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1 Hexobarbitone plasma kinetics were determined in six healthy volunteers, who received 500 mg hexobarbitone orally. In addition urinary excretion rate and cumulative excretion were measured of its three major metabolites: 3′-hydroxyhexobarbitone, 3′-ketohexobarbitone and 1,5-dimethylbarbituric acid. 2 The mean plasma elimination half- life of hexobarbitone was 3.7 +/- 0.9 h (n = 6). Assuming complete absorption, the volume of distribution and the metabolic clearance were 81.3 +/- 20.5 1 and 16.4 +/- 2.9 1/h, respectively. The mean maximal plasma concentration was 7.1 +/- 2.1 micrograms/ml and was reached 1.2 +/- 0.4 h after drug administration. 3 3′-Hydroxyhexobarbitone and 3′- ketohexobarbitone, which are products of allylic side-chain oxidation of hexobarbitone, were excreted in 24 h to the extent of 4.7 +/- 1.3 and 32.1 +/- 11.9% of the dose, respectively. In the same period, 1,5- dimethylbarbituric acid, which is the end product of the epoxide-diol pathway, was excreted to 18.0 +/- 7.8% of the dose. The ratio of the sum of 3′-hydroxy- and 3′-ketohexobarbitone vs 1,5-dimethylbarbituric acid excreted varied with time and amounted ultimately in 24 h urine to 2.3 +/- 1.0. 4 The half-lives of 3′-hydroxyhexobarbitone and 1,5- dimethylbarbituric acid, calculated from their renal excretion rate curves, amounted 5.2 +/- 0.9 and 6.6 +/- 1.3 h and were significantly longer than the half-life of hexobarbitone in plasma. The half-life of 3′-ketohexobarbitone was 4.2 +/- 0.8 h. The maximum excretion rate of 1,5-dimethylbarbituric acid was reached at 7.7 +/- 1.0 h after administration of hexobarbitone. 3′-Hydroxy- and 3′-ketohexobarbitone were excreted with a maximal rate at 2.2 +/- 0.8 and 2.8 +/- 0.4 h respectively. [ABSTRACT FROM AUTHOR]

Purpose: Total elbow arthroplasty (TEA) is rarely performed compared to other arthroplasties. For many surgical procedures, literature shows better outcomes when they are performed by experienced surgeons and in so-called 'high-volume' hospitals. We systematically reviewed the literature on the relationship between surgical volume and outcomes following TEA., Methods: A literature search was performed using the MEDLINE, EMBASE and CINAHL databases. The literature was systematically reviewed for original studies comparing TEA outcomes among hospitals or surgeons with different annual or career volumes. For each study, data were collected on study design, indications for TEA, number of included patients, implant types, cut-off values for volume, number and types of complications, revision rate and functional outcome measures. The methodological quality of the included studies was assessed using the Newcastle-Ottawa Scale., Results: Two studies, which included a combined 2301 TEAs, found that higher surgeon volumes were associated with lower revision rates. The examined complication rates did not differ between high- and low-volume surgeons. In one study, low-hospital volume is associated with an increased risk of revision compared to high-volume hospitals, but for other complication types, no difference was found., Conclusions: Based on the results, the evidence suggests that high-volume centers have a lower revision rate in the long term. No minimum amount of procedures per year can be advised, as the included studies have different cut-off values between groups. As higher surgeon- and center-volume, (therefore presumably experience) appear to yield better outcomes, centralization of total elbow arthroplasty should be encouraged.

Acetaminophen (APAP), although considered a safe drug, is one of the major causes of acute liver failure by overdose, and therapeutic chronic use can cause serious health problems. Although the reactive APAP metabolite N-acetyl-p-benzoquinoneimine (NAPQI) is clearly linked to liver toxicity, toxicity of APAP is also found without drug metabolism of APAP to NAPQI. To get more insight into mechanisms of APAP toxicity, a genome-wide screen in Saccharomyces cerevisiae for APAP-resistant deletion strains was performed. In this screen we identified genes related to the DNA damage response. Next, we investigated the link between genotype and APAP-induced toxicity or resistance by performing a more detailed screen with a library containing mutants of 1522 genes related to nuclear processes, like DNA repair and chromatin remodelling. We identified 233 strains that had an altered growth rate relative to wild type, of which 107 showed increased resistance to APAP and 126 showed increased sensitivity. Gene Ontology analysis identified ubiquitin homeostasis, regulation of transcription of RNA polymerase II genes, and the mitochondria-to-nucleus signalling pathway to be associated with APAP resistance, while histone exchange and modification, and vesicular transport were connected to APAP sensitivity. Indeed, we observed a link between ubiquitin levels and APAP resistance, whereby ubiquitin deficiency conferred resistance to APAP toxicity while ubiquitin overexpression resulted in sensitivity. The toxicity profile of various chemicals, APAP, and its positional isomer AMAP on a series of deletion strains with ubiquitin deficiency showed a unique resistance pattern for APAP. Furthermore, exposure to APAP increased the level of free ubiquitin and influenced the ubiquitination of proteins. Together, these results uncover a role for ubiquitin homeostasis in APAP-induced toxicity.

Aims: Oxidative bioactivation of amodiaquine (AQ) by cytochrome P450s to a reactive quinoneimine is considered as an important mechanism underlying its idiosyncratic hepatotoxicity. However, because internal exposure to its major metabolite N-desethylamodiaquine (DEAQ) is up to 240-fold higher than AQ, bioactivation of DEAQ might significantly contribute to covalent binding. The aim of the present study was to compare the kinetics of bioactivation of AQ and DEAQ by human liver microsomes (HLM) and to characterize the CYPs involved in bioactivation of AQ and DEAQ., Methods: Glutathione was used to trap reactive metabolites formed in incubations of AQ and DEAQ with HLM and recombinant human cytochrome P450s (hCYPs). Kinetics of bioactivation of AQ and DEAQ in HLM and involvement of hCYPs were characterized by measuring corresponding glutathione conjugates (AQ-SG and DEAQ-SG) using a high-performance liquid chromatography method., Results: Bioactivation of AQ and DEAQ in HLM both exhibited Michaelis-Menten kinetics. For AQ bioactivation, enzyme kinetical parameters were K m , 11.5 ± 2.0 μmol l -1 , V max , 59.2 ± 3.2 pmol min -1  mg -1 and CL int , 5.15 μl min -1  mg -1 . For DEAQ, parameters for bioactivation were K m , 6.1 ± 1.3 μmol l -1 , V max , 5.5 ± 0.4 pmol min -1  mg -1 and CL int 0.90 μl min -1  mg -1 . Recombinant hCYPs and inhibition studies with HLM showed involvement of CYP3A4, CYP2C8, CYP2C9 and CYP2D6 in bioactivation., Conclusions: The major metabolite DEAQ is likely to be quantitatively more important than AQ with respect to hepatic exposure to reactive metabolites in vivo. High expression of CYP3A4, CYP2C8, CYP2C9, and CYP2D6 may be risk factors for hepatotoxicity caused by AQ-therapy., (© 2016 The British Pharmacological Society.)

