Significant increases in detection capability for assessment of organic anion transporting polypeptide-mediated drug-drug interaction in cynomolgus monkeys by modifying pretreatment of Coproporphyrin I and III, and glycochenodeoxycholate-3-sulfate in plasma.

ABSTRACT

BACKGROUND: Coproporphyrin I (CP-I), Coproporphyrin III (CP-III), and glycochenodeoxycholate-3-sulfate (GCDCA-S) act as endogenous substrates of Organic Anion Transporting Polypeptide (OATP) 1B and have been considered for application in OATP1B-mediated drug‒drug interaction (DDI) risk assessments. Prior assays of the endogenous OATP substrates might exhibit reduced DDI detection capability and possibly overlook low DDI risk. We pioneered a simultaneous assay of the three substrates in monkey plasma using ultra-performance liquid chromatography with tandem mass spectrometry (UPLC-MS/MS) and applied it to monkey studies to identify lower DDI risk. RESULTS: The methodology development indicated that precursors of CP-I/III were oxidized to form CP-I/III, diminishing the detection capability in DDI risk assessments. A precursor eliminated analytical (PEA) method was developed to eliminate the precursors through solid-phase extraction. This method aimed to prevent the oxidation of CP-I/III precursors by incorporating edaravone. For comparison, a precursor oxidized analytical (POA) method was also developed, wherein the precursors of CP-I/III were fully oxidized to CP-I/III. The PEA method achieved high sensitivity for CP-I/III and GCDCA-S, with lower quantification limits of 0.01 ng mL-1 and 0.5 ng mL-1, respectively. Both methods ensured that the validation parameters met the acceptance criteria. The two methods were applied to a monkey study, with CP-I/III showcasing notably enhanced DDI detection capabilities through the novel PEA method in comparison to the POA method. SIGNIFICANCE: This study's methodology has future implications for OATP-mediated DDI risk assessment using endogenous substrates. The novel PEA method can identify lower OATP-mediated DDI risks for drugs that the current methods cannot detect. Our method is likely applicable in clinical settings, and its utility should be assessed in clinical trials.