LC–MS–MS identification of albendazole and flubendazole metabolites formed <Emphasis Type="Italic">ex vivo</Emphasis> by <Emphasis Type="Italic">Haemonchus contortus</Emphasis>

Resistance of helminth parasites to common anthelminthics is a problem of increasing importance. The full mechanism of resistance development is still not thoroughly elucidated. There is also limited information about helminth enzymes involved in metabolism of anthelminthics. Identification of the metabolites formed by parasitic helminths can serve to specify which enzymes take part in biotransformation of anthelminthics and may participate in resistance development. The aim of our work was to identify the metabolic pathways of the anthelminthic drugs albendazole (ABZ) and flubendazole (FLU) in Haemonchus contortus, a world-wide distributed helminth parasite of ruminants. ABZ and FLU are benzimidazole anthelminthics commonly used in parasitoses treatment. In our ex vivo study one hundred living adults of H. contortus, obtained from the abomasum of an experimentally infected lamb, were incubated in 5 mL RPMI-1640 medium with 10 μmol L⁻¹ benzimidazole drug (10% CO₂, 38 °C) for 24 h. The parasite bodies were then removed from the medium. After homogenization of the parasites, both parasite homogenates and medium from the incubation were separately extracted using solid-phase extraction. The extracts were analyzed by liquid chromatography–mass spectrometry (LC–MS) with electrospray ionization (ESI) in positive-ion mode. The acquired data showed that H. contortus can metabolize ABZ via sulfoxidation and FLU via reduction of a carbonyl group. Albendazole sulfoxide (ABZSO) and reduced flubendazole (FLUR) were the only phase I metabolites detected. Concerning phase II of biotransformation, the formation of glucose conjugates of ABZ, FLU, and FLUR was observed. All metabolites mentioned were found in both parasite homogenates and medium from the incubation.     

Rapid identification of phase I and II metabolites of artemisinin antimalarials using LTQ‐Orbitrap hybrid mass spectrometer in combination with online hydrogen/deuterium exchange technique

Artemisinin drugs have become the first‐line antimalarials in areas of multi‐drug resistance. However, monotherapy with artemisinin drugs results in comparatively high recrudescence rates. Autoinduction of CYP‐mediated metabolism, resulting in reduced exposure, has been supposed to be the underlying mechanism. To better understand the autoinduction of artemisinin drugs, we evaluated the biotransformation of artemisinin, also known as Qing‐hao‐su (QHS), and its active derivative dihydroartemisinin (DHA) in vitro and in vivo, using LTQ‐Orbitrap hybrid mass spectrometer in conjunction with online hydrogen (H)/deuterium (D) exchange high‐resolution (HR)‐LC/MS (mass spectrometry) for rapid structural characterization. The LC separation was improved allowing the separation of QHS parent drugs and their metabolites from their diastereomers. Thirteen phase I metabolites of QHS have been identified in liver microsomal incubates, rat urine, bile and plasma, including six deoxyhydroxylated metabolites, five hydroxylated metabolites, one dihydroxylated metabolite and deoxyartemisinin. Twelve phase II metabolites of QHS were detected in rat bile, urine and plasma. DHA underwent similar metabolic pathways, and 13 phase I metabolites and 3 phase II metabolites were detected. Accurate mass data were obtained in both full‐scan and MS/MS mode to support assignments of metabolite structures. Online H/D exchange LC‐HR/MS experiments provided additional evidence in differentiating deoxydihydroxylated metabolites from mono‐hydroxylated metabolites. The results showed that the main phase I metabolites of artemisinin drugs are hydroxylated and deoxyl products, and they will undergo subsequent phase II glucuronidation processes. This study also demonstrated the effectiveness of online H/D exchange LC‐HR/MSⁿ technique in rapid identification of drug metabolites. Copyright © 2011 John Wiley & Sons, Ltd.     

