Meeting report of the 3rd European Biotransformation Workshop.

Challenges, strategies and new technologies in the field of biotransformation were presented and discussed at the 3rd European Biotransformation Workshop which was held in collaboration with the DMDG on 5-6 October 2022 in Amsterdam. In this meeting report we summarise the presentations and discussions from this workshop. The topics covered are listed below:Accelerator mass spectrometry (AMS) for the support of microtracer studiesBiotransformation of the novel myeloperoxidase inhibitor AZD4831 in preclinical species and humansAMS in biotransformation studies: unusual case studiesDiscussion on new FDA draft guidance and AMSMultimodal molecular imaging and ion mobility applications in drug discovery and developmentMetabolites in Safety Testing considerations for large molecules.

RO6807936 as a novel positron emission tomography (PET) radiotracer for in vitro and in vivo visualization and quantification of beta-site amyloid precursor protein cleaving enzyme (BACE1) in the rodent and baboon brain.

The beta-site amyloid precursor protein cleaving enzyme (BACE1) is responsible for initiating the generation of beta-amyloid, the major constituent of amyloid plaques in Alzheimer's disease (AD). The purpose of this study was to develop a specific BACE1 radioligand for visualization of the distribution pattern and quantification of the BACE1 protein in the rodent and monkey brain both in vitro by autoradiography and in vivo by positron emission tomography (PET). The BACE1 inhibitor RO6807936 originating from an in-house chemical drug optimization program was selected based on its PET tracer-like physicochemical properties and a favorable pharmacokinetic profile. Saturation binding analysis of [3 H]RO6807936 revealed specific and high-affinity binding (KD = 2.9 nM) and a low Bmax value (4.3 nM) of the BACE1 protein in native rat brain membranes. [3 H]RO6807936 binding showed a ubiquitous distribution on rat brain slices in vitro with higher levels in the CA3 pyramidal cell layer and the granule cell layer of the hippocampus. In a next step, RO6807936 was successfully radiolabeled with carbon-11 and showed acceptable uptake in the baboon brain as well as a widespread and rather homogeneous distribution consistent with rodent data. In vivo blockade studies with a specific BACE1 inhibitor reduced uptake of the tracer to homogenous levels across brain regions and demonstrated specificity of the signal. Our data warrant further profiling of this PET tracer candidate in humans to investigate BACE1 expression in normal individuals and those with AD and as an imaging biomarker for target occupancy studies in clinical drug trials.

Sembragiline: A Novel, Selective Monoamine Oxidase Type B Inhibitor for the Treatment of Alzheimer's Disease.

Monoamine oxidase B (MAO-B) has been implicated in the pathogenesis of Alzheimer's disease (AD) and other neurodegenerative disorders. Increased MAO-B expression in astroglia has been observed adjacent to amyloid plaques in AD patient brains. This phenomenon is hypothesized to lead to increased production of hydrogen peroxide and reactive oxygen species (ROS), thereby contributing to AD pathology. Therefore, reduction of ROS-induced oxidative stress via inhibition of MAO-B activity may delay the progression of the disease. In the present study we report the pharmacological properties of sembragiline, a novel selective MAO-B inhibitor specifically developed for the treatment of AD, and on its effect on ROS-mediated neuronal injury and astrogliosis in MAO-B transgenic animals. Sembragiline showed potent and long-lasting MAO-B-selective inhibition and did not inhibit MAO-A at doses where full inhibition of MAO-B was observed. Such selectivity should translate into a favorable clinical safety profile. Indeed, sembragiline neither induced the serotonin syndrome when administered together with the serotonin precursor l-5-hydroxytryptophan in combination with antidepressants such as fluoxetine, nor potentiated the pressor effect of tyramine. Additionally, in experiments using a transgenic animal model conditionally overexpressing MAO-B in astroglia, sembragiline protected against neuronal loss and reduced both ROS formation and reactive astrogliosis. Taken together, these findings warrant further investigation of the potential therapeutic benefit of MAO-B inhibitors in patients with AD and other neurologic disorders.

