In Silico Prediction For The Investigation of Comedication Interferences in Quantitative Lc–Ms Detection in The Srm Mode

Abstract

Background: LC–SRM/MS method validation in quantitative bioanalysis requires screening for potential interferences caused by the coelution of comedications or their metabolites. Current approaches are time-consuming, difficult to transfer to other experimental systems and not comprehensive. We propose an in silico strategy based on predicted LC retention time and MS precursor interferences to rank compounds that could potentially interfere with the analyte of interest, followed by a more focused experimental verification. Results: The suggested screening strategy was applied to investigate 129 potential comedications in everolimus patient samples analyzed with a validated LC–SRM/MS assay. A mixture of analytes with the same nominal mass was also investigated to illustrate the interference issues in SRM method development. Conclusion: A strategy was developed that allows the rapid screening of comedications, which is scalable to any analyte and transferable to any other LC–MS system.

Supplementary Data

Financial & competing interests disclosure

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties. Part of the study including the investigation of everolimus comedications interferences was sponsored by Novartis Pharma AG.

No writing assistance was utilized in the production of this manuscript.

Ethical conduct of research

The authors state that they have obtained appropriate institutional review board approval or have followed the principles outlined in the Declaration of Helsinki for all human or animal experimental investigations. In addition, for investigations involving human subjects, informed consent has been obtained from the participants involved.

Acknowledgements

G Hopfgartner and E Varesio would like to acknowledge Y Le Blanc (AB Sciex) for providing the 316 mix recipe and the pamaquine standard. They would also like to thank M Fathi (Geneva Hospital) for providing some of the compounds constituting the LC calibration mix A. G Hopfgartner and E Varesio are also grateful to Dionex (Germering, Germany) and AB Sciex (Concord, Toronto) for their fruitful collaboration.