Magnetically Enhanced Intracellular Uptake of Superparamagnetic Iron Oxide Nanoparticles for Antitumor Therapy.

chain disassembly intracellular uptake magnetic hyperthermia rotating magnetic field tumor targeting

Journal

ACS nano
ISSN: 1936-086X
Titre abrégé: ACS Nano
Pays: United States
ID NLM: 101313589

Informations de publication

Date de publication:
22 08 2023
Historique:
medline: 23 8 2023
pubmed: 21 7 2023
entrez: 21 7 2023
Statut: ppublish

Résumé

Superparamagnetic iron oxide nanoparticles (SPIONs) have been widely employed in biomedical fields, including targeted delivery of antitumor therapy. Conventional magnetic tumor targeting has used simple static magnetic fields (SMFs), which cause SPIONs to linearly aggregate into a long chain-like shape. Such agglomeration greatly hinders the intracellular targeting of SPIONs into tumors, thus reducing the therapeutic efficacy. In this study, we investigated the enhancement of the intracellular uptake of SPIONs through the application of rotating magnetic fields (RMFs). Based on the physical principles of SPION chain disassembly, we investigated physical parameters to predict the chain length favorable for intracellular uptake. Our prediction was validated by clear visualization of the intracellular distributions of SPIONs in tumor cells at both cellular and

Identifiants

pubmed: 37477428
doi: 10.1021/acsnano.3c03780
doi:

Substances chimiques

Magnetite Nanoparticles 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

15857-15870

Auteurs

Junhee Choi (J)

Department of Robotics and Mechatronics Engineering, Daegu Gyeong-buk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.
DGIST-ETH Microrobotics Research Center, Daegu Gyeong-buk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.

Dong-In Kim (DI)

Department of Robotics and Mechatronics Engineering, Daegu Gyeong-buk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.
DGIST-ETH Microrobotics Research Center, Daegu Gyeong-buk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.

Jin-Young Kim (JY)

Department of Robotics and Mechatronics Engineering, Daegu Gyeong-buk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.
DGIST-ETH Microrobotics Research Center, Daegu Gyeong-buk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.
Robotics Research Center, Daegu Gyeong-buk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.
Division of Biotechnology, Daegu Gyeong-buk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.
IMsystem Co., Ltd., Daegu 42988, Republic of Korea.

Salvador Pané (S)

DGIST-ETH Microrobotics Research Center, Daegu Gyeong-buk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.
Multi-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich CH-8092, Switzerland.

Bradley J Nelson (BJ)

DGIST-ETH Microrobotics Research Center, Daegu Gyeong-buk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.
Multi-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich CH-8092, Switzerland.

Young-Tae Chang (YT)

Center for Self-assembly and Complexity, Institute for Basic Science (IBS), Pohang, Gyeongbuk 37673, Republic of Korea.
Department of Chemistry, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk 37673, Republic of Korea.

Hongsoo Choi (H)

Department of Robotics and Mechatronics Engineering, Daegu Gyeong-buk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.
DGIST-ETH Microrobotics Research Center, Daegu Gyeong-buk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.
Robotics Research Center, Daegu Gyeong-buk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.

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Classifications MeSH