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Ozbek O, Genc DE, O. Ulgen K. Advances in Physiologically Based Pharmacokinetic (PBPK) Modeling of Nanomaterials. ACS Pharmacol Transl Sci 2024; 7:2251-2279. [PMID: 39144562 PMCID: PMC11320736 DOI: 10.1021/acsptsci.4c00250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 06/21/2024] [Accepted: 06/26/2024] [Indexed: 08/16/2024]
Abstract
Nanoparticles (NPs) have been widely used to improve the pharmacokinetic properties and tissue distribution of small molecules such as targeting to a specific tissue of interest, enhancing their systemic circulation, and enlarging their therapeutic properties. NPs have unique and complicated in vivo disposition properties compared to small molecule drugs due to their complex multifunctionality. Physiologically based pharmacokinetic (PBPK) modeling has been a powerful tool in the simulation of the absorption, distribution, metabolism, and elimination (ADME) characteristics of the materials, and it can be used in the characterization and prediction of the systemic disposition, toxicity, efficacy, and target exposure of various types of nanoparticles. In this review, recent advances in PBPK model applications related to the nanoparticles with unique properties, and dispositional features in the biological systems, ADME characteristics, the description of transport processes of nanoparticles in the PBPK model, and the challenges in PBPK model development of nanoparticles are delineated and juxtaposed with those encountered in small molecule models. Nanoparticle related, non-nanoparticle-related, and interspecies-scaling methods applied in PBPK modeling are reviewed. In vitro to in vivo extrapolation (IVIVE) methods being a promising computational tool to provide in vivo predictions from the results of in vitro and in silico studies are discussed. Finally, as a recent advancement ML/AI-based approaches and challenges in PBPK modeling in the estimation of ADME parameters and pharmacokinetic (PK) analysis results are introduced.
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Affiliation(s)
- Ozlem Ozbek
- Chemical Engineering Department, Bogazici University, Bebek 34342 Istanbul, Turkey
| | - Destina Ekingen Genc
- Chemical Engineering Department, Bogazici University, Bebek 34342 Istanbul, Turkey
| | - Kutlu O. Ulgen
- Chemical Engineering Department, Bogazici University, Bebek 34342 Istanbul, Turkey
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Cao X, Li K, Wang J, Xie X, Sun L. PBPK model of pegylated liposomal doxorubicin to simultaneously predict the concentration-time profile of encapsulated and free doxorubicin in tissues. Drug Deliv Transl Res 2024:10.1007/s13346-024-01680-0. [PMID: 39103592 DOI: 10.1007/s13346-024-01680-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/20/2024] [Indexed: 08/07/2024]
Abstract
The objective of this study was to develop a physiologically based pharmacokinetic (PBPK) model to predict the concentrations of encapsulated and free doxorubicin in plasma and tissues in mice after intravenous injection of PEGylated liposomes (Doxil®). The PBPK model used in this study contains liposomes and free doxorubicin disposition components. The free doxorubicin disposition component was used to simulate the disposition of free doxorubicin produced by mononuclear phagocyte system (MPS)-degrading liposomes. The liver, spleen, kidneys, and lungs contain an additional MPS subcompartment. These compartments are interconnected through blood and lymphatic circulation. The model was validated strictly by four doses of external observed plasma and tissue concentration-time profiles. The fold error (FE) values were almost all within threefold. The sensitivity analysis revealed that the MPS-related parameters greatly influenced the model. The predicted in vivo distribution characteristics of the doxorubicin liposomes and doxorubicin solution were consistent with the observed values. The PBPK model was established based on the physiological mechanism and parameters of practical significance that can be measured in vitro. Thus, it can be used to study the pharmacokinetic properties of liposomes. This study also provides a reference for the establishment of liposome PBPK model.
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Affiliation(s)
- Xuewei Cao
- Department of Pharmaceutics, School of Pharmacy, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, China
| | - Kejun Li
- China Medical University-The Queen's University of Belfast Joint College, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, China
| | - Jingyu Wang
- Department of Pharmaceutics, School of Pharmacy, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, China
| | - Xiaoqian Xie
- Department of Pharmaceutics, School of Pharmacy, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, China
| | - Le Sun
- Department of Pharmaceutics, School of Pharmacy, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, China.
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Azizah RN, Verheyen GR, Shkedy Z, Van Miert S. Overview of in vitro-in vivo extrapolation approaches for the risk assessment of nanomaterial toxicity. NANOIMPACT 2024; 35:100524. [PMID: 39059748 DOI: 10.1016/j.impact.2024.100524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 06/23/2024] [Accepted: 07/21/2024] [Indexed: 07/28/2024]
Abstract
Nanomaterials are increasingly used in many applications due to their enhanced properties. To ensure their safety for humans and the environment, nanomaterials need to be evaluated for their potential risk. The risk assessment analysis on the nanomaterials based on animal or in vivo studies is accompanied by several concerns, including animal welfare, time and cost needed for the studies. Therefore, incorporating in vitro studies in the risk assessment process is increasingly considered. To be able to analyze the potential risk of nanomaterial to human health, there are factors to take into account. Utilizing in vitro data in the risk assessment analysis requires methods that can be used to translate in vitro data to predict in vivo phenomena (in vitro-in vivo extrapolation (IVIVE) methods) to be incorporated, to obtain a more accurate result. Apart from the experiments and species conversion (for example, translation between the cell culture, animal and human), the challenge also includes the unique properties of nanomaterials that might cause them to behave differently compared to the same materials in a bulk form. This overview presents the IVIVE techniques that are developed to extrapolate pharmacokinetics data or doses. A brief example of the IVIVE methods for chemicals is provided, followed by a more detailed summary of available IVIVE methods applied to nanomaterials. The IVIVE techniques discussed include the comparison between in vitro and in vivo studies, methods to rene the dose metric or the in vitro models, allometric approach, mechanistic modeling, Multiple-Path Particle Dosimetry (MPPD), methods using organ burden data and also approaches that are currently being developed.
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Affiliation(s)
- Rahmasari Nur Azizah
- Thomas More University of Applied Sciences, Geel, Belgium; Data Science Institute, CenStat, I-BioStat, Hasselt University, Diepenbeek, Belgium.
| | | | - Ziv Shkedy
- Data Science Institute, CenStat, I-BioStat, Hasselt University, Diepenbeek, Belgium
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Sodipo BK, Kasim Mohammed Z. Advances in biodistribution of gold nanoparticles: the influence of size, surface charge, and route of administration. Biomed Mater 2024; 19:042010. [PMID: 38838693 DOI: 10.1088/1748-605x/ad5484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 06/05/2024] [Indexed: 06/07/2024]
Abstract
To improve the translational and clinical applications of gold nanoparticles (GNPs) in medicine there is a need for better understanding of physicochemical properties of the nanoparticles in relation to the systemic parameters andin-vivoperformance. This review presents the influence of physicochemical properties (surface charges and size) and route of administration on the biodistribution of GNPs. The role of protein corona (PC) (a unique biological identifier) as a barrier to biodistribution of GNPs, and the advances in engineered GNPs towards improving biodistribution are presented. Proteins can easily adsorb on charged (anionic and cationic) functionalized GNPs in circulation and shape the dynamics of their biodistribution. Non-ionic coatings such as PEG experience accelerated blood clearance (ABC) due to immunogenic response. While zwitterionic coatings provide stealth effects to formation of PC on the GNPs. GNPs with sizes less than 50 nm were found to circulate to several organs while the route of administration of the GNPs determines the serum protein that adsorbs on the nanoparticles.
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Affiliation(s)
- Bashiru K Sodipo
- Department of Physics, Kaduna State University, Kaduna, Nigeria
- Sabanci University Nanotechnology Research and Application Center (SUNUM), Istanbul, Turkey
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Tang W, Zhang X, Hong H, Chen J, Zhao Q, Wu F. Computational Nanotoxicology Models for Environmental Risk Assessment of Engineered Nanomaterials. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:155. [PMID: 38251120 PMCID: PMC10819018 DOI: 10.3390/nano14020155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 12/08/2023] [Accepted: 12/27/2023] [Indexed: 01/23/2024]
Abstract
Although engineered nanomaterials (ENMs) have tremendous potential to generate technological benefits in numerous sectors, uncertainty on the risks of ENMs for human health and the environment may impede the advancement of novel materials. Traditionally, the risks of ENMs can be evaluated by experimental methods such as environmental field monitoring and animal-based toxicity testing. However, it is time-consuming, expensive, and impractical to evaluate the risk of the increasingly large number of ENMs with the experimental methods. On the contrary, with the advancement of artificial intelligence and machine learning, in silico methods have recently received more attention in the risk assessment of ENMs. This review discusses the key progress of computational nanotoxicology models for assessing the risks of ENMs, including material flow analysis models, multimedia environmental models, physiologically based toxicokinetics models, quantitative nanostructure-activity relationships, and meta-analysis. Several challenges are identified and a perspective is provided regarding how the challenges can be addressed.