In Vivo Biotransformation of the Fusion Protein Tetranectin-Apolipoprotein A1 Analyzed by Ligand-Binding Mass Spectrometry Combined with Quantitation by ELISA.

The in vivo biotransformation of a novel fusion protein tetranectin/apolipoprotein A1 (TN-ApoA1) was investigated by ligand-binding mass spectrometry (LB-MS) in support of enzyme-linked immunosorbent assays (ELISA). The main focus was on catabolites formed by proteolysis of the fusion protein in rabbit following intravenous administration of lipidated TN-ApoA1. The drug and its catabolites were isolated from rabbit plasma by immunocapture with a monoclonal antibody (mAb) binding to the fusion region of TN-ApoA1. The captured drug and catabolites were released from the streptavidin-coated magnetic beads, separated by monolithic RP capillary HPLC, and online detected by high-resolution mass spectrometry. In addition, the same extract was digested with LysN to confirm or further narrow down the structure of the found catabolites. Two pharmacologically active catabolites were identified with conserved fusion region. The major catabolite [3-285] was formed by truncation of AP at the N-terminus and the minor catabolite [29-270] by truncations of either side of the TN-ApoA1 sequence. Since the ELISA determined the sum of TN-ApoA1, along with its two main catabolites, the individual PK profiles of all three components could be derived by applying their mass peak composition for each sampling point. Parent drug accounted for 25% of drug-related material, whereas that of the catabolites [3-285] and [29-270] accounted for 66% and 9%, respectively. This result could be obtained without catabolite specific ELISAs or quantitative LC-MS assays. It was also confirmed that all relevant functional molecules of TN-ApoA1 in the plasma samples were quantified by the ELISA, which provided a good relationship for pharmacokinetic/pharmacodynamic evaluations.

Biomarkers of Flutamide-Bioactivation and Oxidative Stress In Vitro and In Vivo.

The nonsteroidal androgen-receptor antagonist flutamide is associated with hepatic injury. Oxidative stress and reactive metabolite formation are considered contributing factors to liver toxicity. Here we have used flutamide as a model drug to study the generation of reactive drug metabolites that undergo redox cycling to induce oxidative stress (OS) in vitro and in vivo. Lipid peroxidation (LPO) markers, as well as genes regulated by the redox-sensitive Nrf2 pathway, have been identified as surrogates for the characterization of OS. These markers and metabolism biomarkers for drug bioactivation have been investigated to characterize drug-induced hepatic damage. Rat hepatocytes and in vivo studies showed that several LPO markers, namely the isoprostanes 15R-PD2, dihydro keto PE2, and iPF(2α)-VI, as well as hydroxynonenal mercapturic acid metabolites, had increased significantly by 24 hours after flutamide treatment from 4.9 to 15.3-fold in hepatocytes and from 2.6 to 31.0-fold in rat plasma. Induction of mRNA expression levels for Nrf2-regulated genes was evident as well, with heme oxygenase 1, glutathione-S-transferase π1 and NAD(P)H dehydrogenase showing a 3.6-, 4.1-, and 1.9-fold increase in hepatocytes and 5.6-, 7.5-, and 94.1-fold in rat liver. All effects were observed at drug concentrations that did not show overt liver toxicity. Addition of an in situ hydrogen peroxide-generating system to in vitro experiments demonstrated the formation of a reactive di-imine intermediate as the responsible metabolic pathway for the generation of OS. The dataset suggests that hepatic oxidative stress conditions can be mediated via metabolic activation and can be monitored with suitable biomarkers preceding the terminal damage.

Quantitative profiling of prostaglandins as oxidative stress biomarkers in vitro and in vivo by negative ion online solid phase extraction - Liquid chromatography-tandem mass spectrometry.

