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Inflammatory myopathies: A new landscape.

Alain Meyer1, Béatrice Lannes2, Joëlle Goetz3

  • 1Service de physiologie et d'explorations fonctionnelles, hôpitaux universitaires de Strasbourg, 67000 Strasbourg, France; Service de rhumatologie, hôpitaux universitaires de Strasbourg, 67000 Strasbourg, France; Centre de référence des maladies auto-immunes rares, hôpitaux universitaires de Strasbourg, 67000 Strasbourg, France; Fédération de médecine translationnelle de Strasbourg, université de Strasbourg, 67000 Strasbourg, France.

Joint Bone Spine
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Summary
This summary is machine-generated.

Inflammatory myopathies (IMs) are a diverse group of conditions. Advances in diagnosis and understanding of IMs aid in personalized treatment and developing targeted therapies.

Keywords:
DermatomyositisInclusion body myopathiesInclusion body myositisInflammatory muscle diseaseMyositisNecrotizing autoimmune myositis

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Area of Science:

  • Rheumatology and Immunology
  • Neurology and Musculoskeletal Diseases

Background:

  • Inflammatory myopathies (IMs) are recognized as a heterogeneous group of diseases, akin to inflammatory rheumatic conditions.
  • Significant variations exist in IMs regarding disease presentation, severity, and progression, with distinct histological profiles suggesting diverse pathophysiological underpinnings.
  • IMs frequently manifest as systemic connective tissue diseases impacting multiple organs, including skin, joints, and lungs, with extramuscular symptoms potentially preceding muscle involvement.

Purpose of the Study:

  • To highlight the heterogeneity of inflammatory myopathies (IMs) and the importance of accurate classification.
  • To underscore the role of autoantibodies and distinct clinical-histological profiles in understanding IM subtypes.
  • To emphasize how advances in nosology improve diagnosis, treatment personalization, and understanding of IMs.

Main Methods:

  • Analysis of clinical descriptions, muscle histology, and immunology.
  • Identification and characterization of autoantibodies and associated clinical syndromes.
  • Review of current classification challenges and proposed subgrouping strategies.

Main Results:

  • At least five distinct histological profiles identified within IMs, reflecting varied pathophysiological processes.
  • Over 20 autoantibodies identified, with specific antibodies correlating to distinct clinical manifestations and syndromes (e.g., antisynthetase syndrome).
  • Clinical features, autoantibody profiles, and histology enable differentiation of IM patient subgroups with predictable outcomes and treatment responses.

Conclusions:

  • Current classification of IMs lacks consensus, but clinical, serological, and histological data allow for meaningful patient subgrouping.
  • Subgrouping facilitates personalized treatment strategies, improved understanding of disease mechanisms, and prediction of complications and outcomes.
  • Advances in IM nosology are crucial for developing targeted therapies and improving patient management.