Abstract

With several therapeutic strategies for facioscapulohumeral muscular dystrophy (FSHD) entering clinical testing, outcome measures are becoming increasingly important. Considering the spatiotemporal nature of FSHD disease activity, clinical trials would benefit from non-invasive imaging-based biomarkers that can predict FSHD-associated transcriptome changes. This study investigated two FSHD-associated transcriptome signatures (DUX4 and PAX7 signatures) in FSHD skeletal muscle biopsies, and tested their correlation with a variety of disease-associated factors, including Ricci clinical severity score, disease duration, D4Z4 repeat size, muscle pathology scorings and functional outcome measures. It establishes that DUX4 and PAX7 signatures both show a sporadic expression pattern in FSHD-affected biopsies, possibly marking different stages of disease. This study analyzed two imaging-based biomarkers—Turbo Inversion Recovery Magnitude (TIRM) hyperintensity and fat fraction—and provides insights into their predictive power as non-invasive biomarkers for FSHD signature detection in clinical trials. Further insights in the heterogeneity of—and correlation between—imaging biomarkers and molecular biomarkers, as provided in this study, will provide important guidance to clinical trial design in FSHD. Finally, this study investigated the role of infiltrating non-muscle cell types in FSHD signature expression and detected potential distinct roles for two fibro-adipogenic progenitor subtypes in FSHD.

Details

Title
Facioscapulohumeral dystrophy transcriptome signatures correlate with different stages of disease and are marked by different MRI biomarkers
Author
van den Heuvel Anita 1 ; Lassche Saskia 2 ; Mul Karlien 3 ; Greco, Anna 3 ; San León Granado David 4 ; Heerschap Arend 5 ; Küsters Benno 6 ; Tapscott, Stephen J 7 ; Voermans Nicol C 3 ; van Engelen Baziel G M 3 ; van der Maarel Silvère M 1 

 Leiden University Medical Center, Department of Human Genetics, Leiden, The Netherlands (GRID:grid.10419.3d) (ISNI:0000000089452978) 
 Zuyderland Medical Center, Department of Neurology, Heerlen, The Netherlands (GRID:grid.416905.f) 
 Radboud University Medical Center, Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands (GRID:grid.10417.33) (ISNI:0000 0004 0444 9382) 
 National Center of Biotechnology (CNB-CSIC), Department of Systems Biology, Madrid, Spain (GRID:grid.428469.5) (ISNI:0000 0004 1794 1018) 
 Radboud University Medical Center, Department of Radiology, Nijmegen, The Netherlands (GRID:grid.10417.33) (ISNI:0000 0004 0444 9382) 
 Radboud University Medical Center, Department of Pathology, Nijmegen, The Netherlands (GRID:grid.10417.33) (ISNI:0000 0004 0444 9382) 
 Fred Hutchinson Cancer Research Center, Division of Human Biology, Seattle, USA (GRID:grid.270240.3) (ISNI:0000 0001 2180 1622) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2622861340
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.