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Skeletal Muscle Transcriptomic Comparison between Long-Term Trained and Untrained Men and Women.
Chapman, Mark A; Arif, Muhammad; Emanuelsson, Eric B; Reitzner, Stefan M; Lindholm, Maléne E; Mardinoglu, Adil; Sundberg, Carl Johan.
Afiliação
  • Chapman MA; Department of Integrated Engineering, University of San Diego, San Diego, CA 92110, USA; Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden. Electronic address: markchapman@sandiego.edu.
  • Arif M; Science for Life Laboratory, KTH-Royal Institute of Technology, 171 65 Solna, Sweden.
  • Emanuelsson EB; Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden.
  • Reitzner SM; Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden.
  • Lindholm ME; Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden; Department of Medicine, School of Medicine, Stanford University, Stanford CA 94305, USA.
  • Mardinoglu A; Science for Life Laboratory, KTH-Royal Institute of Technology, 171 65 Solna, Sweden; Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London SE1 9RT, UK.
  • Sundberg CJ; Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden; Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, 171 77 Stockholm, Sweden; Department of Laboratory Medicine, Karolinska Institutet, 141 52 Huddinge, Sweden.
Cell Rep ; 31(12): 107808, 2020 06 23.
Article em En | MEDLINE | ID: mdl-32579934
To better understand the health benefits of lifelong exercise in humans, we conduct global skeletal muscle transcriptomic analyses of long-term endurance- (9 men, 9 women) and strength-trained (7 men) humans compared with age-matched untrained controls (7 men, 8 women). Transcriptomic analysis, Gene Ontology, and genome-scale metabolic modeling demonstrate changes in pathways related to the prevention of metabolic diseases, particularly with endurance training. Our data also show prominent sex differences between controls and that these differences are reduced with endurance training. Additionally, we compare our data with studies examining muscle gene expression before and after a months-long training period in individuals with metabolic diseases. This analysis reveals that training shifts gene expression in individuals with impaired metabolism to become more similar to our endurance-trained group. Overall, our data provide an extensive examination of the accumulated transcriptional changes that occur with decades-long training and identify important "exercise-responsive" genes that could attenuate metabolic disease.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Músculo Esquelético / Treinamento Resistido / Transcriptoma Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Cell Rep Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Músculo Esquelético / Treinamento Resistido / Transcriptoma Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Cell Rep Ano de publicação: 2020 Tipo de documento: Article