Protective effect of Xixin-Ganjiang herb pair for warming the lungs to dissolve phlegm in chronic obstructive pulmonary disease rats based on integrated network pharmacology and metabolomics.

Xixin-Ganjiang herb pair (XGHP) is a classic combination for warming the lungs to dissolve phlegm and is often used to treat a variety of chronic lung diseases; it can treat the syndrome of cold phlegm obstruction of lungs. First, ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was used to examine the composition of XGHP, and network pharmacology was used to predict its potential core targets and signaling pathways in the current study. Second, a rat model of chronic obstructive pulmonary disease (COPD) was established for assessing the anti-COPD activity of XGHP, and metabolomics was used to explore the biomarkers and metabolic pathways. Finally, the sample was validated using molecular docking and Western blotting. The integration of metabolomics and network pharmacology results identified 11 targets, 3 biomarkers, 3 pathways, and 2 metabolic pathways. Western blotting showed that XGHP effectively regulated the expression of core proteins via multiple signaling pathways (downregulation of toll-like receptor 4 [TLR4] and upregulation of serine/threonine-protein kinase 1 [p-AKT1] and nitric oxide synthase 3 [NOS3]). Molecular docking results showed that the 10 potentially active components of XGHP have good affinity with tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), matrix metalloproteinase 9 (MMP-9), TLR4, p-AKT1, and NOS3. Our findings suggest that XGHP may regulate glucolipid metabolism, improve energy supply, and inhibit inflammatory responses (TNF-α, IL-6, and MMP-9) via the PI3K-Akt signaling pathway and HIF-1 signaling pathway in the management of COPD.

Integrated network pharmacology and metabolomics analyses of the mechanism underlying the efficacy of Ma-Mu-Ran Antidiarrheal Capsules against dextran sulfate sodium-induced ulcerative colitis.

The current study utilizes a comprehensive network pharmacology and metabolomics analysis to investigate the mechanism of action of Ma-Mu-Ran Antidiarrheal Capsules (MMRAC) for the treatment of ulcerative colitis (UC). In this study, we established a mouse model of UC using dextran sulfate sodium. Colonic tissues were collected from mice and then subjected to hematoxylin and eosin staining, as well as histopathological analysis, to assess the therapeutic effect of MMRAC. Furthermore, we assessed the mechanisms through which MMRAC combats UC by employing integrated metabolomics and network pharmacology strategies. Lastly, we validated the key targets identified through western blot and molecular docking. An integrated network of metabolomics and network pharmacology was constructed using Cytoscape to identify eight endogenous metabolites involved in the therapeutic action of MMRAC on UC. Further comprehensive analyses were focused on four key targets and their associated core metabolites and pathways. The results of western blot and molecular docking demonstrated that MMRAC could modulate key targets and their expression levels. The cumulative results indicated that MMRAC restored intestinal function in UC, reduced inflammatory responses, and alleviated oxidative stress by influencing the methionine and cysteine metabolic pathways, as well as the urea cycle. In addition, it had an impact on arginine, proline, glutamate, aspartate, and asparagine metabolic pathways and their associated targets.

Transcriptomics and metabolomics revealed the pulmonary protective mechanism of Xixin-Ganjiang Herb Pair for warming the lungs to dissolve phlegm in COPD rats.

