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Extracellular adenosine, produced through the activity of ecto-5'-nucleotidase CD73, elicits potent immunosuppressive effects, and its upregulation in tumor cells as well as in stromal and immune cell subsets within the tumor microenvironment is hypothesized to represent an important resistance mechanism to current cancer immunotherapies. Soluble CD73 (sCD73) enzymatic activity measured in patient serum or plasma at a baseline is reported to have prognostic as well as predictive relevance, with higher sCD73 activity associating with poor overall and progression-free survival in melanoma patients undergoing anti-PD1 monoclonal antibody treatment. Here, we report a novel NMR-based method that measures the ex-vivo kinetics of sCD73 activity with high specificity and reproducibility and is suitable for future high-throughput implementation. Unlike the existing assays, this method has the advantage of directly and simultaneously measuring the concentration of both the CD73 substrate and product with minimal sample manipulation or special reagents. We establish the utility of the assay for measuring the activity of sCD73 in human serum and show a strong linear correlation between sCD73 protein levels and enzyme activity. Together with our finding that sCD73 appears to be the predominant activity for the generation of adenosine in human blood, our results demonstrate a link between activity and protein levels that will inform future clinical application.

Conjugation of macromolecular drugs to polyethylene glycol (PEG) improves their therapeutic potential by reducing their rate of degradation, thereby extending the drugs half life. As a substantial component of the drug, it is necessary to measure the pharmacokinetic (PK) characteristics of PEG in vivo. A quantitative NMR-based method was developed and successfully applied to measuring double-branched polyethylene glycol 40 kDa (PEG40) in serum samples, enabling determination of PK parameters of PEG40 in preclinical species. NMR is ideal for measuring such polymers because a single, sharp peak is obtained for all the equivalent methylene protons; this amplifies the signal and makes the method insensitive to polymeric heterogeneity. High field NMR (600 MHz) with proton-observe cryoprobe technology allowed for analysis of samples in 300 nM range. Mice received 50 mg/kg of PEG40 intravenously (IV) and serum samples were collected at regular intervals for up to 72 h after dosing. The serum samples were analyzed for PEG40 using the NMR method and PK parameters were calculated using non-compartmental analysis. The volume of distribution was determined to be 0.17 L/kg for IV dosing, indicating limited distribution to interstitial space. A low clearance and observed half life of 18 h is consistent with previous reports on the PK properties of a variety of different PEG molecules ranging from 3 kDa to 190 kDa using 125 I-labeled PEG in mice. The current NMR technique is easy to implement and does not require labeling of the PEG. Additionally, this is the first report, to our knowledge, of NMR spectroscopy application to PK profiling in serum., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Perturbation of organic anion transporter (OAT) 1- and OAT3-mediated transport can alter the exposure, efficacy, and safety of drugs. Although there have been reports of the endogenous biomarkers for OAT1/3, none of these have all of the characteristics required for a clinical useful biomarker. Cynomolgus monkeys were treated with intravenous probenecid (PROB) at a dose of 40 mg/kg in this study. As expected, PROB increased the area under the plasma concentration-time curve (AUC) of coadministered furosemide, a known substrate of OAT1 and OAT3, by 4.1-fold, consistent with the values reported in humans (3.1- to 3.7-fold). Of the 233 plasma metabolites analyzed using a liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based metabolomics method, 29 metabolites, including pyridoxic acid (PDA) and homovanillic acid (HVA), were significantly increased after either 1 or 3 hours in plasma from the monkeys pretreated with PROB compared with the treated animals. The plasma of animals was then subjected to targeted LC-MS/MS analysis, which confirmed that the PDA and HVA AUCs increased by approximately 2- to 3-fold by PROB pretreatments. PROB also increased the plasma concentrations of hexadecanedioic acid (HDA) and tetradecanedioic acid (TDA), although the increases were not statistically significant. Moreover, transporter profiling assessed using stable cell lines constitutively expressing transporters demonstrated that PDA and HVA are substrates for human OAT1, OAT3, OAT2 (HVA), and OAT4 (PDA), but not OCT2, MATE1, MATE2K, OATP1B1, OATP1B3, and sodium taurocholate cotransporting polypeptide. Collectively, these findings suggest that PDA and HVA might serve as blood-based endogenous probes of cynomolgus monkey OAT1 and OAT3, and investigation of PDA and HVA as circulating endogenous biomarkers of human OAT1 and OAT3 function is warranted., (Copyright © 2018 by The American Society for Pharmacology and Experimental Therapeutics.)

The use of NMR as a tool to determine 3 dimensional protein solution structures, once a darling of the pharmaceutical industry, has largely given way to study of the interaction of prospective drugs with macromolecular targets. Many of these approaches involve ligand-centered studies, which have the advantage of speed and efficiency, but there are also many approaches that take directly from our learnings in macromolecular NMR and provide greater structural detail yet are still optimized for rapid turn-around of information. In the evolution of NMR in the pharmaceutical industry, the unique strengths of NMR to provide dynamic and atomic level information continue to be exploited to discover and design new drugs. Numerous methods have been developed over the past two decades that fall into the categories of fragment-based pre-lead discovery, ligand binding studies and qualitative structural screening., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Objective: Characteristic pathological changes define the progression of steatosis to nonalcoholic steatohepatitis (NASH) and are correlated to metabolic pathways. A common rodent model of NASH is the methionine and choline deficient (MCD) diet. The objective of this study was to perform full metabolomic analyses on liver samples to determine which pathways are altered most pronouncedly in this condition in humans, and to compare these changes to rodent models of nonalcoholic fatty liver disease (NAFLD)., Methods: A principal component analysis for all 91 metabolites measured indicated that metabolome perturbation is greater and less varied for humans than for rodents., Results: Metabolome changes in human and rat NAFLD were greatest for the amino acid and bile acid metabolite families (e.g., asparagine, citrulline, gamma-aminobutyric acid, lysine); although, in many cases, the trends were reversed when compared between species (cholic acid, betaine)., Conclusions: Overall, these results indicate that metabolites of specific pathways may be useful biomarkers for NASH progression, although these markers may not correspond to rodent NASH models. The MCD model may be useful when studying certain end points of NASH; however, the metabolomics results indicate important differences between humans and rodents in the biochemical pathogenesis of the disease., (© 2017 The Obesity Society.)

