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Tóth DM, Szeri F, Ashaber M, Muazu M, Székvölgyi L, Arányi T. Tissue-specific roles of de novo DNA methyltransferases. Epigenetics Chromatin 2025; 18:5. [PMID: 39819598 PMCID: PMC11740433 DOI: 10.1186/s13072-024-00566-2] [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: 09/10/2024] [Accepted: 12/23/2024] [Indexed: 01/19/2025] Open
Abstract
DNA methylation, catalyzed by DNA methyltransferases (DNMT), plays pivotal role in regulating embryonic development, gene expression, adaption to environmental stress, and maintaining genome integrity. DNMT family consists of DNMT1, DNMT3A, DNMT3B, and the enzymatically inactive DNMT3L. DNMT3A and DNMT3B establish novel methylation patterns maintained by DNMT1 during replication. Genetic variants of DNMT3A and DNMT3B cause rare diseases such as Tatton-Brown-Rahman and ICF syndromes. Additionally, somatic mutations cause common conditions such as osteoarthritis, osteoporosis, clonal hematopoiesis of indeterminate potential (CHIP), hematologic malignancies, and cancer. While DNMTs have been extensively studied in vitro, in early development and in disease, their detailed physiologic roles remain less understood as in vivo investigations are hindered by the embryonic or perinatal lethality of the knockout mice. To circumvent this problem, tissue-specific Dnmt3a and Dnmt3b knockouts were engineered. This review explores their diverse molecular roles across various organs and cell types and characterizes the phenotype of the knockout mice. We provide a comprehensive collection of over forty tissue-specific knockout models generated by cre recombinase. We highlight the distinct functions of DNMT3A and DNMT3B in germ cells, early development, uterus, hematopoietic differentiation, musculoskeletal development, visceral organs, and nervous system. Our findings indicate that DNMT3A primarily regulates hematopoietic differentiation, while DNMT3B is crucial for cartilage homeostasis and ossification. We emphasize the context-dependent roles of DNMT3A and DNMT3B and demonstrate that they also complement DNMT1 maintenance methyltransferase activity. Overall, the expression patterns of DNMTs across tissues provide insights into potential therapeutic applications for treating neurologic diseases, cancer, and osteoporosis.
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Affiliation(s)
- Dániel Márton Tóth
- Department of Molecular Biology, Semmelweis University, Budapest, Hungary.
| | - Flóra Szeri
- Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.
| | - Mária Ashaber
- Department of Molecular Biology, Semmelweis University, Budapest, Hungary
| | - Muhyiddeen Muazu
- Department of Molecular Biology, Semmelweis University, Budapest, Hungary
| | - Lóránt Székvölgyi
- Department of Molecular and Nanopharmaceutics, Genome Architecture and Recombination Research Group, Faculty of Pharmacy, MTA-DE Momentum, University of Debrecen, Debrecen, Hungary.
| | - Tamás Arányi
- Department of Molecular Biology, Semmelweis University, Budapest, Hungary.
- Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.
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2
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Lin K, Wei L, Wang R, Li L, Song S, Wang F, He M, Pu W, Wang J, Wazir J, Cao W, Yang X, Treuter E, Fan R, Wang Y, Huang Z, Wang H. Disrupted methionine cycle triggers muscle atrophy in cancer cachexia through epigenetic regulation of REDD1. Cell Metab 2024:S1550-4131(24)00413-3. [PMID: 39729999 DOI: 10.1016/j.cmet.2024.10.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 09/19/2024] [Accepted: 10/19/2024] [Indexed: 12/29/2024]
Abstract
The essential amino acid methionine plays a pivotal role in one-carbon metabolism, facilitating the production of S-adenosylmethionine (SAM), a critical supplier for DNA methylation and thereby a modulator of gene expression. Here, we report that the methionine cycle is disrupted in skeletal muscle during cancer cachexia, leading to endoplasmic reticulum stress and DNA hypomethylation-induced expression of the DNA damage inducible transcript 4 (Ddit4) gene, encoding the regulated in development and DNA damage response 1 (REDD1) protein. Targeting DNA methylation by depletion or pharmacological inhibition of DNA methyltransferase 3A (DNMT3A) exacerbates cachexia, while restoring DNMT3A expression or REDD1 knockout alleviates cancer cachexia-induced skeletal muscle atrophy in mice. Methionine supplementation restores DNA methylation of the Ddit4 promoter in a DNMT3A-dependent manner, thereby inhibiting activating transcription factor 4 (ATF4)-mediated Ddit4 transcription. Thus, with the identification of the methionine/SAM-DNMT3A/DNA hypomethylation-Ddit4/REDD1 axis, our study provides molecular insights into an epigenetic mechanism underlying cancer cachexia, and it suggests nutrient supplementation as a promising therapeutic strategy to prevent or reverse cachectic muscle atrophy.