Nevirapine (NVP) is a non-nucleoside reverse transcriptase-inhibitor, which is associated with severe idiosyncratic skin rash and hepatotoxicity. These adverse drug reactions are believed to be mediated by the formation of epoxides and/or quinone methide formed by oxidative metabolism by P450s and 12-sulfoxyl-NVP formed by sequential 12-hydroxylation and O-sulfonation. Although different GSH-conjugates and corresponding mercapturic acids have been demonstrated previously in vitro and in vivo, the role of the glutathione S-transferases in the inactivation of the different reactive metabolites has not been studied so far. In the present study the activity of 10 recombinant human glutathione S-transferases (GSTs) in the detoxification of the different reactive metabolites of NVP was studied. The results show that GSTP1-1 is a highly active catalyst of GSH-conjugation of the oxidative metabolites of NVP, even at high GSH-concentration. Experiments with trideuterated NVP suggest involvement of a reactive epoxide rather than quinone methide in the formation of the GSH-conjugate formed after oxidative bioactivation. GSH-conjugation of 12-sulfoxyl-NVP forming NVP-12-GSH was only catalyzed by GSTM1-1, GSTA1-1, and GSTA3-3. Although the exact expression levels of these enzymes in the skin is unknown, the relatively low activity of this catalysis makes it unlikely that GSTs can provide significant protection against this metabolite. However, since NVP-12-GSH is specifically formed via the 12-sulfoxyl-NVP, its corresponding urinary mercapturic acid can be considered as a biomarker for recent internal exposure to this protein-reactive sulfate. However, it has to be taken into account that 12-sulfoxyl-NVP is not completely trapped by GSH and that rates of bioinactivation will differ between patients due to variability in expression of GSTM1, GSTA1, and GSTA3.

The current test systems employed by pharmaceutical industry are poorly predictive for drug-induced liver injury (DILI). The 'MIP-DILI' project addresses this situation by the development of innovative preclinical test systems which are both mechanism-based and of physiological, pharmacological and pathological relevance to DILI in humans. An iterative, tiered approach with respect to test compounds, test systems, bioanalysis and systems analysis is adopted to evaluate existing models and develop new models that can provide validated test systems with respect to the prediction of specific forms of DILI and further elucidation of mechanisms. An essential component of this effort is the choice of compound training set that will be used to inform refinement and/or development of new model systems that allow prediction based on knowledge of mechanisms, in a tiered fashion. In this review, we focus on the selection of MIP-DILI training compounds for mechanism-based evaluation of non-clinical prediction of DILI. The selected compounds address both hepatocellular and cholestatic DILI patterns in man, covering a broad range of pharmacologies and chemistries, and taking into account available data on potential DILI mechanisms (e.g. mitochondrial injury, reactive metabolites, biliary transport inhibition, and immune responses). Known mechanisms by which these compounds are believed to cause liver injury have been described, where many if not all drugs in this review appear to exhibit multiple toxicological mechanisms. Thus, the training compounds selection offered a valuable tool to profile DILI mechanisms and to interrogate existing and novel in vitro systems for the prediction of human DILI.

Diclofenac is a widely prescribed NSAID that causes severe idiosyncratic drug induced liver injury (IDILI) in a small part of the patient population. Formation of protein-reactive metabolites is considered to play a role in the development of diclofenac-induced IDILI. Therefore, a high hepatic activity of enzymes involved in bioactivation of diclofenac is expected to increase the risk for liver injury. However, the extent of covalent protein binding may also be determined by activity of protective enzymes, such as glutathione S-transferases (GSTs). This is supported by an association study in which a correlation was found between NSAID-induced IDILI and the combined null genotypes of GSTM1 and GSTT1. In the present study, the activity of 10 different recombinant human GSTs in inactivation of protein-reactive quinoneimine (QI) metabolites of diclofenac was tested. Both at low and high GSH concentrations, high activities of GSTA1-1, A2-2, A3-3, M1-1, M3-3 and P1-1 in the inactivation of these QIs were found. By using the expression levels of GSTs in livers of 22 donors, a 6-fold variation in GST-dependent inactivation of reactive diclofenac metabolites was predicted. Moreover, it was shown in vitro that GSTs can strongly increase the efficiency of GSH to protect against the alkylation of the model thiol N-acetylcysteine by reactive diclofenac metabolites. The results of this study demonstrate that variability of GST expression may significantly contribute to the inter-individual differences in susceptibility to diclofenac-induced liver injury. In addition, expression levels of GSTs in in vitro models for hepatotoxicity may be important factors determining sensitivity to diclofenac cytotoxicity., (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)

Idiosyncratic drug-induced lever injury (IDILI) is a rare but severe side effect of diclofenac (DF). Several mechanisms have been proposed as cause of DF-induced toxicity including the formation of protein-reactive diclofenac-1',4'-quinone imine (DF-1',4'-QI) and diclofenac-2,5-quinone imine (DF-2,5-QI). Formation of these p-benzoquinone imines result from two-step oxidative metabolism involving aromatic hydroxylation to 4'-hydroxydiclofenac and 5-hydroxydiclofenac followed by dehydrogenation to DF-1',4'-QI and DF-2,5-QI, respectively. Although the contribution of individual cytochrome P450s (CYPs) in aromatic hydroxylation of DF is well studied, the enzymes involved in the dehydrogenation reactions have been poorly characterized. The results of the present study show that both formation of 4'-hydroxydiclofenac and it subsequent bioactivation to DF-1',4'-QI is selectively catalyzed by CYP2C9. However, the two-step bioactivation to DF-2,5-QI appears to be catalyzed with highest activity by two different CYPs: 5-hydroxylation of DF is predominantly catalyzed by CYP3A4, whereas its subsequent bioactivation to DF-2,5-QI is catalyzed with 14-fold higher intrinsic clearance by CYP2C9. The fact that both CYPs involved in two-step bioactivation of DF show large interindividual variability may play a role in different susceptibility of patients to DF-induced IDILI. Furthermore, expression levels of these enzymes and protective enzymes might be important factors determining sensitivity of in vitro models for hepatotoxicity., (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)

Cytochrome P450s (CYPs), UDP-glucuronosyltransferases (UGTs) and sulfotransferases (SULTs) are the most important enzymes for metabolic clearance. Characterization of phase I and phase II metabolism of a given drug in cellular models is therefore important for an adequate interpretation of the role of drug metabolism in toxicity. We investigated phase I (CYP) and phase II (UGT and SULT) metabolism of three drugs related to drug-induced liver injury (DILI), namely acetaminophen (APAP), diclofenac (DF) and tolcapone (TC), in cryopreserved primary human hepatocytes from 5 donors in suspension and monolayer. The general phase II substrate 7-hydroxycoumarin (7-HC) was included for comparison. Our results show that the decrease in CYP, UGT and SULT activity after plating is substrate dependent. As a consequence the phase I/phase II metabolism ratio is significantly affected, with a shift in monolayer towards phase I metabolism for TC and towards phase II metabolism for APAP and DF. Inter-donor variability in drug metabolism is significant, especially in sulfation of 7-HC or APAP. As CYP, UGT and SULT metabolism may lead to bioactivation and/or detoxification of drugs, a changed ratio in phase I/phase II metabolism may have important consequences for metabolism-related toxicity., (Copyright © 2016 Elsevier Ltd. All rights reserved.)

Cytochrome P450 BM3 (CYP102A1) mutant M11 is able to metabolize a wide range of drugs and drug-like compounds. Among these, M11 was recently found to be able to catalyze formation of human metabolites of mefenamic acid and other nonsteroidal anti-inflammatory drugs (NSAIDs). Interestingly, single active-site mutations such as V87I were reported to invert regioselectivity in NSAID hydroxylation. In this work, we combine crystallography and molecular simulation to study the effect of single mutations on binding and regioselective metabolism of mefenamic acid by M11 mutants. The heme domain of the protein mutant M11 was expressed, purified, and crystallized, and its X-ray structure was used as template for modeling. A multistep approach was used that combines molecular docking, molecular dynamics (MD) simulation, and binding free-energy calculations to address protein flexibility. In this way, preferred binding modes that are consistent with oxidation at the experimentally observed sites of metabolism (SOMs) were identified. Whereas docking could not be used to retrospectively predict experimental trends in regioselectivity, we were able to rank binding modes in line with the preferred SOMs of mefenamic acid by M11 and its mutants by including protein flexibility and dynamics in free-energy computation. In addition, we could obtain structural insights into the change in regioselectivity of mefenamic acid hydroxylation due to single active-site mutations. Our findings confirm that use of MD and binding free-energy calculation is useful for studying biocatalysis in those cases in which enzyme binding is a critical event in determining the selective metabolism of a substrate., (© 2016 Wiley Periodicals, Inc.)

