Assessing OATP1B1- and OATP1B3-Mediated Drug-Drug Interaction Potential of Vemurafenib Using R-Value and Physiologically-Based Pharmacokinetic Models

Application of physiologically based pharmacokinetics modeling in the research of small-molecule targeted anti-cancer drugs

INTRODUCTION

Physiologically based pharmacokinetics (PBPK) models are increasingly used in the drug research and development, especially in anti-cancer drugs. Between 2001 and 2020, a total of 89 small-molecule targeted antitumor drugs were approved in China and the United States, some of which already included PBPK modeling in their application or approval packages. This article intended to review the prevalence and application of PBPK model in these drugs.

METHOD

Article search was performed in the PubMed to collect English research articles on small-molecule targeted anti-cancer drugs using PBPK modeling. The selected articles were classified into nine categorizes according to the application areas and further analyzed.

RESULT

From 2001 to 2020, more than 60% of small-molecule targeted anti-cancer drugs (54/89) were studied using PBPK model with a wide range of application. Ninety research articles were included, of which 48 involved enzyme-mediated drug-drug interaction (DDI). Of these retrieved articles, Simcyp, GastroPlus, and PK-Sim were the most widely model building platforms, which account for 63.8%, 15.2%, and 8.6%, respectively.

CONCLUSION

PBPK modeling is commonly and widely used to research small-molecule targeted anti-cancer drugs.

Differential Preincubation Effects of Nicardipine on OATP1B1- and OATP1B3-Mediated Transport in the Presence and Absence of Protein: Implications in Assessing OATP1B1- and OATP1B3-Mediated Drug-Drug Interactions

Impaired transport activity of hepatic OATP1B1 and OATP1B3 due to drug-drug interactions (DDIs) often leads to increased systemic exposure to substrate drugs (e.g., lipid-lowering statins). Since dyslipidemia and hypertension frequently coexist, statins are often concurrently used with antihypertensives, including calcium channel blockers (CCBs). OATP1B1/1B3-related DDIs in humans have been reported for several CCBs. To date, the OATP1B1/1B3-mediated DDI potential of CCB nicardipine has not been assessed. The current study was designed to assess the OATP1B1- and OATP1B3-mediated DDI potential of nicardipine using the R-value model, following the US-FDA guidance. IC50 values of nicardipine against OATP1B1 and OATP1B3 were determined in transporter-overexpressing human embryonic kidney 293 cells using [3H]-estradiol 17β-D-glucuronide and [3H]-cholecystokinin-8 as substrates, respectively, with or without nicardipine-preincubation in protein-free Hanks' Balanced Salt Solution (HBSS) or in fetal bovine serum (FBS)-containing culture medium. Preincubation with nicardipine for 30 min in protein-free HBSS buffer produced lower IC50 and higher R-values for both OATP1B1 and OATP1B3 compared to in FBS-containing medium, yielding IC50 values of 0.98 and 1.63 µM and R-values of 1.4 and 1.3 for OATP1B1 and OATP1B3, respectively. The R-values were higher than the US-FDA cut-off value of 1.1, supporting that nicardipine has the potential to cause OATP1B1/3-mediated DDIs. Current studies provide insight into the consideration of optimal preincubation conditions when assessing the OATP1B1/3-mediated DDIs in vitro.

Novel inhibitors of breast cancer resistance protein (BCRP, ABCG2) among marketed drugs

Drug-drug interactions (DDIs) are a major concern for the safe use of medications. Breast cancer resistance protein (BCRP) is a clinically relevant ATP-binding cassette (ABC) transporter for drug disposition. Inhibition of BCRP increases the plasma concentrations of BCRP substrate drugs, which potentially could lead to adverse drug reactions. The aim of the present study was to identify BCRP inhibitors amongst a library of 232 commonly used drugs and anticancer drugs approved by the United States Food and Drug Administration (FDA). BCRP inhibition studies were carried out using the vesicular transport assay. We found 75 drugs that reduced the relative transport activity of BCRP to less than 25% of the vehicle control and were categorized as strong inhibitors. The concentration required for 50% inhibition (IC₅₀) was determined for 13 strong inhibitors that were previously poorly characterized for BCRP inhibition. The IC₅₀ ranged from 1.1 to 11 µM, with vemurafenib, dabigatran etexilate and everolimus being the strongest inhibitors. According to the drug interaction guidance documents from the FDA and the European Medicines Agency (EMA), in vivo DDI studies are warranted if the theoretical intestinal luminal concentration of a drug exceeds its IC₅₀ by tenfold. Here, the IC₅₀ values for eight of the drugs were 100-fold lower than their theoretical intestinal luminal concentration. Moreover, a mechanistic static model suggested that vemurafenib, bexarotene, dabigatran etexilate, rifapentine, aprepitant, and ivacaftor could almost fully inhibit intestinal BCRP, increasing the exposure of concomitantly administered rosuvastatin over 90%. Therefore, clinical studies are warranted to investigate whether these drugs cause BCRP-mediated DDIs in humans.

