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一种基于关联规则挖掘的新型食品功效FCTF评估与预测模型。

A novel FCTF evaluation and prediction model for food efficacy based on association rule mining.

作者信息

Liu Yaqun, Zhang Zhenxia, Lin Wanling, Liang Hongxuan, Lin Min, Wang Junli, Chen Lianghui, Yang Peikui, Liu Mouquan, Zheng Yuzhong

机构信息

School of Food Engineering and Biotechnology, Hanshan Normal University, Chaozhou, Guangdong, China.

School of Laboratory Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi, China.

出版信息

Front Nutr. 2023 Aug 28;10:1170084. doi: 10.3389/fnut.2023.1170084. eCollection 2023.

DOI:10.3389/fnut.2023.1170084
PMID:37701374
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10493461/
Abstract

INTRODUCTION

Food-components-target-function (FCTF) is an evaluation and prediction model based on association rule mining (ARM) and network interaction analysis, which is an innovative exploration of interdisciplinary integration in the food field.

METHODS

Using the components as the basis, the targets and functions are comprehensively explored in various databases and platforms under the guidance of the ARM concept. The focused active components, key targets and preferred efficacy are then analyzed by different interaction calculations. The FCTF model is particularly suitable for preliminary studies of medicinal plants in remote and poor areas.

RESULTS

The FCTF model of the local medicinal food Laoxianghuang focuses on the efficacy of digestive system cancers and neurological diseases, with key targets ACE, PTGS2, CYP2C19 and corresponding active components citronellal, trans-nerolidol, linalool, geraniol, α-terpineol, cadinene and α-pinene.

DISCUSSION

Centuries of traditional experience point to the efficacy of Laoxianghuang in alleviating digestive disorders, and our established FCTF model of Laoxianghuang not only demonstrates this but also extends to its possible adjunctive efficacy in neurological diseases, which deserves later exploration. The FCTF model is based on the main line of components to target and efficacy and optimizes the research level from different dimensions and aspects of interaction analysis, hoping to make some contribution to the future development of the food discipline.

摘要

引言

食品成分-靶点-功能(FCTF)是一种基于关联规则挖掘(ARM)和网络相互作用分析的评估与预测模型,是食品领域跨学科整合的创新性探索。

方法

以成分作为基础,在ARM概念的指导下,在各种数据库和平台中全面探索靶点和功能。然后通过不同的相互作用计算分析重点活性成分、关键靶点和优先功效。FCTF模型特别适用于偏远贫困地区药用植物的初步研究。

结果

当地药食两用的老香黄的FCTF模型聚焦于消化系统癌症和神经系统疾病的功效,关键靶点为ACE、PTGS2、CYP2C19,相应的活性成分为香茅醛、反式橙花叔醇、芳樟醇、香叶醇、α-松油醇、杜松烯和α-蒎烯。

讨论

几个世纪的传统经验表明老香黄在缓解消化紊乱方面的功效,我们建立的老香黄FCTF模型不仅证实了这一点,还扩展到其在神经系统疾病方面可能的辅助功效,值得后续探索。FCTF模型以成分-靶点-功效为主线,从相互作用分析的不同维度和方面优化研究水平,希望为食品学科的未来发展做出一些贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d79/10493461/670ce7daabb7/fnut-10-1170084-g007.jpg
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