Target Prediction Databases Research Articles

Inulae Flos is a potential herbal medicine to treat glioma: a study based on gene expression profile analysis, network pharmacology and molecular docking

Inulae Flos is a promising herbal medicine; however, its underlying mechanism in treating glioma remains unclear. This study aimed to elucidate the potential active ingredients and mechanisms of Inulae Flos in glioma treatment. Differentially expressed genes (DEGs) associated with gliomas were identified by analyzing the GSE186057 dataset. The bioactive components of Inulae Flos were searched in the Traditional Chinese Medicine Systems Pharmacology database, and related targets were obtained from the Swiss Target Prediction database. A protein-protein interaction (PPI) network was constructed using the STRING database. Next, the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) of these common targets were analyzed using the DAVID database. Finally, AutoDock Vina was used for molecular docking analysis. The tumor-suppressive properties of the crude extract of Inulae Flos (XFH) and britanin were then evaluated with in vitro and in vivo assays. Nineteen active ingredients were obtained from Inulae Flos, and 20 DEGs were identified as the targets of Inulae Flos in glioma treatment. Britanin, luteolin and 1-O-Acetylbritannilactone were identified as the key ingredients. PIK3R1, CDK2, CCNB1, MAPK1, MAPK8, CCNA2, and AR were considered to be the hub target genes of Inulae Flos in glioma treatment. Good binding affinity was observed between the key components and hub targets. In addition, in vitro studies showed that XFH and britanin, a key component of Inulae Flos, could inhibit the growth, migration and invasion glioma cell lines U87 and U138, and repress the tumorigenesis of U138 cells in nude mice. Inulae Flos is promising for glioma treatment, and it exerts its anti-tumor activities via multiple components, targets and pathways.

Therapeutic mechanism and key active ingredients of Yinxing Mihuan Oral Solution in coronary heart disease comorbidity with anxiety: A network pharmacology and molecular docking approach.

Yinxing Mihuan Oral Solution (YMOS) is a Chinese patent medicine for treating coronary heart disease combined anxiety (CHDCA), but the molecular mechanism of its treatment is still unclear. This article aims to understand the molecular mechanism, optimize clinical drug use, and guide new drug development. Using the Swiss Target Prediction database, we obtained the main chemical composition of YMOS. Then we used network pharmacology to identify their potential targets. Network construction, coupled with protein-protein interaction and enrichment analysis was used to identify representative components and core targets. Finally, molecular docking simulation was conducted to further refine the drug-target interaction. Forty-two active chemicals were found in YMOS and 91 target genes related to CHDCA. The treatment effect was found to be associated with 1908 biological processes and 160 pathways, as revealed by the outcomes of the enrichment analysis. The potential therapeutic mechanisms of the drug are closely related to its antioxidant, anti-inflammatory, and vascular function regulation pathways, and the main core targets include albumin, tumor necrosis factor, TP53, AKT serine/threonine kinase 1, interleukin 1 beta, and vascular endothelial growth factor A. The potential molecular mechanisms of YMOS in CHDCA treatment were identified using network pharmacology and molecular docking approaches. The results reveal the systemic biological implications of YMOS. This study has systematically uncovered the molecular mechanism of YMOS for the first time, offering fresh insights for evidence-based clinical applications.

Exploring the bioactive ingredients of three traditional Chinese medicine formulas against age-related hearing loss through network pharmacology and experimental validation.

Traditional Chinese medicine (TCM) formulas, including the Er-Long-Zuo-Ci pill, Tong-Qiao-Er-Long pill, and Er-Long pill, have long been utilized in China for managing age-related hearing loss (ARHL). However, the specific bioactive compounds, pharmacological targets, and underlying mechanisms remain elusive. This study aims to find the shared bioactive ingredients among these three formulas, uncover the molecular pathways they regulate, and identify potential therapeutic targets for ARHL. Furthermore, it seeks to validate the efficacy of these major components through both in vivo and in vitro experiments. Common bioactive ingredients were extracted from the TCMSP database, and their putative target proteins were predicted using the Swiss Target Prediction database. ARHL-related target proteins were collected from GeneCards and OMIM databases. Our approach involved constructing drug-target networks and drug-disease-specific protein-protein interaction networks and conducting clustering, topological property analyses, and functional annotation through GO and KEGG enrichment analysis. Molecular docking analysis was utilized to delineate interaction mechanisms between major bioactive ingredients and key target proteins. Finally, in vivo and in vitro experiments involving ABR recording, immunofluorescent staining, HE staining, and quantitative PCR were conducted to validate the treatment effects of flavonoids on the declining auditory function in DBA/2J mice. We identified 11 common chemical compounds across the three formulas and their associated 276 putative targets. Additionally, 3350 ARHL-related targets were compiled. As an intersection of the putative targets of the common compounds and ARHL-related proteins, 145 shared targets were determined. Functional enrichment analysis indicated that these compounds may modulate various biological processes, including cell proliferation, apoptosis, inflammatory response, and synaptic connections. Notably, potential targets such as TNFα, MAPK1, SRC, AKT, EGFR, ESR1, and AR were implicated. Flavonoids emerged as major bioactive components against ARHL based on target numbers, with molecular docking demonstrating diverse interaction models between these flavonoids and protein targets. Furthermore, baicalin could mitigate the age-related cochlear damage and hearing loss of DBA/2J mice through its multi-target and multi-pathway mechanism, involving anti-inflammation, modulation of sex hormone-related pathways, and activation of potassium channels. This study offers an integrated network pharmacology approach, validated by in vivo and in vitro experiments, shedding light on the potential mechanisms, major active components, and therapeutic targets of TCM formulas for treating ARHL.

