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Muscle Spatial Transcriptomic Reveals Heterogeneous Profiles in Juvenile Dermatomyositis and Persistence of Abnormal
Margot Tragin1, Séverine A Degrelle2, Baptiste Periou3
1Bioinformatics Facilities Imagine Institute, SFR Necker, 75015 Paris, France.
Cells
|June 25, 2025
Summary
Juvenile dermatomyositis (JDM) muscle shows distinct molecular signatures, including myofibrillar stress and interferon signaling. These pathological signatures persist even after treatment, suggesting potential for relapse prediction.
Area of Science:
- Muscle biology
- Immunology
- Genetics
Background:
- Juvenile dermatomyositis (JDM) is an autoimmune disease affecting muscles.
- Understanding the molecular basis of JDM muscle pathology is crucial for effective treatment and management.
Purpose of the Study:
- To investigate the spatial heterogeneity of molecular signatures in JDM muscle before and after treatment.
- To identify novel genes and pathways associated with JDM pathophysiology.
- To explore the potential of these signatures as biomarkers for disease relapse.
Main Methods:
- Spatial transcriptomics and standardized morphometry were used on JDM muscle biopsies.
- Unsupervised reference-free deconvolution identified molecular signatures.
- Signatures were scored in biopsies from before and after remission.
Main Results:
- A normal muscle signature related to mitochondrial biology disappeared in JDM patients.
- Three pathological signatures were identified: "myofibrillar stress", "muscle remodeling", and "interferon signaling".
- The "myofibrillar stress" signature correlated with disease severity, while "muscle remodeling" was linked to a better outcome. Novel genes ANKRD1 and FSLT1 were identified.
- Pathological signatures persisted in muscle tissue two years after remission.
Conclusions:
- JDM muscle exhibits spatially distinct molecular signatures.
- These signatures, particularly "myofibrillar stress" and "interferon signaling", persist post-treatment.
- Persistent signatures may serve as biomarkers for predicting JDM relapse and understanding disease pathophysiology.

