Evidence map›Paper›PMID 42768935›Full record

ArticleAnnals of clinical and translational neurology2026

Autoimmune Comorbidities as Modifiers of Phenotypic Heterogeneity in Facioscapulohumeral Dystrophy.

Jonathan Pini, Giulia Tammam, Andra Ezaru, Manuela Gambella, Benoît Sanson, Luisa Villa, Michele Cavalli, Mihai-Bogdan Ioncea, Angela Puma, Sabrina Sacconi

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Article in Annals of clinical and translational neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jonathan PiniPeripheral Nervous System and Muscle Department, Nice University Hospital, Pasteur 2 Hospital, Nice, France.
Giulia TammamPeripheral Nervous System and Muscle Department, Nice University Hospital, Pasteur 2 Hospital, Nice, France.
Andra EzaruPeripheral Nervous System and Muscle Department, Nice University Hospital, Pasteur 2 Hospital, Nice, France.
Manuela GambellaPeripheral Nervous System and Muscle Department, Nice University Hospital, Pasteur 2 Hospital, Nice, France.
Benoît SansonPeripheral Nervous System and Muscle Department, Nice University Hospital, Pasteur 2 Hospital, Nice, France.
Luisa VillaPeripheral Nervous System and Muscle Department, Nice University Hospital, Pasteur 2 Hospital, Nice, France.
Michele CavalliPeripheral Nervous System and Muscle Department, Nice University Hospital, Pasteur 2 Hospital, Nice, France.
Mihai-Bogdan IonceaPeripheral Nervous System and Muscle Department, Nice University Hospital, Pasteur 2 Hospital, Nice, France.
Angela PumaPeripheral Nervous System and Muscle Department, Nice University Hospital, Pasteur 2 Hospital, Nice, France.
Sabrina SacconiPeripheral Nervous System and Muscle Department, Nice University Hospital, Pasteur 2 Hospital, Nice, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveFacioscapulohumeral dystrophy type 1 (FSHD1) shows clinical heterogeneity that is only partly explained by D4Z4 repeat unit (RU) size. Although immune and inflammatory mechanisms may contribute to disease variability, the prevalence and clinical impact of autoimmune diseases in FSHD remain unclear. We investigated the spectrum of autoimmune comorbidities in FSHD1 and their relationship with D4Z4 repeat size, clinical phenotype, and disease severity.

methodsWe retrospectively analyzed 299 genetically confirmed FSHD1 patients followed at a national neuromuscular reference center. Clinical severity was assessed using the FSHD score and Comprehensive Clinical Evaluation Form classification. Demographic, genetic, and clinical features were compared according to autoimmune disease status. Multivariable linear regression assessed the independent association between autoimmune disease and FSHD severity, adjusting for age, sex, disease duration, D4Z4 RU number, and clinical phenotype.

resultsEighty-two patients (27.4%) had at least one autoimmune disease, totaling 96 autoimmune conditions. Several autoimmune diseases were markedly overrepresented compared with published population estimates. Patients with autoimmune disease had larger D4Z4 repeat arrays (7.18 ± 1.82 vs. 6.53 ± 1.81 RU, p = 0.002) but higher FSHD severity scores (7.98 ± 3.65 vs. 6.56 ± 3.51, p = 0.003). Autoimmune comorbidities were enriched in patients carrying 7-10 D4Z4 RU. In multivariable analysis, autoimmune disease remained independently associated with greater FSHD severity (β = 2.12, 95% CI 1.47-2.76, p < 0.0001).

conclusionsAutoimmune diseases are frequent in FSHD1 and independently associated with greater severity despite larger D4Z4 repeat arrays, supporting immune-related mechanisms as potential modifiers of FSHD1 expression.

Indexed as

autoimmune diseasesdisease modifiersfacioscapulohumeral muscular dystrophy

Identifiers

PMID42768935
PMCPMC13595050

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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.