The potential of Hypoxis hemerocallidea for herb–drug interaction

Abstract

Context: Aqueous decoction of Hypoxis hemerocallidea Fisch. & C.A. Mey. (Hypoxidaceae) (Hypoxis) is widely consumed in Southern Africa by people living with HIV/AIDS, some of whom are on ARV and other medications.

Objective: The aim of this study was to investigate the potential of the crude aqueous extracts of Hypoxis to inhibit major forms of CYP450 and transport proteins.

Materials and methods: Corms of Hypoxis were water-extracted and incubated (in graded concentrations: 1--100?µg/mL) with human liver microsomes (20?min) to monitor the effects on phenacetin O-deethylation, coumarin 7-hydroxylation, bupropion hydroxylation, paclitaxel 6α-hydroxylation, diclofenac 4′-hydroxylation, S-mephenytoin 4′-hydroxylation, bufuralol 1′-hydroxylation, chlorzoxazone 6-hydroxylation, midazolam 1′-hydroxylation and testosterone 6β-hydroxylation as markers for the metabolic activities of CYP1A2, 2A6, 2B6, 2C8, 2C9, 2C19, 2D6, 2E1 and 3A4/5, respectively. The generation of metabolites were monitored and quantified with the aid of LC-MS/MS. The potential of the extracts to inhibit human ATP-binding cassette transporter activity was assessed using recombinant MDCKII and LLC-PK1 cells over-expressing human breast cancer resistant protein and human P-glycoprotein , respectively (with Ko143 and cyclosporin A as positive controls). Similar assessment was performed with human organic anion transporting polypeptide (OATP1B1 and OATP1B3) using recombinant HEK293 cells over-expressing OATP1B1 and OATP1B3, respectively (with rifamycin and 10?µM atorvastatin as positive controls).

Results: Extracts of Hypoxis inhibited the production of the metabolites of the substrates of the following enzymes (as compared to controls) with the indicated IC₅₀ values (µg/mL): CYP1A2 (120.6), CYP2A6 (210.8), CYP2B6 (98.5), CYP2C8 (195.2), CYP2C9 (156) and CYP3A4/5 (185.4). The inhibition of the uptake activity of OATP1B1 and OATP1B3 were also observed with IC₅₀ values of 93.4 and 244.8?μg/mL, respectively.

Discussion: Extract concentrations higher than the estimated IC₅₀ values are achievable in the gastrointestinal tract when traditional doses of Hypoxis are considered. This may have profound effects on presystemic metabolism of the drug substrates. If absorbed, systemic inhibition of metabolic enzymes/transporters by Hypoxis may be expected.

Conclusion: The result suggests that there is the potential for HDI between Hypoxis and the substrates of the affected enzymes/transporters, if sufficient in vivo concentration of Hypoxis extracts is attained.     

In vitro assessment of the roles of drug transporters in the disposition and drug–drug interaction potential of olaparib

1.?In vitro assessments were conducted to examine interactions between olaparib (a potent oral inhibitor of poly[ADP-ribose] polymerase) and drug transporters.

2.?Olaparib showed inhibition of the hepatic drug uptake transporters OATP1B1 (IC₅₀ values of 20.3?μM and 27.1?μM) and OCT1 (IC₅₀ 37.9?μM), but limited inhibition of OATP1B3 (25% at 100?μM); inhibition of the renal uptake transporters OCT2 (IC₅₀ 19.9?μM) and OAT3 (IC₅₀ 18.4?μM), but limited inhibition of OAT1 (13.5% at 100?μM); inhibition of the renal efflux transporters MATE1 and MATE2K (IC₅₀s 5.50?μM and 47.1?μM, respectively); inhibition of the efflux transporter MDR1 (IC₅₀ 76.0?μM), but limited inhibition of BCRP (47% at 100?μM) and no inhibition of MRP2. At clinically relevant exposures, olaparib has the potential to cause pharmacokinetic interactions via inhibition of OCT1, OCT2, OATP1B1, OAT3, MATE1 and MATE2K in the liver and kidney, as well as MDR1 in the liver and GI tract. Olaparib was found to be a substrate of MDR1 but not of several other transporters.