A Chinese hamster ovary (CHO) bioprocess, where the product is a sialylated Fc-fusion protein, was operated at pilot and manufacturing scale and significant variation of sialylation level was observed. In order to more tightly control glycosylation profiles, we sought to identify the cause of variability. Untargeted metabolomics and transcriptomics methods were applied to select samples from the large scale runs. Lower sialylation was correlated with elevated mannose levels, a shift in glucose metabolism, and increased oxidative stress response. Using a 5-L scale model operated with a reduced dissolved oxygen set point, we were able to reproduce the phenotypic profiles observed at manufacturing scale including lower sialylation, higher lactate and lower ammonia levels. Targeted transcriptomics and metabolomics confirmed that reduced oxygen levels resulted in increased mannose levels, a shift towards glycolysis, and increased oxidative stress response similar to the manufacturing scale. Finally, we propose a biological mechanism linking large scale operation and sialylation variation. Oxidative stress results from gas transfer limitations at large scale and the presence of oxygen dead-zones inducing upregulation of glycolysis and mannose biosynthesis, and downregulation of hexosamine biosynthesis and acetyl-CoA formation. The lower flux through the hexosamine pathway and reduced intracellular pools of acetyl-CoA led to reduced formation of N-acetylglucosamine and N-acetylneuraminic acid, both key building blocks of N-glycan structures. This study reports for the first time a link between oxidative stress and mammalian protein sialyation. In this study, process, analytical, metabolomic, and transcriptomic data at manufacturing, pilot, and laboratory scales were taken together to develop a systems level understanding of the process and identify oxygen limitation as the root cause of glycosylation variability.

The growing field of biomarker bioanalysis by liquid chromatography mass spectrometry (LC-MS) is challenged with the selection of suitable matrices to construct relevant and valid calibration curves resulting in not only precise but also accurate data. Because surrogate matrices are often employed with the associated concerns about the accuracy of the obtained data, here we present an assay using surrogate analytes in naive biological matrices. This approach is illustrated with the analysis of endogenous bile acids (e-BAs) in serum and plasma using stable isotope-labeled (SIL) analogues as calibration standards to address the matrix concerns. Several deuterated BAs (d-BAs) were used as standards representing respectively grouped e-BAs with structural similarity allowing for the simultaneous bioanalysis of 16 e-BA. The utility of this LC-MS assay employing d-BAs is demonstrated with the analysis of samples resultant of a controlled metabolomics study where a cohort of rats was fed/fasted to investigate the change of e-BAs dependent on food consumption and fasting time., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Metabolomics has roots in the pharmaceutical industry that go back nearly three decades. Initially focused on applications in toxicology and disease pathology, more recent academic and commercial efforts have helped advance metabolomics as a tool to reveal the molecular basis of biological processes and pharmacological responses to drugs. This article will discuss areas where metabolomic technologies and applications are poised to have the greatest impact in the discovery and development of pharmaceuticals., (Copyright © 2015 Elsevier Ltd. All rights reserved.)

Nonalcoholic fatty liver disease (NAFLD) is a globally widespread disease of increasing clinical significance. The pathological progression of the disease from simple steatosis to nonalcoholic steatohepatitis (NASH) has been well defined, however, the contribution of altered branched chain amino acid metabolomic profiles to the progression of NAFLD is not known. The three BCAAs: leucine, isoleucine and valine are known to mediate activation of several important hepatic metabolic signaling pathways ranging from insulin signaling to glucose regulation. The purpose of this study is to profile changes in hepatic BCAA metabolite levels with transcriptomic changes in the progression of human NAFLD to discover novel mechanisms of disease progression. Metabolomic and transcriptomic data sets representing the spectrum of human NAFLD (normal, steatosis, NASH fatty, and NASH not fatty livers) were utilized for this study. During the transition from steatosis to NASH, increases in the levels of leucine (127% of normal), isoleucine (139%), and valine (147%) were observed. Carnitine metabolites also exhibited significantly elevated profiles in NASH fatty and NASH not fatty samples and included propionyl, hexanoyl, lauryl, acetyl and butyryl carnitine. Amino acid and BCAA metabolism gene sets were significantly enriched among downregulated genes during NASH. These cumulative alterations in BCAA metabolite and amino acid metabolism gene profiles represent adaptive physiological responses to disease-induced hepatic stress in NASH patients.

A method is described that allows noninvasive identification and quantitative assessment of lipid classes present in sebaceous excretions in rodents. The method relies on direct high-field proton NMR analysis of common group lipid protons in deuterated organic solvent extracts of fur. Extracts from as little as 15 mg of fur from rat, mouse, and hamster provided acceptable results on a 600 MHz NMR equipped with a cryogenically cooled proton-observe probe. In rats, sex- and age-related differences in lipid composition are larger than differences in fur collected from various body regions within an individual and much larger than interanimal differences in age- and sex-matched specimens. The utility of this method to noninvasively monitor drug-induced sebaceous gland atrophy in rodents is demonstrated in rats dosed with a stearoyl-CoA desaturase 1 (SCD1) inhibitor. In this model, a 35% reduction in sebum lipids, extracted from fur, was observed. Finally, structural elucidation of cholesta-7,24-dien-3β-ol ester as the most prominent, previously unidentified sebum sterol ester in male Syrian hamsters is described. The utility of this method for drug and cosmetic safety and efficacy assessment is discussed., (Copyright © 2014 by the American Society for Biochemistry and Molecular Biology, Inc.)

Background: The worldwide prevalences of nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH) are estimated to range from 30 to 40 % and 5-17 %, respectively. Hepatocellular carcinoma (HCC) is primarily caused by hepatitis B infection, but retrospective data suggest that 4-29 % of NASH cases will progress to HCC. Currently the connection between NASH and HCC is unclear., Aims: The purpose of this study was to identify changes in expression of HCC-related genes and metabolite profiles in NAFLD progression., Methods: Transcriptomic and metabolomic datasets from human liver tissue representing NAFLD progression (normal, steatosis, NASH) were utilized and compared to published data for HCC., Results: Genes involved in Wnt signaling were downregulated in NASH but have been reported to be upregulated in HCC. Extracellular matrix/angiogenesis genes were upregulated in NASH, similar to reports in HCC. Iron homeostasis is known to be perturbed in HCC and we observed downregulation of genes in this pathway. In the metabolomics analysis of hepatic NAFLD samples, several changes were opposite to what has been reported in plasma of HCC patients (lysine, phenylalanine, citrulline, creatine, creatinine, glycodeoxycholic acid, inosine, and alpha-ketoglutarate). In contrast, multiple acyl-lyso-phosphatidylcholine metabolites were downregulated in NASH livers, consistent with observations in HCC patient plasma., Conclusions: These data indicate an overlap in the pathogenesis of NAFLD and HCC where several classes of HCC related genes and metabolites are altered in NAFLD. Importantly, Wnt signaling and several metabolites are different, thus implicating these genes and metabolites as mediators in the transition from NASH to HCC.

Metabolomics has become an important tool for measuring pools of small molecules in mammalian cell cultures expressing therapeutic proteins. NMR spectroscopy has played an important role, largely because it requires minimal sample preparation, does not require chromatographic separation, and is quantitative. The concentrations of large numbers of small molecules in the extracellular media or within the cells themselves can be measured directly on the culture supernatant and on the supernatant of the lysed cells, respectively, and correlated with endpoints such as titer, cell viability, or glycosylation patterns. The observed changes can be used to generate hypotheses by which these parameters can be optimized. This chapter focuses on the sample preparation, data acquisition, and analysis to get the most out of NMR metabolomics data from CHO cell cultures but could easily be extended to other in vitro culture systems.

