alexa Factors Associated with Brain Atrophy Estimated with Automatic Voxel- Based Morphometry of Structural Magnetic Resonance Images in Elderly Diabetic Patients: Impact of Albuminuria on Hippocampal Atrophy
ISSN: 2155-6156

Journal of Diabetes & Metabolism
Open Access

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Research Article

Factors Associated with Brain Atrophy Estimated with Automatic Voxel- Based Morphometry of Structural Magnetic Resonance Images in Elderly Diabetic Patients: Impact of Albuminuria on Hippocampal Atrophy

Takahiko Kawamura1,2*, Toshitaka Umemura3, Rui Imamine1, Hiroyuki Umegaki4, Naoko Kawano4,5, Asako Mizoguchi1, Mariko Kawai1, Makiko Minatoguchi1, Minoru Kusama1, Yu Kouchi1, Atsuko Watarai2, Akio Kanai2, Eitaro Nakashima1 and Nigishi Hotta1

1Department of Diabetes and Endocrine Internal Medicine, Chubu Rosai Hospital, Nagoya, Japan

2Center for Preventive Medicine, Chubu Rosai Hospital, Nagoya, Japan

3Department of Neurology, Chubu Rosai Hospital, Nagoya, Japan

4Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan

5Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan

*Corresponding Author:
Takahiko Kawamura
Center for Preventive Medicine
Chubu Rosai Hospital, 1-10-6 Komei
Minato-ku, Nagoya 455-8530, Japan
Tel: +81-52-652-5511
Fax: +81-52-651-5567
E-mail: [email protected]

Received date: October 21, 2014; Accepted date: December 26, 2014; Published date: December 31, 2014

Citation: Kawamura T, Umemura T, Imamine R, Umegaki H, Kawano N, et al. (2015) Factors Associated with Brain Atrophy Estimated with Automatic Voxel- Based Morphometry of Structural Magnetic Resonance Images in Elderly Diabetic Patients: Impact of Albuminuria on Hippocampal Atrophy. J Diabetes Metab 6:491. doi: 10.4172/2155-6156.1000491

Copyright: ©2015 Kawamura T, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

Background: We investigated what factors were associated with brain atrophy in elderly patients with type 2 diabetes.

Methods: We evaluated hippocampal and whole brain atrophy with automatic voxel-based morphometry of structural magnetic resonance image (MRI), voxel-based specific analysis regional analysis for Alzheimer’s disease (VSRAD), in 70 diabetic subjects and 35 non-diabetic subjects. Cognitive function tests – MMSE, word recall (immediate and delayed), Digit Symbol Substitution test (DSST), and Stroop Color Word (Stroop) test were performed. Cerebral small vessel disease (SVD) was diagnosed as silent brain infarct and white matter lesions (WMLs) according to MRI.

Results: Significantly stronger hippocampal and whole brain atrophy were observed in diabetic patients than non-diabetic subjects. The levels of glycosylated hemoglobin A1c were significantly correlated with indices of hippocampal and whole brain atrophy. In diabetic subjects, hippocampal atrophy was independently associated with age, albuminuria, serum intercellular adhesion molecules -1 levels and lower diastolic blood pressure, while whole brain atrophy was associated with age and subcortical WMLs grade. Regarding an association between albuminuria and brain atrophy, significant hippocampal and whole brain atrophy were found in patients with albuminuria after adjusting for confounders. Hippocampal atrophy was independently associated with word recall and Stroop test after adjustment, while whole brain atrophy was also associated with word recall, DSST, and Stroop test, although the association weakened after adding degree of SVD to the variables.

Conclusions: Albuminuria was an independent risk factor for brain atrophy, especially hippocampal atrophy, which was associated with cognitive impairment, suggesting that the management of albuminuria may prevent progression of brain atrophy resulting in cognitive decline. In addition, the usefulness of VSRAD to support diagnosis of cognitive decline associated with brain atrophy was shown in daily clinical setting.

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