Predicting transporter mediated drug-drug interactions via static and dynamic physiologically based pharmacokinetic modeling: A comprehensive insight on where we are now and the way forward

The greater utilization and acceptance of physiologically-based pharmacokinetic (PBPK) modeling to evaluate the potential metabolic drug-drug interactions is evident by the plethora of literature, guidance's, and regulatory dossiers available in the literature. In contrast, it is not widely used to predict transporter-mediated DDI (tDDI). This is attributed to the unavailability of accurate transporter tissue expression levels, the absence of accurate in vitro to in vivo extrapolations (IVIVE), enzyme-transporter interplay, and a lack of specific probe substrates. Additionally, poor understanding of the inhibition/induction mechanisms coupled with the inability to determine unbound concentrations at the interaction site made tDDI assessment challenging. Despite these challenges, continuous improvements in IVIVE approaches enabled accurate tDDI predictions. Furthermore, the necessity of extrapolating tDDI's to special (pediatrics, pregnant, geriatrics) and diseased (renal, hepatic impaired) populations is gaining impetus and is encouraged by regulatory authorities. This review aims to visit the current state-of-the-art and summarizes contemporary knowledge on tDDI predictions. The current understanding and ability of static and dynamic PBPK models to predict tDDI are portrayed in detail. Peer-reviewed transporter abundance data in special and diseased populations from recent publications were compiled, enabling direct input into modeling tools for accurate tDDI predictions. A compilation of regulatory guidance's for tDDI's assessment and success stories from regulatory submissions are presented. Future perspectives and challenges of predicting tDDI in terms of in vitro system considerations, endogenous biomarkers, the use of empirical scaling factors, enzyme-transporter interplay, and acceptance criteria for model validation to meet the regulatory expectations were discussed.

Angiotensin II receptor blockers (ARBs) and manufacturing contamination: A retrospective National Register Study into suspected associated adverse drug reactions

AIMS

The aim of this study was to determine if any suspected adverse drug reactions (ADRs) observed with the use of angiotensin II receptor blockers (ARBs) could be linked to either (a) their unique respective physicochemical and pharmacological profiles and (b) the recently disclosed suspected carcinogenic manufacturing contaminants found in certain sartan drug class batches.

METHODS

The pharmacology profiles of ARBs were data-mined from the Chemical Database of bioactive molecules with drug-like properties, European Molecular Biology Laboratory (ChEMBL). Suspected ADR data (from 01/2016-10/2022, inclusive) and prescribing rates of ARBs over a 5-year prescribing window (from 09/2016 to 08/2021, inclusive) were obtained via analysis of the United Kingdom Medicines and Healthcare products Regulatory Authority (MHRA) Yellow Card drug analysis profile and Open prescribing databases, respectively.

RESULTS

The overall suspected ADRs and fatalities per 100 000 prescriptions identified across the ARBs studied were found to be different between the sartan drug class members (chi-squared test, P < .05). There is a greater relative rate of reports for valsartan across all investigated organ classes of ADRs, than other ARBs, despite valsartan's more limited pharmacological profile and similar physicochemical properties to other sartans. The disparity in ADR reporting rates with valsartan vs other ARBs could be due to the dissimilarity in formulation excipients, patient factors and publicity surrounding batch contaminations, amongst others. Cancer-related ADRs and fatalities per 100 000 prescriptions identified across the ARBs studied are not statistically significant (chi-squared test, P > .05) based on the datasets used over the 5-year period.