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Affiliation(s)
- Kai Lin
- State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing 210093, China; Center for Translational Medicine and Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing University, Nanjing 210093, China
| | - Lulu Wei
- State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing 210093, China; Center for Translational Medicine and Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing University, Nanjing 210093, China; Department of Pathology, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an 223399, China
| | - Ranran Wang
- State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing 210093, China; Center for Translational Medicine and Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing University, Nanjing 210093, China
| | - Li Li
- State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing 210093, China; Center for Translational Medicine and Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing University, Nanjing 210093, China
| | - Shiyu Song
- State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing 210093, China; Center for Translational Medicine and Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing University, Nanjing 210093, China; Nanjing Lupine (YuShanDou) Biomedical Research Institute Co. Ltd, Nanjing 210046, China
| | - Fei Wang
- State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing 210093, China; Center for Translational Medicine and Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing University, Nanjing 210093, China
| | - Meiwei He
- State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing 210093, China; Center for Translational Medicine and Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing University, Nanjing 210093, China
| | - Wenyuan Pu
- State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing 210093, China; Center for Translational Medicine and Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing University, Nanjing 210093, China
| | - Jinglin Wang
- Division of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing 210093, Jiangsu, China
| | - Junaid Wazir
- State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing 210093, China; Center for Translational Medicine and Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing University, Nanjing 210093, China
| | - Wangsen Cao
- State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing 210093, China; Center for Translational Medicine and Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing University, Nanjing 210093, China
| | - Xiaozhong Yang
- Department of Gastroenterology, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an 223399, China
| | - Eckardt Treuter
- Department of Medicine Huddinge, Biosciences and Nutrition Unit, Karolinska Institutet, 14183 Huddinge, Sweden
| | - Rongrong Fan
- Department of Medicine Huddinge, Biosciences and Nutrition Unit, Karolinska Institutet, 14183 Huddinge, Sweden
| | - Yongxiang Wang
- Department of Orthopedics, Northern Jiangsu People's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, 98 West Nantong Road, Yangzhou 225001, China.
| | - Zhiqiang Huang
- State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing 210093, China; Center for Translational Medicine and Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing University, Nanjing 210093, China.
| | - Hongwei Wang
- State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing 210093, China; Center for Translational Medicine and Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing University, Nanjing 210093, China.
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3
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Edman S, Jones Iii RG, Jannig PR, Fernandez-Gonzalo R, Norrbom J, Thomas NT, Khadgi S, Koopmans PJ, Morena F, Chambers TL, Peterson CS, Scott LN, Greene NP, Figueiredo VC, Fry CS, Zhengye L, Lanner JT, Wen Y, Alkner B, Murach KA, von Walden F. The 24-hour molecular landscape after exercise in humans reveals MYC is sufficient for muscle growth. EMBO Rep 2024; 25:5810-5837. [PMID: 39482487 PMCID: PMC11624283 DOI: 10.1038/s44319-024-00299-z] [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: 04/19/2024] [Revised: 10/08/2024] [Accepted: 10/16/2024] [Indexed: 11/03/2024] Open
Abstract
A detailed understanding of molecular responses to a hypertrophic stimulus in skeletal muscle leads to therapeutic advances aimed at promoting muscle mass. To decode the molecular factors regulating skeletal muscle mass, we utilized a 24-h time course of human muscle biopsies after a bout of resistance exercise. Our findings indicate: (1) the DNA methylome response at 30 min corresponds to upregulated genes at 3 h, (2) a burst of translation- and transcription-initiation factor-coding transcripts occurs between 3 and 8 h, (3) changes to global protein-coding gene expression peaks at 8 h, (4) ribosome-related genes dominate the mRNA landscape between 8 and 24 h, (5) methylation-regulated MYC is a highly influential transcription factor throughout recovery. To test whether MYC is sufficient for hypertrophy, we periodically pulse MYC in skeletal muscle over 4 weeks. Transient MYC increases muscle mass and fiber size in the soleus of adult mice. We present a temporally resolved resource for understanding molecular adaptations to resistance exercise in muscle ( http://data.myoanalytics.com ) and suggest that controlled MYC doses influence the exercise-related hypertrophic transcriptional landscape.