3.?Our assessments indicate that olaparib is a substrate of MDR1 and may cause clinically meaningful inhibition of MDR1, OCT1, OCT2, OATP1B1, OAT3, MATE1 and MATE2K.     

Clinical disposition,metabolism and in vitro drug–drug interaction properties of omadacycline

1.?Absorption, distribution, metabolism, transport and elimination properties of omadacycline, an aminomethylcycline antibiotic, were investigated in vitro and in a study in healthy male subjects.

2.?Omadacycline was metabolically stable in human liver microsomes and hepatocytes and did not inhibit or induce any of the nine cytochrome P450 or five transporters tested. Omadacycline was a substrate of P-glycoprotein, but not of the other transporters.

3.?Omadacycline metabolic stability was confirmed in six healthy male subjects who received a single 300?mg oral dose of [¹⁴C]-omadacycline (36.6 μCi). Absorption was rapid with peak radioactivity (～610 ngEq/mL) between 1–4?h in plasma or blood. The AUC_last of plasma radioactivity (only quantifiable to 8?h due to low radioactivity) was 3096 ngEq?h/mL and apparent terminal half-life was 11.1?h. Unchanged omadacycline reached peak plasma concentrations (～563?ng/mL) between 1–4?h. Apparent plasma half-life was 17.6?h with biphasic elimination. Plasma exposure (AUC_inf) averaged 9418?ng?h/mL, with high clearance (CL/F, 32.8?L/h) and volume of distribution (Vz/F 828?L). No plasma metabolites were observed.

4.?Radioactivity recovery of the administered dose in excreta was complete (>95%); renal and fecal elimination were 14.4% and 81.1%, respectively. No metabolites were observed in urine or feces, only the omadacycline C4-epimer.     

Prediction of drug–drug interaction potential using physiologically based pharmacokinetic modeling

The occurrence of drug–drug interactions (DDIs) can significantly affect the safety of a patient, and thus assessing DDI risk is important. Recently, physiologically based pharmacokinetic (PBPK) modeling has been increasingly used to predict DDI potential. Here, we present a PBPK modeling concept and strategy. We also surveyed PBPK-related articles about the prediction of DDI potential in humans published up to October 10, 2017. We identified 107 articles, including 105 drugs that fit our criteria, with a gradual increase in the number of articles per year. Studies on antineoplastic and immunomodulatory drugs (26.7%) contributed the most to published PBPK models, followed by cardiovascular (20.0%) and anti-infective (17.1%) drugs. Models for specific products such as herbal products, therapeutic protein drugs, and antibody–drug conjugates were also described. Most PBPK models were used to simulate cytochrome P450 (CYP)-mediated DDIs (74 drugs, of which 85.1% were CYP3A4-mediated), whereas some focused on transporter-mediated DDIs (15 drugs) or a combination of CYP and transporter-mediated DDIs (16 drugs). Full PBPK, first-order absorption modules and Simcyp^® software were predominantly used for modeling. Recently, DDI predictions associated with genetic polymorphisms, special populations, or both have increased. The 107 published articles reasonably predicted the DDI potentials, but further studies of physiological properties and harmonization of in vitro experimental designs are required to extend the application scope, and improvement of DDI predictions using PBPK modeling will be possible in the future.     

Species-dependent metabolism of a novel selective α7 neuronal acetylcholine receptor agonist ABT-107

Abstract

1. Metabolism of ABT-107 was investigated in in vitro hepatic systems, in rat and monkey receiving [¹⁴C]ABT-107, and in vivo plasma in rat, dog, monkey and human.

