Search

A major obstacle in metabolomics remains the identification and quantification of a large fraction of unknown metabolites in complex biological samples when purified standards are unavailable. Herein we introduce a multivariate strategy for de novo quantification of cationic/ zwitterionic metabolites using capillary electrophoresis-electrospray ionization-mass spectrometry (CE--ESI-MS) based on fundamental molecular, thermodynamic, and electrokinetic properties of an ion. Multivariate calibration was used to derive a quantitative relationship between the measured relative response factor (RRF) of polar metabolites with respect to four physicochemical properties associated with ion evaporation in ESI-MS, namely, molecular volume (MV), octanol-water distribution coefficient (log D), absolute mobility ([[micro].sub.o]), and effective charge ([z.sub.eff]). Our studies revealed that a limited set of intrinsic solute properties can be used to predict the RRF of various classes of metabolites (e.g., amino acids, amines, peptides, acylcarnitines, nucleosides, etc.) with reasonable accuracy and robustness provided that an appropriate training set is validated and ion responses are normalized to an internal standard(s). The applicability of the multivariate model to quantify micromolar levels of metabolites spiked in red blood cell (RBC) lysates was also examined by CE--ESI-MS without significant matrix effects caused by involatile salts and/or major co-ion interferences. This work demonstrates the feasibility for virtual quantification of low-abundance metabolites and their isomers in real-world samples using physicochemical properties estimated by computer modeling, while providing deeper insight into the wide disparity of solute responses in ESI-MS. New strategies for predicting ionization efficiency in silico allow for rapid and semi-quantitative analysis of newly discovered biomarkers and/or drug metabolites in metabolomics research when chemical standards do not exist.

The advent of electrospray-ionization mass spectrometry (ESI-MS) has given rise to expanded newborn screening programs for the early detection of inborn errors of metabolism (IEM). Despite the benefit of high-throughput screening for disease prognosis, conventional ESI-MS methods are limited by inadequate specificity, complicated sample handling, and low positive predictive outcome that can contribute to a high rate of false-positives. Herein, we report a robust strategy for neonatal screening based on capillary electrophoresis-electrospray ionization-mass spectrometry (CE-ESI-MS) that offers a convenient platform for the direct analysis of amino acids, acylcarnitines, and their stereoisomers from dried blood spot (DBS) extracts without chemical derivatization. On-line sample preconcentration with desalting by CE-ESI-MS allowed for improved concentration sensitivity when detecting poorly responsive metabolites in complex biological samples without ionization suppression or isomeric/ isobaric interferences. Method validation demonstrated that accurate yet precise quantification can be achieved for 20 different amino acid and acylcarnitine biomarkers associated with IEMs when using a single non-deuterated internal standard. CE-ESI-MS represents a promising second-tier method in newborn screening programs that is compatible with ESI-MS/MS technology in cases when improved specificity and sensitivity is warranted for diagnosis confirmation and subsequent monitoring.

The advent of electrospray-ionization mass spectrometry (ESI-MS) has given rise to expanded newborn screening programs for the early detection of inborn errors of metabolism (IEM). Despite the benefit of high-throughput screening for disease prognosis, conventional ESI-MS methods are limited by inadequate specificity, complicated sample handling, and low positive predictive outcome that can contribute to a high rate of false-positives. Herein, we report a robust strategy for neonatal screening based on capillary electrophoresis-electrospray ionization-mass spectrometry (CE-ESI-MS) that offers a convenient platform for the direct analysis of amino acids, acylcarnitines, and their stereoisomers from dried blood spot (DBS) extracts without chemical derivalization. On-line sample preconcentration with desalting by CE-ESI-MS allowed for improved concentration sensitivity when detecting poorly responsive metabolites in complex biological samples without ionization suppression or isomeric/isobaric interferences. Method validation demonstrated that accurate yet precise quantification can be achieved for 20 different amino acid and acylcarnitine biomarkers associated with IEMs when using a single non-deuterated internal standard. CE-ESI-MS represents a promising second-tier method in newborn screening programs that is compatible with ESI-MS/MS technology in cases when improved specificity and sensitivity is warranted for diagnosis confirmation and subsequent monitoring. [ABSTRACT FROM AUTHOR]