Among cardiovascular diseases, myocardial fibrosis (MF) is a major pathological change underlying heart failure and is associated with a high mortality rate. However, the molecular mechanism underlying MF has remained elusive. Buyang Huanwu decoction (BYHWD), a traditional Chinese medicine (TCM) formula for cardiovascular diseases, exhibits good anti-inflammatory and blood-activating properties. In the present study, we studied the MF inhibitory effect of BYHWD using network pharmacology and experimental validation. We used several databases to collect information on MF and related drugs and finally obtained cross-targets for BYHWD and MF. After that we got protein-protein interaction (PPI) network and performed gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses to obtain key signaling pathways for further study. After screening, interleukin (IL)-6, IL-1β, and matrix metallopeptidase 9 (MMP9) were selected for in vitro experiments, which included cell cycle studies, cell migration rate, quantitative reverse transcription-polymerase chain reaction (qRT-PCR), and western blotting (WB). Finally, molecular docking was performed to validate the results. We found 299 common targets between BYHWD and MF. In total, 75 core targets of the PPI core network were selected for enrichment analysis, and the IL-17 signaling pathway, which is intricately linked to inflammation, was speculated to be involved. Accordingly, in vitro experiments were performed. Altogether, our findings indicated that BYHWD can affect the function of cardiac fibroblasts and reduce the expression of inflammatory factors in rats. In summary, BYHWD can inhibit MF by reducing the expression of inflammatory factors and affecting the IL-17 signaling pathway.

Since 1990, the incidence of stroke has been rising to become the second leading cause of death in the world, posing a huge burden and challenge to society and families. Astragalus membranaceus and Ligusticum chuanxiong (A&L) have been used as traditional Chinese medicine (TCM) prescriptions to treat and prevent the occurrence of ischemic stroke (IS), but their mechanism of action on the disease has not been fully elucidated. The main objective of this study was to reveal the pharmacological mechanism of A&L in the treatment of IS and to perform preliminary validation. The active ingredients of A&L were obtained from the systematic pharmacology platform of traditional Chinese medicine (TCMSP) database, whereas the genes of IS were obtained from 2 major databases, DrugBank and GeneCards. Cytoscape_v3.8.2 was used to construct the TCM-active ingredient and TCM-active ingredient-cross-target-disease relationship maps, and the MCODE plug-in was used to obtain the core genes, whereas the protein-protein interaction maps were obtained from the STRING database. The results of gene ontology and Kyoto encyclopedia of genes and genomes enrichment were obtained using the Hiplot online tool, and the small molecules in the relevant signalling pathways were verified by molecular docking using AutoDock. A&L contained a total of 26 eligible active ingredients, sharing 161 common targets with IS. A total of 58 core genes with 1326 edges were obtained using the MCODE plug-in. Gene ontology and Kyoto encyclopedia of genes and genomes enrichment results showed association with interleukin-17 signaling pathway, lipid and atherosclerosis, tumor necrosis factor signaling pathway, and Toll-like receptor signaling pathway, which mainly mediates the development of inflammatory responses. Furthermore, molecular docking was conducted and most of the components were found to have good binding to the receptors. This study demonstrates that A&L can be used to treat IS by controlling the inflammatory response through multiple targets and multiple pathways, and provides a reference for subsequent trials.

After the World Health Organization declared coronavirus disease 2019 , as a global pandemic, global health workers have been facing an unprecedented and severe challenge. Currently, a mixturetion to inhibit the exacerbation of pulmonary inflammation caused by COVID-19, Fuzheng Yugan Mixture (FZYGM), has been approved for medical institution mixturetion notification. However, the mechanism of FZYGM remains poorly defined. This study aimed to elucidate the molecular and related physiological pathways of FZYGM as a potential therapeutic agent for COVID-19. Active molecules of FZYGM were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), while potential target genes of COVID-19 were identified by DrugBank and GeneCards. Compound-target networks and protein-protein interactions (PPI) were established by Cytoscape_v3.8.2 and String databases, respectively. The gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed. Finally, a more in-depth study was performed using molecular docking. Our study identified 7 active compounds and 3 corresponding core targets. The main potentially acting signaling pathways include the interleukin (IL)-17 signaling pathway, tumor necrosis factor (TNF) signaling pathway, Toll-like receptor signaling pathway, Th17 cell differentiation, and coronavirus disease-COVID-19. This study shows that FZYGM can exhibit anti-COVID-19 effects through multiple targets and pathways. Therefore, FZYGM can be considered a drug candidate for the treatment of COVID-19, and it provides good theoretical support for subsequent experiments and clinical applications of COVID-19. Abbreviations: BP = biological processes, CC = cell composition, COVID-19 = coronavirus disease 2019, FZYGM = Fuzheng Yugan Mixture, GO = gene ontology, IL = interleukin, KEGG = Kyoto encyclopedia of genes and genomes, MAPKs = mitogenactivated protein kinases, NF-κB = transcription factor family nuclear factor kappa-B, PPI = protein-protein interaction, TCMSP = traditional Chinese medicine systems pharmacology database and analysis platform, TCM = traditional Chinese medicine, TNF = tumor necrosis factor, TLR = toll-like receptor.

Lung adenocarcinoma (LUAD) is a highly prevalent malignancy worldwide, and its clinical prognosis assessment and treatment is a major research direction. Both ferroptosis and cuproptosis are novel forms of cell death and are considered to be important factors involved in cancer progression. To further understand the correlation between the cuproptosis-related ferroptosis genes (CRFGs) and the prognosis of LUAD, we explore the molecular mechanisms related to the development of the disease. We constructed a prognostic signature containing 13 CRFGs, which, after grouping based on risk score, revealed that the LUAD high-risk group exhibited poor prognosis. Nomogram confirmed that it could be an independent risk factor for LUAD, and ROC curves and DCA validated the validity of the model. Further analysis showed that the three prognostic biomarkers (LIFR, CAV1, TFAP2A) were significantly correlated with immunization. Meanwhile, we found that a LINC00324/miR-200c-3p/TFAP2A regulatory axis could be involved in the progression of LUAD. In conclusion, our report reveals that CRFGs are well correlated with LUAD and provide new ideas for the construction of clinical prognostic tools, immunotherapy, and targeted therapy for LUAD.