RA-MAP, molecular immunological landscapes in early rheumatoid arthritis and healthy vaccine recipients

The RA-MAP Consortium, John D. Isaacs*, Sarah Brockbank, Ayako Wakatsuki Pedersen, Catharien Hilkens, Amy Anderson, Philip Stocks, Dennis Lendrem, Jessica Tarn, Graham R. Smith, Ben Allen, John Casement, Julie Diboll, Rachel Harry, Faye A.H. Cooles, Andrew P. Cope, Gemma Simpson, Ruth Toward, Hayley Noble, Angela ParkeWing Wu, Fiona Clarke, David Scott, Ian C. Scott, James Galloway, Heidi Lempp, Fowzia Ibrahim, Samana Schwank, Gemma Molyneux, Tomi Lazarov, Frederic Geissmann, Carl S. Goodyear, Iain B. McInnes, Iona Donnelly, Ashley Gilmour, Aysin Tulunay Virlan, Duncan Porter, Frederique Ponchel, Paul Emery, Jehan El-Jawhari, Rekha Parmar, Michael F. McDermott, Benjamin A. Fisher, Steve P. Young, Philip Jones, Karim Raza, Andrew Filer, Costantino Pitzalis, Michael R. Barnes, David S. Watson, Rafael Henkin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Rheumatoid arthritis (RA) is a chronic inflammatory disorder with poorly defined aetiology characterised by synovial inflammation with variable disease severity and drug responsiveness. To investigate the peripheral blood immune cell landscape of early, drug naive RA, we performed comprehensive clinical and molecular profiling of 267 RA patients and 52 healthy vaccine recipients for up to 18 months to establish a high quality sample biobank including plasma, serum, peripheral blood cells, urine, genomic DNA, RNA from whole blood, lymphocyte and monocyte subsets. We have performed extensive multi-omic immune phenotyping, including genomic, metabolomic, proteomic, transcriptomic and autoantibody profiling. We anticipate that these detailed clinical and molecular data will serve as a fundamental resource offering insights into immune-mediated disease pathogenesis, progression and therapeutic response, ultimately contributing to the development and application of targeted therapies for RA.

Original languageEnglish
Article number196
JournalScientific Data
Volume9
Issue number1
DOIs
Publication statusPublished - Dec 2022

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