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Juvenile dermatomyositis: Latest advances.

Qiong Wu1, Lucy R Wedderburn2, Liza J McCann3

  • 1Infection, Inflammation and Rheumatology Section, University College London Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, United Kingdom.

Best Practice & Research. Clinical Rheumatology
|May 19, 2018
PubMed
Summary

Juvenile dermatomyositis (JDM) research uses registries and biobanks to understand disease causes and outcomes. Identifying predictive factors and novel treatments is crucial for improving care in this rare autoimmune condition.

Keywords:
BiomarkersIdiopathic inflammatory myopathyImmunogeneticsImmunohistopathologyJuvenile dermatomyositisMyositis autoantibodiesOutcome measurement toolsRegistriesTreatments

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Area of Science:

  • Rheumatology
  • Pediatrics
  • Immunology

Background:

  • Juvenile dermatomyositis (JDM) is a rare, heterogeneous autoimmune disease affecting children.
  • Existing treatments like corticosteroids and DMARDs are not always effective, leading to refractory disease in some patients.
  • Registries and biobanks are vital for advancing research in JDM.

Purpose of the Study:

  • To highlight the importance of registries and biobanks in JDM research.
  • To discuss factors influencing prognosis and personalized treatment strategies.
  • To emphasize the need for ongoing research into immune responses and novel therapeutic targets.

Main Methods:

  • Utilizing data from JDM registries and biobanks.
  • Analyzing genotype, autoantibodies, muscle histology, and early clinical features.
  • Reviewing current treatment guidelines and validated assessment tools.

Main Results:

  • Registries provide statistical power to study JDM pathogenesis, treatment, and outcomes.
  • Predictive factors like genotype and autoantibodies can guide prognosis and personalized therapy.
  • Validated tools standardize the assessment of disease activity across multiple organ systems.

Conclusions:

  • Registries and biobanks are essential for understanding JDM and improving patient outcomes.
  • Personalized medicine approaches, guided by predictive factors and novel research, are key.
  • Standardized data collection and ongoing research are necessary for advancing JDM care.