51
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Melanin targeting for intracellular drug delivery: Quantification of bound and free drug in retinal pigment epithelial cells. J Control Release 2018; 283:261-268. [DOI: 10.1016/j.jconrel.2018.05.034] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Revised: 05/26/2018] [Accepted: 05/29/2018] [Indexed: 12/17/2022]
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Volpe DA, Qosa H. Challenges with the precise prediction of ABC-transporter interactions for improved drug discovery. Expert Opin Drug Discov 2018; 13:697-707. [PMID: 29943645 DOI: 10.1080/17460441.2018.1493454] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Given that membrane efflux transporters can influence a drug's pharmacokinetics, efficacy and safety, identifying potential substrates and inhibitors of these transporters is a critical element in the drug discovery and development process. Additionally, it is important to predict the inhibition potential of new drugs to avoid clinically significant drug interactions. The goal of preclinical studies is to characterize a new drug as a substrate or inhibitor of efflux transporters. Areas covered: This article reviews preclinical systems that are routinely utilized to determine whether a new drug is substrate or inhibitor of efflux transporters including in silico models, in vitro membrane and cell assays, and animal models. Also included is an examination of studies comparing in vitro inhibition data to clinical drug interaction outcomes. Expert opinion: While a number of models are employed to classify a drug as an efflux substrate or inhibitor, there are challenges in predicting clinical drug interactions. Improvements could be made in these predictions through a tier approach to classify new drugs, validation of preclinical assays, and refinement of threshold criteria for clinical interaction studies.
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Affiliation(s)
- Donna A Volpe
- a Office of Clinical Pharmacology, Center for Drug Evaluation and Research , Food and Drug Administration , Silver Spring , MD , USA
| | - Hisham Qosa
- a Office of Clinical Pharmacology, Center for Drug Evaluation and Research , Food and Drug Administration , Silver Spring , MD , USA
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53
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Treyer A, Mateus A, Wiśniewski JR, Boriss H, Matsson P, Artursson P. Intracellular Drug Bioavailability: Effect of Neutral Lipids and Phospholipids. Mol Pharm 2018; 15:2224-2233. [DOI: 10.1021/acs.molpharmaceut.8b00064] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Andrea Treyer
- Department of Pharmacy, Uppsala University, Uppsala 75123, Sweden
| | - André Mateus
- Department of Pharmacy, Uppsala University, Uppsala 75123, Sweden
| | - Jacek R Wiśniewski
- Biochemical Proteomics Group, Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried 82152, Germany
| | | | - Pär Matsson
- Department of Pharmacy, Uppsala University, Uppsala 75123, Sweden
| | - Per Artursson
- Department of Pharmacy, Uppsala University, Uppsala 75123, Sweden
- Science for Life Laboratory Drug Discovery and Development Platform (SciLifelab DDD-P), Uppsala 75123, Sweden
- Uppsala University Drug Optimization and Pharmaceutical Profiling Platform (UDOPP), Uppsala University, Uppsala 75123, Sweden
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54
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Sawyer TK, Partridge AW, Kaan HYK, Juang YC, Lim S, Johannes C, Yuen TY, Verma C, Kannan S, Aronica P, Tan YS, Sherborne B, Ha S, Hochman J, Chen S, Surdi L, Peier A, Sauvagnat B, Dandliker PJ, Brown CJ, Ng S, Ferrer F, Lane DP. Macrocyclic α helical peptide therapeutic modality: A perspective of learnings and challenges. Bioorg Med Chem 2018; 26:2807-2815. [PMID: 29598901 DOI: 10.1016/j.bmc.2018.03.008] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2018] [Revised: 03/03/2018] [Accepted: 03/06/2018] [Indexed: 12/20/2022]
Abstract
Macrocyclic α-helical peptides have emerged as a compelling new therapeutic modality to tackle targets confined to the intracellular compartment. Within the scope of hydrocarbon-stapling there has been significant progress to date, including the first stapled α-helical peptide to enter into clinical trials. The principal design concept of stapled α-helical peptides is to mimic a cognate (protein) ligand relative to binding its target via an α-helical interface. However, it was the proclivity of such stapled α-helical peptides to exhibit cell permeability and proteolytic stability that underscored their promise as unique macrocyclic peptide drugs for intracellular targets. This perspective highlights key learnings as well as challenges in basic research with respect to structure-based design, innovative chemistry, cell permeability and proteolytic stability that are essential to fulfill the promise of stapled α-helical peptide drug development.