A pilot study of precision treatment for patients with lung cancer pain by Longteng Tongluo recipe using serum genomics.

To investigate the efficacy of Longteng Tongluo recipe (, LTTL) combined with three-step analgesia for the treatment of lung cancer pain, and the changes in serum miRNA expressions before- and after treatment with LTTL and its correlation with lung cancer pain. The possible mechanism underlying LTTL effects on the treatment of lung cancer pain was conducted. The pilot study was conducted at the oncology ward of the Yueyang Hospital and the Longhua Hospital between March 2018 and October 2019. A prospective, single-blind, placebo controlled, randomized clinical trial of LTTL or placebo combined with three-step analgesia treatments were administered to 24 cancer pain patients diagnosed with lung cancer. Analgesic efficacy was investigated as the primary outcome. Equivalent morphine consumption and numerical rating scale (NRS) scores were used as the secondary outcome. In the present study, we utilized deep sequencing techniques to compare the differential miRNA expressions in serum samples obtained from two groups: the lung cancer pain treatment group (LTTL + three-step analgesia) and the control group (placebo + three-step analgesia). Next, we employed the target prediction database to investigate the target genes for differential miRNA expressions and Gene Ontology (GO) analysis along with Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis to examine the roles and the major biochemical and signaling pathways related to the differentially expressed target genes, respectively. LTTL treatment significantly reduces the NRS score (P = 0.021) as compared to those before treatment, along with significant reductions in the total morphine equivalent consumption (P = 0.007) and the average daily equivalent morphine consumption (P = 0.003) as opposed to the control group. The expressions of 31 miRNAs differed considerably between the two groups of patients (≥ 2 times up-modulated or down-regulated between these groups, P<0.05). For instance, the miRNAs expression levels for patients before treatment (has-miR-2110 and has-miR-7d-3p) were significantly enhanced as compared to the healthy people, after LTTL treatment, the expressions of miR-2110 and miR-7d-3p in patients with lung cancer pain reduced significantly. Studies show that the above two miRNAs were significantly associated with lung cancer pain, which could mediate lung cancer pain. Furthermore, we identified 355 genes as potential targets of the 31 differentially expressed miRNAs. Pathway enrichment analyses using KEGG and GO analysis indicated that these target genes may play a crucial role in the development and modulation of lung cancer pain. LTTL demonstrated a discernible impact on alleviating lung cancer pain and its mechanism of action may be related to the downregulation of has-miR-2110 and has-miR-7d-3p expressions. This pilot study provides support for further exploration of LTTL in patients with lung cancer pain.

Improvement effect and mechanism of XuanFuDaiZhe tang on rats with diarrheal irritable bowel syndrome induced by colorectal dilation

