329 DOI: 10.1123/ijspp.2019-1032] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2019] [Revised: 05/03/2020] [Accepted: 05/04/2020] [Indexed: 11/18/2022]
Abstract
PURPOSE To replicate previous genome-wide association study identified sprint-related polymorphisms in 3 different cohorts of top-level sprinters and to further validate the obtained results in functional studies. METHODS A total of 240 Japanese, 290 Russians, and 593 Brazilians were evaluated in a case-control approach. Of these, 267 were top-level sprint/power athletes. In addition, the relationship between selected polymorphisms and muscle fiber composition was evaluated in 203 Japanese and 287 Finnish individuals. RESULTS The G allele of the rs3213537 polymorphism was overrepresented in Japanese (odds ratio [OR]: 2.07, P = .024) and Russian (OR: 1.93, P = .027) sprinters compared with endurance athletes and was associated with an increased proportion of fast-twitch muscle fibers in Japanese (P = .02) and Finnish (P = .041) individuals. A meta-analysis of the data from 4 athlete cohorts confirmed that the presence of the G/G genotype rather than the G/A+A/A genotypes increased the OR of being a sprinter compared with controls (OR: 1.49, P = .01), endurance athletes (OR: 1.79, P = .001), or controls + endurance athletes (OR: 1.58, P = .002). Furthermore, male sprinters with the G/G genotype were found to have significantly faster personal times in the 100-m dash than those with G/A+A/A genotypes (10.50 [0.26] vs 10.76 [0.31], P = .014). CONCLUSION The rs3213537 polymorphism found in the CPNE5 gene was identified as a highly replicable variant associated with sprinting ability and the increased proportion of fast-twitch muscle fibers, in which the homozygous genotype for the major allele (ie, the G/G genotype) is preferable for performance.
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34
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Mandroukas A, Metaxas TI, Papadopoulou Z, Heller J, Margaritelis NV, Christoulas K, Ekblom B, Vrabas IS. Myosin heavy chain isoform composition in the deltoid and vastus lateralis muscles of elite handball players. J Sports Sci 2020; 38:2390-2395. [PMID: 32602402 DOI: 10.1080/02640414.2020.1788284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
The purpose of the present study was to compare the myosin heavy chain (MHC) isoform composition of the deltoid and vastus lateralis muscles of the dominant and non-dominant limbs in handball players. Eleven male Greek elite handball players (age 22.6 ± 1.9 yrs, training experience 10.6 ± 2.1 yrs, height 184.1 ± 4.1 cm, and weight 81.0 ± 12.5 kg) participated in the study. Four muscle biopsies were obtained from the dominant and non-dominant deltoid and vastus lateralis muscles during the in-season period. The MHC composition was determined using SDS-PAGE. No significant difference was found between the dominant and non-dominant muscles; Deltoid muscle: MHC I [(95%CI = -1.22, 0.33), P = 0.228], MHC ΙΙa [(95%CI = -0.32, 1.59), P = 0.168] and MHC IIx [(95%CI = -1.49, 1.10), P = 0.749]; Vastus lateralis muscle: MHC I [(95%CI = -0.38, 0.63), P = 0.586], MHC ΙΙa [(95%CI = -0.50, 0.65), P = 0.783] and MHC IIx [(95%CI = -1.08, 0.42), P = 0.355]. The findings of the present study indicate that the greater use of the dominant limbs for throwing actions and body movements in handball do not lead to altered MHC isoform composition compared to the non-dominant limbs.
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Affiliation(s)
- Athanasios Mandroukas
- Faculty of Physical Education and Sport, Charles University , Prague, Czech Republic
| | - Thomas I Metaxas
- Laboratory of Evaluation of Human Biological Performance, Department of Physical Education and Sports Science, Aristotle University of Thessaloniki , Thessaloniki, Greece
| | - Zacharoula Papadopoulou
- Laboratory of Evaluation of Human Biological Performance, Department of Physical Education and Sports Science, Aristotle University of Thessaloniki , Thessaloniki, Greece.,School of Physical Education and Sport Science, Department of Competitive Sports, Division of Team Handball, Aristotle University of Thessaloniki , Thessaloniki, Greece.,Laboratory of Exercise Physiology & Biochemistry, Department of Physical Education and Sports Science at Serres, Aristotle University of Thessaloniki , Thessaloniki, Greece
| | - Jan Heller
- Faculty of Physical Education and Sport, Charles University , Prague, Czech Republic
| | - Nikos V Margaritelis
- Laboratory of Exercise Physiology & Biochemistry, Department of Physical Education and Sports Science at Serres, Aristotle University of Thessaloniki , Thessaloniki, Greece
| | - Kosmas Christoulas
- Laboratory of Evaluation of Human Biological Performance, Department of Physical Education and Sports Science, Aristotle University of Thessaloniki , Thessaloniki, Greece
| | - Bjorn Ekblom
- Åstrand Laboratory of Work Physiology, The Swedish School of Sport and Health Sciences , Stockholm, Sweden
| | - Ioannis S Vrabas
- Laboratory of Exercise Physiology & Biochemistry, Department of Physical Education and Sports Science at Serres, Aristotle University of Thessaloniki , Thessaloniki, Greece
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35
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Rubenstein AB, Smith GR, Raue U, Begue G, Minchev K, Ruf-Zamojski F, Nair VD, Wang X, Zhou L, Zaslavsky E, Trappe TA, Trappe S, Sealfon SC. Single-cell transcriptional profiles in human skeletal muscle. Sci Rep 2020; 10:229. [PMID: 31937892 PMCID: PMC6959232 DOI: 10.1038/s41598-019-57110-6] [Citation(s) in RCA: 165] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 12/18/2019] [Indexed: 12/22/2022] Open
Abstract
Skeletal muscle is a heterogeneous tissue comprised of muscle fiber and mononuclear cell types that, in addition to movement, influences immunity, metabolism and cognition. We investigated the gene expression patterns of skeletal muscle cells using RNA-seq of subtype-pooled single human muscle fibers and single cell RNA-seq of mononuclear cells from human vastus lateralis, mouse quadriceps, and mouse diaphragm. We identified 11 human skeletal muscle mononuclear cell types, including two fibro-adipogenic progenitor (FAP) cell subtypes. The human FBN1+ FAP cell subtype is novel and a corresponding FBN1+ FAP cell type was also found in single cell RNA-seq analysis in mouse. Transcriptome exercise studies using bulk tissue analysis do not resolve changes in individual cell-type proportion or gene expression. The cell-type gene signatures provide the means to use computational methods to identify cell-type level changes in bulk studies. As an example, we analyzed public transcriptome data from an exercise training study and revealed significant changes in specific mononuclear cell-type proportions related to age, sex, acute exercise and training. Our single-cell expression map of skeletal muscle cell types will further the understanding of the diverse effects of exercise and the pathophysiology of muscle disease.
