1. Introduction
“Muscle memory” is commonly used in daily life to refer to the ability to remember specific movements and exercise them unconsciously. For example, people say riding bicycles is a type of muscle memory. Studies have found another type of muscle memory, which is related to the ability of skeletal muscle to respond differently to the stimuli if it is encountered before [1,2]. For example, fitness enthusiasts may find out that their strength can be quickly restored even after a period of training suspension because their previous training is memorized by their muscles. Though the two types of muscle memory share some similarities by both emphasizing the ability to exist for a long time and can be reawakened easily, it has to be clear that the two phenomena are regulated by distinct biological systems. Riding a bicycle is more like neurological motor learning, while muscle strength restoration is related to complicated changes to muscle cells. To be more precise, some researchers suggest using the term "skeletal muscle memory" to describe the muscle's restoration ability [2,3].
The forming mechanism of skeletal muscle memory, however, is not intuitive, and there are still arguments for the exact reasons. Inspection of similar activities in the human body may provide inspiration for understanding skeletal muscle memory. For example, it is already known that the memory in the immune system, where the second encounter with the same pathogen triggers a more rapid and intense immune response, is caused by irreversible changes in the genes of lymphocytes and inheritable methylation of DNA [4]. Therefore, it is reasonable to hypothesize that permeabilized epigenetic and cellular changes may also cause skeletal muscle memory.
This article will summarize the hypotheses of the forming mechanisms of skeletal muscle memory by reviewing the studies on muscle memory and its related applications. The implications of the research on forming mechanisms will also be discussed at the end of the review. It is expected that the understanding of skeletal muscle memory may inspire new ideas in anti-aging therapies and many other fields. In addition, the limitations of current studies and future perspectives will be discussed in the article. This review may help researchers to have a clear big picture and find promising research directions.
2. Myonuclear theory
Human skeletal muscle cells have multiple nuclei, each nuclear controlling a cytoplasm domain, known as the myonuclear domain [5,6]. In a skeletal muscle memory process, skeletal muscles grow in mass and strength after resistance training, which is called hypertrophy and has been discovered and proven by experiments [6,7]. During the second training, muscle size is expected to be restored more rapidly. Therefore, understanding the reason for muscle growth in response to the environment is the key to understanding skeletal muscle memory. Nevertheless, the reason for hypertrophy was not clearly illustrated. If the muscle strength and size were to change in response to training, the myonuclear domain, or the number of myonuclei, would have to increase. It was once believed that the size of the myonuclear domain is constant due to the limited DNA content of nuclear and other reasons [8,9]. This idea could lead to speculation that the change in muscle size is caused by the increase in nuclei.
2.1 Experimental evidence of myonuclear increase
Past studies started with researching the adaptive growth of muscle. In Rutherford and Jones’ study, the human participants were asked to do weight-lift training, and the weight-lifting during the test was recorded to increase as the experiment continued. The researchers attributed this to a better coordination of all muscles involved in the weight-lifting movement [10]. Since the research was not conducted on the level of a single muscle group, the study proved muscle growth but was not that helpful in understanding the mechanism of muscle growth. Recent studies have shown additional evidence by examining a single muscle group after the removal of its synergist muscles. In addition to recording the changes in muscle size, Bruusgaard et al. observed the increase of muscle nuclei in the extensor digitorum longus of mice happening before the hypertrophy. After 14 days of overloading, the number of myonuclei increased by 37%, which is 3 days earlier than the increase in cross-sectional area. Importantly, the number of myonuclei did not significantly decrease during the following 14 days of denervation, which suggests that the myonucleus may be the main carrying entity of skeletal muscle memory [11]. The results were also supported by similar studies, where muscle overloading is caused by steroids instead of resistance training [12]. Not only is the myonucleus increase related to hypertrophy, but the cause-and-effect relation between myonucleus increase and hypertrophy was also proved in other studies by inhibiting myonuclear accumulation and the following decreased hypertrophy [13-15]. These studies suggest that the increase in myonuclei during the loading process and the maintenance of nuclei can partly explain skeletal muscle memory. Meanwhile, they also prove that the nuclear domain is not a constant in cells. During the denervation period in the experiment of Bruusgaard et al., the myonuclei acquired before did not degenerate, while the muscle size decreased. This proved the idea of a consistent myonuclear domain wrong. Instead, the myonuclear domain is variable within a specific limit, where a nuclear has control over the cytoplasm.
