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Ma J, Pang X, Laher I, Li S. Bioinformatics Analysis Identifies Key Genes in the Effect of Resistance Training on Female Skeletal Muscle Aging. J Aging Phys Act 2024:1-10. [PMID: 38684216 DOI: 10.1123/japa.2023-0178] [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: 05/22/2023] [Revised: 11/24/2023] [Accepted: 02/21/2024] [Indexed: 05/02/2024]
Abstract
Resistance training is used to combat skeletal muscle function decline in older adults. Few studies have been designed specific for females, resulting in very limited treatment options for skeletal muscle atrophy in aging women. Here, we analyzed the gene expression profiles of skeletal muscle samples from sedentary young women, sedentary older women, and resistance-trained older women, using microarray data from public database. A total of 45 genes that were differentially expressed during female muscle aging and reversed by resistance training were identified. Functional and pathway enrichment analysis, protein-protein interaction network analysis, and receiver operating characteristic analysis were performed to reveal the key genes and pathways involved in the effects of resistance training on female muscle aging. The collagen genes COL1A1, COL3A1, and COL4A1 were identified important regulators of female muscle aging and resistance training, by modulating multiple signaling pathways, such as PI3 kinase-Akt signaling, focal adhesions, extracellular matrix-receptor interactions, and relaxin signaling. Interestingly, the expression of CDKN1A and TP63 were increased during aging, and further upregulated by resistance training in older women, suggesting they may negatively affect resistance training outcomes. Our findings provide novel insights into the molecular mechanisms of resistance training on female muscle aging and identify potential biomarkers and targets for clinical intervention.
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Affiliation(s)
- Jiacheng Ma
- Institute of Sports Medicine and Health, Chengdu Sport University, Chengdu, SC, China
| | - Xiaoli Pang
- Institute of Sports Medicine and Health, Chengdu Sport University, Chengdu, SC, China
| | - Ismail Laher
- Department of Anesthesiology, Pharmacology and Therapeutics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Shunchang Li
- Institute of Sports Medicine and Health, Chengdu Sport University, Chengdu, SC, China
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Beiter T, Zügel M, Hudemann J, Schild M, Fragasso A, Burgstahler C, Krüger K, Mooren FC, Steinacker JM, Nieß AM. The Acute, Short-, and Long-Term Effects of Endurance Exercise on Skeletal Muscle Transcriptome Profiles. Int J Mol Sci 2024; 25:2881. [PMID: 38474128 DOI: 10.3390/ijms25052881] [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: 01/31/2024] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 03/14/2024] Open
Abstract
A better understanding of the cellular and molecular mechanisms that are involved in skeletal muscle adaptation to exercise is fundamentally important to take full advantage of the enormous benefits that exercise training offers in disease prevention and therapy. The aim of this study was to elucidate the transcriptional signatures that distinguish the endurance-trained and untrained muscles in young adult males (24 ± 3.5 years). We characterized baseline differences as well as acute exercise-induced transcriptome responses in vastus lateralis biopsy specimens of endurance-trained athletes (ET; n = 8; VO2max, 67.2 ± 8.9 mL/min/kg) and sedentary healthy volunteers (SED; n = 8; VO2max, 40.3 ± 7.6 mL/min/kg) using microarray technology. A second cohort of SED volunteers (SED-T; n = 10) followed an 8-week endurance training program to assess expression changes of selected marker genes in the course of skeletal muscle adaptation. We deciphered differential baseline signatures that reflected major differences in the oxidative and metabolic capacity of the endurance-trained and untrained muscles. SED-T individuals in the training group displayed an up-regulation of nodal regulators of oxidative adaptation after 3 weeks of training and a significant shift toward the ET signature after 8 weeks. Transcriptome changes provoked by 1 h of intense cycling exercise only poorly overlapped with the genes that constituted the differential baseline signature of ETs and SEDs. Overall, acute exercise-induced transcriptional responses were connected to pathways of contractile, oxidative, and inflammatory stress and revealed a complex and highly regulated framework of interwoven signaling cascades to cope with exercise-provoked homeostatic challenges. While temporal transcriptional programs that were activated in SEDs and ETs were quite similar, the quantitative divergence in the acute response transcriptomes implicated divergent kinetics of gene induction and repression following an acute bout of exercise. Together, our results provide an extensive examination of the transcriptional framework that underlies skeletal muscle plasticity.