2. In in vitro hepatic systems, ABT-107 was primarily cleared via oxidative metabolism, and proceeded via two parallel pathways. Pathway 1, ABT-107 was oxidized at the nitrogen of quinuclidine moiety to form M1. Pathway 2, oxidation occurred at indole-containing moiety to form M2. Metabolism via N-oxidation was predominant in dog and rat, while in monkey and human, metabolism proceeded primarily via oxidation of indole-containing moiety.

3. ABT-107 was extensively metabolized in vivo in rat and monkey. M1 was primarily found in rat urine and bile; whereas, M2 was the major metabolite in monkey urine and feces. M1 was the predominant circulating metabolite in dog and rat. M2 was the primary circulating metabolite in monkey and human.

4. Enzymatic studies suggested M1 formation was primarily mediated by renal FMO1. CYP3A4, 1A2, 2J2 and 2D6 were primary enzymes catalyzing M2 formation.

5. Biotransformation of ABT-107 in human and monkey is markedly different from that in dog and rat, suggesting that monkey is an appropriate model for predicting human biotransformation and toxicology of ABT-107.     

Molecular determinants of selective agonist and antagonist binding to the histamine H₄ receptor

The deorphanization of the histamine H? receptor (H?R) has led to a significant number of scientific publications and patent applications. Whereas some histamine H?, H? and H? receptor ligands were found to have significant affinity for H?R, several agonists and antagonists with high affinity for H?R and selectivity over the other histamine receptors were successfully designed and synthesized. Moreover, site-directed mutation studies on H?R have been performed and reveal detailed information on receptor-ligand interactions. This review will focus on the most important H?R ligand scaffolds and their structure-activity relationships and selectivity over other histamine receptors and specific H?R functional activity. Experimental data are used to construct and validate high resolution three-dimensional receptor-ligand models and, vice versa, in silico models are used to design and rationalize experimental studies to probe receptor-ligand interactions.     

Drug metabolism and liver disease: a drug–gene–environment interaction

Despite the central role of the liver in drug metabolism, surprisingly there is lack of certainty in anticipating the extent of modification of the clearance of a given drug in a given patient. The intent of this review is to provide a conceptual framework in considering the impact of liver disease on drug disposition and reciprocally the impact of drug disposition on liver disease. It is proposed that improved understanding of the situation is gained by considering the issue as a special example of a drug–gene–environment interaction. This requires an integration of knowledge of the drug’s properties, knowledge of the gene products involved in its metabolism, and knowledge of the pathophysiology of its disposition. This will enhance the level of predictability of drug disposition and toxicity for a drug of interest in an individual patient. It is our contention that advances in pharmacology, pharmacogenomics, and hepatology, together with concerted interests in the academic, regulatory, and pharmaceutical industry communities provide an ideal immediate environment to move from a qualitative reactive approach to quantitative proactive approach in individualizing patient therapy in liver disease.     

An update on the potential role of intestinal first-pass metabolism for the prediction of drug–drug interactions: the role of PBPK modeling

Introduction: The intestinal absorption process is a combination of several events that are governed by various factors. Several transport mechanisms are involved in drug absorption through enterocytes via active and/or passive processes. The transported molecules then undergo intestinal metabolism, which together with intestinal transport may affect the systemic availability of drugs. Many studies have provided clear evidence on the significant role of intestinal first-pass metabolism on drug bioavailability and degree of drug–drug interactions (DDIs).

Areas covered: This review provides an update on the role of intestinal first-pass metabolism in the oral bioavailability of drugs and prediction of DDIs. It also provides a comprehensive overview and summary of the latest update in the role of physiologically based pharmacokinetic models modeling in prediction of intestinal metabolism and DDIs in humans.

Expert opinion: The contribution of intestinal first-pass metabolism in the oral bioavailability of drugs and prediction of DDIs has become more evident over the last few years. Several in vitro, in situ, and in vivo models have been developed to evaluate the role of first-pass metabolism and to predict DDIs. Currently, physiologically based pharmacokinetic modeling is considered the most valuable tool for the prediction of intestinal first-pass metabolism and DDIs.     

