In vivo and in vitro metabolite profiling of nirmatrelvir using LC–Q‐ToF–MS/MS along with the in silico approaches for prediction of metabolites and their toxicity

• Published in: Biomedical chromatography Vol. 38; no. 5; pp. e5849 - n/a
• Main Authors: Chaganti, Sowmya, Kushwah, Bhoopendra Singh, Velip, Laximan, Tiwari, Shristy S., Chilvery, Shrilekha, Godugu, Chandraiah, Samanthula, Gananadhamu
• Format: Journal Article
• Language: English
• Published: England 01.05.2024
• Subjects: Animals; Antiviral Agents - analysis; Antiviral Agents - chemistry; Antiviral Agents - metabolism; characterization; Chromatography, Liquid - methods; Computer Simulation; COVID-19 Drug Treatment; DEREK; Humans; LC–Q‐ToF–MS/MS; Male; Meteor; Mice; Microsomes, Liver - metabolism; nirmatrelvir; Rats; Rats, Sprague-Dawley; SARAH; SARS-CoV-2; Tandem Mass Spectrometry - methods; DEREK; SARAH; characterization; Meteor; nirmatrelvir; LC–Q‐ToF–MS/MS
• ISSN: 0269-3879; 1099-0801
• DOI: 10.1002/bmc.5849

Nirmatrelvir (NRV), a 3C‐like protease or Mpro inhibitor of SARS‐CoV‐2, is used for the treatment of COVID‐19 in adult and paediatric patients. The present study was accomplished to investigate the comprehensive metabolic fate of NRV using in vitro and in vivo models. The in vitro models used for the study were microsomes (human liver microsomes, rat liver microsomes, mouse liver microsomes) and S9 fractions (human liver S9 fractions and rat liver S9 fractions) with the appropriate cofactors, whereas Sprague–Dawley rats were used as the in vivo models. Nirmatrelvir was administered orally to Sprague–Dawley rats, which was followed by the collection of urine, faeces and blood at pre‐determined time intervals. Protein precipitation was used as the sample preparation method for all the samples. The samples were then analysed by liquid chromatography–quadrupole time‐of‐flight tandem mass spectrometry (LC‐Q‐ToF‐MS/MS) using an Acquity BEH C18 column with 0.1% formic acid and acetonitrile as the mobile phase. Four metabolites were found to be novel, which were formed via amide hydrolysis, oxidation and hydroxylation. Furthermore, an in silico analysis was performed using Meteor Nexus software to predict the probable metabolic changes of NRV. The toxicity and mutagenicity of NRV and its metabolites were also determined using DEREK Nexus and SARAH Nexus.