Gas chromatography time-of-flight mass spectrometry based metabolomic approach to evaluating toxicity of triptolide

Metabolomics allows high-throughput analysis of low-molecular-weight compounds in biofluids that reflect the physiological status and biochemical metabolism of living systems. Hence it has the potential to evaluate toxicity and clarifies the metabolism-related toxic mechanisms. In this study a promising candidate drug parent, triptolide, was given to Sprague?CDawley rats as a model toxicant at a single dose of 0.6, or 2.4?mg/kg, i.g. Both routine biochemical assays and histopathological inspection showed time-dependent hepatic toxicity at the higher dose, but no obvious toxicity at the lower dose. Meanwhile, serum metabolome was profiled using the non-targeted metabolomic tool, gas chromatography time-of-flight mass spectrometry. Based on the acquired metabolomic data, mathematical models were calculated and the metabolic patterns of serum were evaluated using projection to latent structure-discriminant analysis. The relative distance of each treated group from the normal control was calculated to provide a measure of toxicity. Treatment with triptolide at either the higher or lower dose caused deviations in the metabolic pattern and resulted in perturbation of taurine, creatinine, free fatty acids, ??-hydroxybutyrate, tricarboxylic acid cycle intermediates, and amino acids. This finding indicates the dysfunction of ??-oxidation of free fatty acids and impairment of the mitochondria and confirms the hepatic toxicity of triptolide. The identified toxic markers and the calculated relative distance values quantitatively demonstrated dose- and time-dependent toxicity, whereas the scores plot of the model provided the qualitative information. The metabolomic approach was non-invasive and more sensitive than routine toxic assessment, and the results of both methods correlated well.     

Characterisation of intact microorganisms using electrospray ionisation mass spectrometry

We report the first application of electrospray ionisation mass spectrometry (ESI-MS) for the reproducible characterisation of strains of intact Gram-negative and Gram-positive bacteria. Electrospray ionisation was performed in both the positive and negative ion modes and the spectra obtained from Escherichia coli and Bacillus cereus were very information rich. Several of the observed negative mass ion fragments from E. coli could be assigned to specific fragmentation from bacterial phospholipids.Cluster analyses of these spectra showed that ESI-MS could be used to discriminate between these microorganisms to below species level. Therefore we conclude that ESI-MS constitutes a powerful approach to the characterisation and speciation of intact microorganisms.     

Matrix assisted laser desorption ionisation time of flight mass spectrometry (MALDI-TOF MS) for detecting novel Bt toxins

Matrix assisted laser desorption ionisation time of flight mass spectrometry (MALDI-TOF MS) was used to study crystal (Cry) toxins from different Bacillus thuringiensis (Bt) strains. Known Cry toxins such as Cry1Ac and Cry2A, as well as novel toxins for which the protein sequences were predicted by their gene sequences, were used as controls in this study. The peptide masses, obtained after in-gel trypsin digestion for all these proteins, matched correctly to the corresponding proteins. Also, MALDI-TOF MS was able to resolve and identify multiple Cry toxins of very similar molecular weights and highly similar isoelectric points, from a single protein band. Furthermore, in novel Bt strains for which PCR techniques were unable to detect the cognate genes, this method was able to detect novel Cry toxins. Hence, present data clearly suggest that MALDI-TOF MS could be used as a tool for identifying Cry toxins from novel Bt strains.     

