Iron oxide/bismuth oxide nanocomposites coated by graphene quantum dots: "Three-in-one" theranostic agents for simultaneous CT/MR imaging-guided in vitro photothermal therapy.


Journal

Photodiagnosis and photodynamic therapy
ISSN: 1873-1597
Titre abrégé: Photodiagnosis Photodyn Ther
Pays: Netherlands
ID NLM: 101226123

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 09 08 2018
revised: 25 10 2018
accepted: 26 10 2018
pubmed: 6 11 2018
medline: 4 9 2019
entrez: 3 11 2018
Statut: ppublish

Résumé

The all-in-one nanoprobes (NPs) have drawn biomedical attention in the cancer therapy field due to simultaneously combing the capabilities of therapeutic and diagnostic methods into a single nanoprobe. In this study, we developed a theranostic probe based on superparamagnetic iron oxide (SPIO) and bismuth oxide (Bi The GQDs-Fe/Bi nanocomposites showed strong light absorbance profile with wide-band in the near-infrared region, without any sharp peak or decline. The highest photo-to-thermal conversion efficacy (η), was found to be 31.8% with the high photostability upon the irradiation of NIR 808-nm laser. The results of in vitro photothermal ablation of cancerous cells demonstrated that the cells significantly killed in the presence of NPs (∼53.4%) with a dose-dependent manner in comparison to only laser group (3.0%). In GQDs-Fe/Bi nanocomposites, Bi with a high atomic number (Z = 83) exhibited a superior X-ray attenuation capability (175%) than the clinical CT agent-used dotarem, also, SPIO with excellent magnetization property showed strong T Our results demonstrate that the developed NPs can incorporate dual-modality imaging capability into a photo absorber for CT/MR imaging-guided tumor PTT.

Sections du résumé

BACKGROUND BACKGROUND
The all-in-one nanoprobes (NPs) have drawn biomedical attention in the cancer therapy field due to simultaneously combing the capabilities of therapeutic and diagnostic methods into a single nanoprobe.
METHOD METHODS
In this study, we developed a theranostic probe based on superparamagnetic iron oxide (SPIO) and bismuth oxide (Bi
RESULT RESULTS
The GQDs-Fe/Bi nanocomposites showed strong light absorbance profile with wide-band in the near-infrared region, without any sharp peak or decline. The highest photo-to-thermal conversion efficacy (η), was found to be 31.8% with the high photostability upon the irradiation of NIR 808-nm laser. The results of in vitro photothermal ablation of cancerous cells demonstrated that the cells significantly killed in the presence of NPs (∼53.4%) with a dose-dependent manner in comparison to only laser group (3.0%). In GQDs-Fe/Bi nanocomposites, Bi with a high atomic number (Z = 83) exhibited a superior X-ray attenuation capability (175%) than the clinical CT agent-used dotarem, also, SPIO with excellent magnetization property showed strong T
CONCLUSION CONCLUSIONS
Our results demonstrate that the developed NPs can incorporate dual-modality imaging capability into a photo absorber for CT/MR imaging-guided tumor PTT.

Identifiants

pubmed: 30385298
pii: S1572-1000(18)30257-6
doi: 10.1016/j.pdpdt.2018.10.021
pii:
doi:

Substances chimiques

Ferric Compounds 0
ferric oxide 1K09F3G675
Graphite 7782-42-5
bismuth oxide A6I4E79QF1
Bismuth U015TT5I8H

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

504-514

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Samireh Badrigilan (S)

Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Department of Medical Physics, Faculty of Medical, Tabriz University of Medical Sciences, Tabriz, Iran.

Behrouz Shaabani (B)

Department of Inorganic Chemistry, Faculty of Chemistry, Tabriz University, Tabriz, Iran.

Nahideh Gharehaghaji (N)

Department of Radiology, Faculty of Paramedical, Tabriz University of Medical Sciences, Tabriz, Iran.

Asghar Mesbahi (A)

Molecular Medicine Research Center, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran. Electronic address: amesbahi2010@gmail.com.

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Classifications MeSH