High-Resolution Mass Spectrometry Quantification: Impact of Differences in Data Processing of Centroid and Continuum Data

High-resolution mass spectrometry (HRMS) in full scan mode acquires all ions present in the sample of interest offering a lot of qualitative information. This, in combination with the improved performance of the new generation HRMS systems, triggers more (bio) analysts to switch from triple quad MS systems to HRMS for quantitative analysis. Quantitative processing of HRMS data is performed based on narrow mass extraction windows rather than on nominal mass product ion chromatograms (SRM or MRM). Optimal processing of HRMS data requires different considerations and software tools and can have an impact on data processing and final results. The selection of centroid versus continuum/profile data for processing, selection of the optimal narrow mass extraction window, using theoretical versus measured accurate mass for the extraction of the ion chromatograms as well as differences in calculations and data handling residing in the different vendor software packages are tackled in the presented manuscript. These differences are illustrated on HRMS data acquired for the same plasma samples on three different platforms, i.e., a Sciex QToF, a Waters QToF, and a Thermo Orbitrap system, and processed in four different software packages, i.e., Sciex Analyst® TF, Waters Masslynx, Waters Unifi, and Thermo Xcalibur. The impact of these differences on quantitative HRMS performance was evaluated on calibration curves of eight small molecule compounds in plasma using four different ways of processing. Simple guidelines are provided for the selection of an optimal mass extraction window for continuum and centroided data. Graphical Abstract.

Exploring the utility of high-resolution MS with post-acquisition data mining for simultaneous exogenous and endogenous metabolite profiling

Background: The utility of high-resolution MS (HRMS) with post-acquisition data mining in DMPK goes much further than the now established approach to simultaneously acquire quantitative and qualitative information for lead compounds at the discovery stage. Indeed, HRMS has promise for addressing multiple complex drug-development applications in a single experiment. In the present study, one HRMS dataset acquired for in vitro incubations of the model compound dasatinib was mined post-acquisition to address four different issues: stability, metabolite profiling, glutathione conjugate analysis, and endogenous lipid profiling. Results & Conclusion: The derived results demonstrated that HRMS has potential for generating high information content datasets that can be stored and mined as needed to answer numerous complex development-stage questions without the need for additional sample generation or analysis.

Cassette incubation followed by bioanalysis using high-resolution MS for in vitro ADME screening assays

Background: High-resolution MS (HRMS) has recently received a considerable interest in quantitative bioanalysis using full-scan acquisition mode. The benefits include complete elimination of compound-specific MS method development, and simultaneous collection of mass spectral data on both targeted and non-targeted components. One additional advantage that has not been widely discussed is its suitability for simultaneous quantitation of, theoretically, an unlimited number of compounds, which is not possible with selected reaction monitoring (SRM) on a triple quadrupole mass spectrometer. Materials & Methods: We took advantage of this unique bioanalytical capability of HRMS and developed a novel in vitro ADME workflow of cassette incubation of as many as 32 compounds, followed by quantitative bioanalysis using full-scan acquisition on an Orbitrap HRMS. The workflow was evaluated for a serum protein-binding assay and a parallel artificial membrane permeability (PAMPA) assay. Results: The bioanalytical assay displayed acceptable sensitivity, selectivity and linearity for all compounds in the cassettes, and the biological results obtained using this approach were similar to those from discrete incubation and analysis, demonstrating the feasibility of the workflow. Additional benefits of this platform include a saving of analysis time due to the reduced sample numbers from the cassette approach, as well as cost saving due to the reduction in the required assay reagents. Conclusion: Cassette incubation with bioanalysis using HRMS is a feasible approach for high-throughput in vitro ADME assays evaluated in this study.