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Affiliation(s)
- Thomas Beiter
- Department of Sports Medicine, Medical Clinic, Eberhard-Karls-University of Tübingen, 72076 Tübingen, Germany
| | - Martina Zügel
- Department of Sport and Rehabilitation Medicine, University of Ulm, 89075 Ulm, Germany
| | - Jens Hudemann
- Department of Sports Medicine, Medical Clinic, Eberhard-Karls-University of Tübingen, 72076 Tübingen, Germany
| | - Marius Schild
- Department of Exercise Physiology and Sports Therapy, University of Gießen, 35394 Gießen, Germany
| | - Annunziata Fragasso
- Department of Sports Medicine, Medical Clinic, Eberhard-Karls-University of Tübingen, 72076 Tübingen, Germany
| | - Christof Burgstahler
- Department of Sports Medicine, Medical Clinic, Eberhard-Karls-University of Tübingen, 72076 Tübingen, Germany
| | - Karsten Krüger
- Department of Exercise Physiology and Sports Therapy, University of Gießen, 35394 Gießen, Germany
| | - Frank C Mooren
- Department of Medicine, Faculty of Health, University of Witten/Herdecke, 58455 Witten, Germany
| | - Jürgen M Steinacker
- Department of Sport and Rehabilitation Medicine, University of Ulm, 89075 Ulm, Germany
| | - Andreas M Nieß
- Department of Sports Medicine, Medical Clinic, Eberhard-Karls-University of Tübingen, 72076 Tübingen, Germany
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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 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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Emanuelsson EB, Arif M, Reitzner SM, Perez S, Lindholm ME, Mardinoglu A, Daub C, Sundberg CJ, Chapman MA. Remodeling of the human skeletal muscle proteome found after long-term endurance training but not after strength training. iScience 2024; 27:108638. [PMID: 38213622 PMCID: PMC10783619 DOI: 10.1016/j.isci.2023.108638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 11/09/2023] [Accepted: 12/01/2023] [Indexed: 01/13/2024] Open
Abstract
Exercise training has tremendous systemic tissue-specific health benefits, but the molecular adaptations to long-term exercise training are not completely understood. We investigated the skeletal muscle proteome of highly endurance-trained, strength-trained, and untrained individuals and performed exercise- and sex-specific analyses. Of the 6,000+ proteins identified, >650 were differentially expressed in endurance-trained individuals compared with controls. Strikingly, 92% of the shared proteins with higher expression in both the male and female endurance groups were known mitochondrial. In contrast to the findings in endurance-trained individuals, minimal differences were found in strength-trained individuals and between females and males. Lastly, a co-expression network and comparative literature analysis revealed key proteins and pathways related to the health benefits of exercise, which were primarily related to differences in mitochondrial proteins. This network is available as an interactive database resource where investigators can correlate clinical data with global gene and protein expression data for hypothesis generation.
