Applied Clinical Tandem Mass Spectrometry-Based Quantification Methods for Lipid-Derived Biomarkers, Steroids and Cannabinoids: Fit-for-Purpose Validation Methods

The emergence of metabolomics and quantification approaches is revealing new biomarkers applied to drug discovery. In this context, tandem mass spectrometry is the method of choice, requiring a specific validation process for preclinical and clinical applications. Research on the two classes of lipid mediators, steroids and cannabinoids, has revealed a potential interaction in cannabis addiction and metabolism-related disorders. Here we present the development of GC-MS/MS and LC-MS/MS methods for routine quantification of targeted steroids and cannabinoids, respectively. The methods were developed using an isotopic approach, including validation for linearity, selectivity, LLOQ determination, matrix effect, carryover, between- and within-run accuracy and precision, and stability tests to measure 11 steroids and seven cannabinoids in human plasma. These methods were satisfactory for most validity conditions, although not all met the acceptance criteria for all analytes. A comparison of calibration curves in biological and surrogate matrices and in methanol showed that the latter condition was more applicable for our quantification of endogenous compounds. In conclusion, the validation of our methods met the criteria for GLP-qualified rather than GLP-validated methods, which can be used for routine analytical studies for dedicated preclinical and clinical purposes, by combining appropriate system suitability testing, including quality controls in the biological matrix.

An antibody binding-based fluorescent assay for the rapid quantification of globotriaosylceramide levels in human Fabry cells

Fabry disease is caused by reduced α-GAL A activity and accumulation of globotriaosylceramide (Gb₃). Here, we describe a microplate Gb₃ assay using fluorophore-tagged antibody and crude cellular lipid extracts. The assay is able to detect higher Gb₃ concentrations in human Fabry cells compared to non-diseased cells. This result was verified by immunofluorescence staining that revealed large amounts of Gb₃ deposits in Fabry cell lines, demonstrating the accuracy of this method. This assay may provide the basis for detecting Fabry disease by quantifying Gb₃ deposits from human biological samples, for example, from urine and blood.

Fit-for-purpose biomarker LC–MS/MS qualification for the quantitation of very long chain fatty acids in human cerebrospinal fluid

Aim: Very long chain fatty acids (VLCFAs) have been identified as biomarkers for several peroxisomal disorders necessitating the need for reliable biomarker assays in particular C20, C22, C24, C26 in cerebrospinal fluid (CSF). Until now no absolute quantitation assay for total VLCFAs in CSF has been successfully developed and qualified for clinical use. Methodology: A quantitative LC–MS/MS assay for total VLCFA in human CSF was developed. Derivatization tag and coupling chemistry were optimized for sensitivity. CSF contamination by blood, non-specific binding of VLCFA to surfaces and exogenous VLCFA contamination was minimized. Discussion/conclusion: This fit for purpose biomarker assay was used to measure baseline healthy human VLCFA levels across multiple subjects to establish an understanding of concentration ranges and feasibility.

Parallelism experiments to evaluate matrix effects, selectivity and sensitivity in ligand-binding assay method development: pros and cons

Parallelism is an essential experiment characterizing relative accuracy for a ligand-binding assay (LBA). By assessing the effects of dilution on the quantitation of endogenous analyte(s) in matrix, selectivity, matrix effects, minimum required dilution, endogenous levels of healthy and diseased populations and the LLOQ are assessed in a single experiment. This review compares and discusses all available approaches that can be used to assess key assay parameters for pharmacokinetic and biomarker LBAs, as well as the advantages and disadvantages of each approach. This review also summarizes a systematic approach that can apply to guide endogenous LBA method development and optimization with a suggested way to interpret parallelism data.