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  Gray matter structural networks are associated with cardiovascular risk factors in healthy older adults

Kharabian, S., Beyer, F., Lampe, L., Loeffler, M., Luck, T., Riedel-Heller, S. G., et al. (2018). Gray matter structural networks are associated with cardiovascular risk factors in healthy older adults. Journal of Cerebral Blood Flow and Metabolism, 38(2), 360-372. doi:10.1177/0271678X17729111.

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 Urheber:
Kharabian, Shahrzad1, Autor           
Beyer, Frauke1, Autor           
Lampe, Leonie1, 2, Autor           
Loeffler, Markus2, 3, Autor
Luck, Tobias2, 4, Autor
Riedel-Heller, Steffi G.4, Autor
Schroeter, Matthias L.1, 2, 5, Autor           
Stumvoll, Michael6, Autor
Villringer, Arno1, 5, Autor           
Witte, Veronica1, Autor           
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Leipzig Research Center for Civilization Diseases (LIFE), University of Leipzig, Germany, ou_persistent22              
3Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany, ou_persistent22              
4Institute of Social Medicine, Occupational Health and Public Health (ISAP), University Hospital Leipzig, Germany, ou_persistent22              
5Clinic for Cognitive Neurology, University of Leipzig, Germany, ou_persistent22              
6Integrated Research and Treatment Center Adiposity Diseases, University of Leipzig, Germany, ou_persistent22              

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Schlagwörter: Alzheimer's disease; Aging; Brain structure; Gray matter modifiers; Independent component analysis; Structural covariance
 Zusammenfassung: While recent ‘big data' analyses discovered structural brain networks that alter with age and relate to cognitive decline, identifying modifiable factors that prevent these changes remains a major challenge. We therefore aimed to determine the effects of common cardiovascular risk factors on vulnerable gray matter (GM) networks in a large and well-characterized population-based cohort. In 616 healthy elderly (258 women, 60–80 years) of the LIFE-Adult-Study, we assessed the effects of obesity, smoking, blood pressure, markers of glucose and lipid metabolism as well as physical activity on major GM-networks derived using linked independent component analysis. Age, sex, hypertension, diabetes, white matter hyperintensities, education and depression were considered as confounders. Results showed that smoking, higher blood pressure, and higher glycated hemoglobin (HbA1c) were independently associated with lower GM volume and thickness in GM-networks that covered most areas of the neocortex. Higher waist-to-hip ratio was independently associated with lower GM volume in a network of multimodal regions that correlated negatively with age and memory performance. In this large cross-sectional study, we found selective negative associations of smoking, higher blood pressure, higher glucose, and visceral obesity with structural covariance networks, suggesting that reducing these factors could help to delay late-life trajectories of GM aging.

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Sprache(n): eng - English
 Datum: 2017-07-082017-05-042017-07-172017-08-312018-02-01
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1177/0271678X17729111
PMID: 28857651
PMC: PMC5951018
Anderer: Epub 2017
 Art des Abschluß: -

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Projektname : -
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Förderorganisation : European Union (EU)
Projektname : -
Grant ID : -
Förderprogramm : European Regional Development Fund (ERDF)
Förderorganisation : European Commission (EC)
Projektname : -
Grant ID : -
Förderprogramm : -
Förderorganisation : Free State of Saxony
Projektname : -
Grant ID : 713-241202 ; 14505/2470 ; 14575/2470
Förderprogramm : -
Förderorganisation : LIFE – Leipzig Research Center for Civilization Diseases at the University of Leipzig
Projektname : Obesity Mechanisms / SFB 1052
Grant ID : -
Förderprogramm : -
Förderorganisation : Deutsche Forschungsgemeinschaft (DFG)

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Titel: Journal of Cerebral Blood Flow and Metabolism
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: New York : Lippincott Williams & Wilkins
Seiten: - Band / Heft: 38 (2) Artikelnummer: - Start- / Endseite: 360 - 372 Identifikator: ISSN: 0271-678X
CoNE: https://pure.mpg.de/cone/journals/resource/954925503202