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Affiliation(s)
- Sebastian Edman
- Division of Pediatric Neurology, Department of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden
| | - Ronald G Jones Iii
- Exercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR, USA
| | - Paulo R Jannig
- Division of Pediatric Neurology, Department of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden
| | - Rodrigo Fernandez-Gonzalo
- Division of Clinical Physiology, Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden
- Unit of Clinical Physiology, Karolinska University Hospital, Huddinge, Sweden
| | - Jessica Norrbom
- Molecular Exercise Physiology Group, Department of Physiology and Pharmacology, Karolinska Institute, Stockholm, Sweden
| | - Nicholas T Thomas
- Center for Muscle Biology, University of Kentucky, Lexington, KY, USA
- Department of Athletic Training and Clinical Nutrition, University of Kentucky, Lexington, KY, USA
| | - Sabin Khadgi
- Exercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR, USA
| | - Pieter J Koopmans
- Exercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR, USA
- Cell and Molecular Biology Graduate Program, University of Arkansas, Fayetteville, AR, USA
| | - Francielly Morena
- Exercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR, USA
| | - Toby L Chambers
- Exercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR, USA
| | - Calvin S Peterson
- Exercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR, USA
| | - Logan N Scott
- Center for Muscle Biology, University of Kentucky, Lexington, KY, USA
- Department of Physiology, University of Kentucky, Lexington, KY, USA
- Division of Biomedical Informatics, Department of Internal Medicine, University of Kentucky, Lexington, KY, USA
| | - Nicholas P Greene
- Exercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR, USA
| | - Vandre C Figueiredo
- Center for Muscle Biology, University of Kentucky, Lexington, KY, USA
- Department of Biological Sciences, Oakland University, Rochester Hills, MI, USA
| | - Christopher S Fry
- Center for Muscle Biology, University of Kentucky, Lexington, KY, USA
- Department of Athletic Training and Clinical Nutrition, University of Kentucky, Lexington, KY, USA
| | - Liu Zhengye
- Molecular Muscle Physiology & Pathophysiology Group, Department of Physiology & Pharmacology, Karolinska Institute, Stockholm, Sweden
| | - Johanna T Lanner
- Molecular Muscle Physiology & Pathophysiology Group, Department of Physiology & Pharmacology, Karolinska Institute, Stockholm, Sweden
| | - Yuan Wen
- Center for Muscle Biology, University of Kentucky, Lexington, KY, USA
- Department of Physiology, University of Kentucky, Lexington, KY, USA
- Division of Biomedical Informatics, Department of Internal Medicine, University of Kentucky, Lexington, KY, USA
| | - Björn Alkner
- Department of Orthopaedic Surgery, Region Jönköping County, Eksjö, Sweden
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Kevin A Murach
- Exercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR, USA.
- Cell and Molecular Biology Graduate Program, University of Arkansas, Fayetteville, AR, USA.
| | - Ferdinand von Walden
- Division of Pediatric Neurology, Department of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden.
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4
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Liang W, Xu F, Li L, Peng C, Sun H, Qiu J, Sun J. Epigenetic control of skeletal muscle atrophy. Cell Mol Biol Lett 2024; 29:99. [PMID: 38978023 PMCID: PMC11229277 DOI: 10.1186/s11658-024-00618-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 06/26/2024] [Indexed: 07/10/2024] Open
Abstract
Skeletal muscular atrophy is a complex disease involving a large number of gene expression regulatory networks and various biological processes. Despite extensive research on this topic, its underlying mechanisms remain elusive, and effective therapeutic approaches are yet to be established. Recent studies have shown that epigenetics play an important role in regulating skeletal muscle atrophy, influencing the expression of numerous genes associated with this condition through the addition or removal of certain chemical modifications at the molecular level. This review article comprehensively summarizes the different types of modifications to DNA, histones, RNA, and their known regulators. We also discuss how epigenetic modifications change during the process of skeletal muscle atrophy, the molecular mechanisms by which epigenetic regulatory proteins control skeletal muscle atrophy, and assess their translational potential. The role of epigenetics on muscle stem cells is also highlighted. In addition, we propose that alternative splicing interacts with epigenetic mechanisms to regulate skeletal muscle mass, offering a novel perspective that enhances our understanding of epigenetic inheritance's role and the regulatory network governing skeletal muscle atrophy. Collectively, advancements in the understanding of epigenetic mechanisms provide invaluable insights into the study of skeletal muscle atrophy. Moreover, this knowledge paves the way for identifying new avenues for the development of more effective therapeutic strategies and pharmaceutical interventions.
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Affiliation(s)
- Wenpeng Liang
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-Innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, 26001, China
- Department of Prenatal Screening and Diagnosis Center, Affiliated Maternity and Child Health Care Hospital of Nantong University, Nantong, 226001, China
| | - Feng Xu
- Department of Endocrinology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, 226001, China
| | - Li Li
- Nantong Center for Disease Control and Prevention, Medical School of Nantong University, Nantong, 226001, China
| | - Chunlei Peng
- Department of Medical Oncology, Tumor Hospital Affiliated to Nantong University, Nantong, 226000, China
| | - Hualin Sun
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-Innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, 26001, China
| | - Jiaying Qiu
- Department of Prenatal Screening and Diagnosis Center, Affiliated Maternity and Child Health Care Hospital of Nantong University, Nantong, 226001, China.
| | - Junjie Sun
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-Innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, 26001, China.
