Establishes a novel UHPLC-MS/MS metabolite profiling methodology for characterizing semaglutide metabolism in liver S9 fractions across species and rat plasma. Identifies semaglutide metabolites including truncated forms, oxidized variants, and deamidated products. Provides a validated in vitro screening model for predicting semaglutide's metabolic behavior—addressing a drug development gap for peptide therapeutic metabolite characterization and enabling biosimilar comparability studies and metabolite safety assessment.
Cong, Yawen; Tang, Chongzhuang; Li, Zhiqiang; Gao, Yang; Chen, Lijuan; Xu, Haibo; Diao, Xingxing