Cardiometabolic risk factors associated with brain age and accelerate brain ageing

被引：50

作者：

Beck, Dani ^{[1
,2
,3
]}

de Lange, Ann-Marie G. ^{[1
,4
,5
,6
]}

Pedersen, Mads L. ^{[1
,2
]}

Alnaes, Dag ^{[1
,7
]}

Maximov, Ivan I. ^{[1
,2
,8
]}

Voldsbekk, Irene ^{[1
,2
]}

Richard, Genevieve ^{[1
]}

Sanders, Anne-Marthe ^{[1
,2
,3
]}

Ulrichsen, Kristine M. ^{[1
,2
,3
]}

Dorum, Erlend S. ^{[1
,2
,3
]}

Kolskar, Knut K. ^{[1
,2
,3
]}

Hogestol, Einar A. ^{[1
,2
]}

Steen, Nils Eiel ^{[1
]}

Djurovic, Srdjan ^{[1
]}

Andreassen, Ole A. ^{[1
,9
]}

Nordvik, Jan E. ^{[10
]}

Kaufmann, Tobias ^{[1
,11
]}

Westlye, Lars T. ^{[1
,2
,9
]}

机构：

[1] Univ Oslo, Norm ENT, Div Mental Hlth & Addict, Oslo Univ Hosp, Oslo, Norway

[2] Univ Oslo, Dept Psychol, POB 1094 Blindern, N-0317 Oslo, Norway

[3] Sunnaas Rehabil Hosp HT, Nesodden, Norway

[4] CHU Vaudois, Dept Clin Neurosci, Ctr Res Neurosci, LREN, Lausanne, Switzerland

[5] Univ Lausanne, Lausanne, Switzerland

[6] Univ Oxford, Dept Psychiat, Oxford, England

[7] Bjorknes Coll, Oslo, Norway

[8] Western Norway Univ Appl Sci, Dept Hlth & Functioning, Bergen, Norway

[9] Univ Oslo, KG Jebsen Ctr Neurodev Disorders, Oslo, Norway

[10] CatoSenteret Rehabil Ctr, Son, Norway

[11] Univ Tubingen, Dept Psychiat & Psychotherapy, Tubingen, Germany

来源：

HUMAN BRAIN MAPPING | 2022年 / 43卷 / 02期

基金：

欧盟地平线“2020”;

关键词：

brain age; cardiometabolic risk; DTI; T1; MRI; WHITE-MATTER HYPERINTENSITIES; GAMMA-GLUTAMYL-TRANSFERASE; C-REACTIVE PROTEIN; STROKE RISK; MRI SCANS; R PACKAGE; INTEGRITY; OBESITY; VOLUME; REGISTRATION;

D O I：

10.1002/hbm.25680

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

The structure and integrity of the ageing brain is interchangeably linked to physical health, and cardiometabolic risk factors (CMRs) are associated with dementia and other brain disorders. In this mixed cross-sectional and longitudinal study (interval mean = 19.7 months), including 790 healthy individuals (mean age = 46.7 years, 53% women), we investigated CMRs and health indicators including anthropometric measures, lifestyle factors, and blood biomarkers in relation to brain structure using MRI-based morphometry and diffusion tensor imaging (DTI). We performed tissue specific brain age prediction using machine learning and performed Bayesian multilevel modeling to assess changes in each CMR over time, their respective association with brain age gap (BAG), and their interaction effects with time and age on the tissue-specific BAGs. The results showed credible associations between DTI-based BAG and blood levels of phosphate and mean cell volume (MCV), and between T1-based BAG and systolic blood pressure, smoking, pulse, and C-reactive protein (CRP), indicating older-appearing brains in people with higher cardiometabolic risk (smoking, higher blood pressure and pulse, low-grade inflammation). Longitudinal evidence supported interactions between both BAGs and waist-to-hip ratio (WHR), and between DTI-based BAG and systolic blood pressure and smoking, indicating accelerated ageing in people with higher cardiometabolic risk (smoking, higher blood pressure, and WHR). The results demonstrate that cardiometabolic risk factors are associated with brain ageing. While randomized controlled trials are needed to establish causality, our results indicate that public health initiatives and treatment strategies targeting modifiable cardiometabolic risk factors may also improve risk trajectories and delay brain ageing.

引用

页码：700 / 720

页数：21

共 108 条

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