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Abstract
Most rheumatic and musculoskeletal diseases (RMDs) can be placed along a spectrum of disorders, with autoinflammatory diseases (including monogenic systemic autoinflammatory diseases) and autoimmune diseases (such as systemic lupus erythematosus and antiphospholipid syndrome) representing the two ends of this spectrum. However, although most autoinflammatory diseases are characterized by the activation of innate immunity and inflammasomes and classical autoimmunity typically involves adaptive immune responses, there is some overlap in the features of autoimmunity and autoinflammation in RMDs. Indeed, some ‘mixed-pattern’ diseases such as spondyloarthritis and some forms of rheumatoid arthritis can also be delineated. A better understanding of the pathogenic pathways of autoinflammation and autoimmunity in RMDs, as well as the preferential cytokine patterns observed in these diseases, could help us to design targeted treatment strategies.
Most rheumatic and musculoskeletal diseases (RMDs) fall along a spectrum of disorders from autoinflammatory diseases to autoimmune diseases, with ‘mixed-pattern’ RMDs having features of autoinflammation and autoimmunity. A better understanding of the pathogenic pathways of autoinflammation and autoimmunity in RMDs should enhance targeted treatment strategies.
Details
; McInnes, Iain B 2
; Schett Georg 3
; Szamosi Szilvia 1 ; Benkő Szilvia 4 ; Szűcs Gabriella 1 1 University of Debrecen, Division of Rheumatology, Faculty of Medicine, Debrecen, Hungary (GRID:grid.7122.6) (ISNI:0000 0001 1088 8582)
2 University of Glasgow, Institute of Infection, Immunity and Inflammation, Glasgow, UK (GRID:grid.8756.c) (ISNI:0000 0001 2193 314X)
3 Friedrich Alexander University Erlangen-Nuremberg and Universitätsklinikum Erlangen, Department of Internal Medicine 3, Erlangen, Germany (GRID:grid.5330.5) (ISNI:0000 0001 2107 3311); Friedrich Alexander University Erlangen-Nuremberg and Universitätsklinikum Erlangen, Deutsches Zentrum fur Immuntherapie, Erlangen, Germany (GRID:grid.5330.5) (ISNI:0000 0001 2107 3311)
4 University of Debrecen, Department of Physiology, Faculty of Medicine, Debrecen, Hungary (GRID:grid.7122.6) (ISNI:0000 0001 1088 8582)