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5
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Edman S, Jones RG, Jannig PR, Fernandez-Gonzalo R, Norrbom J, Thomas NT, Khadgi S, Koopmans PJ, Morena F, Peterson CS, Scott LN, Greene NP, Figueiredo VC, Fry CS, Zhengye L, Lanner JT, Wen Y, Alkner B, Murach KA, von Walden F. The 24-Hour Time Course of Integrated Molecular Responses to Resistance Exercise in Human Skeletal Muscle Implicates MYC as a Hypertrophic Regulator That is Sufficient for Growth. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.26.586857. [PMID: 38586026 PMCID: PMC10996609 DOI: 10.1101/2024.03.26.586857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Molecular control of recovery after exercise in muscle is temporally dynamic. A time course of biopsies around resistance exercise (RE) combined with -omics is necessary to better comprehend the molecular contributions of skeletal muscle adaptation in humans. Vastus lateralis biopsies before and 30 minutes, 3-, 8-, and 24-hours after acute RE were collected. A time-point matched biopsy-only group was also included. RNA-sequencing defined the transcriptome while DNA methylomics and computational approaches complemented these data. The post-RE time course revealed: 1) DNA methylome responses at 30 minutes corresponded to upregulated genes at 3 hours, 2) a burst of translation- and transcription-initiation factor-coding transcripts occurred between 3 and 8 hours, 3) global gene expression peaked at 8 hours, 4) ribosome-related genes dominated the mRNA landscape between 8 and 24 hours, 5) methylation-regulated MYC was a highly influential transcription factor throughout the 24-hour recovery and played a primary role in ribosome-related mRNA levels between 8 and 24 hours. The influence of MYC in human muscle adaptation was strengthened by transcriptome information from acute MYC overexpression in mouse muscle. To test whether MYC was sufficient for hypertrophy, we generated a muscle fiber-specific doxycycline inducible model of pulsatile MYC induction. Periodic 48-hour pulses of MYC over 4 weeks resulted in higher muscle mass and fiber size in the soleus of adult female mice. Collectively, we present a temporally resolved resource for understanding molecular adaptations to RE in muscle and reveal MYC as a regulator of RE-induced mRNA levels and hypertrophy.
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Affiliation(s)
- Sebastian Edman
- Karolinska Institute, Division of Pediatric Neurology, Department of Women’s and Children’s Health, Stockholm, Sweden
| | - Ronald G. Jones
- University of Arkansas, Exercise Science Research Center, Department of Health, Human Performance, and Recreation, Fayetteville, AR, USA
| | - Paulo R. Jannig
- Karolinska Institute, Division of Pediatric Neurology, Department of Women’s and Children’s Health, Stockholm, Sweden
| | - Rodrigo Fernandez-Gonzalo
- Karolinska Institute, Division of Clinical Physiology, Department of Laboratory Medicine, Stockholm, Sweden
- Unit of Clinical Physiology, Karolinska University Hospital, Huddinge, Sweden
| | - Jessica Norrbom
- Karolinska Institute, Molecular Exercise Physiology Group, Department of Physiology and Pharmacology, Stockholm, Sweden
| | - Nicholas T. Thomas
- University of Kentucky, Center for Muscle Biology, Lexington, KY, USA
- University of Kentucky, Department of Athletic Training and Clinical Nutrition, Lexington, KY, USA
| | - Sabin Khadgi
- University of Arkansas, Exercise Science Research Center, Department of Health, Human Performance, and Recreation, Fayetteville, AR, USA
| | - Pieter Jan Koopmans
- University of Arkansas, Exercise Science Research Center, Department of Health, Human Performance, and Recreation, Fayetteville, AR, USA
- University of Arkansas, Cell and Molecular Biology Graduate Program, Fayetteville, AR, USA
| | - Francielly Morena
- University of Arkansas, Exercise Science Research Center, Department of Health, Human Performance, and Recreation, Fayetteville, AR, USA
| | - Calvin S. Peterson
- University of Arkansas, Exercise Science Research Center, Department of Health, Human Performance, and Recreation, Fayetteville, AR, USA
| | - Logan N. Scott
- University of Kentucky, Center for Muscle Biology, Lexington, KY, USA
- University of Kentucky, Department of Physiology, Lexington, KY, USA
- University of Kentucky, Department of Internal Medicine, Division of Biomedical Informatics, Lexington, KY, USA
| | - Nicholas P. Greene
- University of Arkansas, Exercise Science Research Center, Department of Health, Human Performance, and Recreation, Fayetteville, AR, USA
| | - Vandre C. Figueiredo
- University of Kentucky, Center for Muscle Biology, Lexington, KY, USA
- Oakland University, Department of Biological Sciences, Rochester Hills, MI, USA
| | - Christopher S. Fry
- University of Kentucky, Center for Muscle Biology, Lexington, KY, USA
- University of Kentucky, Department of Athletic Training and Clinical Nutrition, Lexington, KY, USA
| | - Liu Zhengye
- Karolinska Institute, Molecular Muscle Physiology & Pathophysiology Group, Department of Physiology & Pharmacology, Stockholm, Sweden
| | - Johanna T. Lanner
- Karolinska Institute, Molecular Muscle Physiology & Pathophysiology Group, Department of Physiology & Pharmacology, Stockholm, Sweden
| | - Yuan Wen
- University of Kentucky, Center for Muscle Biology, Lexington, KY, USA
- University of Kentucky, Department of Physiology, Lexington, KY, USA
- University of Kentucky, Department of Internal Medicine, Division of Biomedical Informatics, Lexington, KY, USA
| | - Björn Alkner
- Department of Orthopedics, Eksjö, Region Jönköping County and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Kevin A. Murach
- University of Arkansas, Exercise Science Research Center, Department of Health, Human Performance, and Recreation, Fayetteville, AR, USA
- University of Arkansas, Cell and Molecular Biology Graduate Program, Fayetteville, AR, USA
| | - Ferdinand von Walden
- Karolinska Institute, Division of Pediatric Neurology, Department of Women’s and Children’s Health, Stockholm, Sweden
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6
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Jones RG, Dimet-Wiley A, Haghani A, da Silva FM, Brightwell CR, Lim S, Khadgi S, Wen Y, Dungan CM, Brooke RT, Greene NP, Peterson CA, McCarthy JJ, Horvath S, Watowich SJ, Fry CS, Murach KA. A molecular signature defining exercise adaptation with ageing and in vivo partial reprogramming in skeletal muscle. J Physiol 2023; 601:763-782. [PMID: 36533424 PMCID: PMC9987218 DOI: 10.1113/jp283836] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022] Open
Abstract
Exercise promotes functional improvements in aged tissues, but the extent to which it simulates partial molecular reprogramming is unknown. Using transcriptome profiling from (1) a skeletal muscle-specific in vivo Oct3/4, Klf4, Sox2 and Myc (OKSM) reprogramming-factor expression murine model; (2) an in vivo inducible muscle-specific Myc induction murine model; (3) a translatable high-volume hypertrophic exercise training approach in aged mice; and (4) human exercise muscle biopsies, we collectively defined exercise-induced genes that are common to partial reprogramming. Late-life exercise training lowered murine DNA methylation age according to several contemporary muscle-specific clocks. A comparison of the murine soleus transcriptome after late-life exercise training to the soleus transcriptome after OKSM induction revealed an overlapping signature that included higher JunB and Sun1. Also, within this signature, downregulation of specific mitochondrial and muscle-enriched genes was conserved in skeletal muscle of long-term exercise-trained humans; among these was muscle-specific Abra/Stars. Myc is the OKSM factor most induced by exercise in muscle and was elevated following exercise training in aged mice. A pulse of MYC rewired the global soleus muscle methylome, and the transcriptome after a MYC pulse partially recapitulated OKSM induction. A common signature also emerged in the murine MYC-controlled and exercise adaptation transcriptomes, including lower muscle-specific Melusin and reactive oxygen species-associated Romo1. With Myc, OKSM and exercise training in mice, as well habitual exercise in humans, the complex I accessory subunit Ndufb11 was lower; low Ndufb11 is linked to longevity in rodents. Collectively, exercise shares similarities with genetic in vivo partial reprogramming. KEY POINTS: Advances in the last decade related to cellular epigenetic reprogramming (e.g. DNA methylome remodelling) toward a pluripotent state via the Yamanaka transcription factors Oct3/4, Klf4, Sox2 and Myc (OKSM) provide a window into potential mechanisms for combatting the deleterious effects of cellular ageing. Using global gene expression analysis, we compared the effects of in vivo OKSM-mediated partial reprogramming in skeletal muscle fibres of mice to the effects of late-life murine exercise training in muscle. Myc is the Yamanaka factor most induced by exercise in skeletal muscle, and so we compared the MYC-controlled transcriptome in muscle to Yamanaka factor-mediated and exercise adaptation mRNA landscapes in mice and humans. A single pulse of MYC is sufficient to remodel the muscle methylome. We identify partial reprogramming-associated genes that are innately altered by exercise training and conserved in humans, and propose that MYC contributes to some of these responses.
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Affiliation(s)
- Ronald G. Jones
- University of Arkansas, Exercise Science Research Center, Department of Health, Human Performance, and Recreation, Fayetteville, AR, USA
| | | | - Amin Haghani
- University of California Los Angeles, Department of Human Genetics, Los Angeles, CA, USA
- Altos Labs, San Diego, CA, USA
| | - Francielly Morena da Silva
- University of Arkansas, Exercise Science Research Center, Department of Health, Human Performance, and Recreation, Fayetteville, AR, USA
- University of Arkansas, Cachexia Research Laboratory, Department of Health, Human Performance, and Recreation, Fayetteville, AR, USA
| | - Camille R. Brightwell
- University of Kentucky Center for Muscle Biology, Lexington, KY, USA
- University of Kentucky, Department of Athletic Training and Clinical Nutrition, Lexington, KY, USA
| | - Seongkyun Lim
- University of Arkansas, Exercise Science Research Center, Department of Health, Human Performance, and Recreation, Fayetteville, AR, USA
- University of Arkansas, Cachexia Research Laboratory, Department of Health, Human Performance, and Recreation, Fayetteville, AR, USA
| | - Sabin Khadgi