Ethnopharmacological relevanceXuanFuDaiZhe Tang (XFDZT) is used in traditional Chinese medicine (TCM) to treat diarrhoea-predominant irritable bowel syndrome (IBS-D). Our laboratory has demonstrated that XFDZT remarkably improves various gastrointestinal motility disorders in animal models. However, previous studies have only focused on one or several protein targets without systematically investigating dynamic changes and protein interrelations. Aim of the studyTo explore the mechanisms underlying the therapeutic action of XFDZT in IBS-D using a network pharmacology approach and in vivo experiments. Materials and methodsThe active compounds of XFDZT were selected from TCM Systems Pharmacology and TCM Integrated databases, and potential targets were identified using the Swiss Target Prediction databases. Targets related to IBS-D were mined from the DisGeNet, Drug Bank, and Therapeutic Target databases. The intersecting protein–protein interactions (PPIs) of the drug–disease crossover genes were analysed, and a central PPI network was constructed using the STRING database and Cytoscape 3.7.2. Following Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, a gene pathway network was constructed to identify key target genes and pathways. Using haematoxylin and eosin staining and western blotting, we validated how XFDZT controls water expression in the body to treat IBS-D infection. ResultsFirst, the results showed that XFDZT contained 1037 active ingredients and 1458 corresponding targets. After intersecting the 252 IBS targets, 108 targets were identified. The main targets of XFDZT were albumin, aquaporins such as AQP1 and AQP3, calmodulin, and the cellular enzyme CYP2C9. GO and KEGG enrichment predicted that the action pathways were the neuroactive ligand–receptor interaction, calcium signalling pathway, serotonergic synapse signalling pathway, cGMP–PKG signalling pathway, cAMP signalling pathway, and MLCK–MLC signalling pathway. Second, an IBS-D rat model was constructed using colorectal dilation (CRD). CRD can significantly induce IBS-D symptoms such as diarrhoea, abdominal pain, and anxiety and depression-like behaviour in rats. XFDZT (10, 20, and 40 g/kg) administered for 14, 21, and 28 days significantly reversed these changes in IBS-D rats in a time- and dose-dependent manner, suggesting that XFDZT significantly improved IBS-D. Finally, the mechanism by which XFDZT improves IBS-D was explored from the perspective of AQPs, tight junction proteins, and motility-related proteins in colon tissue. Compared with the control group, the protein expression of AQP1, AQP3, and AQP8 in the colon tissue of IBS-D rats was significantly downregulated, whereas the protein expression of AQP7 was significantly upregulated. The expression of tight junction-related proteins claudin-1, occludin, and ZO-1 in colon tissue was significantly downregulated, whereas the expression of motility-related proteins p-MLC, MLC, MLCK, and CaM in colon tissue was significantly upregulated, suggesting that IBS-D rats had AQP disorders, epithelial intercellular connections, and motility in colon tissue. The above changes were significantly reversed by XFDZT administration (5, 10, and 20 g/kg) for 14 days. ConclusionXFDZT significantly improved diarrhoea, abdominal pain, anxiety, and depression in IBS-D rats, and its mechanism of action may be related to the regulation of AQPs, tight junction proteins, and the MLCK–MLC pathway. This study provided a pharmacological experimental basis for the development of XFDZT as a novel drug for the treatment of IBS-D.

The Mechanism by Which Cyperus rotundus Ameliorates Osteoarthritis: A Work Based on Network Pharmacology.

Cyperus rotundus (CR) is widely used in traditional Chinese medicine to prevent and treat a variety of diseases. However, its functions and mechanism of action in osteoarthritis (OA) has not been elucidated. Here, a comprehensive strategy combining network pharmacology, molecular docking, molecular dynamics simulation and in vitro experiments was used to address this issue. The bioactive ingredients of CR were screened in TCMSP database, and the potential targets of these ingredients were obtained through Swiss Target Prediction database. Genes in OA pathogenesis were collected through GeneCards, OMIM and DisGeNET databases. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed using DAVID database. STRING database and Cytoscape 3.10 software were used to construct "component-target-pathway" network, and predict the core targets affected by CR. The binding affinity between bioactive components and the core targets was evaluated by molecular docking and molecular dynamics simulation. The therapeutic activity of kaempferol on chondrocytes in inflammatory conditions was verified by in vitro experiments. Fifteen CR bioactive ingredients were obtained, targeting 192 OA-related genes. A series of biological processes, cell components, molecular functions and pathways were predicted to be modulated by CR components. The core targets of CR in OA treatment were AKT serine/threonine kinase 1 (AKT1), interleukin 1 beta (IL1B), SRC proto-oncogene, non-receptor tyrosine kinase (SRC), BCL2 apoptosis regulator (BCL2), signal transducer and activator of transcription 3 (STAT3), epidermal growth factor receptor (EGFR), hypoxia-inducible factor 1 subunit alpha (HIF1A), matrix metallopeptidase 9 (MMP9), estrogen receptor 1 (ESR1) and PPARG orthologs from vertebrates (PPARG), and the main bioactive ingredients of CR showed good binding affinity with these targets. In addition, kaempferol, one of the CR bioactive components, weakens the effects of IL-1β on the viability, apoptosis and inflammation of chondrocytes. Theoretically, CR has great potential to ameliorate the symptoms and progression of OA, via multiple components, multiple targets, and multiple downstream pathways.