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Affiliation(s)
- Eric B. Emanuelsson
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Muhammad Arif
- Science for Life Laboratory, KTH – Royal Institute of Technology, 171 77 Stockholm, Sweden
| | - Stefan M. Reitzner
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden
- Department of Women’s and Children’s Health, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Sean Perez
- Department of Biology, Pomona College, Claremont, CA 91711, USA
| | - Maléne E. Lindholm
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Adil Mardinoglu
- Science for Life Laboratory, KTH – Royal Institute of Technology, 171 77 Stockholm, Sweden
- Centre for Host–Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King’s College London, London WC2R 2LS, UK
| | - Carsten Daub
- Department of Biosciences and Nutrition, Karolinska Institutet, 171 77 Stockholm, Sweden
- Science for Life Laboratory, 171 65 Solna, Sweden
| | - Carl Johan Sundberg
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden
- Department of Laboratory Medicine, Karolinska Institutet, 141 52 Huddinge, Sweden
- Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Mark A. Chapman
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden
- Department of Integrated Engineering, University of San Diego, San Diego, CA 92110, USA
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Muniz-Santos R, Magno-França A, Jurisica I, Cameron LC. From Microcosm to Macrocosm: The -Omics, Multiomics, and Sportomics Approaches in Exercise and Sports. OMICS : A JOURNAL OF INTEGRATIVE BIOLOGY 2023; 27:499-518. [PMID: 37943554 DOI: 10.1089/omi.2023.0169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2023]
Abstract
This article explores the progressive integration of -omics methods, including genomics, metabolomics, and proteomics, into sports research, highlighting the development of the concept of "sportomics." We discuss how sportomics can be used to comprehend the multilevel metabolism during exercise in real-life conditions faced by athletes, enabling potential personalized interventions to improve performance and recovery and reduce injuries, all with a minimally invasive approach and reduced time. Sportomics may also support highly personalized investigations, including the implementation of n-of-1 clinical trials and the curation of extensive datasets through long-term follow-up of athletes, enabling tailored interventions for athletes based on their unique physiological responses to different conditions. Beyond its immediate sport-related applications, we delve into the potential of utilizing the sportomics approach to translate Big Data regarding top-level athletes into studying different human diseases, especially with nontargeted analysis. Furthermore, we present how the amalgamation of bioinformatics, artificial intelligence, and integrative computational analysis aids in investigating biochemical pathways, and facilitates the search for various biomarkers. We also highlight how sportomics can offer relevant information about doping control analysis. Overall, sportomics offers a comprehensive approach providing novel insights into human metabolism during metabolic stress, leveraging cutting-edge systems science techniques and technologies.
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Affiliation(s)
- Renan Muniz-Santos
- Laboratory of Protein Biochemistry, The Federal University of the State of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Alexandre Magno-França
- Laboratory of Protein Biochemistry, The Federal University of the State of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Igor Jurisica
- Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute and Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, University Health Network, Toronto, Canada
- Departments of Medical Biophysics and Computer Science, and Faculty of Dentistry, University of Toronto, Toronto, Ontario, Canada
- Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovakia
| | - L C Cameron
- Laboratory of Protein Biochemistry, The Federal University of the State of Rio de Janeiro, Rio de Janeiro, Brazil
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Stokes T, Cen HH, Kapranov P, Gallagher IJ, Pitsillides AA, Volmar C, Kraus WE, Johnson JD, Phillips SM, Wahlestedt C, Timmons JA. Transcriptomics for Clinical and Experimental Biology Research: Hang on a Seq. ADVANCED GENETICS (HOBOKEN, N.J.) 2023; 4:2200024. [PMID: 37288167 PMCID: PMC10242409 DOI: 10.1002/ggn2.202200024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Indexed: 06/09/2023]
Abstract
Sequencing the human genome empowers translational medicine, facilitating transcriptome-wide molecular diagnosis, pathway biology, and drug repositioning. Initially, microarrays are used to study the bulk transcriptome; but now short-read RNA sequencing (RNA-seq) predominates. Positioned as a superior technology, that makes the discovery of novel transcripts routine, most RNA-seq analyses are in fact modeled on the known transcriptome. Limitations of the RNA-seq methodology have emerged, while the design of, and the analysis strategies applied to, arrays have matured. An equitable comparison between these technologies is provided, highlighting advantages that modern arrays hold over RNA-seq. Array protocols more accurately quantify constitutively expressed protein coding genes across tissue replicates, and are more reliable for studying lower expressed genes. Arrays reveal long noncoding RNAs (lncRNA) are neither sparsely nor lower expressed than protein coding genes. Heterogeneous coverage of constitutively expressed genes observed with RNA-seq, undermines the validity and reproducibility of pathway analyses. The factors driving these observations, many of which are relevant to long-read or single-cell sequencing are discussed. As proposed herein, a reappreciation of bulk transcriptomic methods is required, including wider use of the modern high-density array data-to urgently revise existing anatomical RNA reference atlases and assist with more accurate study of lncRNAs.
