TY - GEN
T1 - A molecular communication model of exosome-mediated brain drug delivery
AU - Veletić, Mladen
AU - Barros, Michael Taynnan
AU - Balasingham, Ilangko
AU - Balasubramaniam, Sasitharan
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/9/25
Y1 - 2019/9/25
N2 - Novel implantable and externally controllable bio-nanomachines-based treatment strategies for Glioblastoma brain cancer have been proposed recently to bring hope to patients who suffer from this devastating cancer type. The main challenges in developing such strategies lie in both crossing the stringent Blood-Brain Barrier and maximizing the drug concentration at particular sites rich in Glioblastoma cells within safety guidelines. Aiming to provide a first step towards the realization of such a novel treatment method, here we propose analytical models to characterize and analyze an exosome-mediated brain drug delivery molecular communication system. We consider biophysical models and derive the closed-form transfer functions for a communication system that comprises of the engineered neural stem cells that release exosomes into the extracellular space in the brain and Glioblastoma-like cells that collect exosomes from the extracellular space in the brain. The presented numerical results show a dependency of the exosome propagation on various hindrance sources in the extracellular space and a limited operation performance at high frequencies that refer to the exosome concentration dynamics. The collection of exosomes by Glioblastoma-like cells show a dependency on high and stable exosome concentration in the extracellular space and low-frequency operation for a reasonable performance output.
AB - Novel implantable and externally controllable bio-nanomachines-based treatment strategies for Glioblastoma brain cancer have been proposed recently to bring hope to patients who suffer from this devastating cancer type. The main challenges in developing such strategies lie in both crossing the stringent Blood-Brain Barrier and maximizing the drug concentration at particular sites rich in Glioblastoma cells within safety guidelines. Aiming to provide a first step towards the realization of such a novel treatment method, here we propose analytical models to characterize and analyze an exosome-mediated brain drug delivery molecular communication system. We consider biophysical models and derive the closed-form transfer functions for a communication system that comprises of the engineered neural stem cells that release exosomes into the extracellular space in the brain and Glioblastoma-like cells that collect exosomes from the extracellular space in the brain. The presented numerical results show a dependency of the exosome propagation on various hindrance sources in the extracellular space and a limited operation performance at high frequencies that refer to the exosome concentration dynamics. The collection of exosomes by Glioblastoma-like cells show a dependency on high and stable exosome concentration in the extracellular space and low-frequency operation for a reasonable performance output.
KW - Brain
KW - Drug Delivery Systems
KW - Exosomes
KW - Glioblastoma
KW - Molecular Communication
KW - Stem Cells
UR - http://www.scopus.com/inward/record.url?scp=85073795133&partnerID=8YFLogxK
U2 - 10.1145/3345312.3345478
DO - 10.1145/3345312.3345478
M3 - Conference contribution
AN - SCOPUS:85073795133
T3 - Proceedings of the 6th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2019
BT - Proceedings of the 6th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2019
PB - Association for Computing Machinery (ACM)
T2 - 6th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2019
Y2 - 25 September 2019 through 27 September 2019
ER -