- University of Arkansas, Exercise Science Research Center, Department of Health, Human Performance, and Recreation, Fayetteville, AR, USA
| | - Yuan Wen
- University of Kentucky Center for Muscle Biology, Lexington, KY, USA
- University of Kentucky, Department of Physical Therapy, Lexington, KY, USA
| | - Cory M. Dungan
- University of Kentucky Center for Muscle Biology, Lexington, KY, USA
- University of Kentucky, Department of Physical Therapy, Lexington, KY, USA
| | | | - Nicholas P. Greene
- University of Arkansas, Exercise Science Research Center, Department of Health, Human Performance, and Recreation, Fayetteville, AR, USA
- University of Arkansas, Cachexia Research Laboratory, Department of Health, Human Performance, and Recreation, Fayetteville, AR, USA
- University of Arkansas, Cell and Molecular Biology Graduate Program, Fayetteville, AR, USA
| | - Charlotte A. Peterson
- University of Kentucky Center for Muscle Biology, Lexington, KY, USA
- University of Kentucky, Department of Physical Therapy, Lexington, KY, USA
- University of Kentucky, Department of Physiology, Lexington, KY, USA
| | - John J. McCarthy
- Altos Labs, San Diego, CA, USA
- University of Kentucky, Department of Physiology, Lexington, KY, USA
| | - Steve Horvath
- University of California Los Angeles, Department of Human Genetics, Los Angeles, CA, USA
- Altos Labs, San Diego, CA, USA
| | - Stanley J. Watowich
- Ridgeline Therapeutics, Houston, TX, USA
- University of Texas Medical Branch, Department of Biochemistry and Molecular Biology, Galveston, TX, USA
| | - Christopher S. Fry
- University of Kentucky Center for Muscle Biology, Lexington, KY, USA
- University of Kentucky, Department of Athletic Training and Clinical Nutrition, Lexington, KY, USA
| | - Kevin A. Murach
- University of Arkansas, Exercise Science Research Center, Department of Health, Human Performance, and Recreation, Fayetteville, AR, USA
- University of Arkansas, Cell and Molecular Biology Graduate Program, Fayetteville, AR, USA
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Li J, Wang Z, Li C, Song Y, Wang Y, Bo H, Zhang Y. Impact of Exercise and Aging on Mitochondrial Homeostasis in Skeletal Muscle: Roles of ROS and Epigenetics. Cells 2022; 11:cells11132086. [PMID: 35805170 PMCID: PMC9266156 DOI: 10.3390/cells11132086] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 06/22/2022] [Accepted: 06/28/2022] [Indexed: 02/01/2023] Open
Abstract
Aging causes degenerative changes such as epigenetic changes and mitochondrial dysfunction in skeletal muscle. Exercise can upregulate muscle mitochondrial homeostasis and enhance antioxidant capacity and represents an effective treatment to prevent muscle aging. Epigenetic changes such as DNA methylation, histone posttranslational modifications, and microRNA expression are involved in the regulation of exercise-induced adaptive changes in muscle mitochondria. Reactive oxygen species (ROS) play an important role in signaling molecules in exercise-induced muscle mitochondrial health benefits, and strong evidence emphasizes that exercise-induced ROS can regulate gene expression via epigenetic mechanisms. The majority of mitochondrial proteins are imported into mitochondria from the cytosol, so mitochondrial homeostasis is regulated by nuclear epigenetic mechanisms. Exercise can reverse aging-induced changes in myokine expression by modulating epigenetic mechanisms. In this review, we provide an overview of the role of exercise-generated ROS in the regulation of mitochondrial homeostasis mediated by epigenetic mechanisms. In addition, the potential epigenetic mechanisms involved in exercise-induced myokine expression are reviewed.
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Affiliation(s)
- Jialin Li
- Tianjin Key Laboratory of Exercise Physiology and Sports Medicine, Institute of Exercise and Health, Tianjin University of Sport, Tianjin 301617, China; (J.L.); (Z.W.); (C.L.); (Y.S.); (Y.W.)
| | - Zhe Wang
- Tianjin Key Laboratory of Exercise Physiology and Sports Medicine, Institute of Exercise and Health, Tianjin University of Sport, Tianjin 301617, China; (J.L.); (Z.W.); (C.L.); (Y.S.); (Y.W.)
| | - Can Li
- Tianjin Key Laboratory of Exercise Physiology and Sports Medicine, Institute of Exercise and Health, Tianjin University of Sport, Tianjin 301617, China; (J.L.); (Z.W.); (C.L.); (Y.S.); (Y.W.)
| | - Yu Song
- Tianjin Key Laboratory of Exercise Physiology and Sports Medicine, Institute of Exercise and Health, Tianjin University of Sport, Tianjin 301617, China; (J.L.); (Z.W.); (C.L.); (Y.S.); (Y.W.)
| | - Yan Wang
- Tianjin Key Laboratory of Exercise Physiology and Sports Medicine, Institute of Exercise and Health, Tianjin University of Sport, Tianjin 301617, China; (J.L.); (Z.W.); (C.L.); (Y.S.); (Y.W.)
| | - Hai Bo
- Tianjin Key Laboratory of Exercise Physiology and Sports Medicine, Institute of Exercise and Health, Tianjin University of Sport, Tianjin 301617, China; (J.L.); (Z.W.); (C.L.); (Y.S.); (Y.W.)
- Department of Military Training Medicines, Logistics University of Chinese People’s Armed Police Force, Tianjin 300162, China
- Correspondence: (H.B.); (Y.Z.)
| | - Yong Zhang
- Tianjin Key Laboratory of Exercise Physiology and Sports Medicine, Institute of Exercise and Health, Tianjin University of Sport, Tianjin 301617, China; (J.L.); (Z.W.); (C.L.); (Y.S.); (Y.W.)