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Affiliation(s)
- Tanner Stokes
- Faculty of ScienceMcMaster UniversityHamiltonL8S 4L8Canada
| | - Haoning Howard Cen
- Life Sciences InstituteUniversity of British ColumbiaVancouverV6T 1Z3Canada
| | | | - Iain J Gallagher
- School of Applied SciencesEdinburgh Napier UniversityEdinburghEH11 4BNUK
| | | | | | | | - James D. Johnson
- Life Sciences InstituteUniversity of British ColumbiaVancouverV6T 1Z3Canada
| | | | | | - James A. Timmons
- Miller School of MedicineUniversity of MiamiMiamiFL33136USA
- William Harvey Research InstituteQueen Mary University LondonLondonEC1M 6BQUK
- Augur Precision Medicine LTDStirlingFK9 5NFUK
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7
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Hinkley JM, Yu G, Standley RA, Distefano G, Tolstikov V, Narain NR, Greenwood BP, Karmacharya S, Kiebish MA, Carnero EA, Yi F, Vega RB, Goodpaster BH, Gardell SJ, Coen PM. Exercise and ageing impact the kynurenine/tryptophan pathway and acylcarnitine metabolite pools in skeletal muscle of older adults. J Physiol 2023; 601:2165-2188. [PMID: 36814134 PMCID: PMC10278663 DOI: 10.1113/jp284142] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 02/14/2023] [Indexed: 02/24/2023] Open
Abstract
Exercise-induced perturbation of skeletal muscle metabolites is a probable mediator of long-term health benefits in older adults. Although specific metabolites have been identified to be impacted by age, physical activity and exercise, the depth of coverage of the muscle metabolome is still limited. Here, we investigated resting and exercise-induced metabolite distribution in muscle from well-phenotyped older adults who were active or sedentary, and a group of active young adults. Percutaneous biopsies of the vastus lateralis were obtained before, immediately after and 3 h following a bout of endurance cycling. Metabolite profile in muscle biopsies was determined by tandem mass spectrometry. Mitochondrial energetics in permeabilized fibre bundles was assessed by high resolution respirometry and fibre type proportion was assessed by immunohistology. We found that metabolites of the kynurenine/tryptophan pathway were impacted by age and activity. Specifically, kynurenine was elevated in muscle from older adults, whereas downstream metabolites of kynurenine (kynurenic acid and NAD+ ) were elevated in muscle from active adults and associated with cardiorespiratory fitness and muscle oxidative capacity. Acylcarnitines, a potential marker of impaired metabolic health, were elevated in muscle from physically active participants. Surprisingly, despite baseline group difference, acute exercise-induced alterations in whole-body substrate utilization, as well as muscle acylcarnitines and ketone bodies, were remarkably similar between groups. Our data identified novel muscle metabolite signatures that associate with the healthy ageing phenotype provoked by physical activity and reveal that the metabolic responsiveness of muscle to acute endurance exercise is retained [NB]:AUTHOR: Please ensure that the appropriate material has been provide for Table S2, as well as for Figures S1 to S7, as also cited in the text with age regardless of activity levels. KEY POINTS: Kynurenine/tryptophan pathway metabolites were impacted by age and physical activity in human muscle, with kynurenine elevated in older muscle, whereas downstream products kynurenic acid and NAD+ were elevated in exercise-trained muscle regardless of age. Acylcarnitines, a marker of impaired metabolic health when heightened in circulation, were elevated in exercise-trained muscle of young and older adults, suggesting that muscle act as a metabolic sink to reduce the circulating acylcarnitines observed with unhealthy ageing. Despite the phenotypic differences, the exercise-induced response of various muscle metabolite pools, including acylcarnitine and ketone bodies, was similar amongst the groups, suggesting that older adults can achieve the metabolic benefits of exercise seen in young counterparts.