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Affiliation(s)
- Aliza B Rubenstein
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA.,Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA
| | - Gregory R Smith
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA.,Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA
| | - Ulrika Raue
- Human Performance Laboratory, Ball State University, Muncie, Indiana, 47306, USA
| | - Gwénaëlle Begue
- Human Performance Laboratory, Ball State University, Muncie, Indiana, 47306, USA
| | - Kiril Minchev
- Human Performance Laboratory, Ball State University, Muncie, Indiana, 47306, USA
| | - Frederique Ruf-Zamojski
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA.,Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA
| | - Venugopalan D Nair
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA.,Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA
| | - Xingyu Wang
- Department of Neurology, Boston University Medical Center, Boston, MA, 02118, USA
| | - Lan Zhou
- Department of Neurology, Boston University Medical Center, Boston, MA, 02118, USA
| | - Elena Zaslavsky
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA.,Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA
| | - Todd A Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana, 47306, USA
| | - Scott Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana, 47306, USA
| | - Stuart C Sealfon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA. .,Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA.
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36
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Chambers TL, Burnett TR, Raue U, Lee GA, Finch WH, Graham BM, Trappe TA, Trappe S. Skeletal muscle size, function, and adiposity with lifelong aerobic exercise. J Appl Physiol (1985) 2019; 128:368-378. [PMID: 31829806 DOI: 10.1152/japplphysiol.00426.2019] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
We examined the influence of lifelong aerobic exercise on skeletal muscle size, function, and adiposity. Young exercisers [YE; n = 20, 10 women (W), 25 ± 1 yr], lifelong exercisers (LLE; n = 28, 7 W, 74 ± 2 yr), and old healthy nonexercisers (OH; n = 20, 10 W, 75 ± 1 yr) were studied. On average, LLE exercised 5 days/wk for 7 h/wk over the past 52 ± 1 yr. The LLE men were subdivided by exercise intensity [Performance (LLE-P), n = 14; Fitness (LLE-F), n = 7]. Upper and lower leg muscle size and adiposity [intermuscular adipose tissue (IMAT)] were determined via MRI, and quadriceps isotonic and isometric function was assessed. For the quadriceps, aging decreased muscle size, isotonic and isometric strength, contraction velocity (men only), and power (P < 0.05). In women, LLE did not influence muscle size or function. In men, LLE attenuated the decline in muscle size and isometric strength by ~50% (P < 0.05). LLE did not influence other aspects of muscle function, nor did training intensity influence muscle size or function. For the triceps surae, aging decreased muscle size only in the women, whereas LLE (both sexes) and training intensity (LLE men) did not influence muscle size. In both sexes, aging increased thigh and calf IMAT by ~130% (P < 0.05), whereas LLE attenuated the thigh increase by ~50% (P < 0.05). In the LLE men, higher training intensity decreased thigh and calf IMAT by ~30% (P < 0.05). In summary, aging and lifelong aerobic exercise influenced muscle size, function, and adipose tissue infiltration in a sex- and muscle-specific fashion. Higher training intensity throughout the life span provided greater protection against adipose tissue infiltration into muscle.NEW & NOTEWORTHY This is the first study to examine skeletal muscle size, function, and adiposity in women and men in their eighth decade of life that have engaged in lifelong aerobic exercise. The findings reveal sex and upper and lower leg muscle group-specific benefits related to skeletal muscle size, function, and adiposity and that exercise intensity influences intermuscular adiposity. This emerging cohort will further our understanding of the health implications of maintaining exercise throughout the life span.