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Affiliation(s)
- Weihao Tang
- National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and Management, Institute of Eco-Environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, China
| | - Xuejiao Zhang
- National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and Management, Institute of Eco-Environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, China
- Key Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
| | - Huixiao Hong
- National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCTR Rd., Jefferson, AR 72079, USA
| | - Jingwen Chen
- Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), Dalian Key Laboratory on Chemicals Risk Control and Pollution Prevention Technology, School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
| | - Qing Zhao
- National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and Management, Institute of Eco-Environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, China
- Key Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
| | - Fengchang Wu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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Lancheros Porras KD, Alves IA, Novoa DMA. PBPK Modeling as an Alternative Method of Interspecies Extrapolation that Reduces the Use of Animals: A Systematic Review. Curr Med Chem 2024; 31:102-126. [PMID: 37031391 DOI: 10.2174/0929867330666230408201849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 01/03/2023] [Accepted: 02/03/2023] [Indexed: 04/10/2023]
Abstract
INTRODUCTION Physiologically based pharmacokinetic (PBPK) modeling is a computational approach that simulates the anatomical structure of the studied species and presents the organs and tissues as compartments interconnected by arterial and venous blood flows. AIM The aim of this systematic review was to analyze the published articles focused on the development of PBPK models for interspecies extrapolation in the disposition of drugs and health risk assessment, presenting to this modeling an alternative to reduce the use of animals. METHODS For this purpose, a systematic search was performed in PubMed using the following search terms: "PBPK" and "Interspecies extrapolation". The revision was performed according to PRISMA guidelines. RESULTS In the analysis of the articles, it was found that rats and mice are the most commonly used animal models in the PBPK models; however, most of the physiological and physicochemical information used in the reviewed studies were obtained from previous publications. Additionally, most of the PBPK models were developed to extrapolate pharmacokinetic parameters to humans and the main application of the models was for toxicity testing. CONCLUSION PBPK modeling is an alternative that allows the integration of in vitro and in silico data as well as parameters reported in the literature to predict the pharmacokinetics of chemical substances, reducing in large quantity the use of animals that are required in traditional studies.
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Chao FC, Manaia EB, Ponchel G, Hsieh CM. A physiologically-based pharmacokinetic model for predicting doxorubicin disposition in multiple tissue levels and quantitative toxicity assessment. Biomed Pharmacother 2023; 168:115636. [PMID: 37826938 DOI: 10.1016/j.biopha.2023.115636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 09/22/2023] [Accepted: 10/03/2023] [Indexed: 10/14/2023] Open
Abstract
Doxorubicin is a widely-used chemotherapeutic drug, however its high toxicity poses a significant challenge for its clinical use. To address this issue, a physiologically-based pharmacokinetic (PBPK) model was implemented to quantitatively assess doxorubicin toxicity at cellular scale. Due to its unique pharmacokinetic behavior (e.g. high volume of distribution and affinity to extra-plasma tissue compartments), we proposed a modified PBPK model structure and developed the model with multispecies extrapolation to compensate for the limitation of obtaining clinical tissue data. Our model predicted the disposition of doxorubicin in multiple tissues including clinical tissue data with an overall absolute average fold error (AAFE) of 2.12. The model's performance was further validated with 8 clinical datasets in combined with intracellular doxorubicin concentration with an average AAFE of 1.98. To assess the potential cellular toxicity, toxicity levels and area under curve (AUC) were defined for different dosing regimens in toxic and non-toxic scenarios. The cellular concentrations of doxorubicin in multiple organ sites associated with commonly observed adverse effects (AEs) were simulated and calculated the AUC for quantitative assessments. Our findings supported the clinical dosing regimen of 75 mg/m2 with a 21-day interval and suggest that slow infusion and separated single high doses may lower the risk of developing AEs from a cellular level, providing valuable insights for the risk assessment of doxorubicin chemotherapy. In conclusion, our work highlights the potential of PBPK modelling to provide quantitative assessments of cellular toxicity and supports the use of clinical dosing regimens to mitigate the risk of adverse effects.
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Affiliation(s)
- Fang-Ching Chao
- CNRS UMR 8612, Institut Galien Paris-Saclay, Université Paris-Saclay, Orsay 91400, France
| | - Eloísa Berbel Manaia
- CNRS UMR 8612, Institut Galien Paris-Saclay, Université Paris-Saclay, Orsay 91400, France
| | - Gilles Ponchel
- CNRS UMR 8612, Institut Galien Paris-Saclay, Université Paris-Saclay, Orsay 91400, France.
| | - Chien-Ming Hsieh
- School of Pharmacy, College of Pharmacy, Taipei Medical University, Taipei 11031, Taiwan; Ph.D. Program in Drug Discovery and Development Industry, College of Pharmacy, Taipei Medical University, Taipei 11031, Taiwan.
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Quiñones J, Miranda-Castro FC, Encinas-Basurto D, Ibarra J, Moran-Palacio EF, Zamora-Alvarez LA, Almada M. Gold Nanorods with Mesoporous Silica Shell: A Promising Platform for Cisplatin Delivery. MICROMACHINES 2023; 14:mi14051031. [PMID: 37241654 DOI: 10.3390/mi14051031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 05/07/2023] [Accepted: 05/07/2023] [Indexed: 05/28/2023]
Abstract
The versatile combination of metal nanoparticles with chemotherapy agents makes designing multifunctional drug delivery systems attractive. In this work, we reported cisplatin's encapsulation and release profile using a mesoporous silica-coated gold nanorods system. Gold nanorods were synthesized by an acidic seed-mediated method in the presence of cetyltrimethylammonium bromide surfactant, and the silica-coated state was obtained by modified Stöber method. The silica shell was modified first with 3-aminopropyltriethoxysilane and then with succinic anhydride to obtain carboxylates groups to improve cisplatin encapsulation. Gold nanorods with an aspect ratio of 3.2 and silica shell thickness of 14.74 nm were obtained, and infrared spectroscopy and ζ potential studies corroborated surface modification with carboxylates groups. On the other hand, cisplatin was encapsulated under optimal conditions with an efficiency of ~58%, and it was released in a controlled manner over 96 h. Furthermore, acidic pH promoted a faster release of 72% cisplatin encapsulated compared to 51% in neutral pH.
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Affiliation(s)
- Jaime Quiñones
- Posgrado en Nanotecnología, Departamento de Física, Universidad de Sonora, Unidad Regional Centro, Hermosillo 83000, Mexico
| | | | - David Encinas-Basurto
- Departamento de Física, Matemáticas e Ingeniería, Universidad de Sonora, Campus Navojoa, Navojoa 85880, Mexico
| | - Jaime Ibarra
- Departamento de Física, Matemáticas e Ingeniería, Universidad de Sonora, Campus Navojoa, Navojoa 85880, Mexico
| | - Edgar Felipe Moran-Palacio
- Departamento de Ciencias Químico-Biológicas y Agropecuarias, Universidad de Sonora, Lázaro Cárdenas 100, Colonia Francisco Villa, Navojoa 85880, Mexico
| | - Luis Alberto Zamora-Alvarez
- Departamento de Ciencias Químico-Biológicas y Agropecuarias, Universidad de Sonora, Lázaro Cárdenas 100, Colonia Francisco Villa, Navojoa 85880, Mexico
| | - Mario Almada
- Departamento de Ciencias Químico-Biológicas y Agropecuarias, Universidad de Sonora, Lázaro Cárdenas 100, Colonia Francisco Villa, Navojoa 85880, Mexico
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Minnema J, Vandebriel RJ, Boer K, Klerx W, De Jong WH, Delmaar CJE. Physiologically-Based Kinetic Modeling of Intravenously Administered Gold (Au) Nanoparticles. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2207326. [PMID: 36828794 DOI: 10.1002/smll.202207326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 01/27/2023] [Indexed: 05/25/2023]
Abstract
Physiologically-based kinetic (PBK) modeling is a valuable tool to understand the kinetics of nanoparticles (NPs) in vivo. However, estimating PBK parameters remains challenging and commonly requires animal studies. To develop predictive models to estimate PBK parameter values based on NP characteristics, a database containing PBK parameter values and corresponding NP characteristics is needed. As a first step toward this objective, this study estimates PBK parameters for gold NPs (AuNPs) and provides a comparison of two different NPs. Two animal experiments are conducted in which varying doses of AuNPs attached with polyethylene glycol (PEG) are administered intravenously to rats. The resulting Au concentrations are used to estimate PBK model parameters. The parameters are compared with PBK parameters previously estimated for poly(alkyl cyanoacrylate) NPs loaded with cabazitaxel and for LipImage 815. This study shows that a small initial database of PBK parameters collected for three NPs is already sufficient to formulate new hypotheses on NP characteristics that may be predictive of PBK parameter values. Further research should focus on developing a larger database and on developing quantitative models to predict PBK parameter values.
