Mathematical Modeling of Targeted Drug Delivery Using Magnetic Nanoparticles during Intraperitoneal Chemotherapy

Intraperitoneal (IP) chemotherapy has emerged as a promising method for the treatment of peritoneal malignancies (PMs). However, microenvironmental barriers in the tumor limit the delivery of drug particles and their deep penetration into the tumor, leading to reduced efficiency of treatment. Theref...

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Main Authors: Mohsen Rezaeian, M. Soltani, Ahmad Naseri Karimvand, Kaamran Raahemifar
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Pharmaceutics
Subjects:
Online Access:https://www.mdpi.com/1999-4923/14/2/324
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author Mohsen Rezaeian
M. Soltani
Ahmad Naseri Karimvand
Kaamran Raahemifar
author_facet Mohsen Rezaeian
M. Soltani
Ahmad Naseri Karimvand
Kaamran Raahemifar
author_sort Mohsen Rezaeian
collection DOAJ
description Intraperitoneal (IP) chemotherapy has emerged as a promising method for the treatment of peritoneal malignancies (PMs). However, microenvironmental barriers in the tumor limit the delivery of drug particles and their deep penetration into the tumor, leading to reduced efficiency of treatment. Therefore, new drug delivery systems should be developed to overcome these microenvironmental barriers. One promising technique is magnetically controlled drug targeting (MCDT) in which an external magnetic field is utilized to concentrate drug-coated magnetic nanoparticles (MNPs) to the desired area. In this work, a mathematical model is developed to investigate the efficacy of MCDT in IP chemotherapy. In this model, considering the mechanism of drug binding and internalization into cancer cells, the efficacy of drug delivery using MNPs is evaluated and compared with conventional IP chemotherapy. The results indicate that over 60 min of treatment with MNPs, drug penetration depth increased more than 13 times compared to conventional IPC. Moreover, the drug penetration area (DPA) increased more than 1.4 times compared to the conventional IP injection. The fraction of killed cells in the tumor in magnetic drug delivery was 6.5%, which shows an increase of more than 2.5 times compared to that of the conventional method (2.54%). Furthermore, the effects of magnetic strength, the distance of the magnet to the tumor, and the magnetic nanoparticles’ size were evaluated. The results show that MDT can be used as an effective technique to increase the efficiency of IP chemotherapy.
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spelling doaj.art-bb93097230624dada3418708d0f9e5fa2023-11-23T21:37:23ZengMDPI AGPharmaceutics1999-49232022-01-0114232410.3390/pharmaceutics14020324Mathematical Modeling of Targeted Drug Delivery Using Magnetic Nanoparticles during Intraperitoneal ChemotherapyMohsen Rezaeian0M. Soltani1Ahmad Naseri Karimvand2Kaamran Raahemifar3Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, IranDepartment of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, IranDepartment of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, IranData Science and Artificial Intelligence Program, College of Information Sciences and Technology (IST), Penn State University, Pennsylvania, PA 16801, USAIntraperitoneal (IP) chemotherapy has emerged as a promising method for the treatment of peritoneal malignancies (PMs). However, microenvironmental barriers in the tumor limit the delivery of drug particles and their deep penetration into the tumor, leading to reduced efficiency of treatment. Therefore, new drug delivery systems should be developed to overcome these microenvironmental barriers. One promising technique is magnetically controlled drug targeting (MCDT) in which an external magnetic field is utilized to concentrate drug-coated magnetic nanoparticles (MNPs) to the desired area. In this work, a mathematical model is developed to investigate the efficacy of MCDT in IP chemotherapy. In this model, considering the mechanism of drug binding and internalization into cancer cells, the efficacy of drug delivery using MNPs is evaluated and compared with conventional IP chemotherapy. The results indicate that over 60 min of treatment with MNPs, drug penetration depth increased more than 13 times compared to conventional IPC. Moreover, the drug penetration area (DPA) increased more than 1.4 times compared to the conventional IP injection. The fraction of killed cells in the tumor in magnetic drug delivery was 6.5%, which shows an increase of more than 2.5 times compared to that of the conventional method (2.54%). Furthermore, the effects of magnetic strength, the distance of the magnet to the tumor, and the magnetic nanoparticles’ size were evaluated. The results show that MDT can be used as an effective technique to increase the efficiency of IP chemotherapy.https://www.mdpi.com/1999-4923/14/2/324intraperitoneal chemotherapymagnetic drug targetingperitoneal carcinomatosiscomputational oncologytargeted drug delivery
spellingShingle Mohsen Rezaeian
M. Soltani
Ahmad Naseri Karimvand
Kaamran Raahemifar
Mathematical Modeling of Targeted Drug Delivery Using Magnetic Nanoparticles during Intraperitoneal Chemotherapy
Pharmaceutics
intraperitoneal chemotherapy
magnetic drug targeting
peritoneal carcinomatosis
computational oncology
targeted drug delivery
title Mathematical Modeling of Targeted Drug Delivery Using Magnetic Nanoparticles during Intraperitoneal Chemotherapy
title_full Mathematical Modeling of Targeted Drug Delivery Using Magnetic Nanoparticles during Intraperitoneal Chemotherapy
title_fullStr Mathematical Modeling of Targeted Drug Delivery Using Magnetic Nanoparticles during Intraperitoneal Chemotherapy
title_full_unstemmed Mathematical Modeling of Targeted Drug Delivery Using Magnetic Nanoparticles during Intraperitoneal Chemotherapy
title_short Mathematical Modeling of Targeted Drug Delivery Using Magnetic Nanoparticles during Intraperitoneal Chemotherapy
title_sort mathematical modeling of targeted drug delivery using magnetic nanoparticles during intraperitoneal chemotherapy
topic intraperitoneal chemotherapy
magnetic drug targeting
peritoneal carcinomatosis
computational oncology
targeted drug delivery
url https://www.mdpi.com/1999-4923/14/2/324
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