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  A metabolic obesity profile is associated with decreased gray matter volume in cognitively healthy older adults

Beyer, F., Kharabian, S., Kratzsch, J., Schroeter, M. L., Röhr, S., Riedel-Heller, S. G., et al. (2019). A metabolic obesity profile is associated with decreased gray matter volume in cognitively healthy older adults. Frontiers in Aging Neuroscience, 11: 202. doi:10.3389/fnagi.2019.00202.

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 Urheber:
Beyer, Frauke1, 2, Autor           
Kharabian, Shahrzad1, 3, Autor           
Kratzsch, Jürgen4, Autor
Schroeter, Matthias L.1, 5, Autor           
Röhr, Susanne6, Autor
Riedel-Heller, Steffi G.6, Autor
Villringer, Arno1, 2, 5, Autor           
Witte, A. Veronica1, 2, 5, Autor           
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Collaborative Research Center Obesity Mechanisms, Institute of Biochemistry, University of Leipzig, Germany, ou_persistent22              
3Institute of Neuroscience and Medicine, Research Center Jülich, Germany, ou_persistent22              
4Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics (ILM), University of Leipzig, Germany, ou_persistent22              
5Clinic for Cognitive Neurology, University of Leipzig, Germany, ou_persistent22              
6Institute of Social Medicine, Occupational Health and Public Health (ISAP), University Hospital Leipzig, Germany, ou_persistent22              

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Schlagwörter: VBM; Aging; Leptin – adiponectin; Metabolic risk; Multivariate analysis; Obesity
 Zusammenfassung: Obesity is a risk factor for cognitive decline and gray matter volume loss in aging. Studies have shown that different metabolic factors, e.g., dysregulated glucose metabolism and systemic inflammation, might mediate this association. Yet, even though these risk factors tend to co-occur, they have mostly been investigated separately, making it difficult to establish their joint contribution to gray matter volume structure in aging. Here, we therefore aimed to determine a metabolic profile of obesity that takes into account different anthropometric and metabolic measures to explain differences in gray matter volume in aging. We included 748 elderly, cognitively healthy participants (age range: 60 – 79 years, BMI range: 17 – 42 kg/m2) of the LIFE-Adult Study. All participants had complete information on body mass index, waist-to-hip ratio, glycated hemoglobin, total blood cholesterol, high-density lipoprotein, interleukin-6, C-reactive protein, adiponectin and leptin. Voxelwise gray matter volume was extracted from T1-weighted images acquired on a 3T Siemens MRI scanner. We used partial least squares correlation to extract latent variables with maximal covariance between anthropometric, metabolic and gray matter volume and applied permutation/bootstrapping and cross-validation to test significance and reliability of the result. We further explored the association of the latent variables with cognitive performance. Permutation tests and cross-validation indicated that the first pair of latent variables was significant and reliable. The metabolic profile was driven by negative contributions from body mass index, waist-to-hip ratio, glycated hemoglobin, C-reactive protein and leptin and a positive contribution from adiponectin. It positively covaried with gray matter volume in temporal, frontal and occipital lobe as well as subcortical regions and cerebellum. This result shows that a metabolic profile characterized by high body fat, visceral adiposity and systemic inflammation is associated with reduced gray matter volume and potentially reduced executive function in older adults. We observed the highest contributions for body weight and fat mass, which indicates that factors underlying sustained energy imbalance, like sedentary lifestyle or intake of energy-dense food, might be important determinants of gray matter structure in aging.

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Sprache(n): eng - English
 Datum: 2019-04-172019-07-172019-08-02
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: PMID: 31427957
DOI: 10.3389/fnagi.2019.00202
PMC: PMC6688742
Anderer: eCollection 2019
 Art des Abschluß: -

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Projektname : -
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Förderorganisation : European Union (EU)
Projektname : -
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Förderprogramm : European Regional Development Fund
Förderorganisation : European Commission (EC)
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Förderprogramm : -
Förderorganisation : Free State of Saxony
Projektname : -
Grant ID : 713-241202 ; 14505/2470 ; 14575/2470 ; 100329290
Förderprogramm : -
Förderorganisation : LIFE–Leipzig Research Center for Civilization Diseases, University of Leipzig
Projektname : Obesity Mechanisms / SFB 1052
Grant ID : -
Förderprogramm : -
Förderorganisation : German Research Foundation (DFG)
Projektname : -
Grant ID : SCHR 774/5-1 ; WI 3342/3-1
Förderprogramm : -
Förderorganisation : German Research Foundation (DFG)

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Titel: Frontiers in Aging Neuroscience
  Kurztitel : Front Aging Neurosci
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: Lausanne : Frontiers Research Foundation
Seiten: - Band / Heft: 11 Artikelnummer: 202 Start- / Endseite: - Identifikator: ISSN: 1663-4365
CoNE: https://pure.mpg.de/cone/journals/resource/1663-4365