Exploring the Mechanism of Zilongjin in Treating Lung Adenocarcinoma Based on Network Pharmacology Combined with Experimental Verification.

Zilongjin (ZLJ) is a common traditional Chinese medicine for lung adenocarcinoma (LUAD) treatment. However, its mechanisms of action remain to be elucidated. Network pharmacology was used to explore the underlying mechanisms of ZLJ on LUAD treatment. The disease-related targets were determined from the Gene-Cards and DisGeNET databases. Active compounds and targets of ZLJ were obtained from the HIT, TCMSP, and TCMID databases. Then the protein-protein interaction (PPI) network was built by the STRING database to identify core-hub targets of ZLJ in LUAD. Next, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were employed to analyze the enriched regulatory pathways of targets. Molecular docking analysis was used to evaluate interactions between potential targets and active compounds. Finally, qRT-PCR was used to further verify the results of network pharmacology. A total of 124 LUAD-related targets of ZLJ and 5 active compounds of ZLJ from the relevant databases were screened out. Among these target proteins, JUN, CDH1, PPARG, and FOS were core hub-genes in the PPI network. GO and KEGG pathway enrichment analysis indicated that these targets might regulate the PPAR signaling pathway in LUAD. JUN, PPARG, and FOS levels were upregulated, while CDH1 level was downregulated in LUAD cells. This study discerned that ZLJ may target genes such as JUN, FOS, PPARG, and CDH1 via the PPAR signaling pathway in LUAD, offering foundational insights for further exploration of ZLJ in clinical applications.

Mulberry Leaf Compounds and Gut Microbiota in Alzheimer's Disease and Diabetes: A Study Using Network Pharmacology, Molecular Dynamics Simulation, and Cellular Assays.

Recently, studies have reported a correlation that individuals with diabetes show an increased risk of developing Alzheimer's disease (AD). Mulberry leaves, serving as both a traditional medicinal herb and a food source, exhibit significant hypoglycemic and antioxidative properties. The flavonoid compounds in mulberry leaf offer therapeutic effects for relieving diabetic symptoms and providing neuroprotection. However, the mechanisms of this effect have not been fully elucidated. This investigation aimed to investigate the combined effects of specific mulberry leaf flavonoids (kaempferol, quercetin, rhamnocitrin, tetramethoxyluteolin, and norartocarpetin) on both type 2 diabetes mellitus (T2DM) and AD. Additionally, the role of the gut microbiota in these two diseases' treatment was studied. Using network pharmacology, we investigated the potential mechanisms of flavonoids in mulberry leaves, combined with gut microbiota, in combating AD and T2DM. In addition, we identified protein tyrosine phosphatase 1B (PTP1B) as a key target for kaempferol in these two diseases. Molecular docking and molecular dynamics simulations showed that kaempferol has the potential to inhibit PTP1B for indirect treatment of AD, which was proven by measuring the IC50 of kaempferol (279.23 µM). The cell experiment also confirmed the dose-dependent effect of kaempferol on the phosphorylation of total cellular protein in HepG2 cells. This research supports the concept of food-medicine homology and broadens the range of medical treatments for diabetes and AD, highlighting the prospect of integrating traditional herbal remedies with modern medical research.

Active substance and mechanisms of Actinidia chinensis Planch for the treatment of breast cancer was explored based on network pharmacology and in silico study.

In this paper, our objective was to investigate the potential mechanisms of Actinidia chinensis Planch (ACP) for breast cancer treatment with the application of network pharmacology, molecular docking, and molecular dynamics. "Mihoutaogen" was used as a key word to query the Traditional Chinese Medicine Systems Pharmacology database for putative ingredients of ACP and its related targets. DrugBank, GeneCards, Online Mendelian Inheritance in Man, and therapeutic target databases were used to search for genes associated with "breast cancer." Using Cytoscape 3.9.0 we then constructed the protein-protein interaction and drug-ingredient-target-disease networks. An enrichment analysis of Kyoto encyclopedia of genes and genomes pathway and gene ontology were performed to exploration of the signaling pathways associated with ACP for breast cancer treatment. Discovery Studio software was applied to molecular docking. Finally, the ligand-receptor complex was subjected to a 50-ns molecular dynamics simulation using the Desmond_2020.4 tools. Six main active ingredients and 176 targets of ACP and 2243 targets of breast cancer were screened. There were 118 intersections of targets for both active ingredients and diseases. Tumor protein P53 (TP53), AKT serine/threonine kinase 1 (AKT1), estrogen receptor 1 (ESR1), Erb-B2 receptor tyrosine kinase 2 (ERBB2), epidermal growth factor receptor (EGFR), Jun Proto-Oncogene (JUN), and Heat Shock Protein 90 Alpha Family Class A Member 1 (HSP90AA1) selected as the most important genes were used for verification by molecular docking and molecular dynamics simulation. The primary active compounds of ACP against breast cancer were predicted preliminarily, and its mechanism was studied, thereby providing a theoretical basis for future clinical studies.

