A network pharmacology strategy to investigate the anti-inflammatory mechanism of luteolin combined with in vitro transcriptomics and proteomics.

Luteolin, a natural flavonoid exists in various medicinal plants, has strong anti-inflammatory effect. However, anti-inflammatory mechanism of luteolin has not been fully explored. Hence, we systematically investigated druggability and anti-inflammatory mechanism of luteolin based on network pharmacology and in vitro experiments. The absorption, distribution, metabolism and excretion of luteolin were evaluated by TCMSP server. Targets associated with luteolin and inflammation were collected from public databases, and the overlapping targets between luteolin and inflammation were analyzed by Draw Venn diagram. Then the protein-protein interaction network of luteolin against inflammation was constructed. Further, gene function and pathway enrichment analysis were performed. Finally, in vitro experiments were carried out to estimate the accuracy of predicted target genes. ADME results indicated that luteolin has great potential to be developed into a drug. 226 overlapping targets were screened by matching 280 targets of luteolin with 9015 targets of inflammation. 9 core targets of luteolin against inflammation were identified, including MMP9, MAPK1, HSP90AA1, CASP3, ALB, EGFR, SRC, HRAS and ESR1. Gene function were mainly involved in metabolism, energy pathways and signal transduction. Metabolic pathways, pathways in cancer, PI3K-AKT signaling pathway, Ras signaling pathway and so on might be the critical pathways of luteolin against inflammation. RT-qPCR and ELISA results indicated that luteolin decreased the expression of most of core genes at protein and mRNA levels (MMP9, MAPK1, HSP90AA1, EGFR, SRC and HRAS). Luteolin is expounded to have great potential to be developed into a drug and target various genes and pathways to perform anti-inflammatory effect.

Exploring Molecular Mechanism of Huangqi in Treating Heart Failure Using Network Pharmacology.

Heart failure (HF), a clinical syndrome with a high incidence due to various reasons, is the advanced stage of most cardiovascular diseases. Huangqi is an effective treatment for cardiovascular disease, which has multitarget, multipathway functions. Therefore, we used network pharmacology to explore the molecular mechanism of Huangqi in treating HF. In this study, 21 compounds of Huangqi, which involved 407 targets, were obtained and reconfirmed using TCMSP and PubChem databases. Moreover, we used Cytoscape 3.7.1 to construct compound-target network and screened the top 10 compounds. 378 targets related to HF were obtained from CTD and GeneCards databases and HF-target network was constructed by Cytoscape 3.7.1. The 46 overlapping targets of HF and Huangqi were gotten by Draw Venn Diagram. STRING database was used to set up a protein-protein interaction network, and MCODE module and the top 5 targets with the highest degree for overlapping targets were obtained. GO analysis performed by Metascape indicated that the overlapping targets were mainly enriched in blood vessel development, reactive oxygen species metabolic process, response to wounding, blood circulation, and so on. KEGG analysis analyzed by ClueGO revealed that overlapping targets were mainly enriched in AGE-RAGE signaling pathway in diabetic complications, IL-17 signaling pathway, HIF-1 signaling pathway, c-type lectin receptor signaling pathway, relaxin signaling pathway, and so on. Finally, molecular docking showed that top 10 compounds of Huangqi also had good binding activities to important targets compared with digoxin, which was carried out in CB-Dock molecular docking server. In conclusion, Huangqi has potential effect on regulating overlapping targets and GE-RAGE signaling pathway in diabetic complications, IL-17 signaling pathway, HIF-1 signaling pathway, and so on to be a latent multitarget, multipathway treatment for HF.

A network pharmacology-based strategy for predicting anti-inflammatory targets of ephedra in treating asthma.

Asthma, the most common chronic respiratory disease in the world, is involved in a sustained inflammatory response caused by a variety of immune cells. Ephedra with multi-target, multi-pathway functions is an effective treatment for asthma. However, the ingredients and anti-inflammatory targets of ephedra in treating asthma are unclear. Therefore, there is a need for further research. Ephedra-related and anti-inflammatory targets were found and then combined to get intersection, which represented potential anti-inflammatory targets of ephedra. Moreover, compound-anti-inflammatory target and asthma-target protein-protein interaction network were merged to get the protein-protein interaction network intersection and core genes in asthma-target protein-protein interaction network. For the anti-inflammatory targets of ephedra in treating asthma, Gene Ontology and pathway analysis were executed to confirm gene functions of ephedra in antagonizing inflammation of asthma. Finally, molecular docking, qRT-PCR, WB and ELISA were performed to assess the binding activities between the compounds and anti-inflammatory targets of ephedra in treating asthma. Critical compounds and anti-inflammatory targets of ephedra in treating asthma were identified, including quercetin, luteolin, kempferol, naringenin, beta-sitosterol, SELE, IL-2 and CXCL10. The biological processes of anti-inflammatory targets of ephedra in treating asthma were involved in immune response, inflammatory response, cell-cell signaling and response to lipopolysaccharide. Moreover, 22 pathways were obtained and we proved that critical compounds inhabited the expression of SELE, IL-2 and CXCL10 at mRNA and protein levels.

Geniposide attenuates Aß25-35-induced neurotoxicity via the TLR4/NF-κB pathway in HT22 cells.

Alzheimer's disease (AD), a neurodegenerative disorder, is marked by the accumulation of amyloid-ß (Aß) and neuroinflammation which promote the development of AD. Geniposide, the main ingredient isolated from Chinese herbal medicine Gardenia jasminoides Ellis, has a variety of pharmacological functions such as anti-apoptosis and anti-inflammatory activity. Hence, we estimated the inflammatory cytotoxicity caused by Aß25-35 and the neuroprotective effects of geniposide in HT22 cells. In this research, following incubation with Aß25-35 (40 µM, 24 h) in HT22 cells, the methylthiazolyl tetrazolium (MTT) and lactate dehydrogenase (LDH) release assays showed that the cell survival rate was significantly decreased. In contrast, the reactive oxygen species (ROS) assay indicated that Aß25-35 enhanced ROS accumulation and apoptosis showed in both hoechst 33342 staining and annexin V-FITC/PI double staining. And then, immunofluorescence test revealed that Aß25-35 promoted p65 to transfer into the nucleus indicating p65 was activated by Aß25-35. Moreover, western blot analysis proved that Aß25-35 increased the expression of nitric oxide species (iNOS), tumor necrosis factor-α (TNF-α), cyclooxygenase-2 (COX-2) and interleukin-1ß (IL-1ß). Simultaneously, Aß25-35 also promoted the expression of toll-like receptor 4 (TLR4), p-p65 and p-IκB-α accompanied with the increase in the level of beta-secretase 1 (BACE1) and caspase-3 which further supported Aß25-35 induced apoptosis and inflammation. Fortunately, this up-regulation was reversed by geniposide. In conclusion, our data suggest that geniposide can alleviate Aß25-35-induced inflammatory response to protect neurons, which is possibly involved with the inhibition of the TLR4/NF-κB pathway in HT22 cells. Geniposide may be the latent treatment for AD induced by neuroinflammation and apoptosis.