A rapid approach to lipid profiling of mycobacteria using 2D HSQC NMR maps

Mycobacteria, including Mycobacterium tuberculosis, are characterized by a unique cell wall rich in complex lipids, glycolipids, polyketides, and terpenoids. Many of these metabolites have been shown to play important roles in mycobacterial virulence and their inherent resistance to many antibiotics. Here, we report the development of a new simple method for global analysis of these metabolites using two-dimensional (1)H-(13)C heteronuclear single quantum coherence nuclear magnetic resonance. The major advantages of this method are as follows: the small amount of sample and the minimal sample manipulation required; a relatively short procedural time; and the ability to rapidly attain a qualitative and quantitative lipid profile of a mycobacterial sample in which the majority of the clinically relevant lipids can be observed simultaneously. The effectiveness of this method is demonstrated in four different areas of major concern to the mycobacterial research community: i) adaptive changes in cell wall lipids as a result of drug treatment; ii) analysis of gene function; iii) characterization of new mycobacterial species; and iv) analysis of the production of virulence factors in clinical isolates of M. tuberculosis. This method is complementary to mass spectrometry-based lipidomic technologies and provides an urgently needed tool to gain a better understanding of the role of lipids in mycobacteria pathogenesis.     

Determination of potato glycoalkaloids using high-pressure liquid chromatography-electrospray ionisation/mass spectrometry

A method for quantifying two toxic glycoalkaloids, alpha-solanine and alpha-chaconine, in potato (Solanum tuberosum) tuber tissue was developed using HPLC-electrospray ionisation (ESI)/MS. Potato samples were extracted with 5% aqueous acetic acid, and the extracts were subjected directly to HPLC-ESI/MS after filtration. By determining the intensities of the protonated molecules of alpha-solanine (m/z 868) and alpha-chaconine (m/z 852) using selected ion monitoring (positive ion mode), a sensitive assay was attained with detection limits of 38 and 14 ppb for the two glycoalkaloids, respectively. The high sensitivity and selectivity of MS detection effectively reduced the time of analysis thus enabling a high throughput assay of glycoalkaloids in potato tubers.     

Development of a metabolomic approach based on urine samples and direct infusion mass spectrometry

The analysis of urine by direct infusion mass spectrometry suffers from ion suppression due to its high salt content and inter-sample variability caused by the differences in urine volume between persons. Thus, urine metabolomics requires a careful selection of the sample preparation procedure and a normalization strategy to deal with these problems. Several approaches were tested for metabolomic analysis of urine samples by direct infusion electrospray mass spectrometry (DI–ESI–MS), including solid phase extraction, liquid–liquid extraction, and sample dilution. In addition, normalization of results based on conductivity values and statistical treatment was performed to minimize sample variability. Both urine dilution and solid phase extraction with mixed mode sorbent considerably reduced the salt content in urine, providing comprehensive metabolomic fingerprints. Moreover, statistical data normalization enabled the correction of inter-sample physiological variability, improving the quality of results obtained. Therefore, high-throughput DI–ESI–MS fingerprinting of urine samples can be achieved with simple pretreatment procedures allowing the use of this noninvasive sampling in metabolomics. Finally, the optimized approach was tested in a pilot metabolomic investigation of urine samples from transgenic mice models of Alzheimer’s disease (APP/PS1) in order to illustrate the potential of the methodology.     

Quantitative approach to single-nucleotide polymorphism analysis using MALDI-TOF mass spectrometry

Pooling of DNA samples before genotyping is a valuable means of streamlining large-scale genotyping efforts in disease association studies, single-nucleotide polymorphism (SNP) validation or mutant allele screening programs. In this report, we explore the application of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) to quantitative analysis of SNPs. The measurements are based on MALDI-TOF MS analysis of primer extension assays performed on standard mixtures of pooled PCR products at several test loci. The inherent high molecular weight resolution of MALDI-TOF MS conveys high specificity and good signal-to-noise ratio for performing accurate quantitation. The methods described maximize the sensitivity and quantitative capacity of MALDI-TOF MS while preserving the throughput and economic advantages of the MALDI-TOF platform. Using the format described, we demonstrate that allele frequencies as low as 5% can be detected quantitatively and unambiguously.     

