Biomarker enrichment

Regarding biomarker enrichment, “Biomarker Analysis” module was used for analysis. Compound names as well as their abundance were selected, and data was processed as performed in exploratory data analysis. Classical univariate receiver operating characteristic (ROC) curve was chosen for analysis. Compounds with area under the curve value more than 0.8, fold change more than 2, and T-test less than 0.05 were considered as potential biomarkers of trichinellosis at different time-point. Afterward, all potential metabolites were searched through human metabolome database (The Human Metabolome Database (HMDB)– 220,945 metabolite entities: https://hmdb.ca/) [39], and mouse metabolome databases (Chemical Entities of Biological Interest (ChEBI)– 2,987 metabolite entities: https://www.ebi.ac.uk/chebi/init.do, MetaboLights– 1,195 metabolite entities: https://www.ebi.ac.uk/metabolights/index) [40,41]. Metabolites those did not match with entities in databases were encouraged as metabolites of parasites.