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Affiliation(s)
- Jordi Minnema
- Center for Safety of Substances and Products, National Institute for Public Health and the Environment - RIVM, Bilthoven, BA, 3720, The Netherlands
| | - Rob J Vandebriel
- Center for Health Protection, National Institute for Public Health and the Environment - RIVM, Bilthoven, BA, 3720, The Netherlands
| | - Karin Boer
- Center for Health Protection, National Institute for Public Health and the Environment - RIVM, Bilthoven, BA, 3720, The Netherlands
| | - Walther Klerx
- Center for Health Protection, National Institute for Public Health and the Environment - RIVM, Bilthoven, BA, 3720, The Netherlands
| | - Wim H De Jong
- Center for Health Protection, National Institute for Public Health and the Environment - RIVM, Bilthoven, BA, 3720, The Netherlands
| | - Christiaan J E Delmaar
- Center for Safety of Substances and Products, National Institute for Public Health and the Environment - RIVM, Bilthoven, BA, 3720, The Netherlands
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Xu K, Li S, Zhou Y, Gao X, Mei J, Liu Y. Application of Computing as a High-Practicability and -Efficiency Auxiliary Tool in Nanodrugs Discovery. Pharmaceutics 2023; 15:pharmaceutics15041064. [PMID: 37111551 PMCID: PMC10144056 DOI: 10.3390/pharmaceutics15041064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/17/2023] [Accepted: 03/22/2023] [Indexed: 03/28/2023] Open
Abstract
Research and development (R&D) of nanodrugs is a long, complex and uncertain process. Since the 1960s, computing has been used as an auxiliary tool in the field of drug discovery. Many cases have proven the practicability and efficiency of computing in drug discovery. Over the past decade, computing, especially model prediction and molecular simulation, has been gradually applied to nanodrug R&D, providing substantive solutions to many problems. Computing has made important contributions to promoting data-driven decision-making and reducing failure rates and time costs in discovery and development of nanodrugs. However, there are still a few articles to examine, and it is necessary to summarize the development of the research direction. In the review, we summarize application of computing in various stages of nanodrug R&D, including physicochemical properties and biological activities prediction, pharmacokinetics analysis, toxicological assessment and other related applications. Moreover, current challenges and future perspectives of the computing methods are also discussed, with a view to help computing become a high-practicability and -efficiency auxiliary tool in nanodrugs discovery and development.
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Affiliation(s)
- Ke Xu
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shilin Li
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yangkai Zhou
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xinglong Gao
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jie Mei
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ying Liu
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China
- GBA National Institute for Nanotechnology Innovation, Guangzhou 510700, China
- Correspondence: ; Tel.: +86-1082-545-526
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Kumar M, Kulkarni P, Liu S, Chemuturi N, Shah DK. Nanoparticle biodistribution coefficients: A quantitative approach for understanding the tissue distribution of nanoparticles. Adv Drug Deliv Rev 2023; 194:114708. [PMID: 36682420 DOI: 10.1016/j.addr.2023.114708] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 12/26/2022] [Accepted: 01/17/2023] [Indexed: 01/22/2023]
Abstract
The objective of this manuscript is to provide quantitative insights into the tissue distribution of nanoparticles. Published pharmacokinetics of nanoparticles in plasma, tumor and 13 different tissues of mice were collected from literature. A total of 2018 datasets were analyzed and biodistribution of graphene oxide, lipid, polymeric, silica, iron oxide and gold nanoparticles in different tissues was quantitatively characterized using Nanoparticle Biodistribution Coefficients (NBC). It was observed that typically after intravenous administration most of the nanoparticles are accumulated in the liver (NBC = 17.56 %ID/g) and spleen (NBC = 12.1 %ID/g), while other tissues received less than 5 %ID/g. NBC values for kidney, lungs, heart, bones, brain, stomach, intestine, pancreas, skin, muscle and tumor were found to be 3.1 %ID/g, 2.8 %ID/g, 1.8 %ID/g, 0.9 %ID/g, 0.3 %ID/g, 1.2 %ID/g, 1.8 %ID/g, 1.2 %ID/g, 1.0 %ID/g, 0.6 %ID/g and 3.4 %ID/g, respectively. Significant variability in nanoparticle distribution was observed in certain organs such as liver, spleen and lungs. A large fraction of this variability could be explained by accounting for the differences in nanoparticle physicochemical properties such as size and material. A critical overview of published nanoparticle physiologically-based pharmacokinetic (PBPK) models is provided, and limitations in our current knowledge about in vitro and in vivo pharmacokinetics of nanoparticles that restrict the development of robust PBPK models is also discussed. It is hypothesized that robust quantitative assessment of whole-body pharmacokinetics of nanoparticles and development of mathematical models that can predict their disposition can improve the probability of successful clinical translation of these modalities.
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Affiliation(s)
- Mokshada Kumar
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, United States
| | - Priyanka Kulkarni
- Drug Metabolism and Pharmacokinetics, R&D, Takeda Pharmaceuticals, Cambridge, MA, United States
| | - Shufang Liu
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, United States
| | - Nagendra Chemuturi
- Drug Metabolism and Pharmacokinetics, R&D, Takeda Pharmaceuticals, Cambridge, MA, United States.
| | - Dhaval K Shah
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, United States.
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Vasalou C, Harding J, Jones RDO, Hariparsad N, McGinnity DF. Interspecies evaluation of a physiologically based pharmacokinetic model to predict the biodistribution dynamics of dendritic nanoparticles. PLoS One 2023; 18:e0285798. [PMID: 37195991 DOI: 10.1371/journal.pone.0285798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 05/02/2023] [Indexed: 05/19/2023] Open
Abstract
The exposure of a dendritic nanoparticle and its conjugated active pharmaceutical ingredient (API) was determined in mouse, rat and dog, with the aim of investigating interspecies differences facilitating clinical translation. Plasma area under the curves (AUCs) were found to be dose proportional across species, while dose normalized concentration time course profiles in plasma, liver and spleen were superimposable in mouse, rat and dog. A physiologically based pharmacokinetic (PBPK) model, previously developed for mouse, was evaluated as a suitable framework to prospectively capture concentration dynamics in rat and dog. The PBPK model, parameterized either by considering species-specific physiology or using alternate scaling methods such as allometry, was shown to capture exposure profiles across species. A sensitivity analysis highlighted API systemic clearance as a key parameter influencing released API levels. The PBPK model was utilized to simulate human exposure profiles, which overlaid dose-normalized data from mouse, rat and dog. The consistency in measured interspecies exposures as well as the capability of the PBPK model to simulate observed dynamics support its use as a powerful translational tool.
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Affiliation(s)
- Christina Vasalou
- Oncology R&D, AstraZeneca, Boston, Massachusetts, United States of America
| | | | | | - Niresh Hariparsad
- Oncology R&D, AstraZeneca, Boston, Massachusetts, United States of America
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Lin Z, Aryal S, Cheng YH, Gesquiere AJ. Integration of In Vitro and In Vivo Models to Predict Cellular and Tissue Dosimetry of Nanomaterials Using Physiologically Based Pharmacokinetic Modeling. ACS NANO 2022; 16:19722-19754. [PMID: 36520546 PMCID: PMC9798869 DOI: 10.1021/acsnano.2c07312] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
Nanomaterials (NMs) have been increasingly used in a number of areas, including consumer products and nanomedicine. Target tissue dosimetry is important in the evaluation of safety, efficacy, and potential toxicity of NMs. Current evaluation of NM efficacy and safety involves the time-consuming collection of pharmacokinetic and toxicity data in animals and is usually completed one material at a time. This traditional approach no longer meets the demand of the explosive growth of NM-based products. There is an emerging need to develop methods that can help design safe and effective NMs in an efficient manner. In this review article, we critically evaluate existing studies on in vivo pharmacokinetic properties, in vitro cellular uptake and release and kinetic modeling, and whole-body physiologically based pharmacokinetic (PBPK) modeling studies of different NMs. Methods on how to simulate in vitro cellular uptake and release kinetics and how to extrapolate cellular and tissue dosimetry of NMs from in vitro to in vivo via PBPK modeling are discussed. We also share our perspectives on the current challenges and future directions of in vivo pharmacokinetic studies, in vitro cellular uptake and kinetic modeling, and whole-body PBPK modeling studies for NMs. Finally, we propose a nanomaterial in vitro to in vivo extrapolation via physiologically based pharmacokinetic modeling (Nano-IVIVE-PBPK) framework for high-throughput screening of target cellular and tissue dosimetry as well as potential toxicity of different NMs in order to meet the demand of efficient evaluation of the safety, efficacy, and potential toxicity of a rapidly increasing number of NM-based products.