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Affiliation(s)
- Toby L Chambers
- Human Performance Laboratory, Ball State University, Muncie, Indiana
| | - Timothy R Burnett
- Human Performance Laboratory, Ball State University, Muncie, Indiana
| | - Ulrika Raue
- Human Performance Laboratory, Ball State University, Muncie, Indiana
| | - Gary A Lee
- Human Performance Laboratory, Ball State University, Muncie, Indiana
| | - W Holmes Finch
- Human Performance Laboratory, Ball State University, Muncie, Indiana
| | - Bruce M Graham
- Human Performance Laboratory, Ball State University, Muncie, Indiana
| | - Todd A Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana
| | - Scott Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana
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Purohit G, Dhawan J. Adult Muscle Stem Cells: Exploring the Links Between Systemic and Cellular Metabolism. Front Cell Dev Biol 2019; 7:312. [PMID: 31921837 PMCID: PMC6915107 DOI: 10.3389/fcell.2019.00312] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Accepted: 11/15/2019] [Indexed: 12/13/2022] Open
Abstract
Emerging evidence suggests that metabolites are important regulators of skeletal muscle stem cell (MuSC) function and fate. While highly proliferative in early life, MuSCs reside in adult skeletal muscle tissue in a quiescent and metabolically depressed state, but are critical for the homeostatic maintenance and regenerative response of the tissue to damage. It is well established that metabolic activity in MuSC changes with their functional activation, but the spatiotemporal links between physiological metabolism and stem cell metabolism require explicit delineation. The quiescent MuSC is defined by a specific metabolic state, which is controlled by intrinsic and extrinsic factors during physiological and pathological tissue dynamics. However, the extent of tissue and organismal level changes driven by alteration in metabolic state of quiescent MuSC is currently not well defined. In addition to their role as biosynthetic precursors and signaling molecules, metabolites are key regulators of epigenetic mechanisms. Emerging evidence points to metabolic control of epigenetic mechanisms in MuSC and their impact on muscle regenerative capacity. In this review, we explore the links between cell-intrinsic, tissue level, and systemic metabolic state in the context of MuSC metabolic state, quiescence, and tissue homeostasis to highlight unanswered questions.
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Affiliation(s)
- Gunjan Purohit
- Centre for Cellular and Molecular Biology, Hyderabad, India
| | - Jyotsna Dhawan
- Centre for Cellular and Molecular Biology, Hyderabad, India
- Institute for Stem Cell Science and Regenerative Medicine, Bengaluru, India
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Gries KJ, Minchev K, Raue U, Grosicki GJ, Begue G, Finch WH, Graham B, Trappe TA, Trappe S. Single-muscle fiber contractile properties in lifelong aerobic exercising women. J Appl Physiol (1985) 2019; 127:1710-1719. [PMID: 31670601 PMCID: PMC6962607 DOI: 10.1152/japplphysiol.00459.2019] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 10/22/2019] [Accepted: 10/25/2019] [Indexed: 01/05/2023] Open
Abstract
The purpose of this study was to examine the effects of lifelong aerobic exercise on single-muscle fiber performance in trained women (LLE; n = 7, 72 ± 2 yr) by comparing them to old healthy nonexercisers (OH; n = 10, 75 ± 1 yr) and young exercisers (YE; n = 10, 25 ± 1 yr). On average, LLE had exercised ~5 days/wk for ~7 h/wk over the past 48 ± 2 yr. Each subject had a vastus lateralis muscle biopsy to examine myosin heavy chain (MHC) I and IIa single-muscle fiber size and function (strength, speed, power). MHC I fiber size was similar across all three cohorts (YE = 5,178 ± 157, LLE = 4,983 ± 184, OH = 4,902 ± 159 µm2). MHC IIa fiber size decreased (P < 0.05) 36% with aging (YE = 4,719 ± 164 vs. OH = 3,031 ± 153 µm2), with LLE showing a similar 31% reduction (3,253 ± 189 µm2). LLE had 17% more powerful (P < 0.05) MHC I fibers and offset the 18% decline in MHC IIa fiber power observed with aging (P < 0.05). The LLE contractile power was driven by greater strength (+11%, P = 0.056) in MHC I fibers and elevated contractile speed (+12%, P < 0.05) in MHC IIa fibers. These data indicate that lifelong exercise did not benefit MHC I or IIa muscle fiber size. However, LLE had contractile function adaptations that enhanced MHC I fiber power and preserved MHC IIa fiber power through different contractile mechanisms (strength vs. speed). The single-muscle fiber contractile properties observed with lifelong aerobic exercise are unique and provide new insights into aging skeletal muscle plasticity in women at the myocellular level.NEW & NOTEWORTHY This is the first investigation to examine the effects of lifelong exercise on single-muscle fiber physiology in women. Nearly 50 yr of moderate to vigorous aerobic exercise training resulted in enhanced slow-twitch fiber power primarily by increasing force production, whereas fast-twitch fiber power was preserved primarily by increasing contractile speed. These unique muscle fiber power profiles helped offset the effects of fast-twitch fiber atrophy and highlight the benefits of lifelong aerobic exercise for myocellular health.
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Affiliation(s)
- Kevin J Gries
- Human Performance Laboratory, Ball State University, Muncie, Indiana
| | - Kiril Minchev
- Human Performance Laboratory, Ball State University, Muncie, Indiana
| | - Ulrika Raue
- Human Performance Laboratory, Ball State University, Muncie, Indiana
| | | | - Gwénaëlle Begue
- Human Performance Laboratory, Ball State University, Muncie, Indiana
| | - W Holmes Finch
- Human Performance Laboratory, Ball State University, Muncie, Indiana
| | - Bruce Graham
- Human Performance Laboratory, Ball State University, Muncie, Indiana
| | - Todd A Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana
| | - Scott Trappe
- Human Performance Laboratory, Ball State University, Muncie, Indiana
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Murach KA, Dungan CM, Kosmac K, Voigt TB, Tourville TW, Miller MS, Bamman MM, Peterson CA, Toth MJ. Fiber typing human skeletal muscle with fluorescent immunohistochemistry. J Appl Physiol (1985) 2019; 127:1632-1639. [PMID: 31697594 DOI: 10.1152/japplphysiol.00624.2019] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Skeletal muscle myosin heavy chain (MyHC) fiber type composition is a critical determinant of overall muscle function and health. Various approaches interrogate fiber type at the single cell, but the two most commonly utilized are single-muscle fiber sodium dodecyl sulfate-polyacrylamide gel electrophoresis (smfSDS-PAGE) and fluorescent immunohistochemistry (IHC). Although smfSDS-PAGE is generally considered the "gold standard," IHC is more commonly used because of its time-effectiveness and relative ease. Unfortunately, there is lingering inconsistency on how best to accurately and quickly determine fiber type via IHC and an overall misunderstanding regarding pure fiber type proportions, specifically the abundance of fibers exclusively expressing highly glycolytic MyHC IIX in humans. We therefore 1) present information and data showing the low abundance of pure MyHC IIX muscle fibers in healthy human skeletal muscle and 2) leverage this information to provide straightforward protocols that are informed by human biology and employ inexpensive, easily attainable antibodies for the accurate determination of fiber type.
