Cavitation-assisted sonothrombolysis by asymmetrical nanostars for accelerated thrombolysis

Wonseok Choi, Jaehong Key, Inchan Youn, Hyojin Lee, Sungmin Han

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1 Citation (Scopus)

Abstract

Sonothrombolysis with recombinant tissue plasminogen activator (rtPA) and microbubbles has been widely studied to enhance thrombolytic potential. Here, we report different sonothrombolysis strategy in nanoparticles using microbubbles cavitation. We found that different particles in shape exhibited different reactivity toward the cavitation, leading to a distinct sonothrombolytic potential. Two different gold nanoparticles in shape were functionalized with the rtPA: rtPA-functionalized gold nanospheres (NPt) and gold nanostars (NSt). NPt could not accelerate the thrombolytic potential with a sole acoustic stimulus. Importantly, NSt enhanced the potential with acoustic stimulus and microbubble-mediated cavitation, while NPt were not reactive to cavitation. Coadministration of NSt and microbubbles resulted in a dramatic reduction of the infarcts in a photothrombotic model and recovery in the cerebral blood flow. Given the synergistic effect and in vivo feasibility of this strategy, cavitation-assisted sonothrombolysis by asymmetrical NSt might be useful for treating acute ischemic stroke.

Original languageEnglish
Pages (from-to)870-885
Number of pages16
JournalJournal of Controlled Release
Volume350
DOIs
Publication statusPublished - 2022 Oct

Bibliographical note

Funding Information:
This research was supported in part by the National Research Council of Science and Technology (NST) grant by the Korea government (MSIT) ( CAP-18014-000 ), the Technology Innovation Program ( 20014477 , Development of non-contact AI health monitoring system based on multimodal sensors) funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea), the Smart HealthCare Program ( www.kipot.or.kr ) ( 220222M0303 , Development and commercialization of police officer's life-log acquisition and stress/health management system through artificial intelligence based on big data analysis) funded by the Korean National Police Agency (KNPA, Korea), National Research Foundation of Korea (NRF) grants by the MSIT ( 2020M3A9I4038197 , and 2021R1C1C1005050 ), and KIST Intramural Grants ( 2E31121 ).

Publisher Copyright:
© 2022 The Authors

All Science Journal Classification (ASJC) codes

  • Pharmaceutical Science

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