In the present study, the validity of using a cocktail screening method in combination with a chemometrical data mining approach to evaluate metabolic activity and diversity of drug-metabolizing bacterial Cytochrome P450 (CYP) BM3 mutants was investigated. In addition, the concept of utilizing an in-house-developed library of CYP BM3 mutants as a unique biocatalytic synthetic tool to support medicinal chemistry was evaluated. Metabolic efficiency of the mutant library towards a selection of CYP model substrates, being amitriptyline (AMI), buspirone (BUS), coumarine (COU), dextromethorphan (DEX), diclofenac (DIC) and norethisterone (NET), was investigated. First, metabolic activity of a selection of CYP BM3 mutants was screened against AMI and BUS. Subsequently, for a single CYP BM3 mutant, the effect of co-administration of multiple drugs on the metabolic activity and diversity towards AMI and BUS was investigated. Finally, a cocktail of AMI, BUS, COU, DEX, DIC and NET was screened against the whole in-house CYP BM3 library. Different validated quantitative and qualitative (U)HPLC-MS/MS-based analytical methods were applied to screen for substrate depletion and targeted product formation, followed by a more in-depth screen for metabolic diversity. A chemometrical approach was used to mine all data to search for unique metabolic properties of the mutants and allow classification of the mutants. The latter would open the possibility of obtaining a more in-depth mechanistic understanding of the metabolites. The presented method is the first MS-based method to screen CYP BM3 mutant libraries for diversity in combination with a chemometrical approach to interpret results and visualize differences between the tested mutants.

Recently an iterative method was proposed to enhance the accuracy and efficiency of ligand-protein binding affinity prediction through linear interaction energy (LIE) theory. For ligand binding to flexible Cytochrome P450s (CYPs), this method was shown to decrease the root-mean-square error and standard deviation of error prediction by combining interaction energies of simulations starting from different conformations. Thereby, different parts of protein-ligand conformational space are sampled in parallel simulations. The iterative LIE framework relies on the assumption that separate simulations explore different local parts of phase space, and do not show transitions to other parts of configurational space that are already covered in parallel simulations. In this work, a method is proposed to (automatically) detect such transitions during the simulations that are performed to construct LIE models and to predict binding affinities. Using noise-canceling techniques and splines to fit time series of the raw data for the interaction energies, transitions during simulation between different parts of phase space are identified. Boolean selection criteria are then applied to determine which parts of the interaction energy trajectories are to be used as input for the LIE calculations. Here we show that this filtering approach benefits the predictive quality of our previous CYP 2D6-aryloxypropanolamine LIE model. In addition, an analysis is performed of the gain in computational efficiency that can be obtained from monitoring simulations using the proposed filtering method and by prematurely terminating simulations accordingly.

A novel methodology is presented to investigate the organic solvent tolerability of cytochrome P450 monooxygenase BM3 (CYP BM3) mutants. A fluorescence-based continuous-flow enzyme activity detection (EAD) setup was used to screen the activity of CYP BM3 mutants in the presence of organic solvents. The methodology is based on the CYP BM3-mediated O-dealkylation of benzyloxyresorufin to form the highly fluorescent product resorufin. The assay setup not only allows detection of the formed resorufin, but it also simultaneously monitors cofactor depletion online. The EAD setup was used to test the activity of a small library of novel CYP BM3 mutants in flow-injection analysis mode in the presence of the organic modifiers methanol, acetonitrile, and isopropanol. Mutants with enhanced tolerability toward all three solvents were identified, and the EAD setup was adapted to facilitate CYP BM3 activity screening against a gradient of an organic modifier to study the behavior of the small library of CYP BM3 mutants in more detail. The simple methodology used in this study was shown to be a very powerful tool to screen for novel CYP BM3 mutants with increased tolerability toward organic solvents., (© 2015 Society for Laboratory Automation and Screening.)

Prediction of human Cytochrome P450 (CYP) binding affinities of small ligands, i.e., substrates and inhibitors, represents an important task for predicting drug-drug interactions. A quantitative assessment of the ligand binding affinity towards different CYPs can provide an estimate of inhibitory activity or an indication of isoforms prone to interact with the substrate of inhibitors. However, the accuracy of global quantitative models for CYP substrate binding or inhibition based on traditional molecular descriptors can be limited, because of the lack of information on the structure and flexibility of the catalytic site of CYPs. Here we describe the application of a method that combines protein-ligand docking, Molecular Dynamics (MD) simulations and Linear Interaction Energy (LIE) theory, to allow for quantitative CYP affinity prediction. Using this combined approach, a LIE model for human CYP 1A2 was developed and evaluated, based on a structurally diverse dataset for which the estimated experimental uncertainty was 3.3 kJ mol-1. For the computed CYP 1A2 binding affinities, the model showed a root mean square error (RMSE) of 4.1 kJ mol-1 and a standard error in prediction (SDEP) in cross-validation of 4.3 kJ mol-1. A novel approach that includes information on both structural ligand description and protein-ligand interaction was developed for estimating the reliability of predictions, and was able to identify compounds from an external test set with a SDEP for the predicted affinities of 4.6 kJ mol-1 (corresponding to 0.8 pKi units).

In the current paper we show that exposure of human callus to isocyanates leads to covalent modifications within keratin proteins. Mass spectrometric analyses of pronase digests of keratin isolated from exposed callus show that both mono- and di-adducts (for di-isocyanates) are predominantly formed on the ε-amino group of lysine. In addition, numerous modified tryptic keratin fragments were identified, demonstrating rather random lysine modification. Interestingly, preliminary experiments demonstrate that in case of MDI a similar lysine di-adduct was formed with lung elastin. Our data support the hypothesis that skin sensitization through antigenic modifications of skin proteins by isocyanates could play a role in occupational isocyanate-induced asthma. It is further envisaged that the elucidated adducts will also have great potential for use as biomarkers to assess skin exposure to isocyanates. Advantageously, the various lysine adducts display the presence of a characteristic daughter fragment at m/z 173.1 [lysine-NCO](+), enabling generic and rapid screening for exposure to isocyanates., (Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.)

The present debate on chemicals with Hormonal activity, often termed 'endocrine disruptors', is highly controversial and includes challenges of the present paradigms used in toxicology and in hazard identification and risk characterization. In our opinion, chemicals with hormonal activity can be subjected to the well-evaluated health risk characterization approach used for many years including adverse outcome pathways. Many of the points arguing for a specific approach for risk characterization of chemicals with hormonal activity are based on highly speculative conclusions. These conclusions are not well supported when evaluating the available information., (© The Author 2015. Published by Oxford University Press on behalf of the Society of Toxicology. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.)