Free radical-mediated oxidation of arachidonic acid to prostanoids has been implicated in a variety of pathophysiological conditions such as oxidative stress. Here, we report on the development of a liquid chromatography-mass spectrometry method to measure several classes of prostaglandin derivatives based on regioisomer-specific mass transitions down to levels of 20 pg/ml applied to the measurement of prostaglandin biomarkers in primary hepatocytes. The quantitative profiling of prostaglandin derivatives in rat and human hepatocytes revealed the increase of several isomers on stress response. In addition to the well-established markers for oxidative stress such as 8-iso-prostaglandin F2α and the prostaglandin isomers PE2 and PD2, this method revealed a significant increase of 15R-prostaglandin D2 from 236.1 ± 138.0 pg/1E6 cells in untreated rat hepatocytes to 2001 ± 577.1 pg/1E6 cells on treatment with ferric NTA (an Fe(3+) chelate with nitrilotriacetic acid causing oxidative stress in vitro as well as in vivo). Like 15R-prostaglandin D2, an unassigned isomer that revealed a more significant increase than commonly analyzed prostaglandin derivatives was identified. Mass spectrometric detection on a high-resolution instrument enabled high-quality quantitative analysis of analytes in plasma levels from rat experiments, where increased concentrations up to 23-fold change treatment with Fe(III)NTA were observed.

Software-aided cytochrome P450 reaction phenotyping and kinetic analysis in early drug discovery.

RATIONALE: Cytochrome P450 (CYP450) reaction phenotyping (CRP) and kinetic studies are essential in early drug discovery to determine which metabolic enzymes react with new drug entities. A new semi-automated computer-assisted workflow for CRP is introduced in this work. This workflow provides not only information regarding parent disappearance, but also metabolite identification and relative metabolite formation rates for kinetic analysis. METHODS: Time-course experiments based on incubating six probe substrates (dextromethorphan, imipramine, buspirone, midazolam, ethoxyresorufin and diclofenac) with recombinant human enzymes (CYP1A2, CYP2C9, CYP2C19, CYP2D6 and CYP3A4) and human liver microsomes (HLM) were performed. Liquid chromatography/high-resolution mass spectrometry (LC/HRMS) analysis was conducted with an internal standard to obtain high-resolution full-scan and MS/MS data. Data were analyzed using Mass-MetaSite software. A server application (WebMetabase) was used for data visualization and review. RESULTS: CRP experiments were performed, and the data were analyzed using a software-aided approach. This automated-evaluation approach led to (1) the detection of the CYP450 enzymes responsible for both substrate depletion and metabolite formation, (2) the identification of specific biotransformations, (3) the elucidation of metabolite structures based on MS/MS fragment analysis, and (4) the determination of the initial relative formation rates of major metabolites by CYP450 enzymes. CONCLUSIONS: This largely automated workflow enabled the efficient analysis of HRMS data, allowing rapid evaluation of the involvement of the main CYP450 enzymes in the metabolism of new molecules during drug discovery.

Post-acquisition analysis of untargeted accurate mass quadrupole time-of-flight MS(E) data for multiple collision-induced neutral losses and fragment ions of glutathione conjugates.

RATIONALE: Analytical methods to assess glutathione (GSH) conjugate formation based on mass spectrometry usually take advantage of the specific fragmentation behavior of the glutathione moiety. However, most methods used for GSH adduct screening monitor only one specific neutral loss or one fragment ion, even though the peptide moiety of GSH adducts shows a number of other specific neutral fragments and fragment ions which can be used for identification. METHODS: Nine reference drugs well known to form GSH adducts were incubated with human liver microsomes. Mass spectrometric analysis was performed with a quadrupole time-of-flight mass spectrometer in untargeted accurate mass MS(E) mode. The data analysis and evaluation was achieved in an automated approach with software to extract and identify GSH conjugates based on the presence of multiple collision-induced neutral losses and fragment ions specific for glutathione conjugates in the high-energy MS spectra. RESULTS: In total 42 GSH adducts were identified. Eight (18%) adducts did not show the neutral loss of 129 but were identified based on the appearance of other GSH-specific neutral losses or fragment ions. In high-energy MS(E) spectra the GSH-specific fragment ions of m/z 308 and 179 as well as the neutral loss of 275 Da were complementary to the commonly used neutral loss of 129 Da. Further, one abundant (yet unpublished) GSH conjugate of troglitazone formed in human liver microsomes was found. CONCLUSIONS: A software-aided approach was developed to reliably retrieve GSH adduct formation data out of untargeted complex full scan QTOFMS(E) data in a fast and efficient way. The present approach to detect and analyze multiple collision-induced neutral losses and fragment ions of glutathione conjugates in untargeted MS(E) data might be applicable to higher throughput to assess reactive metabolite formation in drug discovery.

