Skeletal Muscle Physiology by Lucas Guimarães-Ferreira, Humberto Nicastro, Jacob Wilson, Nelo Eidy Zanchi

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A Muscle Physiology-Based Framework for Quantifying Training Load in Resistance Exercises by Frank Imbach, Stéphane Perrey, Thomas Brioche, Robin Candau

“…This study was aimed to provide a muscle physiology-based approach for quantifying TL in resistance exercises (REs). …”
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Skeletal Muscle Mitochondria and Aging: A Review by Courtney M. Peterson, Darcy L. Johannsen, Eric Ravussin

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Gut Dysbiosis and Muscle Aging: Searching for Novel Targets against Sarcopenia by Anna Picca, Francesca Fanelli, Riccardo Calvani, Giuseppina Mulè, Vito Pesce, Alex Sisto, Cecilia Pantanelli, Roberto Bernabei, Francesco Landi, Emanuele Marzetti

“…Here, we review the current knowledge of the changes in intestinal microbiota that occur in advanced age with a special emphasis on findings supporting the idea of a modulation of muscle physiology through alterations in gut microbial composition and activity.…”
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Label-free proteomic analysis of Duchenne and Becker muscular dystrophy showed decreased sarcomere proteins and increased ubiquitination-related proteins by Juliana Cristina Tobar da Silva, Mariângela Rangel Alves Nogueira, Yara Martins da Silva, Fábio César Sousa Nogueira, Nathalie Henriques Silva Canedo, Katia Carneiro, Denise de Abreu Pereira

“…The human phenotypes most related to the proteomic signature were abnormal circulating metabolites, muscle physiology, and weakness. Quantitative analysis identified significant changes in proteins associated with sarcomere organization and protein ubiquitination, such as myomesin, myozenin, and E3 ubiquitin-protein ligase rififylin, suggesting these as potential therapeutic targets.…”
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A Comprehensive Review on the Effects of Laser Photobiomodulation on Skeletal Muscle Fatigue in Spastic Patients by Sadi F. Stamborowski, Fernanda Púpio Silva Lima, Patrícia Sardinha Leonardo, Mário Oliveira Lima

“…Besides that, a literature review concerning on muscle physiology, fatigue, and LLLT was made. No language filter was applied, and altogether, 689 papers were identified. …”
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Genetic analyses identify circulating genes related to brain structures associated with Parkinson’s disease by Zhe Han, Yanping Zhu, Zhenhong Xia, Qing Deng, Hongjie He, Quanting Yin, Hui Zhang, Mudan Yuan, Chunhua Yang, Geng Tian, Jia Mi, Fuyi Xu

“…Additionally, 1345 circulating genes causally linked with white matter tract diffusivity were enriched for muscle physiological abnormalities (padj < 0.05). Notable genes, including LRRC37A4P (effect size = 15.7, p = 1.23E-55) and KANSL1-AS1 (effect size = -15.3, p = 1.13E-52), were directly associated with PD. …”
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