The drug–drug interaction of sorafenib mediated by P-glycoprotein and CYP3A4

1.?The aim of this study was to investigate the potential drug–drug interaction of sorafenib mediated by P-glycoprotein (P-gp) and cytochrome P450 3A4 (CYP3A4).

2.?In this research, a sensitive and reliable LC-MS/MS method was developed and applied for the determination of sorafenib in rat plasma. The pharmacokinetic profiles of orally administered sorafenib from rats with and without verapamil pretreatment were investigated.

3.?The results indicated that when the rats were pretreated with verapamil, the C_max of sorafenib increased from 55.73?ng/ml to 87.72?ng/ml (57.40%), and the AUC_(0?t) increased by approximately 58.2% when sorafenib was co-administered with verapamil. Additionally, the effects of verapamil on the absorption of sorafenib were investigated using the Caco-2 cell transwell model, and the effects of verapamil on the metabolic stability of sorafenib were also studied using rat liver microsomes incubation systems. A markedly higher transport of sorafenib across the Caco-2 cells was observed in the basolateral-to-apical direction and was abrogated in the presence of the P-gp inhibitor, verapamil. The results indicated that P-gp was involved in the transport of sorafenib, and verapamil could increase its absorption in the Caco-2 cell model, and the metabolic stability of sorafenib was prolonged by the pretreatment with verapamil.

4.?In conclusion, the drug–drug interaction of sorafenib might happen when sorafenib was co-administered with P-gp or CYP3A4 inhibitors.     

Lack of a rewarding effect and a locomotor-enhancing effect of the selective μ-opioid receptor agonist amidino-TAPA

Rationale and objectives

Psychological dependence is one of the worst side effects of morphine. It limits the clinical availability of morphine and non-patient morphine users suffer from addiction. An analgesic, which is more potent than morphine but without the liability of psychological dependence, has long been sought in the clinic. We have recently developed a new μ-opioid receptor agonist, N^α-amidino-Tyr-D-Arg-Phe-β-Ala (amidino-TAPA), as a potent analgesic with an antinociceptive profile that is distinct from morphine, including the release of endogenous κ-opioid peptides. The activation of κ-opioid receptors has been suggested to suppress the development of psychological dependence by μ-opioid receptor agonists. In the present study, the psychological dependence liability and the related locomotor-enhancing effect of amidino-TAPA were evaluated.

Results

Amidino-TAPA injected subcutaneously produced an extremely potent and longer lasting antinociception than morphine in ddY mice, prodynorphin-knockout mice, and wild-type C57BL/6J mice. Unlike subcutaneously injected morphine, which had potent locomotor-enhancing and rewarding effects at antinociceptive doses in ddY mice, amidino-TAPA injected subcutaneously did not induce significant locomotor-enhancing and rewarding effects at antinociceptive or even higher doses in ddY mice. In wild-type C57BL/6J mice, amidino-TAPA showed the same pharmacological profile (potent antinociception, lack of locomotor-enhancing and rewarding effects) as in ddY mice. However, amidino-TAPA produced potent locomotor-enhancing and rewarding effects at antinociceptive doses in prodynorphin-knockout mice.

Conclusions

The present results suggest that amidino-TAPA is a potent analgesic without the liability of psychological dependence because it releases endogenous κ-opioid peptides.     

Validation of cell-based OATP1B1 assays to assess drug transport and the potential for drug–drug interaction to support regulatory submissions

1. Transporters are carrier proteins that may influence pharmacokinetic, pharmacodynamic, and toxicological characteristics of drugs. The development of validated in vitro transporter models is imperative to support regulatory submissions of drug candidates. This study is focused on utilizing human embryonic kidney (HEK) 293 cell cultures genetically transfected with the human organic anion transporting polypeptides (OATP) 1B1 transporter to identify substrates and inhibitors in drug development.