- Correspondence: (H.B.); (Y.Z.)
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8
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Murach KA, Dimet‐Wiley AL, Wen Y, Brightwell CR, Latham CM, Dungan CM, Fry CS, Watowich SJ. Late-life exercise mitigates skeletal muscle epigenetic aging. Aging Cell 2022; 21:e13527. [PMID: 34932867 PMCID: PMC8761012 DOI: 10.1111/acel.13527] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 11/17/2021] [Accepted: 11/25/2021] [Indexed: 12/18/2022] Open
Abstract
There are functional benefits to exercise in muscle, even when performed late in life, but the contributions of epigenetic factors to late‐life exercise adaptation are poorly defined. Using reduced representation bisulfite sequencing (RRBS), ribosomal DNA (rDNA) and mitochondrial‐specific examination of methylation, targeted high‐resolution methylation analysis, and DNAge™ epigenetic aging clock analysis with a translatable model of voluntary murine endurance/resistance exercise training (progressive weighted wheel running, PoWeR), we provide evidence that exercise may mitigate epigenetic aging in skeletal muscle. Late‐life PoWeR from 22–24 months of age modestly but significantly attenuates an age‐associated shift toward promoter hypermethylation. The epigenetic age of muscle from old mice that PoWeR‐trained for eight weeks was approximately eight weeks younger than 24‐month‐old sedentary counterparts, which represents ~8% of the expected murine lifespan. These data provide a molecular basis for exercise as a therapy to attenuate skeletal muscle aging.
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Affiliation(s)
- Kevin A. Murach
- Molecular Muscle Mass Regulation Laboratory Department of Health, Human Performance, and Recreation Exercise Science Research Center University of Arkansas Fayetteville Arkansas USA
- Cell and Molecular Biology Program University of Arkansas Fayetteville Arkansas USA
- The Center for Muscle Biology University of Kentucky Lexington Kentucky USA
| | - Andrea L. Dimet‐Wiley
- Department of Biochemistry and Molecular Biology University of Texas Medical Branch Galveston Texas USA
| | - Yuan Wen
- The Center for Muscle Biology University of Kentucky Lexington Kentucky USA
- Department of Physiology College of Medicine University of Kentucky Lexington Kentucky USA
| | - Camille R. Brightwell
- The Center for Muscle Biology University of Kentucky Lexington Kentucky USA
- Department of Athletic Training and Clinical Nutrition College of Health Sciences University of Kentucky Lexington Kentucky USA
| | - Christine M. Latham
- The Center for Muscle Biology University of Kentucky Lexington Kentucky USA
- Department of Athletic Training and Clinical Nutrition College of Health Sciences University of Kentucky Lexington Kentucky USA
| | - Cory M. Dungan
- The Center for Muscle Biology University of Kentucky Lexington Kentucky USA
- Department of Physical Therapy College of Health Sciences University of Kentucky Lexington Kentucky USA
| | - Christopher S. Fry
- The Center for Muscle Biology University of Kentucky Lexington Kentucky USA
- Department of Athletic Training and Clinical Nutrition College of Health Sciences University of Kentucky Lexington Kentucky USA
| | - Stanley J. Watowich
- Department of Biochemistry and Molecular Biology University of Texas Medical Branch Galveston Texas USA
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9
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Suhre K, Zaghlool S. Connecting the epigenome, metabolome and proteome for a deeper understanding of disease. J Intern Med 2021; 290:527-548. [PMID: 33904619 DOI: 10.1111/joim.13306] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 03/18/2021] [Accepted: 03/22/2021] [Indexed: 12/26/2022]
Abstract
Epigenome-wide association studies (EWAS) identify genes that are dysregulated by the studied clinical endpoints, thereby indicating potential new diagnostic biomarkers, drug targets and therapy options. Combining EWAS with deep molecular phenotyping, such as approaches enabled by metabolomics and proteomics, allows further probing of the underlying disease-associated pathways. For instance, methylation of the TXNIP gene is associated robustly with prevalent type 2 diabetes and further with metabolites that are short-term markers of glycaemic control. These associations reflect TXNIP's function as a glucose uptake regulator by interaction with the major glucose transporter GLUT1 and suggest that TXNIP methylation can be used as a read-out for the organism's exposure to glucose stress. Another case is the association between DNA methylation of the AHRR and F2RL3 genes with smoking and a protein that is involved in the reprogramming of the bronchial epithelium. These examples show that associations between DNA methylation and intermediate molecular traits can open new windows into how the body copes with physiological challenges. This knowledge, if carefully interpreted, may indicate novel therapy options and, together with monitoring of the methylation state of specific methylation sites, may in the future allow the early diagnosis of impending disease. It is essential for medical practitioners to recognize the potential that this field holds in translating basic research findings to clinical practice. In this review, we present recent advances in the field of EWAS with metabolomics and proteomics and discuss both the potential and the challenges of translating epigenetic associations, with deep molecular phenotypes, to biomedical applications.