Exploring Acori Tatarinowii Rhizoma and Polygalae Radix in Alzheimer's: Network pharmacology and molecular docking analysis.

Explore Acori Tatarinowii Rhizoma (ATR) and Polygalae Radix (PR) mechanisms in Alzheimer's disease (AD) treatment through network pharmacology. ATR-PR was investigated in the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database, Batman, and Traditional Chinese Medicines Integrated Database (TCMID) to gather information on its chemical components and target proteins. Target genes associated with AD were retrieved from the GeneCards and National Center for Biotechnology Information (NCBI) databases. The integration of these datasets with potential targets facilitated the construction of an AD and ATR-PR protein-protein interaction (PPI) network using the STRING database. The resulting network identified the core active ingredients and main targets of ATR-PR in AD treatment. Cluster analysis of the PPI network was performed using Cytoscape 3.7.1. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted using the Metascape database. Molecular docking simulations revealed potential interactions between the main active ingredients and core targets. Our analysis identified 8 putative components and 455 targets of ATR-PR. We systematically searched for 1306 genes associated with AD, conducted Venn diagram analysis resulting in 156 common targets, and constructed a PPI network with 57 key targets. GO functional analysis highlighted the primary biological processes associated with oxidative stress. KEGG pathway enrichment analysis revealed the involvement of 64 signaling pathways, with the PI3K/Akt signaling pathway playing a key role. Molecular docking analysis indicated a high affinity between the potential targets of ATR-PR and the main compounds of AD. This study sheds light on the complex network of interactions involving ATR-PR in the context of AD. The identified targets, pathways, and interactions provide a foundation for understanding the potential therapeutic mechanisms. The involvement of oxidative stress-related processes and the crucial role of the PI3K/Akt signaling pathway suggest avenues for targeted therapeutic interventions in Alzheimer's disease treatment. Our proposition of the combined use of ATR-PR has emerged as a potential treatment strategy for AD, supported by a network pharmacology approach. This framework provides a robust foundation for future clinical applications and experimental research in the pursuit of effective Alzheimer's disease treatments.

[Mechanism of Guizhi Gancao Decoction against myocardial ischemia-reperfusion injury based on network pharmacology and experimental verification].

This study employed network pharmacology to investigate the effect of Guizhi Gancao Decoction(GGD) on myocardial ischemia-reperfusion injury(MI/RI) in rats and decipher the underlying mechanism. Firstly, the chemical components and targets of GGD against MI/RI were searched against the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP), SwissTargetPrediction, and available articles. STRING and Cytoscape 3.7.2 were used to establish the protein-protein interaction(PPI) network for the common targets, and then Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses were carried out for the core targets. The "drug-active component-target-pathway" network was built. Furthermore, molecular docking between key active components and targets was conducted in AutoDock Vina. Finally, the rat model of MI/RI was established, and the myocardial infarction area was measured. Hematoxylin-eosin(HE) staining and transmission electron microscopy(TEM) were employed to detect cardiomyocyte pathology and ultrastructural changes. Western blot was employed to determine the expression of related proteins in the myocardial tissue. A total of 75 chemical components of GGD were screened out, corresponding to 318 targets. The PPI network revealed 46 core targets such as tumor protein p53(TP53), serine/threonine kinase 1(AKT1), signal transducer and activator of transcription 3(STAT3), non-receptor tyrosine kinase(SRC), mitogen-activated protein kinase 1(MAPK1), MAPK3, and tumor necrosis factor(TNF). According to GO and KEGG enrichment analyses, the core targets mainly affected the cell proliferation and migration, signal transduction, apoptosis, and transcription, involving advanced glycation end products-receptor(AGE-RAGE), MAPK and other signaling pathways in cancers and diabetes complications. The molecular docking results showed that the core components of GGD, such as licochalcone A,(+)-catechin, and cinnamaldehyde, had strong binding activities with the core target proteins, such as MAPK1 and MAPK3. The results of animal experiments showed that compared with the model group, GGD significantly increase superoxide dismutase, decreased malondialdehyde, lactate dehydrogenase, and creatine kinase-MB, and reduced the area of myocardial infarction. HE staining and TEM results showed that GGD pretreatment restored the structure of cardiomyocytes and alleviated the pathological changes and ultrastructural damage of mitochondria in the model group. In addition, GGD significantly down-regulated the phosphorylation of c-Jun N-terminal kinase and p38 and up-regulate that of extracellular regulated kinases 1/2 in the myocardial tissue. The results suggested that GGD may exert the anti-MI/RI effect by regulating the MAPK signaling pathway via the synergistic effects of Cinnamomi Ramulus and Glycyrrhizae Radix et Rhizoma.

