Pooled Human Liver Microsomes Research Articles

In vitro metabolic studies and machine learning analysis of mass spectrometry data: A dual strategy for differentiating alpha-pyrrolidinohexiophenone (α-PHP) and alpha-pyrrolidinoisohexanophenone (α-PiHP) in urine analysis

Synthetic cathinones are some of the most prevalent new psychoactive substances (NPSs) globally, with alpha-pyrrolidinoisohexanophenone (α-PiHP) being particularly noted for its widespread use in the United States, Europe, and Taiwan. However, the analysis of isomeric NPSs such as α-PiHP and alpha-pyrrolidinohexiophenone (α-PHP) is challenging owing to similarities in their retention times and mass spectra. This study proposes a dual strategy based on in vitro metabolic experiments and machine learning-based classification modelling for differentiating α-PHP and α-PiHP in urine samples: (1) in vitro metabolic experiments using pooled human liver microsomes and liquid chromatography tandem quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) were conducted to identify the key metabolites of α-PHP and α-PiHP from the high-resolution MS/MS spectra. After 5 h incubation, 71.4 % of α-PHP and 64.7 % of α-PiHP remained unmetabolised. Nine phase I metabolites were identified for each compound, including primary β-ketone reduction (M1) metabolites. Comparing the metabolites and retention times confirmed the efficacy of in vitro metabolic experiments for differentiating NPS isomers. Subsequently, analysis of seven real urine samples revealed the presence for various metabolites, including M1, that could be used as suitable detection markers at low concentrations. The aliphatic hydroxylation (M2) metabolite peak counts and metabolite retention times were used to determine α-PiHP use. (2) Classification models for the parent compounds and M1 metabolites were developed using principal component analysis for feature extraction and logistic regression for classification. The training and test sets were devised from the spectra of standard samples or supernatants from in vitro metabolism experiments with different incubation times. Both models had classification accuracies of 100 % and accurately identified α-PiHP and its M1 metabolite in seven real urine samples. The proposed methodology effectively distinguished between such isomers and confirmed their presence at low concentrations. Overall, this study introduces a novel concept that addresses the complexities in analysing isomeric NPSs and suggests a path towards enhancing the accuracy and reliability of NPS detection.

Identification of phase-I and phase-II metabolites and the metabolic pathway of the novel synthetic cannabinoid 5F-EDMB-PICA in vitro.

5F-EDMB-PICA is a newly emerged synthetic cannabinoid which has been characterized in relevant literature in recent years. Although phase-I metabolites of 5F-EDMB-PICA have been partly reported, the phase-II metabolism of this synthetic cannabinoid has not been studied yet. In this study, we established a phase-I and phase-II metabolism model in vitro by using pooled human liver microsomes, NADPH regeneration system, and UGT incubation system, with 1mg/ml 5F-EDMB-PICA added and incubated at 37°C for 60min. The metabolites were analyzed by Q Exactive™ Hybrid Quadrupole-Orbitrap™ Mass Spectrometer, via which we discovered and identified 14 phase-I metabolites and 4 phase-II metabolites of 5F-EDMB-PICA, involving pathways such as ester hydrolysis, dehydrogenation, hydrolytic defluorination, hydroxylation, dihydroxylation, glucuronidation, and combinations of the pathways mentioned above. We recommend considering the monohydroxylation metabolites (M9, M10) with higher content and intact ester and 5-fluoropentyl structures as potential biomarkers of 5F-EDMB-PICA.

In Vivo and In Vitro Metabolic Fate and Urinary Detectability of Five Deschloroketamine Derivatives Studied by Means of Hyphenated Mass Spectrometry.

Ketamine derivatives such as deschloroketamine and deschloro-N-ethyl-ketamine show dissociative and psychoactive properties and their abuse as new psychoactive substances (NPSs) has been reported. Though some information is available on the biotransformation of dissociative NPSs, data on deschloro-N-cyclopropyl-ketamine deschloro-N-isopropyl-ketamine and deschloro-N-propyl-ketamine concerning their biotransformation and, thus, urinary detectability are not available. The aims of the presented work were to study the in vivo phase I and II metabolism; in vitro phase I metabolism, using pooled human liver microsomes (pHLMs); and detectability, within a standard urine screening approach (SUSA), of five deschloroketamine derivatives. Metabolism studies were conducted by collecting urine samples from male Wistar rats over a period of 24 h after their administration at 2 mg/kg body weight. The samples were analyzed using liquid chromatography high-resolution tandem mass spectrometry (LC-HRMS/MS) and gas chromatography-mass spectrometry (GC-MS). The compounds were mainly metabolized by N-dealkylation, hydroxylation, multiple oxidations, and combinations of these metabolic reactions, as well as glucuronidation and N-acetylation. In total, 29 phase I and 10 phase II metabolites were detected. For the LC-HRMS/MS SUSA, compound-specific metabolites were identified, and suitable screening targets could be recommended and confirmed in pHLMs for all derivatives except for deschloro-N-cyclopropyl-ketamine. Using the GC-MS-based SUSA approach, only non-specific acetylated N-dealkylation metabolites could be detected.