Simultaneous determination of benzimidazoles and their metabolites in plasma using high-performance liquid chromatography/tandem mass spectrometry: application to pharmacokinetic studies in rabbits

An HPLC/MS/MS method was developed for the simultaneous determination of the following benzimidazole anthelmintics and metabolites in plasma: flubendazole, albendazole, fenbendazole, mebendazole, thiabendazole, hydrolyzed flubendazole, albendazole sulfoxide, albendazole sulfone, albendazole aminosulfone, oxfendazole, fenbendazole sulfone, aminomebendazole, hydroxymebendazole, and 5-hydroxythiabendazole. The sample preparation process involved a pH-dependent extraction of the analytes. Chromatographic separation was performed on a C18 column with a mobile phase gradient starting with methanol-water (20 + 80, v/v) containing 0.1% formic acid. The overall average recoveries of the analytes based on a matrix-matched calibration ranged from 75.0 to 120.0%, with RSD values of <20.0%. The LODs ranged from 0.08 to 2.0 microg/kg and the LOQs from 0.3 to 5.0 microg/kg. The validated method was used in pharmacokinetic studies of benzimidazole compounds in rabbits, and the elimination of the metabolites was measured quantitatively.     

Identification of phase I and II metabolites of the new designer drug α‐pyrrolidinohexiophenone (α‐PHP) in human urine by liquid chromatography quadrupole time‐of‐flight mass spectrometry (LC‐QTOF‐MS)

Pyrrolidinophenones represent one emerging class of newly encountered drugs of abuse, also known as ‘new psychoactive substances’, with stimulating psychoactive effects. In this work, we report on the detection of the new designer drug α‐pyrrolidinohexiophenone (α‐PHP) and its phase I and II metabolites in a human urine sample of a drug abuser. Determination and structural elucidation of these metabolites have been achieved by liquid chromatography electrospray ionisation quadrupole time‐of‐flight mass spectrometry (LC‐ESI‐QTOF‐MS). By tentative identification, the exact and approximate structures of 19 phase I metabolites and nine phase II glucuronides were elucidated. Major metabolic pathways revealed the reduction of the ß‐keto moieties to their corresponding alcohols, didesalkylation of the pyrrolidine ring, hydroxylation and oxidation of the aliphatic side chain leading to n‐hydroxy, aldehyde and carboxylate metabolites, and oxidation of the pyrrolidine ring to its lactam followed by ring cleavage and additional hydroxylation, reduction and oxidation steps and combinations thereof. The most abundant phase II metabolites were glucuronidated ß‐keto‐reduced alcohols. Besides the great number of metabolites detected in this sample, α‐PHP is still one of the most abundant ions together with its ß‐keto‐reduced alcoholic dihydro metabolite. Monitoring of these metabolites in clinical and forensic toxicology may unambiguously prove the abuse of the new designer drug α‐PHP. Copyright © 2015 John Wiley & Sons, Ltd.     

Rapid detection and structural characterization of verapamil metabolites in rats by UPLC–MSE and UNIFI platform

High-resolution mass spectrometry (HRMS) is an important technology for studying biotransformations of drugs in biological systems. In order to process complex HRMS data, bioinformatics, including data-mining techniques for identifying drug metabolites from liquid chromatography/high-resolution mass spectrometry (LC/HRMS) or multistage mass spectrometry (MSⁿ) datasets as well as elucidating the detected metabolites’ structure by spectral interpretation software, are important tools. Data-mining technologies have widely been used in drug metabolite identification, including mass defect filters, product ion filters, neutral-loss filters, control sample comparisons and extracted ion chromatographic analysis. However, the metabolites identified by current different technologies are not the same, indicating the importance of technique integration for efficient and complete identification of metabolic products. In this study, a universal, high-throughput workflow for identifying and verifying metabolites by applying the drug metabolite identification software UNIFI is reported, to study the biotransformation of verapamil in rats. A total of 71 verapamil metabolites were found in rat plasma, urine and faeces, including two metabolites that have not been reported in the literature. Phase I metabolites of verapamil were identified as N-demethylation, O-demethylation, N-dealkylation and oxidation and dehydrogenation metabolites; phase II metabolites were mainly glucuronidation and sulfate conjugates, indicating that UNIFI software could be effective and valuable in identifying drug metabolites.     

Metabolite identification of artemether by data-dependent accurate mass spectrometric analysis using an LTQ-Orbitrap hybrid mass spectrometer in combination with the online hydrogen/deuterium exchange technique

