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基于多种生物信息学分析的 Debeaux 主导药效作用器官的发现和预测研究。

Discovery and Prediction Study of the Dominant Pharmacological Action Organ of Debeaux Using Multiple Bioinformatic Analyses.

机构信息

Korean Medicine (KM) Data Division, Korea Institute of Oriental Medicine, Daejeon 34054, Republic of Korea.

KM Convergence Research Division, Korea Institute of Oriental Medicine, Daejeon 34054, Republic of Korea.

出版信息

Int J Mol Sci. 2024 Sep 23;25(18):10219. doi: 10.3390/ijms251810219.

DOI:10.3390/ijms251810219
PMID:39337710
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11432385/
Abstract

Herbs, such as Debeaux (ACD), have long been used as therapies, but it is difficult to identify which organs of the human body are affected by the various compounds. In this study, we predicted the organ where the drug predominantly acts using bioinformatics and verified it using transcriptomics. We constructed a computer-aided brain system network (BSN) and intestinal system network (ISN). We predicted the action points of ACD using network pharmacology (NP) analysis and predicted the dockable proteins acting in the BSN and ISN using statistical-based docking analysis. The predicted results were verified using ACD-induced transcriptome analysis. The predicted results showed that both the NP and docking analyses predominantly acted on the BSN and showed better hit rates in the hub nodes. In addition, we confirmed through verification experiments that the SW1783 cell line had more than 10 times more differentially expressed genes than the HT29 cell line and that the dominant acting organ is the brain, using network dimension spanning analysis. In conclusion, we found that ACD preferentially acts in the brain rather than in the intestine, and this multi-bioinformatics-based approach is expected to be used in future studies of drug efficacy and side effects.

摘要

草药,如 Debeaux(ACD),长期以来一直被用作治疗方法,但很难确定人体的哪些器官受到各种化合物的影响。在这项研究中,我们使用生物信息学预测药物主要作用的器官,并使用转录组学进行验证。我们构建了一个计算机辅助的大脑系统网络(BSN)和肠道系统网络(ISN)。我们使用网络药理学(NP)分析预测 ACD 的作用点,并使用基于统计的对接分析预测在 BSN 和 ISN 中起作用的可对接蛋白。使用 ACD 诱导的转录组分析验证预测结果。预测结果表明,NP 和对接分析都主要作用于 BSN,并且在枢纽节点上显示出更好的命中率。此外,我们通过验证实验证实,使用网络维度跨越分析,SW1783 细胞系的差异表达基因数量是 HT29 细胞系的 10 倍以上,并且优势作用器官是大脑。综上所述,我们发现 ACD 优先作用于大脑而不是肠道,这种基于多生物信息学的方法有望在未来的药物疗效和副作用研究中得到应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e34/11432385/6d4133ff7974/ijms-25-10219-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e34/11432385/96fd47972afc/ijms-25-10219-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e34/11432385/75f6259eb972/ijms-25-10219-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e34/11432385/6d4133ff7974/ijms-25-10219-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e34/11432385/96fd47972afc/ijms-25-10219-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e34/11432385/d21d853fe5ba/ijms-25-10219-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e34/11432385/50743d264119/ijms-25-10219-g003.jpg
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