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Bioactive Chemical Composition of Cannabis Extracts and Cannabinoid Receptors
Cannabis is widely used as a therapeutic drug, especially by patients suffering from psychiatric and neurodegenerative diseases. However, the complex interplay between phytocannabinoids and their targets in the human receptome remains largely a mystery, and there have been few investigations into th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436063/ https://www.ncbi.nlm.nih.gov/pubmed/32751516 http://dx.doi.org/10.3390/molecules25153466 |
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author | Yang, Yi Vyawahare, Rupali Lewis-Bakker, Melissa Clarke, Hance A. Wong, Albert H. C. Kotra, Lakshmi P. |
author_facet | Yang, Yi Vyawahare, Rupali Lewis-Bakker, Melissa Clarke, Hance A. Wong, Albert H. C. Kotra, Lakshmi P. |
author_sort | Yang, Yi |
collection | PubMed |
description | Cannabis is widely used as a therapeutic drug, especially by patients suffering from psychiatric and neurodegenerative diseases. However, the complex interplay between phytocannabinoids and their targets in the human receptome remains largely a mystery, and there have been few investigations into the relationship between the chemical composition of medical cannabis and the corresponding biological activity. In this study, we investigated 59 cannabis samples used by patients for medical reasons. The samples were subjected to extraction (microwave and supercritical carbon dioxide) and chemical analyses, and the resulting extracts were assayed in vitro using the CB(1) and CB(2) receptors. Using a partial least squares regression analysis, the chemical compositions of the extracts were then correlated to their corresponding cannabinoid receptor activities, thus generating predictive models that describe the receptor potency as a function of major phytocannabinoid content. Using the current dataset, meaningful models for CB(1) and CB(2) receptor agonism were obtained, and these reveal the insignificant relationships between the major phytocannabinoid content and receptor affinity for CB(1) but good correlations between the two at CB(2) receptors. These results also explain the anomalies between the receptor activities of pure phytocannabinoids and cannabis extracts. Furthermore, the models for CB(1) and CB(2) agonism in cannabis extracts predict the cannabinoid receptor activities of individual phytocannabinoids with reasonable accuracy. Here for the first time, we disclose a method to predict the relationship between the chemical composition, including phytocannabinoids, of cannabis extracts and cannabinoid receptor responses. |
format | Online Article Text |
id | pubmed-7436063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74360632020-08-24 Bioactive Chemical Composition of Cannabis Extracts and Cannabinoid Receptors Yang, Yi Vyawahare, Rupali Lewis-Bakker, Melissa Clarke, Hance A. Wong, Albert H. C. Kotra, Lakshmi P. Molecules Article Cannabis is widely used as a therapeutic drug, especially by patients suffering from psychiatric and neurodegenerative diseases. However, the complex interplay between phytocannabinoids and their targets in the human receptome remains largely a mystery, and there have been few investigations into the relationship between the chemical composition of medical cannabis and the corresponding biological activity. In this study, we investigated 59 cannabis samples used by patients for medical reasons. The samples were subjected to extraction (microwave and supercritical carbon dioxide) and chemical analyses, and the resulting extracts were assayed in vitro using the CB(1) and CB(2) receptors. Using a partial least squares regression analysis, the chemical compositions of the extracts were then correlated to their corresponding cannabinoid receptor activities, thus generating predictive models that describe the receptor potency as a function of major phytocannabinoid content. Using the current dataset, meaningful models for CB(1) and CB(2) receptor agonism were obtained, and these reveal the insignificant relationships between the major phytocannabinoid content and receptor affinity for CB(1) but good correlations between the two at CB(2) receptors. These results also explain the anomalies between the receptor activities of pure phytocannabinoids and cannabis extracts. Furthermore, the models for CB(1) and CB(2) agonism in cannabis extracts predict the cannabinoid receptor activities of individual phytocannabinoids with reasonable accuracy. Here for the first time, we disclose a method to predict the relationship between the chemical composition, including phytocannabinoids, of cannabis extracts and cannabinoid receptor responses. MDPI 2020-07-30 /pmc/articles/PMC7436063/ /pubmed/32751516 http://dx.doi.org/10.3390/molecules25153466 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yang, Yi Vyawahare, Rupali Lewis-Bakker, Melissa Clarke, Hance A. Wong, Albert H. C. Kotra, Lakshmi P. Bioactive Chemical Composition of Cannabis Extracts and Cannabinoid Receptors |
title | Bioactive Chemical Composition of Cannabis Extracts and Cannabinoid Receptors |
title_full | Bioactive Chemical Composition of Cannabis Extracts and Cannabinoid Receptors |
title_fullStr | Bioactive Chemical Composition of Cannabis Extracts and Cannabinoid Receptors |
title_full_unstemmed | Bioactive Chemical Composition of Cannabis Extracts and Cannabinoid Receptors |
title_short | Bioactive Chemical Composition of Cannabis Extracts and Cannabinoid Receptors |
title_sort | bioactive chemical composition of cannabis extracts and cannabinoid receptors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436063/ https://www.ncbi.nlm.nih.gov/pubmed/32751516 http://dx.doi.org/10.3390/molecules25153466 |
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