ArticlePloS one2012
Different molecular signatures in magnetic resonance imaging-staged facioscapulohumeral muscular dystrophy muscles.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 3 of them syntheses that pooled it.
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Who cites it
80 citing papers in PubMed, 3 syntheses or guidelines pooled it, 136 citations in OpenAlex.
- Meta-analysis towards FSHD reveals misregulation of neuromuscular junction, nuclear envelope, and spliceosome.Communications biology · 2024Pooled it
- FSHD muscle shows perturbation in fibroadipogenic progenitor cells, mitochondrial function and alternative splicing independently of inflammation.Human molecular genetics · 2024Pooled it
- Comprehensive multi-cohort transcriptional meta-analysis of muscle diseases identifies a signature of disease severity.Scientific reports · 2022Pooled it
- Autoimmune Comorbidities as Modifiers of Phenotypic Heterogeneity in Facioscapulohumeral Dystrophy.Annals of clinical and translational neurology · 2026Article
- Sphingolipid Remodeling and Extracellular Vesicle Signatures Reflect Disease Severity in Facioscapulohumeral Dystrophy Driven by Mitochondrial Dysfunction and Endoplasmic Reticulum Stress.Antioxidants (Basel, Switzerland) · 2026Article
- PhenoMapR: scalable mapping of sample phenotypes to single-cell, spatial, and bulk transcriptomics data.bioRxiv : the preprint server for biology · 2026Article
- Elevated labile iron contributes to membrane repair deficits in facioscapulohumeral muscular dystrophy.iScience · 2026Article
- Time-efficient coronal MRI reflects clinical and pathological features of myopathies.Journal of neuromuscular diseases · 2026Article
- Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD.Annals of clinical and translational neurology · 2026Article
- Immunohistological and electron microscopy profile of unique TIRM-MRI guided muscle biopsies of FSHD patients.Journal of neuromuscular diseases · 2026Article
- RNA cargo profiling of muscle extracellular vesicles identifies candidate biomarkers of disease activity and muscle degeneration in FSHD.Journal of translational medicine · 2026Article
- Muscle Imaging in Inclusion Body Myositis: Refinement of MRI Criteria and Insights Into Upper Body Involvement.Journal of cachexia, sarcopenia and muscle · 2026Article
- Interleukin-6 as a Key Biomarker in Facioscapulohumeral Dystrophy: Evidence From Longitudinal Analyses.Annals of clinical and translational neurology · 2026Article
- Biallelic PAX7 variants cause a novel Satellite Cell-opathy with progressive muscle involvement resembling facioscapulohumeral muscular dystrophy.Cell death & disease · 2026Article
- Dynamic MR of Muscle Contraction During Electrical Muscle Stimulation: Potential Application to the Evaluation of Neuromuscular Diseases.NMR in biomedicine · 2025Article
- Matrix metalloproteinases are hallmark early biomarkers and therapeutic targets in FSHD.JCI insight · 2025Article
- Dysferlin and the Regulation of CaCells · 2025Review
- From fibro/adipogenic progenitors to adipocytes: Understanding adipogenesis in muscle degeneration for disease modulation.The Journal of physiology · 2025Review
- DUX4 at 25: how it emerged from "junk DNA" to become the cause of facioscapulohumeral muscular dystrophy.Skeletal muscle · 2025Review
- Multi-scale machine learning model predicts muscle and functional disease progression.Scientific reports · 2025Article
20 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFacioscapulohumeral muscular dystrophy (FSHD) is one of the most common muscular dystrophies and is characterized by a non-conventional genetic mechanism activated by pathogenic D4Z4 repeat contractions. By muscle Magnetic Resonance Imaging (MRI) we observed that T2-short tau inversion recovery (T2-STIR) sequences identify two different conditions in which each muscle can be found before the irreversible dystrophic alteration, marked as T1-weighted sequence hyperintensity, takes place. We studied these conditions in order to obtain further information on the molecular mechanisms involved in the selective wasting of single muscles or muscle groups in this disease.
methodsHistopathology, gene expression profiling and real time PCR were performed on biopsies from FSHD muscles with different MRI pattern (T1-weighted normal/T2-STIR normal and T1-weighted normal/T2-STIR hyperintense). Data were compared with those from inflammatory myopathies, dysferlinopathies and normal controls. In order to validate obtained results, two additional FSHD samples with different MRI pattern were analyzed.
resultsMyopathic and inflammatory changes characterized T2-STIR hyperintense FSHD muscles, at variance with T2-STIR normal muscles. These two states could be easily distinguished from each other by their transcriptional profile. The comparison between T2-STIR hyperintense FSHD muscles and inflammatory myopathy muscles showed peculiar changes, although many alterations were shared among these conditions.
conclusionsAt the single muscle level, different stages of the disease correspond to the two MRI patterns. T2-STIR hyperintense FSHD muscles are more similar to inflammatory myopathies than to T2-STIR normal FSHD muscles or other muscular dystrophies, and share with them upregulation of genes involved in innate and adaptive immunity. Our data suggest that selective inflammation, together with perturbation in biological processes such as neoangiogenesis, lipid metabolism and adipokine production, may contribute to the sequential bursts of muscle degeneration that involve individual muscles in an asynchronous manner in this disease.
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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.