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Affiliation(s)
- Zhoumeng Lin
- Department
of Environmental and Global Health, College of Public Health and Health
Professions, University of Florida, Gainesville, Florida 32610, United States
- Center
for
Environmental and Human Toxicology, University
of Florida, Gainesville, Florida 32608, United
States
| | - Santosh Aryal
- Department
of Pharmaceutical Sciences and Health Outcomes, The Ben and Maytee
Fisch College of Pharmacy, The University
of Texas at Tyler, Tyler, Texas 75799, United States
| | - Yi-Hsien Cheng
- Department
of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas 66506, United States
- Institute
of Computational Comparative Medicine, Kansas
State University, Manhattan, Kansas 66506, United States
| | - Andre J. Gesquiere
- Department
of Chemistry, College of Sciences, University
of Central Florida, Orlando, Florida 32816, United States
- NanoScience
Technology Center, University of Central
Florida, Orlando, Florida 32826, United States
- Department
of Materials Science and Engineering, College of Engineering,, University of Central Florida, Orlando, Florida 32816, United States
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14
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Gakis GP, Krikas A, Neofytou P, Tran L, Charitidis C. Modelling the biodistribution of inhaled gold nanoparticles in rats with interspecies extrapolation to humans. Toxicol Appl Pharmacol 2022; 457:116322. [PMID: 36414120 DOI: 10.1016/j.taap.2022.116322] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/16/2022] [Accepted: 11/17/2022] [Indexed: 11/21/2022]
Abstract
The increasing intentional and non-intentional exposure to nanoparticles (NPs) has raised the interest concerning their fate and biodistribution in the body of animals and humans after inhalation. In this context, Physiologically Based (pharmaco)Kinetic (PBK) modelling has emerged as an in silico approach that simulates the biodistribution kinetics of NPs in the body using mathematical equations. Due to restrictions in data availability, such models are first developed for rats or mice. In this work, we present the interspecies extrapolation of a PBK model initially developed for rats, in order to estimate the biodistribution of inhaled gold NPs (AuNPs) in humans. The extrapolation framework is validated by comparing the model results with experimental data from a clinical study performed on humans for inhaled AuNPs of two different sizes, namely 34 nm and 4 nm. The novelty of this work lies in the extrapolation of a PBK model for inhaled AuNPs to humans and comparison with clinical data. The extrapolated model is in good agreement with the experimental data, and provides insights for the mechanisms of inhaled AuNP translocation to the blood circulation, after inhalation. Finally, the biodistribution of the two sizes of AuNPs in the human body after 28 days post-exposure is estimated by the model and discussed.
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Affiliation(s)
- G P Gakis
- Research Lab of Advanced, Composite, Nano-Materials and Nanotechnology, Materials Science and Engineering Department, School of Chemical Engineering, National Technical University of Athens, Athens, Greece
| | - A Krikas
- Thermal Hydraulics and Multiphase Flow Laboratory, National Centre for Scientific Research "Demokritos", Athens, Greece
| | - P Neofytou
- Thermal Hydraulics and Multiphase Flow Laboratory, National Centre for Scientific Research "Demokritos", Athens, Greece
| | - L Tran
- Institute of Occupational Medicine, Edinburgh, UK
| | - C Charitidis
- Research Lab of Advanced, Composite, Nano-Materials and Nanotechnology, Materials Science and Engineering Department, School of Chemical Engineering, National Technical University of Athens, Athens, Greece.
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15
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Physiologically Based Pharmacokinetic Modeling of Nanoparticle Biodistribution: A Review of Existing Models, Simulation Software, and Data Analysis Tools. Int J Mol Sci 2022; 23:ijms232012560. [PMID: 36293410 PMCID: PMC9604366 DOI: 10.3390/ijms232012560] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 10/07/2022] [Accepted: 10/14/2022] [Indexed: 11/30/2022] Open
Abstract
Cancer treatment and pharmaceutical development require targeted treatment and less toxic therapeutic intervention to achieve real progress against this disease. In this scenario, nanomedicine emerged as a reliable tool to improve drug pharmacokinetics and to translate to the clinical biologics based on large molecules. However, the ability of our body to recognize foreign objects together with carrier transport heterogeneity derived from the combination of particle physical and chemical properties, payload and surface modification, make the designing of effective carriers very difficult. In this scenario, physiologically based pharmacokinetic modeling can help to design the particles and eventually predict their ability to reach the target and treat the tumor. This effort is performed by scientists with specific expertise and skills and familiarity with artificial intelligence tools such as advanced software that are not usually in the “cords” of traditional medical or material researchers. The goal of this review was to highlight the advantages that computational modeling could provide to nanomedicine and bring together scientists with different background by portraying in the most simple way the work of computational developers through the description of the tools that they use to predict nanoparticle transport and tumor targeting in our body.
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16
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Krikas A, Neofytou P, Gakis GP, Xiarchos I, Charitidis C, Tran L. Modeling of clearance, retention, and translocation of inhaled gold nanoparticles in rats. Inhal Toxicol 2022; 34:361-379. [PMID: 36053230 DOI: 10.1080/08958378.2022.2115592] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Objective: The increasing exposure to gold nanoparticles (AuNPs), due to their wide range of applications, has led to the need for thorough understanding of their biodistribution, following exposure. The objective of this paper is to develop a PBK model in order to study the clearance, retention and translocation of inhaled gold nanoparticles in rats, providing a basis for the understanding of the absorption, distribution, metabolism and elimination (ADME) mechanisms of AuNPs in various organs.Materials and methods: A rat PBK computational model was developed, connected to a detailed respiratory model, including the olfactory, tracheobronchial, and alveolar regions. This model was coupled with a Multiple Path Particle Dosimetry (MPPD) model to appropriately simulate the exposure to AuNPs. Three existing in vivo experimental datasets from scientific literature for the biodistribution of inhaled AuNPs for different AuNP sizes and exposure scenarios were utilized for model calibration and validation.Results and Discussion: The model was calibrated using two individual datasets for nose only inhaled and intratracheally instilled AuNPs, while an independent dataset for nose only inhaled AuNPs was used as external validation. The overall fitting over the three datasets was proved acceptable as shown by the relevant statistical metrics. The influence of several physiological parameters is also studied via a sensitivity analysis, providing useful insights into the mechanisms of NP pharmacokinetics. The key aspects of the inhaled AuNPs biodistribution are discussed, revealing the key mechanisms for the AuNPs absorption routes, the AuNP uptake by secondary organs and the influence of the AuNP size on the translocation from the lungs to blood circulation.Conclusions: The model results together with the model sensitivity analysis clarified the key mechanisms for the inhaled AuNPs biodistribution to secondary organs. It was observed that nose-only inhaled AuNPs of smaller size can enter the blood circulation through secondary routes, such as absorption through the gastrointestinal (GI) lumen, showing that such translocations should not be underestimated in biodistribution modelling. Finally, the computational framework presented in this study can be used as a basis for a more wide investigation of inhaled nanoparticles biodistribution, including interspecies extrapolation of the resulting PBK model for the inhalation and subsequent biodistribution of AuNPs in humans.
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Affiliation(s)
- A Krikas
- Thermal Hydraulics and Multiphase Flow Laboratory, National Centre for Scientific Research "Demokritos", Athens, Greece
| | - P Neofytou
- Thermal Hydraulics and Multiphase Flow Laboratory, National Centre for Scientific Research "Demokritos", Athens, Greece
| | - G P Gakis
- Research Lab of Advanced, Composite, Nano-Materials and Nanotechnology, Materials Science and Engineering Department, School of Chemical Engineering, National Technical University of Athens, Athens, Greece
| | - I Xiarchos
- Research Lab of Advanced, Composite, Nano-Materials and Nanotechnology, Materials Science and Engineering Department, School of Chemical Engineering, National Technical University of Athens, Athens, Greece
| | - C Charitidis
- Research Lab of Advanced, Composite, Nano-Materials and Nanotechnology, Materials Science and Engineering Department, School of Chemical Engineering, National Technical University of Athens, Athens, Greece
| | - L Tran
- Institute of Occupational Medicine, Edinburgh, UK
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17
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Alsmadi MM, Al-Nemrawi NK, Obaidat R, Abu Alkahsi AE, Korshed KM, Lahlouh IK. Insights into the mapping of green synthesis conditions for ZnO nanoparticles and their toxicokinetics. Nanomedicine (Lond) 2022; 17:1281-1303. [PMID: 36254841 DOI: 10.2217/nnm-2022-0092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Research on ZnO nanoparticles (NPs) has broad medical applications. However, the green synthesis of ZnO NPs involves a wide range of properties requiring optimization. ZnO NPs show toxicity at lower doses. This toxicity is a function of NP properties and pharmacokinetics. Moreover, NP toxicity and pharmacokinetics are affected by the species type and age of the animals tested. Physiologically based pharmacokinetic (PBPK) modeling offers a mechanistic platform to scrutinize the colligative effect of the interplay between these factors, which reduces the need for in vivo studies. This review provides a guide to choosing green synthesis conditions that result in minimal toxicity using a mechanistic tool, namely PBPK modeling.