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Yu A, Lv J, Yuan F, Xia Z, Fan K, Chen G, Ren J, Lin C, Wei S, Yang F. mPEG-PLA/TPGS mixed micelles via intranasal administration improved the bioavailability of lamotrigine in the hippocampus. Int J Nanomedicine 2017; 12:8353-8362. [PMID: 29200847 PMCID: PMC5701607 DOI: 10.2147/ijn.s145488] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Purpose This study aimed to develop a novel methoxy poly(ethylene glycol)-poly(lactide) (mPEG-PLA)/D-α-tocopherol polyethylene glycol 1000 succinate (TPGS) mixed micelle drug delivery system to improve lamotrigine (LTG) distribution in the hippocampus. Methods LTG-loaded mPEG-PLA/TPGS mixed micelles and LTG-loaded mPEG-PLA micelles were formulated, and their characteristics, particle size, surface morphology, and release behavior in vitro were researched. Then, a microdialysis sampling technique coupled with two validated chromatographic systems was developed for the continuous measurement of the protein-unbound form of LTG in the rat plasma and hippocampus after administering two kinds of micelles and LTG solution intranasally. Results The drug loading and mean size of LTG-loaded micelles and LTG-loaded mixed micelles prepared with optimal formulation were 36.44%±0.14%, 39.28%±0.26%, 122.9, and 183.5 nm, respectively, with a core–shell structure. The cumulative release rate in vivo of LTG-loaded mixed micelles was 84.21% at 24 hours and showed more sustained release while that of LTG-loaded micelles was 80.61% at 6 hours. The Tmax and area under concentration-time curve from zero to time of last quantifiable concentration of LTG solution, LTG-loaded micelles, and LTG-loaded mixed micelles were 55, 35, and 15 minutes and about 5,384, 16,500, and 25,245 (min⋅μg)/L in the hippocampus, respectively. Conclusion The results revealed that LTG-loaded mPEG-PLA/TPGS mixed micelles enhanced the absorption of LTG at the nasal cavity and reduced the efflux of LTG in the brain, suggesting that the function of TPGS inhibited P-glycoprotein and LTG-loaded mPEG-PLA/TPGS mixed micelles had the potential to overcome refractory epilepsy.
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Affiliation(s)
| | | | | | | | | | - Gang Chen
- Department of Pharmaceutics.,Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | | | | | - Shijie Wei
- Department of Pharmaceutics.,Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Fan Yang
- Department of Pharmaceutics.,Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
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Newman CF, Havelund R, Passarelli MK, Marshall PS, Francis I, West A, Alexander MR, Gilmore IS, Dollery CT. Intracellular Drug Uptake-A Comparison of Single Cell Measurements Using ToF-SIMS Imaging and Quantification from Cell Populations with LC/MS/MS. Anal Chem 2017; 89:11944-11953. [PMID: 29039651 DOI: 10.1021/acs.analchem.7b01436] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
ToF-SIMS is a label-free imaging method that has been shown to enable imaging of amiodarone in single rat macrophage (NR8383) cells. In this study, we show that the method extends to three other cell lines relevant to drug discovery: human embryonic kidney (HEK293), cervical cancer (HeLa), and liver cancer (HepG2). There is significant interest in the variation of drug uptake at the single cell level, and we use ToF-SIMS to show that there is great diversity between individual cells and when comparing each of the cell types. These single cell measurements are compared to quantitative measurements of cell-associated amiodarone for the population using LC/MS/MS and cell counting with flow cytometry. NR8383 and HepG2 cells uptake the greatest amount of amiodarone with an average of 2.38 and 2.60 pg per cell, respectively, and HeLa and Hek 293 have a significantly lower amount of amiodarone at 0.43 and 0.36 pg per cell, respectively. The amount of cell-associated drug for the ensemble population measurement (LC/MS/MS) is compared with the ToF-SIMS single cell data: a similar amount of drug was detected per cell for the NR8383, and HepG2 cells at a greater level than that for the HEK293 cells. However, the two techniques did not agree for the HeLa cells, and we postulate potential reasons for this.