A method for profiling gangliosides in animal tissues using electrospray ionization-tandem mass spectrometry

Gangliosides are critical in many functions of mammalian cells but present as a minor lipid component with many molecular species of subtle differences. Conventional strategies for profiling gangliosides suffer from poor reproducibility, low sensitivity, and low-throughput capacity. Prior separation of gangliosides by thin-layer chromatography and/or high-performance liquid chromatography not only was laborious and tedious but also could introduce uneven losses of molecular species. We developed a new strategy of using electrospray ionization-tandem mass spectrometry (ESI-MS/MS) to profile gangliosides with high-throughput potential. This strategy involves three new findings: (i) collision-induced fragmentation of gangliosides gave rise to a common ion of m/z 290, a derivative of N-acetylneuraminic acid; (ii) phospholipids exert a profound suppression of ganglioside detection in ESI-MS/MS to prevent a direct detection in total cellular lipid extracts; and (iii) enrichment of gangliosides in the aqueous phase from total cellular lipid extracts eliminates the damping effect of phospholipids and permits direct precursor scan.     

Recent studies on the electrospray ionisation mass spectrometric behaviour of selected nitrogen-containing drug molecules and its application to drug analysis using liquid chromatography-electrospray ionisation mass spectrometry

This review presents recent studies on the electrospray ionisation mass spectrometry (ESI-MS) of selected N-containing drug molecules, their metabolites, formulation degradation products and process impurities taken from both studies in the author's laboratory and the recent literature using the Web of Knowledge database. Molecules of mass less than 500 Da are chosen according to selected structural classes in which they give ESI signals primarily in the positive ion mode as [M+H]+ ions. The structural classes are drugs with amine-containing side chains, drugs with N-containing saturated ring structures, drugs with N-containing unsaturated ring structures and quaternary ammonium drugs. Details are given on the fragmentations, where available, that these ionic species exhibit in-source and in ion-trap, triple quadrupole and time-of flight mass spectrometers. Fragmentation data, again where available, using electron impact mass spectrometry (EI-MS) is included for comparison. A review of applications for the period 2004-2005, again taken from the Web of Knowledge database, of the technique liquid chromatography-electrospray ionisation mass spectrometry (LC-ESI-MS) to the detection and determination of these N-containing drug molecules in biomatrices, pharmaceutical formulations, etc., is then made. Analytical information on, for example, sample concentration techniques, LC separation conditions, recoveries from biological media, degradation products and limits of detection (LODs) are provided. Comparisons, where available, are also made with rival analytical techniques such as gas liquid chromatography-mass spectrometry (GLC-MS), capillary electrophoresis-electrospray ionisation mass spectrometry (CE-ESI-MS) and stripping voltammetry (SV).     

MALDI-TOF mass spectrometry for rapid differentiation of Tenacibaculum species pathogenic for fish

Tenacibaculosis is a fish disease that limits the culture of a variety of marine fish species of commercial value in the world. The genus Tenacibaculum includes several species, and their discrimination is of clinical interest in order to improve the management of an outbreak of the disease. In this study, a novel proteomic approach based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) analysis was evaluated for the identification and differentiation of Tenacibaculum species. The peak mass lists derived from MALDI-TOF-MS analysis were examined for the detection of potential biomarkers, similarity and cluster analysis and principal component analysis (PCA). Culture media used for bacterial growth did not affect the mass fingerprints. Eight genus-specific peaks were found in all the Tenacibaculum species analysed. Moreover, at least one species-specific peak was found in the species Tenacibaculum maritimum, Tenacibaculum soleae, Tenacibaculum dicentrarchi, Tenacibaculum litoreum and Tenacibaculum ovolyticum. These peaks could serve as biomarkers for the rapid identification of these bacterial fish pathogens. The cluster and PCA clearly separated the species T. maritimum, T. soleae, T. dicentrarchi and T. ovolyticum in different clusters. However, species of Tenacibaculum discolor and Tenacibaculum gallaicum were difficult to distinguish based on their protein fingerprints. To our knowledge, this is the first study that deals with the characterization and determination of biomarkers of Tenacibaculum species by MALDI-TOF mass spectrometry. This approach proved to be an effective and reliable technique for the discrimination of the Tenacibaculum species; therefore, it could be integrated as a routine diagnostic tool in microbiological laboratories.