Metabolism and mass balance of SGLT2 inhibitor tofogliflozin following oral administration to humans.

1. Tofogliflozin is a novel and selective SGLT2 inhibitor increasing glucosuria by inhibition of glucose re-absorption in the kidney for the treatment of type 2 diabetes mellitus. 2. In this study, the metabolism and the mass balance of tofogliflozin was evaluated following administration of a single oral dose of 20 mg [(14)C]-tofogliflozin to six healthy subjects. 3. Tofogliflozin underwent mainly oxidative metabolism in the ethylphenyl moiety, but also minor glucuronide conjugates of metabolites and the parent drug were formed. 4. In plasma, the parent drug and its major phenyl acetic acid metabolite M1 accounted for 42% and 52% of the total drug-related material, respectively. The hydroxyl metabolites and their successor ketone metabolite showed an exposure well below 5%, along with an acyl glucuronide of M1. 5. Tofogliflozin was completely absorbed with subsequent predominate metabolic clearance and a small contribution of direct urinary elimination. Approximately, 76% of the dose was excreted in urine and 20% in faeces within 72 h. The high absorption of tofogliflozin was exemplified by the small trace of parent drug in faeces. The phenyl acetic acid metabolite M1 was the major component excreted in urine and faeces accounting for more than half of the dose. Tofogliflozin demonstrated a high metabolic turnover.

Software aided approaches to structure-based metabolite identification in drug discovery and development.

Technological advances in mass spectrometry (MS) such as accurate mass high resolution instrumentation have fundamentally changed the approach to systematic metabolite identification over the past decade. Despite technological break-through on the instrumental side, metabolite identification still requires tedious manual data inspection and interpretation of huge analytical datasets. The process of metabolite identification has become largely facilitated and partly automated by cheminformatics approaches such as knowledge base metabolite prediction using, for example, Meteor, MetaDrug, MetaSite and StarDrop that are typically applied pre-acquisition. Likewise, emerging new technologies in postacquisition data analysis like mass defect filtering (MDF) have moved the technology driven analytical methodology to metabolite identification toward generic, structure-based workflows. The biggest challenge for automation however remains the structural assignment of drug metabolites. Software-guided approaches for the unsupervised metabolite identification still cannot compete with expert user manual data interpretation yet. Recently MassMetaSite has been introduced for the automated ranked output of metabolite structures based on the combination of metabolite prediction and interrogation of analytical mass spectrometric data. This approach and others are promising milestones toward an unsupervised process to metabolite identification and structural characterization moving away from a sample focused per-compound approach to a structure-driven generic workflow.

A targeted proteomics approach to the identification of peptides modified by reactive metabolites.

Covalent binding of reactive metabolites is generally accepted as one underlying mechanism of drug-induced toxicity. However, identification of protein targets by reactive metabolites still remains a challenge due to their low abundance. Here, we report the development of a highly selective proteomics workflow for the targeted identification of peptides modified by reactive metabolites. An equimolar mixture of non- and radiolabeled furan containing 2-amino-pyrimidine drug candidate (1 and 14C(1)-1) along with rat liver microsomes were used for the in vitro generation of reactive metabolites. Liver microsomal proteins were separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis, modified protein bands were highlighted by autoradiography and in-gel digested, and peptides were fractionated by strong cation exchange chromatography. Fractions enriched in modified peptides, as determined by radioactivity levels, were subjected to nanoLC-MS/MS and unambiguously detected based on their unique 12C/14C MS isotope pattern fingerprint. The peptide detection step could be automated using isotope pattern recognition software. Peptide sequencing, identification of the site of modification, and reactive metabolite characterization were achieved by MS2 and MS3 experiments using high-resolution and accurate mass detection. This approach led to the identification of four modified peptides originating from three drug-metabolizing enzymes, MGST1, FMO1, and P450 2C11. These revealed modifications by five different metabolite structures. This approach is generally suitable for the identification and characterization of modified proteins and metabolite structures involved in covalent binding and may serve as a valuable tool to link protein targets with clinically relevant toxicities.

