Exploring the role of Yuxuebi tablet in neuropathic pain with the method of similarity research of drug pharmacological effects based on unsupervised machine learning

IF 4.4 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Xiao Du, Chunhui Zhao, Yujie Xi, Pengfei Lin, Huihui Liu, Shuling Wang, Feifei Guo
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Abstract

IntroductionHaving multiple pharmacological effects is a characteristic of Traditional Chinese Medicine (TCM). Currently, there is a lack of suitable methods to explore and discover modern diseases suitable for TCM treatment using this characteristic. Unsupervised machine learning technology is an efficient strategy to predict the pharmacological activity of drugs. This study takes Yuxuebi Tablet (YXB) as the research object. Using the unsupervised machine learning technology of drug cell functional fingerprint similarity research, the potential pharmacological effects of YXB were discovered and verified.MethodsLC-MS combined with the in vitro intestinal absorption method was used to identify components of YXB that could be absorbed by the intestinal tract of rats. Unsupervised learning hierarchical clustering was used to calculate the degree of similarity of cellular functional fingerprints between these components and 121 marketed Western drugs whose indications are diseases and symptoms that YXB is commonly used to treat. Then, based on the Library of Integrated Network-based Cellular Signatures database, pathway analysis was performed for selected Western drugs with high similarity in cellular functional fingerprints with the components of YXB to discover the potential pharmacological effects of YXB, which were validated by animal experiments.ResultsWe identified 40 intestinally absorbed components of YXB. Through predictive studies, we found that they have pharmacological effects very similar to non-steroidal anti-inflammatory drugs (NSAIDs) and corticosteroids. In addition, we found that they have very similar pharmacological effects to anti-neuropathic pain medications (such as gabapentin, duloxetine, and pethidine) and may inhibit the NF-κB signaling pathway and biological processes related to pain perception. Therefore, YXB may have an antinociceptive effect on neuropathic pain. Finally, we demonstrated that YXB significantly reduced neuropathic pain in a rat model of sciatic nerve chronic constriction injury (CCI). Transcriptome analysis further revealed that YXB regulates the expression of multiple genes involved in nerve injury repair, signal transduction, ion channels, and inflammatory response, with key regulatory targets including Sgk1, Sst, Isl1, and Shh.ConclusionThis study successfully identified and confirmed the previously unknown pharmacological activity of YXB against neuropathic pain through unsupervised learning prediction and experimental verification.
基于无监督机器学习的药物药效相似性研究方法探讨玉雪碧片在神经病理性疼痛中的作用
引言 具有多重药理作用是中药的一个特点。目前,利用这一特点探索和发现适合中医药治疗的现代疾病还缺乏合适的方法。无监督机器学习技术是预测药物药理活性的有效策略。本研究以玉雪碧片(YXB)为研究对象。方法采用LC-MS结合体外肠道吸收法鉴定玉雪碧片中可被大鼠肠道吸收的成分。采用无监督学习分层聚类法计算了这些成分与121种上市西药的细胞功能指纹相似度,这些西药的适应症是YXB常用于治疗的疾病和症状。然后,基于基于集成网络的细胞特征库,对选定的与 YXB 成分具有高度相似性的西药进行通路分析,以发现 YXB 的潜在药理作用,并通过动物实验进行验证。通过预测研究,我们发现它们的药理作用与非类固醇抗炎药(NSAIDs)和皮质类固醇非常相似。此外,我们还发现它们的药理作用与抗神经性疼痛药物(如加巴喷丁、度洛西汀和哌替啶)非常相似,并可能抑制 NF-κB 信号通路和与痛觉相关的生物过程。因此,YXB 可能对神经病理性疼痛有抗痛作用。最后,我们证明了 YXB 能显著减轻坐骨神经慢性收缩性损伤(CCI)大鼠模型的神经病理性疼痛。转录组分析进一步显示,YXB 可调控涉及神经损伤修复、信号转导、离子通道和炎症反应的多个基因的表达,其关键调控靶点包括 Sgk1、Sst、Isl1 和 Shh。
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来源期刊
Frontiers in Pharmacology
Frontiers in Pharmacology PHARMACOLOGY & PHARMACY-
CiteScore
7.80
自引率
8.90%
发文量
5163
审稿时长
14 weeks
期刊介绍: Frontiers in Pharmacology is a leading journal in its field, publishing rigorously peer-reviewed research across disciplines, including basic and clinical pharmacology, medicinal chemistry, pharmacy and toxicology. Field Chief Editor Heike Wulff at UC Davis is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.
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