     

Phosphoinositide profiling in complex lipid mixtures using electrospray ionization mass spectrometry

Phosphoinositides (phosphorylated derivatives of phosphatidylinositol, PI) are versatile intracellular signaling lipids whose occurrence in low concentrations complicates direct mass measurements. Here we present a sensitive method to detect, identify and quantify phosphatidylinositol phosphate (PIP) and phosphatidylinositol bisphosphate (PIP(2)) with different fatty acid compositions (phosphoinositide profiles) in total lipid extracts by electrospray ionization mass spectrometry (ESI-MS). Using this method, we detected elevated concentrations of PIP2 in human fibroblasts from patients with Lowe syndrome, a genetic disorder that affects phosphoinositide metabolism. Saccharomyces cerevisiae cells deficient in enzymes involved in PIP metabolism--Sac1p, a phosphoinositide phosphatase, and Vps34p and Pik1p, a PI 3-kinase and PI 4-kinase, respectively--showed not only different PIP concentrations but also differential changes in PIP profiles indicating metabolic and/or subcellular pooling. Mass spectrometric analysis of phosphoinositides offers unique advantages over existing approaches and may represent a powerful diagnostic tool for human diseases that involve defective phosphoinositide metabolism.     

Analysis of glycerophosphoinositol by liquid chromatography-electrospray ionisation tandem mass spectrometry using a beta-cyclodextrin-bonded column

Glycerophosphoinositol (GroPIns) has been demonstrated to have important roles in many intracellular regulatory processes. GroPIns has been analysed for many years by anion-exchange HPLC after radiolabelling of cells in culture, but no method has been developed, to our knowledge, for the direct detection and quantitation of the unlabelled compound in such biological samples. Here is reported a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the direct quantitative analysis of GroPIns that can indeed be applied to cell extracts. Analyses were performed on a beta-cyclodextrin-bonded HPLC column using a binary mobile phase of acetonitrile and 20 mM ammonium formate in water, which allowed direct on-line detection by tandem mass spectrometry in negative electrospray ionisation (ESI) mode. The method was applied to the quantitative analysis of GroPIns in selected rat cell lines after a two-phase acid extraction of cultured cells using external calibration. The potential matrix signal suppression effects were investigated by the parallel quantitation of GroPIns in extracts of selected cultured cell lines with both external calibration and the standard additions method. The accuracy data obtained demonstrated the feasibility of external calibration, so allowing a simpler and less time-consuming approach than that of the standard additions method.     

Integrated multi-level quality control for proteomic profiling studies using mass spectrometry

Background

Evolutionary conservation of RNA secondary structure is a typical feature of many functional non-coding RNAs. Since almost all of the available methods used for prediction and annotation of non-coding RNA genes rely on this evolutionary signature, accurate measures for structural conservation are essential.

Results

We systematically assessed the ability of various measures to detect conserved RNA structures in multiple sequence alignments. We tested three existing and eight novel strategies that are based on metrics of folding energies, metrics of single optimal structure predictions, and metrics of structure ensembles. We find that the folding energy based SCI score used in the RNAz program and a simple base-pair distance metric are by far the most accurate. The use of more complex metrics like for example tree editing does not improve performance. A variant of the SCI performed particularly well on highly conserved alignments and is thus a viable alternative when only little evolutionary information is available. Surprisingly, ensemble based methods that, in principle, could benefit from the additional information contained in sub-optimal structures, perform particularly poorly. As a general trend, we observed that methods that include a consensus structure prediction outperformed equivalent methods that only consider pairwise comparisons.

Conclusion

Structural conservation can be measured accurately with relatively simple and intuitive metrics. They have the potential to form the basis of future RNA gene finders, that face new challenges like finding lineage specific structures or detecting mis-aligned sequences.     

