Journal Article

FZJ-2024-02131

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition

Petersen, M. (Corresponding author)FZJ* ; Hoffstaedter, F.FZJ* ; Nägele, F. L. ; Mayer, C. ; Schell, M. ; Rimmele, D. L. ; Zyriax, B.-C. ; Zeller, T. ; Kühn, S. ; Gallinat, J. ; Fiehler, J. ; Twerenbold, R. ; Omidvarnia, A.FZJ* ; Patil, K. R.FZJ* ; Eickhoff, S. B.FZJ* ; Thomalla, G. ; Cheng, B.

2024
eLife Sciences Publications Cambridge

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Please use a persistent id in citations: doi:10.7554/eLife.93246  doi:10.34734/FZJ-2024-02131

Abstract: he link between metabolic syndrome (MetS) and neurodegenerative as well as cerebrovascular conditions holds substantial implications for brain health in at-risk populations. This study elucidates the complex relationship between MetS and brain health by conducting a comprehensive examination of cardiometabolic risk factors, brain morphology, and cognitive function in 40,087 individuals. Multivariate, data-driven statistics identified a latent dimension linking more severe MetS to widespread brain morphological abnormalities, accounting for up to 71% of shared variance in the data. This dimension was replicable across sub-samples. In a mediation analysis, we could demonstrate that MetS-related brain morphological abnormalities mediated the link between MetS severity and cognitive performance in multiple domains. Employing imaging transcriptomics and connectomics, our results also suggest that MetS-related morphological abnormalities are linked to the regional cellular composition and macroscopic brain network organization. By leveraging extensive, multi-domain data combined with a dimensional stratification approach, our analysis provides profound insights into the association of MetS and brain health. These findings can inform effective therapeutic and risk mitigation strategies aimed at maintaining brain integrity.Keywords: brain morphology; cognitive function; connectomics; human; imaging transcriptomics; magnetic resonance imaging; medicine; metabolic syndrome; neuroscience.

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Contributing Institute(s):

1. Gehirn & Verhalten (INM-7)

Research Program(s):

1. 5251 - Multilevel Brain Organization and Variability (POF4-525) (POF4-525)

Appears in the scientific report 2024

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