» Articles » PMID: 36118001

Assessment of Pulmonary Infectious Disease Treatment with Mongolian Medicine Formulae Based on Data Mining, Network Pharmacology and Molecular Docking

Overview
Journal Chin Herb Med
Publisher Elsevier
Date 2022 Sep 19
PMID 36118001
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: Pulmonary infectious diseases (PID) include viral pneumonia (VP) and pulmonary tuberculosis (PT). Mongolian medicine (MM) is an effective treatment option in China, however, the core group medicines (CGMs) in the treatment of PID and their underlying therapeutic mechanisms remain unclear. In this study, through the method of data mining, the CGMs of MM for the treatment of PID were excavated, and the possible mechanism of action of the CGMs in the treatment of PID was explored by using network pharmacology.

Methods: First, 89 MM formulae for the treatment of pulmonary infectious diseases collected from , , (Mongolian Medicine Volume), (2007 Edition), and (2014 Edition). The CGMs of MM for PID were excavated through association rule analysis and cluster analysis. Then, the active ingredients and potential targets of the CGMs were obtained from TCMSP, TCMIP, BATMAN-TCM databases. PID targets information was collected from OMIM, GeneCards, and DrugBank databases. The possible targets of CGMs treatment for PID were obtained by intersection. The PPI network was constructed through the STRING database, and the topology analysis of the network was performed. Through the enrichment analysis of the intersection targets by R language, the main action pathways and related target proteins of CGMs in the treatment of PID were screened out. The results were verified by molecular docking.

Results: A total of 89 formulae were included, involving 164 MM herbs. The efficacy of the drugs was mainly cough-suppressing and panting-calming herbs, and heat-clearing herbs. The nature and flavor were mainly bitter and cold. The CGMs of MM to treatment of PID was excavated as the classic famous formula Sanzi Decoction (). A total of 28 candidate components and 237 predicted targets of CGMs were collected, and 61 common targets with PID were obtained, including key compounds such as quercetin, kaempferol, -sitosterol and stigmastero and key targets such as VEGFA, IL6, TP53, AKT1. KEGG enrichment analysis yielded AGE-RAGE signaling pathways, IL-17 signaling pathways, and TNF signaling pathways. Molecular docking results showed that the key targets were well matched with the potential active ingredients of CGMs.

Conclusion: This study found that MM commonly used cough-suppressing and panting-calming herbs in combination with heat-clearing herbs to treat PID, and the CGMs for the treatment of PID is "". CGMs mainly play a role in the treatment of PID by acting on VEGFA, IL6, TP53, AKT1 and other targets, regulating AGE-RAGE signaling pathways, IL-17 signaling pathways, and TNF signaling pathways.

Citing Articles

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

Yang D, Chen C, Zhang Q, Gong J Medicine (Baltimore). 2025; 104(5):e41372.

PMID: 39889188 PMC: 11789858. DOI: 10.1097/MD.0000000000041372.


Bioinformatics based exploration of the anti-NAFLD mechanism of Wang's empirical formula via TLR4/NF-κB/COX2 pathway.

Chen S, Zhou C, Huang J, Qiao Y, Wang N, Huang Y Mol Med. 2024; 30(1):278.

PMID: 39730994 PMC: 11673956. DOI: 10.1186/s10020-024-01022-3.


Mechanisms of Shufeng Jiedu Capsule in treating bacterial pneumonia based on network pharmacology and experimental verification.

Xu Y, Bao L, Zhao R, Geng Z, Li S, Pang B Chin Herb Med. 2024; 16(4):656-666.

PMID: 39606267 PMC: 11589334. DOI: 10.1016/j.chmed.2024.01.002.


AI-Assisted Rational Design and Activity Prediction of Biological Elements for Optimizing Transcription-Factor-Based Biosensors.

Ding N, Yuan Z, Ma Z, Wu Y, Yin L Molecules. 2024; 29(15).

PMID: 39124917 PMC: 11313831. DOI: 10.3390/molecules29153512.


NUP85 alleviates lipid metabolism and inflammation by regulating PI3K/AKT signaling pathway in nonalcoholic fatty liver disease.

Wu Y, Yan Q, Yue S, Pan L, Yang D, Tao L Int J Biol Sci. 2024; 20(6):2219-2235.

PMID: 38617542 PMC: 11008257. DOI: 10.7150/ijbs.92337.


References
1.
Zhang C, Zhao Z, Hasi B, Li Z, Wu M, Zou D . Mongolian folk medicine--from traditional practice to scientific development. Zhongguo Zhong Yao Za Zhi. 2015; 40(13):2492-5. View

2.
Zhi H, Jin X, Zhu H, Li H, Zhang Y, Lu Y . Exploring the effective materials of flavonoids-enriched extract from Scutellaria baicalensis roots based on the metabolic activation in influenza A virus induced acute lung injury. J Pharm Biomed Anal. 2019; 177:112876. DOI: 10.1016/j.jpba.2019.112876. View

3.
Li X, Xu S, Yu M, Wang K, Tao Y, Zhou Y . Risk factors for severity and mortality in adult COVID-19 inpatients in Wuhan. J Allergy Clin Immunol. 2020; 146(1):110-118. PMC: 7152876. DOI: 10.1016/j.jaci.2020.04.006. View

4.
Tanaka T, Narazaki M, Kishimoto T . IL-6 in inflammation, immunity, and disease. Cold Spring Harb Perspect Biol. 2014; 6(10):a016295. PMC: 4176007. DOI: 10.1101/cshperspect.a016295. View

5.
Wu D, Hou X, Xia Z, Hao E, Xie J, Liang J . Analysis on oral medication rules of traditional Chinese medicine prescriptions for prevention of COVID-19. Chin Herb Med. 2021; 13(4):502-517. PMC: 8505017. DOI: 10.1016/j.chmed.2021.10.007. View