Network pharmacology predicts targets and pathways of herbal components for the treatment of pneumonia: A review.

Dongxin Yang, Cuilian Chen, Qingshang Zhang, Jun Gong
Author Information
  1. Dongxin Yang: Central Laboratory of YunFu People's Hospital, Yunfu, China. ORCID
  2. Cuilian Chen: Department of Pharmacy, YunFu People's Hospital, Yunfu, China.
  3. Qingshang Zhang: Department of Pharmacy, YunFu People's Hospital, Yunfu, China.
  4. Jun Gong: Central Laboratory of YunFu People's Hospital, Yunfu, China.

Abstract

Pneumonia is a respiratory disease with high pathogenicity and mortality. Traditional Chinese medicine (TCM) is a natural therapy that has proven effectiveness and safety. Although TCM has been found to be effective in treating pneumonia, further research is needed to determine the specific mechanism of action. This paper presents a literature search conducted in PubMed, Web of Science, and China National Knowledge Infrastructure (CNKI) databases using the keywords "pneumonia" and "network pharmacology." After screening, we retained the literature related to TCM. The study found that, according to network pharmacology prediction, 4 types of TCMs-natural active compounds, single herb medicine, Chinese patent medicines, and multi-component herbal formulations-were effective in treating pneumonia. TCM components demonstrated a multi-target and multi-pathway approach to treat the disease. The diversity of targets and signaling pathways not only facilitates the investigation of TCM's mechanism of action of TCM in pneumonia treatment but also offers novel insights and perspectives for innovative drug research and development.

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Grants

  1. No. 20241398/Guangdong Province Bureau of Traditional Chinese Medicine Scientific Research Subject
  2. No. A20232001/Research Foundation of YunFu People’s Hospital

MeSH Term

Humans
Drugs, Chinese Herbal
Pneumonia
Medicine, Chinese Traditional
Network Pharmacology
Signal Transduction

Chemicals

Drugs, Chinese Herbal

Word Cloud

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