Comparison of reversed-phase, hydrophilic interaction, and porous graphitic carbon chromatography columns for an untargeted toxicometabolomics study in pooled human liver microsomes, rat urine, and rat plasma

IntroductionUntargeted metabolomics studies are expected to cover a wide range of compound classes with high chemical diversity and complexity. Thus, optimizing (pre-)analytical parameters such as the analytical liquid chromatography (LC) column is crucial and the selection of the column depends primarily on the study purpose.ObjectivesThe current investigation aimed to compare six different analytical columns. First, by comparing the chromatographic resolution of selected compounds. Second, on the outcome of an untargeted toxicometabolomics study using pooled human liver microsomes (pHLM), rat plasma, and rat urine as matrices.MethodsSeparation and analysis were performed using three different reversed-phase (Phenyl-Hexyl, BEH C18, and Gold C18), two hydrophilic interaction chromatography (HILIC) (ammonium-sulfonic acid and sulfobetaine), and one porous graphitic carbon (PGC) columns coupled to high-resolution mass spectrometry (HRMS). Their impact was evaluated based on the column performance and the size of feature count, amongst others.ResultsAll three reversed-phase columns showed a similar performance, whereas the PGC column was superior to both HILIC columns at least for polar compounds. Comparing the size of feature count across all datasets, most features were detected using the Phenyl-Hexyl or sulfobetaine column. Considering the matrices, most significant features were detected in urine and pHLM after using the sulfobetaine and in plasma after using the ammonium-sulfonic acid column.ConclusionThe results underline that the outcome of this untargeted toxicometabolomic study LC-HRMS metabolomic study was highly influenced by the analytical column, with the Phenyl-Hexyl or sulfobetaine column being the most suitable. However, column selection may also depend on the investigated compounds as well as on the investigated matrix.Graphical abstract

Enzymatic defluorination of a terminally monofluorinated pentyl moiety: oxidative or hydrolytic mechanism?

Fluorination of organic compounds plays an important role in the chemical and pharmaceutical industry and is often applied in order to improve physicochemical parameters or modify pharmacological properties. While oxidative and reductive defluorination have been shown to be responsible for the metabolic degradation of organofluorine compounds, the involvement of hydrolytic mechanisms catalyzed by human enzymes has not been reported so far. Here, we investigated the enzymatic defluorination of terminally monofluorinated aliphates with [1-(5-fluoropentyl)-1H-indol-3-yl]-1-naphthalenyl-methanone (AM-2201) as a model substance. We performed in vitro biotransformation using pooled human liver microsomes (pHLM) and human recombinant cytochrome P450 (CYP) assays. In order to elucidate the underlying mechanisms, modified incubation conditions were applied including the use of deuterium labeled AM-2201 (d2 -AM-2201). Identification of the main metabolites and analysis of their isotopic composition was performed by liquid-chromatography coupled to time-of-flight-mass-spectrometry (LC-QToF-MS). Quantification of the metabolites was achieved with a validated method based on liquid-chromatography-tandem-mass-spectrometry (LC-MS/MS). CYP 1A2 mediated defluorination of d2 -AM-2201 revealed an isotopic pattern of the defluorinated 5-hydroxypentyl metabolite (5-HPM) indicating a redox mechanism with an aldehyde as a plausible intermediate. In contrast, formation of 5-HPM by pHLM was observed independently of the presence of atmospheric oxygen or co-factors regenerating the redox system. pHLM incubation of d2 -AM-2201 confirmed the hypothesis of a non-oxidative mechanism involved in the defluorination of the 5-fluoropentyl moiety. So far, enzymatically catalyzed, hydrolytic defluorination was only described in bacteria and other prokaryotes. The presented data prove the involvement of a hydrolytic mechanism catalyzed by human microsomal enzymes other than CYP. Significance Statement Elucidating the mechanisms involved in the enzymatic detoxification of organofluorine compounds is crucial for enhancing our understanding and facilitating the design and development of drugs with improved pharmacokinetic profiles. The carbon-fluorine bond possesses a high binding energy, which suggests that non-activated fluoroalkanes would not undergo hydrolytic cleavage. However, our study provides evidence for the involvement of a non-oxidative mechanism catalyzed by human liver enzymes. It is important to consider CYP-independent, hydrolytic defluorination, when investigating the pharmacokinetic properties of fluorinated xenobiotics.

Projections of Drug-Drug Interactions Caused by Time-Dependent Inhibitors of Cytochrome P450 1A2, 2B6, 2C8, 2C9, 2C19, and 2D6 Using In Vitro Data in Static and Dynamic Models.