Bile acids (BAs) have many physiological roles and exhibit both toxic and protective influences within the liver. Alterations in the BA profile may be the result of disease induced liver injury. Nonalcoholic fatty liver disease (NAFLD) is a prevalent form of chronic liver disease characterized by the pathophysiological progression from simple steatosis to nonalcoholic steatohepatitis (NASH). The hypothesis of this study is that the 'classical' (neutral) and 'alternative' (acidic) BA synthesis pathways are altered together with hepatic BA composition during progression of human NAFLD. This study employed the use of transcriptomic and metabolomic assays to study the hepatic toxicologic BA profile in progressive human NAFLD. Individual human liver samples diagnosed as normal, steatosis, and NASH were utilized in the assays. The transcriptomic analysis of 70 BA genes revealed an enrichment of downregulated BA metabolism and transcription factor/receptor genes in livers diagnosed as NASH. Increased mRNA expression of BAAT and CYP7B1 was observed in contrast to decreased CYP8B1 expression in NASH samples. The BA metabolomic profile of NASH livers exhibited an increase in taurine together with elevated levels of conjugated BA species, taurocholic acid (TCA) and taurodeoxycholic acid (TDCA). Conversely, cholic acid (CA) and glycodeoxycholic acid (GDCA) were decreased in NASH liver. These findings reveal a potential shift toward the alternative pathway of BA synthesis during NASH, mediated by increased mRNA and protein expression of CYP7B1. Overall, the transcriptomic changes of BA synthesis pathway enzymes together with altered hepatic BA composition signify an attempt by the liver to reduce hepatotoxicity during disease progression to NASH., (Copyright © 2013 Elsevier Inc. All rights reserved.)

Liquid chromatography coupled to mass spectrometry (LC-MS) is a major platform in metabolic profiling but has not yet been comprehensively assessed as to its repeatability and reproducibility across multiple spectrometers and laboratories. Here we report results of a large interlaboratory reproducibility study of ultra performance (UP) LC-MS of human urine. A total of 14 stable isotope labeled standard compounds were spiked into a pooled human urine sample, which was subject to a 2- to 16-fold dilution series and run by UPLC coupled to time-of-flight MS at three different laboratories all using the same platform. In each lab, identical samples were run in two phases, separated by at least 1 week, to assess between-day reproducibility. Overall, platform reproducibility was good with median mass accuracies below 12 ppm, median retention time drifts of less than 0.73 s and coefficients of variation of intensity of less than 18% across laboratories and ionization modes. We found that the intensity response was highly linear within each run, with a median R(2) of 0.95 and 0.93 in positive and negative ionization modes. Between-day reproducibility was also high with a mean R(2) of 0.93 for a linear relationship between the intensities of ions recorded in the two phases across the laboratories and modes. Most importantly, between-lab reproducibility was excellent with median R(2) values of 0.96 and 0.98 for positive and negative ionization modes, respectively, across all pairs of laboratories. Interestingly, the three laboratories observed different amounts of adduct formation, but this did not appear to be related to reproducibility observed in each laboratory. These studies show that UPLC-MS is fit for the purpose of targeted urinary metabolite analysis but that care must be taken to optimize laboratory systems for quantitative detection due to variable adduct formation over many compound classes.

The overnight (16-h) fast is one of the most common experimental manipulations performed in rodent studies. Despite its ubiquitous employment, a comprehensive evaluation of metabolomic and transcriptomic sequelae of fasting in conjunction with routine clinical pathology evaluation has not been undertaken. This study assessed the impact of a 16-h fast on urine and serum metabolic profiles, transcript profiles of liver, psoas muscle, and jejunum as well as on routine laboratory clinical pathology parameters. Fasting rats had an approximate 12% relative weight decrease compared to ad libitum fed animals, and urine volume was significantly increased. Fasting had no effect on hematology parameters, though several changes were evident in serum and urine clinical chemistry data. In general, metabolic changes in biofluids were modest in magnitude but broad in extent, with a majority of measured urinary metabolites and from 1/3 to 1/2 of monitored serum metabolites significantly affected. Increases in fatty acids and bile acids dominated the upregulated metabolites. Downregulated serum metabolites were dominated by diet-derived and/or gut-microflora derived metabolites. Major transcriptional changes included genes with roles in fatty acid, carbohydrate, cholesterol, and bile acid metabolism indicating decreased activity in glycolytic pathways and a shift toward increased utilization of fatty acids. Typically, several genes within these metabolic pathways, including key rate limiting genes, changed simultaneously, and those changes were frequently correlative to changes in clinical pathology parameters or metabolomic data. Importantly, up- or down-regulation of a variety of cytochrome P450s, transporters, and transferases was evident. Taken together, these data indicate profound consequences of fasting on systemic biochemistry and raise the potential for unanticipated interactions, particularly when metabolomic or transcriptomic data are primary end points.

NMR spectroscopy was used to evaluate growth media and the cellular metabolome in two systems of interest to biomedical research. The first of these was a Chinese hamster ovary cell line engineered to express a recombinant protein. Here, NMR spectroscopy and a quantum mechanical total line shape analysis were utilized to quantify 30 metabolites such as amino acids, Krebs cycle intermediates, activated sugars, cofactors, and others in both media and cell extracts. The impact of bioreactor scale and addition of anti-apoptotic agents to the media on the extracellular and intracellular metabolome indicated changes in metabolic pathways of energy utilization. These results shed light into culture parameters that can be manipulated to optimize growth and protein production. Second, metabolomic analysis was performed on the superfusion media in a common model used for drug metabolism and toxicology studies, in vitro liver slices. In this study, it is demonstrated that two of the 48 standard media components, choline and histidine are depleted at a faster rate than many other nutrients. Augmenting the starting media with extra choline and histidine improves the long-term liver slice viability as measured by higher tissues levels of lactate dehydrogenase (LDH), glutathione and ATP, as well as lower LDH levels in the media at time points out to 94 h after initiation of incubation. In both models, media components and cellular metabolites are measured over time and correlated with currently accepted endpoint measures.

Metabolomics, also referred to in the literature as metabonomics, is a relatively new systems biology tool for drug discovery and development and is increasingly being used to obtain a detailed picture of a drug's effect on the body. Metabolomics is the qualitative assessment and relative or absolute quantitative measurement of the endogenous metabolome, defined as the complement of all native small molecules (metabolites less than 1,500 Da). A metabolomics study frequently involves the comparative analysis of sample sets from a normal state and a perturbed state, where the perturbation can be of any nature, such as genetic knockout, administration of a drug, or change in diet or lifestyle. Advances in mass spectrometry (MS) technologies including direct introduction or in-line chromatographic separation modes, ionization techniques, mass analyzers, and detection methods have provided powerful tools to assess the molecular changes in the metabolome. This review focuses on advances in MS pertaining to the analytical data generation for the main metabolomics methods, namely, fingerprinting, nontargeted, and targeted approaches, as they are applied to pharmaceutical drug discovery and development.

