Literature DB >> 33649422

White matter microstructure relates to motor outcomes in myotonic dystrophy type 1 independently of disease duration and genetic burden.

Timothy R Koscik1, Ellen van der Plas2, Laurie Gutmann3, Sarah A Cumming4, Darren G Monckton4, Vincent Magnotta5, Richard K Shields6, Peggy C Nopoulos2,3,7.   

Abstract

Deficits in white matter (WM) integrity and motor symptoms are among the most robust and reproducible features of myotonic dystrophy type 1 (DM1). In the present study, we investigate whether WM integrity, obtained from diffusion-weighted MRI, corresponds to quantifiable motor outcomes (e.g., fine motor skills and grip strength) and patient-reported, subjective motor deficits. Critically, we explore these relationships in the context of other potentially causative variables, including: disease duration, elapsed time since motor symptom onset; and genetic burden, the number of excessive CTG repeats causing DM1. We found that fractional anisotropy (a measure of WM integrity) throughout the cerebrum was the strongest predictor of grip strength independently of disease duration and genetic burden, while radial diffusivity predicted fine motor skill (peg board performance). Axial diffusivity did not predict motor outcomes. Our results are consistent with the notion that systemic degradation of WM in DM1 mediates the relationship between DM1 progression and genetic burden with motor outcomes of the disease. Our results suggest that tracking changes in WM integrity over time may be a valuable biomarker for tracking therapeutic interventions, such as future gene therapies, for DM1.

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Year:  2021        PMID: 33649422      PMCID: PMC7921687          DOI: 10.1038/s41598-021-84520-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  42 in total

1.  Analysis of unstable triplet repeats using small-pool polymerase chain reaction.

Authors:  Mário Gomes-Pereira; Sanjay I Bidichandani; Darren G Monckton
Journal:  Methods Mol Biol       Date:  2004

2.  Somatic instability of the expanded CTG triplet repeat in myotonic dystrophy type 1 is a heritable quantitative trait and modifier of disease severity.

Authors:  Fernando Morales; Jillian M Couto; Catherine F Higham; Grant Hogg; Patricia Cuenca; Claudia Braida; Richard H Wilson; Berit Adam; Gerardo del Valle; Roberto Brian; Mauricio Sittenfeld; Tetsuo Ashizawa; Alison Wilcox; Douglas E Wilcox; Darren G Monckton
Journal:  Hum Mol Genet       Date:  2012-05-16       Impact factor: 6.150

3.  User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability.

Authors:  Paul A Yushkevich; Joseph Piven; Heather Cody Hazlett; Rachel Gimpel Smith; Sean Ho; James C Gee; Guido Gerig
Journal:  Neuroimage       Date:  2006-03-20       Impact factor: 6.556

4.  Tractography reveals diffuse white matter abnormalities in Myotonic Dystrophy Type 1.

Authors:  Jeffrey R Wozniak; Bryon A Mueller; Kelvin O Lim; Laura S Hemmy; John W Day
Journal:  J Neurol Sci       Date:  2014-04-13       Impact factor: 3.181

5.  A reproducible evaluation of ANTs similarity metric performance in brain image registration.

Authors:  Brian B Avants; Nicholas J Tustison; Gang Song; Philip A Cook; Arno Klein; James C Gee
Journal:  Neuroimage       Date:  2010-09-17       Impact factor: 6.556

6.  Splicing biomarkers of disease severity in myotonic dystrophy.

Authors:  Masayuki Nakamori; Krzysztof Sobczak; Araya Puwanant; Steve Welle; Katy Eichinger; Shree Pandya; Jeannne Dekdebrun; Chad R Heatwole; Michael P McDermott; Tian Chen; Melissa Cline; Rabi Tawil; Robert J Osborne; Thurman M Wheeler; Maurice S Swanson; Richard T Moxley; Charles A Thornton
Journal:  Ann Neurol       Date:  2013-12       Impact factor: 10.422

7.  Brain Involvement in Myotonic Dystrophy Type 1: A Morphometric and Diffusion Tensor Imaging Study with Neuropsychological Correlation.

Authors:  T Cabada; M Iridoy; I Jericó; P Lecumberri; R Seijas; A Gargallo; M Gomez
Journal:  Arch Clin Neuropsychol       Date:  2017-06-01       Impact factor: 2.813

8.  Cognitive impairment in myotonic dystrophy type 1 is associated with white matter damage.

Authors:  Francesca Caso; Federica Agosta; Stojan Peric; Vidosava Rakočević-Stojanović; Massimiliano Copetti; Vladimir S Kostic; Massimo Filippi
Journal:  PLoS One       Date:  2014-08-12       Impact factor: 3.240

9.  Structural white matter networks in myotonic dystrophy type 1.

Authors:  Maud van Dorst; Kees Okkersen; Roy P C Kessels; Frederick J A Meijer; Darren G Monckton; Baziel G M van Engelen; Anil M Tuladhar; Joost Raaphorst
Journal:  Neuroimage Clin       Date:  2018-11-28       Impact factor: 4.881

10.  Relationship of white and gray matter abnormalities to clinical and genetic features in myotonic dystrophy type 1.

Authors:  Stefano Zanigni; Stefania Evangelisti; Maria Pia Giannoccaro; Federico Oppi; Roberto Poda; Antonio Giorgio; Claudia Testa; David Neil Manners; Patrizia Avoni; Laura Ludovica Gramegna; Nicola De Stefano; Raffaele Lodi; Caterina Tonon; Rocco Liguori
Journal:  Neuroimage Clin       Date:  2016-05-03       Impact factor: 4.881

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  3 in total

1.  Blood-Based Markers of Neuronal Injury in Adult-Onset Myotonic Dystrophy Type 1.

Authors:  Ellen van der Plas; Jeffrey D Long; Timothy R Koscik; Vincent Magnotta; Darren G Monckton; Sarah A Cumming; Amy C Gottschalk; Marco Hefti; Laurie Gutmann; Peggy C Nopoulos
Journal:  Front Neurol       Date:  2022-01-20       Impact factor: 4.003

2.  White matter integrity changes and neurocognitive functioning in adult-late onset DM1: a follow-up DTI study.

Authors:  Garazi Labayru; Borja Camino; Antonio Jimenez-Marin; Joana Garmendia; Jorge Villanua; Miren Zulaica; Jesus M Cortes; Adolfo López de Munain; Andone Sistiaga
Journal:  Sci Rep       Date:  2022-03-07       Impact factor: 4.379

3.  Altered Local Brain Amplitude of Fluctuations in Patients With Myotonic Dystrophy Type 1.

Authors:  Pei Huang; Xing-Hua Luan; Zhou Xie; Meng-Ting Li; Sheng-Di Chen; Jun Liu; Xi-Ze Jia; Li Cao; Hai-Yan Zhou
Journal:  Front Aging Neurosci       Date:  2021-12-10       Impact factor: 5.750

  3 in total

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