Xixin-Ganjiang Herb Pair (XGHP), a classic combination treatment to warm the lungs and dissolve phlegm, is widely used in the treatment of various pulmonary diseases. Chronic obstructive pulmonary disease (COPD) refers to a group of chronic obstructive airway diseases that can seriously harm human health. However, the effective components, targets, and pathways that underlie XGHP in the treatment of COPD remain unclear. Therefore, this study initially identified the effective components of XGHP through the use of UPLC-MS/MS and pharmacologic methods of traditional Chinese medicine. Secondly, transcriptomic analysis of the lung tissues of rats revealed the pharmacodynamic transcripts of each group, and metabolomics analysis revealed the differential metabolites associated with XGHP treatment. Finally, molecular docking of effective components with transcriptome genes was performed and western blotting was performed in order to determine the expression of related proteins in rat lung tissue. Overall, 30 effective components of XGHP were identified, including L-asarinin, 6-gingerol, sesamin, kaempferol, and quercetin. Transcriptomic studies demonstrated that expression of 386 genes recovered after XGHP treatment, and that they were mainly enriched in the oxidative phosphorylation and AMPK signaling pathways. According to the metabolomics studies, expression of eight metabolites differed between the COPD and the XGHP groups. These metabolites were mainly involved the biosynthesis of unsaturated fatty acids. Finally, the transcriptomic and metabolomics data were integrated. FASN and SCD in AMPK signaling pathway were directly linked to certain metabolites, including linoleic acid, palmitic acid, and oleic acid. These results indicate that XGHP can inhibit pAMPK expression and negatively regulate FASN and SCD expression during treatment of COPD in order to enhance the biosynthesis of unsaturated fatty acids and maintain energy homeostasis.

Metabolomics integrated network pharmacology reveals the mechanism of Ma-Mu-Ran Antidiarrheal Capsules on acute enteritis mice.

Acute enteritis (AE) is a type of digestive disease caused by biochemical factors that irritate the intestinal tract or pathogenic bacteria that infect it. In China, Ma-Mu-Ran Antidiarrheal Capsules (MMRAC) have been applied against diarrhea caused by AE and bacillary dysentery for many years, but the underlying mechanisms of their beneficial effects are not known. In the present study, network pharmacology and metabolomics were performed to clarify the active ingredients of MMRAC and explore the specific mechanism of MMRAC on AE mice. A total of 43 active components of MMRAC with 87 anti-AE target genes were identified, and these target genes were enriched in IL-17 and HIF-1 signaling pathways. Integration analysis revealed that purine metabolism was the critical metabolic pathway by which MMRAC exerted its therapeutic effect against AE. Specifically, MAPK14, MMP9, PTGS2, HIF1A, EGLN1, NOS2 were the pivotal targets of MMRAC for the treatment of AE, and Western blot analysis revealed MMRAC to decrease protein levels of these pro-inflammatory signaling molecules. According to molecular docking, these key targets have a strong affinity with the MMRAC compounds. Collectively, MMRAC relieved the colon inflammation of AE mice via regulating inflammatory signaling pathways to reduce hypoxia and improved energy metabolism.

Integrated Metabolomics and Network Pharmacology to Reveal the Mechanisms of Guizhi-Fuling Treatment for Myocardial Ischemia.

Myocardial ischemia is a cardio-physiological condition due to a decrease in blood perfusion to the heart, leading to reduced oxygen supply and abnormal myocardial energy metabolism. Guizhi-Fuling (GZFL) is effective in treating Myocardial ischemia. However, its mechanism of action is unclear and requires further exploration. We attempt to decipher the mechanisms behind GZFL treating Myocardial ischemia by integrating metabolomics and network pharmacology. In this study, myocardial metabolomic analysis was performed using GC/MS to identify the potential mechanism of action of GZFL during myocardial ischemia. Then, network pharmacology was utilized to analyze key pathways and construct a pathway-core target network. Molecular docking was incorporated to validate core targets within network pharmacological signaling pathways. Finally, western blots were utilized to verify core targets of metabolomics, network pharmacology integrated pathways, and key signaling targets. Thus, 22 critical biomarkers of GZFL for treating myocardial ischemia were identified. Most of these metabolites were restored using modulation after GZFL treatment. Based on the network pharmacology, 297 targets of GZFL in treating myocardial ischemia were identified. The further comprehensive analysis focused on three key targets, such as Tyrosine hydroxylase (TH), myeloperoxidase (MPO), and phosphatidylinositol 3-kinases (PIK3CA), and their related metabolites and pathways. Compared with the model group, the protein expression levels of TH, MPO and PIK3CA were reduced in GZFL. Therefore, the mechanism of GZFL for treating myocardial ischemia could inhibit myocardial inflammatory factors, reduce myocardial inflammation, and restore endothelial function while controlling norepinephrine release and uric acid concentration.

