Neuroprotective potentials of ferulic acid against intracerebral hemorrhage COVID-19 through using network pharmacology approach and molecular docking analysis.

Intracerebral hemorrhage (ICH) refers to severe stroke subtype that may be life-threatening or even cause death. It is clinically observed that coronavirus disease 2019 (COVID-19) may be associated with the high mortality in ICH patients. Ferulic acid, one of the functional bioactive ingredients from medicinal herbs, has been preclinically proven with beneficial activities, including neuroprotection and anti-inflammation actions. Based on current findings, we assumed that ferulic acid may play the potentials against COVID-19 when ICH. In this study, preclinical approach including network pharmacology and molecular docking was applied to detect and identify the core targets and pharmacological mechanisms involved in ferulic acid on COVID-19 and ICH. The network pharmacology analysis identified total eleven core targets in ferulic acid and COVID-19/ICH. The molecular mechanisms of ferulic acid against COVID-19 and ICH were mostly involved in induction of antiviral activity, modulation of inflammatory reaction. Molecular docking model revealed that ferulic acid might effectively bind to epidermal growth factor receptor (EGFR) protein based on strong binding capability. Current findings reflected the preclinical pharmacological activities of ferulic acid that might use for management of COVID-19 and ICH. Although there are the limitations that are absence of experimental validation, these bioinformatic results underline that ferulic acid may exert simultaneous potentials against COVID-19 and ICH through modulating integrative mechanisms and key biotargets.

Kaempferol has potential anti-coronavirus disease 2019 (COVID-19) targets based on bioinformatics analyses and pharmacological effects on endotoxin-induced cytokine storm.

COVID-19 has infected 272 million patients and caused 5.33 million deaths around the world, and it remains the main global threat. Previous studies revealed that Chinese traditional medicine is an effective treatment for COVID-19 infection. This study aims to reveal the pharmacological effects of kaempferol, which is the active component of Radix Bupleuri and Tripterygii Radix, and potential mechanisms for the treatment of COVID-19. Here, we employed the bioinformatics methods to filter the anti-COVID-19 candidate genes of kaempferol, which mainly enriched in inflammation (TNF, JUN, etc.) and virus infection (AKT1, JNK, etc.). The Transcription levels of AKT1, JNK and JUN were significantly reduced by kaempferol treatment in the LPS-activated macrophages. In addition, kaempferol reduced the secretion of inflammatory factors by LPS-stimulated macrophages, inhibited MAPK/NF-κB signaling and regulated macrophage polarization to M2 type in vitro, and suppressed endotoxin-induced cytokine storm and improved survival in mice. Molecular docking analysis demonstrated that kaempferol was probable to bind the COVID-19 protein 5R84 and formatted hydrogen bond with the residues, the free binding energy of which was lower than the original ligand. In summary, our current work indicates that kaempferol has anti-COVID-19 potential through the reduction of COVID-19-induced body dysfunction and molecule-protein interaction, and bioinformatics results clarify that some of these key target genes might serve as potential molecular markers for detecting COVID-19.

Network pharmacology analysis of the mechanism of Huisheng oral liquid in the treatment of lung cancer.

Background: To study the active ingredient and possible mechanism of Huisheng oral liquid in the treatment of lung cancer by network pharmacology. Methods: The active ingredient and drug targets of Huisheng oral liquid were screened using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and Traditional Chinese Medicine Integrated Database (TCMID), and lung cancer targets were screened using the Gene Expression Omnibus (GEO) database. The drug targets of the effective components of Huisheng oral liquid were matched with disease targets and the obtained intersecting targets were imported into the Search Tool for the Retrieval of Interaction Gene/Proteins (STRING) database to construct a protein-protein interaction (PPI) network. R software and the Kyoto Encyclopedia of Genes and Genomes (KEGG) database were used for Gene Ontology (GO) and KEGG enrichment analyses, and Cytoscape software was used to construct a Huisheng oral liquid component target-lung cancer target network. The function and pathway of the therapeutic target of Huisheng oral liquid for lung cancer were analyzed. Results: A total of 1,376 differentially expressed genes (DEGs) of lung cancer were obtained, and 185 potential effective components of Huisheng oral liquid in the treatment of lung cancer were obtained, including quercetin, luteolin, kaempferol, and baicalein. There were 36 intersecting targets between Huisheng oral liquid and lung cancer, and the key targets for lung cancer treatment were CDKN1A, CCNB1, MDM2, CDK1, ErbB2, E2F1, EGFR, etc. Huisheng oral liquid mainly regulates the p53 signaling pathway. Conclusions: The mechanism of Huisheng oral liquid in the treatment of lung cancer is mainly reflected in regulating tumor cell apoptosis, inhibiting angiogenesis, and improving immunity.

Tea Ingredients Have Anti-coronavirus Disease 2019 (COVID-19) Targets Based on Bioinformatics Analyses and Pharmacological Effects on LPS-Stimulated Macrophages.

Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that caused millions of deaths and lacks treatment. Although several studies have focused on the major component of green tea, epigallocatechin 3-gallate (EGCG), which is efficient in preventing COVID-19, systemic analyses of the anti-COVID-19 potential of green tea remain insufficient. Here, we co-analyzed the target genes of tea ingredients and COVID-19 signature genes and found that epigallocatechin 3-acetalbehyde was capable of reversing the major molecular processes of COVID-19 (MAPK and NF-κB activation). These findings were further supported by Western blotting (WB), immunofluorescence, and quantitative polymerase chain reaction (qPCR) in LPS-stimulated macrophages. Moreover, using molecular docking analysis, we identified three tea ingredients ((-)-catechin gallate, D-(+)-cellobiose, and EGCG) that may interact with the vital SARS-CoV-2 protein, 5R84, compared with the qualified 5R84 ligand WGS. Thus, our results indicated that tea ingredients have the potential to treat COVID-19 by suppressing the COVID-19 signature genes and interacting with the vital SARS-CoV-2 protein.

Identifying the mechanisms and molecular targets of Hongjingtian injection on treatment of TGFß1-induced HK-2 cells: coupling network pharmacology with experimental verification.

Background: The study was designed to investigate the mechanism of Hongjingtian injection (HJT) in treating tubulointerstitial fibrosis (TIF) in chronic kidney diseases (CKD) based on network pharmacology and experimental verification. Methods: First, active ingredients of HJT obtained from literature were screened using the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database and putative targets of active ingredients were predicted using the Chemmapper, SEA and Swiss Target Prediction database. Subsequently, the "compound-target" network for HJT was established. In addition, TIF disease targets were obtained from the GEO gene chips (accession number GSE20247). The intersecting targets of HJT and TIF obtained through Venny 2.1.0. The key targets and signaling pathways were determined by protein-protein interaction (PPI) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Finally, quantitative polymerase chain reaction (qPCR) and Western blot (WB) were used to validate the predicted five key genes targets (GAD1, SPHK1, P4HA2, AKR1B1, PTGES). And immunofluorescence, wound healing assay and transwell assay were used to verify the anti-fibrosis effect of HJT on TGFß1-induced HK-2 cells. Results: The network pharmacology analysis results showed that there are 36 active compounds and 1,044 putative target genes in HJT. HJT may exert its inhibitory effects against TIF by acting on 79 key targets. Besides, KEGG analysis indicated that the anti-TIF effect of HJT was mediated by multiple pathways, such as the metabolic pathway, pathways in cancer and gap junction. Among them, GAD1, SPHK1, P4HA2, AKR1B1 and PTGES are enriched in the metabolic pathway. In vitro induced cell model experiments, the immunofluorescence experience showed that HJT could restore EMT of HK-2 cells. In addition, the qPCR and WB results showed that HJT significantly restored the expression of the SPHK1 in HK-2 cells induced by TGF-ß1. Conclusions: This study comprehensively illuminated the active compounds, potential targets, and molecular mechanism of HJT against TIF. HJT treatment of TIF may reverse EMT caused by TGF-ß1 by targeting SPHK1.

Exploring anti-liver cancer targets and mechanisms of oxyresveratrol: in silico and verified findings.

The aim of current study was to exhume the potential targets and molecular mechanisms of oxyresveratrol, a structurally re-constructed resveratrol, for treating liver cancer through bioinformatics investigation and experimentative validation. To start with, the network pharmacology approach and molecular docking technology were used to uncover all candidate targets of oxyresveratrol to treat liver cancer, accompanied with identified anti-liver cancer targets including estrogen receptor 1 (ESR1), epidermal growth factor receptor (EGFR). In addition, more pharmacological mechanisms of oxyresveratrol against liver cancer were revealed in details. In experimental verification, the clinical samples of liver cancer showed elevated ESR1, EGFR mRNA expressions. The in-vitro data indicated that intracellular contents of ESR1, EGFR mRNAs in oxyresveratrol-treated liver cancer cells were reduced. Taken together, the bioinformatics and validated findings have highlighted detailed pharmacological targets and molecular mechanisms of oxyresveratrol for treating liver cancer. Following with experimental verification, the identified genes of ESR1, EGFR may function as potential screening anti-liver cancer markers.

Establishment of a Lung Cancer Discriminative Model Based on an Optimized Support Vector Machine Algorithm and Study of Key Targets of Wogonin in Lung Cancer.

