Affiliation:
1. Shuguang Hospital clinical research center Shanghai China
2. Shanghai University of Traditional Chinese Medicine TCM Shanghai China
3. Shuguang Hospital emergency department Shanghai China
Abstract
Aim and Objective::
Traditional Chinese Medicine prescribes Yantiao Formula
(YTF; peach kernel, mirabilite, Angelica sinensis, Radix Scrophulariae, raw rhubarb, Radix
Paeoniae, Flos Lonicerae, Forsythia, and Ophiopogon japonicus) to treat sepsis. Clinically, it
reduced the inflammatory response of sepsis. It also reduced lung damage by decreasing the
level of TNF-α in septic rats' serum. Using network pharmacology analysis, we investigated the
efficacy network and mechanism of YTF in treating sepsis.
background:
Traditional Chinese Medicine prescribes Yantiao Fang (YTF; peach kernel, mirabilite, Angelica sinensis, Radix Scrophulariae, raw rhubarb, Radix Paeoniae, Flos Lonicerae, Forsythia, and Ophiopogon japonicus) to treat sepsis. Clinically, reduced the inflammatory response of sepsis. It also reduced lung damage by decreasing the level of TNF-α in septic rats' serum.
Materials and Methods::
We used the Traditional Chinese Medicine Systems Pharmacology
Database and Analysis Platform (TCMSP) and a Bioinformatics Analysis Tool for Molecular
Mechanisms of Traditional Chinese Medicine (BATMAN-TCM) combined with literature to
collect the main components in YTF and their targets. DisGeNET and GENECARDS databases
were used for sepsis-related targets. Cytoscape 3.7.1 software was used to construct the herbcomponent-
target and ingredient-target-disease interaction protein-protein interaction networks
of YTF. The jvenn was used to perform the intersection of YTF targets and sepsis targets. Gene
Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed.
We also created a sepsis rat model using cecal ligation and perforation and stimulated
alveolar macrophages (NR8383) with endotoxin to investigate the mechanisms of YTF.
objective:
Using network pharmacology analysis, we investigated the efficacy network and mechanism of YTF in treating sepsis.
Results::
GO, and KEGG enrichment analysis revealed that these targets involved mineralocorticoid
secretion, aldosterone secretion, active regulation of chronic inflammatory response, the
exogenous coagulation pathway, and other pathophysiology. It was linked to various inflammatory
factors and the MAPK pathway. YTF inhibits the p38MAPK pathway and decreases TNF-
α, IL-6, and CXCL8 levels.
method:
We used the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and a Bioinformatics Analysis Tool for Molecular Mechanisms of Traditional Chinese Medicine (BATMAN-TCM) combined with literature to collect the main components in YTF and their targets In addition to the literature, we searched DisGeNET, therapeutic target, GENECARDS, and other databases for sepsis-related targets. Cytoscape 3.7.1 software was used to construct the herb-component-target and ingredient-target-disease interaction protein-protein interaction networks of YTF. The jvenn database was used to perform the intersection of 2,112 predicted YTF targets and 1,814 disease targets of sepsis. A bioinformatics database was used for Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis.We also created a sepsis rat model using cecal ligation and perforation, stimulated alveolar macrophages (NR8383) with endotoxin, measured inflammatory factor levels in serum, alveolar lavage fluid, and cell supernatant, and investigated the mechanism of the p38MAPK signaling pathway.
Conclusion::
YTF has a multi-component, multi-target, and multi-channel role in treating sepsis.
The primary mechanisms may involve inhibiting the p38MAPK pathway to reduce the inflammatory
response.
conclusion:
YTF has a multi-component, multi-target, and multi-channel role in treating sepsis. The primary mechanisms may involve inhibiting the p38MAPK pathway to reduce the inflammatory response.
Publisher
Bentham Science Publishers Ltd.
Subject
Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine