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© 2022 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 (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Drug-metabolizing enzymes, particularly the cytochrome P450 (CYP450) monooxygenases, play a pivotal role in pharmacokinetics. CYP450 enzymes can be affected by various xenobiotic substrates, which will eventually be responsible for most metabolism-based herb–herb or herb–drug interactions, usually involving competition with another drug for the same enzyme binding site. Compounds from herbal or natural products are involved in many scenarios in the context of such interactions. These interactions are decisive both in drug discovery regarding the synergistic effects, and drug application regarding unwanted side effects. Herein, this review was conducted as a comprehensive compilation of the effects of herbal ingredients on CYP450 enzymes. Nearly 500 publications reporting botanicals’ effects on CYP450s were collected and analyzed. The countries focusing on this topic were summarized, the identified herbal ingredients affecting enzyme activity of CYP450s, as well as methods identifying the inhibitory/inducing effects were reviewed. Inhibitory effects of botanicals on CYP450 enzymes may contribute to synergistic effects, such as herbal formulae/prescriptions, or lead to therapeutic failure, or even increase concentrations of conventional medicines causing serious adverse events. Conducting this review may help in metabolism-based drug combination discovery, and in the evaluation of the safety profile of natural products used therapeutically.

Details

Title
Enzyme Activity of Natural Products on Cytochrome P450
Author
Hua-Li, Zuo 1   VIAFID ORCID Logo  ; Hsi-Yuan, Huang 2 ; Yang-Chi-Dung, Lin 2 ; Xiao-Xuan Cai 3 ; Xiang-Jun, Kong 4 ; Dai-Lin, Luo 3 ; Yu-Heng, Zhou 3 ; Huang, Hsien-Da 2 

 School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China; [email protected] (H.-L.Z.); [email protected] (H.-Y.H.); [email protected] (Y.-C.-D.L.); [email protected] (X.-X.C.); [email protected] (D.-L.L.); [email protected] (Y.-H.Z.); Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China; School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China 
 School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China; [email protected] (H.-L.Z.); [email protected] (H.-Y.H.); [email protected] (Y.-C.-D.L.); [email protected] (X.-X.C.); [email protected] (D.-L.L.); [email protected] (Y.-H.Z.); Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China 
 School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China; [email protected] (H.-L.Z.); [email protected] (H.-Y.H.); [email protected] (Y.-C.-D.L.); [email protected] (X.-X.C.); [email protected] (D.-L.L.); [email protected] (Y.-H.Z.) 
 State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao 999078, China; [email protected] 
First page
515
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
14203049
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2621341907
Copyright
© 2022 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 (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.