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Metabolic signature of idiopathic inflammatory myopathy

ABSTRACT: Objective of this study was to find Metabolic signature of idiopathic inflammatory myopathy (IIM). We used the serum samples of healthy control, IIM, ankylosing spondylitis. Metabolites were quantified using biocrates p180 kit. First, we found IIM specific metabolites by using ANOVA with post-hoc analysis. With set of metabolite panel, we made prediction model using logistic regression (LR), support vector machine (SVM), and random forest (RF). We found 7 metabolites as biomarker for classifying IIM from healthy control and ankylosing spondylitis. Also, we validate our model using 5 cross validation method. Out set of metabolites showed the AUC values of 0.955 (LR), 0.908 (RF) and 0.918 (SVM).

ORGANISM(S): Human Homo Sapiens

TISSUE(S): Blood

DISEASE(S): Inflammation

SUBMITTER: Jihyun Kang

PROVIDER: ST002196 | MetabolomicsWorkbench | Thu Jun 09 00:00:00 BST 2022

REPOSITORIES: MetabolomicsWorkbench

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