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Pizzetti F, Perale G, Masi M, Rossi F. Are mathematical equations important for improving drug-delivery devices performances? Ther Deliv 2024; 15:233-236. [PMID: 38356370 DOI: 10.4155/tde-2023-0125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2024] Open
Affiliation(s)
- Fabio Pizzetti
- Department of Chemistry, Materials & Chemical Engineering "Giulio Natta", Politecnico di Milano, via Mancinelli 7, 20131, Milan, Italy
| | - Giuseppe Perale
- Biomaterials Laboratory, Institute for Mechanical Engineering & Materials Technology, University of Applied Sciences & Arts of Southern Switzerland, via Cantonale 2C, Galleria 2, 6928, Manno, Switzerland
- Ludwig Boltzmann Institute for Experimental & Clinical Traumatology, Donaueschingenstrasse 13, 1200, Vienna, Austria
| | - Maurizio Masi
- Department of Chemistry, Materials & Chemical Engineering "Giulio Natta", Politecnico di Milano, via Mancinelli 7, 20131, Milan, Italy
| | - Filippo Rossi
- Department of Chemistry, Materials & Chemical Engineering "Giulio Natta", Politecnico di Milano, via Mancinelli 7, 20131, Milan, Italy
- Biomaterials Laboratory, Institute for Mechanical Engineering & Materials Technology, University of Applied Sciences & Arts of Southern Switzerland, via Cantonale 2C, Galleria 2, 6928, Manno, Switzerland
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2
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McCright J, Yarmovsky J, Maisel K. Para- and Transcellular Transport Kinetics of Nanoparticles across Lymphatic Endothelial Cells. Mol Pharm 2024; 21:1160-1169. [PMID: 37851841 PMCID: PMC10923144 DOI: 10.1021/acs.molpharmaceut.3c00720] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2023]
Abstract
Lymphatic vessels have received significant attention as drug delivery targets, as they shuttle materials from peripheral tissues to the lymph nodes, where adaptive immunity is formed. Delivery of immune modulatory materials to the lymph nodes via lymphatic vessels has been shown to enhance their efficacy and also improve the bioavailability of drugs when delivered to intestinal lymphatic vessels. In this study, we generated a three-compartment model of a lymphatic vessel with a set of kinematic differential equations to describe the transport of nanoparticles from the surrounding tissues into lymphatic vessels. We used previously published data and collected additional experimental parameters, including the transport efficiency of nanoparticles over time, and also examined how nanoparticle formulation affected the cellular transport mechanisms using small molecule inhibitors. These experimental data were incorporated into a system of kinematic differential equations, and nonlinear, least-squares curve fitting algorithms were employed to extrapolate transport coefficients within our model. The subsequent computational framework produced some of the first parameters to describe transport kinetics across lymphatic endothelial cells and allowed for the quantitative analysis of the driving mechanisms of transport into lymphatic vessels. Our model indicates that transcellular mechanisms, such as micro- and macropinocytosis, drive transport into lymphatics. This information is crucial to further design strategies that will modulate lymphatic transport for drug delivery, particularly in diseases like lymphedema, where normal lymphatic functions are impaired.
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Affiliation(s)
- Jacob McCright
- Department of Bioengineering, University of Maryland College Park, College Park, Maryland 20742, United States
| | - Jenny Yarmovsky
- Department of Bioengineering, University of Maryland College Park, College Park, Maryland 20742, United States
| | - Katharina Maisel
- Department of Bioengineering, University of Maryland College Park, College Park, Maryland 20742, United States
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3
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Wang L, Quine S, Frickenstein AN, Lee M, Yang W, Sheth VM, Bourlon MD, He Y, Lyu S, Garcia-Contreras L, Zhao YD, Wilhelm S. Exploring and Analyzing the Systemic Delivery Barriers for Nanoparticles. ADVANCED FUNCTIONAL MATERIALS 2024; 34:2308446. [PMID: 38828467 PMCID: PMC11142462 DOI: 10.1002/adfm.202308446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Indexed: 06/05/2024]
Abstract
Most nanomedicines require efficient in vivo delivery to elicit diagnostic and therapeutic effects. However, en route to their intended tissues, systemically administered nanoparticles often encounter delivery barriers. To describe these barriers, we propose the term "nanoparticle blood removal pathways" (NBRP), which summarizes the interactions between nanoparticles and the body's various cell-dependent and cell-independent blood clearance mechanisms. We reviewed nanoparticle design and biological modulation strategies to mitigate nanoparticle-NBRP interactions. As these interactions affect nanoparticle delivery, we studied the preclinical literature from 2011-2021 and analyzed nanoparticle blood circulation and organ biodistribution data. Our findings revealed that nanoparticle surface chemistry affected the in vivo behavior more than other nanoparticle design parameters. Combinatory biological-PEG surface modification improved the blood area under the curve by ~418%, with a decrease in liver accumulation of up to 47%. A greater understanding of nanoparticle-NBRP interactions and associated delivery trends will provide new nanoparticle design and biological modulation strategies for safer, more effective, and more efficient nanomedicines.
