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辣椒素类化合物的计算机辅助配体识别及其在代谢性疾病中的潜在作用

Computer-aided ligand identification of capsaicinoids and their potential functions in metabolic diseases.

作者信息

Sobrevilla-Navarro Ana Alondra, Ramos-Lopez Omar, Landeros-Sánchez Bertha, Sánchez-Parada María Guadalupe, González-Santiago Ana Elizabeth

机构信息

Facultad de Medicina y Psicología, Universidad Autónoma de Baja California, 22390, Tijuana, México.

Departamento de Ciencias Biomédicas, Centro Universitario de Tonalá, Universidad de Guadalajara, 45425, Guadalajara, México.

出版信息

Mol Divers. 2025 Apr 19. doi: 10.1007/s11030-025-11182-x.

Abstract

Obesity, diabetes, and cardiovascular diseases are major health concerns worldwide. In recent times, research has focused on identifying food-derived molecules and their relationship with metabolic diseases. A study was conducted to establish a process for characterizing the biological targets of capsaicinoids found in chili peppers. Capsaicinoids are a group of compounds including Capsaicin, Dihydrocapsaicin, Nordihydrocapsaicin, Homodihydrocapsaicin, Homocapsaicin, and Nonivamide. The study aimed to use bioinformatics tools to analyze these compounds and their effect on metabolic targets. To achieve this, a search was conducted for SMILES sequences of chili pepper capsaicinoids. The 2D and 3D similarity analyses were performed with compounds known to be experimentally active on their protein targets. These ligands were then analyzed, and predictions were made about enriched biological terms and bio-pathways. A protein-protein interaction analysis was performed on metabolic targets. Additionally, pharmacokinetics and CYP450 interaction prediction were analyzed using capsaicinoids. The molecular activity of the identified ligands for the six capsaicinoids were classified as G-protein-coupled receptors, proteases, membrane receptors, oxidoreductases, erasers, electrochemical transporters, cytochrome P450s, and hydrolases. There are several signaling pathways modulated by capsaicinoids, including insulin signaling, insulin resistance, AGE-RAGE signaling in diabetic complications, endocrine resistance, lipid metabolism, and atherosclerosis. The study found that capsaicin interacts more strongly with pathways that are important in metabolic diseases, such as obesity, cancer, diabetes mellitus, and their complications. These findings could be useful in developing strategies to mitigate the impact of metabolic diseases.

摘要

肥胖、糖尿病和心血管疾病是全球主要的健康问题。近年来,研究集中在识别食物衍生分子及其与代谢性疾病的关系上。一项研究旨在建立一种表征辣椒中辣椒素类生物靶点的方法。辣椒素类是一组化合物,包括辣椒素、二氢辣椒素、去甲二氢辣椒素、高二氢辣椒素、高辣椒素和壬酰香草胺。该研究旨在使用生物信息学工具分析这些化合物及其对代谢靶点的影响。为实现这一目标,对辣椒辣椒素类的SMILES序列进行了搜索。对已知在其蛋白质靶点上具有实验活性的化合物进行了二维和三维相似性分析。然后对这些配体进行分析,并对富集的生物学术语和生物途径进行预测。对代谢靶点进行了蛋白质-蛋白质相互作用分析。此外,还使用辣椒素类分析了药代动力学和CYP450相互作用预测。所鉴定的六种辣椒素类配体的分子活性被分类为G蛋白偶联受体、蛋白酶、膜受体、氧化还原酶、擦除酶、电化学转运体、细胞色素P450和水解酶。有几种信号通路受辣椒素类调节,包括胰岛素信号传导、胰岛素抵抗、糖尿病并发症中的AGE-RAGE信号传导、内分泌抵抗、脂质代谢和动脉粥样硬化。研究发现,辣椒素与肥胖、癌症、糖尿病及其并发症等代谢性疾病中重要的信号通路相互作用更强。这些发现可能有助于制定减轻代谢性疾病影响的策略。

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