An optimized support vector machine model was used to construct a lung cancer diagnosis model based on serological indicators, and a molecular regulation model of Wogonin, a component of Scutellaria baicalensis, was established. Serological indexes of patients were collected, the grid search method was used to identify the optimal penalty coefficient C and parameter g of the support vector machine model, and the benign and malignant auxiliary diagnosis model of isolated pulmonary nodules based on serological indicators was established. The regulatory network and key targets of Wogonin in lung cancer were analyzed by network pharmacology, and key targets were detected by western blot. The relationship between serological susceptibility genes and key targets of Wogonin was established, and the signaling pathway of Wogonin regulating lung cancer was constructed. After support vector machine parameter optimization (C = 90.597, g = 32), the accuracy of the model was 90.8333%, with nine false positives and two false negative cases. Ontology functional analysis of 67 common genes between Wogonin targets and lung cancer-related genes showed that the targets were associated with biological processes involved in peptidye-serine modification and regulation of protein kinase B signaling; cell components in the membrane raft and chromosomal region; and molecular function in protein serine/threonine kinase activity and heme binding. Kyoto Encyclopedia of Genes and Genomes analysis showed that the regulation pathways involved the PI3K-Akt signaling pathway, ERBB signaling pathway, and EGFR tyrosine kinase inhibitor resistance. In vitro analyses using lung cancer cells showed that Wogonin led to significantly increased levels of cleaved caspase-3 and Bad and significantly decreased Bcl-2 expression in a concentration-dependent manner. ErbB4 expression also significantly decreased in lung cancer cells after treatment with Wogonin. A regulatory network of Wogonin regulating lung cancer cell apoptosis was constructed, including the participation of serological susceptibility genes. There is a certain regulatory effect between the serological indexes that can be used in the diagnosis of lung cancer and the key targets of Chinese herbal medicine treatment of lung cancer, which provides a new idea for the diagnosis, treatment and prognosis of clinical lung cancer.

Molecular Mechanism of Anti-thrombosis and Anti-platelet Aggregation of Sparganii Rhizoma Based on Integrated Pharmacological Platform / 中国实验方剂学杂志

Objective: To study on the molecular mechanism of anti-platelet aggregation and anti-thrombosis of Sparganii Rhizoma. Method: Based on the data information and analysis functions of traditional Chinese medicine(TCM) database,TCM composition database and target database in TCM platform for integration of pharmacology,information of chemical compositions in Sparganii Rhizoma was retrieved,interaction network between potential targets of Sparganii Rhizoma and disease targets was built,and the key targets were enriched and calculated,the gene functions and pathways were analyzed,multidimensional relationship network of " herbal medicines-chemical components-key targets-key pathways" was built. Result: Active ingredients of Sparganii Rhizoma mainly included flavonoids and phenolic acids,such as mountain kaempferol,sanleng acid,linoleic acid,etc.Anti-thrombosis involved 202 key targets,including protein kinase Cδ(PRKCD),glucose kinase(GCK),(PRKAA2),adenosine ribonucleotide activated protein kinase α-2 catalytic subunit,etc;and it was related to the endocrine system,circulatory system,neurodegenerative diseases and other related biological processes and signal pathways.Anti-platelet aggregation involved 136 key targets,including PRKCD,cytochrome C oxidase protein 7C(COX7C),GCK,etc;and it was involved in Parkinson's disease,circulatory system,neurodegenerative diseases and other related biological processes and signal pathways. Conclusion: Sparganii Rhizoma regulates vascular endothelial cell adhesion molecule expression and platelet mitochondrial function mediated apoptosis of platelets mainly through regulating neurotransmitter activity in the central nervous system,in order to exert antithrombotic effect and anti-platelet aggregation effect.

Material Basis and Mechanism of Kaixinsan for Treatment of Alzheimer's Disease Based on Integrated Pharmacological Platform of Chinese Medicine / 中国实验方剂学杂志

Objective: To explore the interrelation of "composition-target-disease" of Kaixinsan on treatment of Alzheimer's disease. Method: Through the integrated pharmacological platform of Chinese medicine V1.0,the active ingredients and potential targets of four Chinese herbs in Kaixinsan were collected,disease targets of Alzheimer's disease were searched,and enriched by the gene ontology database and the Kyoto encyclopedia of genes and genomes at hubs. Result: Among the 250 compounds of Kaixinsan,2 877 targets were associated with Alzheimer's disease.The key targets,such as mitochondrial trifunctional enzyme subunit alpha(HADHA),hydroxyacyl coenzyme A dehydrogenase(HADH),sterol-4-alpha-carboxylate 3-dehydrogenase(NSDHL) and others,played their pharmacological effects mainly through regulating purine and nucleotide metabolism,Huntington's disease,Alzheimer's disease,neurodegenerative diseases,oxidative phosphorylation,and endocrine and metabolic diseases in molecular reactions,such as cytoplasm,mitochondria,adenosine triphosphate binding,and mitochondrial matrix. Conclusion: The platform can predict the key targets and related pathways of Kaixinsan for treatment of Alzheimer's disease,which lays the foundation for further revealing material basis and mechanism of this formula,and plays an important role in digging and developing this classic and famous formula.