2.2 The role of satellite cells and the Notch pathway
Satellite cells, which are skeletal muscle stem cells resting between the basal lamina and the plasma membrane, are believed to be responsible for the increase in myonuclei [16,17]. Under specific conditions, such as muscle injury, the satellite cells will be activated and self-renew, and the new cells then fuse with injured muscle fibers to repair them. The repairing process may be under the regulation of the Notch pathway, which was first discussed as a mutation-related gene in Drosophila melanogaster [18]. Previously, the Notch pathway has been found to be responsible for many developmental events, such as the development of hematopoietic and lymphoid systems [19,20]. It has been found that the Notch pathway also plays an important role in satellite cell quiescence and proliferation. Note that the fusion of satellite cells and muscle cells is a key process in myonuclear increase. Experiments have shown that the blocked Notch pathway leads to defective muscle regeneration ability and dystrophy [21-23]. By the same principle, the reactivation of the Notch pathway in the Duchenne muscular dystrophy model mouse and aged mouse restores the ability of satellite cells to self-renew [22,24]. Therefore, it is hoped that activating the Notch pathway may be a new approach to treating muscle aging and sarcopenia because of its ability to rehabilitate myonuclei and strengthen muscle mass.
2.3 Controversy and research limitations
However, there are still arguments around the myonuclear theory. Murach et al. doubted the maintenance of myonuclei during detraining [25]. They analyzed the experimental results from the study of Psilander et al., where the increase in myonuclei was not observed during the second training, and muscle strength was also not restored [26]. As the article indicates, the discrepancy with myonuclear theory cannot fundamentally challenge the myonuclear hypothesis because the myonuclear number did not increase significantly at the first training. The result may be affected by heterogeneity between individuals, and it leads to another point worth noticing: The study of Psilander et al. was done on human participants, while the myonuclear theory, though first observed in humans, is explored and studied in animals to a great extent. The discrepancy in this study alerts us that the difference between animal models and humans is undeniable. Anyhow, more studies on humans are expected to get consistent results. How long the increased myonuclei can be kept in the muscle remains undetermined. Theoretically, the myonuclei gained from resistance training will be kept for quite a long time. Some studies, however, showed that the number of myonuclei is less in old people (70-86 years old) than in the young (under 69 years old), mainly for type II muscle fiber [27]. In addition, it is found in the elderly that training-induced hypertrophy is weakened, and the deficit in the proliferation function of muscular satellite cells is suspected to be the reason [15,28,29]. These indicate that myonuclei may decrease after a period, though it is unclear how long exactly it will take.
3. Epigenetic theory
Despite the efforts in physiological explanations, researchers have noticed the evidence at the genetic level. Epigenetics was originally proposed and discussed in embryology, where it describes the changes in the phenotype by modifying gene expression rather than altering the genetic code in response to external stimuli [30]. The causes of epigenetic changes are often external factors, such as environment and diet. DNA methylation is one of the main ways epigenetics influences phenotypes. It is commonly believed that CpG sites, which are DNA sequences rich in cytosine and guanine nucleotides, are often locations where methylation happens [31,32]. The idea of epigenetics makes it easy to think of how muscle hypertrophy is induced by training. It can be proposed that training, as an environmental factor, may change muscle size through epigenetic mechanisms.
3.1 Evidence and the PI3K/Akt pathway
Seaborne et al. first reported the epigenetic change in humans during the training, detraining, and retraining process [33]. In their experiment, eight male participants finished one acute resistance training session, then loading, unloading, and reloading, each lasting for 7 weeks. The muscle size and overall hypomethylation level are in line with the skeletal muscle memory hypothesis. During loading and unloading, the number of hypomethylated CpG sites is greater than that of hypermethylated sites. The muscle size and strength increased during loading and then decreased somewhat during unloading. During the reloading process, however, the genes undergo a significant hypomethylation event. The muscle size and strength also increased rapidly and reached a higher level than during the loading process. Interestingly, the major pathway under influence is the PI3K/Akt pathway. It has been reported to be related to cell growth and reproduction. For example, the PI3K/Akt pathway is involved in the positive regulation of cell proliferation through growth-factor-receptor tyrosine kinases, which are also expected to be the target of novel cancer therapy [34]. This suggests that epigenetics may take effect by stimulating muscle cell growth and that the epigenetic hypothesis is not opposite to the myonuclear hypothesis. However, whether myonuclear or cytoplasm is increased remains unknown. Indeed, the increase in muscle size is mainly contributed to by the fusion of satellite cell nuclei. Nevertheless, as mentioned before, the myonuclear domain is variable within a limit. Whether the myonuclear domain is also enlarged along with the increase in nuclei needs further study.
3.2 The genetic basis of skeletal muscle memory
Moreover, Seaborne et al. classified the whole DNA genome based on methylation events in different experimental stages. Two clusters of genes were of particular interest: One of them, including RPL35a, C12orf50, BICC1, ZFP2, UBR5, HEG1, PLA2G16, SETD3, and ODF2 genes, remained hypomethylated throughout the loading, unloading, and reloading process. As a consequence, its expression level kept increasing. The other cluster, including AXIN1, GRIK2, CAMK4, TRAF1, NR2F6 and RSU1, was consistent with the muscle mass change. It was hypomethylated while the muscle mass increased and hypermethylated while the muscle mass decreased. Seaborne et al. deduce that the cluster that remained hypomethylated is responsible for memorizing the previous resistance training by epigenetic downregulation, while the other cluster regulates load-induced skeletal muscle growth. The two clusters work together to realize skeletal muscle memory. In another work, researchers also proved that epigenetic changes can be memorized [35]. The male human participants took short-term high-fat and normal diets. Biopsies of their muscle indicated that 6508 genes had been influenced, and the methylation of these genes was not restored to the original level after 6-8 weeks. These studies show that epigenetic change could be the carrier of skeletal muscle memory and can be kept for the long term.
