John N. Haselden

Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry

Metabolism has an essential role in biological systems. Identification and quantitation of the compounds in the metabolome is defined as metabolic profiling, and it is applied to define metabolic changes related to genetic differences, environmental influences and disease or drug perturbations. Chromatography–mass spectrometry (MS) platforms are frequently used to provide the sensitive and reproducible detection of hundreds to thousands of metabolites in a single biofluid or tissue sample. Here we describe the experimental workflow for long-term and large-scale metabolomic studies involving thousands of human samples with data acquired for multiple analytical batches over many months and years. Protocols for serum- and plasma-based metabolic profiling applying gas chromatography–MS (GC-MS) and ultraperformance liquid chromatography–MS (UPLC-MS) are described. These include biofluid collection, sample preparation, data acquisition, data pre-processing and quality assurance. Methods for quality control–based robust LOESS signal correction to provide signal correction and integration of data from multiple analytical batches are also described.

Summary recommendations for standardization and reporting of metabolic analyses.

The Standard Metabolic Reporting Structures (SMRS) working group outlines its vision for an open,community-driven specification for the standardization and reporting of metabolic studies.The Standard Metabolic Reporting Structures (SMRS) working group outlines its vision for an open,community-driven specification for the standardization and reporting of metabolic studies.

A long-duration dihydroorotate dehydrogenase inhibitor (DSM265) for prevention and treatment of malaria

The antimalarial drug DSM265 displays activity against blood and liver stages of Plasmodium falciparum and has a long predicted half-life in humans. Long-acting new treatment for drug-resistant malaria Malaria kills 0.6 million people annually, yet current malaria drugs are no longer fully effective because the parasite that causes malaria is becoming resistant to these agents. Phillips et al. have identified a new drug that kills both drug-sensitive and drug-resistant malaria parasites by targeting the ability of the parasite to synthesize the nucleotide precursors required for synthesis of DNA and RNA. This drug kills parasites in both the blood and liver and is sufficiently long-acting that it is expected to cure malaria after a single dose or to be effective if dosed weekly for chemoprevention. Malaria is one of the most significant causes of childhood mortality, but disease control efforts are threatened by resistance of the Plasmodium parasite to current therapies. Continued progress in combating malaria requires development of new, easy to administer drug combinations with broad-ranging activity against all manifestations of the disease. DSM265, a triazolopyrimidine-based inhibitor of the pyrimidine biosynthetic enzyme dihydroorotate dehydrogenase (DHODH), is the first DHODH inhibitor to reach clinical development for treatment of malaria. We describe studies profiling the biological activity, pharmacological and pharmacokinetic properties, and safety of DSM265, which supported its advancement to human trials. DSM265 is highly selective toward DHODH of the malaria parasite Plasmodium, efficacious against both blood and liver stages of P. falciparum, and active against drug-resistant parasite isolates. Favorable pharmacokinetic properties of DSM265 are predicted to provide therapeutic concentrations for more than 8 days after a single oral dose in the range of 200 to 400 mg. DSM265 was well tolerated in repeat-dose and cardiovascular safety studies in mice and dogs, was not mutagenic, and was inactive against panels of human enzymes/receptors. The excellent safety profile, blood- and liver-stage activity, and predicted long half-life in humans position DSM265 as a new potential drug combination partner for either single-dose treatment or once-weekly chemoprevention. DSM265 has advantages over current treatment options that are dosed daily or are inactive against the parasite liver stage.

Effects of feeding and body weight loss on the 1H-NMR-based urine metabolic profiles of male Wistar Han Rats: Implications for biomarker discovery

For almost two decades, 1H-NMR spectroscopy has been used as an ‘open’ system to study the temporal changes in the biochemical composition of biofluids, including urine, in response to adverse toxic events. Many of these in vivo studies have reported changes in individual metabolites and patterns of metabolites that correlated with toxicological changes. However, many of the proposed novel biomarkers are common to a number of different types of toxicity. These may therefore reflect non-specific effects of toxicity, such as weight loss, rather than a specific pathology. A study was carried out to investigate the non-specific effects on urinary metabolite profiles by administering four hepatotoxic compounds, as a single dose, to rats at two dose levels: hydrazine hydrate (0.06 or 0.08 g kg−1), 1,2-dimethylhydrazine (0.1 or 0.3 g kg−1), α-napthylisothiocyanate (0.1 or 0.15 g kg−1) and carbon tetrachloride (1.58 or 3.16 g kg−1). The study included weight-matched control animals along with those that were dosed, which were then ‘pair-fed’ with the treated animals so they achieved a similar weight loss. The urinary metabolite profiles were investigated over time using 1H-NMR spectroscopy and compared with the pathology from the same animals. The temporal changes were analysed statistically using multivariate statistical data analysis including principal component analysis, partial least squares, parallel factor analysis and Fishers criteria. A number of metabolites associated with energy metabolism or which are partially dietary in origin, such as creatine, creatinine, tricarboxylic acid (TCA) cycle intermediates, phenylacetylglycine, fumarate, glucose, taurine, fatty acids and N-methylnicotinamide, showed altered levels in the urine of treated and pair-fed animals. Many of these changes correlated well with weight loss. Interestingly, there was no increase in ketone bodies (acetate and β-hydroxybutyrate), which might be expected if energy metabolism was switched from glycolysis to fatty acid β-oxidation. In some instances, the metabolites that changed were considered to be non-specific markers of toxicity, but were also identified as markers of a specific type of toxicity. For example, taurine was raised significantly in carbon tetrachloride-treated animals but reduced in the pair-fed group. However, raised urinary bile acid levels were only seen after α-napthylisothiocyanate treatment. The methodology, statistical analysis used and the data generated will help improve the identification of specific markers or patterns of urinary markers of specific toxic effects.

A metabonomic approach to the investigation of drug-induced phospholipidosis: an NMR spectroscopy and pattern recognition study

1H NMR spectroscopy of urine and pattern recognition analysis have been used to study the metabolic perturbations caused following dosing of five novel drug candidates, two of which (GWA, GWB) caused mild lung and liver phospholipidosis, whilst the rest (GWC-GWE) did not cause any detectable toxicity. Urine samples were collected predose, 0-8 h, 8-16 h, 16-24 h and 24-32 h after single, oral dosing with each compound to Han Wistar rats (n = 3 per group), and liver and lung samples for were taken at 48 h for histology. 1H NMR spectra of whole urine were acquired, processed and subsequently analysed using principal component analysis. All animals administered the drug candidates showed a significant reduction in serum triglycerides and those animals administered either GWA or GWB were observed to have foamy alveolar macrophages and the presence of multilamellar bodies in hepatocytes by electron microscopy. In the plot of the first two principal components, urinary spectra of those animals dosed with GWA or ...1H NMR spectroscopy of urine and pattern recognition analysis have been used to study the metabolic perturbations caused following dosing of five novel drug candidates, two of which (GWA, GWB) caused mild lung and liver phospholipidosis, whilst the rest (GWC-GWE) did not cause any detectable toxicity. Urine samples were collected predose, 0-8 h, 8-16 h, 16-24 h and 24-32 h after single, oral dosing with each compound to Han Wistar rats (n = 3 per group), and liver and lung samples for were taken at 48 h for histology. 1H NMR spectra of whole urine were acquired, processed and subsequently analysed using principal component analysis. All animals administered the drug candidates showed a significant reduction in serum triglycerides and those animals administered either GWA or GWB were observed to have foamy alveolar macrophages and the presence of multilamellar bodies in hepatocytes by electron microscopy. In the plot of the first two principal components, urinary spectra of those animals dosed with GWA or GWB mapped separately to controls, all pre-dose samples and animals dosed with GWC-GWE. Inspection of the principal components loadings indicated an increase in urinary phenylacetylglycine with a concomitant decrease in urinary citrate and 2-oxoglutarate, possibly constituting a novel urinary biomarker set for phospholipidosis. This work exemplifies the use of NMR spectroscopy and pattern recognition methods for the detection of novel biomarker combinations for poorly understood toxicity types and the potential in screening novel drugs for toxicity.(1)H NMR spectroscopy of urine and pattern recognition analysis have been used to study the metabolic perturbations caused following dosing of five novel drug candidates, two of which (GWA, GWB) caused mild lung and liver phospholipidosis, whilst the rest (GWC-GWE) did not cause any detectable toxicity. Urine samples were collected predose, 0-8 h, 8-16 h, 16-24 h and 24-32 h after single, oral dosing with each compound to Han Wistar rats (n = 3 per group), and liver and lung samples for were taken at 48 h for histology. (1)H NMR spectra of whole urine were acquired, processed and subsequently analysed using principal component analysis. All animals administered the drug candidates showed a significant reduction in serum triglycerides and those animals administered either GWA or GWB were observed to have foamy alveolar macrophages and the presence of multilamellar bodies in hepatocytes by electron microscopy. In the plot of the first two principal components, urinary spectra of those animals dosed with GWA or GWB mapped separately to controls, all pre-dose samples and animals dosed with GWC-GWE. Inspection of the principal components loadings indicated an increase in urinary phenylacetylglycine with a concomitant decrease in urinary citrate and 2-oxoglutarate, possibly constituting a novel urinary biomarker set for phospholipidosis. This work exemplifies the use of NMR spectroscopy and pattern recognition methods for the detection of novel biomarker combinations for poorly understood toxicity types and the potential in screening novel drugs for toxicity.

