The ABC protein P-glycoprotein (Pgp, ABCB1) transports many structurally diverse substrates from the lipid bilayer. Previous studies demonstrated the importance of the membrane environment, but few have quantified these effects. In the present work, purified Pgp reconstituted into defined lipid systems was employed. Drug binding affinities were determined using Trp quenching, and drug-lipid partitioning by equilibrium dialysis. Pgp bound substrates from the bilayer with affinities in the millimolar range; both drug-Pgp and drug-lipid interactions were important. The kinetics of Pgp-mediated drug transport were sensitive to drug structure and lipid environment. The rate of transport is proposed to depend on the affinity of Pgp for substrate and conformational changes. The lipid bilayer affected the stability of Pgp catalytic activity which provided evidence for distinct basal and drug-stimulated ATPase cycles. Overall, the lipid environment had pronounced effects on Pgp-mediated drug binding, transport and catalytic functions. / Canadian Cancer Society

Charles University Faculty of Pharmacy in Hradec Králové Department of Pharmacology and Toxicology Student: Bc. Anna Štefanová Supervisor: PharmDr. Ivan Vokřál, Ph.D. Title of diploma thesis: Effect of anthelmintics on the transport of drugs in the intestine Several classes of drugs are currently available for the treatment of helminthiasis in humans and animals, the so-called anthelmintics. Most of these drugs are administered by the oral route, where absorption into the systemic circulation occurs through the intestinal barrier. However, the course and extent of this absorption may be limited by biotransforming enzymes and transport proteins, in particular the family of so-called ATP-binding cassette transporters. These transporters are capable of returning many xenobiotics, including many drugs, back into the lumen of the gut and are the first line of defence against the entry of these substances into the body. An important representative of this group of transporters is P-glycoprotein, which is known for its broad substrate specificity. On this transporter, drugs can act as substrates but also as inhibitors and/or inducers, which may lead to the risk of drug-drug interactions. There is relatively little information about the effect of anthelmintics on P-glycoprotein inhibition. The most studied...

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A vast majority of heart attacks occur due to rapid progression of plaque buildup in the coronary arteries that supply blood to the heart muscles. The diseased arteries can be treated with drugs delivered locally to vulnerable plaques—ones that may rupture and release emboli, resulting in the formation of thrombus, or blood clot that can cause blockage of the arterial lumen. In designing these local drug delivery devices, important issues regarding drug distribution and targeting need to be addressed to ensure device design optimization as physiological forces can cause the local concentration to be very different from mean drug tissue concentration estimated from in vitro experiments and animal studies. Therefore, the main objective of this work was to develop a computational tool-set to support the design of a catheter-based local drug delivery system that uses nanoparticles as drug carriers by simulating drug transport and quantifying local drug distribution in coronary artery walls. Toward this end, a three dimensional mathematical model of coupled transport of drug and drug-encapsulated nanoparticles was developed and solved numerically by applying finite element based isogeometric analysis that uses NURBS-based techniques to describe the artery wall geometry. To gain insight into the parametric sensitivity of drug distribution, a study of the effect of Damkohler number and Peclet number was carried out. The tool was then applied to a three-dimensional idealized multilayered model of the coronary artery wall under healthy and diseased condition. Preliminary results indicated that use of realistic geometry is essential in creating physiological flow features and transport forces necessary for developing catheter-based drug delivery design procedures. Hence, simulations were run on a patient-specific coronary artery wall segment with a typical atherosclerotic plaque characterized by a lipid pool encased by a thin fibrous cap. Results show that plaque heterogeneity and artery wall inhomogeneity have a considerable effect on drug distribution. The computational tool-set developed was able to successfully capture trends observed in local drug delivery by incorporating a multitude of relevant physiological phenomena, and thus demonstrated its potential utility in optimizing drug design parameters including delivery location, nanoparticle surface properties and drug release rate. / text

