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Evidence for altered neurodevelopment and neurodegeneration in Wolfram syndrome using longitudinal morphometry.

Scientific reports | 2019

Wolfram syndrome is a rare disease caused by mutations in the WFS1 gene leading to symptoms in early to mid-childhood. Brain structural abnormalities are present even in young children, but it is not known when these abnormalities arise. Such information is critical in determining optimal outcome measures for clinical trials and in understanding the aberrant neurobiological processes in Wolfram syndrome. Using voxel-wise and regional longitudinal analyses, we compared brain volumes in Wolfram patients (n = 29; ages 5-25 at baseline; mean follow-up = 3.6 years), to age and sex-equivalent controls (n = 52; ages 6-26 at baseline; mean follow-up = 2.0 years). Between groups, white and gray matter volumes were affected differentially during development. Controls had uniformly increasing volume in white matter, whereas the Wolfram group had stable (optic radiations) or decreasing (brainstem, ventral pons) white matter volumes. In gray matter, controls had stable (thalamus, cerebellar cortex) or decreasing volumes (cortex), whereas the Wolfram group had decreased volume in thalamus and cerebellar cortex. These patterns suggest that there may be early, stalled white matter development in Wolfram syndrome, with additional degenerative processes in both white and gray matter. Ideally, animal models could be used to identify the underlying mechanisms and develop specific interventions.

Pubmed ID: 30979932 RIS Download

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Associated grants

  • Agency: NCRR NIH HHS, United States
    Id: UL1 RR024992
  • Agency: NICHD NIH HHS, United States
    Id: U54 HD087011
  • Agency: NICHD NIH HHS, United States
    Id: R01 HD070855
  • Agency: NIDDK NIH HHS, United States
    Id: P60 DK020579
  • Agency: NIDDK NIH HHS, United States
    Id: P30 DK020579
  • Agency: NCATS NIH HHS, United States
    Id: UL1 TR002345

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FreeSurfer (tool)

RRID:SCR_001847

Open source software suite for processing and analyzing human brain MRI images. Used for reconstruction of brain cortical surface from structural MRI data, and overlay of functional MRI data onto reconstructed surface. Contains automatic structural imaging stream for processing cross sectional and longitudinal data. Provides anatomical analysis tools, including: representation of cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from rest of brain, skull stripping, B1 bias field correction, nonlinear registration of cortical surface of individual with stereotaxic atlas, labeling of regions of cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures.Operating System: Linux, macOS.

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