Withdrawals from the market due to unforeseen adverse events have triggered changes in the way therapeutics are discovered and developed. This has resulted in an emphasis on truly understanding the efficacy and toxicity profile of new chemical entities (NCE) and the contributions of their metabolites to on-target pharmacology and off-target receptor-mediated toxicology. Members of the pharmaceutical industry, scientific community and regulatory agencies have held dialogues with respect to metabolites in safety testing (MIST); and both the US FDA and International Conference on Harmonisation have issued guidances with respect to when and how to characterize metabolites for human safety testing. This review provides a brief overview of NMR spectroscopy as applied to the structure elucidation and quantification of drug metabolites within the drug discovery and development process. It covers advances in this technique, including cryogenic cooling of detection circuitry for enhanced sensitivity, hyphenated LC-NMR techniques, improved dynamic range through new solvent-suppression pulse sequences and quantitation. These applications add to the already diverse NMR toolkit and further anchor NMR as a technique that is directly applicable to meeting the requirements of MIST guidelines.

We have developed an ultra performance liquid chromatography-mass spectrometry (UPLC-MS(E)) method to measure bile acids (BAs) reproducibly and reliably in biological fluids and have applied this approach for indications of hepatic damage in experimental toxicity studies. BAs were extracted from serum using methanol, and an Acquity HSS column coupled to a Q-ToF mass spectrometer was used to separate and identify 25 individual BAs within 5 min. Employing a gradient elution of water and acetonitrile over 21 min enabled the detection of a wide range of endogenous metabolites, including the BAs. The utilization of MS(E) allowed for characteristic fragmentation information to be obtained in a single analytical run, easily distinguishing glycine and taurine BA conjugates. The proportions of these conjugates were altered markedly in an experimental toxic state induced by galactosamine exposure in rats. Principally, taurine-conjugated BAs were greatly elevated ( approximately 50-fold from control levels), and were highly correlated to liver damage severity as assessed by histopathological scoring (r = 0.83), indicating their potential as a sensitive measure of hepatic damage. The UPLC-MS approach to BA analysis offers a sensitive and reproducible tool that will be of great value in exploring both markers and mechanisms of hepatotoxicity and can readily be extended to clinical studies of liver damage.

High-resolution (1)H magic angle spinning (MAS) NMR spectroscopy is a useful tool for analysing intact tissues as a component of metabonomic studies. The effect of referencing MAS NMR spectra to the chemical shifts of glucose or to that or trimethylsilylpropionic acid on the resultant multivariate statistical models have been investigated. It is shown that referencing to known chemical shifts of either alpha-glucose or beta-glucose in (1)H MAS NMR-based metabolic data of intact liver tissues is preferred. This has been exemplified in studies of galactosamine toxicity in the rat where co-administration of glycine ameliorates the toxic response. This approach leads to better aligned sets of spectra and reduces the inter-sample variability in multivariate statistical models. If glucose is not present in the tissue under study, then a number of alternative internal reference chemical shifts are presented. Finally, the chemical shift difference between that of the anomeric H1 proton of alpha-glucose and residual water is confirmed as a suitable internal temperature calibration method.

The amino sugar galactosamine (galN) induces alterations in the hepatic uridine nucleotide pool and has been widely used as a model of human viral hepatitis. Histopathological and clinical chemistry analyses of a cohort of rats following administration of galN revealed extreme interindividual variability in the extent of the toxic response which enabled classification of 'responder' and 'non-responder' phenotypes. An integrative metabolic profiling approach was applied to characterize biomarkers of exposure to galN in urine, serum, feces and liver from responders and non-responders. The presence of N-acetylglucosamine and galN in the urine correlated with the occurrence and extent of toxic response. Conversely, the novel identification of galN-pyrazines in the feces of non-responders and their virtual absence in the feces of responders suggests an alternative means of distribution and metabolism of galN in non-responders. The absence of the UDP-hexosamines in the liver of non-responders further supports differential metabolism of galN and suggests an ability of non-responders to avoid UDP-glucose depletion. An observed disturbance of gut microbial derived metabolites in the urine and feces of non-responders may suggest a role of the microflora in reducing the effective dose of galN. This systems level metabonomic approach has provided new mechanistic insights into differential response to galN and is widely applicable to the study of interindividual variation in metabolism for any xenobiotic intervention.

Unlike plasma and most biological fluids which have solute concentrations that are tightly controlled, urine volume can vary widely based upon water consumption and other physiological factors. As a result, the concentrations of endogenous metabolites in urine vary widely and normalizing for these effects is necessary. Normalization approaches that utilized urine volume, osmolality, creatinine concentration, and components that are common to all samples ("total useful MS signal") were compared in order to determine which strategies could be successfully used to differentiate between dose groups based upon the complete endogenous metabolite profile. Variability observed in LC/MS results obtained from targeted and non-targeted metabonomic analyses was highly dependent on the strategy used for normalization. We therefore recommend the use of two different normalization techniques in order to facilitate detection of statistically significant changes in the endogenous metabolite profile when working with urine samples.

A NMR spectroscopic method is described that enables the quantitation of specific lipid classes and components, independent of fatty acid composition. We demonstrate this method for measuring cholesterol, squalene, and pools of sterol esters, wax esters (WEs), and triglyceride (TG) components in sebum and meibum. When 600 MHz NMR equipment is used in conjunction with highly sensitive cryogenically cooled probes, this method has adequate sensitivity, and for some applications, advantages over commonly used HPLC-evaporative light-scattering detection and mass spectrometry-based approaches. This method is shown to be useful for preclinical and clinical monitoring of the efficacy of sebum-reducing agents in animals and humans. In Syrian hamsters, 3% topical flutamide and 20 mg/kg oral isotretinoin reduced sterol esters by 18.7% and 30.0%, respectively, and reduced WEs by 32.9% and 31.8%, respectively, as measured in a punch biopsy of the ear. In a 72 patient clinical methodology study, the assay delivered reproducible and noninvasive measurements of WEs, cholesteryl esters, TGs, and squalene from Sebutape skin blots. The quantitative results of sebum analysis obtained by the NMR method correlate well with those obtained with HPLC-based approaches. This approach may be broadly applicable to cases in which fatty acid-independent quantification of lipid classes is desired.