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Affiliation(s)
- Kevin A Murach
- Department of Physical Therapy and Center for Muscle Biology, College of Health Sciences, University of Kentucky, Lexington, Kentucky
| | - Cory M Dungan
- Department of Physical Therapy and Center for Muscle Biology, College of Health Sciences, University of Kentucky, Lexington, Kentucky
| | - Kate Kosmac
- Department of Physical Therapy and Center for Muscle Biology, College of Health Sciences, University of Kentucky, Lexington, Kentucky
| | - Thomas B Voigt
- Departments of Medicine and Molecular Physiology and Biophysics, College of Medicine and College of Nursing and Health Sciences, University of Vermont, Burlington, Vermont
| | - Timothy W Tourville
- Department of Rehabilitation and Movement Science, College of Nursing and Health Sciences, University of Vermont, Burlington, Vermont
| | - Mark S Miller
- Department of Kinesiology, School of Public Health and Health Sciences, University of Massachusetts-Amherst, Amherst, Massachusetts
| | - Marcas M Bamman
- Departments of Cell, Developmental, and Integrative Biology, Medicine, and Neurology, School of Medicine, University of Alabama-Birmingham, Birmingham, Alabama
| | - Charlotte A Peterson
- Department of Physical Therapy and Center for Muscle Biology, College of Health Sciences, University of Kentucky, Lexington, Kentucky
| | - Michael J Toth
- Departments of Medicine and Molecular Physiology and Biophysics, College of Medicine and College of Nursing and Health Sciences, University of Vermont, Burlington, Vermont
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Machek SB, Lorenz KA, Kern M, Galpin AJ, Bagley JR. Skeletal Muscle Fiber Type and Morphology in a Middle-Aged Elite Male Powerlifter Using Anabolic Steroids. ACTA ACUST UNITED AC 2019. [DOI: 10.1007/s42978-019-00039-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Sandford GN, Stellingwerff T. " Question Your Categories": the Misunderstood Complexity of Middle-Distance Running Profiles With Implications for Research Methods and Application. Front Sports Act Living 2019; 1:28. [PMID: 33344952 PMCID: PMC7739647 DOI: 10.3389/fspor.2019.00028] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 09/02/2019] [Indexed: 11/15/2022] Open
Abstract
Middle-distance running provides unique complexity where very different physiological and structural/mechanical profiles may achieve similar elite performances. Training and improving the key determinants of performance and applying interventions to athletes within the middle-distance event group are probably much more divergent than many practitioners and researchers appreciate. The addition of maximal sprint speed and other anaerobic and biomechanical based parameters, alongside more commonly captured aerobic characteristics, shows promise to enhance our understanding and analysis within the complexities of middle-distance sport science. For coaches, athlete diversity presents daily training programming challenges in order to best individualize a given stimulus according to the athletes profile and avoid “non-responder” outcomes. It is from this decision making part of the coaching process, that we target this mini-review. First we ask researchers to “question their categories” concerning middle-distance event groupings. Historically broad classifications have been used [from 800 m (~1.5 min) all the way to 5,000 m (~13–15 min)]. Here within we show compelling rationale from physiological and event demand perspectives for narrowing middle-distance to 800 and 1,500 m alone (1.5–5 min duration), considering the diversity of bioenergetics and mechanical constraints within these events. Additionally, we provide elite athlete data showing the large diversity of 800 and 1,500 m athlete profiles, a critical element that is often overlooked in middle-distance research design. Finally, we offer practical recommendations on how researchers, practitioners, and coaches can advance training study designs, scientific interventions, and analysis on middle-distance athletes/participants to provide information for individualized decision making trackside and more favorable and informative study outcomes.
