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Adipose tissue distribution from body MRI is associated with cross-sectional and longitudinal brain age in adults

Beck, Dani (författare)
Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway; Sunnaas Rehabil Hosp HT, Norway
De Lange, Ann-Marie G. (författare)
Univ Oslo, Norway; Univ Oslo, Norway; CHU Vaudois, Switzerland; Univ Lausanne, Switzerland; Univ Oxford, England
Alnaes, Dag (författare)
Univ Oslo, Norway; Univ Oslo, Norway; Bjorknes Coll, Norway
visa fler...
Maximov, Ivan I. (författare)
Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway; Western Norway Univ Appl Sci, Norway
Pedersen, Mads L. (författare)
Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway
Dahlqvist Leinhard, Olof, 1978- (författare)
Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,AMRA Med AB, Linkoping, Sweden
Linge, Jennifer (författare)
Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,AMRA Med AB, Linkoping, Sweden
Simon, Rozalyn (författare)
Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,AMRA Med AB, Linkoping, Sweden
Richard, Genevieve (författare)
Univ Oslo, Norway; Univ Oslo, Norway
Ulrichsen, Kristine M. (författare)
Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway; Sunnaas Rehabil Hosp HT, Norway
Dorum, Erlend S. (författare)
Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway; Sunnaas Rehabil Hosp HT, Norway
Kolskår, Knut K. (författare)
Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway; Sunnaas Rehabil Hosp HT, Norway
Sanders, Anne-Marthe (författare)
Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway; Sunnaas Rehabil Hosp HT, Norway
Winterton, Adriano (författare)
Univ Oslo, Norway; Univ Oslo, Norway
Gurholt, Tiril P. (författare)
Univ Oslo, Norway; Univ Oslo, Norway
Kaufmann, Tobias (författare)
Univ Oslo, Norway; Univ Oslo, Norway; Univ Tubingen, Germany
Steen, Nils Eiel (författare)
Univ Oslo, Norway; Univ Oslo, Norway
Nordvik, Jan Egil (författare)
CatoSenteret Rehabil Ctr, Norway
Andreassen, Ole A. (författare)
Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway
Westlye, Lars T. (författare)
Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway; Univ Oslo, Norway
visa färre...
 (creator_code:org_t)
Elsevier Science Ltd, 2022
2022
Engelska.
Ingår i: NeuroImage. - : Elsevier Science Ltd. - 2213-1582. ; 33
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • There is an intimate body-brain connection in ageing, and obesity is a key risk factor for poor cardiometabolic health and neurodegenerative conditions. Although research has demonstrated deleterious effects of obesity on brain structure and function, the majority of studies have used conventional measures such as waist-to-hip ratio, waist circumference, and body mass index. While sensitive to gross features of body composition, such global anthropometric features fail to describe regional differences in body fat distribution and composition. The sample consisted of baseline brain magnetic resonance imaging (MRI) acquired from 790 healthy participants aged 18-94 years (mean +/- standard deviation (SD) at baseline: 46.8 +/- 16.3), and follow-up brain MRI collected from 272 of those individuals (two time-points with 19.7 months interval, on average (min = 9.8, max = 35.6). Of the 790 included participants, cross-sectional body MRI data was available from a subgroup of 286 participants, with age range 19-86 (mean = 57.6, SD = 15.6). Adopting a mixed cross-sectional and longitudinal design, we investigated cross-sectional body magnetic resonance imaging measures of adipose tissue distribution in relation to longitudinal brain structure using MRI-based morphometry (T1) and diffusion tensor imaging (DTI). We estimated tissue-specific brain age at two time points and performed Bayesian multilevel modelling to investigate the associations between adipose measures at follow-up and brain age gap (BAG) - the difference between actual age and the prediction of the brains biological age - at baseline and follow-up. We also tested for interactions between BAG and both time and age on each adipose measure. The results showed credible associations between T1-based BAG and liver fat, muscle fat infiltration (MFI), and weight-to-muscle ratio (WMR), indicating older-appearing brains in people with higher measures of adipose tissue. Longitudinal evidence supported interaction effects between time and MFI and WMR on T1-based BAG, indicating accelerated ageing over the course of the study period in people with higher measures of adipose tissue. The results show that specific measures of fat distribution are associated with brain ageing and that different compartments of adipose tissue may be differentially linked with increased brain ageing, with potential to identify key processes involved in age-related transdiagnostic disease processes.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)

Nyckelord

Adipose tissue; Obesity; T1; DTI; MRI; Brain age

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ref (ämneskategori)
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