TY - JOUR
T1 - RA-MAP, molecular immunological landscapes in early rheumatoid arthritis and healthy vaccine recipients
AU - The RA-MAP Consortium
AU - Isaacs, John D.
AU - Brockbank, Sarah
AU - Pedersen, Ayako Wakatsuki
AU - Hilkens, Catharien
AU - Anderson, Amy
AU - Stocks, Philip
AU - Lendrem, Dennis
AU - Tarn, Jessica
AU - Smith, Graham R.
AU - Allen, Ben
AU - Casement, John
AU - Diboll, Julie
AU - Harry, Rachel
AU - Cooles, Faye A.H.
AU - Cope, Andrew P.
AU - Simpson, Gemma
AU - Toward, Ruth
AU - Noble, Hayley
AU - Parke, Angela
AU - Wu, Wing
AU - Clarke, Fiona
AU - Scott, David
AU - Scott, Ian C.
AU - Galloway, James
AU - Lempp, Heidi
AU - Ibrahim, Fowzia
AU - Schwank, Samana
AU - Molyneux, Gemma
AU - Lazarov, Tomi
AU - Geissmann, Frederic
AU - Goodyear, Carl S.
AU - McInnes, Iain B.
AU - Donnelly, Iona
AU - Gilmour, Ashley
AU - Virlan, Aysin Tulunay
AU - Porter, Duncan
AU - Ponchel, Frederique
AU - Emery, Paul
AU - El-Jawhari, Jehan
AU - Parmar, Rekha
AU - McDermott, Michael F.
AU - Fisher, Benjamin A.
AU - Young, Steve P.
AU - Jones, Philip
AU - Raza, Karim
AU - Filer, Andrew
AU - Pitzalis, Costantino
AU - Barnes, Michael R.
AU - Watson, David S.
AU - Henkin, Rafael
N1 - Funding Information:
The RA-MAP Consortium is a UK industry-academic precision medicine partnership funded by the Medical Research Council and the Association of the British Pharmaceutical Industry (ABPI). RA-MAP’s goals are to investigate clinical and biological predictors of disease outcome and treatment response in RA, using deep clinical and multi-omic phenotyping (Fig. ). The study is in part motivated to inform the study design and analysis of future studies of blood and immune cell subsets in RA and other IMIDs. RA-MAP patients follow the UK-NHS standard of care, with first-line treatment with conventional synthetic disease-modifying anti-rheumatic drugs (csDMARD), such as methotrexate, which have slow onset of action. In the case of non-responders to csDMARDs, prolonged periods of uncontrolled disease activity can lead to joint damage and disability. Thus, RA-MAP seeks to address a major unmet need to identify patient-level predictors of response in order to identify patients with a greater or lesser chance of clinically responding to csDMARD treatment. Such information could guide treatment choices, possibly supporting fast-track biologic therapy, leading to improved long-term outcomes for patients, and saving time and money in achieving sustained disease control and improving the efficiency of clinical trials.
Funding Information:
The programme of research described in this article is funded by the Medical Research Council, UK (An Immunological Toolkit for Clinical Application, grant number G1001518 and Towards a cure for early rheumatoid arthritis, grant number G1001516). The RA-MAP Consortium would particularly like to thank members of the MRC Immunity and Inflammation Stratified Medicine Steering Group and Officers of the Medical Research Council who have supported the work of RA-MAP from the outset. In addition, the RA-MAP team acknowledges the exceptional contributions and talents of Christopher John (1986–2020), Meilien Ho (1960–2016) and Sally Hollis (1967–2019). This project was enabled through access to the MRC eMedLab Medical Bioinformatics infrastructure supported by the Medical Research Council [grant number MR/L016311/1]. SV is supported by Versus Arthritis (grant numbers 20385, 20380) and the NIHR Manchester Biomedical Research Centre, UK. JDI is a National Institute for Health Research (NIHR) Senior Investigator and his work is supported by the Research into Inflammatory Arthritis Centre Versus Arthritis and the NIHR Newcastle Biomedical Research Centre in Ageing and Long-term Conditions. The views expressed are those of the author(s) and not necessarily those of the National Institute for Health Research NIHR or the Department of Health and Social Care.
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85131365621&partnerID=8YFLogxK
U2 - 10.1038/s41597-022-01264-y
DO - 10.1038/s41597-022-01264-y
M3 - Article
AN - SCOPUS:85131365621
VL - 9
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 196
ER -