Kilgorebisgaard7603

uality of reactive oxygen species and reduce mitochondrial membrane potential, indicating that it could cause hepatotoxicity by destroying cell membrane structure, inhibiting antioxidant enzyme activity, activating oxidative stress and inducing apoptosis. These results proved the reliability of results of network pharmacology. This study preliminarily clarified the material base and the mechanism of potential hepatotoxicity of Epimedii Folium, which provided important information for further research and safe application.To investigate the potential molecular mechanism of the combination of Platycodonis Radix and Lilii Bulbus with the homology of medicine and food in the treatment of pneumonia by means of network pharmacology and in vitro verification experiment. Under the condition of bioavailability(OB)≥30% and drug-like(DL)≥0.18, the active components of Platycodonis Radix and Lilii Bulbus were screened in TCMSP database; the prediction targets of active components were searched from TCMSP, DrugBank and other databases, and the potential targets of pneumonia were obtained through GeneCards and OMIM database. The common targets were obtained by the intersection of drug and disease targets. The PPI network of common targets was constructed by STRING 11.0, and the core targets were obtained by topological analysis. Then the core targets received GO and KEGG analysis with use of WebGestalt and Metascape. The "component-target-pathway" network was constructed with the help of Cytoscape 3.7.1 software, and the componened the scientificity and reliability of the prediction results of network pharmacology, and preliminarily revealed the potential molecular mechanism of the compatibility of Platycodonis Radix and Lilii Bulbus in the treatment of pneumonia. It provides a novel insight on systematically exploring the mechanism of the compatible use of Platycodonis Radix and Lilii Bulbus, and has a certain reference value for the research, development and application of new drugs.To explore the potential molecular mechanism of Mongolian medicine Bawei Sanxiang San in the treatment of chronic heart failure(CHF) through network pharmacology and molecular docking technology. The active ingredients and potential targets of Bawei Sanxiang San were collected by applying TCMSP, BATMAN databases and literature mining. CHF-related genes were collected through TTD, GeneCards and CTD databases. After the potential common targets between Bawei Sanxiang San and CHF were disco-vered, the interaction network diagram of "compound-target-pathway" was constructed using Cytoscape. The intersecting targets were imported into the DAVID database for GO function and KEGG pathway enrichment analysis. Finally, the Autodock_vina software was used to molecularly dock the selected proteins with the active ingredients of Bawei Sanxiang San. The results showed that there were 60 active ingredients in Bawei Sanxiang San that might be used to treat CHF, involving 311 target genes and 7 signaling pathways that directly related to CHF, such as HIF-1 signaling pathway, TNF signaling pathway, adrenergic signaling in cardiomyocytes, aldosterone-regulated sodium reabsorption, calcium signaling pathway, cGMP-PKG signaling pathway, renin secretion. Additionally, molecular docking showed that the bioactive compounds had good binding activity with the protein receptors of key target genes. find protocol Bawei Sanxiang San might exert therapeutic effects on CHF by regulating cardiomyocytes, angiogenic and inflammation related targets and pathways in a multi-component, multi-target and multi-pathway manner.This paper aims to investigate the active components and mechanism of Valerianae Jatamansi Rhizoma et Radix against post-traumatic stress disorder(PTSD) based on network pharmacology and molecular docking. The main components and targets of Valerianae Jatamansi Rhizoma et Radix were obtained by literature mining methods, SwissTargetPrediction, BATMAN and ETCM database. PTSD-related genes were collected from DrugBank, TTD and CTD databases. The protein-protein interaction(PPI) network was constructed based on STRING, and the core targets of Valerianae Jatamansi Rhizoma et Radix in the treatment of PTSD were selected according to the topological parameters. Cytoscape 3.7.2 was used to construct the compound-target network. DAVID database was used for GO enrichment analysis and KEGG enrichment analysis. The relationship network of "compound-target-pathway" was constructed through Cytoscape 3.7.2 to analyze and obtain the key targets and their corresponding components in the network, and their results wtion. This study used the network of compound-target-pathway and molecular docking technology to screen the effective components of Valerianae Jatamansi Rhizoma et Radix against PTSD, and explore its anti-PTSD mechanism, so as to provide scientific basis for exploring the anti-PTSD drugs from traditional Chinese medicine and clarifying its mechanism of action.In this paper, network pharmacology method and molecular docking technique were used to investigate the target genes of Olibanum and Myrrha compatibility and the possible mechanism of action in the treatment of rheumatoid arthritis(RA). Our team obtained the main active components of Olibanum-Myrrha based on literatures study, relevant traditional Chinese medicine systematic pharmacological databases and literature retrieval, and made target prediction of the active components through SwissTargetPrediction database. At the same time, RA-related targets were collected through DrugBank, GeneCards and Therapeutic Target Database(TDD) databases; and VENNY 2.1 was use to collect intersection targets to map common targets of drug and disease of Venn diagram online. The team used STRING database to construct PPI protein interaction network diagram, and screen out core targets according to the size of the interaction, and Cytoscape 3.6.0 software was used to construct network models of "traditional Chinese medicentific basis for the study on the mechanism of Olibanum-Myrrha compatibility.Single-cell RNA sequencing (scRNA-seq) is useful for exploring cell heterogeneity. For large animals, however, little is known regarding spermatogonial stem cell (SSC) self-renewal regulation, especially in dairy goats. In this study, we described a high-resolution scRNA-seq atlas derived from a dairy goat. We identified six somatic cell and five spermatogenic cell subtypes. During spermatogenesis, genes with significantly changed expression were mainly enriched in the Notch, TGF-β, and Hippo signaling pathways as well as the signaling pathway involved in the regulation of stem cell pluripotency. We detected and screened specific candidate marker genes ( TKTL1 and AES) for spermatogonia. Our study provides new insights into goat spermatogenesis and the development of testicular somatic cells.