Early prediction of safety issues in drug development is at the same time highly desirable and highly challenging. Recent advances emphasize the importance of understanding the whole chain of causal events leading to observable toxic outcomes. Here we describe an integrative modeling strategy based on these ideas that guided the design of eTOXsys, the prediction system used by the eTOX project. Essentially, eTOXsys consists of a central server that marshals requests to a collection of independent prediction models and offers a single user interface to the whole system. Every of such model lives in a self-contained virtual machine easy to maintain and install. All models produce toxicity-relevant predictions on their own but the results of some can be further integrated and upgrade its scale, yielding in vivo toxicity predictions. Technical aspects related with model implementation, maintenance and documentation are also discussed here. Finally, the kind of models currently implemented in eTOXsys is illustrated presenting three example models making use of diverse methodology (3D-QSAR and decision trees, Molecular Dynamics simulations and Linear Interaction Energy theory, and fingerprint-based QSAR)., (© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Tri-ortho-cresyl phosphate (ToCP) is a multipurpose organophosphorus compound that is neurotoxic and suspected to be involved in aerotoxic syndrome in humans. It has been reported that not ToCP itself but a metabolite of ToCP, namely, 2-(ortho-cresyl)-4H-1,2,3-benzodioxaphosphoran-2-one (CBDP), may be responsible for this effect as it can irreversibly bind to human butyrylcholinesterase (BuChE) and human acetylcholinesterase (AChE). The bioactivation of ToCP into CBDP involves Cytochrome P450s (P450s). However, the individual human P450s responsible for this bioactivation have not been identified yet. In the present study, we aimed to investigate the metabolism of ToCP by different P450s and to determine the inhibitory effect of the in vitro generated ToCP-metabolites on human BuChE and AChE. Human liver microsomes, rat liver microsomes, and recombinant human P450s were used for that purpose. The recombinant P450s 2B6, 2C18, 2D6, 3A4 and 3A5 showed highest activity of ToCP-bioactivation to BuChE-inhibitory metabolites. Inhibition experiments using pooled human liver microsomes indicated that P450 3A4 and 3A5 were mainly involved in human hepatic bioactivation of ToCP. In addition, these experiments indicated a minor role for P450 1A2. Formation of CBDP by in-house expressed recombinant human P450s 1A2 and 3A4 was proven by both LC-MS and GC-MS analysis. When ToCP was incubated with P450 1A2 and 3A4 in the presence of human BuChE, CBDP-BuChE-adducts were detected by LC-MS/MS which were not present in the corresponding control incubations. These results confirmed the role of human P450s 1A2 and 3A4 in ToCP metabolism and demonstrated that CBDP is the metabolite responsible for the BuChE inactivation. Interindividual differences at the level of P450 1A2 and 3A4 might play an important role in the susceptibility of humans in developing neurotoxic effects, such as aerotoxic syndrome, after exposure to ToCP.

The modification of critical cellular proteins by reactive metabolites (RMs) resulting from P450-dependent drug bioactivation is considered essential to the onset of many idiosyncratic drug reactions. In this study, we report a novel method that can be used to prepare and study drug-protein adducts. Drug bioactivation by P450s was performed in a small container containing a mini-dialysis tube with the model target protein human glutathione-S-transferase P1-1 (hGST P1-1), allowing RMs to translocate from P450 to hGST P1-1 via a semi-permeable membrane (6-8kDa). GST P1-1 modification was evaluated by LC-MS analysis of intact protein adducts and following digestion of protein with trypsin. As proof of principle, the described methodology was first applied to the direct electrophile monochlorobimane. A highly active P450 BM3 mutant (CYP102A1M11H) was subsequently used for bioactivation of acetaminophen, clozapine, diclofenac (DF) and mefenamic acid (MFA), but hGST P1-1 adducts were only observed for the latter two drugs. CYP2C9 and CYP3A4, which metabolize DF to p-benzoquinone imines, were tested to investigate the applicability of human P450s. Finally, it was evaluated whether bioactivation of MFA by human and rat liver microsomes resulted in modification of hGST P1-1. The results show that our adduct preparation method can also be used in combination with membrane-bound P450 bioactivation systems, as long as formed RMs have sufficient life-time to reach hGST P1-1 inside the dialysis tube., (Copyright © 2014 Elsevier B.V. All rights reserved.)

Cyclophosphamide (CPA) and ifosfamide (IFA) are widely used anticancer agents that require metabolic activation by cytochrome P450 (CYP) enzymes. While 4-hydroxylation yields DNA-alkylating and cytotoxic metabolites, N-dechloroethylation results in the generation of neuro- and nephrotoxic byproducts. Gene-directed enzyme prodrug therapies (GDEPT) have been suggested to facilitate local CPA and IFA bioactivation by expressing CYP enzymes within the tumor cells, thereby increasing efficacy. We screened bacterial CYP BM3 mutants, previously engineered to metabolize drug-like compounds, for their ability to catalyze 4-hydroxylation of CPA and IFA. Two CYP BM3 mutants showed very rapid initial bioactivation of CPA and IFA, followed by a slower phase of product formation. N-dechloroethylation by these mutants was very low (IFA) to undetectable (CPA). Using purified CYP BM3 as an extracellular bioactivation tool, cytotoxicity of CPA and IFA metabolism was confirmed in U2OS cells. This novel application of CYP BM3 possibly provides a clean and catalytically efficient alternative to liver microsomes or S9 for the study of CYP-mediated drug toxicity. To our knowledge, the observed rate of CPA and IFA 4-hydroxylation by these CYP BM3 mutants is the fastest reported to date, and might be of potential interest for CPA and IFA GDEPT., (Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.)

The endocrine system is a major communication system in the body and is involved in maintenance of the reproductive system, fetal development, growth, maturation, energy production, and metabolism,. The endocrine system responds to the needs of an organism by secreting a wide variety of hormones that enable the body to maintain homeostasis, to respond to external stimuli, and to follow various developmental programs. This occurs through complex signalling cascades,with multiple sites at which the signals can be regulated. Endocrine disrupting compounds (EDCs) affect the endocrine system by simulating the action of the naturally produced hormones, by inhibiting the action of natural hormones, by changing the function and synthesis of hormone receptors, or by altering the synthesis, transport, metabolism, and elimination of hormones. It has been established that exposure to environmental EDCs is a risk factor for disruption of reproductive development and oncogenesis in both humans and wildlife. For accurate risk assessment of EDCs, the possibility of bioactivation through biotransformation processes needs to be included since neglecting these mechanisms may lead to undervaluation of adverse effects on human health caused by EDCs and/or their metabolites. This accurate risk assessment should include: (1) possibility of EDCs to be bioactivated into metabolites with enhanced endocrine disruption (ED) effects, and (2) possibility of EDCs to be biotransformed into reactive metabolites that may cause DNA damage. Here, we present an overview of different metabolic enzymes that are involved in the biotransformation of EDCs. In addition, we describe how biotransformation by Cytochromes P450 (CYPs), human estrogen sulfotransferase 1E1 (SULT1E1) and selected other phase II enzymes, can lead to the formation of bioactive metabolites. This review mainly focuses on CYP- and SULT-mediated bioactivation of estrogenic EDCs and summarizes our views on this topic while also showing the importance of including bioactivation and biotransformation processes for improved risk assessment strategies.

