Back to Search Start Over

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

Authors :
Cho H
Oh DE
Nam Y
Lee SH
Kim TH
Source :
Biosensors & bioelectronics [Biosens Bioelectron] 2024 Nov 15; Vol. 264, pp. 116686. Date of Electronic Publication: 2024 Aug 18.
Publication Year :
2024

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 Δ <superscript>9</superscript> -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.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2024 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1873-4235
Volume :
264
Database :
MEDLINE
Journal :
Biosensors & bioelectronics
Publication Type :
Academic Journal
Accession number :
39173339
Full Text :
https://doi.org/10.1016/j.bios.2024.116686