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Affiliation(s)
- J. Matthew Hinkley
- AdventHealth Translational Research Institute, AdventHealth Orlando, Orlando, FL, 32804, USA
| | - GongXin Yu
- AdventHealth Translational Research Institute, AdventHealth Orlando, Orlando, FL, 32804, USA
| | - Robert A. Standley
- AdventHealth Translational Research Institute, AdventHealth Orlando, Orlando, FL, 32804, USA
| | - Giovanna Distefano
- AdventHealth Translational Research Institute, AdventHealth Orlando, Orlando, FL, 32804, USA
| | | | | | | | | | | | - Elvis Alvarez Carnero
- AdventHealth Translational Research Institute, AdventHealth Orlando, Orlando, FL, 32804, USA
| | - Fanchao Yi
- AdventHealth Translational Research Institute, AdventHealth Orlando, Orlando, FL, 32804, USA
| | - Rick B. Vega
- AdventHealth Translational Research Institute, AdventHealth Orlando, Orlando, FL, 32804, USA
| | - Bret H. Goodpaster
- AdventHealth Translational Research Institute, AdventHealth Orlando, Orlando, FL, 32804, USA
| | - Stephen J. Gardell
- AdventHealth Translational Research Institute, AdventHealth Orlando, Orlando, FL, 32804, USA
| | - Paul M. Coen
- AdventHealth Translational Research Institute, AdventHealth Orlando, Orlando, FL, 32804, USA
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8
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Lavin KM, Graham ZA, McAdam JS, O'Bryan SM, Drummer D, Bell MB, Kelley CJ, Lixandrão ME, Peoples B, Tuggle SC, Seay RS, Van Keuren-Jensen K, Huentelman MJ, Pirrotte P, Reiman R, Alsop E, Hutchins E, Antone J, Bonfitto A, Meechoovet B, Palade J, Talboom JS, Sullivan A, Aban I, Peri K, Broderick TJ, Bamman MM. Dynamic transcriptomic responses to divergent acute exercise stimuli in young adults. Physiol Genomics 2023; 55:194-212. [PMID: 36939205 PMCID: PMC10110731 DOI: 10.1152/physiolgenomics.00144.2022] [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: 09/19/2022] [Revised: 02/08/2023] [Accepted: 03/06/2023] [Indexed: 03/21/2023] Open
Abstract
Acute exercise elicits dynamic transcriptional changes that, when repeated, form the fundamental basis of health, resilience, and performance adaptations. While moderate-intensity endurance training combined with conventional resistance training (traditional, TRAD) is often prescribed and recommended by public health guidance, high-intensity training combining maximal-effort intervals with intensive, limited-rest resistance training is a time-efficient alternative that may be used tactically (HITT) to confer similar benefits. Mechanisms of action of these distinct stimuli are incompletely characterized and have not been directly compared. We assessed transcriptome-wide responses in skeletal muscle and circulating extracellular vesicles (EVs) to a single exercise bout in young adults randomized to TRAD (n = 21, 12 M/9 F, 22 ± 3 yr) or HITT (n = 19, 11 M/8 F, 22 ± 2 yr). Next-generation sequencing captured small, long, and circular RNA in muscle and EVs. Analysis identified differentially expressed transcripts (|log2FC|>1, FDR ≤ 0.05) immediately (h0, EVs only), h3, and h24 postexercise within and between exercise protocols. In aaddition, all apparently responsive transcripts (FDR < 0.2) underwent singular value decomposition to summarize data structures into latent variables (LVs) to deconvolve molecular expression circuits and interregulatory relationships. LVs were compared across time and exercise protocol. TRAD, a longer but less intense stimulus, generally elicited a stronger transcriptional response than HITT, but considerable overlap and key differences existed. Findings reveal shared and unique molecular responses to the exercise stimuli and lay groundwork toward establishing relationships between protein-coding genes and lesser-understood transcripts that serve regulatory roles following exercise. Future work should advance the understanding of these circuits and whether they repeat in other populations or following other types of exercise/stress.NEW & NOTEWORTHY We examined small and long transcriptomics in skeletal muscle and serum-derived extracellular vesicles before and after a single exposure to traditional combined exercise (TRAD) and high-intensity tactical training (HITT). Across 40 young adults, we found more consistent protein-coding gene responses to TRAD, whereas HITT elicited differential expression of microRNA enriched in brain regions. Follow-up analysis revealed relationships and temporal dynamics across transcript networks, highlighting potential avenues for research into mechanisms of exercise response and adaptation.