Artemether (ARM), the O-methyl ether prodrug of dihydroartemisinin (DHA), is a first-line antimalarial drug used in areas of multi-drug resistance. Artemisinin drugs can be metabolized extensively in vivo and this seems related to their autoinduction pharmacokinetics. In the present study, the metabolite identification of ARM was performed by the generic data-dependent accurate mass spectrometric analysis, using high-resolution (HR) liquid chromatography/electrospray ionization mass spectrometry (LC/ESI-MS) and tandem mass spectrometry (MS/MS) LTQ-Orbitrap hybrid mass spectrometer in conjunction with online hydrogen (H)/deuterium (D) exchange for rapid structural characterization. The LC separation was improved allowing the separation of ARM parent drugs and their metabolites from their diastereomers. A total of 77 phase I metabolites of ARM were identified in rat liver microsomal incubates and rat urine, including dihydroartemisinin and artemisinin. In rat bile, 12 phase II metabolites were found. Accurate mass data were obtained in both full scan and HR-MS/MS mode to support assignments of metabolite structures. Online H/D exchange LC/HR-ESI-MS experiments provided additional evidence in differentiating dihydroxylated deoxy-ARM from mono-hydroxylated ARM. The results showed the main phase I metabolites of artemether are hydroxylated, dehydro, demethylated and deoxy products, and they will undergo subsequent phase II glucuronidation processes. Most metabolites were reported for the first time. This study also demonstrated the effectiveness of high-resolution mass spectrometry in combination with an online H/D exchange LC/HR-MS(n) technique in rapid identification of drug metabolites.     

Identification and structural characterization of in vivo metabolites of ketorolac using liquid chromatography electrospray ionization tandem mass spectrometry (LC/ESI‐MS/MS)

In vivo metabolites of ketorolac (KTC) have been identified and characterized by using liquid chromatography positive ion electrospray ionization high resolution tandem mass spectrometry (LC/ESI‐HR‐MS/MS) in combination with online hydrogen/deuterium exchange (HDX) experiments. To identify in vivo metabolites, blood urine and feces samples were collected after oral administration of KTC to Sprague–Dawley rats. The samples were prepared using an optimized sample preparation approach involving protein precipitation and freeze liquid separation followed by solid‐phase extraction and then subjected to LC/HR‐MS/MS analysis. A total of 12 metabolites have been identified in urine samples including hydroxy and glucuronide metabolites, which are also observed in plasma samples. In feces, only O‐sulfate metabolite and unchanged KTC are observed. The structures of metabolites were elucidated using LC‐MS/MS and MSⁿ experiments combined with accurate mass measurements. Online HDX experiments have been used to support the structural characterization of drug metabolites. The main phase I metabolites of KTC are hydroxylated and decarbonylated metabolites, which undergo subsequent phase II glucuronidation pathways. Copyright © 2012 John Wiley & Sons, Ltd.     

LC with Fluorimetric Detection for Sensitive Analysis of Reduced Flubendazole in Biological Samples

A validated LC method is proposed for analysis of flubendazole and its metabolites in biological samples of Haemonchus contortus. Two detectors were used—photodiode-array and spectrofluorimetric. The native fluorescence of reduced flubendazole, the key substance investigated during biological experiments, was used for its fluorimetric detection with a very low limit of quantification (0.63 nmol L^?1).     

Low resolution and high resolution MS for studies on the metabolism and toxicological detection of the new psychoactive substance methoxypiperamide (MeOP)

In 2013, the new psychoactive substance methoxypiperamide (MeOP) was first reported to the European Monitoring Centre for Drug and Drug Addiction. Its structural similarity to already controlled piperazine designer drugs might have contributed to the decision to offer MeOP for online purchase. The aims of this work were to identify the phase I/II metabolites of MeOP in rat urine and the human cytochrome P450 (CYP) isoenzymes responsible for the initial metabolic steps. Finally, the detectability of MeOP in rat urine by gas chromatography–mass spectrometry (GC‐MS) and liquid chromatography coupled with multistage mass spectrometry (LC‐MSⁿ) standard urine screening approaches (SUSAs) was evaluated. After sample preparation by cleavage of conjugates followed by extraction for elucidating phase I metabolites, the analytes were separated and identified by GC‐MS as well as liquid chromatography‐high resolution‐tandem mass spectrometry (LC‐HR‐MS/MS). For detection of phase II metabolites, the analytes were separated and identified after urine precipitation followed by LC‐HR‐MS/MS. The following metabolic steps could be postulated: hydrolysis of the amide, N‐oxide formation, N‐ and/or O‐demethylation, oxidation of the piperazine ring to the corresponding keto‐piperazine, piperazine ring opening followed by oxidation of a methylene group to the corresponding imide, and hydroxylation of the phenyl group. Furthermore, N‐acetylation, glucuronidation and sulfation were observed. Using human CYPs, CYP1A2, CYP2C19, CYP2D6, and/or CYP3A4 were found to catalyze N‐oxide formation and N‐, O‐demethylation and/or oxidation. Mostly MeOP and N‐oxide‐MeOP but to a minor degree also other metabolites could be detected in the GC‐MS and LC‐MSⁿ SUSAs. Copyright © 2015 John Wiley & Sons, Ltd.     