2. The kinetics of OATP1B1-mediated uptake of [³H]-oestradiol 17β-glucuronide and inhibition of uptake by rifamycin SV were used to determine K_m, V_max, and IC₅₀ values over a range of passage numbers to investigate accuracy and precision. The mean K_m and V_max values were found to be 6.3?±?1.2 μM and 460?±?96 pmol min^?1 mg^?1, respectively. The mean IC₅₀ value for rifamycin SV was 0.23?±?0.07 μM on uptake of 1 μM [³H]-oestradiol 17β-glucuronide. These data were similar to previously reported values (accuracy greater than 82%), reproducible (precision less than 29%) and exhibited low standard deviations (SDs) obviating the need to study test compounds on more than one occasion.

3. [³H]-oestrone 3-sulfate and [³H]-pravastatin exhibited concentration-dependent OATP1B1 uptake, and statistically significant differences were observed at each concentration between uptake rates of HEK293-OATP1B1 and HEK293-MOCK cells (uptake ratios greater than or equal to 3). Propranolol showed no positive uptake ratio. Bezafibrate and gemfibrozil exhibited concentration-dependent inhibition of OATP1B1-mediated uptake of [³H]-oestradiol 17β-glucuronide with mean IC₅₀ values of 16 and 27 μM, respectively.

4. Based on the validation results, acceptance criteria to identify a test compound as a substrate and/or inhibitor using these specific cell lines were determined. These validated OATP1B1 assays were robust, reproducible, and suitable for routine in vitro evaluation of candidate drugs.

     

Quantitative prediction of the extent of drug–drug interaction using a physiologically based pharmacokinetic model that includes inhibition of drug metabolism determined in cryopreserved hepatocytes

1. A physiologically based pharmacokinetic (PBPK) model that includes inhibition constant evaluated in cryopreserved hepatocytes was used to predict drug–drug interactions (DDIs) between orally administered nifedipine, a CYP substrate, and fluconazole or ketoconazole, CYP inhibitors, in rats.

2. The Kp,uu, ratio of unbound inhibitor concentration in liver ([I]liver,u) to that in plasma ([I]sys,u), of fluconazole and ketoconazole was 1.0 and 13.0, indicating that ketoconazole accumulates in liver. The ratios of inhibition constants in rat liver microsomes (Ki,mic,u) to that in rat cryopreserved hepatocytes (Ki,hep,u) for fluconazole and ketoconazole were 1.5 and 25.5, which were similar to the Kp,uu and suggested that cryopreserved hepatocytes could mimic the hepatic accumulation of inhibitors.

3. The increases in AUC of nifedipine predicted by the minimal PBPK model using [I]liver,u/Ki,mic,u and [I]sys,u/Ki,hep,u were within 1.5-fold of the observed values for both inhibitors, whereas the model using [I]sys,u/Ki,mic,u underestimated the AUC increase caused by ketoconazole 21-fold.

4. These results indicated that hepatic accumulation factor of an inhibitor is required for a precise DDI projection and that cryopreserved hepatocytes would be useful to obtain the Ki including hepatic accumulation factor. It was demonstrated that PBPK model using Ki,hep,u could be a valuable approach for quantitative DDI projection.     

The cannabinoid receptor inverse agonist AM251 regulates the expression of the EGF receptor and its ligands via destabilization of oestrogen-related receptor α protein

BACKGROUND AND PURPOSE

AM251 is an inverse agonist of the cannabinoid 1 receptor (CB₁R) that can exert ‘off-target’ effects in vitro and in CB₁R knock-out mice. AM251 is also potent at modulating tumour cell growth, suggesting that growth factor-mediated oncogenic signalling could be regulated by AM251. Since dysregulation of the EGF receptor has been associated with carcinogenesis, we examined AM251 regulation of EGF receptor (EGFR) expression and function.

