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Association of body mass index with brain structure and biomarkers of inflammation in cognitively unimpaired middle‐aged adults with and without evidence of β‐amyloid pathology
Author(s) -
GrauRivera Oriol,
SalaVila Aleix,
Operto Greg,
Garcia Marina,
ArenazaUrquijo Eider M,
SuarezCalvet Marc,
SánchezBenavides Gonzalo,
MilàAlomà Marta,
GonzálezdeEchávarri José Maria,
Minguillón Carolina,
Suridjan Ivonne,
Kollmorgen Gwendlyn,
Molinuevo Jose,
Zetterberg Henrik,
Blennow Kaj,
Gispert Juan Domingo
Publication year - 2021
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1002/alz.053531
Subject(s) - neuroinflammation , medicine , body mass index , atrophy , systemic inflammation , inflammation , pathology , c reactive protein , glycated hemoglobin , endocrinology , diabetes mellitus , type 2 diabetes
Background Obesity has been linked to brain atrophy and peripheral inflammation. However, the association between body mass index (BMI) and brain structure can be confounded by Alzheimer’s disease (AD) pathology‐related weight loss, and its association with neuroinflammation remains unknown. We explored associations of BMI with brain structure and biomarkers of peripheral and central nervous system inflammation in cognitively unimpaired middle‐aged adults with and without evidence of β‐amyloid (Aβ) pathology. Method We analyzed data from 385 ALFA+ study participants. We measured plasma C‐reactive protein (CRP), CSF p‐tau and t‐tau with the Elecsys® immunoassays and CSF Aβ42, Aβ40 and neuroinflammation biomarkers (sTREM2, GFAP, YKL40, S100 and IL6) with the exploratory Roche NeuroToolKit robust prototype assays. We used separated linear regression models to analyze associations of BMI with plasma CRP, CSF AD and neuroinflammation biomarkers, and mean cortical thickness (CTh) in a composite AD signature region. We explored voxelwise associations (p<0.001, k=100) between BMI and gray matter volume (GMv) with SPM12. We stratified all analyses by Aβ status (defining positivity as Aβ42/40<0.071) and adjusted by age, sex, systolic blood pressure, triglyceride, glycated hemoglobin and physical exercise levels. Result BMI was positively associated with CRP levels in Aβ‐ and Aβ+ groups (p<0.001). We found no significant associations between BMI and CSF AD or neuroinflammation biomarkers. BMI was negatively associated with mean CTh in the AD signature region in the Aβ‐ (p<0.001), but not in the Aβ+ group (p=0.543). Voxel‐based morphometry analyses showed widespread negative associations between BMI and GMv in Aβ‐ participants involving bilateral prefrontal, medial temporal, parietal, occipital, thalamic and cerebellar regions (Figure 1), without positive associations. Among Aβ+ participants, we found positive associations with BMI in small clusters in the cerebellum, middle frontal and anterior cingulate gyri (Figure 2), without negative associations. Conclusion In the absence of Aβ pathology, higher BMI is associated with brain atrophy involving AD‐related areas, suggesting that midlife obesity may increase dementia risk by mechanisms unrelated to AD pathology. Conversely, among individuals on the AD continuum , higher BMI appears to be associated with more preserved brain structure. We found no evidence of an association between higher BMI and neuroinflammation.