3.3 Limitations of current studies
There are many unanswered questions in epigenetic memory. For example, there is an inconsistency between the methylation patterns of genes. In the study of Seaborne et al., the two clusters of genes were observed and behaved distinctly [33]. One of the clusters was found to be only hypermethylated during the loading process and maintained hypomethylated during other processes. The other cluster was only hypermethylated during the unloading and reloading process. The behaviors of these clusters are not consistent with muscle size and strength. More importantly, they show that the methylation pattern during loading was not reproduced during reloading, which is contrary to the epigenetic skeletal muscle memory hypothesis. Though the two clusters may be responsible for other metabolic activities contributing to skeletal muscle memory, their distinct behavior needs to be further clarified.
In addition, the cluster that kept hypomethylated throughout the loading, unloading, and reloading process is expected to memorize the previous training. Its expression level kept increasing during the whole experiment. Such behavior may cause a heavy burden on the cell, investing too much energy and materials into skeletal muscle memory. The issue of expression burden is a common problem in synthetic biology, which means exogenous genes share limited resources with endogenous genes. Therefore, the expression and translation function of endogenous genes are influenced, leading to abnormal cell behavior [36]. In terms of skeletal muscle memory, the cluster of genes that are kept expressing could cause similar problems, especially in skeletal muscle cells, where energy is expensive [37]. The discovery of the over-expression gene reminds us that skeletal muscle memory is a balanced result between energy and function. It may also have significant values in evolution.
It is suggested that histone modification, another major epigenetic modification, also plays a part in skeletal muscle memory. McGee et al. reported that the acetylation level of histone 3 lysine 36 (H3K36) in human participants was significantly increased after 60 minutes of cycling [38]. The acetylation of H3 is a typical modification in epigenetics, and a study like this proves that epigenetics forms skeletal muscle memory with both DNA methylation and histone acetylation.
4. Discussion
In addition to the theories mentioned above, the possible role of irreversible feedback regulation in the formation of skeletal muscle memory may be worth attention. An irreversible feedback regulation is common in biological development and can be established by positive feedback. For example, if a substrate can promote its own modification after being modified, then the substrate and its modifying enzyme can form positive feedback [39,40]. It has been proved that positive feedback is irreversible once activated, as if the activation of the circle had been memorized [39]. The idea is consistent with skeletal muscle memory, and positive feedback pathways may be involved during its formation. Though it is also suggested that muscle growth in size and strength is induced by refined innervation of cells, the theory is not well explained in the article. Moreover, the detailed function of specific genes and pathways has also not been thoroughly explained in the article for illustration purposes.
Exploring the enigma of skeletal muscle memory could be beneficial in the medical treatment of aging. Statistics have estimated that over 22% of the global population will be over 60 years old by 2050, making aging a serious issue in the near future [41]. Sarcopenia refers to a disease common in older people, which is marked by the loss of muscle mass and function. It is also associated with other health problems, such as fractures, falls, and functional decline [42]. Currently, there are no effective drugs and therapies for sarcopenia, and skeletal muscle memory could be a promising aspect. Clinical practice often suggests exercising as a non-drug therapy. However, old and disabled patients usually have difficulties in doing physical activities [43]. Understanding the formation of skeletal muscle memory might help us directly rejuvenate the muscle cells by activating specific pathways or genes. It is also hoped that revoking the skeletal muscle memory the patients gained in previous training will help muscle restoration.
5. Conclusion
In summary, this article aims to review the main hypotheses of the formation of skeletal muscle memory. The myonuclear hypothesis proposes that physiological change, namely, myonuclear increase, is the reason for muscle strength and size growth. Epigenetic theory provides additional views on the mechanisms of skeletal muscle memory. Moreover, it has been found that the methylation of certain genes and the acetylation of histone H3 may contribute to skeletal muscle memory. The discrepancy among studies has been mentioned in the article, which leads to future research directions and reminds us of those missing points.
This review can be refined by statistical analysis of current studies, which gives a more comprehensive view of the big picture. Further work can also be done by exploring the related pathways and pointing out possible therapeutic target sites. It is expected that a deeper understanding of skeletal muscle memory will pave the way to the novel treatment of aging.
