A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition

Author:

Petersen Marvin1ORCID,Hoffstaedter Felix23ORCID,Nägele Felix L.1,Mayer Carola1,Schell Maximilian1,Rimmele D. Leander1,Zyriax Birgit-Christiane4,Zeller Tanja5,Kühn Simone6,Gallinat Jürgen6,Fiehler Jens7ORCID,Twerenbold Raphael58910,Omidvarnia Amir23,Patil Kaustubh R.23,Eickhoff Simon B.23,Thomalla Götz1,Cheng Bastian1

Affiliation:

1. Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany

2. Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany

3. Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center JuClich, Wilhelm-Johnen-Straße, 52425 JuClich, Germany

4. Midwifery Science-Health Services Research and Prevention, Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany

5. Department of Cardiology, University Heart and Vascular Center, Martinistraße 52, 20251 Hamburg, Germany

6. Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany

7. Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany

8. Epidemiological Study Center, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany

9. German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Luebeck, Martinistraße 52, 20251 Hamburg, Germany

10. University Center of Cardiovascular Science, University Heart and Vascular Center, Martinistraße 52, 20251 Hamburg, Germany

Abstract

The link between metabolic syndrome (MetS) and neurodegenerative as well cerebrovascular conditions holds substantial implications for brain health in at-risk populations. This study elucidates the complex relationship between metabolic syndrome (MetS) and brain health by conducting a comprehensive examination of cardiometabolic risk factors, cortical morphology, and cognitive function in 40,087 individuals. Multivariate, data-driven statistics identified a latent dimension linking more severe MetS to widespread cortical abnormalities and lower cognitive performance, accounting for up to 77% of shared variance in the data. This dimension was replicable across sub-samples. Our results also suggest that MetS-related cortical effects are shaped by 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 underscore the necessity for effective risk mitigation strategies aimed at maintaining brain integrity.

Publisher

eLife Sciences Publications, Ltd

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