Metabolomic profiling of Drosophila using liquid chromatography Fourier transform mass spectrometry

Hydrophilic interaction chromatography (HILIC) interfaced with an Orbitrap Fourier transform mass spectrometer (FT-MS) was used to carry out metabolomic profiling of the classical Drosophila mutation, rosy (ry). This gene encodes a xanthine oxidase/dehydrogenase. In addition to validating the technology by detecting the same changes in xanthine, hypoxanthine, urate and allantoin that have been reported classically, completely unsuspected changes were detected in each of the tryptophan, arginine, pyrimidine and glycerophospholipid metabolism pathways. The rosy mutation thus ramifies far more widely than previously detected.     

Sample size calculations for designing clinical proteomic profiling studies using mass spectrometry

In cancer clinical proteomics, MALDI and SELDI profiling are used to search for biomarkers of potentially curable early-stage disease. A given number of samples must be analysed in order to detect clinically relevant differences between cancers and controls, with adequate statistical power. From clinical proteomic profiling studies, expression data for each peak (protein or peptide) from two or more clinically defined groups of subjects are typically available. Typically, both exposure and confounder information on each subject are also available, and usually the samples are not from randomized subjects. Moreover, the data is usually available in replicate. At the design stage, however, covariates are not typically available and are often ignored in sample size calculations. This leads to the use of insufficient numbers of samples and reduced power when there are imbalances in the numbers of subjects between different phenotypic groups. A method is proposed for accommodating information on covariates, data imbalances and design-characteristics, such as the technical replication and the observational nature of these studies, in sample size calculations. It assumes knowledge of a joint distribution for the protein expression values and the covariates. When discretized covariates are considered, the effect of the covariates enters the calculations as a function of the proportions of subjects with specific attributes. This makes it relatively straightforward (even when pilot data on subject covariates is unavailable) to specify and to adjust for the effect of the expected heterogeneities. The new method suggests certain experimental designs which lead to the use of a smaller number of samples when planning a study. Analysis of data from the proteomic profiling of colorectal cancer reveals that fewer samples are needed when a study is balanced than when it is unbalanced, and when the IMAC30 chip-type is used. The method is implemented in the clippda package and is available in R at: http://www.bioconductor.org/help/bioc-views/release/bioc/html/clippda.html.     

Cytokinin profiling in plant tissues using ultra-performance liquid chromatography-electrospray tandem mass spectrometry

We have developed a simple, high-throughput batch immunoextraction (IAE) micropurification procedure for extracting a wide range of naturally occurring cytokinins (bases, ribosides, O- and N-glucosides, and nucleotides) from plant tissues in solutions that are compatible with ultra-performance liquid chromatography (UPLC), thereby facilitating sensitive subsequent analysis. The UPLC system was coupled to a tandem quadrupole mass spectrometer (MS/MS) equipped with an electrospray interface (ESI). Small (mg) amounts of tissues were purified by solid-phase extraction (SPE) followed by an immunoaffinity clean-up step and two fast chromatographic separations of most cytokinin metabolites (bases, ribosides, and 9-glucosides in the first, O-glucosides and nucleotides in the second). Using UPLC, the runs were up to 4-fold faster than in standard cytokinin analyses, and both retention times and injection volumes were less variable (RSDs, 0.15-0.3% and 1.0-5.5%, respectively). In multiple reaction monitoring (MRM) mode, the detection limit for most of the cytokinins analyzed was close to 1 fmol (5-25 fmol for O-glucosides and nucleotides) and the linear range spanned at least five orders of magnitude. The extraction and purification method was optimized using poplar (Populus × canadensis Moench, cv Robusta) leaf samples, and the analytical accuracy was further validated using IAE-purified 10-day-old Arabidopsis thaliana plants spiked with 1 and 10 pmol of cytokinin derivatives. This approach can be used for rapid, sensitive qualitative and/or quantitative analysis of more than 50 natural cytokinins in minute amounts of plant tissues with high performance, robustness, and accuracy.