PCA and orthogonal partial least squares discriminant analysis (OPLS-DA) were conducted in R software to analyze and screen metabolites. Potential biomarkers were selected based on VIP scores >1 in OPLS-DA. Simultaneously, metabolites were screened further and those with FC >2 and p-value <0.05 in student’s t-test were selected.
Differential metabolites from optimized data underwent substance enrichment analysis in R software with reference to the KEGG database to determine host pig metabolic pathways.