TY - JOUR
T1 - Metabolic syndrome predictors of brain gray matter volume in an age-stratified community sample of 776 Mexican- American adults
T2 - Results from the genetics of brain structure image archive
AU - Kotkowski, Eithan
AU - Price, Larry R.
AU - DeFronzo, Ralph A.
AU - Franklin, Crystal G.
AU - Salazar, Maximino
AU - Garrett, Amy S.
AU - Woolsey, Mary
AU - Blangero, John
AU - Duggirala, Ravindranath
AU - Glahn, David C.
AU - Fox, Peter T.
N1 - Funding Information:
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional committee, NIH, and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants involved in this study. The patient data utilized in this research project has been acquired and is currently archived at the Research Imaging Institute as part of the Genetics of Brain Structure and Function (GOBS) study. The GOBS database constitutes a large (n = 1911) series of magnetic resonance and genetics data gathered by DG and JB. This project was funded by a series of NIMH grants (MH078111; MH0708143; MH083824). Part of the resource-sharing agreement for these grants is that GOBS data be de-identified and accessible for future studies.
Funding Information:
This study was supported by funds from the National Institutes of Health (NIH/NIGMS: South Texas Medical Scientist Training Program, T32 GM113898; NIH/NIMH; R01 Diversity Supplement Grant, R01 MH074457-11S1; NIH/NCATS: Translational Scientist Training Program, TL1 TR002647-01; NIH/NIA: South Texas Alzheimer’s Disease Center P30 AG066546). The content was solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
Publisher Copyright:
Copyright © 2022 Kotkowski, Price, DeFronzo, Franklin, Salazar, Garrett, Woolsey, Blangero, Duggirala, Glahn and Fox.
PY - 2022/9/20
Y1 - 2022/9/20
N2 - Introduction: This project aimed to investigate the association between biometric components of metabolic syndrome (MetS) with gray matter volume (GMV) obtained with magnetic resonance imaging (MRI) from a large cohort of community-based adults (n = 776) subdivided by age and sex and employing brain regions of interest defined previously as the “Neural Signature of MetS” (NS-MetS). Methods: Lipid profiles, biometrics, and regional brain GMV were obtained from the Genetics of Brain Structure (GOBS) image archive. Participants underwent T1-weighted MR imaging. MetS components (waist circumference, fasting plasma glucose, triglycerides, HDL cholesterol, and blood pressure) were defined using the National Cholesterol Education Program Adult Treatment Panel III. Subjects were grouped by age: early adult (18–25 years), young adult (26–45 years), and middle-aged adult (46–65 years). Linear regression modeling was used to investigate associations between MetS components and GMV in five brain regions comprising the NS-MetS: cerebellum, brainstem, orbitofrontal cortex, right insular/limbic cluster and caudate. Results: In both men and women of each age group, waist circumference was the single component most strongly correlated with decreased GMV across all NS-MetS regions. The brain region most strongly correlated to all MetS components was the posterior cerebellum. Conclusion: The posterior cerebellum emerged as the region most significantly associated with MetS individual components, as the only region to show decreased GMV in young adults, and the region with the greatest variance between men and women. We propose that future studies investigating neurological effects of MetS and its comorbidities—namely diabetes and obesity—should consider the NS-MetS and the differential effects of age and sex.
AB - Introduction: This project aimed to investigate the association between biometric components of metabolic syndrome (MetS) with gray matter volume (GMV) obtained with magnetic resonance imaging (MRI) from a large cohort of community-based adults (n = 776) subdivided by age and sex and employing brain regions of interest defined previously as the “Neural Signature of MetS” (NS-MetS). Methods: Lipid profiles, biometrics, and regional brain GMV were obtained from the Genetics of Brain Structure (GOBS) image archive. Participants underwent T1-weighted MR imaging. MetS components (waist circumference, fasting plasma glucose, triglycerides, HDL cholesterol, and blood pressure) were defined using the National Cholesterol Education Program Adult Treatment Panel III. Subjects were grouped by age: early adult (18–25 years), young adult (26–45 years), and middle-aged adult (46–65 years). Linear regression modeling was used to investigate associations between MetS components and GMV in five brain regions comprising the NS-MetS: cerebellum, brainstem, orbitofrontal cortex, right insular/limbic cluster and caudate. Results: In both men and women of each age group, waist circumference was the single component most strongly correlated with decreased GMV across all NS-MetS regions. The brain region most strongly correlated to all MetS components was the posterior cerebellum. Conclusion: The posterior cerebellum emerged as the region most significantly associated with MetS individual components, as the only region to show decreased GMV in young adults, and the region with the greatest variance between men and women. We propose that future studies investigating neurological effects of MetS and its comorbidities—namely diabetes and obesity—should consider the NS-MetS and the differential effects of age and sex.
KW - central obesity
KW - cerebellar cognitive affective syndrome (CCAS)
KW - insulin resistance
KW - magnetic resonance imaging (MRI)
KW - metabolic syndrome
KW - posterior cerebellum
KW - voxel-based morphometry (VBM)
KW - waist circumference
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U2 - 10.3389/fnagi.2022.999288
DO - 10.3389/fnagi.2022.999288
M3 - Article
AN - SCOPUS:85139203787
SN - 1663-4365
VL - 14
JO - Frontiers in Aging Neuroscience
JF - Frontiers in Aging Neuroscience
M1 - 999288
ER -