Bioinformatics analysis of hepatic fibrosis based on hepatic stellate cells

Objective:To analyze differentially expressed genes in human hepatic stellate cells(HSCs)based on data from the GEO database and to identify important target genes for hepatic fibrosis(HF).Methods:In GEO database,microarray GSE11954 of the GEO database was used to obtain data on differential gene expression in human HSCs and was analyzed using GEO2R,using a P value of<0.01 and log2FC value of≥2 for the screening.The genes were input into the DAVID database for enrichment analysis of genes and pathways,followed by protein interaction analysis and module analysis.The results were compared with the results found through text mining.Results:Two hundred sixty two differentially expressed genes(DEGs)were identified.The results of gene bulk enrichment showed that the functional molecules encoded by the DEGS were mainly located in the cytoplasm,extracellular matrix and nucleosome,while the molecular functions were mainly related to"regulating actin binding","protein kinase binding"and"kinase activity".The biological processes they were found to be involved in"regulating cell division","immune response"and"collagen decomposition reaction".KEGG signaling pathway analysis found that they were mainly involved in"cell cycle signaling pathway","ECM receptor interaction signaling pathway","p53 signaling pathway"and"FOXO signaling pathway".Text mining results suggested that MMP1 and ETV6 are potential molecular targets for HF therapy.Conclusion:The results of bioinformatics analysis identified targets and signaling pathways involved in the pathogenesis of HF,but these require further experimental verification.

Application of network pharmacology in uncovering the biological basis of using the Banxia Baizhu Tianma decoction for hypertension treatment

Background:The Banxia Baizhu Tianma decoction(BBTD)is widely used in the clinical treatment of hypertension and has definite curative effects.However,its active ingredients and mechanism of action in hypertension treatment are still unknown.In this study,network pharmacology was used to elucidate the potential antihypertensive mechanism of BBTD.Methods:The active ingredients and targets of BBTD were screened in the pharmacological database of the Chinese medicine system.The targets that are related to hypertension were obtained from the Online Mendelian Inheritance in Man(OMIM),Drugbank,and Genecards databases.The String database was used to analyze the prevention and treatment of hypertension by BBTD.The interaction of important targets was assessed,and the related network data was visualized using the Cytoscape software.The OmicShare platform was employed in conducting enrichment analyses of gene functions and pathways of important targets,in addition to evaluating the relationship between important targets and the phenotype of hypertension.Molecular docking of the main active ingredients with important targets was also assessed.Results:In this study,194 main active ingredients and 616 targets of BBTD were screened,and 5,819 related targets that are closely related to hypertension were unearthed.A total of 445 BBTD key targets for the treatment of hypertension were obtained,along with 73 core targets from performed network topology and module analysis on the key targets.The enrichment analyses of GO and KEGG showed that oxidative stress,HIF-1 signal,IL-17 signal,and TNF signal play a vital role in hypertension.Molecular docking studies have revealed that the main biologically active components can be combined with key targets quite well.Conclusion:The potential mechanism of BBTD in treating hypertension involves many components,targets,and pathways.Some of the potential targets for the prevention and treatment of hypertension are ESR1,MAPK,TP53,TNF,and MMP9.These findings provide a reference for further research on the potential mechanism of action for the BBTD-based treatment of hypertension.

Limits on sequential sharing of nonlocal advantage of quantum coherence

Sequential sharing of nonlocal correlation is inherently related to its application.We address the question as to how many observers can share the nonlocal advantage of quantum coherence(NAQC)in a(d×d)-dimensional state,where d is a prime or a power of a prime.We first analyze the trade-off between disturbance and information gain of the general d-dimensional unsharp measurements.Then in a scenario where multiple Alices perform unsharp measurements on one party of the state sequentially and independently and a single Bob measures coherence of the conditional states on the other party,we show that at most one Alice can demonstrate NAQC with Bob.This limit holds even when considering the weak measurements with optimal pointer states.These results may shed light on the interplay between nonlocal correlations and quantum measurements on high-dimensional systems and the hierarchy of different quantum correlations.