A cancer drug's effectiveness is contingent upon on its ability to reach all parts of the tumor. The distribution of drug in the tumor depends on several transport processes and depends on the physicochemical properties of the drug. These factors can lead to highly heterogeneous distributions of drug in the tumor interstitial space, leaving parts of the tumor unreached, and make it difficult to predict cellular exposure and understand its dependence on key system parameters. Theoretical models are powerful tools that can provide insight by simulating conditions that cannot be achieved or observed experimentally. Here, a Green's function method is utilized to simulate three-dimensional time-dependent diffusion and uptake of drugs in solid tumors with realistic vascular geometry. Regimes dependent on the time scales for transport are used to determine whether spatial and temporal effects must be resolved to predict cellular exposure. Simulations are performed to show the relationship between the plasma pharmacokinetics and cellular exposure for these regimes. Steep gradients in concentration arise when time scales for diffusion and uptake are comparable, implying that models based on well mixed compartments are inaccurate. Effects of linear and nonlinear kinetics of drug uptake on cellular exposure are demonstrated. The drug doxorubicin is commonly used against solid tumors. Cellular exposure to doxorubicin is complicated in vivo by its transport and physicochemical properties. The Green's function method is used to describe the in vivo transport and kinetics of doxorubicin, using parameters derived from in vitro results. Simulations show agreement with observed in vivo distributions of doxorubicin in tumor tissue as well as in vitro kinetics, and provide a link between the two types of experimental observations. The method is applied to the class of cancer drugs called antibody-drug conjugates (ADCs) which consist of a humanized antibody conjugated to extremely toxic small molecular weight drugs. ADCs exhibit complex in vivo kinetics dependent on many design parameters. A phenomenon exhibited by ADCs is the bystander effect, i.e. non-targeted cell killing, which is difficult to analyze based on in vivo observations. Simulations results agree with the observed in vivo distribution of ADCs in tumor tissue and with experimentally observed bystander effects. In summary, the the models presented here provide a novel approach for simulating the complex transport and cellular uptake kinetics exhibited by several cancer drugs. The models give a mechanistic basis for predicting cellular exposure to drugs which can aid, explain, and direct experimental approaches for improving cancer treatment.

P-glycoprotein (Pgp, ABCB1) is a polyspecific efflux transporter implicated in multidrug resistance in human cancers. In this study, tetramethylrhodamine-5-carbonyl azide (AzTMR) was covalently crosslinked to the Pgp drug binding pocket with a stoichiometry of 1. The Pgp-AzTMR adduct was functionally equivalent to unlabelled Pgp and retained its ability to transport Hoechst 33342. The binding site of AzTMR in Pgp was nonpolar, with a similar environment to that of propanol. Pgp-AzTMR could bind a second drug molecule, with a higher affinity for H-site drugs and lower affinity for other R-site drugs. Unlabelled Pgp interacted with dimeric versions of known Pgp modulators, binding them with higher affinity than the monomer. These compounds were also found to either stimulate or inhibit Pgp ATPase activity depending on the concentration. Pgp-AzTMR was able to bind dimeric drugs, indicating that 3 substrate moieties can fit into the binding pocket. / The Canadian Cancer Society

Introduction: The aim of this study was to evaluate the role of genetic and lifestyle factors in the risk of onset and progression of colorectal and pancreatic cancer. The first part deals with the etiological factors and the importance of polymorphisms in biotransformation enzymes and genetic alterations in the gene CHEK2 in the origin of these malignancies. In the second part, the ABC transporter genes were analyzed as potential prognostic and predictive markers of a treatment's outcome. Materials and methods: The polymorphisms and other genetic alterations were detected using real-time PCR, allelespecific PCR and PCR-RFLP methods in DNA which was extracted from the blood of patients. The frequency of polymorphisms was evaluated and their importance was assessed with regard to the available epidemiological data. Gene expressions were determined by qPCR in paired samples of tumor tissue and adjacent non-tumorous parenchyma. Results: A majority of the observed polymorphisms failed to show a relationship between their presence and the risk of any of these malignancies. CYP2A13 variant allele*7 coding inactive enzyme was found in 7 of 265 controls and in none of 235 pancreatic carcinoma patients. In contrast, GSTP1-codon 105 Val variant allele and GSTT1-null genotype were associated with an elevated...

Introduction: The aim of this study was to evaluate the role of genetic and lifestyle factors in the risk of onset and progression of colorectal and pancreatic cancer. The first part deals with the etiological factors and the importance of polymorphisms in biotransformation enzymes and genetic alterations in the gene CHEK2 in the origin of these malignancies. In the second part, the ABC transporter genes were analyzed as potential prognostic and predictive markers of a treatment's outcome. Materials and methods: The polymorphisms and other genetic alterations were detected using real-time PCR, allelespecific PCR and PCR-RFLP methods in DNA which was extracted from the blood of patients. The frequency of polymorphisms was evaluated and their importance was assessed with regard to the available epidemiological data. Gene expressions were determined by qPCR in paired samples of tumor tissue and adjacent non-tumorous parenchyma. Results: A majority of the observed polymorphisms failed to show a relationship between their presence and the risk of any of these malignancies. CYP2A13 variant allele*7 coding inactive enzyme was found in 7 of 265 controls and in none of 235 pancreatic carcinoma patients. In contrast, GSTP1-codon 105 Val variant allele and GSTT1-null genotype were associated with an elevated...

Background The Breast Cancer Resistance Protein (BCRP) drug transporter is important for drug disposition and plays a critical role in regulating drug entry into the brain. Its substrate spectrum overlaps with substrates of Multi Drug Resistance Protein 1 (MDR1, P-gp), which influences and complicates the interpretation of data on drug distribution into tissues (e.g. brain). Distinguishing BCRP mediated transport from the transport by the MDR1 is often problematic. However, with new in vitro tools, this is now possible. In this project, two drug compounds, i.e. Dantrolene and Ritonavir, were investigated using these new in vitro models. The results from the experimental in vitro assay were matched with molecular dynamics (MD) simulations. Using coarse-grained (CG) simulations, a model of the BCRP transporter in a lipid bilayer was built, this model is based on the human BCRP structure revealed by Taylor et al (2017). Simulations were run for Dantrolene (a known substrate of BCRP) independently three times, and another with Ritonavir (a non-substrate) three times. Aim To determine substrate specificity for the BCRP transporter for two compounds, and to construct a CG model of BCRP transporter to see whether in silico methods can be used as an alternative for assessing substrate specificity.  Methods Madin-Darby canine kidney (MDCK) II cell line with no endogenous canine MDR1 (cMDR1) expression (MDCKcMDR1-KO), overexpressing human MDR1 (hMDR1) (MDCK-hMDR1cMDR1-KO) and stable expression of human BCRP (hBCRP) (MDCK-hBCRPcMDR1-KO) cells were cultured and used in Transwell experiments. Samples were analyzed using LC-MS/MS to determine the substrate concentrations. Apparent permeability and efflux ratio was calculated and evaluated.  MD simulations used the Martini 3 CG force field, and were run with Gromacs (version 2020.4). Tools including MODELLER, INSANE and others were used to construct the initial model (Webster, 2000; Wassenaar et al., 2015), for parameterization of substrate and non-substrate molecules. And visual inspection was done with the visual molecular dynamics (VMD) program and PyMOL. Results In vitro transport experiment confirmed that Dantrolene is a BCRP specific substrate, and Ritonavir is MDR1 specific substrate. Following simulations of these two compounds, Dantrolene is observed to stay in the transmembrane domains (TMD) for a certain period (on average several hundreds of nanoseconds), while Ritonavir is not found to bind in the TMD, which provides a proof of concept for future studies.