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三种品种中的酚类化合物和辣椒素:从分析特性到生物活性的计算机模拟假设。

Phenolic Compounds and Capsaicinoids in Three Varieties: From Analytical Characterization to In Silico Hypotheses on Biological Activity.

机构信息

Institute of Food Sciences, National Research Council, Via Roma 64, 83100 Avellino, Italy.

Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy.

出版信息

Molecules. 2023 Sep 22;28(19):6772. doi: 10.3390/molecules28196772.

Abstract

The affinity of specific phenolic compounds (PCs) and capsaicinoids (CAPs) present in three varieties (Friariello, Cayenne and Dzuljunska Sipka) to the transient receptor potential vanilloid member 1 (TRPV1) was investigated by integrating an analytic approach for the simultaneous extraction and analysis through high-performance liquid chromatography coupled with ion trap mass spectrometry (HPLC/ITMS) and UV detection (HPLC-UV) of PCs and CAPs and structural bioinformatics based on the protein modelling and molecular simulations of protein-ligand docking. Overall, a total of 35 compounds were identified in the different samples and CAPs were quantified. The highest content of total polyphenols was recorded in the pungent Dzuljunska Sipka variety (8.91 ± 0.05 gGAE/Kg DW) while the lowest was found in the non-pungent variety Friariello (3.58 ± 0.02 gGAE/Kg DW). Protein modelling generated for the first time a complete model of the homotetrameric human TRPV1, and it was used for docking simulations with the compounds detected via the analytic approach, as well as with other compounds, as an inhibitor reference. The simulations indicate that different capsaicinoids can interact with the receptor, providing details on the molecular interaction, with similar predicted binding energy values. These results offer new insights into the interaction of capsaicinoids with TRPV1 and their possible actions.

摘要

研究了三种品种(Friariello、Cayenne 和 Dzuljunska Sipka)中特定酚类化合物(PCs)和辣椒素(CAPs)与瞬时受体电位香草素 1(TRPV1)的亲和力,方法是整合分析方法,通过高效液相色谱与离子阱质谱联用(HPLC/ITMS)和紫外检测(HPLC-UV)同时提取和分析 PCs 和 CAPs,并基于蛋白质建模和蛋白质-配体对接的分子模拟进行结构生物信息学研究。总体而言,在不同的样品中鉴定出 35 种化合物,并对 CAPs 进行了定量分析。在最辣的 Dzuljunska Sipka 品种中记录到总多酚的含量最高(8.91 ± 0.05 gGAE/Kg DW),而在不辣的 Friariello 品种中含量最低(3.58 ± 0.02 gGAE/Kg DW)。首次为同源四聚体人 TRPV1 生成完整模型的蛋白质建模,并将其用于通过分析方法检测到的化合物以及作为抑制剂参考的其他化合物的对接模拟。模拟表明,不同的辣椒素可以与受体相互作用,提供有关分子相互作用的详细信息,具有相似的预测结合能值。这些结果为辣椒素与 TRPV1 的相互作用及其可能的作用提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e59/10574069/b39b12322e2e/molecules-28-06772-g001.jpg

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