Systematic Review of Naturally Derived Substances That Act as Inhibitors of the Nicotine Metabolizing Enzyme Cytochrome P450 2A6.
Haralampos TzoupisKonstantinos D PapavasileiouStavros PapatzelosAngelos MavrogiorgisLefteris C ZachariaGeorgia MelagrakiAntreas AfantitisPublished in: International journal of molecular sciences (2024)
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.
Keyphrases
- smoking cessation
- replacement therapy
- systematic review
- healthcare
- machine learning
- public health
- cardiovascular disease
- meta analyses
- health information
- mental health
- human health
- quality improvement
- high throughput
- randomized controlled trial
- drinking water
- young adults
- artificial intelligence
- metabolic syndrome
- molecular docking
- papillary thyroid
- single cell
- type diabetes
- big data
- squamous cell
- molecular dynamics simulations