EXPERIMENTAL APPROACH

The various biological functions of AM251 were measured in CB₁R-negative human cancer cells. Pharmacological and genetic approaches were used to validate the data.

KEY RESULTS

The mRNA levels for EGFR and its associated ligands, including HB-EGF, were induced several fold in PANC-1 and HCT116 cells in response to AM251. This event was associated with enhanced expression of EGFR on the cell surface with concomitant increase in EGF-induced cellular responses in AM251-treated cells. Exposure to XCT790, a synthetic inverse agonist of the orphan nuclear oestrogen-related receptor α (ERRα), also induced EGFR and HB-EGF expression to the same extent as AM251, whereas pretreatment with the ERRα-selective agonist, biochanin A, blunted AM251 actions. AM251 promoted the degradation of ERRα protein without loss of the corresponding mRNA. Knock-down of ERRα by siRNA-based approach led to constitutive induction of EGFR and HB-EGF levels, and eliminated the biological responses of AM251 and XCT790. Finally, AM251 displaced diethylstilbestrol prebound to the ligand-binding domain of ERRα.

CONCLUSIONS AND IMPLICATIONS

AM251 up-regulates EGFR expression and signalling via a novel non-CB₁R-mediated pathway involving destabilization of ERRα protein in selected cancer cell lines.     

Reappraisal and perspectives of clinical drug–drug interaction potential of α-glucosidase inhibitors such as acarbose,voglibose and miglitol in the treatment of type 2 diabetes mellitus

1.?Amidst the new strategies being developed for the management of type 2 diabetes mellitus (T2DM) with both established and newer therapies, alpha glucosidase inhibitors (AGIs) have found a place in several treatment protocols.

2.?The objectives of the review were: (a) to compile and evaluate the various clinical pharmacokinetic drug interaction data for AGIs such as acarbose, miglitol and voglibose; (b) provide perspectives on the drug interaction data since it encompasses coadministered drugs in several key areas of comorbidity with T2DM.

3.?Critical evaluation of the interaction data suggested that the absorption and bioavailability of many coadministered drugs were not meaningfully affected from a clinical perspective. Therefore, on the basis of the current appraisal, none of the AGIs showed an alarming and/or overwhelming trend of interaction potential with several coadministered drugs. Hence, dosage adjustment is not warranted in the use of AGIs in T2DM patients in situations of comorbidity.

4.?The newly evolving fixed dose combination strategies with AGIs need to be carefully evaluated to ensure that the absorption and bioavailability of the added drug are not impaired due to concomitant food ingestion.     

The incidence of potential drug–drug interactions in elderly patients with arterial hypertension

Objective To assess the incidence and type of potential, clinically significant drug–drug interactions in elderly outpatients with arterial hypertension. Setting Three community pharmacies in Croatia. Method Eligible patients were aged 65 or older, treated for arterial hypertension and received 2 or more drugs. Potential interactions were identified by Lexi-Interact software. The software categorized each potential interaction according to clinical significance in five groups: (A) No known interaction; (B) Specified agents may interact, but there is little to no evidence of clinical concern; (C) Specified agents may interact in a clinically significant manner. Monitoring therapy is suggested; (D) The two medications may interact in a clinically significant manner. Modification of therapy is suggested; (X) Contraindicated combination. Interactions of level C, D and X were considered clinically significant. Main outcome measure The incidence and type of potential drug–drug interactions. Results There were 265 patients included in the study. Potential, clinically significant drug interactions were identified in 240 (90.6%) patients, out of which 97.9% had interactions with clinical significance C, 20.4% D, and 0.8% X. The median number of drug interactions per patient was 4. We identified 215 drug combinations with the potential to cause clinically significant interaction, out of which 83.3% had clinical significance C, 16.3% clinical significance D, and 0.4% clinical significance X. Conclusion Drug–drug interactions are common in elderly hypertensive patients. Computer-based screening could help pharmacists and physicians to recognize potential, clinically significant interactions.