Integration of metabolomics and transcriptomics to reveal anti-chronic myocardial ischemia mechanism of Gualou Xiebai decoction.

ETHNOPHARMACOLOGICAL RELEVANCE: Gualou Xiebai decoction (GLXB), a well-known classic traditional Chinese medicine formula, is a recorded and proven therapy for the management of cardiac diseases. However, its pharmacological characteristics and mechanism of action are unclear. MATERIALS AND METHODS: The effects of GLXB and its mechanism of action in an isoprenaline-induced rat model of chronic myocardial ischemia (CMI) were investigated by incorporating metabonomics and transcriptomics. Meanwhile, the echocardiographic evaluation, histopathological analysis, serum biochemistry assay, TUNEL assay and western blot analysis were detected to revealed the protective effects of GLXB on CMI. RESULTS: The results of echocardiographic evaluation, histopathological analysis and serum biochemistry assay revealed that GLXB had a significantly cardioprotective performance by reversing echocardiographic abnormalities, restoring pathological disorders and converting the serum biochemistry perturbations. Further, the omics analysis indicated that many genes and metabolites were regulated after modeling and GLXB administration, and maintained the marked "high-low" or "low-high" trends. Meanwhile, the results from integrated bioinformatics analysis suggested that the interaction network mainly consisted of amino acid and organic acid metabolism. The results of TUNEL assay and western blot analysis complemented the findings of integrated analysis of metabolomics and transcriptomics. CONCLUSION: These findings suggested that GLXB has a curative effect in isoproterenol-induced CMI in rats. Integrated analysis based on transcriptomics and metabolomics studies revealed that the mechanism of GLXB in alleviating CMI was principally by the regulation of energy homeostasis and apoptosis, which was through a multi-component and multi-target treatment modality.

Mechanism of Shiliu Buxue Syrup for anemia using integrated metabolomics and network pharmacology.

For many years, Shiliu Buxue Syrup (SLBXS) has been used in the treatment of anemia in Xinjiang, China. However, the potential therapeutic mechanism of SLBXS in the treatment of anemia remains unclear. We qualitatively analyzed the ingredients of SLBXS and predicted the underlying mechanisms by network pharmacology. A mice model of anemia was established by subcutaneous injection of 1-Acetyl-2-phenylhydrazine (APH). Spleen metabolomics was performed to screen potential biomarkers and pathways related to anemia. Furthermore, core targets of crucial pathways were experimentally validated. Finally, molecular docking was used for predicting interactions between compositions and targets. Network pharmacology indicated that the 230 SLBXS ingredients may affect 141 target proteins to regulate the PI3K/AKT and HIF-1 signaling pathways. Metabolomics revealed that SLBXS could mediate 30 biomarkers, such as phosphoric acid, l-pyroglutamic acid, alpha-Tocopherol, 1-stearoyl-rac-glycerol, and dihydroxyacetone phosphate, to regulate drug metabolism-other enzymes, glutathione metabolism, glycolysis or gluconeogenesis, nicotinate and nicotinamide metabolism, nitrogen metabolism, and purine metabolism. Western blot indicated that SLBXS can regulate the protein expression levels of AKT1, Bcl2, Caspase3, HIF-1α, VEGF-A, and NOS2. The molecular docking revealed that most of the compositions had a good binding ability to the core targets. Based on these findings, we speculate that SLBXS treats anemia mainly by modulating the PI3K/AKT and HIF-1 pathways and glutathione and glycolytic metabolisms.

Anti-Alzheimer's disease active components screened out and identified from Hedyotis diffusa combining bioaffinity ultrafiltration LC-MS with acetylcholinesterase.