Phosphoinositide 3-kinase (PI3K) is an enzyme fundamental to the regulation of various metabolic processes. Metabonomic studies were undertaken in order to gain mechanistic insight into significant, yet unexplained, toxicity issues associated with PF 376304, a nonspecific PI3K inhibitor under development for anti-inflammatory indications. Two experiments were conducted in which rats were given daily doses of up to 1000 mg of PF 376304/kg for as long as 7 days. Mortality rapidly ensued (within 72 h) at doses of >or=300 mg/kg. Doses of >or=100 mg/kg were associated with a profound but transient glucosuria. Despite the magnitude of this effect, within 72 h urinary glucose excretion in surviving animals returned to control levels even with continued dosing. Other metabolic effects associated with drug treatment included increased urinary beta-hydroxybutyrate and creatine and decreased citrate. A time-course study revealed elevated serum glucose within 1 h, followed by increases in serum insulin and decreases in serum triglycerides. Serum corticosterone was also significantly elevated within 1 h of treatment. All metabolic effects were largely reversed within 24 h of administration of the third daily dose and remained that way through day 7. The likely explanation for the onset of effects involves the role of PI3K in regulation of glucose at multiple points, but the reversal of the effects in the presence of continued exposure to the drug has not been explained. Finally, the data demonstrate the power of metabonomics technology in mechanistic toxicology investigations.

As part of our ongoing development of methods for enhanced biomarker information recovery from spectroscopic data we present the first example of a new hetero-nuclear statistical total correlation spectroscopy (HET-STOCSY) approach applied to intact tissue samples collected as part of a toxicological study. One-dimensional 1H and 31P-{1H} magic angle spinning (MAS) NMR spectra of intact liver samples after galactosamine (galN) treatment to rats and after cotreatment of galN plus uridine were collected at 275 K. Individual samples were also followed by 1H and 31P-{1H} MAS NMR through time generating time dependent modulations in metabolite signatures relating to toxicity. High-resolution 1H NMR spectra of urine and plasma and clinical chemical data were also collected to establish a biological framework in which to place these novel statistical heterospectroscopic data. In HET-STOCSY, calculation of the covariance between the 31P-{1H} and 1H NMR signals of phosphorus containing metabolites allows their molecular connectivities to be established and the construction of virtual two-dimensional heteronuclear correlation spectra that connect all protons on the molecule to the heteroatom. We show how HET-STOCSY applied to MAS NMR spectra of liver samples can be used to augment biomarker detection. This approach is generic and can be applied to correlate the covarying signals for any spin-active nuclei where there is parallel or serial collection of data.

Previously, we identified two distinct metabonomic phenotypes in Sprague-Dawley rats sourced from two different rooms (colonies) in the Charles River, Raleigh facility [Robosky, L. C., Wells, D. F., Egnash, L. A., Manning, M. L., Reily, M. D., and Robertson, D. G. (2005) Metabonomic identification of two distinct phenotypes in Sprague-Dawley (Crl:CD(SD)) rats. Toxicol. Sci. 87, 277-284]. On the basis of literature reports and cohabitation experiments, we concluded that the differing phenotypes were due to different gut flora populations. One hypothesis explaining this phenomenon was attributed to the practice of initiating new colonies with rats derived from foundation colonies that had limited gut floral populations, the Charles River altered Schaedler flora (CRASF) rats. We hypothesized that the lack of differentiation of CRASF rats to the full complement of microflora was responsible for the altered phenotype characterized by increased urinary chlorogenic acid metabolites and decreased hippurate (CA rats) as opposed to the prevalent phenotype characterized by the inverse ratio of these metabolites (HIP rats). Upon receipt, it was confirmed that the CRASF rats exhibited a metabonomic profile similar to CA rats that remained constant while animals were housed individually in a dedicated animal room. However, exposure of CRASF rats to HIP rats, or their bedding, led to a relatively rapid but variable rate of reversion to the historic HIP type metabolic profile. On the basis of the results, we conclude that CRASF rats have a unique metabolic profile due to their limited gut flora constitution. If rigorous isolation procedures are not employed, the CRASF phenotype will eventually differentiate into the more typical HIP phenotype with a time course that may be quite variable. Given the marked metabolic heterogeneity between the phenotypes, this work highlights the importance of monitoring rat metabolic profiles.

There is a general consensus that supports the need for standardized reporting of metadata or information describing large-scale metabolomics and other functional genomics data sets. Reporting of standard metadata provides a biological and empirical context for the data, facilitates experimental replication, and enables the re-interrogation and comparison of data by others. Accordingly, the Metabolomics Standards Initiative is building a general consensus concerning the minimum reporting standards for metabolomics experiments of which the Chemical Analysis Working Group (CAWG) is a member of this community effort. This article proposes the minimum reporting standards related to the chemical analysis aspects of metabolomics experiments including: sample preparation, experimental analysis, quality control, metabolite identification, and data pre-processing. These minimum standards currently focus mostly upon mass spectrometry and nuclear magnetic resonance spectroscopy due to the popularity of these techniques in metabolomics. However, additional input concerning other techniques is welcomed and can be provided via the CAWG on-line discussion forum at http://msi-workgroups.sourceforge.net/ or http://Msi-workgroups-feedback@lists.sourceforge.net. Further, community input related to this document can also be provided via this electronic forum.

1H NMR spectroscopy was used to investigate the metabolic effects of the hepatotoxin galactosamine (galN) and the mechanism by which glycine protects against such toxicity. Rats were acclimatized to a 0 or 5% glycine diet for 6 days and subsequently administered vehicle, galN (500 mg/kg), glycine (5% via the diet), or both galN and glycine. Urine was collected over 12 days prior to administration of galN and for 24 hours thereafter. Serum and liver tissue were sampled on termination, 24 hours post-dosing. The metabolic profiles of biofluids and tissues were determined using high-field 1H NMR spectroscopy. Orthogonal-projection to latent structures discriminant analysis (O-PLS-DA) was applied to model the spectral data and enabled the hepatic, urinary, and serum metabolites that discriminated between control and treated animals to be determined. Histopathological data and clinical chemistry measurements confirmed the protective effect of glycine. The level of N-acetylglucosamine (glcNAc) in the post-dose urine was found to correlate strongly with the degree of galN-induced liver damage, and the urinary level of glcNAc was not significantly elevated in rats treated with both galN and glycine. Treatment with glycine alone was found to significantly increase hepatic levels of uridine, UDP-glucose, and UDP-galactose, and in view of the known effects of galactosamine, this suggests that the protective role of glycine against galN toxicity might be mediated by changes in the uridine nucleotide pool rather than by preventing Kupffer cell activation. Thus, we present a novel hypothesis: that administration of glycine increases the hepatic uridine nucleotide pool which counteracts the galN-induced depletion of these pools and facilitates complete metabolism of galN. These novel data highlight the applicability of NMR-based metabonomics in elucidating multicompartmental metabolic consequences of toxicity and toxic salvage.

Metabonomics has emerged as a key technology in pharmaceutical discovery and development, evolving as the small molecule counterpart of transcriptomics and proteomics. In drug discovery laboratories, metabonomics aids in target identification, phenotyping, and the understanding of the biochemical basis of disease and toxicity. This review focuses on three areas where metabonomics is used in the industry: (1) analytical considerations, (2) chemometric and statistical concerns, and (3) biological aspects and applications.