In vitro time-dependent inhibition (TDI) kinetic parameters for cytochrome P450 (CYP) 1A2, 2B6, 2C8, 2C9, 2C19, and 2D6, were determined in pooled human liver microsomes for 19 drugs (and 2 metabolites) for which clinical drug-drug interactions (DDI) are known. In vitro TDI data were incorporated into the projection of the magnitude of DDIs using mechanistic static models and Simcyp®. Results suggest that for the mechanistic static model, use of estimated average unbound exit concentration of the inhibitor from the liver resulted in a successful prediction of observed magnitude of clinical DDIs and was similar to Simcyp®. Overall, predictions of DDI magnitude (i.e., fold increase in AUC of a CYP-specific marker substrate) were within 2-fold of actual values. Geometric mean-fold errors were 1.7 and 1.6 for static and dynamic models, respectively. Projections of DDI from both models were also highly correlated to each other (r2 = 0.92). This investigation demonstrates that DDI can be reliably predicted from in vitro TDI data generated in HLM for several CYP enzymes. Simple mechanistic static model equations as well as more complex dynamic PBPK models can be employed in this process. Significance Statement Cytochrome P450 time-dependent inhibitors (TDI) can cause drug-drug interactions (DDI). An ability to reliably assess the potential for a new drug candidate to cause DDI is essential during drug development. In this report, TDI data for 19 drugs (and 2 metabolites) were measured and used in static and dynamic models to reliably project the magnitude of DDI resulting from inhibition of CYP1A2, 2B6, 2C8, 2C9, 2C19, and 2D6.

Physcion inhibition of CYP2C9, 2D6 and 3A4 in human liver microsomes

Context The effect of the active ingredients in traditional Chinese medicines on the activity of cytochrome P450 enzymes (CYP450s) is a critical factor that should be considered in TCM prescriptions. Physcion, the major active ingredient of Rheum spp. (Polygonaceae), possesses wide pharmacological activities. Objectives The effect of physcion on CYP450 activity was investigated to provide a theoretical basis for use. Materials and methods The experiments were conducted in pooled human liver microsomes (HLMs). The activity of CYP450 isoforms was evaluated with corresponding substrates and probe reactions. Blank HLMs were set as negative controls, and typical inhibitors were employed as positive controls. The inhibition model was fitted with Lineweaver Burk plots. The concentration (0, 2.5, 5, 10, 25, 50 and 100 μM physcion) and time-dependent (0, 5, 10, 15 and 30 min) effects of physcion were also assessed. Results Physcion suppressed CYP2C9, 2D6 and 3A4 in a concentration-dependent manner with IC50 values of 7.44, 17.84 and 13.50 μM, respectively. The inhibition of CYP2C9 and 2D6 was competitive with the Ki values of 3.69 and 8.66 μM, respectively. The inhibition of CYP3A4 was non-competitive with a Ki value of 6.70 μM. Additionally, only the inhibition of CYP3A4 was time-dependent with the KI and Kinact parameters of 3.10 μM−1 and 0.049 min−1, respectively. Conclusions The inhibition of CYP450s by physcion should be considered in its clinical prescription, and the study design can be employed to evaluate the interaction of CYP450s with other herbs.

In vitro, invivo metabolism and quantification of the novel synthetic opioid N-piperidinyl etonitazene (etonitazepipne).

N-piperidinyl etonitazene (etonitazepipne) is a newly synthesized opioid related to the 2-benzylbenzimidazole analog class. Etonitazepipne has been formally notified and placed under intensive monitoring in Europe in January 2022. Nitazenes have high affinity at µ-opioid receptor (MOR). Etonitazepipne, specifically shows a EC50 of 2.49 nM, suggesting about 50 times higher potency combined with higher efficacy compared to morphine. Antinociceptive potency l ('hot plate test' with rats) was 192-fold greater than that of morphine. Here we report on a post-mortem case involving etonitazepipne and its quantification using a standard addition method (SAM) through liquid chromatography tandem mass spectrometry (LC-MS/MS). In addition, characterization and identification of phase I human metabolites using invitro assay based on pooled human liver microsomes (pHLM) was performed along with the analysis of authentic urine samples by means of high-performance liquid chromatography high-resolution tandem mass spectrometry (LC-HRMS/MS). The concentration of etonitazepipne in post-mortem blood and urine was 8.3 and 11 ng/mL, respectively. SAM was validated by assessing the following parameters: intraday and interday repeatability, matrix effect and recovery rate in post-mortem blood. A total of 20 and 14 metabolites were identified after pHLM incubation and urine analysis, respectively. Most pronounced invitro and invivo transformations were O-deethylation, hydroxylation, ketone reduction, and combinations thereof. Considering small traces of the parent drug often found in real cases, the identification of metabolic biomarkers is crucial to identify exposure to this drug. O-deethylated, oxidated metabolites, and combination thereof are proposed as urinary biomarkers along with the parent compound.