液相色谱串联质谱法同时测定饲料中8种苯并咪唑类药物

建立了同时测定饲料中8种苯并咪唑类药物(噻苯咪唑、丙硫咪唑、硫苯咪唑、苯硫氧咪唑、氟苯咪唑、甲苯咪唑、丙氧苯唑和三氯苯唑)的液相色谱串联质谱分析方法。饲料样品用酸化乙腈直接提取,提取液用甲酸溶液稀释后进行分析。分析时用XBridgeTMC18色谱柱,以甲酸溶液-乙腈体系进行梯度洗脱,MRM方式测定,基质外标法定量。8种苯并咪唑类药物均在0.02~10.0 mg.L-1范围内呈良好的线性关系,相关系数(r2)均不低于0.990,在饲料样品中的检出限为2.1~63.0μg.kg-1。饲料中苯并咪唑类药物在0.50、30、200 mg.kg-13种加标水平下的回收率为84%~104%,相对标准偏差均小于10.0%。方法分析单个样品约需30 min,该方法适合饲料中8种苯并咪唑类药物的同时分析。     

New cathinone‐derived designer drugs 3‐bromomethcathinone and 3‐fluoromethcathinone: studies on their metabolism in rat urine and human liver microsomes using GC–MS and LC–high‐resolution MS and their detectability in urine

3‐Bromomethcathinone (3‐BMC) and 3‐Fluoromethcathinone (3‐FMC) are two new designer drugs, which were seized in Israel during 2009 and had also appeared on the illicit drug market in Germany. These two compounds were sold via the Internet as so‐called “bath salts” or “plant feeders.” The aim of the present study was to identify for the first time the 3‐BMC and 3‐FMC Phase I and II metabolites in rat urine and human liver microsomes using GC–MS and LC–high‐resolution MS (HR‐MS) and to test for their detectability by established urine screening approaches using GC–MS or LC–MS. Furthermore, the human cytochrome‐P450 (CYP) isoenzymes responsible for the main metabolic steps were studied to highlight possible risks of consumption due to drug–drug interaction or genetic variations. For the first aim, rat urine samples were extracted after and without enzymatic cleavage of conjugates. The metabolites were separated and identified by GC–MS and by LC–HR‐MS. The main metabolic steps were N‐demethylation, reduction of the keto group to the corresponding alcohol, hydroxylation of the aromatic system and combinations of these steps. The elemental composition of the metabolites identified by GC–MS could be confirmed by LC–HR‐MS. Furthermore, corresponding Phase II metabolites were identified using the LC–HR‐MS approach. For both compounds, detection in rat urine was possible within the authors' systematic toxicological analysis using both GC–MS and LC–MSⁿ after a suspected recreational users dose. Following CYP enzyme kinetic studies, CYP2B6 was the most relevant enzyme for both the N‐demethylation of 3‐BMC and 3‐FMC after in vitro–in vivo extrapolation. Copyright © 2012 John Wiley & Sons, Ltd.     

Studies on the metabolism and toxicological detection of glaucine,an isoquinoline alkaloid from Glaucium flavum (Papaveraceae), in rat urine using GC‐MS,LC‐MSn and LC‐high‐resolution MSn

Glaucine ((S)‐5,6,6a,7‐tetrahydro‐1,2,9,10‐tetramethoxy‐6‐methyl‐4H‐dibenzo [de,g]quinoline) is an isoquinoline alkaloid and main component of Glaucium flavum (Papaveraceae). It was described to be consumed as recreational drug alone or in combination with other drugs. Besides this, glaucine is used as therapeutic drug in Bulgaria and other countries as cough suppressant. Currently, there are no data available concerning metabolism and toxicological analysis of glaucine. To study both, glaucine was orally administered to Wistar rats and urine was collected. For metabolism studies, work‐up of urine samples consisted of protein precipitation or enzymatic cleavage followed by solid‐phase extraction. Samples were afterwards measured by liquid chromatography (LC) coupled to low or high‐resolution mass spectrometry (HR‐MS). The phase I and II metabolites were identified by detailed interpretation of the corresponding fragmentations, which were further confirmed by determination of their elemental composition using HR‐MS. From these data, the following metabolic pathways could be proposed: O‐demethylation at position 2, 9 and 10, N‐demethylation, hydroxylation, N‐oxidation and combinations of them as well as glucuronidation and/or sulfation of the phenolic metabolites. For monitoring a glaucine intake in case of abuse or poisoning, the O‐ and N‐demethylated metabolites were the main targets for the gas chromatography‐MS and LC‐MSⁿ screening approaches described by the authors. Both allowed confirming an intake of glaucine in rat urine after a dose of 2 mg/kg body mass corresponding to a common abuser's dose. Copyright © 2013 John Wiley & Sons, Ltd.     