A new NMR chemical shift standard and pH indicator, difluorotrimethylsilanylphosphonic acid (DFTMP), is described, and the utility of this reagent is demonstrated for in situ determination of pH in complex biofluids. The pH dependence of this reagent allows accurate in situ determination of aqueous solution pH to within an RMSE of 0.02 pH units over a pH range of 5 to 8. Advantages of this reagent over previously described pH-sensitive components include (1) lack of metal binding affinity, (2) minimal disturbance of endogenous spectral regions, and (3) the potential to function as a multinuclear pH indicator and chemical shift reference point for 19F, 1H, and 31P nuclei. This reagent will be generally useful for NMR experiments on biological systems where the pH needs to be accurately measured at the moment of data acquisition.

The cardiovascular injury of the type III selective PDE inhibitor SK&F 95654 was investigated in SHR. Twenty-four hours after a single sc injection of 100 or 200 mg/kg of the drug, rats exhibited cardiomyocyte necrosis and apoptosis, interstitial inflammation, hemorrhage and edema, as well as mesenteric arterial hemorrhage and necrosis, periarteritis, EC and VSMC apoptosis, EC activation, and MC activation and degranulation. Elevated serum levels of cTnT and decreased cTnT immunoperoxidase staining on cardiomyocytes were detected in the drug-treated rats. Serum levels of alpha2-macroglobulin and IL-6 were significantly elevated following drug treatment. NMR spectral patterns of urine samples are significantly different between the drug-treated and control rats. These results indicate that measurement of serum cTnT, acute phase proteins, and cytokines as well as metabonomic urine profiles may serve as potential biomarkers for drug-induced cardiovascular injury in rats. Increased expression of CD63 on MC (tissue biomarker of MC), of nitrotyrosine on MC and EC (an indirect indicator of NO in vivo), and of iNOS on MC and EC (source of NO) suggest that NO produced by activated and degranulated MC as well as activated EC play an important role in SK&F 95654-induced mesenteric vascular injury.

Metabonomics has emerged as a key technology in preclinical drug discovery and development. The technology enables noninvasive systems assessment of untoward effects induced by candidate compounds characterising a broad spectrum of biological responses on an individual animal basis in a relatively rapid-throughput fashion, thus making it an ideal addition to early preclinical safety assessment. However, the implementation and interpretation of the technology and data it generates is not something that should be trivialised. Proper expertise in biological sciences, analytical sciences (nuclear magnetic resonance and/or mass spectrometry) and chemometrics should all be considered necessary prerequisites. If these factors are properly considered, the technology can add significant value as a tool for preclinical toxicologists.

Genetic drift in animal populations has been a recognized concern for many years. Less understood is the potential for phenotypic "drift" or variation that is not related to any genetic change. Recently, stock Sprague-Dawley (Crl:CD(SD)) rats obtained from the Charles River Raleigh facility demonstrated a distinct endogenous urinary metabonomic profile that differed from historical control SD urine spectral profiles obtained over the past several years in our laboratory. In follow-up studies, the origin of the variant phenotype was narrowed down to animals of both sexes that were housed in one specific room (Room 9) in the Raleigh facility. It is likely that the two phenotypes are related to distinct populations of gut flora that particularly impact the metabolism of aromatic molecules. The most pronounced difference between the two phenotypes is the relative amounts of hippuric acid versus other aromatic acid metabolites of chlorogenic acid. Though both molecular species are present in either phenotype, the marked variation in levels of these molecules between the two phenotypes has led to the designation of high hippuric acid (HIP) and high chlorogenic acid metabolites (CA) phenotypes. Specific urinary components that distinguish the phenotypes have been thoroughly characterized by NMR spectroscopy with additional, limited characterization by LC-MS (high performance liquid chromatography coupled with mass spectrometry). Co-habitation of rats from the two phenotypes rapidly facilitated a switch of the CA phenotype to the historical Sprague-Dawley phenotype (HIP). The impact of these variant phenotypes on drug metabolism and long-term safety assessment studies (e.g., carcinogenicity bioassays) is unknown.

Troglitazone (TGZ), the first glitazone used for the treatment of type II diabetes mellitus and removed from the market for liver toxicity, was shown to bind covalently to microsomal protein and glutathione (GSH) following activation by cytochrome P450 (P450). The covalent binding of (14)C-TGZ in dexamethasone-induced rat liver microsomes was NADPH-dependent and required the active form of P450; it was completely inhibited by ketoconazole (10 microM) and GSH (4 mM). The covalent binding in P450 3A4 Supersomes (9.2 nmol of TGZ Eq/nmol P450) was greater than that with P450 1A2 (0.7), 2C8 (3.7), 2C19 (1.4), 2E1 (0.6), and 2D6 (1.1) and 3A5 (3.0). The covalent binding in liver microsomes from rats pretreated with dexamethasone (5.3 nmol of TGZ Eq bound/nmol P450) was greater than that from rats pretreated with vehicle (3.5), beta-naphthoflavone (0.4), phenobarbital (1.1), or pyridine (2.5). A TGZ-GSH adduct was detected by liquid chromatography-tandem mass spectrometry and radioactivity detection with a deprotonated quasi-molecular ion [M-H](-) at m/z 745, with fragment ions at m/z 438 (deprotonated TGZ moiety), and at m/z 306 (deprotonated GSH moiety). The TGZ-GSH adduct was determined to be 5-glutathionyl-5-[4-(6-hydroxy-2,5,7,8-tetramethylchroman-2-ylmethoxy)benzyl]-thiazolidine-2,4-dione based on collision-induced dissociation fragmentation, and one- and two-dimensional NMR analysis of the isolated adduct. The synthetic 5-hydroxy TGZ and the benzylidene derivative of TGZ did not react with GSH or GSH ethyl ester. The mechanisms for metabolic activation of TGZ may involve an ultimate reactive sulfonium ion which could be formed from an initial sulfoxide followed by a formal Pummerer rearrangement, or a C5 thiazolidinedione radical or a sulfur cation radical.

