In veterinary medicine, inflammation in swine is evaluated solely by clinical signs. This method is often unreliable when assessing large animal populations because of inconsistent interpretations of clinical observations between different clinicians. The lack of a validated swine animal model prevents an accurate measurement of inflammation and inhibits the development of new veterinary effective drugs for swine. This study examined whether changes in miRNA expression can predict the severity of the inflammatory response in swine after administration of lipopolysaccharide (LPS) from Escherichia coli (E.coli). Identification of a reliable biomarker from a systemic inflammatory response needs to be easily obtained, safe, and provide the lowest risk of discomfort to the subject. The correlation of the clinical signs with individual miRNA levels may establish a plasma biomarker that can determine the severity of inflammation in swine. The long-term goal is to determine the most powerful tool for analysis and biomarker discovery. Exploring the different methodologies and monitoring different miRNAs increases the likelihood for potential advancements in disease detection applications