Systematic Review of Naturally Derived Substances That Act as Inhibitors of the Nicotine Metabolizing Enzyme Cytochrome P450 2A6

Author:

Tzoupis Haralampos1,Papavasileiou Konstantinos D.12ORCID,Papatzelos Stavros1,Mavrogiorgis Angelos1,Zacharia Lefteris C.3ORCID,Melagraki Georgia4,Afantitis Antreas125ORCID

Affiliation:

1. Department of ChemInformatics, NovaMechanics Ltd., Nicosia 1070, Cyprus

2. Department of ChemInformatics, NovaMechanics MIKE, 18545 Piraeus, Greece

3. School of Life and Health Sciences, University of Nicosia, Nicosia 1700, Cyprus

4. Division of Physical Sciences and Applications, Hellenic Military Academy, 16672 Vari, Greece

5. Division of Data Driven Innovation, Entelos Institute, Larnaca 6059, Cyprus

Abstract

Tobacco smoking has been highlighted as a major health challenge in modern societies. Despite not causing death directly, smoking has been associated with several health issues, such as cardiovascular diseases, respiratory disorders, and several cancer types. Moreover, exposure to nicotine during pregnancy has been associated with adverse neurological disorders in babies. Nicotine Replacement Therapy (NRT) is the most common strategy employed for smoking cessation, but despite its widespread use, NRT presents with low success and adherence rates. This is attributed partially to the rate of nicotine metabolism by cytochrome P450 2A6 (CYP2A6) in each individual. Nicotine addiction is correlated with the high rate of its metabolism, and thus, novel strategies need to be implemented in NRT protocols. Naturally derived products are a cost-efficient and rich source for potential inhibitors, with the main advantages being their abundance and ease of isolation. This systematic review aims to summarize the natural products that have been identified as CYP2A6 inhibitors, validated through in vitro and/or in vivo assays, and could be implemented as nicotine metabolism inhibitors. The scope is to present the different compounds and highlight their possible implementation in NRT strategies. Additionally, this information would provide valuable insight regarding CYP2A6 inhibitors, that can be utilized in drug development via the use of in silico methodologies and machine-learning models to identify new potential lead compounds for optimization and implementation in NRT regimes.

Funder

Research and Innovation Foundation

EU H2020 project EthnoHERBS

Publisher

MDPI AG

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