[Study on chemical components of Hypericum himalaicum and mechanism of anti-inflammatory based on network pharmacology and molecular docking technology].

The chemical constituents of ethyl acetate from Hypericum himalaicum were isolated by silica gel column chromatography, gel column chromatography, and high-performance liquid chromatography. The structure of the isolated compounds was identified by modern spectral techniques(NMR, MS, IR, and UV), and the potential anti-inflammatory targets and action pathways were analyzed and predicted by network pharmacology and molecular docking methods.Ten compounds were isolated from H. himalaicum and identified as 5,9,11-trihydroxy-3,3-dimethyl-3H,8H-benzo[6,7][1,4]dioxepino[2,3-f]chromen-8-one(1), betulinic acid(2), demethyltorosaflavone C(3), kaempferol(4), quercetin(5), hyperwightin B(6), toxyloxanthone B(7), 1,7-dihydroxy-xanthone(8), emodin(9), and 1,7-dihydroxy-4-methoxy-xanthone(10). Among them, compound 1 was a new compound, and compounds 2-10 were isolated from H. himalaicum for the first time. Network pharmacology screened 60 key anti-inflammatory targets. By acting on TNF, AKT1, CASP3, and other key targets, involving PI3K-AKT signaling pathway, IL-17 signaling pathway, VEGF signaling pathway, MAPK signaling pathway, and other signaling pathways, and phosphorylation, cell migration and movement, protein tyrosine kinase, and other biological processes were regulated to achieve anti-inflammatory effects. The results of molecular docking show that the above components have good binding properties with the core targets.

[Mechanism of astragaloside â £ combined with Panax notoginseng saponins in regulating angiogenesis to treat cerebral ischemia based on network pharmacology and experimental verification].

Network pharmacology and animal and cell experiments were employed to explore the mechanism of astragaloside Ⅳ(AST Ⅳ) combined with Panax notoginseng saponins(PNS) in regulating angiogenesis to treat cerebral ischemia. The method of network pharmacology was used to predict the possible mechanisms of AST Ⅳ and PNS in treating cerebral ischemia by mediating angiogenesis. In vivo experiment: SD rats were randomized into sham, model, and AST Ⅳ(10 mg·kg~(-1)) + PNS(25 mg·kg~(-1)) groups, and the model of cerebral ischemia was established with middle cerebral artery occlusion(MCAO) method. AST Ⅳ and PNS were administered by gavage twice a day. the Longa method was employed to measure the neurological deficits. The brain tissue was stained with hematoxylin-eosin(HE) to reveal the pathological damage. Immunohistochemical assay was employed to measure the expression of von Willebrand factor(vWF), and immunofluorescence assay to measure the expression of vascular endothelial growth factor A(VEGFA). Western blot was employed to determine the protein levels of vascular endothelial growth factor receptor 2(VEGFR2), VEGFA, phosphorylated phosphatidylinositol 3-kinase(p-PI3K), and phosphorylated protein kinase B(p-AKT) in the brain tissue. In vitro experiment: the primary generation of rat brain microvascular endothelial cells(rBEMCs) was cultured and identified. The third-generation rBMECs were assigned into control, model, AST Ⅳ(50 µmol·L~(-1)) + PNS(30 µmol·L~(-1)), LY294002(PI3K/AKT signaling pathway inhibitor), 740Y-P(PI3K/AKT signaling pathway agonist), AST Ⅳ + PNS + LY294002, and AST Ⅳ + PNS + 740Y-P groups. Oxygen glucose deprivation/re-oxygenation(OGD/R) was employed to establish the cell model of cerebral ischemia-reperfusion injury. The cell counting kit-8(CCK-8) and scratch assay were employed to examine the survival and migration of rBEMCs, respectively. Matrigel was used to evaluate the tube formation from rBEMCs. The Transwell assay was employed to examine endothelial cell permeability. Western blot was employed to determine the expression of VEGFR2, VEGFA, p-PI3K, and p-AKT in rBEMCs. The results of network pharmacology analysis showed that AST Ⅳ and PNS regulated 21 targets including VEGFA and AKT1 of angiogenesis in cerebral infarction. Most of these 21 targets were involved in the PI3K/AKT signaling pathway. The in vivo experiments showed that compared with the model group, AST Ⅳ + PNS reduced the neurological deficit score(P<0.05) and the cell damage rate in the brain tissue(P<0.05), promoted the expression of vWF and VEGFA(P<0.01) and angiogenesis, and up-regulated the expression of proteins in the PI3K/AKT pathway(P<0.05, P<0.01). The in vitro experiments showed that compared with the model group, the AST Ⅳ + PNS, 740Y-P, AST Ⅳ + PNS + LY294002, and AST Ⅳ + PNS + 740Y-P improved the survival of rBEMCs after OGD/R, enhanced the migration of rBEMCs, increased the tubes formed by rBEMCs, up-regulated the expression of proteins in the PI3K/AKT pathway, and reduced endothelial cell permeability(P<0.05, P<0.01). Compared with the LY294002 group, the AST Ⅳ + PNS + LY294002 group showed increased survival rate, migration rate, and number of tubes, up-regulated expression of proteins in the PI3K/AKT pathway, and decreased endothelial cell permeability(P<0.05,P<0.01). Compared with the AST Ⅳ + PNS and 740Y-P groups, the AST Ⅳ + PNS + 740Y-P group presented increased survival rate, migration rate, and number of tubes and up-regulated expression of proteins in the PI3K/AKT pathway, and reduced endothelial cell permeability(P<0.01). This study indicates that AST Ⅳ and PNS can promote angiogenesis after cerebral ischemia by activating the PI3K/AKT signaling pathway.

