| Title |
Body fat and components of sarcopenia relate to inflammation, brain volume and neurometabolism in older adults |
| Authors |
Vints, Wouter A. J ; Kušleikienė, Simona ; Sheoran, Samrat ; Valatkevičienė, Kristina ; Gleiznienė, Rymantė ; Himmelreich, Uwe ; Pääsuke, Mati ; Česnaitienė, Vida J ; Levin, Oron ; Verbunt, Jeanine ; Masiulis, Nerijus |
| DOI |
10.1016/j.neurobiolaging.2023.02.011 |
| Full Text |
|
| Is Part of |
Neurobiology of aging.. New York : Elsevier BV. 2023, vol. 127, p. 1-11.. ISSN 0197-4580 |
| Keywords [eng] |
body composition ; cognition ; aging ; physical fitness ; neuroinflammation ; neurotrophic factor |
| Abstract [eng] |
Obesity and sarcopenia are associated with cognitive impairments at older age. Current research suggests that blood biomarkers may mediate this body-brain crosstalk, altering neurometabolism and brain structure eventually resulting in cognitive performance changes. Seventy-four older adults (60-85 years old) underwent bio-impedance body composition analysis, handgrip strength measurements, 8-Foot Up-and-Go (8UG) test, Montreal Cognitive Assessment (MoCA), blood analysis of interleukin-6 (IL-6), kynurenine, and insulin-like growth factor-1 (IGF-1), as well as brain magnetic resonance imaging (MRI) and proton magnetic resonance spectroscopy (1H-MRS), estimating neurodegeneration and neuroinflammation. Normal fat% or overweight was associated with larger total gray matter volume compared to underweight or obesity in older adults and obesity was associated with higher N-acetylaspartate/Creatine levels in the sensorimotor and dorsolateral prefrontal cortex. Muscle strength, not muscle mass/physical performance, corresponded to lower kynurenine and higher N-acetylaspartate/Creatine levels in the dorsal posterior cingulate and dorsolateral prefrontal cortex. The inflammatory and neurotrophic blood biomarkers did not significantly mediate these body-brain associations. This study used a multimodal approach to comprehensively assess the proposed mechanism of body-brain crosstalk. |
| Published |
New York : Elsevier BV |
| Type |
Journal article |
| Language |
English |
| Publication date |
2023 |
| CC license |
|
