Classifying patients with psoriatic arthritis according to their disease activity status using serum metabolites and machine learning.

"data availability the metabolomics and metadata reported in this paper are available via massive ( https://massive ucsd edu ) study identifier msv000092699."

"Declarations Competing interestsThe authors declare no competing interests. Research involving in human and animal participantsAll procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study. Competing interests The authors declare no competing interests."

"Funding The study was supported by a grant from Canadian Institutes of Health Research Project Grant (#PJT-178388). IJ was supported in part by funding from Natural Sciences Research Council (NSERC #203475), Canada Foundation for Innovation (CFI #225404, #30865), Ontario Research Fund (RDI #34876 and RE010-020), IBM and Ian Lawson van Toch Fund. VC is supported by a salary award from the Department of Medicine, University of Toronto, Toronto, Canada. The Psoriatic Arthritis Program is supported by the Krembil Foundation. This work is in part supported by the Campaign to Cure Arthritis, University Health Network Foundation, Toronto and The Schroeder Arthritis Institute, University Health Network, Toronto. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."