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Affiliation(s)
- Kaleen M Lavin
- Healthspan, Resilience, and Performance, Florida Institute for Human and Machine Cognition, Pensacola, Florida, United States
- UAB Center for Exercise Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States
- Department of Cell, Developmental, and Integrative Biology, The University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Zachary A Graham
- Healthspan, Resilience, and Performance, Florida Institute for Human and Machine Cognition, Pensacola, Florida, United States
- UAB Center for Exercise Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States
- Department of Cell, Developmental, and Integrative Biology, The University of Alabama at Birmingham, Birmingham, Alabama, United States
- Birmingham Veterans Affairs Medical Center, Birmingham, Alabama, United States
| | - Jeremy S McAdam
- Healthspan, Resilience, and Performance, Florida Institute for Human and Machine Cognition, Pensacola, Florida, United States
- UAB Center for Exercise Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States
- Department of Cell, Developmental, and Integrative Biology, The University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Samia M O'Bryan
- UAB Center for Exercise Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States
- Department of Cell, Developmental, and Integrative Biology, The University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Devin Drummer
- UAB Center for Exercise Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States
- Department of Cell, Developmental, and Integrative Biology, The University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Margaret B Bell
- UAB Center for Exercise Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States
- Department of Cell, Developmental, and Integrative Biology, The University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Christian J Kelley
- UAB Center for Exercise Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States
- Department of Cell, Developmental, and Integrative Biology, The University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Manoel E Lixandrão
- UAB Center for Exercise Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States
- Department of Cell, Developmental, and Integrative Biology, The University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Brandon Peoples
- UAB Center for Exercise Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - S Craig Tuggle
- Healthspan, Resilience, and Performance, Florida Institute for Human and Machine Cognition, Pensacola, Florida, United States
- UAB Center for Exercise Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Regina S Seay
- UAB Center for Exercise Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States
- Department of Cell, Developmental, and Integrative Biology, The University of Alabama at Birmingham, Birmingham, Alabama, United States
| | | | - Matthew J Huentelman
- Cancer & Cell Biology, Translational Genomics Research Institute, Phoenix, Arizona, United States
| | - Patrick Pirrotte
- Cancer & Cell Biology, Translational Genomics Research Institute, Phoenix, Arizona, United States
- Integrated Mass Spectrometry Shared Resource, City of Hope Comprehensive Cancer Center, Duarte, California, United States
| | - Rebecca Reiman
- Cancer & Cell Biology, Translational Genomics Research Institute, Phoenix, Arizona, United States
| | - Eric Alsop
- Cancer & Cell Biology, Translational Genomics Research Institute, Phoenix, Arizona, United States
| | - Elizabeth Hutchins
- Cancer & Cell Biology, Translational Genomics Research Institute, Phoenix, Arizona, United States
| | - Jerry Antone
- Cancer & Cell Biology, Translational Genomics Research Institute, Phoenix, Arizona, United States