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Affiliation(s)
- Gareth N Sandford
- School of Kinesiology, University of British Columbia, Vancouver, BC, Canada.,Physiology, Canadian Sport Institute-Pacific, Victoria, BC, Canada.,Athletics Canada, Ottawa, ON, Canada
| | - Trent Stellingwerff
- School of Kinesiology, University of British Columbia, Vancouver, BC, Canada.,Physiology, Canadian Sport Institute-Pacific, Victoria, BC, Canada.,Athletics Canada, Ottawa, ON, Canada
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Jacko D, Bersiner K, Hebchen J, de Marées M, Bloch W, Gehlert S. Phosphorylation of αB-crystallin and its cytoskeleton association differs in skeletal myofiber types depending on resistance exercise intensity and volume. J Appl Physiol (1985) 2019; 126:1607-1618. [PMID: 30920888 DOI: 10.1152/japplphysiol.01038.2018] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
αB-crystallin (CRYAB) is an important actor in the immediate cell stabilizing response following mechanical stress in skeletal muscle. Yet, only little is known regarding myofiber type-specific stress responses of CRYAB. We investigated whether the phosphorylation of CRYAB at serine 59 (pCRYABSer59) and its cytoskeleton association are influenced by varying load-intensity and -volume in a fiber type-specific manner. Male subjects were assigned to 1, 5, and 10 sets of different acute resistance exercise protocols: hypertrophy (HYP), maximum strength (MAX), strength endurance (SE), low intensity (LI), and three sets of maximum eccentric resistance exercise (ECC). Skeletal muscle biopsies were taken at baseline and 30 min after exercise. Western blot revealed an increase in pCRYABSer59 only following 5 and 10 sets in groups HYP, MAX, SE, and LI as well as following 3 sets in the ECC group. In type I fibers, immunohistochemistry determined increased pCRYABSer59 in all groups. In type II fibers, pCRYABSer59 only increased in MAX and ECC groups, with the increase in type II fibers exceeding that of type I fibers in ECC. Association of CRYAB and pCRYABSer59 with the cytoskeleton reflected the fiber type-specific phosphorylation pattern. Phosphorylation of CRYAB and its association with the cytoskeleton in type I and II myofibers is highly specific in terms of loading intensity and volume. Most likely, this is based on specific recruitment patterns of the different myofiber entities due to the different resistance exercise loadings. We conclude that pCRYABSer59 indicates contraction-induced mechanical stress exposure of single myofibers in consequence of resistance exercise. NEW & NOTEWORTHY We determined that the phosphorylation of αB-crystallin at serine 59 (pCRYABSer59) after resistance exercise differs between myofiber types in a load- and intensity-dependent manner. The determination of pCRYABSer59 could serve as a marker indirectly indicating contractile involvement and applied mechanical stress on individual fibers. By that, it is possible to retrospectively assess the impact of resistance exercise loading on skeletal muscle fiber entities.
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Affiliation(s)
- Daniel Jacko
- Section of Molecular and Cellular Sport Medicine, Institute of Cardiovascular Research and Sport Medicine, German Sport University Cologne , Cologne , Germany.,Olympic Base Center Rhineland , Cologne , Germany
| | - Käthe Bersiner
- Institute of Sport Science, University of Hildesheim , Hildesheim , Germany
| | - Jonas Hebchen
- Section of Molecular and Cellular Sport Medicine, Institute of Cardiovascular Research and Sport Medicine, German Sport University Cologne , Cologne , Germany
| | - Markus de Marées
- Section of Sports Medicine and Sports Nutrition, Faculty of Sport Science, Ruhr University of Bochum , Bochum , Germany
| | - Wilhelm Bloch
- Section of Molecular and Cellular Sport Medicine, Institute of Cardiovascular Research and Sport Medicine, German Sport University Cologne , Cologne , Germany
| | - Sebastian Gehlert
- Section of Molecular and Cellular Sport Medicine, Institute of Cardiovascular Research and Sport Medicine, German Sport University Cologne , Cologne , Germany.,Institute of Sport Science, University of Hildesheim , Hildesheim , Germany
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Extraordinary fast-twitch fiber abundance in elite weightlifters. PLoS One 2019; 14:e0207975. [PMID: 30917128 PMCID: PMC6436686 DOI: 10.1371/journal.pone.0207975] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 02/15/2019] [Indexed: 11/19/2022] Open
Abstract
Human skeletal muscle fibers exist across a continuum of slow → fast-twitch. The amount of each fiber type (FT) influences muscle performance but remains largely unexplored in elite athletes, particularly from strength/power sports. To address this nescience, vastus lateralis (VL) biopsies were performed on World/Olympic (female, n = 6, "WCF") and National-caliber (female, n = 9, "NCF"; and male, n = 6, "NCM") American weightlifters. Participant accolades included 3 Olympic Games, 19 World Championships, 25 National records, and >170 National/International medals. Samples were analyzed for myosin heavy chain (MHC) content via SDS-PAGE using two distinct techniques: single fiber (SF) distribution (%) and homogenate (HG) composition. The main finding was that these athletes displayed the highest pure MHC IIa concentrations ever reported in healthy VL (23±9% I, 5±3% I/IIa, 67±13% IIa, and 6±10% IIa/IIx), with WCF expressing a notable 71±17% (NCF = 67±8%, NCM = 63±16%). No pure MHC IIx were found with SF. Secondary analysis revealed the heavyweights accounted for 91% of the MHC IIa/IIx fibers, which caused a correlation between this FT and body mass. Additionally, when compared to SF, HG overestimated MHC I (23±9 vs. 31±9%) and IIx (0±0 vs. 3±6%) by misclassifying I/IIa fibers as I and IIa/IIx fibers as IIx, highlighting the limitation of HG as a measure of isoform distribution. These results collectively suggest that athlete caliber (World vs. National) and/or years competing in the sport determine FT% more than sex, particularly for MHC IIa. The extreme fast-twitch myofiber abundance likely explains how elite weightlifters generate high forces in rapid time-frames.
