Differences between normal and diabetic brains in middle-aged rats by MRI.

Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 0045503 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-6240 (Electronic) Linking ISSN: 00068993 NLM ISO Abbreviation: Brain Res Subsets: MEDLINE

Original Publication: Amsterdam Elsevier/North-Holland Biomedical Press.

Aging/*pathology ; Brain/*metabolism ; Diabetes Mellitus, Type 2/*physiopathology; Age Factors ; Animals ; Anisotropy ; Brain/physiopathology ; Diabetes Mellitus, Experimental/chemically induced ; Diabetes Mellitus, Experimental/physiopathology ; Diabetes Mellitus, Type 2/metabolism ; Diffusion Magnetic Resonance Imaging/methods ; Diffusion Tensor Imaging/methods ; Disease Models, Animal ; Gray Matter ; Magnetic Resonance Imaging/methods ; Male ; Rats ; Rats, Wistar ; Streptozocin/pharmacology ; White Matter

Normal aging is a risk factor for metabolic disorders such as diabetes, and diabetes is also a recognized cause of accelerated aging. Being able to distinguish changes caused by normal aging from those caused by diabetes, would provide insight into how the aging brain interacts with diabetes. Eight types of MRI metric maps (magnetization relaxation time constants of T 1 and T 2 , cerebral blood flow, cerebrovascular permeability, mean diffusivity, diffusion fractional anisotropy, mean diffusion kurtosis and diffusion directional entropy) were generated for all rats from the three groups of normal young, healthy and 1.5-month diabetic middle-aged rats under investigation. Measurements of multiple MRI indices of cerebral white and gray matter from animals of the three groups provide complementary results and insight into differences between healthy and diabetic white / gray matter in the mid-aged rats. Our data indicate that MRI may distinguish between the normal and diabetes in mid-aged rat brains by measuring either T 1 and T 2 of gray matter, or fractional anisotropy of white matter and gray matter. Therefore, MRI can distinguish changes of cerebral tissue due to the normal aging from diabetic aging, which may lead to be able to better understand how diabetes accelerates aging in normal brain.
(Copyright © 2019. Published by Elsevier B.V.)

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RF1 AG057494 United States AG NIA NIH HHS; R01 NS108463 United States NS NINDS NIH HHS; R01 NS064134 United States NS NINDS NIH HHS; R21 AG052735 United States AG NIA NIH HHS; R01 NS079612 United States NS NINDS NIH HHS

Keywords: Aging; Diabetes; Gray matter; Magnetic resonance imaging; Rat; White matter

5W494URQ81 (Streptozocin)

Date Created: 20190830 Date Completed: 20201029 Latest Revision: 20210426

20221213

PMC8063608

10.1016/j.brainres.2019.146407

31465773