| Literature DB >> 35844225 |
Liying Sun1, Xuhui Ye1, Linlin Wang1, Junping Yu1, Yan Wu1, Minpeng Wang1, Lihua Dai1.
Abstract
Cerebral small vessel disease (CSVD) is often referred to as "collaterals disease" in traditional Chinese medicine (TCM), and commonly includes ischemic and hemorrhagic CSVD. TCM has a long history of treating CSVD and has demonstrated unique efficacy. Buyang Huanwu Decoction (BHD) is a classical TCM formula that has been used for the prevention and treatment of stroke for hundreds of years. BHD exerts its therapeutic effects on CSVD through a variety of mechanisms. In this review, the clinical and animal studies on BHD and CSVD were systematically introduced. In addition, the pharmacological mechanisms, active components, and clinical applications of BHD in the treatment of CSVD were reviewed. We believe that an in-depth understanding of BHD, its pharmacological mechanism, disease-drug interaction, and other aspects will help in laying the foundation for its development as a new therapeutic strategy for the treatment of CSVD.Entities:
Keywords: Buyang Huanwu Decoction; active component; cerebral small vessel disease; collaterals disease; pharmacodynamics
Year: 2022 PMID: 35844225 PMCID: PMC9278698 DOI: 10.3389/fnins.2022.942188
Source DB: PubMed Journal: Front Neurosci ISSN: 1662-453X Impact factor: 5.152
FIGURE 1The 2D structures of major pharmacological active ingredients in BHD (BHD, Buyang Huanwu Decoction).
FIGURE 2Venn diagrams was used to screen three groups of overlapping target genes, 35 collective targets of CSVD, VaD, and BHD were obtained (BHD, Buyang Huanwu Decoction; CSVD, Cerebral Small Vessel Disease; VaD, vascular dementia).
FIGURE 3In total, 35 target genes were used to establish the regulatory network in Cytoscape.
FIGURE 4(A) Gene ontology enrichment analysis of overlapping target genes. Cross-examination of the relationship between these genes and GO biological process terms suggested that a substantial number of genes related to immune response were also enriched for other biological process such as defense response, response to cytokine stimulus and the inflammatory response. (B) Protein-protein interaction network and MCODE components identified in the gene list.
Top 10 clusters with their representative enriched terms (one per cluster).
| GO | Category | Description | Count | % | Log10( |
| GO:0009611 | GO biological processes | Response to wounding | 14 | 56 | −17.42 |
| GO:0032496 | GO biological processes | Response to lipopolysaccharide | 9 | 36 | −11.05 |
| GO:0070997 | GO biological processes | Neuron death | 9 | 36 | −10.84 |
| GO:0043549 | GO biological processes | Regulation of kinase activity | 9 | 36 | −7.98 |
| GO:1903530 | GO biological processes | Regulation of secretion by cell | 8 | 32 | −7.7 |
| GO:0010035 | GO biological processes | Response to inorganic substance | 8 | 32 | −7.65 |
| GO:0097190 | GO biological processes | Apoptotic signaling pathway | 8 | 32 | −7.6 |
| GO:0030162 | GO biological processes | Regulation of proteolysis | 8 | 32 | −6.74 |
| GO:0007610 | GO biological processes | Behavior | 7 | 28 | −6.27 |
| GO:0007568 | GO biological processes | Aging | 6 | 24 | −6.37 |
“Count” is the number of genes in the user-provided lists with membership in the given ontology term. “%” is the percentage of all of the user-provided genes that are found in the given ontology term. “Log10(P)” is the p-value in log base 10.