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  Music improves the therapeutic effects of bevacizumab in rats with glioblastoma: Modulation of drug distribution to the brain

Semyachkina-Glushkovskaya, O., Diduk, S., Anna, E., Elina, D., Artem, K., Khorovodov, A., Shirokov, A., Fedosov, I., Dubrovsky, A., Blokhina, I., Terskov, A., Navolokin, N., Evsukova, A., Elovenko, D., Adushkina, V., Kurths, J. (2022): Music improves the therapeutic effects of bevacizumab in rats with glioblastoma: Modulation of drug distribution to the brain. - Frontiers in Oncology, 12, 1010188.
https://doi.org/10.3389/fonc.2022.1010188

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Semyachkina-Glushkovskaya, Oxana1, Author
Diduk, Sergey1, Author
Anna, Eroshova1, Author
Elina, Dosadina1, Author
Artem, Kruglov1, Author
Khorovodov, Alexander1, Author
Shirokov, Alexander1, Author
Fedosov, Ivan1, Author
Dubrovsky, Alexander1, Author
Blokhina, Inna1, Author
Terskov, Andrey1, Author
Navolokin, Nikita1, Author
Evsukova, Arina1, Author
Elovenko, Daria1, Author
Adushkina, Viktoria1, Author
Kurths, Jürgen2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: The development of new methods for modulation of drug distribution across to the brain is a crucial step in the effective therapies for glioblastoma (GBM). In our previous work, we discovered the phenomenon of music-induced opening of the blood-brain barrier (OBBB) in healthy rodents. In this pilot study on rats, we clearly demonstrate that music-induced BBB opening improves the therapeutic effects of bevacizumab (BZM) in rats with GBM via increasing BZM distribution to the brain along the cerebral vessels.

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Language(s): eng - English
 Dates: 2022-10-132022-10-13
 Publication Status: Finally published
 Pages: 16
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3389/fonc.2022.1010188
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Health
Research topic keyword: Nonlinear Dynamics
Model / method: Nonlinear Data Analysis
Working Group: Network- and machine-learning-based prediction of extreme events
OATYPE: Gold Open Access
 Degree: -

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Title: Frontiers in Oncology
Source Genre: Journal, SCI, Scopus, oa
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Pages: - Volume / Issue: 12 Sequence Number: 1010188 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/2234-943X
Publisher: Frontiers