A metabolomic comparison of urinary changes in type 2 diabetes in mouse, rat, and human.

Type 2 diabetes mellitus is the result of a combination of impaired insulin secretion with reduced insulin sensitivity of target tissues. There are an estimated 150 million affected individuals worldwide, of whom a large proportion remains undiagnosed because of a lack of specific symptoms early in this disorder and inadequate diagnostics. In this study, NMR-based metabolomic analysis in conjunction with multivariate statistics was applied to examine the urinary metabolic changes in two rodent models of type 2 diabetes mellitus as well as unmedicated human sufferers. The db/db mouse and obese Zucker (fa/fa) rat have autosomal recessive defects in the leptin receptor gene, causing type 2 diabetes. 1H-NMR spectra of urine were used in conjunction with uni- and multivariate statistics to identify disease-related metabolic changes in these two animal models and human sufferers. This study demonstrates metabolic similarities between the three species examined, including metabolic responses associated with general systemic stress, changes in the TCA cycle, and perturbations in nucleotide metabolism and in methylamine metabolism. All three species demonstrated profound changes in nucleotide metabolism, including that of N-methylnicotinamide and N-methyl-2-pyridone-5-carboxamide, which may provide unique biomarkers for following type 2 diabetes mellitus progression.

N-O glucuronidation: a major human metabolic pathway in the elimination of two novel anti-convulsant drug candidates.

1. The urinary metabolites of the anti-convulsant compound 4-amino-1-(2,6-difluorobenzyl)-1H-1,2,3-triazolo[4,5-c]-pyridine hydrochloride (GI265080) obtained following a single oral dose to man have been detected and quantified relative to each other using 19F-NMR spectroscopy. 2. The human urinary metabolites of GI265080 were isolated using semipreparative HPLC and unequivocally characterized using 1H-NMR spectroscopy, two-dimensional heteronuclear NMR spectroscopy and mass spectrometry. The assignments of the N-(5)-oxide and the N-(5)-O-glucuronide metabolites of GI265080 were further confirmed by independent synthesis. The urinary metabolites obtained following single oral doses to dog and rat have also been isolated and characterized. 3. The human urinary metabolites of GI265080 comprise the N-(5)-oxide, the quaternary N+-(5)-glucuronide, the 7-hydroxy glucuronide and a glucuronide conjugate of the N-(5)-oxide. The N-(5)-O-glucuronide conjugate is a novel species in human metabolism and is a significant route of elimination of GI265080 in man. 4. The urinary metabolites of the potential anti-convulsant GW273293 (6-amino-3-(2,3,5-trichlorophenyl)pyrazin-2-ylamine) obtained following a single oral dose to man have also been isolated and characterized. The formation of a novel N-O-glucuronide was also observed and was shown to constitute a significant route of elimination of GW273293 in man.

Mass directed peak selection, an efficient method of drug metabolite identification using directly coupled liquid chromatography-mass spectrometry-nuclear magnetic resonance spectroscopy.

Mass spectrometry (both MS and MS-MS) has been used to determine which eluting chromatography peaks in an LC-MS-nuclear magnetic resonance (NMR) experiment should be selected for extended NMR spectroscopic measurement. This mass directed selection of chromatographic peaks has been applied to test mixtures and urine samples for identification of drug metabolites. It was used to simultaneously determine when drug-related material was eluting and provided molecular mass information on these components. Stop-flow LC-NMR was used to acquire data for structural characterisation of drug-related components. This work further serves to demonstrate the potential of coupling tandem mass spectrometry using an ion trap spectrometer with LC-NMR spectroscopy, to provide an extremely powerful tool in structural elucidation.

Use of directly coupled ion-exchange liquid chromatography-mass spectrometry and liquid chromatography-nuclear magnetic resonance spectroscopy as a strategy for polar metabolite identification.