References
[1]. Gundersen, K. (2016). Muscle memory and a new cellular model for muscle atrophy and hypertrophy. Journal of Experimental Biology, 219(2), 235-242. https: //doi.org/10.1242/jeb.124495
[2]. Sharples, A. P., & Turner, D. C. (2023). Skeletal muscle memory. American Journal of Physiology-Cell Physiology, 324(6), C1274-C1294. https: //doi.org/10.1152/ajpcell.00099.2023
[3]. Sharples, A. P., Stewart, C. E., & Seaborne, R. A. (2016). Does skeletal muscle have an ‘epi’‐memory? The role of epigenetics in nutritional programming, metabolic disease, aging and exercise. Aging Cell, 15(4), 603-616. https: //doi.org/10.1111/acel.12486
[4]. Natoli, G., & Ostuni, R. (2019). Adaptation and memory in immune responses. Nature Immunology, 20(7), 783-792. https: //doi.org/10.1038/s41590-019-0399-9
[5]. Cheek, D. B., Holt, A. B., Hill, D. E., & Talbert, J. L. (1971). Skeletal muscle cell mass and growth: The concept of the deoxyribonucleic acid unit. Pediatric Research, 5(7), 312-328. https: //doi.org/10.1203/00006450-197107000-00004
[6]. Allen, D. L., Roy, R. R., & Edgerton, V. R. (1999). Myonuclear domains in muscle adaptation and disease. Muscle & Nerve, 22(10), 1350-1360. https: //doi.org/10.1002/(SICI)1097-4598(199910)22: 10< 1350: : AID-MUS3> 3.0.CO; 2-8
[7]. Schoenfeld, B. J. (2010). The mechanisms of muscle hypertrophy and their application to resistance training. Journal of Strength and Conditioning Research, 24(10), 2857-2872. https: //doi.org/10.1519/JSC.0b013e3181e840f3
[8]. Qaisar, R., & Larsson, L. (2014). What determines myonuclear domain size? Indian Journal of Physiology and Pharmacology, 58, 1-12. https: //pubmed.ncbi.nlm.nih.gov/25464670/
[9]. Gregory, T. R. (2001). Coincidence, coevolution, or causation? DNA content, cellsize, and the C-value enigma. Biological Reviews. https: //doi.org/10.1111/j.1469-185X.2000.tb00059.x
[10]. Rutherford, O. M., & Jones, D. A. (1986). The role of learning and coordination in strength training. European Journal of Applied Physiology and Occupational Physiology, 55(1), 100-105. https: //doi.org/10.1007/BF00422902
[11]. Bruusgaard, J. C., Johansen, I. B., Egner, I. M., Rana, Z. A., & Gundersen, K. (2010). Myonuclei acquired by overload exercise precede hypertrophy and are not lost on detraining. Proceedings of the National Academy of Sciences, 107(34), 15111–15116. https: //doi.org/10.1073/pnas.0913935107
[12]. Egner, I. M., Bruusgaard, J. C., Eftestøl, E., & Gundersen, K. (2013). A cellular memory mechanism aids overload hypertrophy in muscle long after an episodic exposure to anabolic steroids. The Journal of Physiology, 591(24), 6221-6230. https: //doi.org/10.1113/jphysiol.2013.264457
[13]. Goh, Q., Song, T., Petrany, M. J., Cramer, A. A., Sun, C., Sadayappan, S., Lee, S.-J., & Millay, D. P. (2019). Myonuclear accretion is a determinant of exercise-induced remodeling in skeletal muscle. ELife, 8. https: //doi.org/10.7554/eLife.44876
[14]. Rosenblatt, J. D., & Parry, D. J. (1992). Gamma irradiation prevents compensatory hypertrophy of overloaded mouse extensor digitorum longus muscle. Journal of Applied Physiology, 73(6), 2538–2543. https: //doi.org/10.1152/jappl.1992.73.6.2538
[15]. Egner, I. M., Bruusgaard, J. C., & Gundersen, K. (2016a). Satellite cell depletion prevents fiber hypertrophy in skeletal muscle. Development, 143(16), 2898–2906. https: //doi.org/10.1242/dev.134411
[16]. Yin, H., Price, F., & Rudnicki, M. A. (2013). Satellite cells and the muscle stem cell niche. Physiological Reviews, 93(1), 23–67. https: //doi.org/10.1152/physrev.00043.2011
[17]. Dumont, N. A., Bentzinger, C. F., Sincennes, M., & Rudnicki, M. A. (2015). Satellite cells and skeletal muscle regeneration. Comprehensive Physiology, 1027–1059. https: //doi.org/10.1002/cphy.c140068
[18]. Mohr, O. L. (1919). Character changes caused by mutation of an entire region of a chromosome in Drosophila. Genetics, 4(3), 275–282. https: //doi.org/10.1093/genetics/4.3.275
