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Dang-Khoa Vo, Han-Joo Maeng. Recent advances in mass spectrometry-based bioanalytical methods for endogenous biomarkers analysis in transporter-mediated drug-drug interactions[J]. Journal of Pharmaceutical Analysis. doi: 10.1016/j.jpha.2025.101289
Citation: Dang-Khoa Vo, Han-Joo Maeng. Recent advances in mass spectrometry-based bioanalytical methods for endogenous biomarkers analysis in transporter-mediated drug-drug interactions[J]. Journal of Pharmaceutical Analysis. doi: 10.1016/j.jpha.2025.101289

Recent advances in mass spectrometry-based bioanalytical methods for endogenous biomarkers analysis in transporter-mediated drug-drug interactions

doi: 10.1016/j.jpha.2025.101289
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This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2021R1F1A1060378) and by the Mistry of the Education (RS-2020-NR049589).

  • Received Date: Dec. 09, 2024
  • Rev Recd Date: Mar. 28, 2025
  • Available Online: Apr. 03, 2025
  • Drug-drug interactions (DDI) are a critical concern in drug development and clinical practice. A new molecular entity often requires numerous clinical DDI studies to assess potential risks in humans, which involves significant time, cost, and risk to healthy study participants. Consequently, there is growing interest in innovative techniques to improve the prediction of transporter-mediated DDI. Researchers in this field have focused on identifying endogenous molecules as biomarkers of transporter function. The development of biomarkers is notably more complex than that of exogenous drugs. Owing to their inherent selectivity, sensitivity, and ability to provide absolute quantification, liquid chromatography-mass spectrometry (LC-MS) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) are increasingly being employed for the quantitative investigation of new biomarkers. This review article presents recently developed bioanalytical approaches using LC-MS/MS for putative transporter biomarkers identified to date. Additionally, we summarize the published baseline endogenous levels of these potential biomarkers in a biological matrix to suggest a set of reference values for future research, thereby minimizing errors in biomarker-related data analyses or calculations.
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