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Understanding Muscle Protein Dynamics: Technical Considerations for Advancing Sarcopenia Research.
Kim, Il-Young; Park, Sanghee; Jang, Jiwoong; Wolfe, Robert R.
Affiliation
  • Kim IY; Department of Molecular Medicine, College of Medicine, Gachon University, Incheon, Korea.
  • Park S; Korea Mouse Metabolic Phenotyping Center, Lee Gil Ya Cancer and Diabetes Institute, College of Medicine, Gachon University, Incheon, Korea.
  • Jang J; Korea Mouse Metabolic Phenotyping Center, Lee Gil Ya Cancer and Diabetes Institute, College of Medicine, Gachon University, Incheon, Korea.
  • Wolfe RR; Korea Mouse Metabolic Phenotyping Center, Lee Gil Ya Cancer and Diabetes Institute, College of Medicine, Gachon University, Incheon, Korea.
Ann Geriatr Med Res ; 24(3): 157-165, 2020 Sep.
Article in En | MEDLINE | ID: mdl-32752586
ABSTRACT
Sarcopenia, which is the loss of muscle mass and strength that occur with aging, involves imbalanced muscle protein turnover (i.e., protein breakdown exceeding synthesis), which in turn exacerbates other clinical conditions such as type 2 diabetes mellitus, obesity, osteoporosis, and cancer, thereby worsening the quality of life in older adults. This imbalance is attributed in part to the resistance of aged muscle to anabolic stimuli such as dietary protein/amino acids and resistance exercise known as anabolic resistance. Despite research efforts, no practical therapeutics have been successfully discovered possibly because of a lack of understanding of the dynamic nature of muscle protein, and the use of indirect assessments of muscle mass. Herein, we briefly discuss the regulation of protein turnover in response to the abovementioned anabolic stimuli with respect to anabolic resistance and optimal protein intake, followed by methodological considerations for advancing sarcopenia research, including assessments of muscle mass and dynamics.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Aspects: Patient_preference Language: En Journal: Ann Geriatr Med Res Year: 2020 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Aspects: Patient_preference Language: En Journal: Ann Geriatr Med Res Year: 2020 Document type: Article
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