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Affiliation(s)
- Mo'tasem M Alsmadi
- Department of Pharmaceutical Technology, Faculty of Pharmacy, Jordan University of Science & Technology, PO Box 3030, Irbid, 22110, Jordan
| | - Nusaiba K Al-Nemrawi
- Department of Pharmaceutical Technology, Faculty of Pharmacy, Jordan University of Science & Technology, PO Box 3030, Irbid, 22110, Jordan
| | - Rana Obaidat
- Department of Pharmaceutical Technology, Faculty of Pharmacy, Jordan University of Science & Technology, PO Box 3030, Irbid, 22110, Jordan
| | - Anwar E Abu Alkahsi
- Department of Pharmaceutical Technology, Faculty of Pharmacy, Jordan University of Science & Technology, PO Box 3030, Irbid, 22110, Jordan
| | - Khetam M Korshed
- Department of Pharmaceutical Technology, Faculty of Pharmacy, Jordan University of Science & Technology, PO Box 3030, Irbid, 22110, Jordan
| | - Ishraq K Lahlouh
- Department of Pharmaceutical Technology, Faculty of Pharmacy, Jordan University of Science & Technology, PO Box 3030, Irbid, 22110, Jordan
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18
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Chen J, Yuan M, Madison CA, Eitan S, Wang Y. Blood-brain barrier crossing using magnetic stimulated nanoparticles. J Control Release 2022; 345:557-571. [PMID: 35276300 DOI: 10.1016/j.jconrel.2022.03.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 02/22/2022] [Accepted: 03/03/2022] [Indexed: 11/15/2022]
Abstract
Due to the low permeability and high selectivity of the blood-brain barrier (BBB), existing brain therapeutic technologies are limited by the inefficient BBB crossing of conventional drugs. Magnetic nanoparticles (MNPs) have shown great potential as nano-carriers for efficient BBB crossing under the external static magnetic field (SMF). To quantify the impact of SMF on MNPs' in vivo dynamics towards BBB crossing, we developed a physiologically based pharmacokinetic (PBPK) model for intraperitoneal (IP) injected superparamagnetic iron oxide nanoparticles coated by gold and conjugated with poly (ethylene glycol) (PEG) (SPIO-Au-PEG NPs) in mice. Unlike most reported PBPK models that ignore brain permeability, we first obtained the brain permeabilities with and without SMF by determining the concentration of SPIO-Au-PEG NPs in the cerebral blood and brain tissue. This concentration in the brain was simulated by the advection-diffusion equations and was numerically solved in COMSOL Multiphysics. The results from the PBPK model after incorporating the brain permeability showed a good agreement (regression coefficient R2 = 0.848) with the in vivo results, verifying the capability of using the proposed PBPK model to predict the in vivo biodistribution of SPIO-Au-PEG NPs under the exposure to SMF. Furthermore, the in vivo results revealed that the distribution coefficient from blood to brain under the exposure to SMF (4.01%) is slightly better than the control group (3.68%). In addition, the modification of SPIO-Au-PEG NPs with insulin (SPIO-Au-PEG-insulin) showed an improvement of the brain bioavailability by 24.47% in comparison to the non-insulin group. With the SMF stimulation, the brain bioavailability of SPIO-Au-PEG-insulin was further improved by 3.91% compared to the group without SMF. The PBPK model and in vivo validation in this paper lay a solid foundation for future study on non-invasive targeted drug delivery to the brain.
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Affiliation(s)
- Jingfan Chen
- J. Mike Walker '66 Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843, United States of America
| | - Muzhaozi Yuan
- J. Mike Walker '66 Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843, United States of America
| | - Caitlin A Madison
- Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX 77843, United States of America
| | - Shoshana Eitan
- Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX 77843, United States of America.
| | - Ya Wang
- J. Mike Walker '66 Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843, United States of America; Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, United States of America; Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, United States of America.
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19
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Villa Nova M, Lin TP, Shanehsazzadeh S, Jain K, Ng SCY, Wacker R, Chichakly K, Wacker MG. Nanomedicine Ex Machina: Between Model-Informed Development and Artificial Intelligence. Front Digit Health 2022; 4:799341. [PMID: 35252958 PMCID: PMC8894322 DOI: 10.3389/fdgth.2022.799341] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 01/26/2022] [Indexed: 12/12/2022] Open
Abstract
Today, a growing number of computational aids and simulations are shaping model-informed drug development. Artificial intelligence, a family of self-learning algorithms, is only the latest emerging trend applied by academic researchers and the pharmaceutical industry. Nanomedicine successfully conquered several niche markets and offers a wide variety of innovative drug delivery strategies. Still, only a small number of patients benefit from these advanced treatments, and the number of data sources is very limited. As a consequence, “big data” approaches are not always feasible and smart combinations of human and artificial intelligence define the research landscape. These methodologies will potentially transform the future of nanomedicine and define new challenges and limitations of machine learning in their development. In our review, we present an overview of modeling and artificial intelligence applications in the development and manufacture of nanomedicines. Also, we elucidate the role of each method as a facilitator of breakthroughs and highlight important limitations.
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Affiliation(s)
- Mônica Villa Nova
- Department of Pharmacy, State University of Maringá, Maringá, Brazil
| | - Tzu Ping Lin
- Wacker Research Lab, Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Singapore
| | - Saeed Shanehsazzadeh
- Biological Resources Imaging Laboratory, Mark Wainwright Analytical Centre, UNSW Sydney, Sydney, NSW, Australia
| | - Kinjal Jain
- Wacker Research Lab, Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Singapore
| | - Samuel Cheng Yong Ng
- Wacker Research Lab, Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Singapore
| | | | | | - Matthias G. Wacker
- Wacker Research Lab, Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Singapore
- *Correspondence: Matthias G. Wacker
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20
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Zazo H, Colino CI, Gutiérrez-Millán C, Cordero AA, Bartneck M, Lanao JM. Physiologically Based Pharmacokinetic (PBPK) Model of Gold Nanoparticle-Based Drug Delivery System for Stavudine Biodistribution. Pharmaceutics 2022; 14:pharmaceutics14020406. [PMID: 35214138 PMCID: PMC8875329 DOI: 10.3390/pharmaceutics14020406] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 02/10/2022] [Accepted: 02/11/2022] [Indexed: 11/16/2022] Open
Abstract
Computational modelling has gained attention for evaluating nanoparticle-based drug delivery systems. Physiologically based pharmacokinetic (PBPK) modelling provides a mechanistic approach for evaluating drug biodistribution. The aim of this work is to develop a specific PBPK model to simulate stavudine biodistribution after the administration of a 40 nm gold nanoparticle-based drug delivery system in rats. The model parameters used have been obtained from literature, in vitro and in vivo studies, and computer optimization. Based on these, the PBPK model was built, and the compartments included were considered as permeability rate-limited tissues. In comparison with stavudine solution, a higher biodistribution of stavudine into HIV reservoirs and the modification of pharmacokinetic parameters such as the mean residence time (MRT) have been observed. These changes are particularly noteworthy in the liver, which presents a higher partition coefficient (from 0.27 to 0.55) and higher MRT (from 1.28 to 5.67 h). Simulated stavudine concentrations successfully describe these changes in the in vivo study results. The average fold error of predicted concentrations after the administration of stavudine-gold nanoparticles was within the 0.5–2-fold error in all of the tissues. Thus, this PBPK model approach may help with the pre-clinical extrapolation to other administration routes or the species of stavudine gold nanoparticles.
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Affiliation(s)
- Hinojal Zazo
- Area of Pharmacy and Pharmaceutical Technology, Faculty of Pharmacy, Avda Lcdo Méndez Nieto, 37007 Salamanca, Spain; (H.Z.); (C.G.-M.); (A.A.C.)
- Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain
| | - Clara I. Colino
- Area of Pharmacy and Pharmaceutical Technology, Faculty of Pharmacy, Avda Lcdo Méndez Nieto, 37007 Salamanca, Spain; (H.Z.); (C.G.-M.); (A.A.C.)
- Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain
- Correspondence: (C.I.C.); (J.M.L.); Tel.: +34-923-294-536 (C.I.C.)
| | - Carmen Gutiérrez-Millán
- Area of Pharmacy and Pharmaceutical Technology, Faculty of Pharmacy, Avda Lcdo Méndez Nieto, 37007 Salamanca, Spain; (H.Z.); (C.G.-M.); (A.A.C.)
- Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain
| | - Andres A. Cordero
- Area of Pharmacy and Pharmaceutical Technology, Faculty of Pharmacy, Avda Lcdo Méndez Nieto, 37007 Salamanca, Spain; (H.Z.); (C.G.-M.); (A.A.C.)
| | - Matthias Bartneck
- Department of Medicine III, Medical Faculty, RWTH Aachen, Pauwelsstr. 30, 52074 Aachen, Germany;
| | - José M. Lanao
- Area of Pharmacy and Pharmaceutical Technology, Faculty of Pharmacy, Avda Lcdo Méndez Nieto, 37007 Salamanca, Spain; (H.Z.); (C.G.-M.); (A.A.C.)
- Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain
- Correspondence: (C.I.C.); (J.M.L.); Tel.: +34-923-294-536 (C.I.C.)
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21
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Model-Based Assessment of the Contribution of Monocytes and Macrophages to the Pharmacokinetics of Monoclonal Antibodies. Pharm Res 2022; 39:239-250. [PMID: 35118567 DOI: 10.1007/s11095-022-03177-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 01/24/2022] [Indexed: 10/19/2022]
Abstract
PURPOSE We have hypothesized that a high concentration of circulating monocytes and macrophages may contribute to the fast weight-based clearance of monoclonal antibodies (mAbs) in young children. Exploring this hypothesis, this work uses modeling to clarify the role of monocytes and macrophages in the elimination of mAbs. METHODS Leveraging pre-clinical data from mice, a minimal physiologically-based pharmacokinetic model was developed to characterize mAb uptake and FcRn-mediated recycling in circulating monocytes, macrophages, and endothelial cells. The model characterized IgG disposition in complex scenarios of site-specific FcRn deletion and variable endogenous IgG levels. Evaluation was performed for predicting IgG disposition with co-administration of high dose IVIG. A one-at-a-time sensitivity analysis quantified the role of relevant cellular parameters on IgG elimination in various scenarios. RESULTS The plasma AUC of mAbs was highly sensitive to endothelial cell parameters, but had near-nil sensitivity to monocyte and macrophage parameters, even in scenarios with 90% loss of FcRn expression/activity. In mice with normal FcRn expression, simulations suggest that less than 2% of an IV dose is eliminated in macrophages, while endothelial cells are predicted to dominate mAb elimination. CONCLUSIONS The model suggests that the role of monocytes and macrophages in IgG homeostasis includes extensive uptake and highly efficient FcRn-mediated protection, but not appreciable degradation when FcRn is present. Therefore, it is very unlikely that a high concentration of circulating monocytes can contribute to explaining the fast weight-based clearance of mAbs in very young children, even if FcRn expression/activity was 90% lower in children than in adults.
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22
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Ramos TI, Villacis-Aguirre CA, López-Aguilar KV, Santiago Padilla L, Altamirano C, Toledo JR, Santiago Vispo N. The Hitchhiker's Guide to Human Therapeutic Nanoparticle Development. Pharmaceutics 2022; 14:247. [PMID: 35213980 PMCID: PMC8879439 DOI: 10.3390/pharmaceutics14020247] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 01/04/2022] [Accepted: 01/13/2022] [Indexed: 02/06/2023] Open
Abstract
Nanomedicine plays an essential role in developing new therapies through novel drug delivery systems, diagnostic and imaging systems, vaccine development, antibacterial tools, and high-throughput screening. One of the most promising drug delivery systems are nanoparticles, which can be designed with various compositions, sizes, shapes, and surface modifications. These nanosystems have improved therapeutic profiles, increased bioavailability, and reduced the toxicity of the product they carry. However, the clinical translation of nanomedicines requires a thorough understanding of their properties to avoid problems with the most questioned aspect of nanosystems: safety. The particular physicochemical properties of nano-drugs lead to the need for additional safety, quality, and efficacy testing. Consequently, challenges arise during the physicochemical characterization, the production process, in vitro characterization, in vivo characterization, and the clinical stages of development of these biopharmaceuticals. The lack of a specific regulatory framework for nanoformulations has caused significant gaps in the requirements needed to be successful during their approval, especially with tests that demonstrate their safety and efficacy. Researchers face many difficulties in establishing evidence to extrapolate results from one level of development to another, for example, from an in vitro demonstration phase to an in vivo demonstration phase. Additional guidance is required to cover the particularities of this type of product, as some challenges in the regulatory framework do not allow for an accurate assessment of NPs with sufficient evidence of clinical success. This work aims to identify current regulatory issues during the implementation of nanoparticle assays and describe the major challenges that researchers have faced when exposing a new formulation. We further reflect on the current regulatory standards required for the approval of these biopharmaceuticals and the requirements demanded by the regulatory agencies. Our work will provide helpful information to improve the success of nanomedicines by compiling the challenges described in the literature that support the development of this novel encapsulation system. We propose a step-by-step approach through the different stages of the development of nanoformulations, from their design to the clinical stage, exemplifying the different challenges and the measures taken by the regulatory agencies to respond to these challenges.
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Affiliation(s)
- Thelvia I. Ramos
- Laboratorio de Biotecnología y Biofármacos, Departamento de Fisiopatología, Facultad de Ciencias Biológicas, Universidad de Concepción, Víctor Lamas 1290, Concepción 4070386, Chile; (T.I.R.); (C.A.V.-A.)
- Grupo de Investigación en Sanidad Animal y Humana (GISAH), Carrera Ingeniería en Biotecnología, Departamento de Ciencias de la Vida y la Agricultura, Universidad de las Fuerzas Armadas—ESPE, Sangolquí 171103, Ecuador
| | - Carlos A. Villacis-Aguirre
- Laboratorio de Biotecnología y Biofármacos, Departamento de Fisiopatología, Facultad de Ciencias Biológicas, Universidad de Concepción, Víctor Lamas 1290, Concepción 4070386, Chile; (T.I.R.); (C.A.V.-A.)
| | - Katherine V. López-Aguilar
- Carrera Ingeniería en Biotecnología, Departamento de Ciencias de la Vida y la Agricultura, Universidad de las Fuerzas Armadas—ESPE, Sangolquí 171103, Ecuador;
| | | | - Claudia Altamirano
- Escuela de Ingeniería Bioquímica, Facultad de Ingeniería, Pontificia Universidad Católica de Valparaíso, Av. Brasil 2085, Valparaíso 2362803, Chile;
- Centro Regional de Estudios en Alimentos Saludables, Av. Universidad 330, Placilla, Sector Curauma, Valparaíso 2340000, Chile
| | - Jorge R. Toledo
- Laboratorio de Biotecnología y Biofármacos, Departamento de Fisiopatología, Facultad de Ciencias Biológicas, Universidad de Concepción, Víctor Lamas 1290, Concepción 4070386, Chile; (T.I.R.); (C.A.V.-A.)
| | - Nelson Santiago Vispo
- School of Biological Sciences and Engineering, Yachay Tech University, Hda. San José s/n y Proyecto Yachay, Urcuquí 100119, Ecuador
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23
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Ferreira-Gonçalves T, Ferreira D, Ferreira HA, Reis CP. Nanogold-based materials in medicine: from their origins to their future. Nanomedicine (Lond) 2021; 16:2695-2723. [PMID: 34879741 DOI: 10.2217/nnm-2021-0265] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
The properties of gold-based materials have been explored for centuries in several research fields, including medicine. Multiple published production methods for gold nanoparticles (AuNPs) have shown that the physicochemical and optical properties of AuNPs depend on the production method used. These different AuNP properties have allowed exploration of their usefulness in countless distinct biomedical applications over the last few years. Here we present an extensive overview of the most commonly used AuNP production methods, the resulting distinct properties of the AuNPs and the potential application of these AuNPs in diagnostic and therapeutic approaches in biomedicine.
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Affiliation(s)
- Tânia Ferreira-Gonçalves
- Research Institute for Medicines (iMed.ULisboa), Department of Pharmacy, Pharmacology and Health Technologies (DFFTS), Faculty of Pharmacy, Universidade de Lisboa, Av. Professor Gama Pinto, Lisboa, 1649-003, Portugal
| | - David Ferreira
- Comprehensive Health Research Centre (CHRC), Departamento de Desporto e Saúde, Escola de Saúde e Desenvolvimento Humano, Universidade de Évora, Largo dos Colegiais, Évora, 7000, Portugal
| | - Hugo A Ferreira
- Instituto de Biofísica e Engenharia Biomédica (IBEB), Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisboa, 1749-016, Portugal
| | - Catarina P Reis
- Research Institute for Medicines (iMed.ULisboa), Department of Pharmacy, Pharmacology and Health Technologies (DFFTS), Faculty of Pharmacy, Universidade de Lisboa, Av. Professor Gama Pinto, Lisboa, 1649-003, Portugal.,Instituto de Biofísica e Engenharia Biomédica (IBEB), Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisboa, 1749-016, Portugal
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24
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Granja A, Pinheiro M, Sousa CT, Reis S. Gold nanostructures as mediators of hyperthermia therapies in breast cancer. Biochem Pharmacol 2021; 190:114639. [PMID: 34077740 DOI: 10.1016/j.bcp.2021.114639] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 05/25/2021] [Accepted: 05/26/2021] [Indexed: 12/24/2022]
Abstract
Breast cancer is the leading cause of cancer-related deaths among women. Due to the limitations of the current therapeutics, new treatment options are needed. Hyperthermia is a promising approach to improve breast cancer therapy, particularly when combined with chemo and radiotherapy. This area has gained more attention following association with nanotechnology, with the emergence of modalities, such as photothermal therapy (PTT). PTT is a simple, minimally invasive technique that requires a near infrared (NIR) light source and a PTT agent. Gold nanostructures are excellent PTT agents as they offer biocompatibility, versatility, high photothermal conversion efficiency, imaging contrast and an easily-modified surface. In this review, we describe the molecular basis and the current clinical aspects of hyperthermia-based therapies. The emergent area of nanoparticle-induced hyperthermia will be explored, in particular gold nanostructure-mediated PTT, focusing on recent preclinical studies for breast cancer management.