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Fueling for the Field: Nutrition for Jumps, Throws, and Combined Events. Int J Sport Nutr Exerc Metab 2019; 29:95-105. [DOI: 10.1123/ijsnem.2018-0272] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Athletes participating in the athletics (track and field) events of jumps, throws, and combined events (CEs; seven-event heptathlon and 10-event decathlon) engage in training and competition that emphasize speed and explosive movements, requiring optimal power–weight ratios. While these athletes represent a wide range of somatotypes, they share an emphasis on Type IIa and IIx muscle fiber typing. In general, athletes competing in jumps tend to have a lower body mass and may benefit from a higher protein (1.5–1.8 g PRO·kg−1·day−1) and lower carbohydrate (3–6 g CHO·kg−1·day−1) diet. Throwers tend to have a higher body mass, but with considerable differences between events. Their intense, whole-body training program suggests higher PRO requirements (1.5–2.2 g PRO·kg−1·day−1), while CHO needs (per kg) are similar to jumpers. The CE athletes must strike a balance between strength and muscle mass for throws and sprints, while maintaining a low enough body mass to maximize performance in jumps and middle-distance events. CE athletes may benefit from a higher PRO (1.5–2 g PRO·kg−1·day−1) and moderate CHO (5–8 g CHO·kg−1·day−1) diet with good energy availability to support multiple daily training sessions. Since they compete over 2 days, well-rehearsed competition-day fueling and recovery strategies are imperative for CE athletes. Depending on their events’ bioenergetic demands, athletes in throws, jumps, and CE may benefit from the periodized use of ergogenic aids, including creatine, caffeine, and/or beta-alanine. The diverse training demands, physiques, and competitive environments of jumpers, throwers, and CE athletes necessitate nutrition interventions that are periodized throughout the season and tailored to the individual needs of the athlete.
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Walton RG, Kosmac K, Mula J, Fry CS, Peck BD, Groshong JS, Finlin BS, Zhu B, Kern PA, Peterson CA. Human skeletal muscle macrophages increase following cycle training and are associated with adaptations that may facilitate growth. Sci Rep 2019; 9:969. [PMID: 30700754 PMCID: PMC6353900 DOI: 10.1038/s41598-018-37187-1] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 11/23/2018] [Indexed: 12/26/2022] Open
Abstract
Skeletal muscle macrophages participate in repair and regeneration following injury. However, their role in physiological adaptations to exercise is unexplored. We determined whether endurance exercise training (EET) alters macrophage content and characteristics in response to resistance exercise (RE), and whether macrophages are associated with other exercise adaptations. Subjects provided vastus lateralis biopsies before and after one bout of RE, after 12 weeks of EET (cycling), and after a final bout of RE. M2 macrophages (CD11b+/CD206+) did not increase with RE, but increased in response to EET (P < 0.01). Increases in M2 macrophages were positively correlated with fiber hypertrophy (r = 0.49) and satellite cells (r = 0.47). M2c macrophages (CD206+/CD163+) also increased following EET (P < 0.001), and were associated with fiber hypertrophy (r = 0.64). Gene expression was quantified using NanoString. Following EET, the change in M2 macrophages was positively associated with changes in HGF, IGF1, and extracellular matrix genes. EET decreased expression of IL6 (P < 0.05), C/EBPβ (P < 0.01), and MuRF (P < 0.05), and increased expression of IL-4 (P < 0.01), TNFα (P < 0.01) and the TWEAK receptor FN14 (P < 0.05). The change in FN14 gene expression was inversely associated with changes in C/EBPβ (r = -0.58) and MuRF (r = -0.46) following EET. In cultured human myotubes, siRNA inhibition of FN14 increased expression of C/EBPβ (P < 0.05) and MuRF (P < 0.05). Our data suggest that macrophages contribute to the muscle response to EET, potentially including modulation of TWEAK-FN14 signaling.
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Affiliation(s)
- R Grace Walton
- College of Health Sciences and Center for Muscle Biology, University of Kentucky, Lexington, Kentucky, USA.
| | - Kate Kosmac
- College of Health Sciences and Center for Muscle Biology, University of Kentucky, Lexington, Kentucky, USA
| | - Jyothi Mula
- College of Health Sciences and Center for Muscle Biology, University of Kentucky, Lexington, Kentucky, USA
| | - Christopher S Fry
- Deptartment of Nutrition & Metabolism, School of Health Professions, University of Texas Medical Branch at Galveston, Galveston, Texas, USA
| | - Bailey D Peck
- College of Health Sciences and Center for Muscle Biology, University of Kentucky, Lexington, Kentucky, USA
| | - Jason S Groshong
- Department of Health Professions, University of Central Florida, Orlando, Florida, USA
| | - Brian S Finlin
- Department of Medicine, Division of Endocrinology, and Barnstable Brown Diabetes and Obesity Center, University of Kentucky, Lexington, Kentucky, USA
| | - Beibei Zhu
- Department of Medicine, Division of Endocrinology, and Barnstable Brown Diabetes and Obesity Center, University of Kentucky, Lexington, Kentucky, USA
| | - Philip A Kern
- Department of Medicine, Division of Endocrinology, and Barnstable Brown Diabetes and Obesity Center, University of Kentucky, Lexington, Kentucky, USA
| | - Charlotte A Peterson
- College of Health Sciences and Center for Muscle Biology, University of Kentucky, Lexington, Kentucky, USA
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Muscle health and performance in monozygotic twins with 30 years of discordant exercise habits. Eur J Appl Physiol 2018; 118:2097-2110. [PMID: 30006671 DOI: 10.1007/s00421-018-3943-7] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 07/10/2018] [Indexed: 01/05/2023]
Abstract
INTRODUCTION Physical health and function depend upon both genetic inheritance and environmental factors (e.g., exercise training). PURPOSE To enhance the understanding of heritability/adaptability, we explored the skeletal muscle health and physiological performance of monozygotic (MZ) twins with > 30 years of chronic endurance training vs. no specific/consistent exercise. METHODS One pair of male MZ twins (age = 52 years; Trained Twin, TT; Untrained Twin, UT) underwent analyses of: (1) anthropometric characteristics and blood profiles, (2) markers of cardiovascular and pulmonary health, and (3) skeletal muscle size, strength, and power and molecular markers of muscle health. RESULTS This case study represents the most comprehensive physiological comparison of MZ twins with this length and magnitude of differing exercise history. TT exhibited: (1) lower body mass, body fat%, resting heart rate, blood pressure, cholesterol, triglycerides, and plasma glucose, (2) greater relative cycling power, anaerobic endurance, and aerobic capacity (VO2max), but lower muscle size/strength and poorer muscle quality, (3) more MHC I (slow-twitch) and fewer MHC IIa (fast-twitch) fibers, (4) greater AMPK protein expression, and (5) greater PAX7, IGF1Ec, IGF1Ea, and FN14 mRNA expression than UT. CONCLUSIONS Several measured differences are the largest reported between MZ twins (TT expressed 55% more MHC I fibers, 12.4 ml/kg/min greater VO2max, and 8.6% lower body fat% vs. UT). These data collectively (a) support utilizing chronic endurance training to improve body composition and cardiovascular health and (b) suggest the cardiovascular and skeletal muscle systems exhibit greater plasticity than previously thought, further highlighting the importance of studying MZ twins with large (long-term) differences in exposomes.
