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de Araújo JO, do Nascimento MK, Rebouças ADS, de Medeiros GOC, da Costa Pereira JP, Fayh APT. Differences in muscle composition and functionality: Exploring CT anatomical points and SARC-F components. Nutrition 2024; 128:112564. [PMID: 39317132 DOI: 10.1016/j.nut.2024.112564] [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: 04/26/2024] [Revised: 07/12/2024] [Accepted: 08/14/2024] [Indexed: 09/26/2024]
Abstract
PURPOSE Our study aimed to 1) investigate the differences of muscle parameters in relation to each SARC-F component/question; and 2) explore the relationship between SARC-F score with these muscle parameters using various landmarks derived from computed tomography (CT) scans of patients with cancer. METHODS This study is a cross-sectional analysis of a cohort comprised of consecutive patients with cancer, displaying CT scans. SARC-F questionnaire was utilized as a proxy for muscle functionality, with a score ≥4 indicating a poor status. Muscle assessment via CT measurements was performed using single cross-sectional images at the level of the third lumbar vertebrae (L3) in the abdominal region, the thigh region, and the total gluteal region at the level of the second sacral vertebrae. Skeletal muscle (SM) cross-sectional area, SM index (normalized to height2), and SM radiodensity (SMD) were evaluated for all anatomical landmarks. RESULTS A total of 128 patients were included in this analysis (53.1% females, 61.7% older adults). Patients with SARC-F scores ≥4 demonstrated significantly lower values of SMD across all landmarks assessed. Those reporting difficulties related to strength (P = 0.039), requiring assistance in walking (P = 0.033), and climbing stairs (P = 0.012) exhibited significantly lower SMD values at the L3 landmark. At gluteus and thigh levels, only patients experiencing difficulty climbing stairs (P = 0.012) showed significantly lower values of SMD. Only SMD at gluteus level was independently associated with SARC-F score (βadjusted -0.09, 95% CI -0.16 to -0.02). CONCLUSIONS Our findings suggest that individuals with poor muscle composition may experience a higher risk of sarcopenia/poor muscle functionality.
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Affiliation(s)
- Janaína Oliveira de Araújo
- Postgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil
| | - Maria Karolainy do Nascimento
- Postgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil
| | - Amanda de Sousa Rebouças
- Postgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil
| | | | - Jarson Pedro da Costa Pereira
- Department of Nutrition, Postgraduate Program in Nutrition and Public Health, Federal University of Pernambuco, Recife, PE, Brazil
| | - Ana Paula Trussardi Fayh
- Postgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil; PesqClin Lab, Onofre Lopes University Hospital, Brazilian Company of Hospital Services (EBSERH), Federal University of Rio Grande do Norte, Natal, RN, Brazil.
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Sun R, Wan J, Tang J, Deng Y, Zhang M, Liu C, Li J, Zhang Q. Effectiveness of resistance training on body composition, muscle strength, and biomarker in sarcopenic older adults: A meta-analysis of randomized controlled trials. Arch Gerontol Geriatr 2024; 128:105595. [PMID: 39191151 DOI: 10.1016/j.archger.2024.105595] [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: 06/04/2024] [Revised: 07/20/2024] [Accepted: 07/30/2024] [Indexed: 08/29/2024]
Abstract
This study analyzed 22 randomized controlled trials involving 959 participants to determine the impact of resistance training (RT) on body composition, muscle strength, and biomarkers in sarcopenic older adults. Regarding body composition, RT had a small effect size on relative muscle mass (RMM, SMD = 0.25[0.06,0.45]) and absolute muscle mass (AMM, SMD = 0.28[0.06,0.50]) but no effect on reducing body fat percentage (BF%). Meta-regression analysis pinpointed key predictors (p < 0.05): training period, number of sets, contraction speed, and average age. Subgroup analysis revealed that 3 sets over an 8-12 weeks training period, with slower muscle contraction speed at a 60-70 % 1-repetition maximum (1RM) training intensity, produced the most significant effects on reducing BF% and increasing RMM, respectively. Regarding muscle strength, RT had a large effect size on handgrip strength (HS, SMD = 0.83[0.43,1.23]), knee extension strength (KES, SMD = 0.90[0.50,1.30]), but no effect on chair stand test. Meta-regression analysis pinpointed key predictors (p < 0.05): training intensity, number of sets, body mass index, and sample size. Subgroup analysis revealed that the number of sets ≥ 3 and training intensity >70 % 1RM produced the most significant effect of RT on HS. Regarding biomarkers, RT had a medium effect size on insulin-like growth factor-1 (SMD = 0.70[0.10,1.30]), interleukin-10 (SMD = 0.61[0.09,1.13]), follistatin (SMD = 0.56[0.16,0.96]), but no effect on interleukin-6, tumor necrosis factor-alpha, and myostatin. It concludes that RT is an effective way to improve muscle strength and the level of synthetic hormones and anti-inflammatory factors in sarcopenic older adults, with a slight impact on body composition and no impact on pro-inflammatory factors.
