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

ConclusionSeveral lipids and other metabolites when combined in classifying models predict high disease activity from both low and moderate disease activity. Lipids of key interest included lysophosphatidylcholine and sphingomyelin. Quantitative MS assays based on selected reaction monitoring, are required to quantify the candidate biomarkers identified.
Source: Metabolomics - Category: Biology Source Type: research