Towards Personalized Medicine in Rheumatoid Arthritis

Seema D Sharma, James Bluett

Research output: Contribution to journalReview articlepeer-review

Abstract

Rheumatoid arthritis (RA) is a chronic, incurable, multisystem, inflammatory disease characterized by synovitis and extra-articular features. Although several advanced therapies targeting inflammatory mechanisms underlying the disease are available, no advanced therapy is universally effective. Therefore, a ceiling of treatment response is currently accepted where no advanced therapy is superior to another. The current challenge for medical research is the discovery and integration of predictive markers of drug response that can be used to personalize medicine so that the patient is started on "the right drug at the right time". This review article summarizes our current understanding of predicting response to anti-rheumatic drugs in RA, obstacles impeding the development of personalized medicine approaches and future research priorities to overcome these barriers.

Original languageEnglish
Pages (from-to)89-114
Number of pages26
JournalOpen Access Rheumatology: Research and Reviews
Volume16
DOIs
Publication statusPublished - 18 May 2024

Keywords

  • biomarkers
  • genetics
  • machine learning
  • omics
  • precision medicine

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