Mefenamic acid (MFA) has been associated with rare but severe cases of hepatotoxicity, nephrotoxicity, gastrointestinal toxicity, and hypersensitivity reactions that are believed to result from the formation of reactive metabolites. Although formation of protein-reactive acylating metabolites by phase II metabolism has been well-studied and proposed to be the cause of these toxic side effects, the oxidative bioactivation of MFA has not yet been competely characterized. In the present study, the oxidative bioactivation of MFA was studied using human liver microsomes (HLM) and recombinant human P450 enzymes. In addition to the major metabolite 3'-OH-methyl-MFA, resulting from the benzylic hydroxylation by CYP2C9, 4'-hydroxy-MFA and 5-hydroxy-MFA were identified as metabolites resulting from oxidative metabolism of both aromatic rings of MFA. In the presence of GSH, three GSH conjugates were formed that appeared to result from GSH conjugation of the two quinoneimines formed by further oxidation of 4'-hydroxy-MFA and 5-hydroxy-MFA. The major GSH conjugate was identified as 4'-OH-5'-glutathionyl-MFA and was formed at the highest activity by CYP1A2 and to a lesser extent by CYP2C9 and CYP3A4. Two minor GSH conjugates resulted from secondary oxidation of 5-hydroxy-MFA and were formed at the highest activity by CYP1A2 and to a lesser extent by CYP3A4. Additionally, the ability of seven human glutathione S-transferases (hGSTs) to catalyze the GSH conjugation of the quinoneimines formed by P450s was also investigated. The highest increase of total GSH conjugation was observed with hGSTP1-1, followed by hepatic hGSTs hGSTA2-2 and hGSTM1-1. The results of this study show that, next to phase II metabolites, reactive quinoneimines formed by oxidative bioactivation might also contribute to the idiosyncratic toxicity of MFA.

Cytochrome P450 BM3 mutants are promising biocatalysts for the production of drug metabolites. In the present study, the ability of cytochrome P450 BM3 mutants to produce oxidative metabolites of structurally related NSAIDs meclofenamic acid, mefenamic acid and tolfenamic acid was investigated. A library of engineered P450 BM3 mutants was screened with meclofenamic acid (1) to identify catalytically active and selective mutants. Three mono-hydroxylated metabolites were identified for 1. The hydroxylated products were confirmed by NMR analysis to be 3'-OH-methyl-meclofenamic acid (1a), 5-OH-meclofenamic acid (1b) and 4'-OH-meclofenamic acid (1c) which are human relevant metabolites. P450 BM3 variants containing V87I and V87F mutation showed high selectivity for benzylic and aromatic hydroxylation of 1 respectively. The applicability of these mutants to selectively hydroxylate structurally similar drugs such as mefenamic acid (2) and tolfenamic acid (3) was also investigated. The tested variants showed high total turnover numbers in the order of 4000-6000 and can be used as biocatalysts for preparative scale synthesis. Both 1 and 2 could undergo benzylic and aromatic hydroxylation by the P450 BM3 mutants, whereas 3 was hydroxylated only on aromatic rings. The P450 BM3 variant M11 V87F hydroxylated the aromatic ring at 4' position of all three drugs tested with high regioselectivity. Reference metabolites produced by P450 BM3 mutants allowed the characterisation of activity and regioselectivity of metabolism of all three NSAIDs by thirteen recombinant human P450s. In conclusion, engineered P450 BM3 mutants that are capable of benzylic or aromatic hydroxylation of fenamic acid containing NSAIDs, with high selectivity and turnover numbers have been identified. This shows their potential use as a greener alternative for the generation of drug metabolites., (Copyright © 2014 Elsevier Ltd. All rights reserved.)

Nad(p)h: quinone oxidoreductase 1 (NQO1) is an enzyme capable of reducing a broad range of chemically reactive quinones and quinoneimines (QIs) and can be strongly upregulated by Nrf2/Keap1-mediated stress responses. Several commonly used drugs implicated in adverse drug reactions (ADRs) are known to form reactive QI metabolites upon bioactivation by P450, such as acetaminophen (APAP), diclofenac (DF), and mefenamic acid (MFA). In the present study, the reductive activity of human NQO1 toward the QI metabolites derived from APAP and hydroxy-metabolites of DF and MFA was studied, using purified bacterial P450 BM3 (CYP102A1) mutant M11 as a bioactivation system. The NQO1-catalyzed reduction of the QI metabolites was quantified relative to spontaneous glutathione (GSH) conjugation. Addition of NQO1 to the incubations strongly reduced the formation of all corresponding GSH conjugates, and this activity could be prevented by dicoumarol, a selective NQO1 inhibitor. The GSH conjugation was strongly increased by adding human GSTP1-1 in a wide range of GSH concentrations. Still, NQO1 could effectively compete with the GST catalyzed GSH conjugation by reducing the QIs. In conclusion, we identified the QI metabolites of the 4'- and 5-hydroxy-metabolites of DF and MFA as novel substrates for human NQO1. NQO1-mediated reduction proves to be an effective pathway to detoxify these QI metabolites in addition to GSH conjugation. Genetically determined deficiency of NQO1 therefore might be a risk factor for ADRs induced by reactive QI drug metabolites.

Reactive metabolites have been suggested to play a role in the idiosyncratic hepatotoxicity observed with diclofenac (DF). By structural identification of the GSH conjugates formed after P450-catalyzed bioactivation of DF, it was shown that three types of reactive intermediates were formed: p-benzoquinone imines, o-imine methide and arene-oxide. Recently, detection of 2'-(glutathion-S-yl)-deschloro-diclofenac (DDF-SG), resulting from chlorine substitution, suggested the existence of a fourth type of P450-dependent reactive intermediate whose inactivation by GSH is completely dependent on presence of glutathione S-transferase. In this study, fourteen recombinant cytochrome P450s and three flavin-containing monooxygenases were tested for their ability to produce oxidative DF metabolites and their corresponding GSH conjugates. Concerning the hydroxymetabolites and their GSH conjugates, results were consistent with previous studies. Unexpectedly, all tested recombinant P450s were able to form DDF-SG to almost similar extent. DDF-SG formation was found to be partially independent of NADPH and even occurred by heat-inactivated P450. However, product formation was fully dependent on both GSH and glutathione-S-transferase P1-1. DDF-SG formation was also observed in reactions with horseradish peroxidase in absence of hydrogen peroxide. Because DDF-SG was not formed by free iron, it appears that DF can be bioactivated by iron in hemeproteins. This was confirmed by DDF-SG formation by other hemeproteins such as hemoglobin. As a mechanism, we propose that DF is subject to heme-dependent one-electron oxidation. The resulting nitrogen radical cation, which might activate the chlorines of DF, then undergoes a GST-catalyzed nucleophilic aromatic substitution reaction in which the chlorine atom of the DF moiety is replaced by GSH., (Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.)

Recent association studies suggest that genetically determined deficiencies in GSTs might be a risk factor for idiosyncratic adverse drug reactions resulting from the formation of reactive drug metabolites. hGSTP1-1 is polymorphic in the human population with a number of single nucleotide polymorphisms that yield an amino acid change in the encoded protein. Three allelic variants of hGSTP1-1 containing an Ile105Val or Ala114Val substitution, or a combination of both, have been the most widely studied and showed different activity when compared to wild-type hGSTP1-1*A (Ile105/Ala114). In the present study, we studied the ability of these allelic variants to catalyze the GSH conjugation of reactive metabolites of acetaminophen, clozapine, and diclofenac formed by bioactivation in in vitro incubations by human liver microsomes and drug metabolizing P450 BM3 mutants. The results show that effects of the change of amino acid at residue 105 and 114 on conjugation reactions were substrate dependent. A single substitution at residue 105 affects the ability to catalyze GSH conjugation, while when both residue 105 and 114 were substituted the effect was additionally enhanced. Single mutation at position 114 did not show a significant effect. The different hGSTP1-1 mutants showed slightly altered regioselectivities in formation of individual GSH conjugates of clozapine which suggests that the binding orientation of the reactive nitrenium ion of clozapine is affected by the mutations. For diclofenac, a significant decrease in activity in GSH-conjugation of diclofenac 1',4'-quinone imine was observed for variants hGSTP1-1*B (Val105/Ala114) and hGSTP1-1*C (Val105/Val114). However, since the differences in total GSH conjugation activity catalyzed by these allelic variants were not higher than 30%, differences in inactivation of reactive intermediates by hGSTP1-1 are not likely to be a major factor in determining interindividual difference in susceptibility to adverse drug reactions induced by the drugs studied., (Copyright © 2013. Published by Elsevier Ireland Ltd.)

