Muscle Health Patterns and Brain MRI Indices: A Cluster Analysis

Author:

Wu Shou-En1ORCID,Chen Wei-Liang23ORCID

Affiliation:

1. Department of Dermatology, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center , Taipei, Taiwan , Republic of China

2. Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center , Taipei, Taiwan , Republic of China

3. Division of Geriatric Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center , Taipei, Taiwan , Republic of China

Abstract

AbstractBackground and ObjectivesThe interplay between muscle and brain lacks a holistic approach to assess the combined effect of multiple factors. This study utilizes clustering analysis to identify muscle health patterns and their relationships with various brain magnetic resonance imaging (MRI) indices.Research Design and MethodsTwo hundred and seventy-five cognitively intact participants who completed brain MRI from the Health, Aging, and Body Composition Study were enrolled. Muscle health-related markers that showed significant relationship with total gray matter volume entered the cluster analysis. Subsequently, macrostructural and microstructural MRI indices were examined with analysis of variance and multiple linear regression analysis to determine significant associations with muscle health clusters. The muscle health cluster included 6 variables: age, skeletal muscle mass index, gait speed, handgrip strength, change of total body fat, and serum leptin level. Clustering method produced 3 clusters which had characteristics of obese, leptin-resistant, and sarcopenia, respectively.ResultsBrain MRI indices that revealed significant associations with the clusters included gray matter volume (GMV) in cerebellum (p < .001), superior frontal gyrus (p = .019), inferior frontal gyrus (p = .003), posterior cingulum (p = .021), vermis (p = .045), and gray matter density (GMD) in gyrus rectus (p < .001) and temporal pole (p < .001). The leptin-resistant group had most degree of reduction in GMV, whereas the sarcopenia group had most degree of reduction in GMD.Discussion and ImplicationsThe leptin-resistant and sarcopenia populations had higher risk of neuroimaging alterations. Clinicians should raise awareness on the brain MRI findings in clinical settings. Because these patients mostly had central nervous system conditions or other critical illnesses, the risk of sarcopenia as a comorbidity will substantially affect the prognosis and medical care.

Funder

National Institute on Aging

NINR

Intramural Research Program

NIH

Publisher

Oxford University Press (OUP)

Subject

Life-span and Life-course Studies,Health Professions (miscellaneous),Health (social science)

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