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The objective of the present study was to determine the efflux transporters responsible for acid and lactone statin drug efflux using transporter knockdown Caco-2 cells. The bidirectional transport was determined in Caco-2 cell monolayers in which the expression of P-glycoprotein (P-gp), breast cancer resistance protein (BCRP), or multidrug resistance associated protein 2 (MRP2) was knocked down by transduction with lentivirus containing human transporter-targeted small hairpin RNAs (shRNAs). Cells transduced with lentivirus containing nontargeted shRNA served as the vector control. Atorvastatin, lovastatin, and rosuvastatin displayed extremely low apical-to-basolateral (A-to-B) transport, which made the P(app,A-B) values too unreliable to calculate the efflux ratio. Thus, transport comparisons were performed using the B-to-A permeability (P(app,B-A)) values. Presented in the order of vector control, P-gp, BCRP, and MRP2 knockdown Caco-2 cells, the P(app,B-A) values (×10(-6), cm/s) were 28.1 ± 1.3, 8.6 ± 2.9, 20.3 ± 1.8, and 21.5 ± 1.6 for atorvastatin; 96.1 ± 7.1, 25.3 ± 3.5, 57.3 ± 9.8, and 48.2 ± 2.3 for fluvastatin; and 14.1 ± 1.9, 4.6 ± 1.7, 5.8 ± 0.7, and 6.6 ± 1.8 for rosuvastatin, respectively. Lovastatin and simvastatin showed no efflux in the vector control or knockdown cell monolayers in either lactone or acid forms. Results indicate that atorvastatin, fluvastatin, and rosuvastatin were transported by P-gp, BCRP, and MRP2. On the other hand, neither the lactone nor the resulting acid of lovastatin and simvastatin was transported by P-gp, BCRP, or MRP2. The current study demonstrated that the transporter knockdown Caco-2 cells are useful tools for studying drug-transporter interactions and should help eliminate some of the ambiguity associated with the identification of drug-transporter interactions based on chemical inhibitors alone.

Purpose Currently, the FDA allows biowaivers for Class I (high solubility and high permeability) and Class III (high solubility and low permeability) compounds of the Biopharmaceutics Classification System (BCS). Scientific evidence should be provided to support biowaivers for BCS Class I and Class III (high solubility and low permeability) compounds. Methods Data on the effects of excipients on drug permeability are needed to demonstrate that commonly used excipients do not affect the permeability of BCS Class III compounds, which would support the application of biowaivers to Class III compounds. This study was designed to generate such data by assessing the permeability of four BCS Class III compounds and one Class I compound in the presence and absence of five commonly used excipients. Results The permeability of each of the compounds was assessed, at three to five concentrations, with each excipient in two different models: Caco-2 cell monolayers, and in situ rat intestinal perfusion. No substantial increases in the permeability of any of the compounds were observed in the presence of any of the tested excipients in either of the models, with the exception of disruption of Caco-2 cell monolayer integrity by sodium lauryl sulfate at 0.1 mg/ml and higher. Conclusion The results suggest that the absorption of these four BCS Class III compounds would not be greatly affected by the tested excipients. This may have implications in supporting biowaivers for BCS Class III compounds in general.

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This report summarizes the proceedings for day 2 sessions 1 and 3 of the 2‐day public workshop entitled “Regulatory Utility of Mechanistic Modeling to Support Alternative Bioequivalence Approaches,” a jointly sponsored workshop by the US Food and Drug Administration (FDA) and the Center for Research on Complex Generics (CRCG). The aims of this workshop were: (1) to discuss how mechanistic modeling, including physiologically‐based pharmacokinetic (PBPK) modeling and simulation, can support product development, and regulatory submissions; (2) to share the current state of mechanistic modeling for bioequivalence (BE) assessment through case studies; (3) to establish a consensus on best practices for using PBPK modeling for BE assessment to help drive further investment by the generic drug industry into mechanistic modeling and simulation; and (4) to introduce the concept of a Model Master File to improve model‐sharing. The theme of day 2 covered PBPK absorption model for oral products as an alternative BE approach and a tool for supporting risk assessment and biowaiver (session 1), oral PBPK for evaluating the impact of food on BE (session 2), successful cases, and challenges for oral PBPK (session 3). This report summarizes the topics of the presentations of day 2 sessions 1 and session 3 from FDA, academia, and pharmaceutical industry, including the current status of oral PBPK, case examples as well as the challenges and opportunities in this area. In addition, panel discussions on the utility of oral PBPK in both new drugs and generic drugs from regulatory and industry perspective are also summarized.