Author:
Zhong Chengliang,Guo Shengxuan,Liu Qingyuan,Sun Deyang,Wang Boyang,Hu Siyuan,Li Xinmin,Ding Ying,Yuan Bin,Liu Jing,Xiang Long,Li Nan,Xue Zheng,Li Yan,Teng Yiqun,Yi Rongsong,Li Shao,Ma Rong
Abstract
AbstractMycoplasma pneumoniae pneumonia (MPP) is a common type of pneumonia among school-aged children and adolescents. Jinzhen Oral Liquid (JZOL) and Azithromycin (AZ) are commonly used treatment options in traditional Chinese medicine (TCM) and Western medicine, respectively. There are several clinical and basic research reports on their solo effect against MPP, enabling their combined treatment to become possible. However, the mechanisms and specific pharmacodynamics of their combined therapy remain unclear. In this study, we conducted a mechanistic analysis of the combination of JZOL and AZ based on network target, elucidating their modular network regulatory mechanisms. The modular mechanisms involve four modules, including hormone response, cell differentiation and migration, signal transduction, oxygen and hypoxia response, centered by TNF signaling pathway-mediated regulation. Under the instruction of computational analysis, we conducted a randomized, double-blind, three-armed, parallel-controlled, multicenter clinical study of different doses of JZOL combined with AZ for the treatment of MPP in children. At the study endpoint, the median time to clinical recovery showed statistically significant differences, which were also observed between groups for time to complete fever remission, time to relief of cough/phlegm, effective rate of chest X-ray improvement, and rate of healing of TCM symptoms. During the treatment period, there were no statistically significant differences in the rates of adverse events, serious adverse events, or adverse reactions between the groups. Different doses of JZOL combined with AZ in the treatment of MPP in children have shown the effects of shortening the course of the disease, relieving the symptoms, and improving the prognosis. The research program composed of computational prediction and clinical trials can significantly accelerate the research and development process and identify more effective treatment with good safety, which is worthy of clinical promotion.
Publisher
Cold Spring Harbor Laboratory
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