基于血清外泌体蛋白组复杂网络分析的电针潜在治疗病症预测  

Study on potential therapeutic diseases of acupuncture based on proteomics of serum exosome combined with complex network analysis

作　　者：陈勇 陈泽林[1,2,3] 陈波 郭义[1,2,4] 公一囡 李柠岑[1] 杨克俭 李牧洋 单凯 王美娟 张靖宇 林小伟 房钰鑫 李明月 CHEN Yong;CHEN Ze-lin;CHEN Bo;GUO Yi;GONG Yi-nan;LI Ning-cen;YANG Ke-jian;LI Mu-yang;SHAN Kai;WANG Mei-juan;ZHANG Jing-yu;LIN Xiao-wei;FANG Yu-xin;LI Ming-yue(Acupuncture Research Center,Tianjin University of Traditional Chinese Medicine,Tianjin 301617,China;College of Acupuncture&Moxibustion and Tuina,Tianjin University of Traditional Chinese Medicine,Tianjin 301617,China;National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion,Tianjin 301617,China;College of Traditional Chinese Medicine,Tianjin University of Traditional Chinese Medicine,Tianjin301617,China)

机构地区：[1]天津中医药大学实验针灸学研究中心,天津301617 [2]天津中医药大学针灸推拿学院,天津301617 [3]国家中医针灸临床医学研究中心,天津301617 [4]天津中医药大学中医学院,天津301617

出　　处：《中华中医药杂志》2022年第7期4125-4129,共5页China Journal of Traditional Chinese Medicine and Pharmacy

基　　金：国家自然科学基金青年科学基金项目(No.82004467);中国科协青年人才托举工程项目(No.2019-2021ZGZJXH-QNRC001);天津中医药大学研究生创新项目(No.YJSKC-20191007,No.YJSKC-20201039)。

摘　　要：目的:探索电针潜在治疗病症,为扩大电针临床应用范围提供依据。方法:将24只Wistar大鼠随机分为空白对照组、电针组、佐剂性关节炎组、佐剂性关节炎+电针组,电针14次治疗后提取血清,ExoQuick法提取血清外泌体,Label Free定量蛋白组学技术鉴定并筛选电针血清外泌体显著差异蛋白,将电针显著差异蛋白作为源数据,在人类疾病数据库查找与显著差异蛋白相关的疾病,通过Gephi软件构建正常电针显著差异蛋白-疾病网和模型电针显著差异蛋白-疾病网,找出正常电针显著差异蛋白和模型电针显著差异蛋白二者皆相关的疾病,并联合应用连入度、加权入度、PageRank等运行算法筛选与显著差异蛋白相关度高的疾病,剔除世界卫生组织、美国国立卫生研究院及国内《现代针灸病谱》已推荐的针灸治疗病症,最终确定电针可能的潜在治疗病症。结果:筛选出电针潜在治疗病症100种,其中32种肿瘤、15种免疫系统疾病、15种循环系统疾病、6种传染病、5种泌尿生殖系统疾病、4种代谢性疾病、4种骨骼肌肉系统和结缔组织疾病、3种消化系统疾病、2种皮肤疾病、2种神经系统疾病、1种五官疾病、1种呼吸系统疾病以及10种其他疾病。结论:电针潜在适应病症广泛,涉及多系统疾病,其中免疫系统疾病、肿瘤可能是电针重要的潜在治疗病症。Objective:To explore the potential therapeutic effect of acupuncture on diseases,and provide a basis for expanding the clinical application of acupuncture.Methods:Twenty-four Wistar rats were randomly divided into blank control group(NC),electroacupuncture group(EA),complete Freund’s adjuvant group(CFA)and CFA+electroacupuncture group(CFA+EA).After 14 times of acupuncture treatment,serum was extracted and ExoQuick method was used to extract serum exosomes Label Free quantitative proteomics technology was used to identify and screen the significant difference proteins of acupuncture serum exosomes.The significant difference proteins of acupuncture were used as the source data to find the diseases related to the significant difference proteins in the human disease database(MALACARD).The normal acupuncture significant difference protein disease network and model acupuncture significant difference protein disease network was constructed by Gephi software to find out the diseases related to the significant difference proteins of both normal acupuncture and model acupuncture,the running algorithms such as connectivity,weighted penetration,and PageRank were combined to screen the diseases with high correlation with significant difference proteins.Eliminating the acupuncture treatment disease that have be recommended by the World Health Organization,the National Institutes of Health of the United States,and the Disease Spectrum of Modern Acupuncture and Moxibustion in China,and finally determine the possible potential therapeutic diseases of acupuncture.Results:A total of 100 kinds of potential therapeutic diseases were screened out,including 32 kinds of tumor,15 kinds of immune system diseases,15 kinds of circulatory system diseases,6 kinds of infectious diseases,5 kinds of urogenital system diseases,4 kinds of metabolic diseases,4 kinds of skeletal muscle system and connective tissue diseases,3 kinds of digestive system diseases,2 kinds of skin diseases,2 kinds of nervous system diseases,1 kind of five sense organ di

关 键 词：外泌体 蛋白组 复杂网络分析 电针 病谱 

分 类 号：R245.97[医药卫生—针灸推拿学]