The role that metabonomics has in the evaluation of xenobiotic toxicity studies is presented here together with a brief summary of published studies. To provide a comprehensive assessment of this approach, the Consortium for Metabonomic Toxicology (COMET) has been formed between six pharmaceutical companies and Imperial College of Science, Technology and Medicine (IC), London, UK. The objective of this group is to define methodologies and to apply metabonomic data generated using (1)H NMR spectroscopy of urine and blood serum for preclinical toxicological screening of candidate drugs. This is being achieved by generating databases of results for a wide range of model toxins which serve as the raw material for computer-based expert systems for toxicity prediction. The project progress on the generation of comprehensive metabonomic databases and multivariate statistical models for prediction of toxicity, initially for liver and kidney toxicity in the rat and mouse, is reported. Additionally, both the analytical and biological variation which might arise through the use of metabonomics has been evaluated. An evaluation of intersite NMR analytical reproducibility has revealed a high degree of robustness. Second, a detailed comparison has been made of the ability of the six companies to provide consistent urine and serum samples using a study of the toxicity of hydrazine at two doses in the male rat, this study showing a high degree of consistency between samples from the various companies in terms of spectral patterns and biochemical composition. Differences between samples from the various companies were small compared to the biochemical effects of the toxin. A metabonomic model has been constructed for urine from control rats, enabling identification of outlier samples and the metabolic reasons for the deviation. Building on this success, and with the completion of studies on approximately 80 model toxins, first expert systems for prediction of liver and kidney toxicity have been generated.

Metabonomics is an emerging technology that enables rapid in vivo screening for toxicity, disease state, or drug efficacy. The technology combines the power of high-resolution nuclear magnetic resonance (NMR) techniques with statistical data analysis methods to rapidly evaluate the metabolic "status" of an animal. Complimentary to other profiling technologies like proteomics and genomics, metabonomics provides a fingerprint of the small-molecules contained in a given biofluid through the time course of a study. This article reviews the steps in implementing a metabonomics-based screening program from study design through data analysis. While metabonomics is still a relatively new technology in comparison to the other "omics", published results from metabonomics studies demonstrate its potential impact in the drug discovery process by enabling the incorporation of safety endpoints much earlier in the drug discovery process, reducing the likelihood (and cost) of later stage attrition.

Metabonomics is the evaluation of the multiparametric metabolic response of biological systems to pathophysiological stimuli. High-resolution nuclear magnetic resonance (NMR) spectroscopy of biofluids coupled with pattern recognition-based chemometric analysis is an emerging approach to the study of metabonomics and may be used for the prediction of toxicity in vivo and for identification of surrogate markers of toxicity. Previously, we established that metabonomic analysis of urine samples has significant potential for identification of phosphodiesterase type 4 (PDE-4) inhibitor-induced vascular lesions in rats. It was not clear, however, whether the observed changes in metabonomics profile were related mechanistically to the pathogenesis of these vascular lesions or whether these changes were reflective primarily of the ensuing inflammatory response. In the present study, dexamethasone was used to suppress inflammation associated with vascular lesions induced in rats by the PDE-4 inhibitor CI-1018 and urine samples were evaluated for resultant changes in metabonomic profile. Female Wistar rats were given CI-1018 by gavage at 750 mg/kg with or without concurrent intraperitoneal administration of dexamethasone at 1 mg/kg for 4 days. Dexamethasone induced a characteristic lymphoid depletion and lymphocytolysis but no evidence of vascular lesions. Rats dosed with CI-1018 had mild vascular changes in liver and/or marked vascular lesions in mesentery characterized by medial necrosis, hemorrhage, and/or edema accompanied by perivascular mixed inflammatory cell infiltrates. Inflammatory infiltrates associated with these lesions were eliminated in rats given dexamethasone, yet minimal medial smooth muscle necrosis and degeneration still occurred, suggestive of etiologic changes rather than effects secondary to the inflammatory response. Principle component analysis of urine NMR spectra produced a clear pattern separation within 48 to 72 h between CI-1018-treated rats with vascular lesions and vehicle controls or rats given dexamethasone alone. There was no pattern separation, however, between rats given CI-1018 alone and rats given CI-1018 and dexamethasone concurrently, suggesting that CI-1018-induced urine spectral changes were associated with the vascular lesions, yet were independent of the inflammatory response. These findings provide new insight into the mechanism(s) of PDE inhibitor-induced vasculitis and support the potential use of metabonomics for developing reliable noninvasive methods for detecting vascular changes in rats.

The ability to interpret metabolic responses to toxic insult as expressed in altered urine composition and measured by NMR spectroscopy is dependent upon a database of proton NMR spectra of urine collected from both control and treated animals. Pattern recognition techniques, such as principal component analysis (PCA), can be used to establish whether the spectral data cluster according to a dose response. However, PCA will be sensitive to other variables that might exist in the data, such as those arising from the NMR instrument itself. Thus, studies were conducted to determine the impact that NMR-related variables might impart on the data, with a view towards understanding and minimizing variables that could interfere with the interpretation of a biological effect. This study has focused on solvent suppression methods, as well as instrument-to-instrument variability, including field strength. The magnitude of the NMR-induced variability was assessed in the presence of an established response to the nephrotoxin bromoethanamine. Changes caused by the model toxin were larger and easily distinguished from those caused by using different solvent suppression methods and field strengths.

The vasculitides are a heterogeneous group of lesions characterized by inflammation and necrosis of the vascular wall and have proven to be a disconcerting dilemma in the development of several classes of therapeutics. Metabonomics is an emerging technology having great potential for rapid noninvasive assessment of toxicity in vivo and providing identification of peripheral surrogate markers of toxicity. Metabonomic evaluation of CI-1018, a selective type 4 phosphodiesterase inhibitor associated with vasculitis in rats, was undertaken. Two experiments were performed in which CI-1018 was administered for up to 4 d to groups of male Wistar rats at doses up to 3000 mg/kg. Urine was collected from all animals pretest and daily for metabonomic analysis. Eleven of 38 CI-1018-treated animals were found to have vascular injury of varying severity at doses = or > 750 mg/kg. Principal component analysis produced a clear pattern separation among 8 of 11 animals with lesions and 36 of 37 animals without lesions in samples collected on d 3 or 4. These data demonstrate that the metabonomics approach has significant potential for developing a noninvasive method for identifying vasculitis in rats. It remains to be seen if urinary analyte patterns identified in this study are reproducible and whether a biomarker pattern for vasculitis can be established.

The purpose of this study was to evaluate the feasibility of metabonomics technology for developing a rapid-throughput toxicity screen using 2 known hepatotoxicants: carbon tetrachloride (CCl(4)) and alpha-naphthylisothiocyanate (ANIT) and 2 known nephrotoxicants: 2-bromoethylamine (BEA) and 4-aminophenol (PAP). In addition, the diuretic furosemide (FURO) was also studied. Single doses of CCl(4) (0.1 and 0.5 ml/kg), ANIT (10 and 100 mg/kg), BEA (15 and 150 mg/kg), PAP (15 and 150 mg/kg) and FURO (1 and 5 mg) were administered as single IP or oral doses to groups of 4 male Wistar rats/dose. Twenty-four-h urine samples were collected pretest, daily through Day 4, and on Day 10 (high dose CCl(4) and BEA only). Blood samples were taken on Days 1, 2, and 4 or 1, 4, and 10 for clinical chemistry assessment, and the appropriate target organ was examined microscopically. NMR spectra of urine were acquired and the data processed and subjected to principal component analyses (PCA). The results demonstrated that the metabonomic approach could readily distinguish the onset and reversal of toxicity with good agreement between clinical chemistry and PCA data. In at least 2 instances (ANIT and BEA), PCA analysis suggested effects at low doses, which were not as evident by clinical chemistry or microscopic analysis. Furosemide, which had no effect at the doses employed, did not produce any changes in PCA patterns. These data support the contention that the metabonomic approach represents a promising new technology for the development of a rapid throughput in vivo toxicity screen.

