Evidence map›Paper›PMID 35082321›Full record

ArticleScientific reports2022

Facioscapulohumeral dystrophy transcriptome signatures correlate with different stages of disease and are marked by different MRI biomarkers.

Anita van den Heuvel, Saskia Lassche, Karlien Mul, Anna Greco, David San León Granado, Arend Heerschap, Benno Küsters, Stephen J Tapscott, Nicol C Voermans, Baziel G M van Engelen and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. Deciphering Facioscapulohumeral Dystrophy in the clinical trials era: where are we now?Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Anita van den Heuvel *Department of Human Genetics, Leiden University Medical Center, Albinusdreef 2, Postal zone S-04-P, 2333 ZA, Leiden, The Netherlands.
Saskia Lassche *Department of Neurology, Zuyderland Medical Center, Heerlen, The Netherlands.
Karlien MulDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
Anna GrecoDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
David San León GranadoDepartment of Systems Biology, National Center of Biotechnology (CNB-CSIC), Madrid, Spain.
Arend HeerschapDepartment of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands.
Benno KüstersDepartment of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Stephen J TapscottDivision of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
Nicol C VoermansDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
Baziel G M van EngelenDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
Silvère M van der MaarelDepartment of Human Genetics, Leiden University Medical Center, Albinusdreef 2, Postal zone S-04-P, 2333 ZA, Leiden, The Netherlands. S.M.van_der_Maarel@lumc.nl.

Funding

The Pathogenesis of Facioscapulohumeral Muscular DystrophyP01NS069539 · NINDS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI TAWIL, RABI · 2010 to 2019
$12.3M
NINDS NIH HHS P01 NS069539NINDS NIH HHS P01NS069539Prinses Beatrix Spierfonds W.OB17-01Prinses Beatrix Spierfonds W.OP14-01Prinses Beatrix Spierfonds W.OR10-30Prinses Beatrix Spierfonds W.OR12-22
6 · The paper itself

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.

Indexed as

TranscriptomeBiomarkersBiopsyCase-Control StudiesFemaleGene Expression ProfilingGene Expression RegulationHomeodomain ProteinsHumansMagnetic Resonance ImagingMaleMiddle AgedMuscle, SkeletalMuscular Dystrophy, FacioscapulohumeralPAX7 Transcription FactorSeverity of Illness IndexBiomarkersDUX4L1 protein, humanHomeodomain ProteinsPAX7 protein, humanPAX7 Transcription Factor

Identifiers

PMID35082321
PMCPMC8791933

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.