Identification and characterization of in vitro and in vivo fidarestat metabolites: Toxicity and efficacy evaluation of metabolites

The progression of diabetic complications can be prevented by inhibition of aldose reductase and fidarestat considered to be highly potent. To date, metabolites of the fidarestat, toxicity, and efficacy are unknown. Therefore, the present study on characterization of hitherto unknown in vitro and in vivo metabolites of fidarestat using liquid chromatography–electrospray ionization tandem mass spectrometry (LC/ESI/MS/MS) is undertaken. In vitro and in vivo metabolites of fidarestat have been identified and characterized by using LC/ESI/MS/MS and accurate mass measurements. To identify in vivo metabolites, plasma, urine, and feces samples were collected after oral administration of fidarestat to Sprague–Dawley rats, whereas for in vitro metabolites, fidarestat was incubated in human S9 fraction, human liver microsomes, and rat liver microsomes. Furthermore, in silico toxicity and efficacy of the identified metabolites were evaluated. Eighteen metabolites have been identified. The main in vitro phase I metabolites of fidarestat are oxidative deamination, oxidative deamination and hydroxylation, reductive defluroniation, and trihydroxylation. Phase II metabolites are methylation, acetylation, glycosylation, cysteamination, and glucuronidation. Docking studies suggest that oxidative deaminated metabolite has better docking energy and conformation that keeps consensus with fidarestat whereas the rest of the metabolites do not give satisfactory results. Aldose reductase activity has been determined for oxidative deaminated metabolite (F‐1), and it shows an IC50 value of 0.44 μM. The major metabolite, oxidative deaminated, did not show any cytotoxicity in H9C2, HEK, HEPG2, and Panc1 cell lines. However, in silico toxicity, the predication result showed toxicity in skin irritation and ocular irritancy SEV/MOD versus MLD/NON (v5.1) model for fidarestat and its all metabolites. In drug discovery and development research, it is distinctly the case that the potential for pharmacologically active metabolites must be considered. Thus, the active metabolites of fidarestat may have an advantage as drug candidates as many drugs were initially observed as metabolites.     

Strategies for ascertaining the interference of phase II metabolites co‐eluting with parent compounds using LC–MS/MS

LC‐MS/MS is currently the most selective and efficient tool for the quantitative analysis of drugs and metabolites in the pharmaceutical industry and in clinical assays. However, phase II metabolites sometimes negatively affect the selectivity and efficiency of the LC‐MS/MS method, especially for the metabolites that possess similar physicochemical characteristics and generate the same precursor ions as their parent compounds due to the in‐source collision‐induced dissociation during the ionization process. This paper proposes some strategies for examining co‐eluting metabolites existing in real samples, and further assuring whether these metabolites could affect the selectivity and accuracy of the analytical methods. Strategies using precursor‐ion scans and product‐ion scans were applied in this study. An example drug, namely, caffeic acid phenethyl ester, which can generate many endogenous phase II metabolites, was selected to conduct this work. These metabolites, generated during the in vivo metabolic processes, can be in‐source‐dissociated to the precursor ions of their parent compounds. If these metabolites are not separated from their parent compounds, the quantification of the target analytes (parent compounds) would be influenced. Some metabolites were eluted closely to caffeic acid phenethyl ester on LC columns, although long columns and relatively long elution programs were used. The strategies can be utilized in quantitative methodologies that apply LC‐MS/MS to assure the performance of selectivity, thus enhancing the reliability of the experimental data.     