The endothelins (ETs) are a family of bicyclic 21-amino acid peptides that are potent and prolonged vasoconstrictors. It has been shown that highly potent combined ETA/ETB receptor antagonists can be developed from the C-terminal hexapeptide of ET (His16-Leu17-Asp18-Ile19-Ile20-Trp21), such as Ac-(D)Dip16-Leu-Asp-Ile-Ile-Trp21 (PD 142893) and Ac-DBhg16-Leu-Asp-Ile-Ile-Trp21 (PD 145065). However, these compounds are relatively unstable to enzymatic proteolysis as determined in an in vitro rat intestinal perfusate assay. This instability is thought to be due to carboxypeptidase activity. In fact, incubation of PD 145065 with carboxypeptidase inhibitors greatly increased its half-life in rat intestinal perfusate. By performing a reduced amide bond and N-methyl amino acid scan, it was discovered that N-methylation of Ile-20 resulted in a compound (Ac-DBhg16-Leu-Asp-Ile-[NMe]Ile-Trp21, PD 156252) that retained full receptor affinity at both endothelin receptor subtypes along with enhanced proteolytic stability and cellular permeability. Interestingly, N-methylation of this bond allows the cis configuration to be readily accessible which greatly alters the preferred structure of the entire molecule and may be responsible for the observed enhanced metabolic stability.

The metabolic fate of tacrine [1,2,3,4-tetrahydro-9-acridinamine monohydrochloride monohydrate (THA)] was examined in rats, dogs, and humans. After administration of single oral doses of [14C]THA to rats, dogs, and humans, drug-derived material was well absorbed, with urinary excretion being the predominant route of radiolabel elimination. Metabolic profiling of plasma and urine from rats, dogs, and humans showed THA to be extensively metabolized with marked species differences in quantitative amounts of metabolites observed. Plasma profiles were similar to respective urinary profiles in all three species. Present in profiles of urine from rats were 1-hydroxy (OH)-THA (major), 2-OH-THA, and 4-OHA-THA, and unchanged THA. Also observed were trace amounts of more polar metabolites, presumably arising from sequential metabolism. Metabolic profiling of dog urine also showed 1-OH-THA to be the major metabolite, with trace amounts of the 2-OHA-THA and 4-OH-THA regioisomers and THA excreted. In dog urine, more of the radioactivity was associated with polar metabolites, including 1,3-dihydroxy-THA and a dihydrodiol metabolite. Human urinary metabolic profiles were more similar to that in dogs than in rats, with no single metabolite constituting > 10% of urinary radioactivity. Present in human urine were phenol glucuronide metabolites, of which 7-OH-THA was identified as an aglycone. Relevance of the marked quantitative differences in THA metabolism between rats, dogs, and humans to species differences in THA hepatotoxic potential remains to be established.

HIV nucleocapsid protein (NCp7) has been suggested as a possible target for 2,2'-dithiobis-[benzamide] and benzisothiazolone agents that inhibit viral replication in infected cells (Rice et al. Science 1995, 270, 1194-1197). The solution behavior of these compounds and the mechanistic events leading to removal of Zn from HIV nucleocapsid protein in vitro has been studied by electrospray ionization mass spectrometry, 500 MHz one- and two-dimensional nuclear magnetic resonance spectroscopy, and circular dichroism spectroscopy. We demonstrate that (1) Zn ejection is accompanied by formation of covalent complexes formed between the 2,2'-dithiobis[benzamide] monomers and Cys residues of Zn-depleted NCp7, (2) the rate of Zn ejection is faster for the C-terminal Zn finger and slower for the N-terminal finger, (3) Zn ejection results in a loss of structural integrity of the NCp7 protein, and (4) there is no appreciable interaction between a nonreactive isostere of the lead 2,2'-dithiobis[benzamide] and NCp7 in buffered aqueous solution. These findings are discussed in terms of the mechanism of action of Zn ejection by aromatic 2,2'-dithiobis[benzamides].

Discrepancies in urinary metabolic profiles in rats administered tacrine (1) suggested the presence of an unidentified metabolite of 1. Chromatographic methods were developed that allowed isolation of a metabolite fraction containing both 1-hydroxytacrine (2) and an unknown metabolite from rat urine. Mass spectral analysis indicated this metabolite to be a monohydroxylated derivative, which upon two dimensional COSY NMR analysis could be assigned as 3-hydroxytacrine (4). This structural assignment was confirmed by independent synthesis of 4. Compound 4 was also identified as a human urinary metabolite of 1. Biologically, 4 was found to have in vitro human red blood cell acetylcholinesterase inhibitory activity similar to that of 2 and 4-hydroxytacrine (5) and approximately 8-fold less than that of 1. These results underscore the need to conduct rigorous structural identification studies, especially in cases where isomeric metabolites are possible, in assessing the accuracy of chromatographic profiling techniques.

We report the solution structure of mu-agatoxin-I (mu-Aga-I) and model structures of the closely related mu-agatoxin-IV (mu-Aga-IV) which were isolated from venom of the American funnel web spider, Agelenopsis aperta. These toxins, which modify the kinetics of neuronal voltage-activated sodium channels in insects, are C-terminally amidated peptides composed to 36 amino acids, including four internal disulfide bonds. The structure of mu-Aga-I was determined by NMR and distance geometry/molecular dynamics calculations. Structural calculations were carried out using 256 interresidue NOE-derived distance restraints and 25 angle restraints obtained from vicinal coupling constants. The peptide contains eight cysteines involved in disulfide bonds, the pairings of which were uncertain and had to be determined from preliminary structure calculations. The toxin has an average rmsd of 0.89 A for the backbone atoms among 38 converged conformers. The structure consists of a well-defined triple-stranded beta-sheet involving residues 7-9, 20-24, and 30-34 and four tight turns. A homologous peptide, mu-Aga-IV, exhibited two distinct and equally populated conformations in solution, which complicated spectral analysis. Analysis of sequential NOE's confirmed that the conformers arose from cis and trans peptide bonds involving a proline at position 15. Models were developed for both conformers based on the mu-Aga-I structure. Our structural data show that the mu-agatoxins, although specific modifiers of sodium channels, share common secondary and tertiary structural motifs with phylogenetically diverse peptide toxins targeting a variety of channel types. The mu-agatoxins add voltage-sensitive sodium channel activity to a growing list of neurotoxic effects elicited by peptide toxins which share the same global fold yet differ in their animal origin and ion channel selectivity.