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Affiliation(s)
- Andreia Granja
- LAQV, REQUIMTE, Departamento de Ciências Químicas, Faculdade de Farmácia, Universidade do Porto, Rua Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal
| | - Marina Pinheiro
- LAQV, REQUIMTE, Departamento de Ciências Químicas, Faculdade de Farmácia, Universidade do Porto, Rua Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal
| | - Célia T Sousa
- IFIMUP and Dep. Física e Astronomia, Faculdade de Ciências, Universidade do Porto, Rua Campo Alegre 687, 4169 - 007 Porto, Portugal
| | - Salette Reis
- LAQV, REQUIMTE, Departamento de Ciências Químicas, Faculdade de Farmácia, Universidade do Porto, Rua Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal.
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25
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Epigallocatechin-3-Gallate-Loaded Gold Nanoparticles: Preparation and Evaluation of Anticancer Efficacy in Ehrlich Tumor-Bearing Mice. Pharmaceuticals (Basel) 2020; 13:ph13090254. [PMID: 32961982 PMCID: PMC7559993 DOI: 10.3390/ph13090254] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 09/13/2020] [Accepted: 09/15/2020] [Indexed: 12/22/2022] Open
Abstract
Epigallocatechin-3-gallate (EGCG) is a pleiotropic compound with anticancer, anti-inflammatory, and antioxidant properties. To enhance EGCG anticancer efficacy, it was loaded onto gold nanoparticles (GNPs). EGCG-GNPs were prepared by a simple green synthesis method and were evaluated using different techniques. Hemocompatibility with human blood and in vivo anticancer efficacy in Ehrlich ascites carcinoma-bearing mice were evaluated. EGCG/gold chloride molar ratio had a marked effect on the formation and properties of EGCG-GNPs where well-dispersed spherical nanoparticles were obtained at a molar ratio not more than 0.8:1. The particle size ranged from ~26 to 610 nm. High drug encapsulation efficiency and loading capacity of ~93 and 32%, respectively were obtained. When stored at 4 °C for three months, EGCG-GNPs maintained over 90% of their drug payload and had small changes in their size and zeta potential. They were non-hemolytic and had no deleterious effects on partial thromboplastin time, prothrombin time, and complement protein C3 concentration. EGCG-GNPs had significantly better in vivo anticancer efficacy compared with pristine EGCG as evidenced by smaller tumor volume and weight and higher mice body weight. These results confirm that EGCG-GNPs could serve as an efficient delivery system for EGCG with a good potential to enhance its anticancer efficacy.
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26
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Utembe W, Clewell H, Sanabria N, Doganis P, Gulumian M. Current Approaches and Techniques in Physiologically Based Pharmacokinetic (PBPK) Modelling of Nanomaterials. NANOMATERIALS 2020; 10:nano10071267. [PMID: 32610468 PMCID: PMC7407857 DOI: 10.3390/nano10071267] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 06/03/2020] [Accepted: 06/13/2020] [Indexed: 02/08/2023]
Abstract
There have been efforts to develop physiologically based pharmacokinetic (PBPK) models for nanomaterials (NMs). Since NMs have quite different kinetic behaviors, the applicability of the approaches and techniques that are utilized in current PBPK models for NMs is warranted. Most PBPK models simulate a size-independent endocytosis from tissues or blood. In the lungs, dosimetry and the air-liquid interface (ALI) models have sometimes been used to estimate NM deposition and translocation into the circulatory system. In the gastrointestinal (GI) tract, kinetics data are needed for mechanistic understanding of NM behavior as well as their absorption through GI mucus and their subsequent hepatobiliary excretion into feces. Following absorption, permeability (Pt) and partition coefficients (PCs) are needed to simulate partitioning from the circulatory system into various organs. Furthermore, mechanistic modelling of organ- and species-specific NM corona formation is in its infancy. More recently, some PBPK models have included the mononuclear phagocyte system (MPS). Most notably, dissolution, a key elimination process for NMs, is only empirically added in some PBPK models. Nevertheless, despite the many challenges still present, there have been great advances in the development and application of PBPK models for hazard assessment and risk assessment of NMs.
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Affiliation(s)
- Wells Utembe
- National Institute for Occupational Health, P.O. Box 4788, Johannesburg 2000, South Africa; (W.U.); (N.S.)
| | - Harvey Clewell
- Ramboll US Corporation, Research Triangle Park, NC 27709, USA;
| | - Natasha Sanabria
- National Institute for Occupational Health, P.O. Box 4788, Johannesburg 2000, South Africa; (W.U.); (N.S.)
| | - Philip Doganis
- School of Chemical Engineering, National Technical University of Athens, Zografou Campus, 15780 Athens, Greece;
| | - Mary Gulumian
- National Institute for Occupational Health, P.O. Box 4788, Johannesburg 2000, South Africa; (W.U.); (N.S.)
- Hematology and Molecular Medicine, University of the Witwatersrand, Johannesburg 2000, South Africa
- Correspondence: ; Tel.: +27-11-712-6428
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27
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Valcourt DM, Kapadia CH, Scully MA, Dang MN, Day ES. Best Practices for Preclinical In Vivo Testing of Cancer Nanomedicines. Adv Healthc Mater 2020; 9:e2000110. [PMID: 32367687 PMCID: PMC7473451 DOI: 10.1002/adhm.202000110] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 03/17/2020] [Indexed: 01/06/2023]
Abstract
Significant advances have been made in the development of nanoparticles for cancer treatment in recent years. Despite promising results in preclinical animal models, cancer nanomedicines often fail in clinical trials. This failure rate could be reduced by defining stringent criteria for testing and quality control during the design and development stages, and by performing carefully planned preclinical studies in relevant animal models. This article discusses best practices for the evaluation of nanomedicines in murine tumor models. First, a recommended set of experiments to perform is introduced, including discussion of the types of data to collect during these studies. This is followed by an outline of various tumor models and their clinical relevance. Next, different routes of nanoparticle administration are overviewed, followed by a summary of important controls to include in in vivo studies of nanomedicine. Finally, animal welfare considerations are discussed, and an overview of the steps involved in achieving US Food and Drug Administration approval after animal studies are completed is provided. Researchers should use this report as a guideline for effective preclinical evaluation of cancer nanomedicine. As the community adopts best practices for in vivo testing, the rate of clinical translation of cancer nanomedicines is likely to improve.
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Affiliation(s)
- Danielle M Valcourt
- Department of Biomedical Engineering, University of Delaware, 161 Colburn Lab, Newark, DE, 19716, USA
| | - Chintan H Kapadia
- Department of Biomedical Engineering, University of Delaware, 161 Colburn Lab, Newark, DE, 19716, USA
| | - Mackenzie A Scully
- Department of Biomedical Engineering, University of Delaware, 161 Colburn Lab, Newark, DE, 19716, USA
| | - Megan N Dang
- Department of Biomedical Engineering, University of Delaware, 161 Colburn Lab, Newark, DE, 19716, USA
| | - Emily S Day
- Department of Biomedical Engineering, University of Delaware, 161 Colburn Lab, Newark, DE, 19716, USA
- Department of Materials Science & Engineering, University of Delaware, 201 DuPont Hall, Newark, DE, 19716, USA
- Helen F. Graham Cancer Center & Research Institute, 4701 Ogletown Stanton Road, Newark, DE, 19713, USA
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28
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Dogra P, Butner JD, Nizzero S, Ruiz Ramírez J, Noureddine A, Peláez MJ, Elganainy D, Yang Z, Le AD, Goel S, Leong HS, Koay EJ, Brinker CJ, Cristini V, Wang Z. Image-guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies. WILEY INTERDISCIPLINARY REVIEWS-NANOMEDICINE AND NANOBIOTECHNOLOGY 2020; 12:e1628. [PMID: 32314552 PMCID: PMC7507140 DOI: 10.1002/wnan.1628] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 02/06/2020] [Accepted: 02/15/2020] [Indexed: 12/13/2022]
Abstract
While plasma concentration kinetics has traditionally been the predictor of drug pharmacological effects, it can occasionally fail to represent kinetics at the site of action, particularly for solid tumors. This is especially true in the case of delivery of therapeutic macromolecules (drug-loaded nanomaterials or monoclonal antibodies), which can experience challenges to effective delivery due to particle size-dependent diffusion barriers at the target site. As a result, disparity between therapeutic plasma kinetics and kinetics at the site of action may exist, highlighting the importance of target site concentration kinetics in determining the pharmacodynamic effects of macromolecular therapeutic agents. Assessment of concentration kinetics at the target site has been facilitated by non-invasive in vivo imaging modalities. This allows for visualization and quantification of the whole-body disposition behavior of therapeutics that is essential for a comprehensive understanding of their pharmacokinetics and pharmacodynamics. Quantitative non-invasive imaging can also help guide the development and parameterization of mathematical models for descriptive and predictive purposes. Here, we present a review of the application of state-of-the-art imaging modalities for quantitative pharmacological evaluation of therapeutic nanoparticles and monoclonal antibodies, with a focus on their integration with mathematical models, and identify challenges and opportunities. This article is categorized under: Therapeutic Approaches and Drug Discovery > Nanomedicine for Oncologic Disease Diagnostic Tools > in vivo Nanodiagnostics and Imaging Nanotechnology Approaches to Biology > Nanoscale Systems in Biology.