Ion-exchange LC-MS and LC-NMR have been successfully used to identify a novel N-acetyl metabolite of a highly polar drug candidate [2-(ethanimidoylamino)ethyl]sulfonyl alanine (GW273629) under development as a therapeutic agent. This has been achieved using a simple HPLC method without the need for complicated and time consuming pre- or post-column derivatisation. Ion-exchange chromatography using simple ionic strength buffer and organic solvent mobile phases, as applied here, should be suitable for the analysis of other charged polar species. Optimisation of the system described could result in the development of a rational generic HPLC approach specifically designed for the characterisation of polar drug molecules and their metabolites.

Urinary metabolites of a novel quinoxaline non-nucleoside reverse transcriptase inhibitor in rabbit, mouse and human: identification of fluorine NIH shift metabolites using NMR and tandem MS.

1. The urinary metabolites of (S)-2-ethyl-7-fluoro-3-oxo-3,4-dihydro-2H-quinoxaline-carboxylic acid isopropylester (GW420867X) have been investigated in samples obtained following oral administration to rabbit, mouse and human. GW420867X underwent extensive biotransformation to form hydroxylated metabolites and glucuronide conjugates on the aromatic ring, and on the ethyl and isopropyl side-chains in all species. In rabbit urine, a minor metabolite was detected and characterized as a cysteine adduct that was not observed in mouse or man. 2. The hydroxylated metabolites and corresponding glucuronide conjugates were isolated by semi-preparative HPLC and characterized using NMR, LC-NMR and LC-MS/MS. The relative proportions of fluorine-containing metabolites were determined in animal species by 19F-NMR signal integration. 3. The fluorine atom of the aromatic ring underwent NIH shift rearrangement in the metabolites isolated and characterized in rabbit, mouse and human urine. 4. The characterization of the NIH shift metabolites in urine enabled the detection and confirmation of the presence of these metabolites in human plasma.

Urinary metabolites of a novel quinoxaline non-nucleoside reverse transcriptase inhibitor in dog, cynomolgus monkey and mini-pig.

1. The metabolism of (S)-2-ethyl-7-fluoro-3-oxo-3,4-dihydro-2H-quinoxalinecarboxylic acid isopropylester (GW420867X) has been investigated following oral administration to dog, cynomolgus monkey and mini-pig. 2. The urinary metabolites were isolated and characterized using semi-preparative HPLC, NMR and LC-MS/MS. The relative proportions of fluorine-containing metabolites were determined for each species by 19F-NMR signal integration. 3. The metabolite profiles for each species were similar, although the proportion of individual components varied, suggesting that similar metabolic pathways are involved in the biotransformation of GW420867X in the species studied. 4. The urinary metabolites indicated that the major routes of biotransformation included hydroxylation and subsequent glucuronic acid conjugation on the aromatic ring, and on the ethyl and isopropyl side chains. A component was observed in mini-pig urine that corresponded to hydroxylation and glucuronidation accompanied by loss of the fluorine atom.

The use of preparative high performance liquid chromatography with tandem mass spectrometric directed fraction collection for the isolation and characterisation of drug metabolites in urine by nuclear magnetic resonance spectroscopy and liquid chromatography/sequential mass spectrometry.

Preparative high performance liquid chromatography (HPLC) coupled to tandem mass spectrometry has been used successfully for the isolation of several drug metabolites from urine. Nuclear magnetic resonance (NMR) spectroscopy has been employed to determine the exact chemical structure of these metabolites. The use of preparative HPLC has allowed the isolation of relatively large quantities of drug metabolites (> 0.5 mg) allowing insensitive, information-rich NMR experiments such as NOE, HMBC and HMQC to be performed. The coupling of the ion-trap mass spectrometer, operating in automatic MS/MS mode, to preparative HPLC allows the simultaneous collection and mass spectrometric analysis of eluting analytes to be performed, thus allowing the position of fractions containing drug-related material to be identified very rapidly.

Tandem mass spectrometry linked fraction collection for the isolation of drug metabolites from biological matrices.

