Systemic and Metabolic Signature of Sarcopenia in Community-Dwelling Older Adults. (8th January 2019)

• Record Type: Journal Article
• Authors: Lu, Yanxia; Karagounis, Leonidas G; Ng, Tze Pin; Carre, Christophe; Narang, Vipin; Wong, Glenn; Tan, Crystal Tze Ying; Zin Nyunt, Ma Shwe; Gao, Qi; Abel, Brian; Poidinger, Michael; Fulop, Tamas; Bosco, Nabil; Larbi, Anis
• Editors: Newman, Anne
• Is Part Of: Journals of gerontology. Volume 75:Number 2(20220)
• Page Start: 309
• Page End: 317
• Publication Date: 2019-01-08
• Subjects: Sarcopenia -- Nutrition -- Metabolites -- Ingenuity pathway analysis -- Modifiable risk factors; Geriatrics -- Periodicals; Gerontology -- Periodicals; 618.97
• DOI: 10.1093/gerona/glz001
• Languages: English
• ISSNs: 1079-5006

Abstract

Abstract: Background: Evidence suggests the pivotal contribution of nutrition as a modifiable risk factor for sarcopenia. The present cross-sectional study characterized the nutritional and metabolic profile of sarcopenia through an extensive exploration of a wide array of blood biomarkers related to muscle protein metabolism and transcriptomic signatures in community-dwelling elderly adults. Methods: Among 189 older individuals with a mean age of 73.2 years, sarcopenia was diagnosed according to the Asian Working Group for Sarcopenia criteria based on appendicular lean mass measured by dual-energy X-ray absorptiometry scan, muscle strength, and gait speed. Nutritional status was evaluated using the mini-nutritional assessment (MNA). In addition, we assessed specific blood biomarkers of nutritional status (plasma essential amino acids [EAAs], vitamins), nicotine-derived metabolites, and an extensive microarray analysis from peripheral blood mononuclear cells. Results: Malnutrition defined by low MNA score was independently associated with sarcopenia ( p < .001). Sarcopenic elderly showed lower body mass index and leptin and higher adiponectin and high-density lipoproteins. Levels of EAAs including lysine, methionine, phenylalanine, threonine, as well as branched-chain AAs and choline, were inversely associated with sarcopenia. Furthermore, nicotine metabolites (cotinine and trans-3′-hydroxycotine) and vitamin B6 status were linked to one or more clinical and functional measures of sarcopenia. Differentially expressed genes and ingenuity pathway analysis supported the association of nutrition with sarcopenia. Conclusions: Herein, the characterization of a nutritional and metabolic signature of sarcopenia provides a firm basis and potential identification of specific targets and directions for the nutritional approach to the prevention and treatment of sarcopenia in aging populations.