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Affiliation(s)
- Carla F Newman
- GlaxoSmithKline , Stevenage SG1 2NY, United Kingdom.,Division of Advanced Materials and Healthcare Technologies, School of Pharmacy, University of Nottingham , University Park, Nottingham NG7 2RD, United Kingdom
| | - Rasmus Havelund
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory (NPL) , Teddington, Middlesex TW11 0LW, United Kingdom
| | - Melissa K Passarelli
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory (NPL) , Teddington, Middlesex TW11 0LW, United Kingdom
| | | | - Ian Francis
- GlaxoSmithKline , Stevenage SG1 2NY, United Kingdom
| | - Andy West
- GlaxoSmithKline , Stevenage SG1 2NY, United Kingdom
| | - Morgan R Alexander
- Division of Advanced Materials and Healthcare Technologies, School of Pharmacy, University of Nottingham , University Park, Nottingham NG7 2RD, United Kingdom
| | - Ian S Gilmore
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory (NPL) , Teddington, Middlesex TW11 0LW, United Kingdom
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Sharma A. Chemoresistance in cancer cells: exosomes as potential regulators of therapeutic tumor heterogeneity. Nanomedicine (Lond) 2017; 12:2137-2148. [DOI: 10.2217/nnm-2017-0184] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Drug resistance in cancer cells remains a fundamental challenge. Be it nontargeted or targeted drugs, the presence of intrinsic or acquired cancer cell resistance remains a great obstacle in chemotherapy. Conventionally, a spectrum of cellular mechanisms defines drug resistance including overexpression of antiapoptotic proteins and drug efflux pumps, mutations in target and synergistic activation of prosurvival pathways in tumor cells. In addition to these well-studied routes, exosome-induced chemoresistance is emerging as a novel mechanism. Mechanistically, exosomes impart resistance by direct drug export, transport of drug efflux pumps and miRNAs exchange among cells. Moreover, exosome signaling creates ‘therapeutic tumor heterogeneity’ and favorably condition tumor microenvironment. Here, we discuss exosomes’ role in chemoresistance and possibilities of developing novel therapeutic strategies.
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Affiliation(s)
- Aman Sharma
- ExoCan Healthcare Technologies Pvt Ltd, L4, 400 NCL Innovation Park, Dr Homi Bhabha Road, Pune 411008, India
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Prediction of intracellular exposure bridges the gap between target- and cell-based drug discovery. Proc Natl Acad Sci U S A 2017; 114:E6231-E6239. [PMID: 28701380 DOI: 10.1073/pnas.1701848114] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Inadequate target exposure is a major cause of high attrition in drug discovery. Here, we show that a label-free method for quantifying the intracellular bioavailability (Fic) of drug molecules predicts drug access to intracellular targets and hence, pharmacological effect. We determined Fic in multiple cellular assays and cell types representing different targets from a number of therapeutic areas, including cancer, inflammation, and dementia. Both cytosolic targets and targets localized in subcellular compartments were investigated. Fic gives insights on membrane-permeable compounds in terms of cellular potency and intracellular target engagement, compared with biochemical potency measurements alone. Knowledge of the amount of drug that is locally available to bind intracellular targets provides a powerful tool for compound selection in early drug discovery.
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Pedersen JM, Khan EK, Bergström CAS, Palm J, Hoogstraate J, Artursson P. Substrate and method dependent inhibition of three ABC-transporters (MDR1, BCRP, and MRP2). Eur J Pharm Sci 2017; 103:70-76. [PMID: 28263911 DOI: 10.1016/j.ejps.2017.03.002] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2016] [Revised: 02/28/2017] [Accepted: 03/01/2017] [Indexed: 12/21/2022]
Abstract
Drug transport and drug-drug interactions (DDI) with human ABC transporters are generally investigated in mammalian cell lines or inverted membrane vesicles from insect cells (Sf9) overexpressing the transporter of interest. In this study, we instead used membrane vesicles from human embryonic kidney cells (HEK293) overexpressing wild type MDR1/Pgp (ABCB1), BCRP (ABCG2), and MRP2 (ABCC2) with the aim to study the concentration dependent inhibition of shared and prototypic probe substrates. We first investigated 15 substrates and identified estrone-17-beta-glucorinide (E17G) as shared substrate. Nine specific and general inhibitors were then studied using E17G and prototypic probe substrates. The results were compared with those previously obtained in Sf9 vesicles and cell lines of canine (MDCKII) and human (Saos-2) origin. For the majority of inhibitors, Ki values differed <10-fold between E17G and probe substrates. Significant differences in Ki values were observed for about one third of the inhibitors. The transport inhibition potencies in HEK293 vesicles were in good agreement with those obtained in Sf9 vesicles. Large differences were found in the inhibition potencies observed in the vesicular systems compared to the cellular systems. Nevertheless, the rank order correlations between the different experimental systems were generally good. Our study provides further information on substrate dependent inhibition of ABC-transporters, and suggests that simple ranking of compounds can be used as a tier one approach to bridge results obtained in different experimental systems.
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Affiliation(s)
| | - Elin K Khan
- Department of Pharmacy, Uppsala Univeristy, Uppsala, Sweden
| | | | - Johan Palm
- Pharmaceutical Technology and Development, AstraZeneca R&D Gothenburg, SE-43183 Mölndal, Sweden
| | - Janet Hoogstraate
- CNS and Pain Innovative Medicines DMPK, AstraZeneca R&D, Södertälje, Sweden
| | - Per Artursson
- Department of Pharmacy and Uppsala University Drug Optimization and Pharmaceutical Profiling Platform, Chemical Biology Consortium, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
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