CONCLUSION

No connection between ARB pharmacology and their suspected ADRs could be found. No conclusion between sartan batch contaminations and increased suspected cancer-related ADRs was found.

Impact of Pineapple Juice on Expression of CYP3A4, NAT2, SULT1A1 and OATP1B1 mRNA in HepG2 Cells

&lt;b&gt;Background and Objective:&lt;/b&gt; Pineapple (&lt;i&gt;Ananas comosus&lt;/i&gt;) is a popular fruit worldwide with natural antioxidant properties. This study examined how pineapple modified the expression of drug-metabolizing enzymes (CYP1A2, CYP2C9, CYP3A4, UGT1A6, NAT2 and SULT1A1) and a drug transporter (OATP1B1) in human hepatocarcinoma (HepG2) cells. &lt;b&gt;Materials and Methods:&lt;/b&gt; HepG2 cells (2.5×10&lt;sup&gt;5&lt;/sup&gt; cells/well in a 24-well plate) were incubated with pineapple juice extract (125-1,000 μg mL&lt;sup&gt;1&lt;/sup&gt;) for 48 hrs in phenol red-free medium. Resazurin reduction, ROS, AST and ALT assays were performed. The mRNA expression of target genes was determined by RT/qPCR. &lt;b&gt;Results:&lt;/b&gt; Pineapple juice slightly reduced HepG2 cell viability to 80% of the control, while ROS, AST and ALT levels were not changed. Pineapple juice did not alter the expression of CYP1A2, CYP2C9 and UGT1A6 mRNA. All tested concentrations of pineapple juice suppressed CYP3A4, NAT2 and OATP1B1 expression, while SULT1A1 expression was induced. &lt;b&gt;Conclusion:&lt;/b&gt; Though pineapple juice slightly decreased the viability of HepG2 cells, cell morphology and cell function remained normal. Pineapple juice disturbed the expression of phase I (CYP3A4) and phase II (NAT2 and SULT1A1) metabolizing genes and the drug transporter OATP1B1. Therefore, the consumption of excessive amounts of pineapple juice poses a risk for drug interactions.

Impact of Pineapple on Mitochondrial Permeability Transition and Drug Metabolizing Genes in Caco-2 Cells

&lt;b&gt;Background and Objective:&lt;/b&gt; Pineapple (&lt;i&gt;Ananas comosus&lt;/i&gt; L.) has antioxidant and other pharmacological properties. This study examined how pineapple modified mitochondrial permeability transition and expression of drug-metabolizing enzymes, i.e., CYP1A2, CYP2C9, CYP3A4, UGT1A6, NAT2 and the drug transporter OATP1B1 in human colorectal adenocarcinoma (Caco-2) cells. &lt;b&gt;Materials and Methods:&lt;/b&gt; Caco-2 cells (2.5×10&lt;sup&gt;5&lt;/sup&gt; cells well&lt;sup&gt;1&lt;/sup&gt; in 24-well plates) were incubated with pineapple (125 to 1,000 μg mL&lt;sup&gt;1&lt;/sup&gt;) for 48 hrs in a phenol red-free medium. Mitochondrial permeability transition, resazurin cell viability and AST and ALT levels were investigated. The mRNA expression of target genes was determined by RT/qPCR. &lt;b&gt;Results:&lt;/b&gt; Pineapple significantly reduced depolarized mitochondria, slightly decreased cell viability and did not change AST and ALT levels. Pineapple did not modify the mRNA expressions of CYP1A2, CYP2C9 and CYP3A4 but markedly induced UGT1A6 expression. The highest tested concentration of pineapple (1,000 μg mL&lt;sup&gt;1&lt;/sup&gt;) significantly suppressed NAT2 and OATP1B1 expression. &lt;b&gt;Conclusion:&lt;/b&gt; Although pineapple slightly decreased cell viability to ~80% of control, the morphology and functions of the cells were unaffected. Pineapple showed a beneficial effect to reduce depolarized mitochondria, which consequently decreased reactive oxygen species production. Pineapple did not modify the expression of CYPs, whilst it altered the expression of phase 2 metabolizing genes UGT1A6 and NAT2 and the transporter OATP1B1. Therefore, the consumption of large amounts of pineapple is of concern for the risk of drug interaction via alteration of UGT1A6, NAT2 and OATP1B1 expression.