Binding affinity prediction of potential drugs to target and off-target proteins is an essential asset in drug development. These predictions require the calculation of binding free energies. In such calculations, it is a major challenge to properly account for both the dynamic nature of the protein and the possible variety of ligand-binding orientations, while keeping computational costs tractable. Recently, an iterative Linear Interaction Energy (LIE) approach was introduced, in which results from multiple simulations of a protein-ligand complex are combined into a single binding free energy using a Boltzmann weighting-based scheme. This method was shown to reach experimental accuracy for flexible proteins while retaining the computational efficiency of the general LIE approach. Here, we show that the iterative LIE approach can be used to predict binding affinities in an automated way. A workflow was designed using preselected protein conformations, automated ligand docking and clustering, and a (semi-)automated molecular dynamics simulation setup. We show that using this workflow, binding affinities of aryloxypropanolamines to the malleable Cytochrome P450 2D6 enzyme can be predicted without a priori knowledge of dominant protein-ligand conformations. In addition, we provide an outlook for an approach to assess the quality of the LIE predictions, based on simulation outcomes only.

Idiosyncratic adverse drug reactions due to the anti-inflammatory drug diclofenac have been proposed to be caused by the generation of reactive acyl glucuronides and oxidative metabolites. For the oxidative metabolism of diclofenac by cytochromes P450 at least five different reactive intermediates have been proposed previously based on structural identification of their corresponding GSH-conjugates. In the present study, the ability of four human glutathione S-transferases (hGSTs) to catalyze the GSH-conjugation of the different reactive intermediates formed by P450s was investigated. Addition of pooled human liver cytosol and recombinant hGSTA1-1, hGSTM1-1, and hGSTP1-1 to incubations of diclofenac with human liver microsomes or purified CYP102A1M11 L437N as a model system significantly increased total GSH-conjugation. The strongest increase of total GSH-conjugation was observed by adding hGSTP1-1, whereas hGSTM1-1 and hGSTA1-1 showed lower activity. Addition of hGSTT1-1 only showed a minor effect. When considering the effects of hGSTs on GSH-conjugation of the different quinoneimines of diclofenac, it was found that hGSTP1-1 showed the highest activity in GSH-conjugation of the quinoneimine derived from 5-hydroxydiclofenac (5-OH-DF). hGSTM1-1 showed the highest activity in inactivation of the quinoneimine derived from 4'-hydroxydiclofenac (4'-OH-DF). Separate incubations with 5-OH-DF and 4'-OH-DF as substrates confirmed these results. hGSTs also catalyzed GSH-conjugation of the o-iminemethide formed by oxidative decarboxylation of diclofenac as well as the substitution of one of the chlorine atoms of DF by GSH. hGSTP1-1 showed the highest activity for the formation of these minor GSH-conjugates. These results suggest that hGSTs may play an important role in the inactivation of DF quinoneimines and its minor reactive intermediates especially in stress conditions when tissue levels of GSH are decreased.

Clozapine, an often-prescribed antipsychotic drug, is implicated in severe adverse drug reactions (ADRs). Formation of reactive intermediates by cytochrome P450s (CYPs) has been proposed as a possible explanation for these ADRs. Moreover, a protective role for human glutathione S-transferases (hGSTs) was recently shown using purified enzymes. We investigated the interplay between CYP bioactivation and GST detoxification in a reconstituted cellular context using recombinant yeast expressing a bacterial CYP BM3 mutant (M11), mimicking the drug-metabolizing potential of human CYPs, combined with hGSTA1-1, M1-1 or P1-1. Clozapine and the N-desmethylclozapine metabolite caused comparable growth inhibition and reactive oxygen species (ROS) formation, whereas the clozapine-N-oxide metabolite was clearly less toxic. Clozapine metabolism by BM3 M11 and the hGSTs in yeast was confirmed by identification of stable clozapine metabolites and hGST isoform-specific glutathione-conjugates. Oxidative metabolism of clozapine by BM3 M11 increased ROS formation and growth inhibition. Co-expression of hGSTP1-1 protected yeast from BM3 M11 induced growth inhibition in presence of clozapine, whereas similar expression levels of hGSTA1-1 and hGSTM1-1 did not. ROS formation was not lowered by hGSTP1-1 co-expression and was unrelated to mitochondrial electron transport chain (mETC) activity. We present a novel cellular model to study the effect of CYP and GST interplay in drug toxicity., (Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.)

Clozapine is known to cause hepatotoxicity in a small percentage of patients. Oxidative bioactivation to reactive intermediates by hepatic cytochrome P450s (P450s) has be proposed as a possible mechanism. However, in contrast to their role in formation of N-desmethylclozapine and clozapine N-oxide, the involvement of individual P450s in the bioactivation to reactive intermediates is much less well characterized. The results of the present study show that 7 of 14 recombinant human P450s were able to bioactivate clozapine to a glutathione-reactive nitrenium ion. CYP3A4 and CYP2D6 showed the highest specific activity. Enzyme kinetical characterization of these P450s showed comparable intrinsic clearance of bioactivation, implicating that CYP3A4 would be more important because of its higher hepatic expression, compared with CYP2D6. Inhibition experiments using pooled human liver microsomes confirmed the major role of CYP3A4 in hepatic bioactivation of clozapine. By studying bioactivation of clozapine in human liver microsomes from 100 different individuals, an 8-fold variability in bioactivation activity was observed. In two individuals bioactivation activity exceeded N-demethylation and N-oxidation activity. Quinidine did not show significant inhibition of bioactivation in any of these liver fractions, suggesting that CYP2D6 polymorphism is not an important factor in determining susceptibility to hepatotoxicity of clozapine. Therefore, interindividual differences and drug-drug interactions at the level of CYP3A4 might be factors determining exposure of hepatic tissue to reactive clozapine metabolites.

Objective: To investigate whether lipid and protein oxidation products are elevated and correlated with routine clinical markers of hepatic and renal function in patients anesthetized with halothane, isoflurane, or sevoflurane., Methods: Urine and blood samples were collected from patient groups. Excretion of aldehydes, acetone, and o,o'-dityrosine was measured before and after anesthesia. Blood samples were analysed for clinical markers., Results: Urinary concentrations of aldehydes, acetone, o,o'-dityrosine and glucose were significantly increased after anesthesia in halothane and sevoflurane groups earlier than clinical markers. Significant correlations were found in sevoflurane group., Conclusion: Lipid and protein oxidation contributes to subclinical sevoflurane nephrotoxicity. Oxidation products may serve as early biomarkers.

