Mechanism of Anchang Decoction in Treatment of Anti-Inflammatory Effect Based on Network Pharmacology, Molecular Docking and Experimental Verification

Context A prescription medication called Anchang Decoction (ACD) has anti-inflammatory properties. Objective To evaluate the mechanism of ACD against inflammation. Materials and methods The “pharmacodynamic constituents - potential targets” and “protein interaction networks” were mapped using Cytoscape software and the STRING database, respectively. The degree of binding between important pharmacodynamic components of ACD and possible targets was then examined using molecular docking analysis using Autodock Vina and PyMOL software, and GO and KEGG pathway enrichment analysis using the David database and the Weishengxin online tool. These findings were eventually confirmed in vitro. Results After the intersection of the two, 539 inflammatory targets and 217 related targets, 34 main active components, and 42 potential anti-inflammatory targets were obtained. These include AKT1, MAPK14, SRC, EGFR, GSK3B, MMP9, MMP2, PTGS2, SYK, ESR1, and MMP2 and GO enrichment results. These three key targets are chosen as downstream validation targets for experimental verification. Furthermore, the colonic tissue and mucosa of ACD group were undamaged in comparison to the model group, and there was no sign of inflammatory cell infiltration. According to CCK-8 data, treatment with 20% ACD drug-containing serum resulted in a significant increase in RAW264.7 cell viability (P < 0.05) when compared to the normal serum group; Serum of ACD-containing medication may considerably lower the NO content of macrophage inflammation and prevent the production of inflammatory markers like TNF-α and IL-6 (P < 0.05); The expression levels of AKT1, MAPK14, and SRC proteins were considerably reduced by ACD in RAW264.7 macrophage inflammation, according to Western Blot data (P < 0.05). Discussion and conclusions ACD exerts anti-inflammatory effects through multi-component interaction with the target, and the mechanism may involve the inhibition of the release of inflammatory cytokines by AKT, MAPK and non-receptor tyrosine kinase signaling pathways. Here, the molecular mechanism of ACD against inflammation was partially clarified and experimentally validated, offering theoretical evidence for more effective clinical application.

Authors

Institutions

Publication Details

Journal
Natural Product Communications
Published
2024-09-01
DOI
https://doi.org/10.1177/1934578x241281571
Primary Topic
Pharmacological Effects of Natural Compounds
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mechanism of Anchang Decoction in Treatment of Anti-Inflammatory Effect Based on Network Pharmacology, Molecular Docking and Experimental Verification

Wei Tian, Lijie Zhou, Xihong Yang, Shi Huang et al.
Natural Product Communications
Pharmacological Effects of Natural Compounds
article

Mechanism of Anchang Decoction in Treatment of Anti-Inflammatory Effect Based on Network Pharmacology, Molecular Docking and Experimental Verification

Wei Tian, Lijie Zhou, Xihong Yang, Shi Huang, Weiqian Zhou, Qiuyun Qin, Weilong Fang
article en

Abstract

Context A prescription medication called Anchang Decoction (ACD) has anti-inflammatory properties. Objective To evaluate the mechanism of ACD against inflammation. Materials and methods The “pharmacodynamic constituents - potential targets” and “protein interaction networks” were mapped using Cytoscape software and the STRING database, respectively. The degree of binding between important pharmacodynamic components of ACD and possible targets was then examined using molecular docking analysis using Autodock Vina and PyMOL software, and GO and KEGG pathway enrichment analysis using the David database and the Weishengxin online tool. These findings were eventually confirmed in vitro. Results After the intersection of the two, 539 inflammatory targets and 217 related targets, 34 main active components, and 42 potential anti-inflammatory targets were obtained. These include AKT1, MAPK14, SRC, EGFR, GSK3B, MMP9, MMP2, PTGS2, SYK, ESR1, and MMP2 and GO enrichment results. These three key targets are chosen as downstream validation targets for experimental verification. Furthermore, the colonic tissue and mucosa of ACD group were undamaged in comparison to the model group, and there was no sign of inflammatory cell infiltration. According to CCK-8 data, treatment with 20% ACD drug-containing serum resulted in a significant increase in RAW264.7 cell viability (P < 0.05) when compared to the normal serum group; Serum of ACD-containing medication may considerably lower the NO content of macrophage inflammation and prevent the production of inflammatory markers like TNF-α and IL-6 (P < 0.05); The expression levels of AKT1, MAPK14, and SRC proteins were considerably reduced by ACD in RAW264.7 macrophage inflammation, according to Western Blot data (P < 0.05). Discussion and conclusions ACD exerts anti-inflammatory effects through multi-component interaction with the target, and the mechanism may involve the inhibition of the release of inflammatory cytokines by AKT, MAPK and non-receptor tyrosine kinase signaling pathways. Here, the molecular mechanism of ACD against inflammation was partially clarified and experimentally validated, offering theoretical evidence for more effective clinical application.

Natural Product CommunicationsVol. 19(9)
Guangxi Medical University (CN), Guangxi University of Chinese Medicine (CN), Chengdu University of Traditional Chinese Medicine (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 81%
Pharmacological Effects of Natural Compounds
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.