An automated mass spectrometric linked fraction collection system is described which enables on-line examination of isolated components based on molecular-ion and product-ion information. This system has been used successfully to specifically isolate drug-related material from complex biological fluids to aid structural identification. Metabolites have been isolated with sufficient purity to allow unequivocal characterisation by 1H nuclear magnetic resonance spectroscopy. This system has the advantage that isolation of the components of interest is not triggered by a simple contact closure. Therefore fraction collection is not biased by limitations in either the detector (e.g. insufficient sensitivity) or the analyst (e.g. programmed collection of predicted metabolites only). Furthermore, all isolated components are readily available post fractionation for additional screening.

Hplc-nmr identification of the human urinary metabolites of (-)-cis-5-fluoro-1-[2-(hydroxymethyl)-1,3-oxathiolan-5-yl] cytosine, a nucleoside analogue active against human immunodeficiency virus (HIV).

1. Human urine samples from a clinical trial of the anti-HIV compound (-)-cis-5-fluoro-1-[2-(hydroxymethyl)-1,3-oxathiolan-5-yl]-cyto sin e (BW524W91) have been analysed using 19F-nmr and 1H-hplc-nmr spectroscopy. 2. The identities and relative levels of the xenobiotic species in the urine have been determined by 470-MHz 19F-nmr spectroscopy and by directly coupled 600-MHz 1H-hplc-nmr in the stop-flow mode with confirmation of the metabolite identities being made by comparison with nmr spectra of synthetic standard compounds. 3. The principal urinary xenobiotic was the unchanged drug, but the glucuronide ether conjugate at the 5' position of BW524W91, one of the two diastereomeric sulphoxides and the deaminated metabolite were also characterized. 4. The detection limit of directly coupled hplc-600-MHz 1H-nmr spectroscopy was evaluated by measuring two-dimensional nmr spectra of the glucuronide conjugate of BW524W91 and shown to be approximately 1 microgram material for 1H-1H-TOCSY and 20 micrograms metabolite for 1H-13C-HMQC spectra for overnight (16 h) acquisition.

Characterization of in vitro metabolites from human liver microsomes using directly coupled hplc-nmr: application to a phenoxathiin monoamine oxidase-A inhibitor.

1. The metabolism of 1-ethylphenoxathiin-10,10-dioxide (BW1370U87), an experimental compound designed as an inhibitor of monoamine oxidase-A for use as a possible anti-depression agent, has been studied in a human liver microsome preparation. 2. The identities of the metabolites have been determined using directly coupled hplc-1H nmr at 600 MHz in the stop-flow mode in this first study of in vitro xenobiotic metabolism using hplc-nmr. 3. The xenobiotic substances that were identified comprised the parent compound BW1370U87 (with -CH2CH3 at C1) together with sidechain-oxidized metabolites with C1 substituents of -CHOH.CH3, -CH2.CH2OH, -CHOH.CH2OH and -CH2.COOH, plus the unsubstituted phenoxathiin-10,10-dioxide.

Prediction of urinary sulphate and glucuronide conjugate excretion for substituted phenols in the rat using quantitative structure-metabolism relationships.

1. The quantitative urinary excretion of the sulphate and glucuronide metabolites of 15 substituted phenols dosed to rat has been determined using high resolution 19F-nmr spectroscopy. 2. The urinary metabolic fate of each of the compounds was related to a series of calculated physicochemical properties for each compound to produce quantitative structure-metabolism relationships (QSMRs). Using these calculated molecular properties it was possible to predict the urinary recovery of xenobiotic material as a percentage of the administered dose, to classify the compounds according to their 'dominant' metabolite pattern and to predict quantitatively the proportions of glucuronide and sulphate conjugates in the urine by the use of multiple linear regression. 3. The quantitative predictions were tested by cross-validation and good prediction of total xenobiotic urinary recovery as a percentage of the administered dose was achieved based on an equation involving the electrophilic superdelocalizability at C4 (para to the hydroxyl function), the smallest principal ellipsoid axis dimension and the heat of formation. The largest moment of inertia and the electrophilic superdelocalizability at C3 were found to be the most significant factors for the prediction of the percentage glucuronide in the urine, and the urinary excretion of sulphate conjugates as a percentage of total urinary recovery was negatively correlated with the glucuronide excretion as little parent compound was excreted.

