Myositis is a group of conditions that vary greatly in risk factors, clinical manifestations, laboratory markers, presumed pathogenetic mechanisms, treatment responses and prognoses. Approaches to divide myositis into mutually exclusive and stable phenotypes are being considered, but are we thinking comprehensively enough in our attempts at classification?
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References
Barsotti, S. & Lundberg, I. E. Myositis an evolving spectrum of disease. Immunol. Med. 41, 46–54 (2018).
Loarce-Martos, J. et al. Polymyositis: is there anything left? A retrospective diagnostic review from a tertiary myositis centre. Rheumatology https://doi.org/10.1093/rheumatology/keaa801 (2020).
Lilleker, J. B. & Chinoy, H. Can machine learning unravel the complex IIM spectrum? Nat. Rev. Rheumatol. 16, 299–300 (2020).
Lundberg, I. E. et al. 2017 European League Against Rheumatism/American College of Rheumatology classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups. Arthritis Rheumatol. 69, 2271–2282 (2017).
Lundberg, I. E., de Visser, M. & Werth, V. P. Classification of myositis. Nat. Rev. Rheumatol. 14, 269–278 (2018).
Miller, F. W. et al. Risk factors and disease mechanisms in myositis. Nat. Rev. Rheumatol. 14, 255–268 (2018).
Deane, K. D. et al. Genetic and environmental risk factors for rheumatoid arthritis. Best Pract. Res. Clin. Rheumatol. 31, 3–18 (2017).
Sun, Y. V. & Hu, Y. J. Integrative analysis of multi-omics data for discovery and functional studies of complex human diseases. Adv. Genet. 93, 147–190 (2016).
Eng, S. W. M. et al. A clinically and biologically based subclassification of the idiopathic inflammatory myopathies using machine learning. ACR Open Rheumatol. 2, 158–166 (2020).
Gourley, M. & Miller, F. W. Mechanisms of disease: environmental factors in the pathogenesis of rheumatic disease. Nat. Clin. Pract. Rheumatol. 3, 172–180 (2007).
Acknowledgements
This work of the author was supported by the Intramural Research Program of the US National Institutes of Health, National Institute of Environmental Health Sciences. T. O’Hanlon and E. Shamim are acknowledged for their useful comments on the manuscript.
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Miller, F.W. Slicing and dicing myositis for cures and prevention. Nat Rev Rheumatol 17, 255–256 (2021). https://doi.org/10.1038/s41584-021-00592-4
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DOI: https://doi.org/10.1038/s41584-021-00592-4
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