[Translation] A randomized, double-blind, multicenter clinical trial using placebo as a control to evaluate the efficacy and safety of Jinyinhua Yanyan Granules in the treatment of acute pharyngitis (wind-heat syndrome).

评价金银花咽炎颗粒治疗急性咽炎（风热证）有效性和安全性。

[Translation]

To evaluate the efficacy and safety of Honeysuckle Pharyngitis Granules in the treatment of acute pharyngitis (wind-heat syndrome).

Start Date01 Apr 2010

Sponsor / Collaborator

Changchun College of Traditional Chinese Medicine

100 Clinical Results associated with Jinyinhua Yanyan Granules

100 Translational Medicine associated with Jinyinhua Yanyan Granules

100 Patents (Medical) associated with Jinyinhua Yanyan Granules

Literatures (Medical) associated with Jinyinhua Yanyan Granules

01 Jan 2022·The American Journal of Chinese Medicine

Traditional Chinese Medicine for COVID-19: A Network Meta-Analysis and Systematic Review

Review

Author: Liu, Chunxiang ; Zheng, Wenke ; Zhang, Li ; Zhang, Junhua ; Liu, Shigang ; Pang, Bo ; Chen, Zhe ; Qiang, Xiaoyu ; Hu, Haiyin ; Cao, Lujia ; Ji, Zhaochen ; Wang, Hui ; Lin, Shanshan

To compare the efficacy of different traditional Chinese medicine (TCM) therapies for the treatment of coronavirus disease 2019 (COVID-19) and provide a higher level of evidence in the form of network meta-analysis (NMA) and systematic review. We searched the studies from the following databases: CNKI, VIP, WanFang, SinoMed, PubMed, Embase, and Web of Science from the establishment of the respective database until December 2021. Relevant studies were screened according to the pre-established inclusion criteria. The quality of the included randomized controlled trials (RCTs) and controlled clinical trials (CCTs) were assessed using the risk of bias (ROB) tool and the Methodological Index for Non-Randomized Studies (MINORS), respectively. R software 4.1.1 and Stata 13.1 were used for data analysis and mapping. A total of 34 studies were included in this network meta-analysis that tested 24 TCM interventions and included 3443 patients. Using cluster analysis of time to negative SARS-CoV-2 reverse transcription-polymerase chain reaction (RT-PCR), the length of hospital stay and composite events, we found that Jinyinhua oral liquid (JYH, 120 mL) + conventional Western medicine (CWM) has the highest SUCRA value at 88.64%, 85.61% and 84.24%. The traditional meta-analysis results revealed that Qingfei Paidu decoction + CWM were significantly different compared with CWM alone for the score of clinical symptoms (MD =-0.75, 95% CI [–1.04, –0.47]). Nine studies reported 57 adverse reactions (ADRs) and 3 adverse events (ADEs) in TCM + CWM groups, and eight studies reported 33 ADRs and 8 ADEs in CWM groups. In conclusion, the combination of TCM and CWM approaches may enhance the efficacy of CWM in COVID-19 patients. Based on the NMA result, JYH (120 mL) + CWM may be a more effective treatment and deserves further investigation. However, the differences in many comparisons between TCM interventions did not reach statistical significance; therefore, further high-quality studies are required to validate these findings.

Cellular and Molecular Biology

Quercetin relieves coronary atherosclerosis via regulating fibroblast growth factor 2

Article

Author: Shi, Rui ; Yin, Jinzhu ; Deng, Yue ; Liu, Zhaozheng

This study aims to investigate the role of quercetin in coronary atherosclerosis and explore its possible mechanisms. Hematoxylin-eosin (H&E), immunohistochemical (IHC), and aniline blue staining were used to analyze the pathological changes in the cross-section of the aorta. Traditional Chinese Medicine Systems Pharmacology Database (TCMSP), Swiss Target Prediction, and PubChem were utilized to predict and screen the bioactive ingredients of traditional Chinese medicine (Huanglian, Yuxingcao, and Jinyinhua) for coronary atherosclerosis. Inflammatory factors and vascular protection parameters were quantitatively detected using ELISA and western blot. The proliferation and migration of vascular smooth muscle cells (VSMC) were evaluated using the Cell Counting Kit-8 (CCK-8), 5-ethynyl-2-deoxyuridine (EdU), and wound healing assays. The targets of quercetin were predicted using DisGeNET, Matascape, SWISSMODEL, cellular thermal shift assay (CETSA), and fluorescence titrimetric methods. Based on our findings, quercetin was identified as the active component of Huanglian, Yuxingcao, and Jinyinhua that exerted a positive effect on coronary atherosclerosis. In vivo and in vitro data demonstrated that quercetin improved the pathological changes in model mice and inhibited the proliferation, migration, and inflammatory response of VSMC cells. Specifically, we found that fibroblast growth factor 2 (FGF2) is a direct target of quercetin, and overexpression of FGF2 attenuated the anti-atherosclerosis function of quercetin. Overall, our study confirms the functional role of the quercetin-FGF2 axis in the progression of coronary atherosclerosis, providing a potential target for its treatment.

Frontiers in Pain Research

An Apriori Algorithm-Based Association Analysis of Analgesic Drugs in Chinese Medicine Prescriptions Recorded From Patients With Rheumatoid Arthritis Pain

Article

Author: Wang, Song ; Wen, Cheng-Ping ; Wen, Jun-Jun ; Jin, Yan ; Li, Dian-Ming ; Jiang, Yue-Peng ; Yu, Jie ; Chen, Si-Jia ; Huang, Lin ; Zheng, Ming-Zhi ; Lai, Wei-Dong

Chronic pain, a common symptom of people with rheumatoid arthritis, usually behaves as persistent polyarthralgia pain and causes serious damage to patients' physical and mental health. Opioid analgesics can lead to a series of side effects like drug tolerance and addiction. Thus, seeking an alternative therapy and screening out the corresponding analgesic drugs is the key to solving the current dilemma. Traditional Chinese Medicine (TCM) therapy has been recognized internationally for its unique guiding theory and definite curative effect. In this study, we used the Apriori Algorithm to screen out potential analgesics from 311 cases that were treated with compounded medication prescription and collected from “Second Affiliated Hospital of Zhejiang Chinese Medical University” in Hangzhou, China. Data on 18 kinds of clinical symptoms and 16 kinds of Chinese herbs were extracted based on this data mining. We also found 17 association rules and screened out four potential analgesic drugs—“Jinyinhua,” “Wugong,” “Yiyiren,” and “Qingfengteng,” which were promised to help in the clinical treatment. Besides, combined with System Cluster Analysis, we provided several different herbal combinations for clinical references.

100 Deals associated with Jinyinhua Yanyan Granules

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