天然产物研究与开发 ›› 2026, Vol. 38 ›› Issue (2): 450-453.doi: 10.16333/j.1001-6880.2026.2.022 cstr: 32307.14.1001-6880.2026.2.022

• 资讯 · 动态 • 上一篇    下一篇

肉豆蔻醚摄入对帕金森病及抑郁症的毒性机制分析数据集

王  昕1,2,3,张  瑜2,袁  博2,邸多隆1,3*   

  1. 1甘肃中医药大学药学院;2甘肃中医药大学附属医院;3中国科学院兰州化学物理研究所 中国科学院西北特色植物资源化学重点实验室 甘肃省天然药物重点实验室,兰州 730000
  • 出版日期:2026-02-26 发布日期:2026-02-25
  • 基金资助:
    四川省科技计划(2023YFS0339);甘肃省研究生"创新之星"项目(2025CXZX-923)

A dataset of the toxicological effects and mechanisms of myristicin intake on Parkinson′s disease and depression

WANG Xin1,2,3,ZHANG Yu2,YUAN Bo2,DI Duo-Long1,3*   

  1. 1School of Pharmacy,Gansu University of Chinese Medicine; 2 Affiliated Hospital of Gansu University of Chinese Medicine; 3 Key Laboratory of Chemistry of Specialty Plant Resources of Northwest China,Chinese Academy of Sciences; Key Laboratory of Natural Medicines of Gansu Province,Lanzhou Institute of Chemical Physics,Chinese Academy of Sciences,Lanzhou 730000,China
  • Online:2026-02-26 Published:2026-02-25

摘要:

本数据集分析了食品香料肉豆蔻中的肉豆蔻醚的潜在神经毒性,整合PubChem、TCMSP、GeneCards、HERB、OMIM、STRING、DAVID、NCBI GEO与PDB等公共资源,形成“化合物—靶点—网络/富集—表达验证—分子对接”的多层数据链。数据集包含8个表格(肉豆蔻醚ADMET信息、肉豆蔻醚靶点、帕金森病与抑郁症相靶点及交集靶点、GEO数据库验证肉豆蔻醚诱导的帕金森病和抑郁症的差异表达基因)和5张图(肉豆蔻醚摄入对帕金森病及抑郁症的毒性机制分析的PPI网络图、GO和KEGG分析结果、GEO数据库验证的肉豆蔻醚诱导帕金森病和抑郁症中相关靶点表达差异统计分析图,以及核心靶点的分子对接结果图)。该数据集可为帕金森病和抑郁症的共病风险信号筛查以及肉豆蔻醚相关的食品质量控制策略提供参考依据。

关键词: 肉豆蔻醚, 帕金森病, 抑郁症, 网络药理学, GEO数据库, 数据集

Abstract:

This dataset investigates the potential neurotoxicity of myristicin,a compound found in the food spice nutmeg.By integrating data from public resources including PubChem,TCMSP,GeneCards,HERB,OMIM,STRING,DAVID,NCBI GEO and PDB,a multi-layered analytical pipeline was constructed following the sequence of "compound-target -network/enrichment-expression validation-molecular docking." The dataset comprises eight tables (including myristicin ADMET profiles,predicted targets of myristicin,targets associated with Parkinson′s disease and depression,and their intersecting targets,as well as differentially expressed genes validated via the GEO database for myristicin-induced Parkinson′s disease and depression models) and five figures (including the PPI network for toxicity mechanism analysis,GO and KEGG enrichment analysis results,statistical analysis of expression differences for relevant targets validated in GEO datasets,and molecular docking results for core targets).This dataset provides a reference for screening comorbidity risk signals in Parkinson′s disease and depression,as well as for informing food quality control strategies related to myristicin.

Key words: myristicin, Parkinson′s disease, depression, network pharmacology, GEO database, dataset