Computational toxicology in drug development.

Computational tools for predicting toxicity have been envisaged for their potential to considerably impact the attrition rate of compounds in drug discovery and development. In silico techniques like knowledge-based expert systems (quantitative) structure activity relationship tools and modeling approaches may therefore help to significantly reduce drug development costs by succeeding in predicting adverse drug reactions in preclinical studies. It has been shown that commercial as well as proprietary systems can be successfully applied in the pharmaceutical industry. As the prediction has been exhaustively optimized for early safety-relevant endpoints like genotoxicity, future activities will now be directed to prevent the occurrence of undesired toxicity in patients by making these tools more relevant to human disease.

LC-MS/MS methods for the detection of isoprostanes (iPF2alpha-III and 8,12-iso-iPF2alpha-VI) as biomarkers of CCl4-induced oxidative damage to hepatic tissue.

Isoprostanes are formed after peroxidation of arachidonic acid and are promising biomarkers for reactive oxygen species. A LC-MS/MS based method was developed for the quantitation of two isoprostanes (iPF2alpha-III and 8,12-iso-iPF2alpha-VI) in hepatocytes, tissue and urine samples of rats. A column switching method was used to reduce sample preparation to a minimum. Precision was 9.4% and accuracy was between 96 and 114% for free iPF2alpha-III in tissue at concentrations from 1.9 to 6.1 ng/g. Treatment of rats with CCl4 to induce oxidative stress resulted in a dose-dependent increase (two- to three-fold) of iPF2alpha-III and 8,12-iso-iPF2alpha-VI in liver and kidney. For both isoprostanes an increase of four- to five-fold was observed in CCl4 treated hepatocytes and six- to eight-fold in CCl4 treated and glutathione depleted hepatocytes. In conclusion, the presented method is sensitive, specific and precise to be applied for the quantitation of iPF2alpha-III and 8,12-iso-iPF2alpha-VI which are shown to increase by CCl4 treatment in vitro and in vivo.

Profiling of dalcetrapib metabolites in human plasma by accelerator mass spectrometry and investigation of the free phenothiol by derivatisation with methylacrylate.

Dalcetrapib, a thioester prodrug, undergoes rapid and complete conversion in vivo to its phenothiol metabolite M1 which exerts the targeted pharmacological response in human. In clinical studies, M1 has been quantified together with its dimer and mixed disulfide species that represent the 'dalcetrapib active form' in plasma. In this article, we describe the determination of the free phenothiol M1 by derivatisation with methylacrylate as a percentage of 'dalcetrapib active form'. Pharmacokinetic profiles of M1 after oral administration of dalcetrapib to humans could be established, underscoring the validity to use a composite measure of 'dalcetrapib active form' as a surrogate marker for pharmacodynamic evaluations. 'Dalcetrapib active form' and M1 made up 8.9% and 3.6% of total drug-related material, respectively. In addition, complete metabolite profiling of 14C-labeled dalcetrapib was conducted after two-dimensional HPLC using fast fractionation into 384-well plates and ultrasensitive determination of the 14C-content by accelerator mass spectrometry. M1 underwent further biotransformation to its S-methyl metabolite M3, which was further oxidized to its sulfoxide and sulfone. Another metabolic pathway was the formation of the S-glucuronide. All of these species underwent further oxidation in the ethylbutyl cyclohexyl moiety leading to a multitude of hydroxyl and keto metabolites undergoing further conjugation to O-glucuronides. More than 80 metabolites were identified, demonstrating extensive metabolism. However, it was unambiguously demonstrated that none of these metabolites were major according to the MIST guideline (exceeding 10% of drug related material in circulation). The combination of accelerator mass spectrometry with HPLC together with high resolution mass spectrometry allowed for structural characterization of the most relevant human metabolites.

Minimizing the risk of chemically reactive metabolite formation of new drug candidates: implications for preclinical drug design.

