一种基于酶的功能关联算法,用于多种药物,揭示了传统中医药的潜在机制:以建皮益申公式为例
Ying-Hao Yin1, Chang-Hui Li1, Hai-Piao Huang1
1Shenzhen Key Laboratory of Hospital Chinese Medicine Preparation, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen 518033, China.
一个新的基于酶的功能相关性 (EBFC) 算法增强了对传统中医 (TCM) 如何影响慢性病 (CKD) 的理解. 这种方法揭示了Jian-Pi-Yi-Shen (JPYS) 公式如何重塑肠道微生物群和血清代谢组来治疗CKD.
科学领域:
- 微生物组研究的研究.
- 代谢学 代谢学 代谢学
- 传统中国医学 (TCM) 是一种
背景情况:
- 对宿主代谢和肠道微生物组的综合分析是了解TCM机制的关键.
- 传统的相关性方法往往忽视了生物意义和功能相关性.
研究的目的:
- 开发一种新的基于酶的功能相关性 (EBFC) 算法,以提高微生物-代谢物相关性的解释性.
- 揭示使用EBFC算法治疗慢性病 (CKD) 的 Jian-Pi-Yi-Shen (JPYS) 公式的治疗机制.
主要方法:
- 在Spearman的分析基础上开发了一种新的基于酶的功能关联 (EBFC) 算法.
- 应用EBFC算法来分析用JPYS配方治疗的腺因诱导CKD大鼠的血清代谢和肠道微生物组数据.
- 在扰乱的代谢物,微生物群和相关酶之间进行了相关性分析.
主要成果:
- 在CKD大鼠中,JPYS治疗显著调节了11种代谢物和19种细菌属,使其达到正常水平.
- 该EBFC算法成功地确定了代谢物和肠道微生物群之间的功能相关性.
- 研究结果表明,JPYS通过重塑乱的新陈代谢和肠道微生物群来改善CKD.
结论:
- 该EBFC算法为微生物-代谢物相互作用提供了增强的解释性.
- 这项研究为JPYS治疗CKD的治疗机制提供了新的见解.
- 这些发现有助于了解CKD病原体和TCM疗效.
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