Applying Statistical and Complex Network Methods to Explore the Key Signaling Molecules of Acupuncture Regulating Neuroendocrine-Immune Network.
Author: Zhang K1, Guo XM2, Yan YW1, Liu YY1,3, Xu ZF1,3, Zhao X1,3, Wang J2, Guo Y1,4, Li K5, Ding SS6
Affiliation:
1Research Center of Experimental Acupuncture Science, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
2School of Electrical Engineering and Automation, Tianjin University, Tianjin, China.
3Acu-Moxibustion and Tuina Department, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
4College of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
5Department of Gynaecology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
6Department of Acupuncture and Moxibustion, Tianjin Nankai Hospital, Tianjin, China.
Conference/Journal: Evid Based Complement Alternat Med.
Date published: 2018 Jan 29
Other:
Volume ID: 2018 , Pages: 9260630 , Special Notes: doi: 10.1155/2018/9260630. eCollection 2018. , Word Count: 124
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.
PMID: 29785197 PMCID: PMC5896411 DOI: 10.1155/2018/9260630
BACK