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Affiliation(s)
- Ruiqing Sun
- School of Physical Education, Shanghai University of Sport, Shanghai, China
| | - Jiaqian Wan
- School of Physical Education, Shanghai University of Sport, Shanghai, China
| | - Jiaxing Tang
- School of Physical Education, Shanghai University of Sport, Shanghai, China
| | - Yu Deng
- School of Physical Education, Shanghai University of Sport, Shanghai, China
| | - Meng Zhang
- School of Physical Education, Shanghai University of Sport, Shanghai, China
| | - Chengjiang Liu
- Department of General Medicine, Affiliated Anqing First People's Hospital of Anhui Medical University, China
| | - Jiaqi Li
- Center of Medical, Joyful Retirement Village, Beijing, China
| | - Qingwen Zhang
- School of Physical Education, Shanghai University of Sport, Shanghai, China.
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Kerr HL, Krumm K, Anderson B, Christiani A, Strait L, Li T, Irwin B, Jiang S, Rybachok A, Chen A, Dacek E, Caeiro L, Merrihew GE, MacDonald JW, Bammler TK, MacCoss MJ, Garcia JM. Mouse sarcopenia model reveals sex- and age-specific differences in phenotypic and molecular characteristics. J Clin Invest 2024; 134:e172890. [PMID: 39145448 PMCID: PMC11324300 DOI: 10.1172/jci172890] [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: 07/05/2023] [Accepted: 06/04/2024] [Indexed: 08/16/2024] Open
Abstract
Our study was to characterize sarcopenia in C57BL/6J mice using a clinically relevant definition to investigate the underlying molecular mechanisms. Aged male (23-32 months old) and female (27-28 months old) C57BL/6J mice were classified as non-, probable-, or sarcopenic based on assessments of grip strength, muscle mass, and treadmill running time, using 2 SDs below the mean of their young counterparts as cutoff points. A 9%-22% prevalence of sarcopenia was identified in 23-26 month-old male mice, with more severe age-related declines in muscle function than mass. Females aged 27-28 months showed fewer sarcopenic but more probable cases compared with the males. As sarcopenia progressed, a decrease in muscle contractility and a trend toward lower type IIB fiber size were observed in males. Mitochondrial biogenesis, oxidative capacity, and AMPK-autophagy signaling decreased as sarcopenia progressed in males, with pathways linked to mitochondrial metabolism positively correlated with muscle mass. No age- or sarcopenia-related changes were observed in mitochondrial biogenesis, OXPHOS complexes, AMPK signaling, mitophagy, or atrogenes in females. Our results highlight the different trajectories of age-related declines in muscle mass and function, providing insights into sex-dependent molecular changes associated with sarcopenia progression, which may inform the future development of novel therapeutic interventions.