Huanglian-Hongqu herb pair improves nonalcoholic fatty liver disease via NF-κB/NLRP3 pathway in mice: network pharmacology, molecular docking and experimental validation.

The Huanglian-Hongqu herb pair (HH) is a carefully crafted traditional Chinese herbal compound designed to address disorders related to glucose and lipid metabolism. Its primary application lies in treating hyperlipidemia and fatty liver conditions. This study explored the potential mechanism of HH in treating non-alcoholic fatty liver disease (NAFLD) through network pharmacology, molecular docking, and in vivo animal experiments. Ultrahigh performanceliquid chromatography-quadrupole/orbitrapmass spectrometry (UPLC-Q-TOF-MS) was employed to identify the chemical composition of HH. Network pharmacology was used to analyze the related signaling pathways affected by HH. Subsequently, the prediction was verified by animal experiment. Finally, we identified 29 components within HH. Network pharmacology unveiled interactions between HH and 153 NAFLD-related targets, highlighting HH's potential to alleviate NAFLD through NF-κB signaling pathway. Molecular docking analyses illuminated the binding interactions between HH components and key regulatory proteins, including NF-κB, NLRP3, ASC, and Caspase-1. In vivo experiments demonstrated that HH alleviated NAFLD by reducing serum and liver lipid levels, improving liver function, and lowering inflammatory cytokine levels in the serum. Moreover, HH administration downregulated mRNA and protein levels of the NF-κB/NLRP3 pathway. In conclusion, our findings demonstrated that HH has potential therapeutic benefits in ameliorating NAFLD by targeting the NF-κB/NLRP3 pathway, facilitating the broader application of HH in the field of NAFLD.

Quercetin alleviates hyperoxia-induced bronchopulmonary dysplasia by inhibiting ferroptosis through the MAPK/PTGS2 pathway: Insights from network pharmacology, molecular docking, and experimental evaluations.

Quercetin, a bioactive natural compound renowned for its potent anti-inflammatory, antioxidant, and antiviral properties, has exhibited therapeutic potential in various diseases. Given that bronchopulmonary dysplasia (BPD) development is closely linked to inflammation and oxidative stress, and quercetin, a robust antioxidant known to activate NRF2 and influence the ferroptosis pathway, offers promise for a wide range of age groups. Nonetheless, the specific role of quercetin in BPD remains largely unexplored. This study aims to uncover the target role of quercetin in BPD through a combination of network pharmacology, molecular docking, computer analyses, and experimental evaluations.

The Treatment of Tubal Inflammatory Infertility using Yinjia Tablets through EGFR/MEK/ERK Signaling Pathway based on Network Pharmacology.

Background: Salpingitis obstructive infertility (SOI) refers to infertility caused by abnormal conditions such as tubal adhesion and blockage caused by acute and chronic salpingitis. SOI has a serious impact on women's physical and mental health and family harmony, and it is a clinical problem that needs to be solved urgently.

Objective: The purpose of the present study was to explore the potential pharmacological mechanisms of the Yinjia tablets (Yin Jia Pian, YJP) on tubal inflammation.