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Affiliation(s)
- Prashant Dogra
- Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, Texas, USA
| | - Joseph D Butner
- Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, Texas, USA
| | - Sara Nizzero
- Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, Texas, USA
| | - Javier Ruiz Ramírez
- Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, Texas, USA
| | - Achraf Noureddine
- Department of Chemical and Biological Engineering, University of New Mexico, Albuquerque, New Mexico, USA
| | - María J Peláez
- Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, Texas, USA.,Applied Physics Graduate Program, Rice University, Houston, Texas, USA
| | - Dalia Elganainy
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Zhen Yang
- Center for Bioenergetics, Houston Methodist Research Institute, Houston, Texas, USA
| | - Anh-Dung Le
- Nanoscience and Microsystems Engineering, University of New Mexico, Albuquerque, New Mexico, USA
| | - Shreya Goel
- Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Hon S Leong
- Biological Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Eugene J Koay
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - C Jeffrey Brinker
- Department of Chemical and Biological Engineering and UNM Comprehensive Cancer Center, University of New Mexico, Albuquerque, New Mexico, USA
| | - Vittorio Cristini
- Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, Texas, USA
| | - Zhihui Wang
- Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, Texas, USA
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29
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Li Y, Jin Q, Ding P, Zhou W, Chai Y, Li X, Wang Y, Zhang G. Gold nanoparticles enhance immune responses in mice against recombinant classical swine fever virus E2 protein. Biotechnol Lett 2020; 42:1169-1180. [PMID: 32140883 DOI: 10.1007/s10529-020-02853-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 02/26/2020] [Indexed: 12/20/2022]
Abstract
OBJECTIVE To create a novel subunit vaccine that used AuNPs as carriers to enhance immune responses in mice against recombinant classical swine fever virus E2 protein (CSFV E2). RESULTS Gold nanoparticles (AuNPs) were successfully coupled to the E2 protein and formed stable particle complexes called E2 conjugated AuNPs (E2-AuNPs). In vitro studies have shown that the E2-AuNPs complex has the same immunogenicity as the E2 protein, and AuNPs can promote the phagocytosis of the E2 protein by antigen-presenting cells (APCs). In vivo results of BALB/c mice showed that the antibody levels, lymphocyte proliferation index, IFN-γ and IL-10 cytokines induced by E2-AuNPs were relatively higher than those of E2 or AuNPs group. CONCLUSIONS This finding demonstrated the potential of using AuNPs as a carrier to enhance the body's immune response for developing CSFV subunit vaccines. This model also contributes to the development of other flavivirus subunit vaccines, such as hepatitis C virus (HCV) and bovine viral diarrhea virus (BVDV).
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Affiliation(s)
- Yafei Li
- Henan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China
- College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, China
| | - Qianyue Jin
- Henan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, 225009, China
| | - Peiyang Ding
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Wen Zhou
- Henan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China
- College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, China
| | - Yongxiao Chai
- Henan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China
- College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, China
| | - Xufeng Li
- Henan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China
- College of Animal Husbandry and Veterinary Science, Henan Agricultural University, Zhengzhou, 450002, China
| | - Yao Wang
- Henan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China
- College of Animal Husbandry and Veterinary Science, Henan Agricultural University, Zhengzhou, 450002, China
| | - Gaiping Zhang
- Henan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China.
- College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, China.
- College of Animal Husbandry and Veterinary Science, Henan Agricultural University, Zhengzhou, 450002, China.
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001, China.
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, 225009, China.
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30
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Colino CI, Lanao JM, Gutierrez-Millan C. Targeting of Hepatic Macrophages by Therapeutic Nanoparticles. Front Immunol 2020; 11:218. [PMID: 32194546 PMCID: PMC7065596 DOI: 10.3389/fimmu.2020.00218] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 01/27/2020] [Indexed: 12/13/2022] Open
Abstract
Hepatic macrophage populations include different types of cells with plastic properties that can differentiate into diverse phenotypes to modulate their properties in response to different stimuli. They often regulate the activity of other cells and play an important role in many hepatic diseases. In response to those pathological situations, they are activated, releasing cytokines and chemokines; they may attract circulating monocytes and exert functions that can aggravate the symptoms or drive reparation processes. As a result, liver macrophages are potential therapeutic targets that can be oriented toward a variety of aims, with emergent nanotechnology platforms potentially offering new perspectives for macrophage vectorization. Macrophages play an essential role in the final destination of nanoparticles (NPs) in the organism, as they are involved in their uptake and trafficking in vivo. Different types of delivery nanosystems for macrophage recognition and targeting, such as liposomes, solid-lipid, polymeric, or metallic nanoparticles, have been developed. Passive targeting promotes the accumulation of the NPs in the liver due to their anatomical and physiological features. This process is modulated by NP characteristics such as size, charge, and surface modifications. Active targeting approaches with specific ligands may also be used to reach liver macrophages. In order to design new systems, the NP recognition mechanism of macrophages must be understood, taking into account that variations in local microenvironment may change the phenotype of macrophages in a way that will affect the uptake and toxicity of NPs. This kind of information may be applied to diseases where macrophages play a pathogenic role, such as metabolic disorders, infections, or cancer. The kinetics of nanoparticles strongly affects their therapeutic efficacy when administered in vivo. Release kinetics could predict the behavior of nanosystems targeting macrophages and be applied to improve their characteristics. PBPK models have been developed to characterize nanoparticle biodistribution in organs of the reticuloendothelial system (RES) such as liver or spleen. Another controversial issue is the possible toxicity of non-degradable nanoparticles, which in many cases accumulate in high percentages in macrophage clearance organs such as the liver, spleen, and kidney.
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Affiliation(s)
- Clara I Colino
- Area of Pharmacy and Pharmaceutical Technology, Department of Pharmaceutical Sciences, University of Salamanca, Salamanca, Spain.,The Institute for Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - José M Lanao
- Area of Pharmacy and Pharmaceutical Technology, Department of Pharmaceutical Sciences, University of Salamanca, Salamanca, Spain.,The Institute for Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Carmen Gutierrez-Millan
- Area of Pharmacy and Pharmaceutical Technology, Department of Pharmaceutical Sciences, University of Salamanca, Salamanca, Spain.,The Institute for Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
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31
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Malik PRV, Edginton AN. Integration of Ontogeny Into a Physiologically Based Pharmacokinetic Model for Monoclonal Antibodies in Premature Infants. J Clin Pharmacol 2019; 60:466-476. [DOI: 10.1002/jcph.1540] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Accepted: 10/10/2019] [Indexed: 12/24/2022]
Affiliation(s)
- Paul R. V. Malik
- School of PharmacyUniversity of Waterloo Kitchener Ontario Canada
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32
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Yellepeddi VK, Ghandehari H. Pharmacokinetics of oral therapeutics delivered by dendrimer-based carriers. Expert Opin Drug Deliv 2019; 16:1051-1061. [DOI: 10.1080/17425247.2019.1656607] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- Venkata K. Yellepeddi
- Division of Clinical Pharmacology, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
- Department of Pharmaceutics and Pharmaceutical Chemistry, University of Utah, Salt Lake City, UT, USA
- Utah Center for Nanomedicine, Nano Institute of Utah, University of Utah, Salt Lake City, UT, USA
| | - Hamidreza Ghandehari
- Department of Pharmaceutics and Pharmaceutical Chemistry, University of Utah, Salt Lake City, UT, USA
- Utah Center for Nanomedicine, Nano Institute of Utah, University of Utah, Salt Lake City, UT, USA
- Department of Bioengineering, University of Utah, Salt Lake City, UT, USA
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