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Affiliation(s)
- Haiming L. Kerr
- Geriatric Research, Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Kora Krumm
- Geriatric Research, Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Barbara Anderson
- Geriatric Research, Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Anthony Christiani
- Geriatric Research, Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Lena Strait
- Geriatric Research, Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Theresa Li
- Geriatric Research, Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Brynn Irwin
- Geriatric Research, Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Siyi Jiang
- Geriatric Research, Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Artur Rybachok
- Geriatric Research, Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Amanda Chen
- Geriatric Research, Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Elizabeth Dacek
- Geriatric Research, Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Lucas Caeiro
- Geriatric Research, Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | | | - James W. MacDonald
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
| | - Theo K. Bammler
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
| | | | - Jose M. Garcia
- Geriatric Research, Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
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Wang M, Yang Z, Zhai H. Association of High-Density Lipoprotein Cholesterol with Sarcopenia in Chinese Community-Dwelling Middle-Aged and Older Adults: Evidence from 4-Year Longitudinal Study. Gerontology 2024; 70:812-822. [PMID: 38679016 DOI: 10.1159/000538980] [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: 01/04/2024] [Accepted: 04/15/2024] [Indexed: 05/01/2024] Open
Abstract
INTRODUCTION There is inconsistent evidence on the associations between high-density lipoprotein cholesterol (HDL-C) and risk of sarcopenia. The aim of the study was to determine the evidence existing between HDL-C and sarcopenia in Chinese middle-aged and older adults. METHODS We used a panel study design of the China Health and Retirement Longitudinal Study (CHARLS), with 7,415 participants (mean age 57.5 years) from 2011, 2013, and 2015. HDL-C was measured by colorimetric test of venous serum samples. Sarcopenia was defined as low muscle mass, plus low muscle strength, or low physical performance. Muscle mass was estimated by anthropometric measures. Muscle strength was measured by handgrip strength using dynamometer. Physical performance was measured by 5-time chair stand test, gait speed test, and short physical performance battery. RESULTS With 961 (13.0%) sarcopenia cases, each 1-unit increase (1 SD = 15.4 mg/dL) of HDL-C levels was associated with 42% increased odds of incident sarcopenia (OR = 1.42, 95% confidence interval [CI] = 1.28-1.58) at 4-year follow-up. Females with high HDL-C levels (HDL-C >60 mg/dL) had a higher risk of sarcopenia (OR = 2.49, 95% CI = 1.76-3.52). The restricted cubic spline curves showed a J-shaped association between HDL-C and risk of sarcopenia in females. HDL-C was negatively associated with muscle mass (β = -0.23, 95% CI = -0.27 to -0.20) and hand grip strength (β = -0.05, 95% CI = -0.19 to 0.09). CONCLUSION High HDL-C levels were associated with higher risk of sarcopenia among middle-aged and older Chinese adults, and appropriate control of its high levels informs the management of sarcopenia.
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Affiliation(s)
- Meng Wang
- School of Nursing/Southern Medical University, Guangzhou, China
| | - Zihan Yang
- School of Nursing/Southern Medical University, Guangzhou, China
| | - Huimin Zhai
- School of Nursing/Southern Medical University, Guangzhou, China
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Ladang A, Beaudart C, Reginster JY, Al-Daghri N, Bruyère O, Burlet N, Cesari M, Cherubini A, da Silva MC, Cooper C, Cruz-Jentoft AJ, Landi F, Laslop A, Maggi S, Mobasheri A, Ormarsdottir S, Radermecker R, Visser M, Yerro MCP, Rizzoli R, Cavalier E. Biochemical Markers of Musculoskeletal Health and Aging to be Assessed in Clinical Trials of Drugs Aiming at the Treatment of Sarcopenia: Consensus Paper from an Expert Group Meeting Organized by the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) and the Centre Académique de Recherche et d'Expérimentation en Santé (CARES SPRL), Under the Auspices of the World Health Organization Collaborating Center for the Epidemiology of Musculoskeletal Conditions and Aging. Calcif Tissue Int 2023; 112:197-217. [PMID: 36633611 PMCID: PMC9859913 DOI: 10.1007/s00223-022-01054-z] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 12/18/2022] [Indexed: 01/13/2023]
Abstract
In clinical trials, biochemical markers provide useful information on the drug's mode of action, therapeutic response and side effect monitoring and can act as surrogate endpoints. In pharmacological intervention development for sarcopenia management, there is an urgent need to identify biomarkers to measure in clinical trials and that could be used in the future in clinical practice. The objective of the current consensus paper is to provide a clear list of biochemical markers of musculoskeletal health and aging that can be recommended to be measured in Phase II and Phase III clinical trials evaluating new chemical entities for sarcopenia treatment. A working group of the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) proposed classifying biochemical markers into 2 series: biochemical markers evaluating musculoskeletal status and biochemical markers evaluating causal factors. For series 1, the group agreed on 4 biochemical markers that should be assessed in Phase II or Phase III trials (i.e., Myostatin-Follistatin, Brain Derived Neurotrophic Factor, N-terminal Type III Procollagen and Serum Creatinine to Serum Cystatin C Ratio - or the Sarcopenia Index). For series 2, the group agreed on 6 biochemical markers that should be assessed in Phase II trials (i.e., the hormones insulin-like growth factor-1 (IGF-I), dehydroepiandrosterone sulphate, and cortisol, and the inflammatory markers C-reactive protein (CRP), interleukin-6 and tumor necrosis factor-α), and 2 in Phase III trials (i.e., IGF-I and CRP). The group also proposed optional biochemical markers that may provide insights into the mode of action of pharmacological therapies. Further research and development of new methods for biochemical marker assays may lead to the evolution of these recommendations.