Many pharmaceutical companies aim to reduce reactive metabolite formation by chemical modification at early stages of drug discovery. A practice often applied is the detection of stable trapping products of electrophilic intermediates with nucleophilic trapping reagents to guide rational structure-based drug design. This contribution delineates this strategy to minimize the potential for reactive metabolite formation of clinical candidates during preclinical drug optimization, exemplified by the experience at Roche over the past decade. For the majority of research programs it was possible to proceed with compounds optimized for reduced covalent binding potential. Such optimized candidates are expected to have a higher likelihood of succeeding throughout the development processes, resulting in safer drugs.

Increased brain levels of 4-hydroxy-2-nonenal glutathione conjugates in severe Alzheimer's disease.

In the last decade an important role for the progression of neuronal cell death in Alzheimer's disease (AD) has been ascribed to oxidative stress. trans-4-Hydroxy-2-nonenal, a product of lipid peroxidation, forms conjugates with a variety of nucleophilic groups such as thiols or amino moieties. Here we report for the first time the quantitation of glutathione conjugates of trans-4-hydroxy-2-nonenal (HNEGSH) in the human postmortem brain using the specific and very sensitive method of electrospray ionization triple quadrupole mass spectrometry (ESI-MS-MS). Levels of HNEGSH conjugates calculated as the sum of three chromatographically separated diastereomers were determined in hippocampus, entorhinal cortex, substantia innominata, frontal and temporal cortex, as well as cerebellum from patients with AD and controls matched for age, gender, postmortem delay and storage time. Neither age, nor postmortem delay, nor storage time did correlate with levels of HNEGSH conjugates which ranged between 1 and 500 pmol/g fresh weight in the brain areas examined. The brain specimen from patients with clinically and neuropathologically probable AD diagnosed according to criteria of the consortium to establish a registry for AD (CERAD) show increased levels of HNEGSH in the temporal and frontal cortex, as well as in the substantia innominata. Classification of disease severity according to Braak and Braak, which takes into consideration the amount of neurofibrillary tangles and neuritic plaques, revealed highest levels of HNEGSH in the substantia innominata and the hippocampus, two brain regions known to be preferentially affected in AD. These results substantiate the link between conjugates of glutathione with a product of lipid peroxidation and Alzheimer's disease and justify further studies to evaluate the role of HNE metabolites as potential biomarkers for disease progression in AD.

Discovery and Characterization of 2-Aminooxazolines as Highly Potent, Selective, and Orally Active TAAR1 Agonists.

2-Aminooxazolines were discovered as a novel structural class of TAAR1 ligands. Starting from a known adrenergic compound 1, structural modifications were made to obtain highly potent and selective TAAR1 ligands such as 12 (RO5166017), 18 (RO5256390), 36 (RO5203648), and 48 (RO5263397). These compounds exhibit drug-like physicochemical properties, have good oral bioavailability, and display in vivo activity in a variety of animal models relevant for psychiatric diseases and addiction.

Glutathione conjugates of 4-hydroxy-2(E)-nonenal as biomarkers of hepatic oxidative stress-induced lipid peroxidation in rats.

Here we present a simple, specific, and sensitive liquid chromatography/mass spectrometry method to measure 4-hydroxy-2(E)-nonenal-glutathione (HNE-GSH), the major stable hepatic metabolite of HNE after GSH conjugation, as a marker of oxidative stress in rat liver and hepatocytes. Commonly employed methods for the measurement of lipid peroxidation-derived free aldehydes or modified proteins suffer from the artificial formation of HNE or HNE adducts to cellular molecules during sample preparation and derivatization, resulting in an overestimation of background levels. Basal levels of HNE-GSH in liver tissue from untreated rats were detected in amounts of 20 pmol/g liver. Rats exposed to a single dose of iron nitrilotriacetate (Fe(III)NTA; 15 mg Fe/kg bw, ip), a model compound for the induction of oxidative stress, revealed a fivefold increase in the hepatic HNE-GSH levels compared to controls 5 h after dosing. Moreover, a significant increase in HNE-mercapturic acid (HNE-MA) and its reduced metabolite DHN-MA was evident at 5 or 24 h after treatment, which was also reflected in increased plasma concentrations of these secondary HNE-GSH metabolites. In agreement with the in vivo data, a time-dependent increase in the levels of HNE-GSH from <1 to 123 +/- 16 pmol/10(6) cells over 5 h was detected in rat hepatocytes treated with Fe(III)NTA (150 microM). An increase in cellular HNE-GSH from <1.0 to 7.2 +/- 0.3 pmol/10(6) cells could be observed in rat hepatocytes treated with allyl alcohol (500 microM, 3 h), known for generation of HNE in hepatocytes. These data suggest that the direct measurement of the stable GSH conjugation product of cellular HNE in rat primary hepatocytes or its secondary metabolites may represent a reliable biomarker of oxidative stress-induced lipid peroxidation in rat liver in vivo.

