Applying Statistical and Complex Network Methods to Explore the Key Signaling Molecules of Acupuncture Regulating Neuroendocrine-Immune Network. (29th January 2018)

• Record Type: Journal Article
• Authors: Zhang, Kuo; Guo, Xin-meng; Yan, Ya-wen; Liu, Yang-yang; Xu, Zhi-fang; Zhao, Xue; Wang, Jiang; Guo, Yi; Li, Kai; Ding, Sha-sha
• Other Names: Silberstein Morry Academic Editor.
• Is Part Of: Evidence-based complementary and alternative medicine. Volume 2018(2018)
• Publication Date: 2018-01-29
• Subjects: Alternative medicine -- Periodicals; 615.505
• DOI: 10.1155/2018/9260630
• Languages: English
• ISSNs: 1741-427X

Abstract

Abstract : The mechanisms of acupuncture are still unclear. In order to reveal the regulatory effect of manual acupuncture (MA) on the neuroendocrine-immune (NEI) network and identify the key signaling molecules during MA modulating NEI network, we used a rat complete Freund's adjuvant (CFA) model to observe the analgesic and anti-inflammatory effect of MA, and, what is more, we used statistical and complex network methods to analyze the data about the expression of 55 common signaling molecules of NEI network in ST36 (Zusanli) acupoint, and serum and hind foot pad tissue. The results indicate that MA had significant analgesic, anti-inflammatory effects on CFA rats; the key signaling molecules may play a key role during MA regulating NEI network, but further research is needed.