Methods: Networks of YJP-associated targets and tubal inflammation-related genes were constructed through the STRING database. Potential targets and pathway enrichment analysis related to the therapeutic efficacy of YJP were identified using Cytoscape and Database for Annotation, Visualization, and Integrated Discovery (metascape). E. coli was used to establish a rat model of tubal inflammation and to validate the predictions of network pharmacology and the therapeutic efficacy of YJP. H&E staining was used to observe the pathological changes in fallopian tubes. TEM observation of the ultrastructure of the fallopian tubes. ELISA was used to detect the changes of IL-6 and TNF-α in fallopian tubes. Immunohistochemistry was used to detect the expression of ESR1. The changes of Bcl-2, ERK1/2, p-ERK1/2, MEK, p-MEK, EGFR, and p-EGFR were detected by western blot.

Results: Through database analysis, it was found that YJP shared 105 identical targets with the disease. Network pharmacology analysis showed that IL-6, TNF, and EGFR belong to the top 5 core proteins associated with salpingitis, and EGFR/MEK/ERK may be the main pathway involved. The E. coli-induced disease rat model of fallopian tube tissue showed damage, mitochondrial disruption, and increased levels of the inflammatory factors IL-6 and TNF-α. Tubal inflammatory infertility rats have increased expression of Bcl-2, p-ERK1/2, p-MEK, and p-EGFR, and decreased expression of ESR1. In vivo, experiments showed that YJP improved damage of tissue, inhibited shedding of tubal cilia, and suppressed the inflammatory response of the body. Furthermore, YJP inhibited EGFR/MEK/ERK signaling, inhibited the apoptotic protein Bcl-2, and upregulated ESR1.

Conclusion: This study revealed that YJP Reducing tubal inflammation and promoting tissue repair may be associated with inhibition of the EGFR/MEK/ERK signaling pathway.

Leveraging multi-omics data to empower quantitative systems pharmacology in immuno-oncology.

Understanding the intricate interactions of cancer cells with the tumor microenvironment (TME) is a pre-requisite for the optimization of immunotherapy. Mechanistic models such as quantitative systems pharmacology (QSP) provide insights into the TME dynamics and predict the efficacy of immunotherapy in virtual patient populations/digital twins but require vast amounts of multimodal data for parameterization. Large-scale datasets characterizing the TME are available due to recent advances in bioinformatics for multi-omics data. Here, we discuss the perspectives of leveraging omics-derived bioinformatics estimates to inform QSP models and circumvent the challenges of model calibration and validation in immuno-oncology.

[Jianpi Zishen granule inhibits podocyte autophagy in systemic lupus erythematosus: a network pharmacology and clinical study].

OBJECTIVE: To explore the therapeutic mechanism of Jianpi Zishen (JPZS) granules for systemic lupus erythematosus(SLE) in light of podocyte autophagy regulation. METHODS: TCMSP, GeneCards, OMIM, and TTD databases were used to obtain the targets of JPZS granules, SLE, and podocyte autophagy. The protein-protein interaction network was constructed using Cytoscape, and the key active ingredients and targets were screened for molecular docking. In the clinical study, 46 patients with SLE were randomized into two groups to receive baseline treatment with prednisone acetate and mycophenolate mofetil (control group) and additional treatment with JPZS granules (observation group) for 12 weeks, with 10 healthy volunteers as the healthy control group. Urinary levels of nephrin and synaptopodin of the patients were detected with ELISA. Western blotting was performed to determine peripheral blood levels of p-JAK1/JAK1, p-STAT1/STAT1, LC3II/LC3I, and p62 proteins of the participants. RESULTS: Four key active ingredients and 5 core target genes (STAT1, PIK3CG, MAPK1, PRKCA, and CJA1) were obtained, and enrichment analysis identified the potentially involved signaling pathways including AGE-RAGE, JAK/STAT, EGFR, and PI3K/Akt. Molecular docking analysis showed that STAT1 was the most promising target protein with the highest binding activity, suggesting its role as an important mediator for signal transduction after JPZS granule treatment. In the 43 SLE patients available for analysis, treatment with JPZS granule significantly reduced serum levels of p-JAK1/JAK1, p-STAT1/STAT1, and LC3II/LC3I (P < 0.05 or 0.01), increased the protein level of P62 (P < 0.05), and reduced urinary levels of nephrin and synaptopodin (P < 0.05). CONCLUSION: The therapeutic effect of JPZS granules on SLE is mediated probably by coordinated actions of quercetin, kaempferol, ß-sitosterol, and isorhamnetin on their target gene STAT1 to inhibit the JAK/STAT pathway, thus suppressing autophagy and alleviating podocyte injuries in SLE.

