Utilizing a Dual Human Transporter MDCKII-MDR1-BCRP Cell Line to Assess Efflux at the Blood Brain Barrier.

To facilitate the design of drugs readily able to cross the blood brain barrier (BBB), a Madin-Darby canine kidney (MDCK) cell line was established that over expresses both P-glycoprotein (Pgp) and breast cancer resistance protein (BCRP), the main human efflux transporters of the BBB. Proteomics analyses indicate BCRP is expressed at a higher level than Pgp in this cell line. This cell line shows good activity for both transporters [BCRP substrate dantrolene efflux ratio (ER) 16.3 ± 0.9, Pgp substrate quinidine ER 27.5 ± 1.2], and use of selective transporter inhibitors enables an assessment of the relative contributions to overall ERs. The MDCKII-MDR1-BCRP ER negatively correlates with rat unbound brain/unbound plasma ratio, Kpuu Highly brain penetrant compounds with rat Kpuu ≥ 0.3 show ERs ≤ 2 in the MDCKII-MDR1-BCRP assay while compounds predominantly excluded from the brain, Kpuu ≤ 0.05, demonstrate ERs ≥ 20. A subset of compounds with MDCKII-MDR1-BCRP ER < 2 and rat Kpuu < 0.3 were shown to be substrates of rat Pgp using a rat transfected cell line, MDCKII-rMdr1a. These compounds also showed ERs > 2 in the human National Institutes of Health (NIH) MDCKI-MDR1 (high Pgp expression) cell line, which suggests that they are weak human Pgp substrates. Characterization of 37 drugs targeting the central nervous system in the MDCKII-MDR1-BCRP efflux assay show 36 have ERs < 2. In drug discovery, use of the MDCKII-MDR1-BCRP in parallel with the NIH MDCKI-MDR1 cell line is useful for identification of compounds with high brain penetration. SIGNIFICANCE STATEMENT: A single cell line that includes both the major human efflux transporters of the blood brain barrier (MDCKII-MDR1-BCRP) has been established facilitating the rapid identification of efflux substrates and enabling the design of brain penetrant molecules. Efflux ratios using this cell line demonstrate a clear relationship with brain penetration as defined by rat brain Kpuu.

Physiologically-based Pharmacokinetic (PBPK) Modelling of Transporter Mediated Drug Absorption, Clearance and Drug-drug Interactions.

Membrane transporters play an important role in intestinal absorption, distribution and clearance of drugs. Additionally transporters along with enzymes regulate tissue exposures (e.g. liver, kidney and brain), which are important for safety and efficacy considerations. Early identification of transporters involved guides generation of in vitro and in vivo data needed to gain mechanistic understanding on the role of transporters in organ clearance, tissue exposures and enables development of physiological-based pharmacokinetic (PBPK) models. A lot of progress has been made in developing several in vitro assay systems and mechanistic in silico models to determine kinetic parameters for transporters, which are incorporated into PBPK models. Although, intrinsic clearance and inhibition data from in vitro systems generally tend to underpredict in vivo clearance and magnitude of drug-drug interactions (DDIs), empirical scaling factors derived from a sizable dataset are often used to offset underpredictions. PBPK models are increasing used to predict the impact of transporters on intestinal absorption, clearance, victim and perpetrator DDIs prior to first in human clinical trials. The models are often refined when clinical data is available and are used to predict pharmacokinetics in untested scenarios such as the impact of polymorphisms, ontogeny, ethnicity, disease states and DDIs with other perpetrator drugs. The aim of this review is to provide an overview of (i) regulatory requirements around transporters, (ii) in vitro systems and their limitations in predicting transporter mediated drug disposition and DDIs, (iii) PBPK modelling tactics and case studies used for internal decision making and/or for regulatory submissions.

Understanding Mechanisms of Food Effect and Developing Reliable PBPK Models Using a Middle-out Approach.

Over the last 10 years, 40% of approved oral drugs exhibited a significant effect of food on their pharmacokinetics (PK) and currently the only method to characterize the effect of food on drug absorption, which is recognized by the authorities, is to conduct a clinical evaluation. Within the pharmaceutical industry, there is a significant effort to predict the mechanism and clinical relevance of a food effect. Physiologically based pharmacokinetic (PBPK) models combining both drug-specific and physiology-specific data have been used to predict the effect of food on absorption and to reveal the underlying mechanisms. This manuscript provides detailed descriptions of how a middle-out modeling approach, combining bottom-up in vitro-based predictions with limited top-down fitting of key model parameters for clinical data, can be successfully used to predict the magnitude and direction of food effect when it is predicted poorly by a bottom-up approach. For nefazodone, a mechanistic clearance for the gut and liver was added, for furosemide, an absorption window was introduced, and for aprepitant, the biorelevant solubility was refined using multiple solubility measurements. In all cases, these adjustments were supported by literature data and showcased a rational approach to assess the factors limiting absorption and exposure.