High drug attrition rates due to toxicity, the controversy of experimental animal usage, and the EU REACH regulation demanding toxicity profiles of a high number of chemicals demonstrate the need for new, in vitro toxicity models with high predictivity and throughput. Metabolism by cytochrome P450s (P450s) is one of the main causes of drug toxicity. As some of these enzymes are highly polymorphic leading to large differences is metabolic capacity, isotype-specific test systems are needed. In this review, we will discuss the use of yeast expressing (mammalian) P450s as a powerful, additional model system in drug safety. We will discuss the various cellular model systems for bioactivation-related toxicity and subsequently describe the properties of yeast as a model system, including the endogenous bioactivation enzymes present, the heterologous expression of (mammalian) P450s and the application of yeasts expressing heterologous P450s and/or other biotransformation enzymes in toxicity studies. All major human drug-metabolizing P450s have been successfully expressed in yeast and various mutagenicity tests have been performed with these humanized yeast strains. The few examples of non-mutagenic toxicity studies with these strains and of the combination of P450s with phase II or other human enzymes show the potential of yeast as a model system in metabolism-related toxicity studies. The wide variety of genome-wide screens available in yeast, combined with its well-annotated genome, also facilitate follow-up studies on the genes involved in toxicity. Unless indicated otherwise "yeast" will refer to baker's yeast Saccharomyces cerevisiae.

Use of the nonsteroidal anti-inflammatory drug diclofenac (DF) is associated with serious idiosyncratic hepatotoxicity. Covalent binding of reactive intermediates of DF to proteins is considered to initiate the process leading to this severe side-effect. The aim of this study was to characterize the nature of covalent protein modifications by reactive metabolites of DF which result from bioactivation by cytochrome P450. DF and its major monohydroxylated metabolites 4'-hydroxydiclofenac (4'-OH-DF) and 5-hydroxydiclofenac (5-OH-DF) were bioactivated using a highly active P450 BM3 mutant (CYP102A1M11H) in the presence of the model target protein human glutathione-S-transferase P1-1 (hGST P1-1). Protein-adducts were subsequently identified by LC-MS/MS analysis of tryptic digests of hGST P1-1. In total, 10 different peptide adducts were observed which result from modifications of Cys-47 and Cys-14 of hGST P1-1. The majority of the protein thiol modifications appeared to be derived from 5-OH-DF, which produced seven different peptide adducts with mass increments of 289.0, 309.0, and 339.0 Da. Remarkably, no peptide adducts were observed upon the bioactivation of 4'-OH-DF. Incubations of P450 BM3 with DF also showed the peptide adducts derived from 5-OH-DF and peptide adducts that are not derived from quinone imine. A peptide adduct with a mass increment of 249.0 Da most likely results from the o-imine methide formed by oxidative decarboxylation of DF. In addition, a peptide adduct was observed with a mass increment of 259.0 Da, which corresponds to the substitution of one of the chlorine atoms of DF by protein thiol. A corresponding GSH-conjugate with a similar mass increment was only observed if incubations of DF with P450 and GSH were supplemented by human GST P1-1. The results of this study not only confirm the importance of 5-OH-DF in covalent protein-binding but also suggest that the nature of protein adduction is not necessarily reflected by chemical conjugation with GSH.

Previously, stereoselective hydroxylation of α-ionone by Cytochrome P450 BM3 mutants M01 A82W and M11 L437N was observed. While both mutants hydroxylate α-ionone in a regioselective manner at the C3 position, M01 A82W catalyzes formation of trans-3-OH-α-ionone products whereas M11 L437N exhibits opposite stereoselectivity, producing trans-(3S,6S)-OH-α-ionone and cis-(3S,6R)-OH-α-ionone. Here, we explore the stereoselective C3 hydroxylation of α-ionone by Cytochrome P450 BM3 mutants M01 A82W and M11 L437N using molecular dynamics-based free energy calculations to study the interaction between the enzyme and both the substrates and the products. The one-step perturbation approach is applied using an optimized reference state for substrates and products. While the free energy differences between the substrates free in solution amount to ~0 kJ mol(-1), the differences in mutant M01 A82W agree with the experimentally obtained dissociation constants K(d). Moreover, a correlation with experimentally observed trends in product formation is found in both mutants. The trans isomers show the most favorable relative binding free energy in the range of all four possible hydroxylated diastereomers for mutant M01 A82W, while the trans product from (6S)-α-ionone and the cis product from (6R)-α-ionone show highest affinity for mutant M11 L437N. Marcus theory is subsequently used to relate the thermodynamic stability to transition state energies and rates of formation.

Methods to unequivocally assess and quantify exposure to organophosphate anti-cholinesterase agents are highly valuable, either from a biomonitoring or a forensic perspective. Since for both OP pesticides and various nerve agents the skin is a predominant route of entry, we hypothesized that proteins in the skin might represent an ideal source of unequivocal and persistent biomarkers for exposure to these compounds. In this exploratory study we show that keratin proteins in human skin are relevant binding sites for organophosphates. The thick cornified epithelium of human plantar skin (callus) was exposed to a selection of relevant organophosphorus compounds and keratin proteins were subsequently extracted. After carboxymethylation of cysteine residues, enzymatic digestion of the keratins with pronase and trypsin was performed and the resulting amino acid and peptides were analyzed to assess whether covalent adducts had formed. LC-tandem MS analysis of the pronase digests demonstrated that tyrosine and to a lesser extent serine residues were selectively modified by organophosphate pesticides (both phosphorothioates and the corresponding oxon forms) under physiological conditions. In addition, modification of tyrosine with the nerve agent VX was unequivocally assessed. In order to elucidate specific binding sites, LC-tandem MS analysis of trypsin digests showed two separate tryptic keratin fragments, i.e. LASY*LDK and SLY*GLGGSK, with Y* the modified tyrosine residues, originating from keratin 1/6 and keratin 10, respectively. These preliminary findings, revealing novel binding targets for anti-cholinesterase organophosphates, will form a firm basis for the development of novel (non-invasive) methods for assessment of exposure to organophosphates. Whether this binding will also have biological implications remains an issue for further investigations., (Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.)

Inversion of stereoselectivity: screening of a minimal mutant library revealed a cytochrome P450 BM3 variant M01 A82W S72I capable of producing 16 α-OH-testosterone. Remarkably, a single active site mutation S72I in M01 A82W inverted the stereoselectivity of hydroxylation from 16 β to 16 α. Introduction of S72I mutation in another 16 β-OH-selective variant M11 V87I, also resulted in similar inversion of stereoselectivity., (Copyright © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Non-steroidal anti-inflammatory drugs (NSAIDs) are widely used in the treatment of pain and inflammation. However, this group of drugs is associated with serious adverse drug reactions. Previously, we studied the mechanisms underlying toxicity of the NSAID diclofenac using Saccharomycescerevisiae as model system. We identified the involvement of several mitochondrial proteins, a transporter and cytochrome P450 activity in diclofenac toxicity. In this study, we investigated if these processes are also involved in the toxicity of other NSAIDs. We divided the NSAIDs into three classes based on their toxicity mechanisms. Class I consists of diclofenac, indomethacin and ketoprofen. Mitochondrial respiration and reactive oxygen species (ROS) play a major role in the toxicity of this class. Metabolism by cytochrome P450s further increases their toxicity, while ABC-transporters decrease the toxicity. Mitochondria and oxidative metabolism also contribute to toxicity of class II drugs ibuprofen and naproxen, but another cellular target dominates their toxicity. Interestingly, ibuprofen was the only NSAID that was unable to induce upregulation of the multidrug resistance response. The class III NSAIDs sulindac, ketorolac and zomepirac were relatively non-toxic in yeast. In conclusion, we demonstrate the use of yeast to investigate the mechanisms underlying the toxicity of structurally related drugs., (Copyright © 2011 Elsevier Ltd. All rights reserved.)

