Visceral adiposity predicts subclinical white matter hyperintensities in middle-aged adults

Pasha, Evan; Birdsill, Alex C.; Parker, Paige; Elmenshawy, Ahmed; Tanaka, Hirofumi; Haley, Andreana P.

doi:10.1016/j.orcp.2016.04.003

Cited by 26 publications

(34 citation statements)

References 45 publications

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“…Interestingly, we found a negative correlation between WMH volume and BMI, which is contradictory to the results of previous reports (Xu et al, 2013; Pasha et al, 2017). One of these reports used diffusion tensor imaging to show that a high BMI is related to loss of white matter integrity (Xu et al, 2013).…”

Section: Discussioncontrasting

confidence: 99%

White Matter Hyperintensity in Elderly Patients with Diabetes Mellitus Is Associated with Cognitive Impairment, Functional Disability, and a High Glycoalbumin/Glycohemoglobin Ratio

Tamura

Kimbara

Yamaoka

et al. 2017

Front. Aging Neurosci.

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Aims: Although evidence has accumulated that white matter hyperintensity (WMH) is associated with the deterioration of cognitive function and impairment of activities of daily living (ADL), the clinical relevance of WMH in elderly patients with diabetes mellitus (DM) is not still clear. The aim of this study was to examine whether WMH volume is associated with ADL and cognitive function and whether glucose control and glucose variability can affect WMH volume in these patients.Methods: This cross-sectional study investigated the associations of WMH with cognitive function and instrumental ADL (IADL), as well as metabolic and vascular risk factors in a total of 178 elderly patients with diabetes. The study assessed WMH volumes and the functional status of cognition and IADL. WMH volumes were evaluated by obtaining axial T2-weighted and fluid-attenuated inversion recovery sequence images on brain magnetic resonance imaging and assessing the images using Software for Neuro-Image Processing in Experimental Research.Results: We found a significant association between WMH volumes and Mini-Mental State Examination (MMSE) scores (p = 0.039) and between WMH and IADL status (p = 0.006). Furthermore, we found significant relations of large WMH volumes with a high glycoalbumin/glycohemoglobin ratio (GA/HbA1c) (p < 0.001). Large WMH volumes were also found to be associated with a low body mass index (p = 0.014) and a low diastolic blood pressure (p = 0.024), but not with HbA1c. Multiple regression analysis showed that high GA/HbA1c, which reflects high glucose variability, was a significant determining factor for large WMH volumes. We also found that GA/HbA1c was negatively associated with both MMSE (p = 0.036) and IADL (p < 0.001).Conclusion: GA/HbA1c, which is a marker of glucose variability, was independently associated with WMH volumes, which could lead to the decline of cognition and IADL in elderly patients with DM.

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Section: Discussioncontrasting

confidence: 99%

White Matter Hyperintensity in Elderly Patients with Diabetes Mellitus Is Associated with Cognitive Impairment, Functional Disability, and a High Glycoalbumin/Glycohemoglobin Ratio

Tamura

Kimbara

Yamaoka

et al. 2017

Front. Aging Neurosci.

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“…Hip, cm, mean (SD) 88.8 (6.6) 94.1 (6.2) 98.3 (6.6) 100.0 (8.5) 88.2 (6.3) 96.6 (6.6) 90.4 (6.8) 93.6 (7.9) (Klein et al, 2016), which is in accordance with the findings by Pasha (Pasha et al, 2017) and Kharabian (Kharabian et al, 2016). Our results, which higher NC, higher BMI, and WHR were associated with the increased prevalence of cognitive impairment, were consistent with the results from aforementioned studies (Kharabian et al, 2016;Liu et al, 2015).…”

