Dataset Information

A Network Pharmacology Approach to Explore the Mechanisms of Shugan Jianpi Formula in Liver Fibrosis.

ABSTRACT: Purpose:We explored the mechanism of Shugan Jianpi Formula (SGJPF) and its effective components for the treatment of liver fibrosis (LF). Materials and Methods:We collected the active ingredients in SGJPF through the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and screened the effective components by absorption, distribution, metabolism, and excretion. Herb-associated target proteins were predicted and screened based on the Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine and Search Tool for Interactions of Chemicals databases. LF-associated target proteins were predicted and screened based on the Online Mendelian Inheritance in Man® Database and Comparative Toxicogenomics Database. Common genes with LF and herbs were selected, and Cytoscape 3.5.1 software was used to construct an herb pathway and component-LF common target network. The Search Tool for the Retrieval of Interacting Genes/Proteins was used to build a protein-protein interaction, and quantitative PCR was used to verify the related target genes. Finally, clusterProfiler was applied for the analysis of Gene Ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways. Results:The pharmacological network contained 252 active compounds (e.g., Astragaloside A, saikosaponin, linoleic acid, and Poria acid A), 84 common target genes, and 94 significant signaling pathways. Among them, interleukin 6 (IL-6), tumor protein 53 p53 (TP53), prostaglandin-endoperoxide synthase 2 (PTGS2), AKT1, IL-1?, and the nucleotide-binding and oligomerization domain-like receptor and Janus kinase-signal transducer and activator of transcription signaling pathways were selected as the critical target gene and critical signal pathway, respectively. Conclusion:The mechanisms of SGJPF in protecting against LF include the regulation of multiple targets such as IL-6, TP53, PTGS2, and AKT1. These target proteins affect LF through various signal transduction pathways.

SUBMITTER: Fan C

PROVIDER: S-EPMC7306883 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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A Network Pharmacology Approach to Explore the Mechanisms of Shugan Jianpi Formula in Liver Fibrosis.

Fan Chang C Wu Fu Rong FR Zhang Jia Fu JF Jiang Hui H

Evidence-based complementary and alternative medicine : eCAM 20200612

<h4>Purpose</h4>We explored the mechanism of Shugan Jianpi Formula (SGJPF) and its effective components for the treatment of liver fibrosis (LF).<h4>Materials and methods</h4>We collected the active ingredients in SGJPF through the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and screened the effective components by absorption, distribution, metabolism, and excretion. Herb-associated target proteins were predicted and screened based on the Bioinformatics Analy ...[more]

PMID: 32617108

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Project description:Renal fibrosis, characterized by the destruction of renal tubules and interstitial capillaries and the accumulation of extracellular matrix proteins, is a common outcome of chronic renal diseases and has a wide spectrum of etiologies. Fibrosis can affect any organ and has similar pathological mechanisms. Fuzheng Huayu formula (FZHY), as the approved anti-liver fibrosis medicine in China, also can inhibit the kidney fibrosis induced by HgCl2 or unilateral ureteral obstruction. However, little is known about the mechanisms underlying the beneficial effects of FZHY on renal fibrosis. This study aimed to identify the mechanisms of FZHY acts on renal fibrosis through network pharmacological analysis and in vivo experiments. Data from online databases were mined and screened to predict the target related genes of FZHY acts on renal fibrosis. The STRING and Cytoscape were used to construct the protein-protein interaction (PPI) networks for FZHY and CKD target proteins. Mouse models with CKD induced by Aristolochic Acid I (AAI) were used to validate the effects of FZHY on renal fibrosis and their underlying mechanisms by detecting kidney function, renal fibrosis, and related intersection genes. A total of 129 FZHY-CKD crossover proteins were filtered and constructed into a protein-protein interaction network complex and designated as the potential targets of FZHY. One of the highest-scoring genes, FOS, and its related signaling pathways were more activated in CKD. The results demonstrated that FZHY can exert an anti-renal fibrosis effect by improving the levels of serum creatinine and blood urea nitrogen and alleviating excessive collagen deposition in kidney tissue, FZHY also could reduce the levels of TNF-α, IL-1β, and IL-6 and inhibit the expression of MAPK/FOS signal molecules. Our study findings provide insights into predicting the effects of FZHY on CKD through network pharmacology. FZHY can protect the kidney from inflammatory injury caused by AAI and can antagonize inflammatory factor-stimulated MAPK/FOS activation in fibrotic kidneys. These effects constitute the mechanisms of FZHY for renal fibrosis.

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Project description:Objectives: Network pharmacological methods were used to investigate the underlying molecular mechanisms of LianXia NingXin (LXNX) formula, a Chinese prescription, to treat coronary heart disease (CHD) and disease phenotypes (CHD related diseases and symptoms). Methods: The different seed gene lists associated with the herbs of LXNX formula, the CHD co-morbid diseases and symptoms which were relieved by the LXNX formula (co-morbid diseases and symptoms) were curated manually from biomedical databases and published biomedical literatures. Module enrichment analysis was used to identify CHD-related disease modules in the protein-protein interaction (PPI) network which were also associated to the targets of LXNX formula (LXNX formula's CHD modules). The molecular characteristics of LXNX formula's CHD modules were investigated via functional enrichment analysis in terms of gene ontology and pathways. We performed shortest path analysis to explore the interactions between the drug targets of LXNX formula and CHD related disease phenotypes (e.g., co-morbid diseases and symptoms). Results: We identified two significant CHD related disease modules (i.e., M146 and M203), which were targeted by the herbs of LXNX formula. Pathway and GO term functional analysis results indicated that G-protein coupled receptor signaling pathways (GPCR) of M146 and cellular protein metabolic process of M203 are important functional pathways for the respective module. This is further confirmed by the shortest path analysis between the drug targets of LXNX formula and the aforementioned disease modules. In addition, corticotropin releasing hormone (CRH) and natriuretic peptide precursor A (NPPA) are the only two LXNX formula target proteins with the low shortest path length (on average shorter than 3) to their respective CHD module and co-morbid disease and symptom gene groups. Conclusion: G-protein coupled receptor signaling pathway and cellular protein metabolic process are the key LXNX formula's pathways to treat CHD disease phenotypes, in which CRH and NPPA are the two key drug targets of LXNX formula. Further evidences from Chinese herb pharmacological databases indicate that Pinellia ternata (Banxia) has relatively strong adjustive functions on the two key targets.

Dataset Information

A Network Pharmacology Approach to Explore the Mechanisms of Shugan Jianpi Formula in Liver Fibrosis.

Publications

A Network Pharmacology Approach to Explore the Mechanisms of Shugan Jianpi Formula in Liver Fibrosis.

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