[19]. Bigas, A., Robert-Moreno, lex, & Espinosa, L. (2010). The Notch pathway in the developing hematopoietic system. The International Journal of Developmental Biology, 54(6–7), 1175–1188. https: //doi.org/10.1387/ijdb.093049ab
[20]. Maillard, I., Fang, T., & Pear, W. S. (2005). Regulation of lymphoid development, differentiation, and function by the Notch pathway. Annual Review of Immunology, 23(1), 945–974. https: //doi.org/10.1146/annurev.immunol.23.021704.115747
[21]. Lin, S., Shen, H., Jin, B., Gu, Y., Chen, Z., Cao, C., Hu, C., Keller, C., Pear, W. S., & Wu, L. (2013). Brief report: Blockade of Notch signaling in muscle stem cells causes muscular dystrophic phenotype and impaired muscle regeneration. Stem Cells, 31(4), 823–828. https: //doi.org/10.1002/stem.1319
[22]. Conboy, I. M., Conboy, M. J., Smythe, G. M., & Rando, T. A. (2003). Notch-mediated restoration of regenerative potential to aged muscle. Science, 302(5650), 1575–1577. https: //doi.org/10.1126/science.1087573
[23]. Conboy, I. M., & Rando, T. A. (2002). The regulation of Notch signaling controls satellite cell activation and cell fate determination in postnatal myogenesis. Developmental Cell, 3(3), 397–409. https: //doi.org/10.1016/S1534-5807(02)00254-X
[24]. Jiang, C., Wen, Y., Kuroda, K., Hannon, K., Rudnicki, M. A., & Kuang, S. (2014). Notch signaling deficiency underlies age-dependent depletion of satellite cells in muscular dystrophy. Disease Models & Mechanisms. https: //doi.org/10.1242/dmm.015917
[25]. Murach, K. A., Dungan, C. M., Dupont-Versteegden, E. E., McCarthy, J. J., & Peterson, C. A. (2019). “Muscle memory” not mediated by myonuclear number? Secondary analysis of human detraining data. Journal of Applied Physiology, 127(6), 1814–1816. https: //doi.org/10.1152/japplphysiol.00506.2019
[26]. Psilander, N., Eftestøl, E., Cumming, K. T., Juvkam, I., Ekblom, M. M., Sunding, K., Wernbom, M., Holmberg, H.-C., Ekblom, B., Bruusgaard, J. C., Raastad, T., & Gundersen, K. (2019). Effects of training, detraining, and retraining on strength, hypertrophy, and myonuclear number in human skeletal muscle. Journal of Applied Physiology, 126(6), 1636–1645. https: //doi.org/10.1152/japplphysiol.00917.2018
[27]. Verdijk, L. B., Snijders, T., Drost, M., Delhaas, T., Kadi, F., & van Loon, L. J. C. (2014). Satellite cells in human skeletal muscle; from birth to old age. AGE, 36(2), 545–557. https: //doi.org/10.1007/s11357-013-9583-2
[28]. Hughes, & Schiaffino. (1999). Control of muscle fibre size: a crucial factor in ageing. Acta Physiologica Scandinavica, 167(4), 307–312. https: //doi.org/10.1046/j.1365-201x.1999.00619.x
[29]. Schultz, E., & Lipton, B. H. (1982). Skeletal muscle satellite cells: Changes in proliferation potential as a function of age. Mechanisms of Ageing and Development, 20(4), 377–383. https: //doi.org/10.1016/0047-6374(82)90105-1
[30]. Waddington, C. H. (1942). The Epigenotype. International Journal of Epidemiology, 41(1), 10–13. https: //doi.org/10.1093/ije/dyr184
[31]. Deaton, A. M., & Bird, A. (2011). CpG islands and the regulation of transcription. Genes & Development, 25(10), 1010–1022. https: //doi.org/10.1101/gad.2037511
[32]. Felsenfeld, G. (2014). A Brief History of Epigenetics. Cold Spring Harbor Perspectives in Biology, 6(1), a018200–a018200. https: //doi.org/10.1101/cshperspect.a018200
[33]. Seaborne, R. A., Strauss, J., Cocks, M., Shepherd, S., O’Brien, T. D., van Someren, K. A., Bell, P. G., Murgatroyd, C., Morton, J. P., Stewart, C. E., & Sharples, A. P. (2018). Human Skeletal Muscle Possesses an Epigenetic Memory of Hypertrophy. Scientific Reports, 8(1), 1898. https: //doi.org/10.1038/s41598-018-20287-3
[34]. Vara, J. Á. F., Casado, E., de Castro, J., Cejas, P., Belda-Iniesta, C., & González-Barón, M. (2004). PI3K/Akt signalling pathway and cancer. Cancer Treatment Reviews, 30(2), 193–204. https: //doi.org/10.1016/j.ctrv.2003.07.007
[35]. Jacobsen, S. C., Brøns, C., Bork-Jensen, J., Ribel-Madsen, R., Yang, B., Lara, E., Hall, E., Calvanese, V., Nilsson, E., Jørgensen, S. W., Mandrup, S., Ling, C., Fernandez, A. F., Fraga, M. F., Poulsen, P., & Vaag, A. (2012). Effects of short-term high-fat overfeeding on genome-wide DNA methylation in the skeletal muscle of healthy young men. Diabetologia, 55(12), 3341–3349. https: //doi.org/10.1007/s00125-012-2717-8