ETHNOPHARMACOLOGICAL RELEVANCE: Hedyotis diffusa is a traditional ethnomedicinal plant in local communities in northeastern Asia and used to treat inflammation, nervous breakdown, among others. In recent years, it has been applied in the treatment of Alzheimer's disease (AD), while the specific chemical components responsible for the activity remain need to be explored. AIM OF THE STUDY: To prepare, screen and identify the potential anti-AD active components from Hedyotis diffusa. MATERIALS AND METHODS: The acetylcholinesterase (AChE) inhibitory activity of four different extracts of Hedyotis diffusa were initially assessed using a spectrophotometric Ellman's method. A more accurate LC-MS/MS screening method combining functional enzyme assay and affinity ultrafiltration (AU) screening assay was developed and applied for the screening of natural compound inhibitors of AChE from Hedyotis diffusa. The binding mode was further investigated between protein and ligands via molecular docking. Subsequently, CL4176, a transgenic nematode model for AD, was used for activity validation of one of these components. RESULTS: N-butanol extract of Hedyotis diffusa (NHD) appeared significant inhibitory activities on AChE, were chosen to delve deeper. Five bioactive components targeting AChE were screened out and identified using AU coupled to liquid chromatography-mass spectrometry. Molecular docking technique further confirmed the results of the screening assay. Finally, quercetin-3-O-sophoroside (QS) was confirmed as a potent anti-AD agent by in vivo experiments in C. elegans. CONCLUSION: This study explores a new idea for screening anti-AD active components from traditional medicine. The findings provide a molecular structure and bioactivity basis for future potential applications of Hedyotis diffusa in medical industries.

Research Advances in Lotus Leaf as Chinese Dietary Herbal Medicine.

Lotus leaf (Heye), the dry foliage of Nelumbo nucifera Gaertn, has been valuable as a dietary herbal medicine for thousands of years. Phytochemical studies indicated that alkaloids and flavonoids are the main components of Heye. Polysaccharides, terpenes, and amino acids are also active ingredients. The drug properties of Heye are mild and bitter. Meridian tropism is mainly distributed in the liver, spleen, and stomach meridian. In the Traditional Chinese medicine (TCM) theoretical system, it is in many formulas for the therapy of various symptoms, including wasting-thirst induced by summer heat, diarrhea caused by summer heat-dampness and spleen deficiency, hematochezia, flooding and spotting, among others. Nowadays, the extracts and active components of Heye demonstrate multiple bioactivities, for instance anti-obesity, anti-inflammatory, anti-oxidant, cardiovascular protective, anticancer, hepatoprotective, hypoglycemic, antiviral, antimicrobial, as well as hemostatic activities. This review will provide an overview of Heye serving as a typical plant with functions of both medicine and food, including its practical applications in terms of TCM and healthy diet, phytochemistry, pharmacological activity, together with its toxicity. Besides, the new points and prospects of Heye in the overview are also outlined straightforwardly.

Determining the protective effects of Ma-Mu-Ran Antidiarrheal Capsules against acute DSS-induced enteritis using 16S rRNA gene sequencing and fecal metabolomics.

Ma-Mu-Ran Antidiarrheal Capsules (MMRAC) is traditional Chinese medicine that has been used to treat diarrhea caused by acute enteritis (AE) and bacillary dysentery in Xinjiang (China) for many years. However, the potential therapeutic mechanism of MMRAC for AE and its regulatory mechanism on host metabolism is unclear. This study used fecal metabolomics profiling with GC/MS and 16S rRNA gene sequencing analysis to explore the potential regulatory mechanisms of MMRAC on a dextran sulfate sodium salt (DSS)-induced mouse model of AE. Fecal metabolomics-based analyses were performed to detect the differentially expressed metabolites and metabolic pathways. The 16S rRNA gene sequencing analysis was used to assess the altered gut microbes at the genus level and for functional prediction. Moreover, Pearson correlation analysis was used to integrate differentially expressed metabolites and altered bacterial genera. The results revealed that six intestinal bacteria and seven metabolites mediated metabolic disorders (i.e., metabolism of amino acid, carbohydrate, cofactors and vitamins, and lipid) in AE mice. Besides, ten altered microbes mediated the differential expression of eight metabolites and regulated these metabolisms after MMRAC administration. Overall, these findings demonstrate that AE is associated with metabolic disorders and microbial dysbiosis. Further, we present that MMRAC exerts protective effects against AE by improving host metabolism through the intestinal flora.

