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Review
. 2017 Aug;13(8):463-475.
doi: 10.1038/nrrheum.2017.115. Epub 2017 Jul 13.

Synovial tissue research: a state-of-the-art review

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Free article
Review

Synovial tissue research: a state-of-the-art review

Carl Orr et al. Nat Rev Rheumatol. 2017 Aug.
Free article

Erratum in

  • Synovial tissue research: a state-of-the-art review.
    Orr C, Vieira-Sousa E, Boyle DL, Buch MH, Buckley CD, Cañete JD, Catrina AI, Choy EHS, Emery P, Fearon U, Filer A, Gerlag D, Humby F, Isaacs JD, Just SA, Lauwerys BR, Le Goff B, Manzo A, McGarry T, McInnes IB, Najm A, Pitzalis C, Pratt A, Smith M, Tak PP, Thurlings R, Fonseca JE, Veale DJ. Orr C, et al. Nat Rev Rheumatol. 2017 Sep 22;13(10):630. doi: 10.1038/nrrheum.2017.161. Nat Rev Rheumatol. 2017. PMID: 28935945
  • Corrigendum: Synovial tissue research: a state-of-the-art review.
    Orr C, Vieira-Sousa E, Boyle DL, Buch MH, Buckley CD, Cañete JD, Catrina AI, Choy EHS, Emery P, Fearon U, Filer A, Gerlag D, Humby F, Isaacs JD, Just SA, Lauwerys BR, Goff BL, Manzo A, McGarry T, McInnes IB, Najm A, Pitzalis C, Pratt A, Smith M, Tak PP, Tas SW, Thurlings R, Fonseca JE, Veale DJ. Orr C, et al. Nat Rev Rheumatol. 2017 Dec 19;14(1):60. doi: 10.1038/nrrheum.2017.206. Nat Rev Rheumatol. 2017. PMID: 29255214

Abstract

The synovium is the major target tissue of inflammatory arthritides such as rheumatoid arthritis. The study of synovial tissue has advanced considerably throughout the past few decades from arthroplasty and blind needle biopsy to the use of arthroscopic and ultrasonographic technologies that enable easier visualization and improve the reliability of synovial biopsies. Rapid progress has been made in using synovial tissue to study disease pathogenesis, to stratify patients, to discover biomarkers and novel targets, and to validate therapies, and this progress has been facilitated by increasingly diverse and sophisticated analytical and technological approaches. In this Review, we describe these approaches, and summarize how their use in synovial tissue research has improved our understanding of rheumatoid arthritis and identified candidate biomarkers that could be used in disease diagnosis and stratification, as well as in predicting disease course and treatment response.

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References

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