Effect of tubeimoside I on the activity of cytochrome P450 enzymes in human liver microsomes

This study assessed the effect of tubeimoside I on CYP1A2, 2A6, 2C8, 2C9, 2C19, 2D6, 2E1, and 3A4 to reveal the potential of tubeimoside I to induce drug-drug interaction. The evaluation of cytochromes P450 enzyme (CYP) activity was performed in pooled human liver microsomes with probing substrates of CYP1A2, 2A6, 2C8, 2C9, 2C19, 2D6, 2E1, and 3A4. Typical inhibitors were employed as positive controls and the effect of 0, 2.5, 5, 10, 25, 50, and 100 μM tubeimoside I was investigated. The activity of CYP2D6, 2E1, and 3A4 was significantly inhibited by tubeimoside I with the IC50 values of 10.34, 11.58, and 9.74 μM, respectively. The inhibition of CYP2D6 and 2E1 was competitive with the Ki value of 5.66 and 5.29 μM, respectively. While the inhibition of CYP3A4 was non-competitive with the Ki value of 4.87 μM. Moreover, the inhibition of CYP3A4 was time-dependent with the KI and K inact values of 0.635 μM−1 and 0.0373 min−1, respectively. Tubeimoside I served as a competitive inhibitor of CYP2D6 and 2E1 exerting weak inhibition and a non-competitive inhibitor of CYP3A4 exerting moderate inhibition.

Human metabolism and basic pharmacokinetic evaluation of AP-238: A recently emerged acylpiperazine opioid.

As a consequence of recently implemented legal restrictions on fentanyl analogs, a new generation of acylpiperazine opioids appeared on the illicit drug market. AP-238 was the latest opioid in this series to be notified by the European Early Warning System in 2020 and was involved in an increasing number of acute intoxications. AP-238 metabolism was investigated to provide useful markers of consumption. For the tentative identification of the main phase I metabolites, a pooled human liver microsome assay was performed. Further, four whole blood and two urine samples collected during post-mortem examinations and samples from a controlled oral self-administration study were screened for anticipated metabolites. In total, 12 AP-238 phase I metabolites were identified through liquid chromatography-quadrupole time-of-flight mass spectrometry in the in vitro assay. All of these were confirmed in vivo, and additionally, 15 phase I and five phase II metabolites were detected in the human urine samples, adding up to a total of 32 metabolites. Most of these metabolites were also detected in the blood samples, although mostly with lower abundances. The main in vivo metabolites were built by hydroxylation combined with further metabolic reactions such as O-methylation or N-deacylation. The controlled oral self-administration allowed us to confirm the usefulness of these metabolites as proof of intake in abstinence control. The detection of metabolites is often crucial to documenting consumption, especially when small traces of the parent drug can be found in real samples. The in vitro assay proved to be suitable for the prediction of valid biomarkers of novel synthetic opioid intake.

Characterization of Extensive 2-Fluorodeschloroketamine (2F-DCK) Metabolism in Pooled Human Liver Microsomes (pHLM), Urine, and Hair from an Addicted Patient Using High-Resolution Accurate Mass (HRAM) Spectrometry.

2-Fluoro-deschloroketamine (2F-DCK) is a ketamine derivative involved in acute intoxications and deaths. The aim of this study is to investigate its metabolism using pHLM, and to apply it to authentic samples (urine, hair, seized materials) from a drug user. 2F-DCK (100 µM) incubates with pHLM were analyzed by LC-HRAM (Q-Exactive, Thermo Fisher Scientific®) according to a previously published protocol. Spectra annotation was performed using Compound Discoverer® software and the metabolic scheme was drawn using Chemdraw software. Urine (200 µL) and hair (previously decontaminated using dichloromethane and segmented into 3 segments: A 0-3 cm, B 3-6cm, C 6-9cm) were extracted with a mixture of hexane/ethyl acetate (1:1) and chloroform/isopropanol (4:1). 10 µL of both reconstituted residues were analyzed by LC-HRAM. Hair was also analyzed by LC-MS-MS (TSQ Vantage, Thermo Fisher Scientific®) for 2F-DCK and DCK quantification. The two presumed 2F-DCK crystals consumed by the patient were dissolved in methanol (1 mg/mL) and 10 µL were analyzed by LC-MS-MS (Quantum Access Max, Thermo Fisher Scientific®). Twenty-six putative 2F-DCK metabolites were identified, 15 being reported for the first time. Thirteen metabolites were detected in pHLM, 10 confirmed in both the patient's urine and hair, and all found in at least one of the 2 samples. 23 metabolites were detected in urine, and 20 in hair. Our research confirms the reliability of nor-2F-DCK as a target analyte and suggest OH- dihydro-nor-2F-DCK and dehydro-nor-2F-DCK as new target analytes in urine and hair, respectively. This is the first study to report deschloroketamine as a 2F-DCK metabolite using pHLM and to determine its concentrations in hair (A/B/C, 885/1500/1850 pg/mg) following chronic use. Finally, the two seized crystals contained 2F-DCK at 67% and 96% with traces of deschloroketamine (0.4% and 0.6%) related to cross-contamination by container exchange.

