Cannabidiol Is a novel modulator of bacterial membrane vesicles

Kosgodage, Uchini S., Matewele, Paul, Awamaria, Brigitte, Kraev, Igor, Warde, Purva, Mastroianni, Giulia, Nunn, Alistair V., Guy, Geoffrey W., Bell, Jimmy D., Inal, Jameel and Lange, Sigrun (2019) Cannabidiol Is a novel modulator of bacterial membrane vesicles. Frontiers in Cellular and Infection Microbiology, 9. pp. 1-13. ISSN 2235-2988

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Abstract / Description

Membrane vesicles (MVs) released from bacteria participate in cell communication and host-pathogen interactions. Roles for MVs in antibiotic resistance are gaining increased attention and in this study we investigated if known anti-bacterial effects of cannabidiol (CBD), a phytocannabinoid from Cannabis sativa, could be in part attributed to effects on bacterial MV profile and MV release. We found that CBD is a strong inhibitor of MV release from Gram-negative bacteria (E. coli VCS257), while inhibitory effect on MV release from Gram-positive bacteria (S. aureus subsp. aureus Rosenbach) was negligible. When used in combination with selected antibiotics, CBD significantly increased the bactericidal action of several antibiotics in the Gram-negative bacteria. In addition, CBD increased antibiotic effects of kanamycin in the Gram-positive bacteria, without affecting MV release. CBD furthermore changed protein profiles of MVs released from E. coli after 1 h CBD treatment. Our findings indicate that CBD may pose as a putative adjuvant agent for tailored co-application with selected antibiotics, depending on bacterial species, to increase antibiotic activity, including via MV inhibition, and help reduce antibiotic resistance.

Item Type:	Article
Uncontrolled Keywords:	bacterial membrane vesicles (MVs), cannabidiol (CBD), antibiotic resistance, gram-negative, gram-positive, E. coli VCS257, S. aureus subsp. aureus Rosenbach
Subjects:	500 Natural Sciences and Mathematics > 570 Life sciences; biology
Department:	School of Human Sciences
Depositing User:	Paul Matewele
Date Deposited:	17 Sep 2019 09:37
Last Modified:	23 May 2023 11:36
URI:	https://repository.londonmet.ac.uk/id/eprint/5104

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