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Roberts MD, Haun CT, Mobley CB, Mumford PW, Romero MA, Roberson PA, Vann CG, McCarthy JJ. Physiological Differences Between Low Versus High Skeletal Muscle Hypertrophic Responders to Resistance Exercise Training: Current Perspectives and Future Research Directions. Front Physiol 2018; 9:834. [PMID: 30022953 PMCID: PMC6039846 DOI: 10.3389/fphys.2018.00834] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 06/13/2018] [Indexed: 12/22/2022] Open
Abstract
Numerous reports suggest there are low and high skeletal muscle hypertrophic responders following weeks to months of structured resistance exercise training (referred to as low and high responders herein). Specifically, divergent alterations in muscle fiber cross sectional area (fCSA), vastus lateralis thickness, and whole body lean tissue mass have been shown to occur in high versus low responders. Differential responses in ribosome biogenesis and subsequent protein synthetic rates during training seemingly explain some of this individual variation in humans, and mechanistic in vitro and rodent studies provide further evidence that ribosome biogenesis is critical for muscle hypertrophy. High responders may experience a greater increase in satellite cell proliferation during training versus low responders. This phenomenon could serve to maintain an adequate myonuclear domain size or assist in extracellular remodeling to support myofiber growth. High responders may also express a muscle microRNA profile during training that enhances insulin-like growth factor-1 (IGF-1) mRNA expression, although more studies are needed to better validate this mechanism. Higher intramuscular androgen receptor protein content has been reported in high versus low responders following training, and this mechanism may enhance the hypertrophic effects of testosterone during training. While high responders likely possess “good genetics,” such evidence has been confined to single gene candidates which typically share marginal variance with hypertrophic outcomes following training (e.g., different myostatin and IGF-1 alleles). Limited evidence also suggests pre-training muscle fiber type composition and self-reported dietary habits (e.g., calorie and protein intake) do not differ between high versus low responders. Only a handful of studies have examined muscle biomarkers that are differentially expressed between low versus high responders. Thus, other molecular and physiological variables which could potentially affect the skeletal muscle hypertrophic response to resistance exercise training are also discussed including rDNA copy number, extracellular matrix and connective tissue properties, the inflammatory response to training, and mitochondrial as well as vascular characteristics.
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Affiliation(s)
| | - Cody T Haun
- School of Kinesiology, Auburn University, Auburn, AL, United States
| | | | - Petey W Mumford
- School of Kinesiology, Auburn University, Auburn, AL, United States
| | - Matthew A Romero
- School of Kinesiology, Auburn University, Auburn, AL, United States
| | - Paul A Roberson
- School of Kinesiology, Auburn University, Auburn, AL, United States
| | | | - John J McCarthy
- Department of Physiology, University of Kentucky College of Medicine, Lexington, KY, United States
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Guilherme JPLF, Silva MS, Bertuzzi R, Lancha Junior AH. TheAGTR2rs11091046 (A>C) polymorphism and power athletic status in top-level Brazilian athletes. J Sports Sci 2018; 36:2327-2332. [DOI: 10.1080/02640414.2018.1455260] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
| | - Mariana Sussi Silva
- Laboratory of Applied Nutrition and Metabolism, School of Physical Education and Sport, University of Sao Paulo, Sao Paulo, Brazil
| | - Rômulo Bertuzzi
- Endurance Performance Research Group, School of Physical Education and Sport, University of São Paulo, Sao Paulo, Brazil
| | - Antonio Herbert Lancha Junior
- Laboratory of Applied Nutrition and Metabolism, School of Physical Education and Sport, University of Sao Paulo, Sao Paulo, Brazil
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van der Zwaard S, van der Laarse WJ, Weide G, Bloemers FW, Hofmijster MJ, Levels K, Noordhof DA, de Koning JJ, de Ruiter CJ, Jaspers RT. Critical determinants of combined sprint and endurance performance: an integrative analysis from muscle fiber to the human body. FASEB J 2018; 32:2110-2123. [PMID: 29217665 DOI: 10.1096/fj.201700827r] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Optimizing physical performance is a major goal in current physiology. However, basic understanding of combining high sprint and endurance performance is currently lacking. This study identifies critical determinants of combined sprint and endurance performance using multiple regression analyses of physiologic determinants at different biologic levels. Cyclists, including 6 international sprint, 8 team pursuit, and 14 road cyclists, completed a Wingate test and 15-km time trial to obtain sprint and endurance performance results, respectively. Performance was normalized to lean body mass2/3 to eliminate the influence of body size. Performance determinants were obtained from whole-body oxygen consumption, blood sampling, knee-extensor maximal force, muscle oxygenation, whole-muscle morphology, and muscle fiber histochemistry of musculus vastus lateralis. Normalized sprint performance was explained by percentage of fast-type fibers and muscle volume ( R2 = 0.65; P < 0.001) and normalized endurance performance by performance oxygen consumption ( V̇o2), mean corpuscular hemoglobin concentration, and muscle oxygenation ( R2 = 0.92; P < 0.001). Combined sprint and endurance performance was explained by gross efficiency, performance V̇o2, and likely by muscle volume and fascicle length ( P = 0.056; P = 0.059). High performance V̇o2 related to a high oxidative capacity, high capillarization × myoglobin, and small physiologic cross-sectional area ( R2 = 0.67; P < 0.001). Results suggest that fascicle length and capillarization are important targets for training to optimize sprint and endurance performance simultaneously.-Van der Zwaard, S., van der Laarse, W. J., Weide, G., Bloemers, F. W., Hofmijster, M. J., Levels, K., Noordhof, D. A., de Koning, J. J., de Ruiter, C. J., Jaspers, R. T. Critical determinants of combined sprint and endurance performance: an integrative analysis from muscle fiber to the human body.