Study of the Metabolic Profiles of "Indazole-3-Carboxamide" and "Isatin Acyl Hydrazone" (OXIZID) Synthetic Cannabinoids in a Human Liver Microsome Model Using UHPLC-QE Orbitrap MS.

Unregulated core structures, "isatin acyl hydrazones" (OXIZIDs), have quietly appeared on the market since China legislated to ban seven general core scaffolds of synthetic cannabinoids (SCs). The fast evolution of SCs presents clinical and forensic toxicologists with challenges. Due to extensive metabolism, the parent compounds are barely detectable in urine. Therefore, studies on the metabolism of SCs are essential to facilitate their detection in biological matrices. The aim of the present study was to elucidate the metabolism of two cores, "indazole-3-carboxamide" (e.g., ADB-BUTINACA) and "isatin acyl hydrazone" (e.g., BZO-HEXOXIZID). The in vitro phase I and phase II metabolism of these six SCs was investigated by incubating 10 mg/mL pooled human liver microsomes with co-substrates for 3 h at 37 °C, and then analyzing the reaction mixture using ultrahigh-performance liquid chromatography-quadrupole/electrostatic field orbitrap mass spectrometry. In total, 9 to 34 metabolites were detected for each SC, and the major biotransformations were hydroxylation, dihydrodiol formation (MDMB-4en-PINACA and BZO-4en-POXIZID), oxidative defluorination (5-fluoro BZO-POXIZID), hydrogenation, hydrolysis, dehydrogenation, oxidate transformation to ketone and carboxylate, N-dealkylation, and glucuronidation. Comparing our results with previous studies, the parent drugs and SC metabolites formed via hydrogenation, carboxylation, ketone formation, and oxidative defluorination were identified as suitable biomarkers.

Qualification of Human Liver Microsomes for Antibacterial Activity Screening of Drug Metabolites

Microsomes are commonly used to perform in vitro drug metabolism, predominantly to form phase I drug metabolites. Pooled microsomes from multiple donors can contain microorganisms from underlying microbial diseases. Exposure to microbes can also occur during extraction if aseptic processing is compromised. Although microbial presence does not affect the metabolic activity of microsomes, presence of unwanted microorganisms can cause interference if the downstream application of microsomal drug metabolites is screening for antibacterial activity. In this work, traditional biochemical tests and advanced proteomics-based identification techniques were used to identify two gram-negative bacteria in pooled human liver microsomes. Several decontamination procedures were assessed to eradicate these two bacteria from the microsomes without affecting its metabolic capacity, and organic extraction was found to be the most convenient and efficient approach to decontaminate microsomes and screen drug metabolites for antibacterial activity against methicillin-resistant Staphylococcus aureus (MRSA).

Cytochrome P450 metabolism studies of [6]-gingerol, [8]-gingerol, and [10]-gingerol by liver microsomes of humans and different species combined with expressed CYP enzymes.

Gingerols, mainly [6]-gingerol (6G), [8]-gingerol (8G), and [10]-gingerol (10G), are the functional and specific pungent phytochemicals in ginger. However, poor oral bioavailability limits their applications owing to extensive metabolism. The present study aims to characterize the cytochrome P450 (CYP) metabolic characteristics of 6G, 8G, and 10G by using pooled human liver microsomes (HLM), different animal liver microsomes, and the expressed CYP enzymes. It is shown that NADPH-dependent oxidation and hydrogenation metabolisms of gingerols are the main metabolic types in HLM. With the increase of the carbon chain, the polarity of gingerols decreases and the formation of hydrogenated metabolites is more efficient (CLint: 1.41 μL min-1 mg-1 for 6G, 7.79 μL min-1 mg-1 for 8G and 14.11 μL min-1 mg-1 for 10G), indicating that the phase I metabolism of gingerols by HLM varied with the chemical structure of the substrate. The phase I metabolism of gingerols revealed considerable species variations, and compared to HLM, novel metabolites such as (3S,5S)-gingerdiols and demethylated metabolites are generated in some animal liver microsomes. The primary enzymes involved in the oxidized and demethylated metabolism of these gingerols are CYP1A2 and CYP2C19, but their affinities for gingerols are not the same. CYP2D6 and CYP2B6 contributed significantly to the formation of (3R,5S)-[8]-gingerdiol and (3R,5S)-[10]-gingerdiol, respectively; however, the enzyme responsible for the production of (3R,5S)-[6]-gingerediol is yet to be identified. Some metabolites in microsomes cannot be detected by the 12 investigated CYP enzymes, which may be related to the combined effects of multiple enzymes in microsomes, the different affinity of mixed liver microsomes and CYP enzymes, gene polymorphisms, etc. Overall, this work provides a deeper knowledge of the influence of CYP metabolism on the gingerols, as well as the mode of action and the possibility for drug-herbal interactions.