[36]. Frei, T., Cella, F., Tedeschi, F., Gutiérrez, J., Stan, G.-B., Khammash, M., & Siciliano, V. (2020). Characterization and mitigation of gene expression burden in mammalian cells. Nature Communications, 11(1), 4641. https: //doi.org/10.1038/s41467-020-18392-x
[37]. Hargreaves, M., & Spriet, L. L. (2020). Skeletal muscle energy metabolism during exercise. Nature Metabolism, 2(9), 817-828. https: //doi.org/10.1038/s42255-020-0251-4
[38]. McGee, S. L., Fairlie, E., Garnham, A. P., & Hargreaves, M. (2009). Exercise‐induced histone modifications in human skeletal muscle. The Journal of Physiology, 587(24), 5951–5958. https: //doi.org/10.1113/jphysiol.2009.181065
[39]. Wang, G., & Zhang, M. (2016). Tunable ultrasensitivity: Functional decoupling and biological insights. Scientific Reports, 6(1), 20345. https: //doi.org/10.1038/srep20345
[40]. Ferrell, J. E. (2002). Self-perpetuating states in signal transduction: positive feedback, double-negative feedback and bistability. Current Opinion in Cell Biology, 14(2), 140–148. https: //doi.org/10.1016/S0955-0674(02)00314-9
[41]. Lo, J. H., U, K. P., Yiu, T., Ong, M. T., & Lee, W. Y. (2020). Sarcopenia: Current treatments and new regenerative therapeutic approaches. Journal of Orthopaedic Translation, 23, 38–52. https: //doi.org/10.1016/j.jot.2020.04.002
[42]. Cruz-Jentoft, A. J., & Sayer, A. A. (2019). Sarcopenia. The Lancet, 393(10191), 2636–2646. https: //doi.org/10.1016/S0140-6736(19)31138-9
[43]. Kanasi, E., Ayilavarapu, S., & Jones, J. (2016). The aging population: demographics and the biology of aging. Periodontology 2000, 72(1), 13–18. https: //doi.org/10.1111/prd.12126
Cite this article
Zhang,C. (2025). Skeletal Muscle Memory and Its Implications. Theoretical and Natural Science,117,109-116.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
About volume
Volume title: Proceedings of ICBioMed 2025 Symposium: Computational Modelling and Simulation for Biology and Medicine
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).
References
[1]. Gundersen, K. (2016). Muscle memory and a new cellular model for muscle atrophy and hypertrophy. Journal of Experimental Biology, 219(2), 235-242. https: //doi.org/10.1242/jeb.124495
[2]. Sharples, A. P., & Turner, D. C. (2023). Skeletal muscle memory. American Journal of Physiology-Cell Physiology, 324(6), C1274-C1294. https: //doi.org/10.1152/ajpcell.00099.2023
[3]. Sharples, A. P., Stewart, C. E., & Seaborne, R. A. (2016). Does skeletal muscle have an ‘epi’‐memory? The role of epigenetics in nutritional programming, metabolic disease, aging and exercise. Aging Cell, 15(4), 603-616. https: //doi.org/10.1111/acel.12486
[4]. Natoli, G., & Ostuni, R. (2019). Adaptation and memory in immune responses. Nature Immunology, 20(7), 783-792. https: //doi.org/10.1038/s41590-019-0399-9
[5]. Cheek, D. B., Holt, A. B., Hill, D. E., & Talbert, J. L. (1971). Skeletal muscle cell mass and growth: The concept of the deoxyribonucleic acid unit. Pediatric Research, 5(7), 312-328. https: //doi.org/10.1203/00006450-197107000-00004
[6]. Allen, D. L., Roy, R. R., & Edgerton, V. R. (1999). Myonuclear domains in muscle adaptation and disease. Muscle & Nerve, 22(10), 1350-1360. https: //doi.org/10.1002/(SICI)1097-4598(199910)22: 10< 1350: : AID-MUS3> 3.0.CO; 2-8
[7]. Schoenfeld, B. J. (2010). The mechanisms of muscle hypertrophy and their application to resistance training. Journal of Strength and Conditioning Research, 24(10), 2857-2872. https: //doi.org/10.1519/JSC.0b013e3181e840f3
[8]. Qaisar, R., & Larsson, L. (2014). What determines myonuclear domain size? Indian Journal of Physiology and Pharmacology, 58, 1-12. https: //pubmed.ncbi.nlm.nih.gov/25464670/
[9]. Gregory, T. R. (2001). Coincidence, coevolution, or causation? DNA content, cellsize, and the C-value enigma. Biological Reviews. https: //doi.org/10.1111/j.1469-185X.2000.tb00059.x
