基于针刺NEI网络响应系统的针刺潜在治疗病症及方案的预测探析  

Prediction of Potential Diseases of Acupuncture Based on Acupuncture at Neuro-Endocrine-Immune Network Response System

作　　者：陈波[1] 齐婧蕾 李柠岑 李明月 郭义[1] CHEN Bo;QI Jinglei;LI Ningcen;LI Mingyue;GUO Yi(College of Acupuncture and Massage, Tianjin University of TCM ,Tianjin 300193, China;Department of Clinical Training, Tianjin University of TCM, Tianjin 300193, China)

机构地区：[1]天津中医药大学针灸学院,天津300193 [2]天津中医药大学临床实训教学部,天津300193

出　　处：《辽宁中医杂志》2018年第5期1035-1037,共3页Liaoning Journal of Traditional Chinese Medicine

基　　金：国家自然科学基金面上基金项目(8157150582);国家自然科学基金青年科学基金项目(8140150149);天津市教委科研计划项目(2017KJ143)

摘　　要：挖掘探索针刺疗法潜在优势治疗病症,以现有针刺机制研究海量数据为研究对象,构建针刺神经-内分泌-免疫（NEI）调节网络网络,挖掘分析NEI网络响应子功能失调导致的疾病,构建＂针刺—NEI网络及关键响应子—疾病＂数学模型,利用大数据分析方法与技术预测针刺潜在适应症。结合针刺作用输入参数,构建＂疾病发病机制—针刺NEI调控网络及关键响应子—针刺作用参数＂三者的数学模型,通过数据挖掘方法,预测针刺潜在适应症的最佳治疗方案。为针灸大数据及精准医疗提供研究思路,促进针灸基础研究向临床应用转化。In order to explore the potential advantages of acupuncture therapy for the diseases,this paper takes massive data from the existing acupuncture mechanism as the research object and builds acupuncture Neuro-Endocrine-Immune（NEI） regulatory network and analyze NEI network dysfunction of response points caused by the disease. The mathematical model of Acupuncture-NEI Network-Disease is constructed to predict potential indications for acupuncture with large data analysis methods and techniques. Based on the input parameters of acupuncture,the mathematical model of disease pathogenesis-acupuncture NEI control network and key responder-acupuncture parameters was constructed. The best way to predict the potential indications of acupuncture was determined by data mining method. It provides research ideas for large data and accurate acupuncture and moxibustion and promotes the basic research into the clinical application of acupuncture.

关 键 词：针刺 神经-内分泌-免疫调节 潜在病症 

分 类 号：R245[医药卫生—针灸推拿学]