Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Bioelectronic sensing platform emulating the human endocannabinoid system for assessing and modulating of cannabinoid activity

Authors
Cho, HyunjuOh, Da EunNam, YoungjuLee, Seung HwanKim, Tae Hyun
Issue Date
Nov-2024
Publisher
Elsevier Ltd
Citation
Biosensors and Bioelectronics, v.264, pp 1 - 9
Pages
9
Indexed
SCIE
SCOPUS
Journal Title
Biosensors and Bioelectronics
Volume
264
Start Page
1
End Page
9
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/120298
DOI
10.1016/j.bios.2024.116686
ISSN
0956-5663
1873-4235
Abstract
Cannabinoids are involved in physiological and neuromodulatory processes through their interactions with the human cannabinoid receptor-based endocannabinoid system. Their association with neurodegenerative diseases and brain reward pathways underscores the importance of evaluating and modulating cannabinoid activity for both understanding physiological mechanisms and developing therapeutic drugs. The use of agonists and antagonists could be strategic approaches for modulation. In this study, we introduce a bioelectronic sensor designed to monitor cannabinoid binding to receptors and assess their agonistic and antagonistic properties. We produced human cannabinoid receptor 1 (hCB1R) via an Escherichia coli expression system and incorporated it into nanodiscs (NDs). These hCB1R-NDs were then immobilized on a single-walled carbon nanotube field-effect transistor (swCNT-FET) to construct a bioelectronic sensing platform. This novel system can sensitively detect the cannabinoid ligand anandamide (AEA) at concentrations as low as 1 fM, demonstrating high selectivity and real-time response. It also successfully identified the hCB1R agonist Δ9-tetrahydrocannabinol and observed that the hCB1R antagonist rimonabant diminished the sensor signal upon AEA binding, indicating the antagonism-based modulation of ligand interaction. Consequently, our bioelectronic sensing platform holds potential for ligand detection and analysis of agonism and antagonism. © 2024 Elsevier B.V.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF BIONANO ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher LEE, SEUNG HWAN photo

LEE, SEUNG HWAN
ERICA 첨단융합대학 (ERICA 바이오나노공학전공)
Read more

Altmetrics

Total Views & Downloads

BROWSE