Section: Discussionsupporting

confidence: 91%

Association of neck circumference and cognitive impairment among Chinese elderly

Chen

Jiang

et al. 2018

Brain and Behavior

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ObjectivesTo investigate the association between neck circumference (NC) and cognitive impairment and interactions between relevant variables to the risk of cognitive impairment.MethodsA population‐based survey was conducted among elderly inhabitants aged 60 years and over from a community in Shanghai suburb. Multivariate logistic regression analyses were performed to evaluate associations and log likelihood ratio tests to examine interactions.ResultsCognitive impairment was identified in 269 (10.8%) subjects from 2,500 participants. Higher BMI (OR = 1.55; 95% CI = 1.11–2.16), higher WHR (OR = 1.44; 95% CI = 1.07–1.95), and higher total cholesterol (TC) (OR = 1.52; 95% CI = 1.09–2.13) were significantly associated with the increased risk of cognitive impairment. Significant interactions were observed between TC and a few other relevant variables, respectively.Conclusions NC was associated with the high risk of cognitive impairment. Additive effects of NC with TC on cognitive impairment were observed.

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“…This was because WMH is known to have myelin loss as an underlying pathology and the occurrence of this is higher in obese individuals. 38 In addition to the analysis of the BMI dependency, we also investigated the influence of obesity on the cortical GM. For this, VBM was used to examine whether or not the same regions are altered in volume and with quantitative MR parameters (P < 0.001 uncorrected, and with P < 0.05 for the familywise error correction).…”

Section: Discussionmentioning

confidence: 99%

Increasing body mass index in an elderly cohort: Effects on the quantitative MR parameters of the brain

Schall¹,

Iordanishvili²,

Mauler³

et al. 2019

Magnetic Resonance Imaging

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Background Body mass index (BMI) is increasing in a large number of elderly persons. This increase in BMI is known to put one at risk for many "diseases of aging," although less is known about how a change in BMI may affect the brains of the elderly. Purpose To investigate the relationship between BMI and quantitative water content, T1, T2*, and the semi‐quantitative magnetization transfer ratio (MTR) of various structures in elderly brains. Study Type Cross‐sectional. Subjects Forty‐two adults (BMI range: 19.1–33.5 kg/m2, age range: 58–80 years). Field Strength 3T MRI (two multi‐echo gradient echoes, actual flip angle imaging, magnetization prepared rapid gradient echo, fluid attenuated inversion recovery). Assessment The 3D two‐point method was used to derive (semi‐)quantitative parameters in global white (WM) and gray matter (GM) and their regions as defined by the Johns Hopkins University and the Montreal Neurological Institute atlases. Statistical Tests Multivariate linear regression with BMI as principal regressor, corrected for the additional regressors age, gender, and glycated hemoglobin. Spearman correlation between quantitative parameters of the regions showing significant changes and the lipid spectra / C‐reactive protein (CRP). Voxel‐based morphometry and analysis of covariance (ANCOVA) to explore changes in the GM volume. Results T1 increased significantly (P < 0.05) in the frontal, temporal, and parietal cortices, while the bilateral corona radiata, right superior longitudinal fasciculus, as well as the corpus callosum showed significant changes in the WM regions. T2* increased significantly in the global WM and left corona radiata. Changes in MTR and the free water content did not reach significance. No significant correlation between any quantitative parameter and the lipid spectra or CRP could be identified. Data Conclusion These results suggest that an elevated BMI predominantly affects T1 in WM as well as GM structures in the elderly human brain. Level of Evidence: 3 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2020;51:514–523.

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Visceral adiposity predicts subclinical white matter hyperintensities in middle-aged adults

Cited by 26 publications

References 45 publications

White Matter Hyperintensity in Elderly Patients with Diabetes Mellitus Is Associated with Cognitive Impairment, Functional Disability, and a High Glycoalbumin/Glycohemoglobin Ratio

White Matter Hyperintensity in Elderly Patients with Diabetes Mellitus Is Associated with Cognitive Impairment, Functional Disability, and a High Glycoalbumin/Glycohemoglobin Ratio

Association of neck circumference and cognitive impairment among Chinese elderly

Increasing body mass index in an elderly cohort: Effects on the quantitative MR parameters of the brain

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