Potential mechanism of ginseng in the treatment of periodontitis based on network pharmacology and molecular docking.

OBJECTIVES: To explore the mechanism of ginseng in the treatment of periodontitis based on network pharmacology and molecular docking technology. METHODS: Potential targets of ginseng and periodontitis were obtained through various databases. The intersection targets of ginseng and periodontitis were obtained by using VENNY, the protein-protein interaction network relationship diagram was formed on the STRING platform, the core target diagram was formed by Cytoscape software, and the ginseng-active ingredient-target network diagram was constructed. The selected targets were screened for gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis. The core targets of ginseng's active ingredients in treating periodontitis were analyzed by molecular docking technique. RESULTS: The 22 ginseng's active ingredients, 591 potential targets of ginseng's active ingredients, 2 249 periodontitis gene targets, and 145 ginseng-periodontitis intersection targets were analyzed. Ginseng had strong binding activity on core targets such as vascular endothelial growth factor A and epidermal growth factor receptor, as well as hypoxia induced-factor 1 (HIF-1) signaling pathway and phosphatidylinositol 3-kinase-protein kinase B (PI3K-Akt) signaling pathway. CONCLUSIONS: Ginseng and its active components can regulate several signaling pathways such as HIF-1 and PI3K-Akt, thereby indicating that ginseng may play a role in treating periodontitis through multiple pathways.

Single-cell systems pharmacology identifies development-driven drug response and combination therapy in B cell acute lymphoblastic leukemia.

Leukemia can arise at various stages of the hematopoietic differentiation hierarchy, but the impact of developmental arrest on drug sensitivity is unclear. Applying network-based analyses to single-cell transcriptomes of human B cells, we define genome-wide signaling circuitry for each B cell differentiation stage. Using this reference, we comprehensively map the developmental states of B cell acute lymphoblastic leukemia (B-ALL), revealing its strong correlation with sensitivity to asparaginase, a commonly used chemotherapeutic agent. Single-cell multi-omics analyses of primary B-ALL blasts reveal marked intra-leukemia heterogeneity in asparaginase response: resistance is linked to pre-pro-B-like cells, with sensitivity associated with the pro-B-like population. By targeting BCL2, a driver within the pre-pro-B-like cell signaling network, we find that venetoclax significantly potentiates asparaginase efficacy in vitro and in vivo. These findings demonstrate a single-cell systems pharmacology framework to predict effective combination therapies based on intra-leukemia heterogeneity in developmental state, with potentially broad applications beyond B-ALL.

Network pharmacology-based investigation of the effects of Shenqi Fuzheng injection on glioma proliferation and migration via the SRC/PI3K/AKT signaling pathway.

ETHNOPHARMACOLOGICAL RELEVANCE: In the clinic, Shenqi Fuzheng Injection (SFI) is used as an adjuvant for cancer chemotherapy. However, the molecular mechanism is unclear. AIM OF THE STUDY: We screened potential targets of SFI action on gliomas by network pharmacology and performed experiments to validate possible molecular mechanisms against gliomas. MATERIALS AND METHODS: We consulted relevant reports on the SFI and glioma incidence from PubMed and Web of Science and focused on the mechanism through which the SFI inhibits glioma. According to the literature, two primary SFI components-Codonopsis pilosula (Franch.) Nannf. and Astragalus membranaceus (Fisch.) Bunge-have been found. All plant names have been sourced from "The Plant List" (www.theplantlist.org). The cell lines U87, T98G and GL261 were used in this study. The inhibitory effects of SFI on glioma cells U87 and T98G were detected by CCK-8 assay, EdU, plate cloning assay, scratch assay, Transwell assay, immunofluorescence, flow cytometry and Western blot. A subcutaneous tumor model of C57BL/6 mice was constructed using GL261 cells, and the SFI was evaluated by HE staining and immunohistochemistry. The targets of glioma and the SFI were screened using network pharmacology. RESULTS: A total of 110 targets were enriched, and a total of 26 major active components in the SFI were investigated. There were a total of 3,343 targets for gliomas, of which 79 targets were shared between the SFI and glioma tissues. SFI successfully prevented proliferation and caused cellular S-phase blockage in U87 and T98G cells, thus decreasing their growth. Furthermore, SFI suppressed cell migration by downregulating EMT marker expression. According to the results of the in vivo tests, the SFI dramatically decreased the development of tumors in a transplanted tumour model. Network pharmacological studies revealed that the SRC/PI3K/AKT signaling pathway may be the pathway through which SFI exerts its anti-glioma effects. CONCLUSIONS: The findings revealed that the SRC/PI3K/AKT signaling pathway may be involved in the mechanism through which SFI inhibits the proliferation and migration of glioma cells.