Automatic reduction of NMR spectroscopic data for statistical and pattern recognition classification of samples.

A general method of automatically reducing NMR spectra to provide numerical descriptors of samples has been developed and investigated. These descriptors can be used as input to pattern recognition or multivariate algorithms for sample classification. The methods have been tested using 600 MHz one-dimensional 1H NMR spectra of biofluids which are complex mixtures. The approach is, in principle, applicable to multidimensional and heteronuclear NMR spectra and to other types of liquid samples such as oils and foodstuffs as well as to situations such as 1H or 31P NMR in vivo and solid state NMR in drug formulation analysis. The method relies upon apportioning the information in the spectra to individual contiguous segments and allowing specified regions of the spectra to be omitted. Three approaches, based on the number of peaks, the summed peak heights and the summed peak areas respectively in each segment, have been tested. The effect of segment width and overlap and the effects of manipulation of the NMR spectra have been evaluated in terms of the classification of the samples using principal components analysis. A simple method of generating NMR based spectral descriptors for object classification is thus proposed.

Automatic data reduction and pattern recognition methods for analysis of 1H nuclear magnetic resonance spectra of human urine from normal and pathological states.

Multivariate data analysis techniques have been used to compare 600-MHz 1H nuclear magnetic resonance (NMR) spectra of urine obtained from patients with inborn errors of metabolism (IEM) and urine obtained from healthy subjects. These spectra are very complex; each contains many thousands of resonances with a high dynamic range. A consistent method of reducing this wealth of data to manageable proportions is presented as a two-stage process. Computer-based spectral descriptors are automatically generated and then reduced to two-dimensional maps for visualization of clustering. Data-scaling methodology has been developed to achieve complete separation between spectra from control adults and those from adult patients with independently diagnosed IEM. The methods were refined by relating IEM samples to the mean of the control samples and applying supervised learning techniques to identify descriptors contributing to class separation. This approach allowed separation of the various classes of IEM and achieved optimal separation of patients with cystinuria from those with oxalic aciduria; the principal metabolites responsible for this separation were determined as lysine and glyoxalate. The methods developed were then extended by application to the more subtle problem of classifying urine collected from healthy subjects under different physiological conditions (i.e., pre- and post-exercise and in different stages of hydration) where, unlike the IEM case, any underlying biochemical differences were not known at the outset. Fluid-loaded and fluid-deprived samples could be partially separated as well as fluid-deprived and fluid-restored samples. Partial classification of samples on the basis of subject was also observed. Therefore, intersubject differences were liable to obscure the separation by physiological state. However, by relating each sample to a mean of the normal daily urine samples for the same person and applying a form of "range scaling" to exclude data which contributed least to class separation, improved classification of the hydration states resulted, from which it was possible to deduce those biochemical substances which were altered. These novel techniques for the data reduction and classification of NMR spectra make comprehensive use of all of the NMR spectral information and have clear potential to assist in clinical diagnosis.

Pattern recognition classification of the site of nephrotoxicity based on metabolic data derived from proton nuclear magnetic resonance spectra of urine.

The computer-based pattern recognition procedures of nonlinear mapping and principal-component analysis have been applied to analyze 1H NMR-generated metabolic data on the biochemical effects of 15 acute nephrotoxin treatments affecting the renal cortex and/or renal medulla in rats. The 1H NMR signal intensities for 16 urinary metabolites representative of several major intermediary biochemical pathways were estimated using either a simple semiquantitative scoring system or complete peak intensity quantitation. NMR-derived data were treated as input coordinates in a multidimensional metabolic space and were analyzed by pattern recognition methods through which the dimensionality was reduced for display and categorization purposes. Different nephrotoxin treatments were initially classified using semiquantitative metabolite scores on the basis of their 1H NMR-detectable biochemical effects, and a good separation of renal cortical toxin treatments from renal medullary toxin treatments was achieved. The refinement of using exact peak heights rather than metabolic data scores utilized the available metabolic information more fully and provided a unique classification of each type of toxin according to its pattern of biochemical effects and site of toxic action. Principal-component analysis provided consistently better results than did nonlinear mapping in terms of discrimination between different sites of toxicity, and maps generated from correlation matrices gave improved discrimination, compared with those based directly on the original metabolic data. A comparison between the use of an added internal quantitation standard (3-trimethylsilyl-[2,2,3,3-2H4]-1-propionate) and independently determined glucose excretion rates for scaling to the NMR-detected urinary glucose levels demonstrated that the consistent classification of site-specific nephrotoxicity was independent of the quantitation standard used. This study has provided a rigorous assessment of data processing, relative quantitation, and pattern recognition methods, and the utility of applying these methods to the classification of NMR-derived toxicological data. The considerable potential of the NMR-pattern recognition approach in the assessment of nephrotoxicity has also been confirmed with the discovery of new combinations of molecular markers of renal cellular damage.

600 MHz 1H-NMR spectroscopy of human cerebrospinal fluid: effects of sample manipulation and assignment of resonances.

Extensive assignments of resonances in the 600 MHz 1H-NMR spectra of cerebrospinal fluid are reported. These have been achieved by the measurement of a combination of two-dimensional experiments comprising homonuclear J-resolved, COSY45, and double-quantum filtered COSY (DQCOSY) spectra. By these means the previous total of 18 endogenous metabolites, of which in general only selected resonances have been assigned, has been augmented to 46 molecules including all of the resonances of both alpha- and beta-anomers of glucose. With only a few exceptions all resonances have been assigned for all of the metabolites. In addition, the effect of freeze-drying on the 600 MHz 1H-NMR spectrum of human cerebrospinal fluid (CSF) is presented using both lyophilization with reconstitution into either H2O or D2O. Freeze-drying and reconstitution into H2O causes a significant sharpening of many small molecule resonances, including notably those of glutamate and glutamine as well as other amino acids and in addition causes the loss of volatile components, principally acetone. Further exchange of the H2O solvent by D2O causes no additional changes in the spectra.

NMR spectroscopy of human post mortem cerebrospinal fluid: distinction of Alzheimer's disease from control using pattern recognition and statistics.

1H NMR spectra have been measured at 500 and 600 MHz on 23 human cerebrospinal fluid samples obtained at autopsy from Alzheimer's disease patients and controls. The spectra at 500 MHz were quantified using 42 descriptors based on NMR peak heights and it was shown that differences between the two classes were apparent in the delta 2.4-2.9 region. Remeasured at 600 MHz a detailed examination of this chemical shift range identified citrate, aspartate, N-acetyl aspartate, methionine and glutamate in this region of the spectra. Principal components analysis showed that a separation of the two classes was possible and detailed statistics indicated that citrate level was the principal marker. Patient age and the interval between death and autopsy (parameters not closely matched between the two groups) were examined statistically to establish whether these might account for the citrate differences. Although they could possibly account for them to some extent, the relationship between citrate levels and disease state remained significant at p < 0.05. The data invite a test of the importance of citrate levels in Alzheimer's disease using samples taken ex vivo.

Nuclear magnetic resonance spectroscopy and pattern recognition analysis of the biochemical processes associated with the progression of and recovery from nephrotoxic lesions in the rat induced by mercury(II) chloride and 2-bromoethanamine.

Nephrotoxic lesions were induced in Fischer 344 rats using HgCl2, a proximal tubular toxin, and 2-bromoethanamine (BEA), a medullary toxin. Biochemical effects of these toxins on urinary composition were observed by high resolution 1H NMR spectroscopy over 9 days after dosing. The onset of, progression of, and recovery from the induced toxic lesions were also followed histopathologically and related to the perturbed urinary biochemistry. Urinary concentrations of 20 endogenous substances were measured simultaneously by NMR at eight time points, to provide a time-related 20-dimensional description of the urinary biochemistry for each rat. Principal components analysis and nonlinear mapping were used to reduce the biochemical parameter spaces for each rat to two or three dimensions for display and classification purposes. An investigation of alternative data-presentation methods was made, and taking interanimal means of the map coordinates at each time point yielded a novel type of metabolic trajectory diagram with which the biochemical abnormalities associated with the HgCl2 and BEA lesions could be related to the progression and recovery phases of the toxic lesions. The time-course trajectories showed characteristically different paths for each toxin. These trajectories allowed the time points at which there were maximum metabolic differences to be determined and provided the visualization of net movements of the treatment group populations in time in relation to interanimal variation. Control animal urine samples subjected to this analysis showed simple clustering, with no evidence of metabolic trajectory. The trajectory for BEA showed different routes for onset of and recovery from toxicity, whereas for HgCl2 the outward trajectory (onset) mapped a space similar to the inward trajectory (recovery phase). This suggests that the NMR-detectable biochemical abnormalities after mercury toxicity mainly reflect the proportions of functional cells lining the nephron, whereas the biochemical abnormalities associated with renal medullary insult probably relate to functional integrity. An examination has been made for those metabolites that are most responsible for defining the trajectories, i.e., the discrimination of renal cortical and medullary toxicity from each other and from controls. These discriminatory metabolites (using paired t test, p < 0.001) included valine, taurine, trimethylamine N-oxide, and glucose for HgCl2 and acetate, methylamine, dimethylamine, lactate, and creatine for BEA, whereas citrate, succinate, N-acetyl resonances from as yet unidentified metabolites, hippurate, alanine, and 2-oxoglutarate played an important role in defining the biochemically perturbed trajectory of both toxins.(ABSTRACT TRUNCATED AT 400 WORDS)

Quantitative structure-metabolism relationships for substituted benzoic acids in the rat. Computational chemistry, NMR spectroscopy and pattern recognition studies.

An extensive set of computed molecular properties, both steric and electronic, have been calculated using molecular orbital and empirical methods for benzoic acid (1) and a congeneric series of substituted benzoic acids, i.e. 2-, 3- and 4-fluorobenzoic acids (2-4), 2-, 3- and 4-trifluoromethyl benzoic acids (5-7), 2-, 3- and 4-methylbenzoic acids (8-10), 4-amino benzoic acid (11), 2-fluoro-4-trifluoromethyl benzoic acid (12), 4-fluoro-2-trifluoromethyl benzoic acid (13), 3-trifluoromethyl-4-fluorobenzoic acid (14). We have monitored the urinary excretion profiles and determined the metabolic fate of compounds 2-7, 12-14 in the rat using high resolution 1H and 19F NMR spectroscopy. Corresponding data for compounds 1,8-11 are taken from the literature. In all cases phase II glucuronidation or glycine conjugation reactions dominated the metabolism of these compounds. Compounds 5, 7, 12, 13 have ester glucuronides as their major metabolites; the rest primarily form glycine conjugates. Compounds (1-12) have been classified according to their calculated physicochemical properties using pattern recognition methods and principal components maps have been used as a novel type of structure-metabolism diagram. The maps of compounds in the physicochemical property space served to separate the compounds into the two major classes which related to their principal metabolic fate in vivo, namely glucuronidation versus glycine conjugation. Compounds 13 and 14 were used as further probes of the property space, and dominant metabolic fates of glucuronidation and glycine conjugation, respectively, were predicted from the previous "training set map". The metabolic fate of compounds 1-14 can thus be classified according to a simple set of physicochemical rules. Investigation of the physicochemical properties which are important in distinguishing the metabolic fate of the compounds may give insight into key features of the drug-metabolizing enzyme active sites and hence provide information on basic mechanisms of benzoate metabolism.