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基于网络鲁棒性和数据挖掘的阳痿核心处方筛选与评价

[Screening and evaluation of core prescriptions for impotence based on network robustness and data mining].

作者信息

Li Yu, Zhang Feng-Rong, Wang Huan-Huan, Chang Meng-Li, Xu He, Zhang Yi, Tang Shi-Huan

机构信息

Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2024 Aug;49(15):4230-4237. doi: 10.19540/j.cnki.cjcmm.20240510.501.

Abstract

This study aims to explore and analyze ancient proven prescriptions and famous physician cases for treating impotence, so as to obtain the core prescriptions for traditional Chinese medicine(TCM) treatment of impotence. It further selected and evaluated these core prescriptions to provide a demonstration for the development of new drugs for advantageous diseases treated with TCM. Through the retrieval of ancient proven prescriptions and famous physician cases for treating impotence, a database of prescriptions for treating impotence was established, and the TCM inheritance computational platform was used to explore and analyze the medication patterns of these proven prescriptions and famous physician cases. Based on the TCM efficacy prediction platform of network robustness, the interference scores of core prescriptions in the ancient proven prescriptions and famous physician cases were calculated and analyzed. On this basis, the results of ancient proven prescriptions, famous physician cases, and computational analysis were comprehensively evaluated to determine the development priority level of the core prescriptions obtained through clustering. The results revealed that medicines in the ancient proven prescriptions and famous physician cases primarily aimed at tonifying deficiency, promoting blood circulation, eliminating blood stasis, clearing heat, and resolving external symptoms, with a particular focus on warm-natured and sweet-flavored medicines associated with the spleen, liver, kidney, and lung meridians. The core prescriptions obtained from the clustering analysis of ancient proven prescriptions and famous physician cases indicated that ancient proven prescriptions combination 1 had the most perturbing effect on the disease network as determined by network robustness analysis. A comprehensive evaluation indicated that prescription combination 1 had the most optimal development potential. TCM treatment for impotence focused on regulating the functions of the spleen, liver, kidney, and lung, aiming to tonify deficiency, with heat-clearing, blood-activating, stasis-resolving, and exterior-releasing medications supplemented. The obtained ancient proven prescriptions combination 1 exhibited the highest potential development value. The integrated strategy of "ancient proven prescriptions-famous physician cases-computational analysis" can be utilized to screen candidate TCM new drug prescriptions.

摘要

本研究旨在探索和分析古代验方及名医治阳痿医案,以获取中医治疗阳痿的核心方剂。进一步对这些核心方剂进行筛选和评价,为中医优势病种新药研发提供示范。通过检索古代治疗阳痿的验方及名医治案,建立了治疗阳痿的方剂数据库,并运用中医传承计算平台对这些验方和名医治案的用药规律进行探索和分析。基于网络稳健性的中医功效预测平台,计算并分析古代验方和名医治案中核心方剂的干扰得分。在此基础上,综合评价古代验方、名医治案及计算分析结果,确定聚类得到的核心方剂的开发优先级。结果显示,古代验方和名医治案中的药物主要以补虚、活血化瘀、清热、解表为主,尤其注重与脾、肝、肾、肺经相关的温性和甜味药物。通过对古代验方和名医治案聚类分析得到的核心方剂表明,经网络稳健性分析,古代验方组合1对疾病网络的扰动作用最大。综合评价表明,方剂组合1具有最佳的开发潜力。中医治疗阳痿注重调节脾、肝、肾、肺的功能,以补虚为主,辅以清热、活血、化瘀、解表药物。所得到的古代验方组合1具有最高潜在开发价值。“古代验方-名医治案-计算分析”的整合策略可用于筛选中医新药候选方剂。

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