Network pharmacology combined with experimental validation to investigate the effect of Rongjin Niantong Fang on chondrocyte apoptosis in knee osteoarthritis.

Knee osteoarthritis (KOA) is a chronic degenerative disease that affects the quality of life of middle­aged and elderly individuals, and is one of the major factors leading to disability. Rongjin Niantong Fang (RJNTF) can alleviate the clinical symptoms of patients with KOA, but the molecular mechanism underlying its beneficial effects on KOA remains unknown. Using pharmacological analysis and in vitro experiments, the active components of RJNTF were analyzed to explore their potential therapeutic targets and mechanisms in KOA. The potential targets and core signaling pathways by which RJNTF exerts its effects on KOA were obtained from databases such as Gene Expression Omnibus, Traditional Chinese Medicine Systems Pharmacology and Analysis Platform. Subsequently, chondrocyte apoptosis was modeled using hydrogen peroxide (H2O2). Cell Counting Kit­8 assay involving a poly [ADP­ribose] polymerase­1 (PARP1) inhibitor, DAPI staining, reverse transcription­quantitative PCR, Annexin V­FITC/PI staining and flow cytometry, western blotting and co­immunoprecipitation analysis were used to determine the therapeutic efficacy of RJNTF on KOA and to uncover the molecular mechanism. It was found that PARP1­knockdown lentivirus, incubation with PARP1 inhibitor PJ34, medium and high doses of RJNTF significantly reduced H2O2­induced chondrocyte apoptosis. Medium and high doses of RJNTF downregulated the expression of cleaved caspase­3, cleaved PARP1 and PAR total proteins, as well as nucleus proteins of apoptosis­inducing factor (AIF) and migration inhibitory factor (MIF), and upregulated the expression of caspase­3, PARP1 total protein, as well as the cytoplasmic expression of AIF and MIF, suggesting that RJNTF may inhibit chondrocyte apoptosis through the PARP1/AIF signaling pathway.

Exploring the mechanism of Tingli Pill in the treatment of HFpEF based on network pharmacology and molecular docking.

To explore the mechanism of action of Tingli Pill (TLP) in the treatment of heart failure with preserved ejection fraction (HFpEF) by using network pharmacology and molecular docking technology. The active components and targets of TLP were screened using the TCMSP and UniProt databases. HFpEF-related targets were identified using the OMIM and GeneCards databases. Drug-disease intersection targets were obtained via Venny 2.1.0, as well as establishing the "component-target" network and screening out the core active components. Construct a protein-protein interaction network of intersecting targets using the STRING database as well as Cytoscape software and filter the core targets. Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis of core targets were performed using the Metascape database. The core active components of TLP for HFpEF were quercetin, kaempferol, ß-sitosterol, isorhamnetin and hederagenin. The core targets of TLP for HFpEF were JUN, MAPK1, TP53, AKT1, RELA, TNF, MAPK14, and IL16. Gene ontology enrichment analysis obtained 1528 biological processes, 85 cell components, and 140 molecular functions. The Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis yielded 1940 signaling pathways, mainly involved in lipid and atherosclerosis, regulation of apoptotic signaling pathway, PI3K-Akt signaling pathway, HIF-1 signaling pathway, oxidative stress, TNF signaling pathway, and IL-17 signaling pathway. TLP has the characteristics of multi-component, multi-target, and multi-pathway in the treatment of HFpEF. This study lays the foundation for revealing the pharmacodynamic substances and mechanism of TLP in the treatment of HFpEF.

Protective effect of quercetin on lipopolysaccharide­induced miscarriage based on animal experiments and network pharmacology.

Spontaneous abortion (SA) occurs in woman of child­bearing age, jeopardizing their physical and mental health. Quercetin is a natural flavonoid, which exhibits a variety of pharmacological activities. However, the role and mechanisms of quercetin in SA still need to be further explored. Animal experiments were performed to examine the effect of quercetin in treating SA. Institute of Cancer Research mice were injected with lipopolysaccharide into the tail vein on the 7th day of gestation to establish a SA model. Gavage was performed during days 3­8 of gestation with high­, medium­ and low­dose of quercetin. Then the effect of quercetin on embryos was evaluated. Animal experiment showed that quercetin could remarkably reduce the embryo loss rate and increase the mean weight of surviving embryos to some degree. Furthermore, network pharmacology was employed to explore the underlying mechanisms of quercetin in the treatment of SA. Several databases were used to collect the targets of SA and quercetin. Protein­protein interaction network, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were performed to elucidate the interactions between SA and quercetin. The relative mRNA expressions of several targets in uterine were detected by quantitative reverse transcriptase polymerase chain reaction (RT­qPCR). Network pharmacology indicated that the effects of quercetin in treating SA were mainly related to hormone response and the modulation of defense response and inflammatory response, involving signaling pathways such as PI3K­Akt, VEGF, MAPK and core targets such as AKT1, albumin, caspase­3. RT­qPCR showed that quercetin could up­regulate AKT1, MAPK1, PGR, SGK1 and down­regulate ESR1, MAPK3. The results showed that quercetin may modulate multiple signaling pathways by targeting core targets to prevent and treat SA.

