Journal Article

DZNE-2021-00375

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Insulin resistance accounts for metabolic syndrome‐related alterations in brain structure

Lu, R. (First author)DZNE* ; Aziz, A.DZNE* ; Diers, K.DZNE* ; Stöcker, T.DZNE* ; Reuter, M.DZNE* ; Breteler, M. (Last author)DZNE*

2021
Wiley-Liss New York, NY

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Please use a persistent id in citations: doi:10.1002/hbm.25377

Abstract: Metabolic syndrome (MetS) is a major public health burden worldwide and associated with brain abnormalities. Although insulin resistance is considered a pivotal feature of MetS, its role in the pathogenesis of MetS-related brain alterations in the general population is unclear. Therefore, in 973 participants (mean age 52.5 years) of the population-based Rhineland Study, we assessed brain morphology in relation to MetS and insulin resistance, and evaluated to what extent the pattern of structural brain changes seen in MetS overlap with those associated with insulin resistance. Cortical reconstruction and volumetric segmentation were obtained from high-resolution brain images at 3 Tesla using FreeSurfer. The relations between metabolic measures and brain structure were assessed through (generalized) linear models. Both MetS and insulin resistance were associated with smaller cortical gray matter volume and thickness, but not with white matter or subcortical gray matter volume. Age- and sex-adjusted vertex-based brain morphometry demonstrated that MetS and insulin resistance were related to cortical thinning in a similar spatial pattern. Importantly, no independent effect of MetS on cortical gray matter was observed beyond the effect of insulin resistance. Our findings suggest that addressing insulin resistance is critical in the prevention of MetS-related brain changes in later life.

Keyword(s): atrophy ; cortical thickness ; insulin resistance ; magnetic resonance imaging ; metabolic syndrome

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Contributing Institute(s):

1. Artificial Intelligence in Medicine (AG Reuter)
2. Population Health Sciences (AG Breteler)
3. MR Physics (AG Stöcker)
4. Population & Clinical Neuroepidemiology (AG Aziz)

Research Program(s):

1. 354 - Disease Prevention and Healthy Aging (POF4-354) (POF4-354)

Experiment(s):

1. Rhineland Study / Bonn

Appears in the scientific report 2021

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