Exploring the Formation Mechanism of Coamorphous Andrographolide-Oxymatrine Based on Molecular Dynamics and Spectroscopy.

Coamorphous drug delivery systems have shown great potential in improving the solubility and bioavailability of poorly water-soluble drugs. However, the coamorphous formation mechanism remains unclear. In this study, coamorphous andrographolide (AP) - oxymatrine (OMT) was successfully prepared by solvent evaporation and characterized by PXRD and DSC. The potential groups of intermolecular interactions in coamorphous binary systems were predicted by the molecular electrostatic potential (ESP) in the density functional theory (DFT) and the HOMO and LUMO in the molecular frontier orbitals, which had been confirmed by FTIR, FT-NIR, and Raman spectroscopy. Molecular dynamics (MD) was used to explore the mechanism of coamorphous formation. The results of the solvent-state radial distribution function (RDF) showed that the hydrogen bonds between AP and OMT molecules were irregular and intermittent in the solvent system of AP-OMT-methanol (MeOH) until MeOH was completely volatilized to form a stable coamorphous AP-OMT system, which has been preliminarily verified by solvent-state FT-NIR and solvent-state Raman spectroscopy. In addition, the solubility of coamorphous AP-OMT was significantly higher than that of crystalline AP. The results of intrinsic dissolution experiments showed that the intrinsic dissolution rate (IDR) of coamorphous AP-OMT was 2.5 times that of crystalline AP, although recrystallization occurred during dissolution. In conclusion, the results of the experimental solvent-state RDF, solvent-state FT-NIR, and solvent-state Raman spectroscopy can be used to better understand the coamorphous formation process and to guide the preparation of coamorphous AP-OMT.

Study on the molecular mechanism of anti-liver cancer effect of Evodiae fructus by network pharmacology and QSAR model.

Introduction: Evodiae Fructus (EF) is the dried, near ripe fruit of Euodia rutaecarpa (Juss.) Benth in Rutaceae. Numerous studies have demonstrated its anti-liver cancer properties. However, the molecular mechanism of Evodiae fructus against liver cancer and its structure-activity connection still require clarification. Methods: We utilized network pharmacology and a QSAR (2- and 3-dimensional) model to study the anti-liver cancer effect of Evodiae fructus. First, by using network pharmacology to screen the active substances and targets of Evodiae fructus, we investigated the signaling pathways involved in the anti-liver cancer actions of Evodiae fructus. The 2D-QSAR pharmacophore model was then used to predict the pIC50 values of compounds. The hiphop method was used to create an ideal 3D-QSAR pharmacophore model for the prediction of Evodiae fructus compounds. Finally, molecular docking was used to validate the rationality of the pharmacophore, and molecular dynamics was used to disclose the stability of the compounds by assessing the trajectories in 10 ns using RMSD, RMSF, Rg, and hydrogen bonding metrics. Results: In total, 27 compounds were acquired from the TCMSP and TCM-ID databases, and 45 intersection targets were compiled using Venn diagrams. Network integration analysis was used in this study to identify SRC as a primary target. Key pathways were discovered by KEGG pathway analysis, including PD-L1 expression and PD-1 checkpoint pathway, EGFR tyrosine kinase inhibitor resistance, and ErbB signaling pathway. Using a 2D-QSAR pharmacophore model and the MLR approach to predict chemical activity, ten highly active compounds were found. Two hydrophobic features and one hydrogen bond acceptor feature in the 3D-QSAR pharmacophore model were validated by training set chemicals. The results of molecular docking revealed that 10 active compounds had better docking scores with SRC and were linked to residues via hydrogen and hydrophobic bonds. Molecular dynamics was used to show the structural stability of obacunone, beta-sitosterol, and sitosterol. Conclusion:Pharmacophore 01 has high selectivity and the ability to distinguish active and inactive compounds, which is the optimal model for this study. Obacunone has the optimal binding ability with SRC. The pharmacophore model proposed in this study provides theoretical support for further screening effective anti-cancer Chinese herbal compounds and optimizing the compound structure.