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Affiliation(s)
- Lin Wang
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, 73019, USA
| | - Skyler Quine
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, 73019, USA
| | - Alex N. Frickenstein
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, 73019, USA
| | - Michael Lee
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, 73019, USA
| | - Wen Yang
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, 73019, USA
| | - Vinit M. Sheth
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, 73019, USA
| | - Margaret D. Bourlon
- College of Pharmacy, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, 73117, USA
| | - Yuxin He
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, 73019, USA
| | - Shanxin Lyu
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, 73019, USA
| | - Lucila Garcia-Contreras
- College of Pharmacy, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, 73117, USA
| | - Yan D. Zhao
- Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, 73012, USA
- Stephenson Cancer Center, Oklahoma City, Oklahoma, 73104, USA
| | - Stefan Wilhelm
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, 73019, USA
- Stephenson Cancer Center, Oklahoma City, Oklahoma, 73104, USA
- Institute for Biomedical Engineering, Science, and Technology (IBEST), Norman, Oklahoma, 73019, USA
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4
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Moradi Kashkooli F, Hornsby TK, Kolios MC, Tavakkoli JJ. Ultrasound-mediated nano-sized drug delivery systems for cancer treatment: Multi-scale and multi-physics computational modeling. WILEY INTERDISCIPLINARY REVIEWS. NANOMEDICINE AND NANOBIOTECHNOLOGY 2024; 16:e1913. [PMID: 37475577 DOI: 10.1002/wnan.1913] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 05/18/2023] [Accepted: 05/30/2023] [Indexed: 07/22/2023]
Abstract
Computational modeling enables researchers to study and understand various complex biological phenomena in anticancer drug delivery systems (DDSs), especially nano-sized DDSs (NSDDSs). The combination of NSDDSs and therapeutic ultrasound (TUS), that is, focused ultrasound and low-intensity pulsed ultrasound, has made significant progress in recent years, opening many opportunities for cancer treatment. Multiple parameters require tuning and optimization to develop effective DDSs, such as NSDDSs, in which mathematical modeling can prove advantageous. In silico computational modeling of ultrasound-responsive DDS typically involves a complex framework of acoustic interactions, heat transfer, drug release from nanoparticles, fluid flow, mass transport, and pharmacodynamic governing equations. Owing to the rapid development of computational tools, modeling the different phenomena in multi-scale complex problems involved in drug delivery to tumors has become possible. In the present study, we present an in-depth review of recent advances in the mathematical modeling of TUS-mediated DDSs for cancer treatment. A detailed discussion is also provided on applying these computational models to improve the clinical translation for applications in cancer treatment. This article is categorized under: Nanotechnology Approaches to Biology > Nanoscale Systems in Biology Therapeutic Approaches and Drug Discovery > Nanomedicine for Oncologic Disease.
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Affiliation(s)
| | - Tyler K Hornsby
- Department of Physics, Toronto Metropolitan University, Toronto, Ontario, Canada
| | - Michael C Kolios
- Department of Physics, Toronto Metropolitan University, Toronto, Ontario, Canada
- Institute for Biomedical Engineering, Science and Technology (iBEST), Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Jahangir Jahan Tavakkoli
- Department of Physics, Toronto Metropolitan University, Toronto, Ontario, Canada
- Institute for Biomedical Engineering, Science and Technology (iBEST), Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, Ontario, Canada
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5
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Chen M, Yang J, Tang C, Lu X, Wei Z, Liu Y, Yu P, Li H. Improving ADMET Prediction Accuracy for Candidate Drugs: Factors to Consider in QSPR Modeling Approaches. Curr Top Med Chem 2024; 24:222-242. [PMID: 38083894 DOI: 10.2174/0115680266280005231207105900] [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: 09/19/2023] [Revised: 11/02/2023] [Accepted: 11/10/2023] [Indexed: 05/04/2024]
Abstract
Quantitative Structure-Property Relationship (QSPR) employs mathematical and statistical methods to reveal quantitative correlations between the pharmacokinetics of compounds and their molecular structures, as well as their physical and chemical properties. QSPR models have been widely applied in the prediction of drug absorption, distribution, metabolism, excretion, and toxicity (ADMET). However, the accuracy of QSPR models for predicting drug ADMET properties still needs improvement. Therefore, this paper comprehensively reviews the tools employed in various stages of QSPR predictions for drug ADMET. It summarizes commonly used approaches to building QSPR models, systematically analyzing the advantages and limitations of each modeling method to ensure their judicious application. We provide an overview of recent advancements in the application of QSPR models for predicting drug ADMET properties. Furthermore, this review explores the inherent challenges in QSPR modeling while also proposing a range of considerations aimed at enhancing model prediction accuracy. The objective is to enhance the predictive capabilities of QSPR models in the field of drug development and provide valuable reference and guidance for researchers in this domain.
