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埃塞俄比亚传统医学的数据挖掘与计算机模拟分析：揭示阿比西尼亚酸模的治疗潜力

Data Mining and in Silico Analysis of Ethiopian Traditional Medicine: Unveiling the Therapeutic Potential of Rumex abyssinicus Jacq.

作者信息

Bultum Lemessa Etana, Kim Gwangmin, Lee Seon-Woo, Lee Doheon

机构信息

Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea.

Bio-Synergy Research Center, Daejeon, South Korea.

出版信息

Cell Biochem Biophys. 2025 Mar;83(1):467-488. doi: 10.1007/s12013-024-01478-4. Epub 2024 Aug 17.

DOI:10.1007/s12013-024-01478-4
PMID:39154130
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11870893/
Abstract

Multicomponent traditional medicine prescriptions are widely used in Ethiopia for disease treatment. However, inconsistencies across practitioners, cultures, and locations have hindered the development of reliable therapeutic medicines. Systematic analysis of traditional medicine data is crucial for identifying consistent and reliable medicinal materials. In this study, we compiled and analyzed a dataset of 505 prescriptions, encompassing 567 medicinal materials used for treating 106 diseases. Using association rule mining, we identified significant associations between diseases and medicinal materials. Notably, wound healing-the most frequently treated condition-was strongly associated with Rumex abyssinicus Jacq., showing a high support value. This association led to further in silico and network analysis of R. abyssinicus Jacq. compounds, revealing 756 therapeutic targets enriched in various KEGG pathways and biological processes. The Random-Walk with Restart (RWR) algorithm applied to the CODA PPI network identified these targets as linked to diseases such as cancer, inflammation, and metabolic, immune, respiratory, and neurological disorders. Many hub target genes from the PPI network were also directly associated with wound healing, supporting the traditional use of R. abyssinicus Jacq. for treating wounds. In conclusion, this study uncovers significant associations between diseases and medicinal materials in Ethiopian traditional medicine, emphasizing the therapeutic potential of R. abyssinicus Jacq. These findings provide a foundation for further research, including in vitro and in vivo studies, to explore and validate the efficacy of traditional and natural product-derived medicines.

摘要

多成分传统医学处方在埃塞俄比亚被广泛用于疾病治疗。然而，从业者、文化和地域之间的不一致阻碍了可靠治疗药物的开发。对传统医学数据进行系统分析对于确定一致且可靠的药材至关重要。在本研究中，我们汇编并分析了一个包含505个处方的数据集，其中涵盖了用于治疗106种疾病的567种药材。通过关联规则挖掘，我们确定了疾病与药材之间的显著关联。值得注意的是，伤口愈合（最常治疗的病症）与阿比西尼亚酸模（Rumex abyssinicus Jacq.）密切相关，具有较高的支持度值。这种关联促使对阿比西尼亚酸模化合物进行进一步的计算机模拟和网络分析，揭示了756个富集于各种KEGG通路和生物过程中的治疗靶点。应用于CODA蛋白质-蛋白质相互作用（PPI）网络的随机游走重启（RWR）算法将这些靶点确定为与癌症、炎症以及代谢、免疫、呼吸和神经疾病等相关。PPI网络中的许多枢纽靶基因也与伤口愈合直接相关，支持了阿比西尼亚酸模用于治疗伤口的传统用途。总之，本研究揭示了埃塞俄比亚传统医学中疾病与药材之间的显著关联，强调了阿比西尼亚酸模的治疗潜力。这些发现为进一步研究提供了基础，包括体外和体内研究，以探索和验证传统及天然产物衍生药物的疗效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57fb/11870893/077aec8f05b2/12013_2024_1478_Fig13_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57fb/11870893/8a5d7e6c9d97/12013_2024_1478_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57fb/11870893/a7b10c74e113/12013_2024_1478_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57fb/11870893/d22988b5fd11/12013_2024_1478_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57fb/11870893/c3d777686f85/12013_2024_1478_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57fb/11870893/853369e17d0f/12013_2024_1478_Fig11_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57fb/11870893/077aec8f05b2/12013_2024_1478_Fig13_HTML.jpg

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