Conv-Former: A Novel Network Combining Convolution and Self-Attention for Image Quality Assessment.

To address the challenge of no-reference image quality assessment (NR-IQA) for authentically and synthetically distorted images, we propose a novel network called the Combining Convolution and Self-Attention for Image Quality Assessment network (Conv-Former). Our model uses a multi-stage transformer architecture similar to that of ResNet-50 to represent appropriate perceptual mechanisms in image quality assessment (IQA) to build an accurate IQA model. We employ adaptive learnable position embedding to handle images with arbitrary resolution. We propose a new transformer block (TB) by taking advantage of transformers to capture long-range dependencies, and of local information perception (LIP) to model local features for enhanced representation learning. The module increases the model's understanding of the image content. Dual path pooling (DPP) is used to keep more contextual image quality information in feature downsampling. Experimental results verify that Conv-Former not only outperforms the state-of-the-art methods on authentic image databases, but also achieves competing performances on synthetic image databases which demonstrate the strong fitting performance and generalization capability of our proposed model.

Integrated Metabolomics and Network Pharmacology to Establish the Action Mechanism of Qingrekasen Granule for Treating Nephrotic Syndrome.

Nephrotic syndrome (NS) is a clinical syndrome resulting from abnormal glomerular permeability, mainly manifesting as edema and proteinuria. Qingrekasen granule (QRKSG), a Chinese Uyghur folk medicine, is a single-flavor preparation made from chicory (Cichorium intybus L.), widely used in treating dysuria and edema. Chicory, the main component in QRKSG, effectively treats edema and protects kidneys. However, the active components in QRKSG and its underlying mechanism for treating NS remain unclear. This study explored the specific mechanism and composition of QRKSG on an NS rat model using integrated metabolomics and network pharmacology. First, metabolomics explored the relevant metabolic pathways impacted by QRKSG in the treatment of NS. Secondly, network pharmacology further explored the possible metabolite targets. Afterward, a comprehensive network was constructed using the results from the network pharmacology and metabolomics analysis. Finally, the interactions between the active components and targets were predicted by molecular docking, and the differential expression levels of the target protein were verified by Western blotting. The metabolomics results showed "D-Glutamine and D-glutamate metabolism" and "Alanine, aspartate, and glutamate metabolism" as the main targeted metabolic pathways for treating NS in rats. AKT1, BCL2L1, CASP3, and MTOR were the core QRKSG targets in the treatment of NS. Molecular docking revealed that these core targets have a strong affinity for flavonoids, terpenoids, and phenolic acids. Moreover, the expression levels of p-PI3K, p-AKT1, p-mTOR, and CASP3 in the QRKSG group significantly decreased, while BCL2L1 increased compared to the model group. These findings established the underlying mechanism of QRKSG, such as promoting autophagy and anti-apoptosis through the expression of AKT1, CASP3, BCL2L1, and mTOR to protect podocytes and maintain renal tubular function.

Cyclin D1b induces changes in the macrophage phenotype resulting in promotion of tumor metastasis.

In breast cancer, tumor-associated macrophages with activated phenotypes promote tumor invasion and metastasis. The more aggressive mesenchymal-like breast cancer cells have a selective advantage, skewing macrophages toward the more immunosuppressive subtype. However, the mechanism underlying this shift is poorly understood. Cyclin D1b is a highly oncogenic variant of cyclin D1. Our previous study showed that non-metastatic epithelial-like breast cancer cells were highly metastatic in vivo when cyclin D1b was overexpressed. The present study determined whether cyclin D1b contributed to the interaction between breast cancer cells and macrophages. The results showed that cyclin D1b promoted the invasion of breast cancer cells in vitro. Specifically, through overexpression of cyclin D1b, breast cancer cells regulated the differentiation of macrophages into a more immunosuppressive M2 phenotype. Notably, tumor cells overexpressing cyclin D1b activated macrophages and induced migration of breast cancer cells. Further investigations indicated that SDF-1 mediated macrophage activation through breast cancer cells overexpressing cyclin D1b. These results revealed a previously unknown link between aggressive breast cancer cells and Tumor-associated macrophages, and highlighted the importance of cyclin D1b activity in the breast cancer microenvironment.

