Dye labeling for optical imaging biases drug carriers' biodistribution and tumor uptake.


Journal

Nanomedicine : nanotechnology, biology, and medicine
ISSN: 1549-9642
Titre abrégé: Nanomedicine
Pays: United States
ID NLM: 101233142

Informations de publication

Date de publication:
02 2023
Historique:
received: 08 11 2022
revised: 25 12 2022
accepted: 27 12 2022
pubmed: 10 1 2023
medline: 15 2 2023
entrez: 9 1 2023
Statut: ppublish

Résumé

Biodistribution analyses of nanocarriers are often performed with optical imaging. Though dye tags can interact with transporters, e.g., organic anion transporting polypeptides (OATPs), their influence on biodistribution was hardly studied. Therefore, this study compared tumor cell uptake and biodistribution (in A431 tumor-bearing mice) of four near-infrared fluorescent dyes (AF750, IRDye750, Cy7, DY-750) and dye-labeled poly(N-(2-hydroxypropyl)methacrylamide)-based nanocarriers (dye-pHPMAs). Tumor cell uptake of hydrophobic dyes (Cy7, DY-750) was higher than that of hydrophilic dyes (AF750, IRDye750), and was actively mediated but not related to OATPs. Free dyes' elimination depended on their hydrophobicity, and tumor uptake correlated with blood circulation times. Dye-pHPMAs circulated longer and accumulated stronger in tumors than free dyes. Dye labeling significantly influenced nanocarriers' tumor accumulation and biodistribution. Therefore, low-interference dyes and further exploration of dye tags are required to achieve the most unbiased results possible. In our assessment, AF750 and IRDye750 best qualified for labeling hydrophilic nanocarriers.

Identifiants

pubmed: 36623712
pii: S1549-9634(23)00001-1
doi: 10.1016/j.nano.2023.102650
pii:
doi:

Substances chimiques

Drug Carriers 0
Fluorescent Dyes 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

102650

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest FG is the owner of Gremse-IT. SR is employed at Gremse-IT.

Auteurs

Sarah Schraven (S)

Institute for Experimental Molecular Imaging, RWTH Aachen University, Forckenbeckstrasse 55, 52074 Aachen, Germany.

Stefanie Rosenhain (S)

Institute for Experimental Molecular Imaging, RWTH Aachen University, Forckenbeckstrasse 55, 52074 Aachen, Germany; Gremse-IT GmbH, Dennewartstrasse 25, 52068 Aachen, Germany.

Ramona Brueck (R)

Institute for Experimental Molecular Imaging, RWTH Aachen University, Forckenbeckstrasse 55, 52074 Aachen, Germany.

Tim Marvin Wiechmann (TM)

Institute for Experimental Molecular Imaging, RWTH Aachen University, Forckenbeckstrasse 55, 52074 Aachen, Germany.

Robert Pola (R)

Institute of Macromolecular Chemistry, Czech Academy of Sciences, Heyrovského nám. 2, 162 06 Prague, Czech Republic.

Tomáš Etrych (T)

Institute of Macromolecular Chemistry, Czech Academy of Sciences, Heyrovského nám. 2, 162 06 Prague, Czech Republic.

Wiltrud Lederle (W)

Institute for Experimental Molecular Imaging, RWTH Aachen University, Forckenbeckstrasse 55, 52074 Aachen, Germany.

Twan Lammers (T)

Institute for Experimental Molecular Imaging, RWTH Aachen University, Forckenbeckstrasse 55, 52074 Aachen, Germany.

Felix Gremse (F)

Institute for Experimental Molecular Imaging, RWTH Aachen University, Forckenbeckstrasse 55, 52074 Aachen, Germany; Gremse-IT GmbH, Dennewartstrasse 25, 52068 Aachen, Germany.

Fabian Kiessling (F)

Institute for Experimental Molecular Imaging, RWTH Aachen University, Forckenbeckstrasse 55, 52074 Aachen, Germany; Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany; Fraunhofer MEVIS, Institute for Medical Image Computing, Aachen, Germany. Electronic address: fkiessling@ukaachen.de.

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Classifications MeSH