Metabolic profiling of clonazolam in human liver microsomes and zebrafish models using liquid chromatography quadrupole Orbitrap mass spectrometry

Clonazolam is a designer benzodiazepine with strong sedative and amnesic effects. As we all know, the detection of metabolites is the key to confirming the use of substances in the field of forensic toxicology. In order to better describe clonazolam metabolism completely, we performed the two different experiments exploiting the unique characteristics of the models used. In this study, in vivo and in vitro samples were analyzed with liquid chromatography-quadrupole/electrostatic field orbitrap mass spectrometry. The results showed that seven Phase I metabolites and one Phase II metabolite were detected in zebrafish model. The remaining Phase I and II metabolites were also found in the incubation solution of pooled human liver microsomes. The main types of metabolic reactions of clonazolam included hydroxylation, dealkylation, nitroreduction, dechlorination, N-Acetylation, and O-glucuronidation. In this paper, the main metabolites and metabolic pathways of clonazolam are clarified in detail in order to further improve the metabolic rule of clonazolam. Based on these results, to better detect and judge the abuse of clonazolam, we suggest that M1, its nitro reduction product, is used as its biomarker. The results of this study provide a theoretical basis for the pharmacokinetics and forensic medicine of clonazolam.

The pharmaceutical potential of AR‐65, a novel Alzheimer’s disease drug targeting the immunoproteasome

AbstractBackgroundPreviously, we reported that inhibition of the immunoproteasome (iP), which is upregulated in reactive glial cells near amyloid‐β (Aβ) deposits in the brains of patients with Alzheimer’s disease (AD), leads to improved cognitive function in an AD mouse model of Aβ amyloidosis (Tg2576) via suppression of microglia‐mediated inflammation, independent of Aβ accumulation.MethodHere, we investigated the pharmaceutical properties of our lead iP inhibitor (AR‐65), a macrocyclic peptide epoxyketone, selected based on in vitro and cellulo iP inhibitory activities and cell‐based anti‐inflammatory efficacy. Specifically, the metabolic stability of AR‐65 was assessed using pooled human liver microsomes. In addition, the flux rate of AR‐65 was measured to evaluate the permeability across Caco‐2 monolayers over‐expressing ABCB1 and ABCG2, two major efflux drug transporters present in the human brain.ResultThe macrocyclic AR‐65 displayed improved metabolic stability (6‐fold increased half‐life), permeability, and solubility (in an injectable pharmaceutical buffer system with no cyclodextrin) compared to the FDA‐approved linear peptide epoxyketone proteasome inhibitor, carfilzomib (Kyprolis®). Finally, pilot PK studies performed using ICR mice confirmed that AR‐65 is metabolically more stable than carfilzomib and can cross the blood‐brain barrier to inhibit the brain iP.ConclusionTaken together, the results suggest that AR‐65 may hold great potential to be further investigated in clinical settings.

Human phase-I metabolism and prevalence of two synthetic cannabinoids bearing an ethyl ester moiety: 5F-EDMB-PICA and EDMB-PINACA.

Around 2017, with the appearance of 5F-EDMB-PINACA, synthetic cannabinoids (SCs) carrying an ethyl ester moiety at the linked group started spreading on the market of new psychoactive substances (NPS). In 2020 and 2021, the indole analog of 5F-EDMB-PINACA (5F-EDMB-PICA) and the non-fluorinated analog of this compound (EDMB-PINACA) were analytically characterized. Here, we present suitable urinary markers to prove the consumption of these two ethyl analogs. Ten authentic urine samples for each compound were analyzed by liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-qToF-MS). Anticipated phase-I metabolites detected in urine samples were confirmed in vitro by applying a pooled human liver microsomes (pHLM) assay. Prevalence data were obtained from urines collected for abstinence control and submitted to a screening method for SC metabolites. Ten phase-I metabolites of 5F-EDMB-PICA and 18 of EDMB-PINACA were detected by LC-qToF-MS analysis of authentic urine specimens. The main in-vivo metabolites were built by ester hydrolysis, often coupled to further metabolic processes. Investigation of phase-I biotransformation led to the identification of ester hydrolysis, monohydroxylation, and defluorination products as the most suitable urinary biomarkers for 5F-EDMB-PICA. Metabolites formed by ester hydrolysis coupled to ketone formation and by monohydroxylation are suggested for the detection of EDMB-PINACA. From October 1, 2020 to February 1, 2022, among positive urine samples, 5.4% and 10.1% tested positive 5F-EDMB-PICA and EDMB-PINACA, respectively. Due to common metabolites shared among structurally related SCs, the unequivocal detection of their consumption remains challenging for forensic laboratories and requires sensitive methods to monitor multiple metabolites, ideally including highly specific species.