[10]. Rutherford, O. M., & Jones, D. A. (1986). The role of learning and coordination in strength training. European Journal of Applied Physiology and Occupational Physiology, 55(1), 100-105. https: //doi.org/10.1007/BF00422902
[11]. Bruusgaard, J. C., Johansen, I. B., Egner, I. M., Rana, Z. A., & Gundersen, K. (2010). Myonuclei acquired by overload exercise precede hypertrophy and are not lost on detraining. Proceedings of the National Academy of Sciences, 107(34), 15111–15116. https: //doi.org/10.1073/pnas.0913935107
[12]. Egner, I. M., Bruusgaard, J. C., Eftestøl, E., & Gundersen, K. (2013). A cellular memory mechanism aids overload hypertrophy in muscle long after an episodic exposure to anabolic steroids. The Journal of Physiology, 591(24), 6221-6230. https: //doi.org/10.1113/jphysiol.2013.264457
[13]. Goh, Q., Song, T., Petrany, M. J., Cramer, A. A., Sun, C., Sadayappan, S., Lee, S.-J., & Millay, D. P. (2019). Myonuclear accretion is a determinant of exercise-induced remodeling in skeletal muscle. ELife, 8. https: //doi.org/10.7554/eLife.44876
[14]. Rosenblatt, J. D., & Parry, D. J. (1992). Gamma irradiation prevents compensatory hypertrophy of overloaded mouse extensor digitorum longus muscle. Journal of Applied Physiology, 73(6), 2538–2543. https: //doi.org/10.1152/jappl.1992.73.6.2538
[15]. Egner, I. M., Bruusgaard, J. C., & Gundersen, K. (2016a). Satellite cell depletion prevents fiber hypertrophy in skeletal muscle. Development, 143(16), 2898–2906. https: //doi.org/10.1242/dev.134411
[16]. Yin, H., Price, F., & Rudnicki, M. A. (2013). Satellite cells and the muscle stem cell niche. Physiological Reviews, 93(1), 23–67. https: //doi.org/10.1152/physrev.00043.2011
[17]. Dumont, N. A., Bentzinger, C. F., Sincennes, M., & Rudnicki, M. A. (2015). Satellite cells and skeletal muscle regeneration. Comprehensive Physiology, 1027–1059. https: //doi.org/10.1002/cphy.c140068
[18]. Mohr, O. L. (1919). Character changes caused by mutation of an entire region of a chromosome in Drosophila. Genetics, 4(3), 275–282. https: //doi.org/10.1093/genetics/4.3.275
[19]. Bigas, A., Robert-Moreno, lex, & Espinosa, L. (2010). The Notch pathway in the developing hematopoietic system. The International Journal of Developmental Biology, 54(6–7), 1175–1188. https: //doi.org/10.1387/ijdb.093049ab
[20]. Maillard, I., Fang, T., & Pear, W. S. (2005). Regulation of lymphoid development, differentiation, and function by the Notch pathway. Annual Review of Immunology, 23(1), 945–974. https: //doi.org/10.1146/annurev.immunol.23.021704.115747
[21]. Lin, S., Shen, H., Jin, B., Gu, Y., Chen, Z., Cao, C., Hu, C., Keller, C., Pear, W. S., & Wu, L. (2013). Brief report: Blockade of Notch signaling in muscle stem cells causes muscular dystrophic phenotype and impaired muscle regeneration. Stem Cells, 31(4), 823–828. https: //doi.org/10.1002/stem.1319
[22]. Conboy, I. M., Conboy, M. J., Smythe, G. M., & Rando, T. A. (2003). Notch-mediated restoration of regenerative potential to aged muscle. Science, 302(5650), 1575–1577. https: //doi.org/10.1126/science.1087573
[23]. Conboy, I. M., & Rando, T. A. (2002). The regulation of Notch signaling controls satellite cell activation and cell fate determination in postnatal myogenesis. Developmental Cell, 3(3), 397–409. https: //doi.org/10.1016/S1534-5807(02)00254-X
[24]. Jiang, C., Wen, Y., Kuroda, K., Hannon, K., Rudnicki, M. A., & Kuang, S. (2014). Notch signaling deficiency underlies age-dependent depletion of satellite cells in muscular dystrophy. Disease Models & Mechanisms. https: //doi.org/10.1242/dmm.015917
[25]. Murach, K. A., Dungan, C. M., Dupont-Versteegden, E. E., McCarthy, J. J., & Peterson, C. A. (2019). “Muscle memory” not mediated by myonuclear number? Secondary analysis of human detraining data. Journal of Applied Physiology, 127(6), 1814–1816. https: //doi.org/10.1152/japplphysiol.00506.2019