| | - Anna Bonfitto
- Cancer & Cell Biology, Translational Genomics Research Institute, Phoenix, Arizona, United States
| | - Bessie Meechoovet
- Cancer & Cell Biology, Translational Genomics Research Institute, Phoenix, Arizona, United States
| | - Joanna Palade
- Cancer & Cell Biology, Translational Genomics Research Institute, Phoenix, Arizona, United States
| | - Joshua S Talboom
- Cancer & Cell Biology, Translational Genomics Research Institute, Phoenix, Arizona, United States
| | - Amber Sullivan
- UAB Center for Exercise Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Inmaculada Aban
- Department of Biostatistics, The University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Kalyani Peri
- Department of Biostatistics, The University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Timothy J Broderick
- Healthspan, Resilience, and Performance, Florida Institute for Human and Machine Cognition, Pensacola, Florida, United States
| | - Marcas M Bamman
- Healthspan, Resilience, and Performance, Florida Institute for Human and Machine Cognition, Pensacola, Florida, United States
- UAB Center for Exercise Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States
- Department of Cell, Developmental, and Integrative Biology, The University of Alabama at Birmingham, Birmingham, Alabama, United States
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Drummer DJ, Lavin KM, Graham ZA, O'Bryan SM, McAdam JS, Lixandrão ME, Seay R, Aban I, Siegel HJ, Ghanem E, Singh JA, Bonfitto A, Antone J, Reiman R, Hutchins E, Van Keuren-Jensen K, Schutzler SE, Barnes CL, Ferrando AA, Bridges SL, Bamman MM. Muscle transcriptomic circuits linked to periarticular physiology in end-stage osteoarthritis. Physiol Genomics 2022; 54:501-513. [PMID: 36278270 PMCID: PMC9762959 DOI: 10.1152/physiolgenomics.00092.2022] [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: 06/10/2022] [Revised: 09/08/2022] [Accepted: 10/20/2022] [Indexed: 02/01/2023] Open
Abstract
The ability of individuals with end-stage osteoarthritis (OA) to functionally recover from total joint arthroplasty is highly inconsistent. The molecular mechanisms driving this heterogeneity have yet to be elucidated. Furthermore, OA disproportionately impacts females, suggesting a need for identifying female-specific therapeutic targets. We profiled the skeletal muscle transcriptome in females with end-stage OA (n = 20) undergoing total knee or hip arthroplasty using RNA-Seq. Single-gene differential expression (DE) analyses tested for DE genes between skeletal muscle overlaying the surgical (SX) joint and muscle from the contralateral (CTRL) leg. Network analyses were performed using Pathway-Level Information ExtractoR (PLIER) to summarize genes into latent variables (LVs), i.e., gene circuits, and link them to biological pathways. LV differences in SX versus CTRL muscle and across sources of muscle tissue (vastus medialis, vastus lateralis, or tensor fascia latae) were determined with ANOVA. Linear models tested for associations between LVs and muscle phenotype on the SX side (inflammation, function, and integrity). DE analysis revealed 360 DE genes (|Log2 fold-difference| ≥ 1, FDR ≤ 0.05) between the SX and CTRL limbs, many associated with inflammation and lipid metabolism. PLIER analyses revealed circuits associated with protein degradation and fibro-adipogenic cell gene expression. Muscle inflammation and function were linked to an LV associated with endothelial cell gene expression highlighting a potential regulatory role of endothelial cells within skeletal muscle. These findings may provide insight into potential therapeutic targets to improve OA rehabilitation before and/or following total joint replacement.
