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Body composition and plasma total-tau, neurofilament light chain, and amyloid-ß: A population-based study.
de Crom, Tosca O E; Ghanbari, Mohsen; Voortman, Trudy; Ikram, M Arfan.
Affiliation
  • de Crom TOE; Department of Epidemiology Erasmus MC University Medical Center Rotterdam the Netherlands.
  • Ghanbari M; Department of Epidemiology Erasmus MC University Medical Center Rotterdam the Netherlands.
  • Voortman T; Department of Epidemiology Erasmus MC University Medical Center Rotterdam the Netherlands.
  • Ikram MA; Department of Epidemiology Erasmus MC University Medical Center Rotterdam the Netherlands.
Alzheimers Dement (Amst) ; 16(1): e12519, 2024.
Article in En | MEDLINE | ID: mdl-38229659
ABSTRACT
A higher body mass at older age has been linked to a lower risk of dementia. This unexpected trend may be explained by age-related lean mass depletion, or methodological issues such as the long preclinical phase of dementia or competing risks. Focusing on preclinical markers of dementia may overcome these issues. Between 2002 and 2005, body composition and plasma total-tau, neurofilament light chain (NfL), amyloid-ß40, and amyloid-ß42 were measured in 3408 dementia-free participants from the population-based Rotterdam Study. The cross-sectional associations between body composition and plasma markers were determined using linear regression models. Whole body and fat mass, but not lean mass, were positively associated with total-tau, while all these measures were inversely associated with NfL. Apart from an inverse association between lean mass and amyloid-ß40, body composition measures were not associated with plasma amyloid-ß. Our findings suggest distinct effects of body composition on neurodegeneration.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Alzheimer's & dementia. Diagnosis, assessment & disease monitoring / Alzheimers Dement (Amst) Year: 2024 Document type: Article Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Alzheimer's & dementia. Diagnosis, assessment & disease monitoring / Alzheimers Dement (Amst) Year: 2024 Document type: Article Country of publication: Estados Unidos