Mechanisms of Qingkailing soft capsules against coronavirus pneumonia based on network pharmacology and experimental verification

doi:10.19803/j.1672-8629.20220367

Abstract

Abstract: Objective To study the targets and signal pathways of Qingkailing soft capsules in the treatment of coronavirus pneumonia based on network pharmacology. Methods The main chemical ingredients of Qingkailing soft capsules were obtained by searching the TCMSP database for related literature that was published between inception and June 28, 2022. The potential targets of Qingkailing soft capsules in the treatment of coronavirus pneumonia were obtained from Swiss Target Prediction and GeneCards database. A PPI interaction network and “drug-component-target” network were constructed before the potential targets were analyzed via KEGG pathway enrichment. The effect of Qingkailing soft capsules on lung indexes was detected, and the contents of IL-6, SOD in lung tissues and those of PGE2 and CAMP in the hypothalamus were detected by Elisa. Results The “drug-component-target” network consisted of 296 edges, 7 drug nodes, 33 compound nodes and 112 target nodes. Compared with the model group, the lung indexes of the Qingkailing soft capsule group decreased significantly（P＜0.01）, so did the contents of IL-6 in lung tissues and PGE2 in the hypothalamus（P＜0.01）. Conclusion Qingkailing soft capsules may play a role in the treatment of coronavirus pneumonia by regulating inflammatory mediators and febrile mediators.

Key words: Qingkailing, soft capsules, network pharmacology, HCoV-229E, lung-attacking damp-heat epidemic toxin

CLC Number:

CHEN Mengping, WANG Yaxin, YAO Rongmei, BAO Lei, ZHAO Ronghua, SUN Jing, GENG Zihan, BAO Yanyan, DAI Min, GUO Shanshan, CUI Xiaolan. Mechanisms of Qingkailing soft capsules against coronavirus pneumonia based on network pharmacology and experimental verification[J]. Chinese Journal of Pharmacovigilance, 2023, 20(3): 253-257.

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