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Idiopathic inflammatory myopathies: current insights and future frontiers.
Connolly, Caoilfhionn M; Gupta, Latika; Fujimoto, Manabu; Machado, Pedro M; Paik, Julie J.
Affiliation
  • Connolly CM; Division of Rheumatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Gupta L; Department of Rheumatology, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, UK; Division of Musculoskeletal and Dermatological Sciences, Centre for Musculoskeletal Research, School of Biological Sciences, The University of Manchester, Manchester, UK; Department of Rheumatology, City Hospital
  • Fujimoto M; Department of Dermatology, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Machado PM; Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, UK; Centre for Rheumatology, University College London, London, UK; National Institute for Health and Care Research University College London Hospitals Biomedical Research Centre, Univer
  • Paik JJ; Division of Rheumatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: jpaik1@jhmi.edu.
Lancet Rheumatol ; 6(2): e115-e127, 2024 Feb.
Article in En | MEDLINE | ID: mdl-38267098
ABSTRACT
Idiopathic inflammatory myopathies are a group of autoimmune diseases with a broad spectrum of clinical presentations, primarily characterised by immune-mediated muscle injury. Until recently, there was little insight into the pathogenesis of idiopathic inflammatory myopathies, which challenged the recognition of the breadth of heterogeneity of this group of diseases as well as the development of new therapeutics. However, the landscape of idiopathic inflammatory myopathies is evolving. In the past decade, advances in diagnostic tools have facilitated an enhanced understanding of the underlying disease mechanisms in idiopathic inflammatory myopathies, enabling the expansion of therapeutic trials. The fields of transcriptomics, prot§eomics, and machine learning offer the potential to gain greater insights into the underlying pathophysiology of idiopathic inflammatory myopathies. Harnessing insights gained from these sophisticated tools could contribute to the identification of differences at a molecular level among patients, accelerating the development of targeted, tailored therapies. Bolstered by the validation and standardisation of robust outcome measures, many promising therapies are in clinical trial development. Although challenges remain, there is great optimism in the field due to the progress in innovative diagnostics, outcome measures, and therapeutic approaches. In this Review, we discuss the expanding landscape of idiopathic inflammatory myopathies as the frontier of precision medicine becomes imminent.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Autoimmune Diseases / Myositis Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Lancet Rheumatol Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Autoimmune Diseases / Myositis Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Lancet Rheumatol Year: 2024 Document type: Article