Transporter-enzyme interplay and the hepatic drug clearance: what have we learned so far?

Introduction: Transporters and enzymes play an important role in absorption, distribution, clearance and elimination of drugs.Areas covered: This review provides an overview of the extended clearance concept and usefulness of extended clearance classification system (ECCS) in early identification of predominant clearance mechanisms. Clinical studies demonstrating transporter-enzyme interplay, challenges in scaling clearance from in vitro systems, utility of animal models and modeling approaches for evaluating hepatic clearance and drug-drug interactions are reviewed.Expert opinion: Clinical evidence exists supporting organic anion transporting peptide (OATP)1B and drug metabolizing enzymes involvement in clearance of ECCS class 1B drugs. Emerging evidence point toward contribution of organic cation transporter (OCT)1 to hepatic uptake of cationic drugs. Although, limited clinical evidence is presented, preclinical studies and modeling suggests organic anion transporter (OAT)2-enzyme interplay in clearance of class 1A drugs. Data from in vitro assays and preclinical models coupled with physiologically based modeling approaches are key for understanding transporter-enzyme interplay, enabling prediction of pharmacokinetics, tissue exposure and drug interactions. Current methodologies incur limitations and emphasis should be placed on the development of physiologically relevant in vitro models and characterize in vivo animal models to inform mechanistic modeling and improve confidence in prospective predictions.

Association of methylene tetrahydrofolate reductase C677T genotype with type 2 diabetes mellitus patients with and without renal complications.

Diabetes is gradually getting the status of a global epidemic, with India projected as the capital of type 2 diabetes mellitus (T2DM). Nephropathy is an important complication of diabetes and a major cause of end-stage renal disease. Studies from different parts of the world have given controversial results regarding the association of methylene tetrahydrofolate reductase (MTHFR) gene variation with T2DM and diabetic nephropathy (DN). This case-control study assessed the association of MTHFR C677T mutation in T2DM and DN cases. Genotyping of MTHFR was carried out for 236 T2DM cases with diabetes diagnosed for >8 years, having either normoalbuminuria (n=100) or established DN (n=136). One hundred age- and sex-matched healthy individuals with normal blood sugars and no family history of T2DM were selected as controls. This first report from India gives a highly significant odds ratio of 4.0423 (95% confidence interval=1.8753-8.7133), indicating that the MTHFR 677T allele confers a fourfold risk of developing DM in our population. The frequency of the T allele in both the DM and DN groups was similar (i.e., 0.16 and 0.11, respectively), showing no association with the initiation or progression of DN. Individuals with a family history of diabetes or with risk factors such as obesity, hypertension, and impaired glucose tolerance should be screened for MTHFR C677T mutation and may be prescribed folic acid, vitamin B6, and vitamin B12 to assess if this helps in delaying the onset of diabetes.

Relationship of angiotensin-converting enzyme gene polymorphism with nephropathy associated with Type 2 diabetes mellitus in Asian Indians.

OBJECTIVE: Diabetic nephropathy (DN) has become the leading cause of end-stage renal disease, but the pathogenesis of this condition is not exactly understood. Several studies from different parts of the world have examined angiotensin-converting enzyme (ACE) gene polymorphism as a candidate for DN. Two studies yielding controversial results have been reported from India. To rule out this discrepancy, we carried out a hospital-based study on a cohort from our population to determine whether ACE gene polymorphism is associated with DN. RESEARCH DESIGN AND METHODS: ACE gene polymorphism was analyzed by polymerase chain reaction in 460 individuals consisting of 174 cases of DN, 175 cases of Type 2 diabetes mellitus (DM), and 111 controls. The DN cases included in the study were Type 2 DM cases with serum creatinine >1.5 mg/dl and serum albumin >30 mg/dl in a 24-h urine sample. RESULTS: ACE insertion/deletion genotyping analysis showed DD genotype in 22.75% of DN cases, 15.42% of Type 2 DM cases, and 21.62% of controls. Chi-square test between the DN group and the control group did not show a significant difference in D allele. However, the difference was significant at P<.05 between the DN group and the DM group. The odds ratio was 2.0953 (95% confidence interval=1.35-3.2522), indicating a significant association of DD genotype and D allele with DN. CONCLUSION: Our data enable us to conclude that Asian Indians with D allele and Type 2 DM are at greater risk for developing DN.