In silico methods for predicting metabolism and mass fragmentation applied to quetiapine in liquid chromatography/time‐of‐flight mass spectrometry urine drug screening

Current in silico tools were evaluated for their ability to predict metabolism and mass spectral fragmentation in the context of analytical toxicology practice. A metabolite prediction program (Lhasa Meteor), a metabolite detection program (Bruker MetaboliteDetect), and a fragmentation prediction program (ACD/MS Fragmenter) were used to assign phase I metabolites of the antipsychotic drug quetiapine in the liquid chromatography/time‐of‐flight mass spectrometry (LC/TOFMS) accurate mass data from ten autopsy urine samples. In the literature, the main metabolic routes of quetiapine have been reported to be sulfoxidation, oxidation to the corresponding carboxylic acid, N‐ and O‐dealkylation and hydroxylation. Of the 14 metabolites predicted by Meteor, eight were detected by LC/TOFMS in the urine samples with use of MetaboliteDetect software and manual inspection. An additional five hydroxy derivatives were detected, but not predicted by Meteor. The fragment structures provided by ACD/MS Fragmenter software confirmed the identification of the metabolites. Mean mass accuracy and isotopic pattern match (SigmaFit) values for the fragments were 2.40 ppm (0.62 mDa) and 0.010, respectively. ACD/MS Fragmenter, in particular, allowed metabolites with identical molecular formulae to be differentiated without a need to access the respective reference standards or reference spectra. This was well exemplified with the hydroxy/sulfoxy metabolites of quetiapine and their N‐ and O‐dealkylated forms. The procedure resulted in assigning 13 quetiapine metabolites in urine. The present approach is instrumental in developing an extensive database containing exact monoisotopic masses and verified retention times of drugs and their urinary metabolites for LC/TOFMS drug screening. Copyright © 2009 John Wiley & Sons, Ltd.     

Qualitative metabolism assessment and toxicological detection of xylazine, a veterinary tranquilizer and drug of abuse, in rat and human urine using GC–MS, LC–MS n , and LC–HR-MS n

Xylazine is used in veterinary medicine for sedation, anesthesia, and analgesia. It has also been reported to be misused as a horse doping agent, a drug of abuse, a drug for attempted sexual assault, and as source of accidental or intended poisonings. So far, no data concerning human metabolism have been described. Such data are necessary for the development of toxicological detection methods for monitoring drug abuse, as in most cases the metabolites are the analytical targets. Therefore, the metabolism of xylazine was investigated in rat and human urine after several sample workup procedures. The metabolites were identified using gas chromatography (GC)–mass spectrometry (MS) and liquid chromatography (LC) coupled with linear ion trap high-resolution multistage MS (MS ⁿ ). Xylazine was N-dealkylated and S-dealkylated, oxidized, and/or hydroxylated to 12 phase I metabolites. The phenolic metabolites were partly excreted as glucuronides or sulfates. All phase I and phase II metabolites identified in rat urine were also detected in human urine. In rat urine after a low dose as well as in human urine after an overdose, mainly the hydroxy metabolites were detected using the authors’ standard urine screening approaches by GC–MS and LC–MS ⁿ . Thus, it should be possible to monitor application of xylazine assuming similar toxicokinetics in humans.

In silico and in vitro metabolism studies support identification of designer drugs in human urine by liquid chromatography/quadrupole-time-of-flight mass spectrometry

Human phase I metabolism of four designer drugs, 2-desoxypipradrol (2-DPMP), 3,4-dimethylmethcathinone (3,4-DMMC), α-pyrrolidinovalerophenone (α-PVP), and methiopropamine (MPA), was studied using in silico and in vitro metabolite prediction. The metabolites were identified in drug abusers’ urine samples using liquid chromatography/quadrupole-time-of-flight mass spectrometry (LC/Q-TOF/MS). The aim of the study was to evaluate the ability of the in silico and in vitro methods to generate the main urinary metabolites found in vivo. Meteor 14.0.0 software (Lhasa Limited) was used for in silico metabolite prediction, and in vitro metabolites were produced in human liver microsomes (HLMs). 2-DPMP was metabolized by hydroxylation, dehydrogenation, and oxidation, resulting in six phase I metabolites. Six metabolites were identified for 3,4-DMMC formed via N-demethylation, reduction, hydroxylation, and oxidation reactions. α-PVP was found to undergo reduction, hydroxylation, dehydrogenation, and oxidation reactions, as well as degradation of the pyrrolidine ring, and seven phase I metabolites were identified. For MPA, the nor-MPA metabolite was detected. Meteor software predicted the main human urinary phase I metabolites of 3,4-DMMC, α-PVP, and MPA and two of the four main metabolites of 2-DPMP. It assisted in the identification of the previously unreported metabolic reactions for α-PVP. Eight of the 12 most abundant in vivo phase I metabolites were detected in the in vitro HLM experiments. In vitro tests serve as material for exploitation of in silico data when an authentic urine sample is not available. In silico and in vitro designer drug metabolism studies with LC/Q-TOF/MS produced sufficient metabolic information to support identification of the parent compound in vivo.