[26]. Psilander, N., Eftestøl, E., Cumming, K. T., Juvkam, I., Ekblom, M. M., Sunding, K., Wernbom, M., Holmberg, H.-C., Ekblom, B., Bruusgaard, J. C., Raastad, T., & Gundersen, K. (2019). Effects of training, detraining, and retraining on strength, hypertrophy, and myonuclear number in human skeletal muscle. Journal of Applied Physiology, 126(6), 1636–1645. https: //doi.org/10.1152/japplphysiol.00917.2018
[27]. Verdijk, L. B., Snijders, T., Drost, M., Delhaas, T., Kadi, F., & van Loon, L. J. C. (2014). Satellite cells in human skeletal muscle; from birth to old age. AGE, 36(2), 545–557. https: //doi.org/10.1007/s11357-013-9583-2
[28]. Hughes, & Schiaffino. (1999). Control of muscle fibre size: a crucial factor in ageing. Acta Physiologica Scandinavica, 167(4), 307–312. https: //doi.org/10.1046/j.1365-201x.1999.00619.x
[29]. Schultz, E., & Lipton, B. H. (1982). Skeletal muscle satellite cells: Changes in proliferation potential as a function of age. Mechanisms of Ageing and Development, 20(4), 377–383. https: //doi.org/10.1016/0047-6374(82)90105-1
[30]. Waddington, C. H. (1942). The Epigenotype. International Journal of Epidemiology, 41(1), 10–13. https: //doi.org/10.1093/ije/dyr184
[31]. Deaton, A. M., & Bird, A. (2011). CpG islands and the regulation of transcription. Genes & Development, 25(10), 1010–1022. https: //doi.org/10.1101/gad.2037511
[32]. Felsenfeld, G. (2014). A Brief History of Epigenetics. Cold Spring Harbor Perspectives in Biology, 6(1), a018200–a018200. https: //doi.org/10.1101/cshperspect.a018200
[33]. Seaborne, R. A., Strauss, J., Cocks, M., Shepherd, S., O’Brien, T. D., van Someren, K. A., Bell, P. G., Murgatroyd, C., Morton, J. P., Stewart, C. E., & Sharples, A. P. (2018). Human Skeletal Muscle Possesses an Epigenetic Memory of Hypertrophy. Scientific Reports, 8(1), 1898. https: //doi.org/10.1038/s41598-018-20287-3
[34]. Vara, J. Á. F., Casado, E., de Castro, J., Cejas, P., Belda-Iniesta, C., & González-Barón, M. (2004). PI3K/Akt signalling pathway and cancer. Cancer Treatment Reviews, 30(2), 193–204. https: //doi.org/10.1016/j.ctrv.2003.07.007
[35]. Jacobsen, S. C., Brøns, C., Bork-Jensen, J., Ribel-Madsen, R., Yang, B., Lara, E., Hall, E., Calvanese, V., Nilsson, E., Jørgensen, S. W., Mandrup, S., Ling, C., Fernandez, A. F., Fraga, M. F., Poulsen, P., & Vaag, A. (2012). Effects of short-term high-fat overfeeding on genome-wide DNA methylation in the skeletal muscle of healthy young men. Diabetologia, 55(12), 3341–3349. https: //doi.org/10.1007/s00125-012-2717-8
[36]. Frei, T., Cella, F., Tedeschi, F., Gutiérrez, J., Stan, G.-B., Khammash, M., & Siciliano, V. (2020). Characterization and mitigation of gene expression burden in mammalian cells. Nature Communications, 11(1), 4641. https: //doi.org/10.1038/s41467-020-18392-x
[37]. Hargreaves, M., & Spriet, L. L. (2020). Skeletal muscle energy metabolism during exercise. Nature Metabolism, 2(9), 817-828. https: //doi.org/10.1038/s42255-020-0251-4
[38]. McGee, S. L., Fairlie, E., Garnham, A. P., & Hargreaves, M. (2009). Exercise‐induced histone modifications in human skeletal muscle. The Journal of Physiology, 587(24), 5951–5958. https: //doi.org/10.1113/jphysiol.2009.181065
[39]. Wang, G., & Zhang, M. (2016). Tunable ultrasensitivity: Functional decoupling and biological insights. Scientific Reports, 6(1), 20345. https: //doi.org/10.1038/srep20345
[40]. Ferrell, J. E. (2002). Self-perpetuating states in signal transduction: positive feedback, double-negative feedback and bistability. Current Opinion in Cell Biology, 14(2), 140–148. https: //doi.org/10.1016/S0955-0674(02)00314-9
[41]. Lo, J. H., U, K. P., Yiu, T., Ong, M. T., & Lee, W. Y. (2020). Sarcopenia: Current treatments and new regenerative therapeutic approaches. Journal of Orthopaedic Translation, 23, 38–52. https: //doi.org/10.1016/j.jot.2020.04.002
[42]. Cruz-Jentoft, A. J., & Sayer, A. A. (2019). Sarcopenia. The Lancet, 393(10191), 2636–2646. https: //doi.org/10.1016/S0140-6736(19)31138-9
[43]. Kanasi, E., Ayilavarapu, S., & Jones, J. (2016). The aging population: demographics and the biology of aging. Periodontology 2000, 72(1), 13–18. https: //doi.org/10.1111/prd.12126