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Affiliation(s)
- Aurélie Ladang
- Department of Clinical Chemistry, CHU de Liège, University of Liège, Liège, Belgium.
| | - Charlotte Beaudart
- Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Center for Public Health Aspects of Musculo-Skeletal Health and Ageing,, University of Liège, Liège, Belgium
| | - Jean-Yves Reginster
- Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Center for Public Health Aspects of Musculo-Skeletal Health and Ageing,, University of Liège, Liège, Belgium
- Biochemistry Department, College of Science, Chair for Biomarkers of Chronic Diseases, King Saud University, Riyadh, 11451, Saudi Arabia
| | - Nasser Al-Daghri
- Biochemistry Department, College of Science, Chair for Biomarkers of Chronic Diseases, King Saud University, Riyadh, 11451, Saudi Arabia
| | - Olivier Bruyère
- Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Center for Public Health Aspects of Musculo-Skeletal Health and Ageing,, University of Liège, Liège, Belgium
| | - Nansa Burlet
- Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Center for Public Health Aspects of Musculo-Skeletal Health and Ageing,, University of Liège, Liège, Belgium
| | - Matteo Cesari
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
- Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Antonio Cherubini
- Geriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, Milan, Italy
| | | | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | | | - Francesco Landi
- Department of Geriatrics, Neurosciences and Orthopedics, Catholic University of the Sacred Heart, Rome, Italy
| | - Andrea Laslop
- Scientific Office, Federal Office for Safety in Health Care, Vienna, Austria
| | | | - Ali Mobasheri
- Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Center for Public Health Aspects of Musculo-Skeletal Health and Ageing,, University of Liège, Liège, Belgium
- State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
- Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Joint Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | | | - Régis Radermecker
- Department of Diabetes, Nutrition and Metabolic Disorders, Clinical Pharmacology, University of Liege, CHU de Liège, Liège, Belgium
| | - Marjolein Visser
- Department of Health Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | | | - René Rizzoli
- Faculty of Medicine, Service of Bone Diseases, Geneva University Hospitals, Geneva, Switzerland
| | - Etienne Cavalier
- Department of Clinical Chemistry, CHU de Liège, University of Liège, Liège, Belgium
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Kostka J, Sosowska N, Guligowska A, Kostka T. A Proposed Method of Converting Gait Speed and TUG Test in Older Subjects. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12145. [PMID: 36231451 PMCID: PMC9564782 DOI: 10.3390/ijerph191912145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/18/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
Sarcopenia is one of the most important health problems in advanced age. In 2019, the European Working Group of Sarcopenia in Older People (EWGSOP) updated the operational diagnostic criteria for identification of people with sarcopenia (EWGSOP2). Among the two proposed low performance measures of sarcopenia are gait speed and the Timed Up and Go (TUG) test. Usage of any of those tools requires recalculation for the second one for eventual comparisons. The simple linear regression has been used for such comparisons in several previous studies, but the appropriateness of such an approach has not been verified. The aim of this study is to find the most appropriate model describing the relationship between these two popular measures of physical function. The study was performed in 450 consecutive outpatients of the Geriatric Clinic of the Medical University of Lodz, Poland, aged 70 to 92 years who volunteered to participate in the study. The TUG test and gait speed at 4 m to assess physical function were used. Different alternative models were compared to obtain the highest R-squared values. A Reciprocal-Y model (R-squared = 71.9%) showed the highest performance, followed by a Logarithmic-Y square root-X model (R-squared = 69.3%) and a Reciprocal-Y square root-X model (R-squared = 69.1%). The R-squared for the linear model was 49.5%. For the selected reciprocal model, the correlation coefficient was 0.85 and the equation of the fitted model was: Gait speed (m/s) = 1/(-0.0160767 + 0.101386 × TUG). In conclusion, in independent community-dwelling older adults, the relationship between gait speed and the TUG test in older subjects is nonlinear. The proposed reciprocal model may be useful for recalculations of gait speed or TUG in future studies.