SPE–LC Multi-Residue Analysis of Mebendazole and its Metabolites in Grass Carp and Shrimp

An analytical method was developed to detect the residue of mebendazole and its metabolites (hydroxymebendazole and aminomebendazole) in the muscle of grass carp and shrimp by LC–UV detection. Mebendazole and its metabolites were extracted with water and ethyl acetate, defatted with hexane, and purified with MCX solid phase extraction column. The intra- and inter-batch precision (measured by CV%) was <9.0%. The accuracy (measured by relative error, %) was <12%. The LODs were 2.5 μg kg^?1 for mebendazole and hydroxymebendazole, 5 μg kg^?1 for aminomebendazole; the LOQs were 5 μg kg^?1 for mebendazole and hydroxymebendazole, 10 μg kg^?1 for aminomebendazole. The mean recoveries of mebendazole and its metabolites from grass carp and shrimp muscle at a concentration range of 5.0–500.0 μg kg^?1 were 90.7–97.0% with relative standard deviations below 10%.     

Qualitative studies on the metabolism and the toxicological detection of the fentanyl-derived designer drugs 3-methylfentanyl and isofentanyl in rats using liquid chromatography–linear ion trap–mass spectrometry (LC-MS<Superscript>n</Superscript>)

The opioid 3-methylfentanyl, a designer drug of the fentanyl type, was scheduled by the Controlled Substance Act due to its high potency and abuse potential. To overcome this regulation, isofentanyl, another designer fentanyl, was synthesized in a clandestine laboratory and seized by the German police. The aims of the presented study were to identify the phase I and phase II metabolites of 3-methylfentanyl and isofentanyl in rat urine, to identify the cytochrome P450 (CYP) isoenzymes involved in their initial metabolic steps, and, finally, to test their detectability in urine. Using liquid chromatography (LC)–linear ion trap–mass spectrometry (MSⁿ), nine phase I and five phase II metabolites of 3-methylfentanyl and 11 phase I and four phase II metabolites of isofentanyl could be identified. The following metabolic steps could be postulated for both drugs: N-dealkylation followed by hydroxylation of the alkyl and aryl moiety, hydroxylation of the propanamide side chain followed by oxidation to the corresponding carboxylic acid, and, finally, hydroxylation of the benzyl moiety followed by methylation. In addition, N-oxidation of isofentanyl could also be observed. All hydroxy metabolites were partly excreted as glucuronides. Using recombinant human isoenzymes, CYP2C19, CYP2D6, CYP3A4, and CYP3A5 were found to be involved in the initial metabolic steps. Our LC-MSⁿ screening approach allowed the detection of 0.01 mg/L of 3-methylfentanyl and isofentanyl in spiked urine. However, in urine of rats after the administration of suspected recreational doses, the parent drugs could not be detected, but their common nor metabolite, which should therefore be the target for urine screening.     

Identification of new minor metabolites of penicillin G in human serum by multiple-stage tandem mass spectrometry

Liquid chromatography/mass spectrometry (LC/MS) and liquid chromatography/tandem mass spectrometry (LC/MS/MS) were applied to characterize drug metabolites. Although these two methods have overcome the identification and structural characterization of metabolites analysis, they remain time‐consuming processes. In this study, a novel multiple‐stage tandem mass spectrometric method (MSⁿ) was evaluated for identification and characterization of new minor metabolism profiling of penicillin G, one of the β‐lactam antibiotics, in human serum. Seven minor metabolites including five phase I metabolites and two phase II metabolites of penicillin G were identified by using data‐dependent LC/MSⁿ screening in one chromatographic run. The accuracy masses of seven identified metabolites of penicillin G were also confirmed by mass spectral calibration software (MassWorks?). The proposed data‐dependent LC/MSⁿ method is a powerful tool to provide large amounts of the necessary structural information to characterize minor metabolite in metabolism profiling. Copyright © 2010 John Wiley & Sons, Ltd.