Molecular Mechanism of Xixin-Ganjiang Herb Pair Treating Chronic Obstructive Pulmonary Disease-Integrated Network Pharmacology and Molecular Docking.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is characterized by high morbidity, disability, and mortality, which seriously threatens human life and health. Xixin and Ganjiang are classic herb pairs of Zhongjing Zhang, which are often used to treat COPD in China. However, the substance basis and mechanism of action of Xixin-Ganjiang herb pair (XGHP) in the treatment of COPD remain unclear. METHODS: On the website of TCMSP and the DrugBank, effective compounds and targets of XGHP were found. COPD targets were obtained from GeneCards, DisGeNET, and GEO gene chips. Intersecting these databases resulted in a library of drug targets for COPD. Then, intersection targets were used for protein-protein interaction (PPI) and pathway enrichment analysis. Finally, the binding activity between compounds and core genes was evaluated by molecular docking to verify the expression level of PTGS2 and PPARG in rats. RESULTS: Twelve effective compounds and 104 core genes were found in the intersection library, and kaempferol, sesamin, ß-sitosterol, PTGS2, and PPARG were particularly prominent in the network analysis. A total of 113 pathways were obtained and enrichment of the TNF signaling pathway, IL-17 signaling pathway, and C-type lectin receptor signaling pathway was particularly obvious. Molecular docking indicated that kaempferol, sesamin, and ß-sitosterol were closely related to PTGS2 and PPARG and were superior to aminophylline. Key compounds in XGHP could restrict the expression of PTGS2 in the lung tissues of COPD rats and promote the expression of PPARG. CONCLUSION: Inhibition of the expression of inflammatory factor PTGS2 and promotion of the expression of PPARG may be an effective target of XGHP in the treatment of COPD.

Integrative transcriptomics and metabolomics analyses provide hepatotoxicity mechanisms of asarum.

Asarum is frequently applied in combination with other agents for prescriptions in practices of Traditional Chinese Medicine. A number of studies have previously indicated that asarum treatment induces lung toxicity by triggering inflammation. However, the potential effects of asarum in the liver and the underlying mechanisms have remained largely elusive. Therefore, transcriptomics and metabolomics approaches were used in the present study to examine the mechanisms of the hepatotoxicity of asarum. Specifically, mRNA and metabolites were obtained from rat liver samples following intragastric administration of asarum powder. RNA sequencing analysis was subsequently performed to screen for differentially expressed genes (DEGs), and a total of 434 DEGs were identified in liver tissue samples, 214 of which were upregulated and 220 were downregulated. Pathway enrichment analysis found that these genes were particularly enriched in processes including the regulation of p53 signaling, metabolic pathways and bile secretion. To investigate potential changes to the metabolic profile as a result of asarum treatment, a metabolomics analysis was performed, which detected 14 significantly altered metabolites in rat liver samples by gas chromatography-mass spectrometry. These metabolites were predominantly members of the taurine, hypotaurine and amino acid metabolic pathways. Metscape network analyses were subsequently performed to integrate the transcriptomics and metabolomics data. Integrative analyis revealed that the DEGs and metabolites were primarily associated with bile acid biosynthesis, amino acid metabolism and the p53 signaling pathway. Taken together, these results provide novel insight into the mechanism of asarum-mediated hepatotoxicity, which may potentially aid the clinical diagnosis and future therapeutic intervention of asarum poisoning.

Fuling-Guizhi Herb Pair in Coronary Heart Disease: Integrating Network Pharmacology and In Vivo Pharmacological Evaluation.