Unravelling the pharmacokinetics of aflatoxin B1: In vitro determination of Michaelis-Menten constants, intrinsic clearance and the metabolic contribution of CYP1A2 and CYP3A4 in pooled human liver microsomes.

Mycotoxins, fungal secondary metabolites, are ubiquitously present in food commodities. Acute exposure to high levels or chronic exposure to low levels has an impact on the human body. The phase I metabolism in the human liver, performed by cytochrome P450 (CYP450) enzymes, is accountable for more than 80% of the overall metabolism of exogenous and endogenous compounds. Mycotoxins are (partially) metabolized by CYP450 enzymes. In this study, in vitro research was performed on CYP450 probes and aflatoxin B1 (AFB1), a carcinogenic mycotoxin, to obtain pharmacokinetic data on AFB1, required for further experimental work. The CYP450 probes of choice were a CYP3A4 substrate, midazolam (MDZ) and a CYP1A2 substrate, phenacetin (PH) since these are the main metabolizing phase I enzymes of AFB1. Linearity experiments were performed on the three substrates indicating that linear conditions were achieved at a microsomal protein concentration and incubation time of 0.25 mg/ml and 5 min, 0.50 mg/ml and 20 min and 0.25 mg/ml and 5 min for MDZ, PH and AFB1, respectively. The Km was determined in human liver microsomes and was estimated at 2.15 μM for MDZ, 40.0 μM for PH and 40.9 μM for AFB1. The associated Vmax values were 956 pmol/(mg.min) (MDZ), 856 pmol/(mg.min) (PH) and 11,536 pmol/(mg.min) (AFB1). Recombinant CYP systems were used to determine CYP450-specific Michaelis–Menten values for AFB1, leading to a CYP3A4 Km of 49.6 μM and an intersystem extrapolation factor (ISEF) corrected Vmax of 43.6 pmol/min/pmol P450 and a CYP1A2 Km of 58.2 μM and an ISEF corrected Vmax of 283 pmol/min/pmol P450. An activity adjustment factor (AAF) was calculated to account for differences between microsome batches and was used as a correction factor in the determination of the human in vivo hepatic clearance for MDZ, PH and AFB1. The hepatic blood clearance corrected for the AAF CLH,B,MDZ,AAF, CLH,B,PH,AAF CLH,B,AFB1,AAF(CYP3A4) and CLH,B,AFB1,AAF(CYP1A2) were determined in HLM at 44.1 L/h, 21.7 L/h, 40.0 L/h and 38.5 L/h. Finally, inhibition assays in HLM showed that 45% of the AFB1 metabolism was performed by CYP3A4/3A5 enzymes and 49% by CYP1A2 enzymes.

Human metabolism of AP-238. A novel synthetic opioid spreading in the shadow of “fentalogues”

The phenomenon of new psychoactive substances is constantly evolving, with novel synthetic opioids (NSO) representing a particular threat given their sometimes extremely high potencies and their potential to produce respiratory depression. As a consequence of recently implemented legal restrictions on fentanyl analogues, a new “legal” generation of opioids, embodied by the class of cinnamylpiperazines, popped up on the illicit drug market. AP-238 was the latest NSO of this series to be notified to the European Monitoring Centre for Drugs and Drug Addiction (EMCDDA) and is involved in an increasing number of acute intoxications. Adverse effects associated with the abuse of NSO, their continued evolution, increased popularity and high availability constitute a serious concern and pose an imminent hazard to public health. The identification of specific markers of consumption for these NSO is essential for clinical and forensic casework and represents a new challenge for toxicology laboratories. Referring to this, we investigated the in vivo and in vitro metabolism of AP-238. For tentative identification of the main phase-I metabolites, a pooled human liver microsomes (pHLM) assay was used. Incubation was performed for 2 hours at 37 °C in triplicates, including a blank control (no pHLM) and a zero control (no reference standard). Analyses were carried out using liquid chromatography coupled to time-of-flight mass spectrometry (LC-qToF-MS). Full scan and auto MS/MS data were acquired in one run. In a second run, full scan and broadband collision-induced dissociation (bbCID) data were acquired, checking for characteristic fragment ions (e.g., m/z 117.0699) to detect unexpected metabolites. To compare the relative abundance of the metabolites, a multiple reaction monitoring (MRM) method comprising at least two ion transitions of each metabolite, was applied using liquid chromatography coupled to tandem-mass spectrometry (LC-MS/MS). Chromatographic separation was achieved on a Kinetex® C18 column (100 × 2.1 mm, 2.6 μm). Both instruments were operated in positive ion mode. Anticipated phase-I metabolites detected in the pHLM assay were confirmed in three authentic blood samples collected during postmortem examinations and tested positive for AP-238 in the Institute of Forensic Medicine of Freiburg. In total, ten AP-238 phase-I metabolites were identified by means of LC–qToF–MS in the pHLM assay and confirmed five of these by corresponding signals in the human blood samples. They mainly consisted of products of hydroxylation, oxidation, dealkylation, and combinations of these reactions. A dealkylated/monohydroxylated metabolite was detected with the highest abundance in blood. Suggested biomarkers for AP-238 consumption are generated by monohydroxylation combined with dealkylation (most abundant) and by sole hydroxylation at the cinnamyl substituent, with the latter being highly specific. Although this investigation was carried out with blood samples due to the non-availability of urine, it is likely that these metabolites are suitable markers for urine screening as well. The combination of dealkylation with (multiple) hydroxylation(s) was also observed for further minor metabolites. The exact chemical structures of these metabolites remain unclear and would require isolation and structure elucidation e.g. by nuclear magnetic resonance spectroscopy or synthesis of reference material. However, this does not preclude their use as valid biomarkers. Implementing analytical methods for the detection of NPS metabolites is often crucial to document consumption in clinical and forensic toxicology. In vitro methods like the used pHLM assay proved to be suitable tools for prediction of biomarkers for NSO intake, although they have to be confirmed by authentic samples. If urine is not available, blood can be used for this purpose.

