Alexander disease (AxD) is a rare, but devastating disease that affects neural development and causes ataxia, seizures, mental retardation, and many more. Previous studies have shown that specific nervous system cells called astrocytes are abnormal in AxD patients, which is caused by a mutation of glial fibrillary acidic protein (GFAP), a protein expressed exclusively in astrocytes within the brain. Astrocytes support both nerve cell growth and function, so the defects in AxD astrocytes are thought to lead to the nervous system defects. The over-expression and accumulation of this mutant protein leads to the formation of astrocytic inclusion bodies (Rosenthal fibers) that are present throughout the central nervous system in large numbers of AxD patients. Although genetic testing is available for AxD, it is significant to 3-dimensionally (3-D) assess various regional and global brain pathology and their clinical courses to identify multiple types of AxD, which would be a basis for a prediction of clinical courses and a better treatment for various types of AxD in the future. However, using non-invasive MRI techniques, detection of structural connections in abnormal white and gray matter remains elusive due to complex pathological phenomena that affect MRI contrast and diffusion properties of the pathologic regions. High-angular resolution diffusion MR imaging (HARDI) is useful to resolve complex fiber pathways in the brain, and we have recently further optimized this technique to resolve detailed coherent and crossing structures even in tissues with low fractional anisotropy which is useful to detect pathways through pathologic brain regions. In a radiological point of view, AxD can be a very important, informative model where we are able to test what exactly diffusion MRI tractography suggests us when interpreting clinical MRI findings of abnormal brain pathways. Diffusion MRI just measures the diffusivity of water molecules, and although there is a rough consensus what can be seen in healthy adult brains, there is still a great debate about what can be detected in pathologic brains using diffusion MRI. Although many studies conducted histological correlation of MR DTI, it is still unknown what can be seen in AxD with regional astrocytes abnormalities using diffusion MRI. To this end, in this R03, we propose to perform diffusion and structural MRI scans with histological confirmation on brains with AxD (infantile, juvenile, and adult forms) obtained from the University of Maryland Brain and Tissue Bank. We believe that our approach will be the first step to assess overall detailed pathology of the AxD brain, which can be useful for a greater understanding of AxD, and potentially for other protein aggregate disorders, for example Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis.

Public Health Relevance

The primary goal of the proposed research is to detect specific aberrant patterns of axonal pathways and glial organization in brain specimens with Alexander disease (AxD). Our technique and experience in the imaging of aberrant fiber pathways will be useful for the exploratory 3-dimensional assessment of brains with AxD, which could lead to more efficient understanding for regional brain pathology and clinical courses of AxD, and potentially to future fetal MRI testing for families who have previously had an affected child. We believe that better understanding of the histopathology that is reflected in MRI helps making the imaging more predictive of the severity and course of a disease, and the information and tools developed under this proposal will facilitate future assessment of patients with AxD and can be used as a guide for potential gene therapies for AxD and other brain disorders.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Small Research Grants (R03)
Project #
1R03NS101372-01A1
Application #
9527970
Study Section
Clinical Neuroscience and Neurodegeneration Study Section (CNN)
Program Officer
Morris, Jill A
Project Start
2018-03-01
Project End
2020-02-29
Budget Start
2018-03-01
Budget End
2019-02-28
Support Year
1
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Boston Children's Hospital
Department
Type
DUNS #
076593722
City
Boston
State
MA
Country
United States
Zip Code
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