New Approach for Targeted Treatment of Mild COVID-19 by Honeysuckle through Network Pharmacology Analysis.
Comput Math Methods Med
; 2022: 9604456, 2022.
Article
in English
| MEDLINE | ID: covidwho-1704361
ABSTRACT
OBJECTIVE:
To investigate the potential pharmacological value of extracts from honeysuckle on patients with mild coronavirus disease 2019 (COVID-19) infection.METHODS:
The active components and targets of honeysuckle were screened by Traditional Chinese Medicine Database and Analysis Platform (TCMSP). SwissADME and pkCSM databases predict pharmacokinetics of ingredients. The Gene Expression Omnibus (GEO) database collected transcriptome data for mild COVID-19. Data quality control, differentially expressed gene (DEG) identification, enrichment analysis, and correlation analysis were implemented by R toolkit. CIBERSORT evaluated the infiltration of 22 immune cells.RESULTS:
The seven active ingredients of honeysuckle had good oral absorption and medicinal properties. Both the active ingredient targets of honeysuckle and differentially expressed genes of mild COVID-19 were significantly enriched in immune signaling pathways. There were five overlapping immunosignature genes, among which RELA and MAP3K7 expressions were statistically significant (P < 0.05). Finally, immune cell infiltration and correlation analysis showed that RELA, MAP3K7, and natural killer (NK) cell are with highly positive correlation and highly negatively correlated with hematopoietic stem cells.CONCLUSION:
Our analysis suggested that honeysuckle extract had a safe and effective protective effect against mild COVID-19 by regulating a complex molecular network. The main mechanism was related to the proportion of infiltration between NK cells and hematopoietic stem cells.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Drugs, Chinese Herbal
/
Lonicera
/
SARS-CoV-2
/
Network Pharmacology
/
COVID-19 Drug Treatment
/
Phytotherapy
Type of study:
Diagnostic study
/
Experimental Studies
/
Prognostic study
/
Systematic review/Meta Analysis
Topics:
Traditional medicine
Limits:
Humans
Language:
English
Journal:
Comput Math Methods Med
Journal subject:
Medical Informatics
Year:
2022
Document Type:
Article
Affiliation country:
2022
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