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. 2022 Jul 21;13(5):2456–2472. doi: 10.1002/jcsm.13045

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© 2022 The Authors. Journal of Cachexia, Sarcopenia and Muscle published by John Wiley & Sons Ltd on behalf of Society on Sarcopenia, Cachexia and Wasting Disorders.

This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

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Plasma metabolomic profiles in main IIM subtypes. (A and B) The orthogonal partial least‐squares discriminate analysis (OPLS‐DA) score plots of plasma metabolomics data compared dermatomyositis (DM), anti‐synthetase syndrome (ASS), and immune‐mediated necrotizing myopathy (IMNM) to normal control (NC) samples in positive (A) and negative (B) ion mode, respectively. (C) The UpSet plot analysis based on the selected important metabolites in plasma [variable importance in the projection (VIP) > 1, fold change (FC) > 1.2 or <0.83]. (D) KEGG pathway analysis of exclusively important metabolites in each main IIM subtype. (E) The linear discriminant analysis (LDA) plot based on the Top 30 metabolites in random forest machine model. (F) The most specific metabolite identified by the random forest machine model to classify plasma samples from NC, DM, ASS, and IMNM, respectively (P value compared with NC, *, <0.05; **, <0.01; ***, <0.001, ****, <0.0001).