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Affiliation(s)
- Stephan van der Zwaard
- Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit, Amsterdam, The Netherlands.,Laboratory for Myology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam, The Netherlands
| | - Willem J van der Laarse
- Department of Physiology, Institute for Cardiovascular Research, Vrije Universiteit, Amsterdam, The Netherlands; and VU University Medical Center Amsterdam, Amsterdam, The Netherlands
| | - Guido Weide
- Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit, Amsterdam, The Netherlands.,Laboratory for Myology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam, The Netherlands
| | - Frank W Bloemers
- Department of Physiology, Institute for Cardiovascular Research, Vrije Universiteit, Amsterdam, The Netherlands; and
| | - Mathijs J Hofmijster
- Laboratory for Myology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam, The Netherlands
| | - Koen Levels
- Laboratory for Myology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam, The Netherlands
| | - Dionne A Noordhof
- Laboratory for Myology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam, The Netherlands
| | - Jos J de Koning
- Laboratory for Myology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam, The Netherlands
| | - Cornelis J de Ruiter
- Laboratory for Myology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam, The Netherlands
| | - Richard T Jaspers
- Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit, Amsterdam, The Netherlands.,Laboratory for Myology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam, The Netherlands
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Duthie GM, Thornton HR, Delaney JA, McMahon JT, Benton DT. Relationship Between Physical Performance Testing Results and Peak Running Intensity During Professional Rugby League Match Play. J Strength Cond Res 2017; 34:3506-3513. [PMID: 29016482 DOI: 10.1519/jsc.0000000000002273] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Duthie, GM, Thornton, HR, Delaney, JA, McMahon, JT, and Benton, DT. Relationship between physical performance testing results and peak running intensity during professional rugby league match play. J Strength Cond Res 34(12): 3506-3513, 2020-The purpose of this study was to examine the relationship between individual athletes' physical characteristics and both the peak running intensities and the decline in peak running intensities during competition. Twenty-two professional rugby league athletes (age; 24.1 ± 4.0 years, body mass; 101.4 ± 9.5 kg) underwent a series of physical testing procedures. Peak running intensity was determined using a moving average technique, applied to the speed (m·min), acceleration/deceleration (m·s), and metabolic power (W·kg) during competition, across 10 different durations. The power law relationship was then established, yielding an intercept and slope for the movement variables. Mixed linear models were then used to determine the relationship between physical characteristics and intercept and slope values. There were large, positive relationships between a player's maximal speed and both peak running speeds (effect size = 0.56, 90% confidence interval: 0.20-0.78) and metabolic power (0.57, 0.21-0.79) during competition. By contrast, there were large, negative associations between maximal speed and the rate of decline in running speed (-0.60, -0.81 to -0.27) and metabolic power (-0.65, -0.83 to -0.32) during competition. Similarly, there were negative associations between relative squat strength and the rate of decline in running speed (moderate: -0.41, -0.69 to -0.04) and metabolic power (large: -0.53, -0.77 to -0.17) during competition. The findings of this study demonstrate that a players running intensity during competition is underpinned by the individual athletes physiological qualities. Athletes demonstrating higher maximal speeds in testing were able to maintain higher running intensities over short durations but had a greater decrease in running intensity as duration increased.
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Affiliation(s)
- Grant M Duthie
- School of Exercise Science, Australian Catholic University, Strathfield, New South Wales, Australia
| | - Heidi R Thornton
- La Trobe Sport and Exercise Medicine Research Center, La Trobe University, Melbourne, Australia
| | - Jace A Delaney
- Institute of Sport, Exercise and Active Living, Victoria University, Melbourne, Australia
| | - James T McMahon
- Institute of Sport, Exercise and Active Living, Victoria University, Melbourne, Australia.,Melbourne Storm Rugby League Club, Melbourne, Australia; and
| | - Dean T Benton
- Institute of Sport, Exercise and Active Living, Victoria University, Melbourne, Australia.,Atletico, Melbourne, Victoria, Australia
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