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Affiliation(s)
- Devin J Drummer
- UAB Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, Alabama
- Department of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Kaleen M Lavin
- UAB Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, Alabama
- Department of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama
- Florida Institute for Human and Machine Cognition, Pensacola, Florida
| | - Zachary A Graham
- UAB Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, Alabama
- Department of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama
- Florida Institute for Human and Machine Cognition, Pensacola, Florida
- Birmingham VA Medical Center, Birmingham, Alabama
| | - Samia M O'Bryan
- UAB Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, Alabama
- Department of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Jeremy S McAdam
- UAB Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, Alabama
- Department of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama
- Florida Institute for Human and Machine Cognition, Pensacola, Florida
| | - Manoel E Lixandrão
- UAB Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, Alabama
- Department of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado
| | - Regina Seay
- UAB Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Inmaculada Aban
- UAB Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, Alabama
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama
| | - Herrick J Siegel
- UAB Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, Alabama
- Department of Orthopaedic Surgery, University of Alabama at Birmingham, Birmingham, Alabama
| | - Elie Ghanem
- UAB Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, Alabama
- Department of Orthopaedic Surgery, University of Alabama at Birmingham, Birmingham, Alabama
| | - Jasvinder A Singh
- UAB Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, Alabama
- Birmingham VA Medical Center, Birmingham, Alabama
- Division of Clinical Immunology and Rheumatology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
- Comprehensive Arthritis, Musculoskeletal, Bone, and Autoimmunity Center, University of Alabama at Birmingham, Birmingham, Alabama
| | - Anna Bonfitto
- Division of Neurogenomics, The Translational Genomics Research Institute, Phoenix, Arizona
| | - Jerry Antone
- Division of Neurogenomics, The Translational Genomics Research Institute, Phoenix, Arizona
| | - Rebecca Reiman
- Division of Neurogenomics, The Translational Genomics Research Institute, Phoenix, Arizona
| | - Elizabeth Hutchins
- Division of Neurogenomics, The Translational Genomics Research Institute, Phoenix, Arizona
| | | | - Scott E Schutzler
- Department of Geriatrics and Center for Translational Research in Aging and Longevity, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - C Lowry Barnes
- Department of Orthopaedic Surgery, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Arny A Ferrando
- Department of Geriatrics and Center for Translational Research in Aging and Longevity, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - S Louis Bridges
- Department of Medicine, Hospital for Special Surgery, New York, New York
- Division of Rheumatology, Weill Cornell Medical Center, New York, New York
| | - Marcas M Bamman
- UAB Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, Alabama
- Department of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama
- Florida Institute for Human and Machine Cognition, Pensacola, Florida
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Epigenetic regulation of aging: implications for interventions of aging and diseases. Signal Transduct Target Ther 2022; 7:374. [PMID: 36336680 PMCID: PMC9637765 DOI: 10.1038/s41392-022-01211-8] [Citation(s) in RCA: 100] [Impact Index Per Article: 50.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/14/2022] [Accepted: 09/28/2022] [Indexed: 11/09/2022] Open
Abstract
Aging is accompanied by the decline of organismal functions and a series of prominent hallmarks, including genetic and epigenetic alterations. These aging-associated epigenetic changes include DNA methylation, histone modification, chromatin remodeling, non-coding RNA (ncRNA) regulation, and RNA modification, all of which participate in the regulation of the aging process, and hence contribute to aging-related diseases. Therefore, understanding the epigenetic mechanisms in aging will provide new avenues to develop strategies to delay aging. Indeed, aging interventions based on manipulating epigenetic mechanisms have led to the alleviation of aging or the extension of the lifespan in animal models. Small molecule-based therapies and reprogramming strategies that enable epigenetic rejuvenation have been developed for ameliorating or reversing aging-related conditions. In addition, adopting health-promoting activities, such as caloric restriction, exercise, and calibrating circadian rhythm, has been demonstrated to delay aging. Furthermore, various clinical trials for aging intervention are ongoing, providing more evidence of the safety and efficacy of these therapies. Here, we review recent work on the epigenetic regulation of aging and outline the advances in intervention strategies for aging and age-associated diseases. A better understanding of the critical roles of epigenetics in the aging process will lead to more clinical advances in the prevention of human aging and therapy of aging-related diseases.
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