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Affiliation(s)
- Joanna Kostka
- Department of Gerontology, Medical University of Lodz, Milionowa 14, 93-113 Lodz, Poland
| | - Natalia Sosowska
- Department of Geriatrics, Healthy Ageing Research Centre, Medical University of Lodz, Hallera 1, 90-647 Lodz, Poland
| | - Agnieszka Guligowska
- Department of Geriatrics, Healthy Ageing Research Centre, Medical University of Lodz, Hallera 1, 90-647 Lodz, Poland
| | - Tomasz Kostka
- Department of Geriatrics, Healthy Ageing Research Centre, Medical University of Lodz, Hallera 1, 90-647 Lodz, Poland
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Zoladz JA, Majerczak J, Galganski L, Grandys M, Zapart-Bukowska J, Kuczek P, Kołodziejski L, Walkowicz L, Szymoniak-Chochół D, Kilarski W, Jarmuszkiewicz W. Endurance Training Increases the Running Performance of Untrained Men without Changing the Mitochondrial Volume Density in the Gastrocnemius Muscle. Int J Mol Sci 2022; 23:ijms231810843. [PMID: 36142755 PMCID: PMC9503714 DOI: 10.3390/ijms231810843] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 09/15/2022] [Accepted: 09/15/2022] [Indexed: 11/16/2022] Open
Abstract
The activity and quantity of mitochondrial proteins and the mitochondrial volume density (MitoVD) are higher in trained muscles; however, the underlying mechanisms remain unclear. Our goal was to determine if 20 weeks’ endurance training simultaneously increases running performance, the amount and activity of mitochondrial proteins, and MitoVD in the gastrocnemius muscle in humans. Eight healthy, untrained young men completed a 20-week moderate-intensity running training program. The training increased the mean speed of a 1500 m run by 14.0% (p = 0.008) and the running speed at 85% of maximal heart rate by 9.6% (p = 0.008). In the gastrocnemius muscle, training significantly increased mitochondrial dynamics markers, i.e., peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α) by 23%, mitochondrial transcription factor A (TFAM) by 29%, optic artrophy-1 (OPA1) by 31% and mitochondrial fission factor (MFF) by 44%, and voltage-dependent anion channel 1 (VDAC1) by 30%. Furthermore, training increased the amount and maximal activity of citrate synthase (CS) by 10% and 65%, respectively, and the amount and maximal activity of cytochrome c oxidase (COX) by 57% and 42%, respectively, but had no effect on the total MitoVD in the gastrocnemius muscle. We concluded that not MitoVD per se, but mitochondrial COX activity (reflecting oxidative phosphorylation activity), should be regarded as a biomarker of muscle adaptation to endurance training in beginner runners.
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Affiliation(s)
- Jerzy A. Zoladz
- Chair of Exercise Physiology and Muscle Bioenergetics, Faculty of Health Sciences, Jagiellonian University Medical College, Skawinska 8, 31-066 Krakow, Poland
- Correspondence:
| | - Joanna Majerczak
- Chair of Exercise Physiology and Muscle Bioenergetics, Faculty of Health Sciences, Jagiellonian University Medical College, Skawinska 8, 31-066 Krakow, Poland
| | - Lukasz Galganski
- Laboratory of Mitochondrial Biochemistry, Department of Bioenergetics, Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 6, 61-614 Poznan, Poland
| | - Marcin Grandys
- Chair of Exercise Physiology and Muscle Bioenergetics, Faculty of Health Sciences, Jagiellonian University Medical College, Skawinska 8, 31-066 Krakow, Poland
| | - Justyna Zapart-Bukowska
- Chair of Exercise Physiology and Muscle Bioenergetics, Faculty of Health Sciences, Jagiellonian University Medical College, Skawinska 8, 31-066 Krakow, Poland
| | - Piotr Kuczek
- Department of Physical Education, Faculty of Health Sciences, University of Applied Sciences in Tarnow, Mickiewicza 8, 33-110 Tarnow, Poland
| | - Leszek Kołodziejski
- Department of Nursing, Faculty of Health Sciences, University of Applied Sciences in Tarnow, Mickiewicza 8, 33-110 Tarnow, Poland
| | - Lucyna Walkowicz
- Chair of Exercise Physiology and Muscle Bioenergetics, Faculty of Health Sciences, Jagiellonian University Medical College, Skawinska 8, 31-066 Krakow, Poland
| | | | | | - Wieslawa Jarmuszkiewicz
- Laboratory of Mitochondrial Biochemistry, Department of Bioenergetics, Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 6, 61-614 Poznan, Poland
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