Metabolic characterization of distinct neuroanatomical regions in rats by magic angle spinning 1H nuclear magnetic resonance spectroscopy.

High‐resolution magic angle spinning (HRMAS) 1H NMR spectroscopy has been applied to the biochemical characterization of specific brain regions in rats in order to establish baseline levels of tissue metabolite profiles with which to compare models of neuropathology or toxic lesion. Cores of tissue (20 mg) from the brain stem, cerebellum, frontal cortex, and hippocampus were obtained from histologically defined coronal slices of brain from 18 male Sprague–Dawley rats. HRMAS 1H NMR spectra were acquired for each of the regions sampled and the degree of intersample variability, as assessed by principal components analysis and discriminant analysis by projection to latent structure was found to be low. Clear region‐specific differences in the biochemical profiles were observed using both comparison of metabolite ratios and/or pattern recognition methods. Relatively low concentrations of GABA in the cerebellum, high concentrations of taurine and N‐acetylaspartate in the cortex, and high levels of choline, glycerophosphocholine, and phosphocholine in the hippocampus predominantly influenced the classification of the different brain regions. Additionally, N‐acetylaspartylglutamate was detected in the brain stem, but was largely absent from the other regions examined. Such analyses provide a baseline reference for further HRMAS NMR spectroscopic studies to monitor disease and pharmacological insults in specific regions of the brain. Magn Reson Med 53:1018–1024, 2005.

Peak alignment of urine NMR spectra using fuzzy warping.

Proton nuclear magnetic resonance (1H NMR) spectroscopic analysis of mixtures has been used extensively for a variety of applications ranging from the analysis of plant extracts, wine, and food to the evaluation of toxicity in animals. For example, NMR analysis of urine samples has been used extensively for biomarker discovery and, more simply, for the construction of classification models of toxicity, disease, and biochemical phenotype. However, NMR spectra of complex mixtures typically show unwanted local peak shifts caused by matrix and instrument variability, which must be compensated for prior to statistical analysis and interpretation of the data. One approach is to align the spectral peaks across the data set. An efficient and fast warping algorithm is required as the signals typically contain ca. 32,000-64,000 data points and there can be several thousand spectra in a data set. As demonstrated in our study, the iterative fuzzy warping algorithm fulfills these requirements and can be used on-line for an alignment of the NMR spectra. Correlation coefficients between the aligned and target spectra are used as the evaluation function for the algorithm, and its performance is compared with those of other published warping methods.

Tryptophan–NAD+ pathway metabolites as putative biomarkers and predictors of peroxisome proliferation

