Network-Based Pharmacology Study Reveals Protein Targets for Medical Benefits and Harms of Cannabinoids in Humans

This network-based pharmacology study intends to uncover the underlying mechanisms of cannabis leading to a therapeutic benefit and the pathogenesis for a wide range of diseases claimed to benefit from or be caused by the use of the cannabis plant. Cannabis contains more than 600 chemical components...

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Main Authors: Xingyu Li, Amit Madhukar Kudke, Felix Joseph Nepveux V, Yan Xu
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/4/2205
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author Xingyu Li
Amit Madhukar Kudke
Felix Joseph Nepveux V
Yan Xu
author_facet Xingyu Li
Amit Madhukar Kudke
Felix Joseph Nepveux V
Yan Xu
author_sort Xingyu Li
collection DOAJ
description This network-based pharmacology study intends to uncover the underlying mechanisms of cannabis leading to a therapeutic benefit and the pathogenesis for a wide range of diseases claimed to benefit from or be caused by the use of the cannabis plant. Cannabis contains more than 600 chemical components. Among these components, cannabinoids are well-known to have multifarious pharmacological activities. In this work, twelve cannabinoids were selected as active compounds through text mining and drug-like properties screening and used for initial protein-target prediction. The disease-associated biological functions and pathways were enriched through GO and KEGG databases. Various biological networks [i.e., protein-protein interaction, target-pathway, pathway-disease, and target-(pathway)-target interaction] were constructed, and the functional modules and essential protein targets were elucidated through the topological analyses of the networks. Our study revealed that eighteen proteins (CAT, COMT, CYP17A1, GSTA2, GSTM3, GSTP1, HMOX1, AKT1, CASP9, PLCG1, PRKCA, PRKCB, CYCS, TNF, CNR1, CNR2, CREB1, GRIN2B) are essential targets of eight cannabinoids (CBD, CBDA, Δ<sup>9</sup>-THC, CBN, CBC, CBGA, CBG, Δ<sup>8</sup>-THC), which involve in a variety of pathways resulting in beneficial and adverse effects on the human body. The molecular docking simulation confirmed that these eight cannabinoids bind to their corresponding protein targets with high binding affinities. This study generates a verifiable hypothesis of medical benefits and harms of key cannabinoids with a model which consists of multiple components, multiple targets, and multiple pathways, which provides an important foundation for further deployment of preclinical and clinical studies of cannabis.
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spelling doaj.art-b5b7787ab6a4481396e6dc8286697cbe2023-11-23T18:40:58ZengMDPI AGApplied Sciences2076-34172022-02-01124220510.3390/app12042205Network-Based Pharmacology Study Reveals Protein Targets for Medical Benefits and Harms of Cannabinoids in HumansXingyu Li0Amit Madhukar Kudke1Felix Joseph Nepveux V2Yan Xu3Department of Chemistry, Cleveland State University, Cleveland, OH 44115, USADepartment of Chemistry, Cleveland State University, Cleveland, OH 44115, USADepartment of Chemistry, Cleveland State University, Cleveland, OH 44115, USADepartment of Chemistry, Cleveland State University, Cleveland, OH 44115, USAThis network-based pharmacology study intends to uncover the underlying mechanisms of cannabis leading to a therapeutic benefit and the pathogenesis for a wide range of diseases claimed to benefit from or be caused by the use of the cannabis plant. Cannabis contains more than 600 chemical components. Among these components, cannabinoids are well-known to have multifarious pharmacological activities. In this work, twelve cannabinoids were selected as active compounds through text mining and drug-like properties screening and used for initial protein-target prediction. The disease-associated biological functions and pathways were enriched through GO and KEGG databases. Various biological networks [i.e., protein-protein interaction, target-pathway, pathway-disease, and target-(pathway)-target interaction] were constructed, and the functional modules and essential protein targets were elucidated through the topological analyses of the networks. Our study revealed that eighteen proteins (CAT, COMT, CYP17A1, GSTA2, GSTM3, GSTP1, HMOX1, AKT1, CASP9, PLCG1, PRKCA, PRKCB, CYCS, TNF, CNR1, CNR2, CREB1, GRIN2B) are essential targets of eight cannabinoids (CBD, CBDA, Δ<sup>9</sup>-THC, CBN, CBC, CBGA, CBG, Δ<sup>8</sup>-THC), which involve in a variety of pathways resulting in beneficial and adverse effects on the human body. The molecular docking simulation confirmed that these eight cannabinoids bind to their corresponding protein targets with high binding affinities. This study generates a verifiable hypothesis of medical benefits and harms of key cannabinoids with a model which consists of multiple components, multiple targets, and multiple pathways, which provides an important foundation for further deployment of preclinical and clinical studies of cannabis.https://www.mdpi.com/2076-3417/12/4/2205<i>Cannabis</i>cannabinoidscannabidioltetrahydrocannabinolnetwork-based pharmacologymolecular docking simulation
spellingShingle Xingyu Li
Amit Madhukar Kudke
Felix Joseph Nepveux V
Yan Xu
Network-Based Pharmacology Study Reveals Protein Targets for Medical Benefits and Harms of Cannabinoids in Humans
Applied Sciences
<i>Cannabis</i>
cannabinoids
cannabidiol
tetrahydrocannabinol
network-based pharmacology
molecular docking simulation
title Network-Based Pharmacology Study Reveals Protein Targets for Medical Benefits and Harms of Cannabinoids in Humans
title_full Network-Based Pharmacology Study Reveals Protein Targets for Medical Benefits and Harms of Cannabinoids in Humans
title_fullStr Network-Based Pharmacology Study Reveals Protein Targets for Medical Benefits and Harms of Cannabinoids in Humans
title_full_unstemmed Network-Based Pharmacology Study Reveals Protein Targets for Medical Benefits and Harms of Cannabinoids in Humans
title_short Network-Based Pharmacology Study Reveals Protein Targets for Medical Benefits and Harms of Cannabinoids in Humans
title_sort network based pharmacology study reveals protein targets for medical benefits and harms of cannabinoids in humans
topic <i>Cannabis</i>
cannabinoids
cannabidiol
tetrahydrocannabinol
network-based pharmacology
molecular docking simulation
url https://www.mdpi.com/2076-3417/12/4/2205
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AT felixjosephnepveuxv networkbasedpharmacologystudyrevealsproteintargetsformedicalbenefitsandharmsofcannabinoidsinhumans
AT yanxu networkbasedpharmacologystudyrevealsproteintargetsformedicalbenefitsandharmsofcannabinoidsinhumans