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Acute anaphylaxis caused by food allergy is a potentially life-threatening allergic reaction that results in thousands of hospitalizations in North America every year. There are currently no effective means of treatment for anaphylaxis beyond the administration of epinephrine which is only given after a reaction has already started. Furthermore, knowledge regarding the underlying physico-chemical basis of anaphylaxis is largely incomplete. Arguably, the study of anaphylaxis by comprehensive metabolomics offers a unique opportunity to study this phenomenon due to its ability to provide a snap-shot of the chemical state of a subject experiencing anaphylaxis encompassing both endogenous and exogenous factors including dietary and environmental effects. In this study, we sought to apply a comprehensive metabolomics approach using liquid chromatography–mass spectrometry to a murine model of peanut-induced anaphylaxis. The results of this study revealed that the metabolomic profiles of mice experiencing peanut-induced anaphylaxis followed a distinct pattern that mirrors the time-stage of anaphylaxis being experienced. Direct comparison of anaphylactic mice to time-matched control mice showed that the metabolomic profiles changed considerably as the anaphylactic reaction progressed. This comparison also revealed changes in both known biomarkers of anaphylaxis such as histamine and methylhistamine as well as a suite of metabolites chemically similar to known anaphylaxis mediators but whose biological functions are not well understood. These metabolites include a number of phospholipids such as a variety of phosphatidylcholines and lyso-phosphatidylcholines that may be of interest for further investigation regarding their potential as anaphylaxis mediators or chemical precursors to mediators.

The tandem use of hydrophilic interaction LC columns with RP columns in series configuration has resulted in the retention of both polar and nonpolar components in complex biological samples (mouse serum) in a single analysis. This approach successfully coupled various columns with orthogonal separation characteristics, employed a single solvent gradient program compatible with the two columns and used ESI coupled to a TOF mass spectrometer for detection. Ion suppression, a common problem in ESI, was virtually eliminated for components eluting with apparent capacity factors >0.7. Retention time reproducibility with the tandem columns performed over three days with over 100 injections was comparable to that observed for single columns alone. This method was applied to the analysis of a pooled mouse serum sample and afforded highly reproducible data for up to 3000 mass spectral features. This approach was implemented with a conventional LC-MS system and should find broad applicability in the comprehensive analysis of complex mixtures containing a wide range of compound polarities.

Background Microflora-dependent trimethylamine-N-oxide (TMAO) formation, which results from intake of choline and L-carnitine-rich food, shows promise as a predictor of cardiovascular disease (CVD) risk, but these associations have not been examined in ethnically diverse populations. In a multiethnic population-based study of adults in Canada, we assessed the stability of TMAO and L-carnitine in stored serum samples and their association with intimal medial thickness, prevalent risk factors, and clinical events. Methods In a randomly sampled cross-sectional study of 1286 Canadians, fasting serum samples were collected and stored. In 292 consecutive individuals (99 CVD cases and 193 unmatched control subjects), L-carnitine and TMAO concentrations were assessed using validated analytical approaches. Results The mean (± SD) TMAO level was 1.998 ± 3.13 μM and L-carnitine was 42.29 ± 11.35 μM. The relative levels of the samples did not appreciably change after 3 freeze-thaw cycles (coefficient of variation, 5.6% and 4.7%, respectively). No significant association between L-carnitine levels and prevalent CVD was found, with adjustment for covariates (odds ratio, 1.57; 95% confidence interval, 0.58-4.26; P trend = 0.65), for highest vs lowest quintile group. TMAO levels showed a significant, graded association with prevalent CVD (odds ratio, 3.17; 95% confidence interval, 1.05-9.51; P trend = 0.02). After further adjustment for diabetes status, meat, fish, and cholesterol intake, the association remained significant. No significant association between carotid intimal medial thickness and L-carnitine ( P = 0.64) or TMAO ( P = 0.18) was found. Conclusions Serum TMAO and L-carnitine analysis on stored samples is reliable. Our findings support an association between TMAO with prevalent CVD in a multiethnic population. This finding requires replication in larger studies in which dietary intake and stored serum samples exist.

Background Food allergy, in particular peanut allergy, is a growing concern in Western countries. The prevalence of allergy to peanut, which currently stands at 1.4%, nearly tripled between 1997 and 2008. Allergic sensitization is a particularly difficult process to study as it is clinically silent. We sought to identify key pathways and mediators critically involved in the induction of allergic sensitization to peanut. Methods Comprehensive metabolomics analysis with liquid chromatography–mass spectrometry was used to detect metabolite changes in mice (C57BL/6) undergoing sensitization. Loss-of-function and gain-of-function studies were performed in mice subjected to two models of peanut sensitization and anaphylaxis that involved either oral or epicutaneous sensitization. Flow cytometric analyses on dendritic cells (DCs) in vitro and in vivo were used to investigate the mechanisms of immune activation. Results Elevated levels of uric acid (UA) were detected in mice undergoing sensitization as well as in peanut-allergic children who were not challenged with peanut. In mice, the depletion of UA during sensitization prevented the development of peanut-specific immunoglobulins IgE and IgG1 as well as anaphylaxis while exogenous delivery of UA crystals (monosodium urate, MSU) restored the allergic phenotype. Monosodium urate enhanced CD86 and OX40L expression on DCs, independent of Toll-like receptors 2 and 4, the NLRP3 inflammasome, and IL-1β, via a PI3K signaling pathway. Conclusion Overproduction of the UA alarmin in the local microenvironment plays a critical role in the induction of peanut-allergic sensitization, likely due to its ability to activate DCs. These finding suggest that cellular damage or tissue injury may be an essential requisite for the development of allergic sensitization to foods.

The tandem use of hydrophilic interaction LC columns with RP columns in series configuration has resulted in the retention of both polar and nonpolar components in complex biological samples (mouse serum) in a single analysis. This approach successfully coupled various columns with orthogonal separation characteristics, employed a single solvent gradient program compatible with the two columns and used ESI coupled to a TOF mass spectrometer for detection. Ion suppression, a common problem in ESI, was virtually eliminated for components eluting with apparent capacity factors0.7. Retention time reproducibility with the tandem columns performed over three days with over 100 injections was comparable to that observed for single columns alone. This method was applied to the analysis of a pooled mouse serum sample and afforded highly reproducible data for up to 3000 mass spectral features. This approach was implemented with a conventional LC-MS system and should find broad applicability in the comprehensive analysis of complex mixtures containing a wide range of compound polarities.

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 (mu(o)), and effective charge (z(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 semiquantitative 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.