The present study was designed to provide further information about the relevance of raised urinary levels of N-methylnicotinamide (NMN), and/or its metabolites N-methyl-4-pyridone-3-carboxamide (4PY) and N-methyl-2-pyridone-3-carboxamide (2PY), to peroxisome proliferation by dosing rats with known peroxisome proliferator-activated receptor α (PPARα) ligands [fenofibrate, diethylhexylphthalate (DEHP) and long-chain fatty acids (LCFA)] and other compounds believed to modulate lipid metabolism via PPARα-independent mechanisms (simvastatin, hydrazine and chlorpromazine). Urinary NMN was correlated with standard markers of peroxisome proliferation and serum lipid parameters with the aim of establishing whether urinary NMN could be used as a biomarker for peroxisome proliferation in the rat. Data from this study were also used to validate a previously constructed multivariate statistical model of peroxisome proliferation (PP) in the rat. The predictive model, based on 1H nuclear magnetic resonance (NMR) spectroscopy of urine, uses spectral patterns of NMN, 4PY and other endogenous metabolites to predict hepatocellular peroxisome count. Each treatment induced pharmacological (serum lipid) effects characteristic of their class, but only fenofibrate, DEHP and simvastatin increased peroxisome number and raised urinary NMN, 2PY and 4PY, with simvastatin having only a transient effect on the latter. These compounds also reduced mRNA expression for aminocarboxymuconate-semialdehyde decarboxylase (ACMSDase, EC 4.1.1.45), the enzyme believed to be involved in modulating the flux of tryptophan through this pathway, with decreasing order of potency, fenofibrate (−10.39-fold) >DEHP (−3.09-fold) >simvastatin (−1.84-fold). Of the other treatments, only LCFA influenced mRNA expression of ACMSDase (−3.62-fold reduction) and quinolinate phosphoribosyltransferase (QAPRTase, EC 2.4.2.19) (−2.42-fold) without any change in urinary NMN excretion. Although there were no correlations between urinary NMN concentration and serum lipid parameters, NMN did correlate with peroxisome count (r2=0.63) and acyl-CoA oxidase activity (r2=0.61). These correlations were biased by the large response to fenofibrate compared to the other treatments; nevertheless the data do indicate a relationship between the tryptophan–NAD+ pathway and PPARα-dependent pathways, making this metabolite a potentially useful biomarker to detect PP. In order to strengthen the observed link between the metabolites associated with the tryptophan–NAD+ pathway and more accurately predict PP, other urinary metabolites were included in a predictive statistical model. This statistical model was found to predict the observed PP in 26/27 instances using a pre-determined threshold of 2-fold mean control peroxisome count. The model also predicted a time-dependent increase in peroxisome count for the fenofibrate group, which is important when considering the use of such modelling to predict the onset and progression of PP prior to its observation in samples taken at autopsy.

Optimisation of collection, storage and preparation of rat plasma for 1H NMR spectroscopic analysis in toxicology studies to determine inherent variation in biochemical profiles

Biofluid 1H NMR spectroscopy has been assessed as a tool for toxicological investigations for almost two decades, with most studies focussing on urinary changes. This study has examined variations in the 1H NMR spectroscopy spectra of plasma collected from control rats at different times of the day. The collection, preparation and storage of samples were optimised and potential sources of variation in samples taken for toxicology studies identified. Plasma samples were collected into heparinised containers and analysed following a standard dilution with D(2)O. The value of deproteinising plasma with acetonitrile to look at low molecular weight metabolites has also been assessed. Variations in lactate and citrate levels in whole blood plasma were found and are consistent with the observation that lactate is one of the most variable metabolites in human plasma. Lipids levels also varied, in particular higher levels of lipids were found in spectra from male rats compared to female rats, and in samples collected in the morning following the feeding period. No significant changes were identified in samples which were snap-frozen and stored for up to 9 months at -80 degrees C. More changes were observed after storage at 4 degrees C or room temperature, including an increase in glycerol and choline levels, which may have resulted from lipid hydrolysis.

Metabonomic Characterization of the 3-Nitropropionic Acid Rat Model of Huntington’s Disease

Abstract3-Nitropropionic acid (3-NP)-induced neurotoxicity can be used as a model for the genetic neurodegenerative disorder Huntington’s disease (HD). A metabolic profiling strategy was adopted to explore the biochemical consequences of 3-NP administered to rats in specific brain regions. 1H NMR spectroscopy was used to characterize the metabolite composition of several brain regions following 3-NP-intoxication. Dose-dependent increases in succinate levels were observed in all neuroanatomical regions, resulting from the 3-NP-induced inhibition of succinate dehydrogenase. Global decreases in taurine and GABA were observed in the majority of brain regions, whereas altered lipid profiles were observed only in the globus pallidus and dorsal striatum. Depleted phosphatidylcholine and elevated glycerol levels, which are indicative of apoptosis, were also observed in the frontal cortex of the 3-NP model. Many of the metabolic anomalies are consistent with those reported in HD. The 3-NP-induced model of HD provides a means of monitoring potential mechanisms of pathology and therapeutic response for drug interventions, which can be efficiently assessed using metabolic profiling strategies.