Prescription Data Mining and Network Pharmacology Study of 1152 Patients with Rectal Prolapse Using Traditional Chinese Medicine.

Meng Zhang, Shao-Liang Tang, Tong-Ling Yang, Yan Cheng, Yue Gong
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Abstract

Background: In recent years, the incidence of rectal prolapse has increased significantly due to the sedentary lifestyle and irregular eating habits of modern life. However, there is a lack of clinical studies on the treatment of rectal prolapse with traditional Chinese medicine (TCM) with a large sample size. Therefore, this study investigated the characteristics of rectal prolapse treatment formulas and then studied the network pharmacology of their core therapeutic drugs, which can help to provide a reference for the treatment and postoperative care of rectal prolapse patients.

Objective: This study aimed to explore the prescription characteristics and the mechanism of action of core drugs in the treatment of rectal prolapse in Chinese medicine through data mining and bioinformatics techniques.

Methods: We collected the diagnosis and treatment information of patients with rectal prolapse from January 2014 to September 2021 in the electronic case database of Nanjing Hospital of TCM, mined the patient information and prescription features using R, screened the active ingredients of the core pairs of drugs and disease drug intersection targets using TCMSP and GnenCard databases, and constructed a Protein-protein interaction (PPI) network using STRING and Cytoscape, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of the intersecting targets were performed using Metascape and R.

Results: We found that prolapse is easy to occur in people over 50 years old, preferably in autumn and winter. Commonly used therapeutic Chinese medicines include Glycyrrhiza glabra, Radix angelicae sinensis, Radix astragali, Atractylodes macrocephala, and Pericarpium citri reticulatae, which are mostly deficiency tonic medicines, warm in nature, and belong to spleen meridian. The core therapeutic medicinal pair was "Bupleuri radix-Cimicifugae rhizoma". There were 190 common targets of Bupleuri radix and Cimicifugae rhizoma, and 71 intersection targets of the drug pair and prolapse. The main components of the core drugs for the treatment of prolapse may be quercetin, kaempferol, Stigmasterol, etc, and the core targets may be CASP3, AKT1, HIF1A, etc. The total number of GO entries for the intersection targets of "Bupleuri radix-Cimicifugae rhizoma" and diseases was 3495, among which the molecular functions accounted for the largest proportion, mainly Pathways in cancer, IL-18 signaling pathway, etc. KEGG enriched pathway analysis yielded 168 results, and the major pathways were pathways in cancer, lipid and atherosclerosis, IL-17 signaling pathway, etc. Conclusion: This study adopted real-world research methodology and used data mining and bioinformatics technology to mine the medication law of rectal prolapse and its core drug action mechanism from the clinical information of Chinese medicine.

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对 1152 名直肠脱垂患者的中药处方数据挖掘与网络药理学研究
背景:近年来,由于现代人久坐不动的生活方式和不规律的饮食习惯,直肠脱垂的发病率明显增加。然而,目前尚缺乏大样本量的中药治疗直肠脱垂的临床研究。因此,本研究通过探究直肠脱垂治疗方剂的特点,进而研究其核心治疗药物的网络药理学,有助于为直肠脱垂患者的治疗和术后护理提供参考:本研究旨在通过数据挖掘和生物信息学技术,探讨中医治疗直肠脱垂的处方特点和核心药物的作用机制:收集南京市中医院电子病例数据库中2014年1月至2021年9月直肠脱垂患者的诊疗信息,利用R语言挖掘患者信息和处方特征,利用TCMSP和GnenCard数据库筛选核心配伍药物的有效成分和疾病药物交叉靶点,构建蛋白质-蛋白质相互作用模型、并利用STRING和Cytoscape构建了蛋白质-蛋白质相互作用(PPI)网络,利用Metascape和R对交叉靶点进行了基因本体(GO)和京都基因组百科全书(KEGG)富集分析。结果我们发现,脱肛易发于 50 岁以上人群,好发于秋冬季节。常用的治疗中药有甘草、当归、黄芪、白术、陈皮等,多为补虚药,性温,归脾经。核心药对为 "柴胡-知母"。柴胡与蝉蜕的共同靶点有 190 个,药对与脱肛的交叉靶点有 71 个。治疗脱肛的核心药物的主要成分可能是槲皮素、山柰醇、豆甾醇等,核心靶点可能是 CASP3、AKT1、HIF1A 等。柴胡与疾病交叉靶标的GO条目总数为3495个,其中分子功能占比最大,主要有癌症通路、IL-18信号通路等。KEGG 富集通路分析结果为 168 条,主要通路为癌症通路、脂质与动脉粥样硬化通路、IL-17 信号通路等。结论本研究采用真实世界研究方法,利用数据挖掘和生物信息学技术,从中药临床信息中挖掘直肠脱垂的用药规律及其核心药物作用机制。
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