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Use of microarrays in the clinical practice of pediatric rheumatology: the future is now?

AbstractPURPOSE OF REVIEW:
Systems immunology is an integrative approach that leverages high throughput technologies as well as mathematical and computational tools to investigate complex immunologic diseases by looking at the state of a system on a comprehensive scale. Gene expression profiling, also known as transcriptomics, measures the expression level of mRNAs (transcripts) in a given cell population at a specific time. Over the past decade, several major gene expression discoveries have been made in pediatric rheumatology, most notably the alpha interferon signature of systemic lupus erythematosus and the interleukin-1 signature in systemic onset juvenile idiopathic arthritis. This article reviews these discoveries, their clinical implications and the recent associated literature.
RECENT FINDINGS:
Interferon-α has been exploited as a therapeutic target in lupus. Interleukin-1 blockade has been utilized to treat systemic onset juvenile idiopathic arthritis and related autoinflammatory diseases.
SUMMARY:
Current gene expression studies extend our understanding of the disease pathogenesis of lupus and systemic onset juvenile idiopathic arthritis as well as related conditions. This knowledge has translated to the bedside with implications for clinical practice and direct therapeutic targeting.
AuthorsMarilynn Punaro
JournalCurrent opinion in rheumatology (Curr Opin Rheumatol) Vol. 26 Issue 5 Pg. 585-91 (Sep 2014) ISSN: 1531-6963 [Electronic] United States
PMID25014037 (Publication Type: Journal Article, Review)
Chemical References
  • Interferon Type I
  • Interleukin-1
Topics
  • Arthritis, Juvenile (genetics, immunology, therapy)
  • Child
  • Gene Expression Profiling
  • Humans
  • Interferon Type I (antagonists & inhibitors, genetics)
  • Interleukin-1 (antagonists & inhibitors, genetics)
  • Lupus Erythematosus, Systemic (genetics, immunology, therapy)
  • Oligonucleotide Array Sequence Analysis (methods)
  • Rheumatology (methods, trends)
  • Systems Biology

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