Marshall A. Naimo
Brandon M. Roberts
Stephen E. Alway- 1Military Performance Division, US Army Research Institute of Environmental Medicine, Natick, MA, United States
- 2Laboratory of Muscle Biology and Sarcopenia, Division of Regenerative and Rehabilitation Sciences, College of Health Professions, University of Tennessee Health Science Center, Memphis, TN, United States
- 3Center for Muscle, Metabolism, and Neuropathology, Division of Regenerative and Rehabilitation Sciences, College of Health Professions, University of Tennessee Health Science Center, Memphis, TN, United States
- 4Department of Physiology, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States
- 5The Tennessee Institute of Regenerative Medicine, Memphis, TN, United States
Editorial on the Research Topic
Decoding muscle adaptation through skeletal muscle negative data: understanding the signaling factors involved
Skeletal muscle adapts to exercise by improving metabolism and structure, leading to elevated performance. The identification of multiple signaling pathways that contribute to muscle adaptation including, but not limited to, JAK2/STAT3 (Yao et al., 2024), TGFβ-Smad2/3-ATF4 (Vanhoutte et al., 2024), Hippo/YAP (Pan et al., 2024), Ca (2+)-NFATC1 (Zhou et al., 2024a), PROKR1-CREB-NR4A2 (Mok et al., 2024), mitochondria cross talk (Reisman et al., 2024), mitochondria biogenesis and function (Mesquita et al., 2021; Marzetti et al., 2024), redox levels (Zhou et al., 2024b), and autophagy (Parousis et al., 2018), and also individual mediators like GADD42a (Marcotte et al., 2023), Trim63 (da Mata et al., 2024), mTORC1 (DHulst et al., 2022; McIntosh et al., 2023), YAP (Brooks et al., 2018) and AMPK (Kido et al., 2023; Roberts et al., 2024) have provided important insight into our understanding of muscle plasticity. However, signaling proteins or pathways that do not change with exercise are rarely reported and often interpreted as unimportant and therefore are not published. Nevertheless, this information could provide critical insight into molecular targets for adaptation to occur. Furthermore, exercise-induced physiological changes require concerted interactions from multiple signaling cascades in different organ systems simultaneously. Thus, negative results (e.g., proteins or molecules that do not change) can highlight which pathways and molecules may not be involved. Reporting molecular signals that do not change significantly in response to exercise could reduce lost time and resources conducting experiments to test proteins that do not change. Thus, results from both positive and negative signaling are important for identifying novel biomarkers and understanding the adaptive exercise responses, including performance, hypertrophy, aerobic/anaerobic capacity, and muscle quality. Thus, the aim of this Research Topic was to provide a platform to publish negative results that were discovered through well-designed research trials on exercise training adaptations and related signaling mechanisms. Manuscripts considered for this Research Topic met all the requirements for submission, including providing details on the methods, a careful description of the controls for the experiments, a critical evaluation of the results and interpretation of the data, including a rationale/hypothesis for the importance of the negative results to the field, and suggestions for future directions to address the issue.
The five articles in this Research Topic covered different aspects of exercise, from aerobic exercise to resistance exercise. Halle et al. used a mouse model of long-duration treadmill running to investigate the effects FOLFOX chemotherapy, a commonly used approach to treat colorectal cancer, on the adaptations to short or long-duration treadmill exercise training. The results showed that while FOLFOX attenuated early exercise responses of osteocalcin, LIF, and IL-6, it did not change plantaris muscle COXIV activity and plasma levels of adiponectin. These findings highlight the need for more evidence-based exercise prescription guidelines for cancer survivors following chemotherapy and understanding how signaling mechanisms to exercise differ from normal individuals not undergoing chemotherapy. In a progressive resistance treadmill protocol, Yee et al. examined the effects of 12-week of treadmill training on muscle cellular content and transcriptional changes, along with whole body and muscle function, following recovery from disuse atrophy. The authors showed increases in exercise capacity, physical function, endothelial function, and a decrease in fat mass. However, there was no change in mRNAs for tibialis anterior muscle atrophy, pro-inflammatory, anti-inflammatory, and metabolism, or the content of macrophages, satellite cells, capillaries and collagen, with only a trend for increased tibialis anterior muscle mass during recovery from disuse atrophy. Collectively, the authors data suggests that progressive treadmill training in aged male mice had minor effects on muscle remodeling and growth following disuse atrophy. As these findings show different adaptative responses than reported in young animals, the data indicate the need for additional future research to identify the underlying signaling mechanisms that are required for aged muscle to recover following disuse atrophy. The third article in the Research Topic, from Burke et al., used a barium chloride-induced muscle damage model in adult mice. They reported minimal effects of Apolipoprotein E (ApoE), which included ApoE2, ApoE3, and ApoE4, on muscle regeneration following an extreme muscle damage model. The authors acknowledged the limitation that their injury model is a non-physiological model of muscle regeneration and that more studies are needed to determine if similar results hold true following adaptation to exercise training.
Next, Mattingly et al. used both a synergistic ablation model to induce hypertrophy of the plantaris muscle adult mice and a 6-week resistance training program in college-aged males to examine muscle protein lactylation responses. The authors found that there were no changes in lactylation-dependent mRNA in human biopsy muscle samples obtained following resistance training, and similarly there were no differences in lactylation content in ablation-induced overload muscle versus control. These findings challenge the long-held dogma that lactate has an impactful role in muscle growth as part of the adaptive response to resistance training. The final article in the Research Topic was a systematic review performed by Ye et al. aimed to investigate 8-OHdG as an indicator of DNA damage after an acute bout of exercise in trained and untrained adults. The results demonstrated that while there was a medium effect size of resistance exercise causing increased levels of circulating 8-OHdG for both trained and untrained adults, this effect only held true for untrained individuals following aerobic exercise. However, like resistance exercise, high-intensity aerobic exercise significantly increased circulating 8-OHdG. These results showed that 8-OHdG is dependent on exercise modality and training status, and that the role of 8-OHdG in the skeletal muscle inflammatory response following an acute bout of exercise needs further investigation.
In conclusion, the articles comprising this Research Topic have identified important molecules that are not a part of the underlying musculoskeletal signaling cascades that contribute to the adaptive response to exercise under different homeostatic conditions. The intent is that other researchers can use the information gathered from these experiments to refine their research and increase their chances of making new discoveries in the pursuit of characterizing the signaling mechanisms that contribute to the adaptive response to exercise more completely.
Author contributions
MN: Writing–review and editing, Writing–original draft, Project administration, Formal Analysis, Conceptualization. BR: Writing–review and editing, Formal Analysis, Conceptualization. SA: Writing–review and editing, Formal Analysis, Conceptualization.
Funding
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. During the writing of this manuscript, SA was funded by grant W81XWH2110187 from the Department of Defense.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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Author Disclaimer
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Keywords: exercise, negative data, skeletal muscle quality, pathways, adaptive response, overload, biomarkers, mechanisms and models
Citation: Naimo MA, Roberts BM and Alway SE (2024) Editorial: Decoding muscle adaptation through skeletal muscle negative data: understanding the signaling factors involved. Front. Physiol. 15:1440736. doi: 10.3389/fphys.2024.1440736
Received: 30 May 2024; Accepted: 03 June 2024;
Published: 20 June 2024.
Edited and reviewed by:
Giuseppe D’Antona, University of Pavia, ItalyCopyright © 2024 Naimo, Roberts and Alway. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Marshall A. Naimo, bmFpbW9tYXJzaGFsbEBnbWFpbC5jb20=