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Affiliation(s)
- K Suhre
- From the, Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.,Department of Biophysics and Physiology, Weill Cornell Medicine, New York, USA
| | - S Zaghlool
- From the, Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.,Department of Biophysics and Physiology, Weill Cornell Medicine, New York, USA
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10
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Xu M, Zhu J, Liu XD, Luo MY, Xu NJ. Roles of physical exercise in neurodegeneration: reversal of epigenetic clock. Transl Neurodegener 2021; 10:30. [PMID: 34389067 PMCID: PMC8361623 DOI: 10.1186/s40035-021-00254-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 07/29/2021] [Indexed: 12/17/2022] Open
Abstract
The epigenetic clock is defined by the DNA methylation (DNAm) level and has been extensively applied to distinguish biological age from chronological age. Aging-related neurodegeneration is associated with epigenetic alteration, which determines the status of diseases. In recent years, extensive research has shown that physical exercise (PE) can affect the DNAm level, implying a reversal of the epigenetic clock in neurodegeneration. PE also regulates brain plasticity, neuroinflammation, and molecular signaling cascades associated with epigenetics. This review summarizes the effects of PE on neurodegenerative diseases via both general and disease-specific DNAm mechanisms, and discusses epigenetic modifications that alleviate the pathological symptoms of these diseases. This may lead to probing of the underpinnings of neurodegenerative disorders and provide valuable therapeutic references for cognitive and motor dysfunction.
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Affiliation(s)
- Miao Xu
- Department of Anatomy, Histology and Embryology, Kunming Medical University, Kunming, 650500, China.,Collaborative Innovation Center for Brain Science, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - JiaYi Zhu
- Collaborative Innovation Center for Brain Science, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Xian-Dong Liu
- Collaborative Innovation Center for Brain Science, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.,Department of Neurology and Institute of Neurology, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Ming-Ying Luo
- Department of Anatomy, Histology and Embryology, Kunming Medical University, Kunming, 650500, China
| | - Nan-Jie Xu
- Collaborative Innovation Center for Brain Science, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. .,Shanghai Key Laboratory of Reproductive Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. .,Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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Wen Y, Dungan CM, Mobley CB, Valentino T, von Walden F, Murach KA. Nucleus Type-Specific DNA Methylomics Reveals Epigenetic "Memory" of Prior Adaptation in Skeletal Muscle. FUNCTION (OXFORD, ENGLAND) 2021; 2:zqab038. [PMID: 34870208 PMCID: PMC8636928 DOI: 10.1093/function/zqab038] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 07/28/2021] [Accepted: 08/03/2021] [Indexed: 02/07/2023]
Abstract
Using a mouse model of conditional and inducible in vivo fluorescent myonuclear labeling (HSA-GFP), sorting purification of nuclei, low-input reduced representation bisulfite sequencing (RRBS), and a translatable and reversible model of exercise (progressive weighted wheel running, PoWeR), we provide the first nucleus type-specific epigenetic information on skeletal muscle adaptation and detraining. Adult (>4 mo) HSA-GFP mice performed PoWeR for 8 wk then detrained for 12 wk; age-matched untrained mice were used to control for the long duration of the study. Myonuclei and interstitial nuclei from plantaris muscles were isolated for RRBS. Relative to untrained, PoWeR caused similar myonuclear CpG hypo- and hyper-methylation of promoter regions and substantial hypomethylation in interstitial nuclear promoters. Over-representation analysis of promoters revealed a larger number of hyper- versus hypo-methylated pathways in both nuclear populations after training and evidence for reciprocal regulation of methylation between nucleus types, with hypomethylation of promoter regions in Wnt signaling-related genes in myonuclei and hypermethylation in interstitial nuclei. After 12 wk of detraining, promoter CpGs in documented muscle remodeling-associated genes and pathways that were differentially methylated immediately after PoWeR were persistently differentially methylated in myonuclei, along with long-term promoter hypomethylation in interstitial nuclei. No enduring gene expression changes in muscle tissue were observed using RNA-sequencing. Upon 4 wk of retraining, mice that trained previously grew more at the whole muscle and fiber type-specific cellular level than training naïve mice, with no difference in myonuclear number. Muscle nuclei have a methylation epi-memory of prior training that may augment muscle adaptability to retraining.
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Affiliation(s)
- Yuan Wen
- Department of Physiology, University of Kentucky, Lexington, KY 40508, USA,The Center for Muscle Biology, University of Kentucky, Lexington, KY 40536, USA
| | - Cory M Dungan
- The Center for Muscle Biology, University of Kentucky, Lexington, KY 40536, USA,College of Health Sciences, University of Kentucky, Lexington, KY 40536, USA
| | - C Brooks Mobley
- Department of Physiology, University of Kentucky, Lexington, KY 40508, USA,The Center for Muscle Biology, University of Kentucky, Lexington, KY 40536, USA
| | - Taylor Valentino
- Department of Physiology, University of Kentucky, Lexington, KY 40508, USA,The Center for Muscle Biology, University of Kentucky, Lexington, KY 40536, USA
| | - Ferdinand von Walden
- Division of Pediatric Neurology, Department of Women's and Children's Health, Karolinska Institutet, Stockholm 171 77, Sweden
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