Recently, it was found that mutations in the binding cavity of drug-metabolizing Cytochrome P450 BM3 mutants can result in major changes in regioselectivity in testosterone (TES) hydroxylation. In the current work, we report the intrinsic reactivity of TES' C-H bonds and our attempts to rationalize experimentally observed changes in TES hydroxylation using a protein structure-based in silico approach, by setting up and employing a combined Molecular Dynamics (MD) and ligand docking approach to account for the flexibility and plasticity of BM3 mutants. Using this approach, about 100,000 TES binding poses were obtained per mutant. The predicted regioselectivity in TES hydroxylation by the mutants was found to be in disagreement with experiment. As revealed in a detailed structural analysis of the obtained docking poses, this disagreement is due to limitations in correctly scoring hydrogen-bonding and steric interactions with specific active-site residues, which could explain the experimentally observed trends in regioselectivity in TES hydroxylation.

Cytochrome P450 BM3 from Bacillus megaterium is a monooxygenase with great potential for biotechnological applications. In this paper, we present engineered drug-metabolizing P450 BM3 mutants as a novel tool for regioselective hydroxylation of steroids at position 16β. In particular, we show that by replacing alanine at position 82 with a tryptophan in P450 BM3 mutants M01 and M11, the selectivity toward 16β-hydroxylation for both testosterone and norethisterone was strongly increased. The A82W mutation led to a ≤42-fold increase in V(max) for 16β-hydroxylation of these steroids. Moreover, this mutation improves the coupling efficiency of the enzyme, which might be explained by a more efficient exclusion of water from the active site. The substrate affinity for testosterone increased at least 9-fold in M11 with tryptophan at position 82. A change in the orientation of testosterone in the M11 A82W mutant as compared to the orientation in M11 was observed by T(1) paramagnetic relaxation nuclear magnetic resonance. Testosterone is oriented in M11 with both the A- and D-ring protons closest to the heme iron. Substituting alanine at position 82 with tryptophan results in increased A-ring proton-iron distances, consistent with the relative decrease in the level of A-ring hydroxylation at position 2β.

In the present study, a site-saturation mutagenesis library of drug-metabolizing CYP102A1 M11H with all 20 amino acids at position 87 was applied as a biocatalyst for the production of stable and reactive metabolites of clozapine. Clozapine is an atypical antipsychotic drug in which formation of reactive metabolites is considered to be responsible for several adverse drug reactions. Reactive intermediates of clozapine can be inactivated by GSH to multiple GSH conjugates by nonenzymatic and glutathione transferase (GST)-mediated conjugation reactions. The structures of several GST-dependent metabolites have not yet been elucidated unequivocally. The present study shows that the nature of the amino acid at position 87 of CYP102A1 M11H strongly determines the activity and regioselectivity of clozapine metabolism. Some mutants showed preference for N-demethylation and N-oxidation, whereas others showed high selectivity for bioactivation to reactive intermediates. The mutant containing Phe87 showed high activity and high selectivity for the bioactivation pathway and was used for the large-scale production of GST-dependent GSH conjugates by incubation in the presence of recombinant human GST P1-1. Five human-relevant GSH adducts were produced at high levels, enabling structural characterization by (1)H NMR. This work shows that drug-metabolizing CYP102A1 mutants, in combination with GSTs, are very useful tools for the generation of GSH conjugates of reactive metabolites of drugs to enable their isolation and structural elucidation.

Diclofenac is a widely used analgesic drug that can cause serious adverse drug reactions. We used Saccharomyces cerevisiae as a model eukaryote with which to elucidate the molecular mechanisms of diclofenac toxicity and resistance. Although most yeast cells died during the initial diclofenac treatment, some survived and started growing again. Microarray analysis of the adapted cells identified three major processes involved in diclofenac detoxification and tolerance. In particular, pleiotropic drug resistance (PDR) genes and genes under the control of Rlm1p, a transcription factor in the protein kinase C (PKC) pathway, were upregulated in diclofenac-adapted cells. We tested if these processes or pathways were directly involved in diclofenac toxicity or resistance. Of the pleiotropic drug resistance gene products, the multidrug transporter Pdr5p was crucially important for diclofenac tolerance. Furthermore, deletion of components of the cell wall stress-responsive PKC pathway increased diclofenac toxicity, whereas incubation of cells with the cell wall stressor calcofluor white before the addition of diclofenac decreased its toxicity. Also, diclofenac induced flocculation, which might trigger the cell wall alterations. Genes involved in ribosome biogenesis and rRNA processing were downregulated, as were zinc-responsive genes. Paradoxically, deletion of the zinc-responsive transcription factor Zap1p or addition of the zinc chelator 1,10-phenanthroline significantly increased diclofenac toxicity, establishing a regulatory role for zinc in diclofenac resistance. In conclusion, we have identified three new pathways involved in diclofenac tolerance in yeast, namely, Pdr5p as the main contributor to the PDR response, cell wall signaling via the PKC pathway, and zinc homeostasis, regulated by Zap1p.

In the present study, the diversity of a library of drug-metabolizing bacterial cytochrome P450 (P450) BM3 mutants was evaluated by a liquid chromatography-mass spectrometry (LC-MS)-based screening method. A strategy was designed to identify a minimal set of BM3 mutants that displays differences in regio- and stereoselectivities and is suitable to metabolize a large fraction of drug chemistry space. We first screened the activities of six structurally diverse BM3 mutants toward a library of 43 marketed drugs (encompassing a wide range of human P450 phenotypes, cLogP values, charges, and molecular weights) using a rapid LC-MS method with an automated method development and data-processing system. Significant differences in metabolic activity were found for the mutants tested and based on this drug library screen; nine structurally diverse probe drugs were selected that were subsequently used to study the metabolism of a library of 14 BM3 mutants in more detail. Using this alternative screening strategy, we were able to select a minimal set of BM3 mutants with high metabolic activities and diversity with respect to substrate specificity and regiospecificity that could produce both human relevant and BM3 unique drug metabolites. This panel of four mutants (M02, MT35, MT38, and MT43) was capable of producing P450-mediated metabolites for 41 of the 43 drugs tested while metabolizing 77% of the drugs by more than 20%. We observed this as the first step in our approach to use of bacterial P450 enzymes as general reagents for lead diversification in the drug development process and the biosynthesis of drug(-like) metabolites.

Covalent binding of reactive metabolites (RMs) to proteins is considered to be one of the important mechanisms by which drugs can cause tissue damage. To facilitate the study of drug-protein adducts, we developed a potentially generic method for producing high levels of covalently modified proteins. A highly active drug metabolizing P450 BM3 mutant (CYP102A1M11H) is used for drug bioactivation. Because of its His-tag, CYP102A1M11H is easily removed by nickel affinity chromatography, facilitating subsequent characterization of the modified target protein. The applicability of our procedure is demonstrated by the trapping of RMs of acetaminophen (APAP), clozapine (CLOZ), and troglitazone (TGZ) with human glutathione-S-transferase P1-1 (hGST P1-1) as the model target protein. Tryptic digests of hGST P1-1 were subjected to analysis by LC-MS/MS and modified peptides identified by the comparative analysis of tryptic peptides of adducted and nonadducted hGST P1-1. Characteristic MS/MS ions of drug-modified peptides were identified by first searching for expected adduct-masses. Unanticipated drug-peptide adducts were subsequently identified in an unbiased manner by screening for diagnostic MS/MS ions of modified peptides. Reactive intermediates of APAP and CLOZ adducted to cysteine-47 and mass shifts corresponded to the alkylation of N-acetyl-p-benzoquinone imine (NAPQI) and the CLOZ nitrenium ion, respectively. Adduction of TGZ appeared more complex, yielding three different types of adducts to cysteine-47, two adducts to cysteine-14, and a single adduct to cysteine-101. Together, these findings show that P450 BM3 mutants with high capacity to activate drugs into relevant RMs can be employed to produce protein adducts to study the nucleophilic selectivity of highly reactive electrophiles.