The Fuling (Poria cocos)-Guizhi (Cinnamomi ramulus) herb pair (FGHP) is a commonly used traditional Chinese herbal formula with coronary heart disease (CHD) treatment potential. However, the mechanism of FGHP in the treatment of CHD was still unclear. In this study, the action targets and underlying mechanism of FGHP against CHD were successfully achieved by combined network pharmacology prediction with experimental verification. 76 common targets were screened out by overlapping the chemical-protein data of FGHP and CHD-related targets. Then, two key targets were further selected for verification by using western blot analysis after analyzing PPI, GO function, and KEGG pathway. Results indicated FGHP could alleviate CHD syndromes and regulate inflammatory responses in acute myocardial ischemia rats, and the reduction of expression of TNF-α and IL-6 in myocardial tissue would be one of its possible underlying mechanisms. Our work demonstrated that network pharmacology combined with experimental verification provides a credible method to elucidate the pharmacological mechanism of FGHP against CHD.

MicroRNA-96 is a potential tumor repressor by inhibiting NPTX2 in renal cell carcinoma.

MicroRNA-96 (miR-96) is a vertebrate conserved microRNA which plays important roles in various cancers including renal cell carcinoma (RCC). However, its function and mechanism in RCC are still unclear. In this study, miR-96 was found to be downregulated in RCC based on The Cancer Genome Atlas datasets analyses, and its target genes, which predicted by TargetScan, were investigated. Among these target genes, neuronal pentraxin 2 (NPTX2) was upregulated more than 15-fold in RCC, and moreover, closely related to patient survival. To validate its targeting of NPTX2 experimentally, reverse transcription polymerase chain reaction, Western blot analysis, and dual-luciferase assays were performed, and results of these assays demonstrated that miR-96 inhibited expression of NPTX2 through a single 3'-untranslated region targeting site. Furthermore, transfection assays in RenCa and 786-O cells showed miR-96 and small interfering RNA of NPTX2 inhibited cell proliferation, migration, and invasion and overexpression of NPTX2 recovered the inhibition of miR-96. In conclusion, the present study reveals a novel regulatory mechanism of miR-96 on NPTX2 expression in RCC, and the potential of miR-96 as a RCC tumor repressor deserves further investigation.

Triterpenoid Saponins from Anemone flaccida Suppress Tumor Cell Proliferation by Regulating MAPK, PD1/PDL1, and STAT3 Signaling Pathways and Altering Cancer Metabolism.

PURPOSE: Natural triterpenoid saponins isolated from Anemone flaccida Fr. Schmidt have exhibited anti-cancer properties and exerted remarkable inhibitory effects on tumor growth. Herein, we investigated the potential mechanism involved in the suppression of hepatocellular carcinoma (HCC) development by triterpenoid saponins in a mouse model. METHODS: An HCC model was established in H22 tumor-bearing mice and triterpenoid saponins were administered at various doses. Immunofluorescence, flow cytometry, and western blot were performed to analyze the effect of triterpenoid saponins on immune response in tumor tissues. Metabolomic analysis was carried out to assess the metabolites involved in mediating the effect of triterpenoid saponins on tumor tissues. RESULTS: Triterpenoid saponins induced anti-tumor immune response by decreasing the number of Treg cells, increasing that of B cells, natural killer cells, and CD3+/CD28+ T cells, and reducing the secretion of inflammatory factors including nuclear factor-κB, cyclooxygenase-2, and microsomal prostaglandin E synthase-1. In addition, triterpenoid saponins inhibited tumor growth and induced the apoptosis of HCC cells by blocking the activation of PD1/PD-L1, ERK1/2, p38 MAPK, JNK, and STAT3 signaling pathways. Furthermore, triterpenoid saponins regulated tumor immune response by upregulating a number of metabolites (including 1,3-diaminopropane, lauric acid, 2,4-diaminobutyric acid 2, and ribitol) and modulating the metabolism of histidine, arginine, proline, beta-alanine, glycine, serine, and threonine. CONCLUSION: The findings suggested that triterpenoid saponins interfered with multiple signaling cascades involved in tumorigenesis and tumor metabolism and have potential applications in HCC therapy.