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Affiliation(s)
- Meilun Chen
- Xiangya School of Pharmaceutical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, Hunan, 410013, China
| | - Jie Yang
- Xiangya School of Pharmaceutical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, Hunan, 410013, China
| | - Chunhua Tang
- Xiangya School of Pharmaceutical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, Hunan, 410013, China
| | - Xiaoling Lu
- Xiangya School of Pharmaceutical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, Hunan, 410013, China
| | - Zheng Wei
- Xiangya School of Pharmaceutical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, Hunan, 410013, China
| | - Yijie Liu
- Xiangya School of Pharmaceutical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, Hunan, 410013, China
| | - Peng Yu
- Xiangya School of Pharmaceutical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, Hunan, 410013, China
| | - HuanHuan Li
- Xiangya School of Pharmaceutical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, Hunan, 410013, China
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6
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Pirisinu M. The Long Journey of Extracellular Vesicles towards Global Scientific Acclamation. Adv Pharm Bull 2023; 13:489-501. [PMID: 37646064 PMCID: PMC10460810 DOI: 10.34172/apb.2023.049] [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: 02/09/2022] [Revised: 05/22/2022] [Accepted: 07/01/2022] [Indexed: 09/01/2023] Open
Abstract
Extracellular vesicles (EVs) are a heterogeneous class of cell-derived vesicles that are responsible for eliciting a wide array of biological processes. After decades of intense investigation, the therapeutic potential of EVs will be finally explored in a series of upcoming clinical trials. EVs are rapidly changing the understanding of human physiology and will undoubtedly transform the field of medicine. The applicability of EVs as diagnostic biomarkers and treatment vectors has captured the attention of the scientific community and investors, facilitating the rapid progression of numerous EVs-based platforms. This mini-review provides an outline of the pioneering discoveries, and their respective significances, on progressing EVs toward clinical use. We focus the attention of the readers on several promising classes of EVs that hold major opportunities to translate in clinical practice. Market analysis and future challenges facing EVs-based therapies are also discussed.
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Affiliation(s)
- Marco Pirisinu
- Department of Biomedical Sciences, College of Veterinary Medicine and Life Sciences, City, University of Hong Kong, Hong Kong
- Jotbody HK Limited, New Territories, Hong Kong
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7
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Karnwal A, Kumar G, Pant G, Hossain K, Ahmad A, Alshammari MB. Perspectives on Usage of Functional Nanomaterials in Antimicrobial Therapy for Antibiotic-Resistant Bacterial Infections. ACS OMEGA 2023; 8:13492-13508. [PMID: 37091369 PMCID: PMC10116640 DOI: 10.1021/acsomega.3c00110] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 03/28/2023] [Indexed: 05/03/2023]
Abstract
The clinical applications of nanotechnology are emerging as widely popular, particularly as a potential treatment approach for infectious diseases. Diseases associated with multiple drug-resistant organisms (MDROs) are a global concern of morbidity and mortality. The prevalence of infections caused by antibiotic-resistant bacterial strains has increased the urgency associated with researching and developing novel bactericidal medicines or unorthodox methods capable of combating antimicrobial resistance. Nanomaterial-based treatments are promising for treating severe bacterial infections because they bypass antibiotic resistance mechanisms. Nanomaterial-based approaches, especially those that do not rely on small-molecule antimicrobials, display potential since they can bypass drug-resistant bacteria systems. Nanoparticles (NPs) are small enough to pass through the cell membranes of pathogenic bacteria and interfere with essential molecular pathways. They can also target biofilms and eliminate infections that have proven difficult to treat. In this review, we described the antibacterial mechanisms of NPs against bacteria and the parameters involved in targeting established antibiotic resistance and biofilms. Finally, yet importantly, we talked about NPs and the various ways they can be utilized, including as delivery methods, intrinsic antimicrobials, or a mixture.
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Affiliation(s)
- Arun Karnwal
- Department
of Microbiology, School of Bioengineering & Biosciences, Lovely Professional University, Phagwara, Punjab 144411, India
| | - Gaurav Kumar
- Department
of Microbiology, School of Bioengineering & Biosciences, Lovely Professional University, Phagwara, Punjab 144411, India
| | - Gaurav Pant
- Department
of Microbiology, Graphic Era (Deemed to
be University), Dehradun, Uttarakhand 248002, India
| | - Kaizar Hossain
- Department
of Environmental Science, Asutosh College, University of Calcutta, 92, Shyama Prasad Mukherjee Road, Bhowanipore, Kolkata 700026, West
Bengal, India
| | - Akil Ahmad
- Department
of Chemistry, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
| | - Mohammed B. Alshammari
- Department
of Chemistry, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
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8
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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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9
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Elasticity regulates nanomaterial transport as delivery vehicles: Design, characterization, mechanisms and state of the art. Biomaterials 2022; 291:121879. [DOI: 10.1016/j.biomaterials.2022.121879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 10/14/2022] [Accepted: 10/23/2022] [Indexed: 11/22/2022]
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