Livestock-associated (LA) methicillin-resistant Staphylococcus aureus (MRSA) and strains of sequence type 398 (ST398), which first became known for its widespread colonization of pigs but are now also rapidly emerging in the number of human colonization and infections. The ability of broad host adaption in combination with a consciously evolves by acquisition of virulence gene or mobile genetic elements (MGE) have been increasingly addressed ST398 lineage a serious threat to public health. The present study was aimed to track out how the diverse ST398 lineage, which colonized or infected in a broad range of reservoirs and various geographic regions, is actually reflected in the course of virulence evolution. We therefore profiled the extracellular proteome, representing the main reservoir of virulence factors, of 30 representative clinical isolates using label-free quantitative mass spectrometry. The results show that these isolates can be divided into five distinct clusters based on their exoproteome identities and abundance signatures. The majority of proteins identified were predicted as cytoplasmic proteins showing substantial heterogeneity among our 30 investigated isolates. Only 50% of isolates their exoproteome clustering of isolates can be correlated the clustering based on genome sequences suggested that the large-scale extend of genotype changes over time. To assess the virulence and cytotoxicity of the 30 investigated isolates, we employed infection models based on Galleria mellonella and HeLa cells. The results uncovered the grouping of clinical isolates based on their virulence or cytotoxicity have apparently distinctive exoproteome signatures and particular exoproteins could play decisive roles in pathogenicity of this specific S. aureus lineage. Altogether, the combination of exoproteome and virulence analysis contribute to the comprehensive insights for the impact of genome diversity on the global production of virulence factors of this zoonotic lineage, and more importantly, our outcomes as well as our approach provided an effective pipeline to define proteomic signatures of S. aureus virulence.