Metabolism of the synthetic cathinone alpha-pyrrolidinoisohexanophenone in humans using UHPLC-MS-QToF

Alpha-pyrrolidinoisohexanophenone (α-PHiP/α-PiHP) is a synthetic drug structurally related to cathine, a natural psychoactive alkaloid isolated from khat plant. α-PiHP is a structural isomer of α-PHP. α-PHP and α-PiHP may be considered as an analogue of α-PVP, a Schedule I drug under the Convention on Psychotropic Substances by the United Nations. This α-pyrrolidinophenone was first reported to EMCDDA by Slovenia in December 2016. In Hungary it appeared in August 2016 but before 2021 it had been detected in seizures only two times and it had never been identified in biological samples. However, in 2021 its consumption became prevalent in Hungary. α-PiHP was detected in one blood sample and twenty-one urine samples collected during the last two months of 2021 and submitted to our laboratory for forensic toxicological analysis. It means that about 5% of our cases were confirmed positive for α-PiHP during these months. Until February 2022 α-PiHP has been identified in one fatal intoxication case in Poland. This study aims to investigate and rank the in vivo urinary metabolites of α-PiHP. Urinary metabolites of α-PiHP have been investigated by analysing pooled human liver microsome (pHLM) and pooled S9 fraction (pS9) samples in vitro, blank urine samples as negative controls and in vivo urine samples from users ( n = 4) as positive controls using a Waters Xevo G2-XS UHPLC-MS-QToF. The analysis was performed in MSe mode and Unify software was applied to search for metabolites and localize the metabolic transformation according to the fragment ions of the spectra resulted from high energy collisions. Phase I and Phase II metabolites were investigated and ranked according to their relative abundance. In this metabolism study ten in vivo urinary metabolites of α-PiHP were tentatively identified. The identifications were confirmed by use of in vitro metabolites detected in pHLM and pS9 samples. Eight of them were Phase I metabolites and two of them were Phase II metabolites. According to the metabolite ranking study five metabolites were more abundant in urine than the parent compound. For α-PiHP, the two major metabolites via reduction of the keto moiety (M01) and via hydroxylation of the pyrrolidine ring combined with the oxidation of the isoalkyl chain (M06) were identified. The metabolites via the combination of keto reduction and oxidation of the isoalkyl chain (M04), via a ring-opening followed by a caboxylation (M09) and via the glucuronidation of the keto reduced metabolite (M07) were also dominant. The minor metabolites were one Phase II metabolite (M08), two metabolites via oxidation of the isoalkyl chain (M02, M03), one metabolite via the combination of keto reduction and hydroxylation of the pyrrolidine ring (M05) and one metabolite via oxidation of the pyrrolidine ring (M10). As a result of this present study for the urinary metabolites of α-PiHP, its proposed metabolic pathways in humans include reduction of the keto group, oxidation of the isoalkyl chain, oxidation of the pyrrolidine ring to the oxo moiety or ring opening followed by carboxylation, and the combination of these pathways. Finally, it should be pointed out that the detection of relevant metabolites in addition to the parent drug is important for indisputably proving ingestion of the drug. It is especially important in differentiating similar compounds having identical ESI+ fragmentation pattern and very similar retention time but being concerned by different legislation control. Besides, according to the present study the relative abundance for the major metabolites of α-PiHP is much higher than for the parent compound. To sum up, the relevant metabolites are key components in screening and confirmatory methods developed for sensitively and selectively detecting α-PiHP consumption.