Evaluation of the mechanism of Gong Ying San activity on dairy cows mastitis by network pharmacology and metabolomics analysis.

OBJECTIVES: The goal of this investigation was to identify the main compounds and the pharmacological mechanism of the traditional Chinese medicine formulation, Gong Ying San (GYS), by infrared spectral absorption characteristics, metabolomics, network pharmacology, and molecular-docking analysis for mastitis. The antibacterial and antioxidant activities were determined in vitro. METHODS: The chemical constituents of GYS were detected by ultra-high-performance liquid chromatography Q-extractive mass spectrometry (UHPLC-QE-MS). Related compounds were screened from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP, http://tcmspw.com/tcmsp.php) and the Encyclopedia of Traditional Chinese Medicine (ETCM, http://www.tcmip.cn/ETCM/index.php/Home/) databases; genes associated with mastitis were identified in DisGENT. A protein-protein interaction (PPI) network was generated using STRING. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment screening was conducted using the R module. Molecular-docking analyses were performed with the AutoDockTools V1.5.6. RESULTS: Fifty-four possible compounds in GYS with forty likely targets were found. The compound-target-network analysis showed that five of the ingredients, quercetin, luteolin, kaempferol, beta-sitosterol, and stigmasterol, had degree values >41.6, and the genes TNF, IL-6, IL-1ß, ICAM1, CXCL8, CRP, IFNG, TP53, IL-2, and TGFB1 were core targets in the network. Enrichment analysis revealed that pathways associated with cancer, lipids, atherosclerosis, and PI3K-Akt signaling pathways may be critical in the pharmacology network. Molecular-docking data supported the hypothesis that quercetin and luteolin interacted well with TNF-α and IL-6. CONCLUSIONS: An integrative investigation based on a bioinformatics-network topology provided new insights into the synergistic, multicomponent mechanisms of GYS's anti-inflammatory, antibacterial, and antioxidant activities. It revealed novel possibilities for developing new combination medications for reducing mastitis and its complications.

Mechanism of Smilax china L. in the treatment of intrauterine adhesions based on network pharmacology, molecular docking and experimental validation.

BACKGROUND: Smilax china L. (SCL) is a traditional herbal medicine for the potential treatment of intrauterine adhesion (IUA). However, the mechanisms of action have not yet been determined. In this study, we explored the effects and mechanisms of SCL in IUA by network pharmacology, molecular docking and molecular biology experiments. METHODS: Active ingredients and targets of SCL were acquired from TCMSP and SwissTargetPrediction. IUA-related targets were collected from the GeneCards, DisGeNET, OMIM and TTD databases. A protein‒protein interaction (PPI) network was constructed by Cytoscape 3.9.1 and analysed with CytoHubba and CytoNCA to identify the core targets. The DAVID tool was used for GO and KEGG enrichment analyses. Furthermore, molecular docking was employed to assess the interaction between the compounds and key targets. Finally, the mechanisms and targets of SCL in IUA were verified by cellular experiments and western blot. RESULTS: A total of 196 targets of SCL were identified, among which 93 were related to IUA. Topological and KEGG analyses results identified 15 core targets that were involved in multiple pathways, such as inflammation, apoptosis, and PI3K/AKT signalling pathways. Molecular docking results showed that the active compounds had good binding to the core targets. In vitro experiments showed that astilbin (AST), a major component of SCL, significantly reduced TGF-ß-induced overexpression of fibronectin (FN), activation of the PI3K/AKT signalling pathway and the expression of downstream factors (NF-κB and BCL2) in human endometrial stromal cells, suggesting that AST ameliorates IUA by mediating the PI3K/AKT/NF-κB and BCL2 proteins. CONCLUSIONS: AST, a major component of SCL, may be a potential therapeutic agent for IUA. Moreover, its mechanism is strongly associated with regulation of the PI3K/AKT signalling pathway and the downstream NF-κB and BCL2 proteins. This study will provide new strategies that utilize AST for the treatment of IUA.