Rapid detection and identification of N-acetyl-L-cysteine thioethers using constant neutral loss and theoretical multiple reaction monitoring combined with enhanced product-ion scans on a linear ion trap mass spectrometer.

A sensitive and specific liquid chromatography-mass spectrometry (LC-MS) method based on the combination of constant neutral loss scans (CNL) with product ion scans was developed on a linear ion trap. The method is applicable for the detection and identification of analytes with identical chemical substructures (such as conjugates of xenobiotics formed in biological systems) which give common CNLs. A specific CNL was observed for thioethers of N-acetyl-L-cysteine (mercapturic acids, MA) by LC-MS/MS. MS and HPLC parameters were optimized with 16 MAs available as reference compounds. All of these provided a CNL of 129 Da in the negative-ion mode. To assess sensitivity, a multiple reaction monitoring (MRM) mode with 251 theoretical transitions using the CNL of 129 Da combined with a product ion scan (IDA thMRM) was compared with CNL combined with a product ion scan (IDA CNL). An information-dependent acquisition (IDA) uses a survey scan such as MRM (multiple reaction monitoring) to generate "informations" and starting a second acquisition experiment such as a product ion scan using these "informations." Th-MRM means calculated transitions and not transitions generated from an available standard in the tuning mode. The product ion spectra provide additional information on the chemical structure of the unknown analytes. All MA standards were spiked in low concentrations to rat urines and were detected with both methods with LODs ranging from 60 pmol/mL to 1.63 nmol/mL with IDA thMRM. The expected product ion spectra were observed in urine. Application of this screening method to biological samples indicated the presence of a number of MAs in urine of unexposed rats, and resulted in the identification of 1,4-dihydroxynonene mercapturic acid as one of these MAs by negative and positive product ion spectra. These results show that the developed methods have a high potential to serve as both a prescreen to detect unknown MAs and to identify these analytes in complex matrix.

Application of lipid peroxidation products as biomarkers for flutamide-induced oxidative stress in vitro.

The early identification of hepatotoxicity is a fundamental goal of preclinical safety studies in drug discovery and early development. Sensitive biomarkers warrant the determination of potential underlying mechanisms that help characterizing a disruption of physiological conditions prior to cell death. This study shows the potential of different lipid peroxidation products, namely isoprostanes and hydroxynonenal (HNE) derivatives, to serve as early safety biomarkers of hepatotoxicity caused by oxidative stress as underlying mechanism. The hepatotoxic drug flutamide was used as model compound in primary hepatocytes. Incubation conditions were optimized by the addition of hydrogen peroxide generating substrates enhancing the cellular response upon oxidative stress. A time and dose dependent response of different isoprostanes and prostaglandins (15R-prostaglandin D2, prostaglandin E2, 13,14-dihydro-15-keto prostaglandin E2 and 5­iso prostaglandin F2α-VI) became manifest after 6 and 24h of treatment in 3.8- to 17.4-fold increased concentrations where no overt hepatocellular damage was observed. For HNE-mercapturic acid and its metabolite dihydroxynonene-mercapturic acid a similar response was evident with a 20- and 10-fold increase from control after 24 h of treatment, respectively. These data indicate that lipid peroxidation products as markers of reactive oxygen species are more sensitive than conventional cytotoxicity markers for an early detection of drug-induced liver injury.