Yu Zhen, Xu Jia-Chun, Qin Qi-Jing, Ni Dao-Yan, Zhang Yu-Lian
Tianjin University of TCM, Tianjin 300193, China.
Department of Acupuncture-Moxibustion and Encephalopathy, the Second Affiliated Hospital of Tianjin University of TCM, Tianjin 300250.
Zhongguo Zhen Jiu. 2019 May 12;39(5):551-5. doi: 10.13703/j.0255-2930.2019.05.025.
To explore the acupoint selection rules of acupuncture for Alzheimer's disease (AD) in modern clinical practice by complex network technology.
The relevant articles of clinical trials were retrieved from CNKI published before December 2017. Using Microsoft Excel 2010, the database was established. Using Gephi 0.8.2 software, the complex network mode was built and its topological structure was analyzed.
Finally, 81 articles were eligible and 114 acupoint prescriptions were extracted. The constructed complex network of acupoint prescriptions for AD was characteristics as small world effect and scale-free property, the crucial acupoints included Baihui (GV 20), Sishencong (EX-HN 1), Fengchi (GB 20), Yintang (GV 29), Shenmen (HT 7), Shenting (GV 24), Zusanli (ST 36), Fenglong (ST 40) and Taichong (LR 3). In acupoint combination, Baihui (GV 20), Neiguan (PC 6), Shenmen (HT 7) and Sanyinjiao (SP 6) were the most common, and the combination of the distal and nearby points was predominant. Using k-core for acupoint optimization, 29 core acupoints were screened and they were mostly located on the governor vessel and the head and neck, with the highest use frequency. 82.76% of acupoints were specific acupoints and the influential points were dominant. Using community structure partition, these acupoints were classified into two groups, i.e. deficiency syndrome and excess syndrome.
The selection of local acupoints is the first choice in acupuncture treatment for AD. The combination of distal and nearby points is the most common and the special points are the core. In clinical practice, the great consideration is provided on mind regulation, integration of disease and symptoms, the mutual treatment of the primary and the secondary as well as the deficiency and the excess.
运用复杂网络技术探索现代临床实践中针刺治疗阿尔茨海默病（AD）的选穴规律。
检索中国知网2017年12月以前发表的临床试验相关文章。使用Microsoft Excel 2010建立数据库。运用Gephi 0.8.2软件构建复杂网络模型并分析其拓扑结构。
最终纳入81篇文章，提取出114个穴位处方。构建的AD穴位处方复杂网络具有小世界效应和无标度特性，关键穴位包括百会（GV 20）、四神聪（EX-HN 1）、风池（GB 20）、印堂（GV 29）、神门（HT 7）、神庭（GV 24）、足三里（ST 36）、丰隆（ST 40）和太冲（LR 3）。在穴位配伍方面，百会（GV 20）、内关（PC 6）、神门（HT 7）和三阴交（SP 6）最为常见，且以远近配穴为主。运用k核进行穴位优化，筛选出29个核心穴位，这些穴位大多位于督脉及头颈部，使用频率最高。82.76%的穴位为特定穴，且以交会穴为主。运用社区结构划分，这些穴位分为虚证和实证两组。
针刺治疗AD以选取局部穴位为主，远近配穴最为常见，特定穴为核心。临床实践中注重调神、辨病与辨证相结合、标本同治以及虚实兼顾。
