Computational methodology for drug delivery to the inner ear using magnetic nanoparticle aggregates. (June 2022)
- Record Type:
- Journal Article
- Title:
- Computational methodology for drug delivery to the inner ear using magnetic nanoparticle aggregates. (June 2022)
- Main Title:
- Computational methodology for drug delivery to the inner ear using magnetic nanoparticle aggregates
- Authors:
- Talaśka, Krzysztof
Wojtkowiak, Dominik
Wilczyński, Dominik
Ferreira, Antoine - Abstract:
- Highlights: The proposed study is to improve the efficiency of the ear treatment by targeting drug delivery to the inner ear. A computational methodology using Finite Element Modeling is proposed. Evaluation of the magnetic forces needed to move magnetic particles are computed and compared to experiments. Guidelines are provided for the design of drug delivery systems to the inner ear using magnetic particles. Abstract: Background and objective : The main goal of the proposed study is to improve the efficiency of the ear treatment via targeted drug delivery to the inner ear, i.e. the cochlea. Although pharmacotherapy has been proposed as a solution to prevent damage or restore functionality to hair cells, the main challenge in such treatments is ensuring adequate drug delivery to the cells. To this end, we present a methodology for the evaluation of the magnetic forces needed to move magnetic particle nanorobots (abbreviated as MNP) and their aggregates through the cochlea round window membrane (RWM). Methods : The FEM - Lagrangian-Eulerian approach (Abaqus software) was used to determine the specific parameters of movement of the nanoparticles crossing the RWM. This method results in a high consistency of FEM simulations and in-vivo experimental results in regards to the required magnetic force during the movement of spherical nanoparticles with a given viscosity ηave . Based on the analysis of the experimental studies found in subject literature, the sizes of the MNPs andHighlights: The proposed study is to improve the efficiency of the ear treatment by targeting drug delivery to the inner ear. A computational methodology using Finite Element Modeling is proposed. Evaluation of the magnetic forces needed to move magnetic particles are computed and compared to experiments. Guidelines are provided for the design of drug delivery systems to the inner ear using magnetic particles. Abstract: Background and objective : The main goal of the proposed study is to improve the efficiency of the ear treatment via targeted drug delivery to the inner ear, i.e. the cochlea. Although pharmacotherapy has been proposed as a solution to prevent damage or restore functionality to hair cells, the main challenge in such treatments is ensuring adequate drug delivery to the cells. To this end, we present a methodology for the evaluation of the magnetic forces needed to move magnetic particle nanorobots (abbreviated as MNP) and their aggregates through the cochlea round window membrane (RWM). Methods : The FEM - Lagrangian-Eulerian approach (Abaqus software) was used to determine the specific parameters of movement of the nanoparticles crossing the RWM. This method results in a high consistency of FEM simulations and in-vivo experimental results in regards to the required magnetic force during the movement of spherical nanoparticles with a given viscosity ηave . Based on the analysis of the experimental studies found in subject literature, the sizes of the MNPs and their aggregates able to cross RWM with and without the application of magnetic force FM have been determined. Results : The present work accounts for b oth the experimental and theoretical aspects of these investigations. Presented research confirms the definite usability of the Lagrange-Euler method for the precise determination of the required magnetic force value FM to control the accelerated motion of MNP aggregates of complex shapes through RWM. It is possible to determine the predominant parameters with a precision of less than 5% for single-layer aggregates and spatial aggregates crossing the RWM. It can be concluded that the MNPs and their aggregates should not be larger than 500–750 nm to cross the RWM with high velocities of penetration close to 800 nm/s for magnetic forces of hundreds 10 −14 Newtons. Conclusions : The proposed Lagrangian-Eulerian approach is capable of accurately predicting the movement parameters of MNP aggregates of irregular shape that are close to the experimental test cases. The presented method can serve as a supplementary tool for the design of drug delivery systems to the inner ear using MNPs. Graphical abstract: Computational methodology using Finite Element Modeling of the process of magnetic nanoparticles (MNPs) transport through the biological barrier (RWM)of the round windows membrane of inner ear. Image, graphical abstract … (more)
- Is Part Of:
- Computer methods and programs in biomedicine. Volume 221(2022)
- Journal:
- Computer methods and programs in biomedicine
- Issue:
- Volume 221(2022)
- Issue Display:
- Volume 221, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 221
- Issue:
- 2022
- Issue Sort Value:
- 2022-0221-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-06
- Subjects:
- Magnetic nanoparticles -- Aggregation design -- Drug delivery -- Inner ear -- Targeted therapy -- Lagrange – Euler FEM analysis
Medicine -- Computer programs -- Periodicals
Biology -- Computer programs -- Periodicals
Computers -- Periodicals
Medicine -- Periodicals
Médecine -- Logiciels -- Périodiques
Biologie -- Logiciels -- Périodiques
Biology -- Computer programs
Medicine -- Computer programs
Periodicals
Electronic journals
610.28 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01692607 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cmpb.2022.106860 ↗
- Languages:
- English
- ISSNs:
- 0169-2607
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.095000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22100.xml