Integrating network pharmacology, molecular docking and experimental verification to explore the therapeutic effect and potential mechanism of nomilin against triple-negative breast cancer

BackgroundNomilin is a limonoid compound known for its multiple biological activities, but its role in triple negative breast cancer (TNBC) remains unclear. This study aims to uncover the potential therapeutic effect of nomilin on TNBC and elucidate the specific mechanism of its action.MethodsWe employed weighted gene co-expression network analysis (WGCNA), differential expression analysis, and the GeneCards database to identify potential targets for TNBC. Simultaneously, we utilized the Swiss Target Prediction, ChEMBL, and STITCH databases to identify potential targets of nomilin. The core targets and mechanisms of nomilin against TNBC were predicted through protein-protein interaction (PPI) network analysis, molecular docking, and enrichment analysis. The results of the network pharmacology were corroborated by conducting experiments.ResultsA total of 17,204 TNBC targets were screened, and 301 potential targets of nomilin were identified. Through the PPI network, eight core targets of nomilin against TNBC were pinpointed, namely BCL2, Caspase3, CyclinD1, EGFR, HSP90AA1, KRAS, PARP1, and TNF. Molecular docking, molecular dynamics simulation and proteome microarray revealed that nomilin exhibits strong binding activity to these core proteins. Enrichment analysis results indicated that the anti-TNBC effect of nomilin is associated with PI3K/Akt pathway. In vitro and in vivo experiments have demonstrated that nomilin inhibits TNBC cell proliferation and migration while promoting cell apoptosis through the PI3K/Akt pathway.ConclusionFor the first time, the research effectively discovered the objectives and mechanisms of nomilin in combating TNBC using network pharmacology, molecular docking, molecular dynamics simulation, proteome microarray and experimental confirmation, presenting a hopeful approach for treating TNBC.Graphical

Colchicine, serotobenine, and kinobeon A: novel therapeutic compounds in Carthamus tinctorius L. for the management of diabetes

Diabetes, a global health concern, poses increasing mortality risks. The pathogenesis of diabetes involves multiple mechanisms, with oxidative stress being one of the key contributors. As synthetic drugs have various side effects, which can be minimized by using herbal plants. This study focuses on the In vitro antioxidant potential, α-amylase inhibition potential, identification of bioactive compounds, and hub genes in diabetes treatment mechanism by using C. tinctorius Extraction of C. tinctorious lead and flower was performed using different solvents (Distilled water, methanol, chloroform, and Dimethyl ether). After extraction different concentrations range from 25–200 mg/mL) was made and checked against activities. The antioxidant potential was assessed using 2, 2-diphenyl-1-picrylhydrazyl (DPPH), total phenolic contents (TPC), and total antioxidant capacity (TAC) assays, while antidiabetic activity was evaluated through α-amylase inhibition assay. Phytochemicals was identified by GC–MS analysis, followed by ADMET screening and network pharmacology analysis using Swiss Target Prediction, Gene Card, DesGeNet, DAVID, STRING, Cytoscape, and drug revitalization databases. Results revealed positive correlations with DPPH, TAC, and TPC. Methanol extract exhibited the highest inhibitory concentration. Screening of 46 compounds was performed by studying their pharmacokinetic properties which revealed 9 compounds effective against 204 diabetes targets. Moreover, their network analysis identified four hub genes, including AKT1, JUN, EGFR, and MMP9. These genes found highly associated with drugs like Colchicine and Serotobenine. Revitalization analysis also highlighted four genes (EGFR, PTGS2, AKT1, and MMP9) strongly correlated with FDA-approved drugs. The study suggests C. tinctorius methanol extract is a potential source for novel drugs.Graphical

Hepatoprotective action mechanism and quantification of soyasaponin Bb in Abri Herba by HPLC and network pharmacology

Ethnopharmacological relevanceThe herb of Abrus cantoniensis Hance (AC) is an important Traditional Chinese Medicine (TCM) and is also used as an herbal tea with hepatoprotective action. Soyasaponin Bb is one of the pharmacodynamic substances of AC for the herb's effective pharmacological activity. This study aims to investigate the anti-fibrotic and hepatoprotective activities of soyasaponin Bb in vivo and in vitro experiments, mechanism by network pharmacology and quantification by HPLC. Materials and methodsHigh-performance liquid chromatography (HPLC) was applied to evaluate the quality of the herb and determine the contents of soyasaponin Bb from different sources and parts of the AC. In vivo experiments were conducted to induce an acute liver injury model by injecting CCl4 into mice, and an in vitro hepatic fibrosis model was established by cultivating LX-2 cells with TGF-β1. These models were used to explore the anti-fibrotic and hepatoprotective effects of soyasaponin Bb and its underlying mechanisms. In addition, the potential target genes corresponding to soyasaponin Bb were identified using the Swiss Target Prediction database through network pharmacology methods. Meanwhile, hepatic fibrosis targets were screened using the GeneCards, TTD, and OMIM disease databases. The STING database was used to construct the protein-protein interaction (PPI) network of soyasaponin Bb-hepatic fibrosis. The soyasaponin Bb-hepatic fibrosis disease target-pathway network was constructed using Cytoscape 3.9.1 software. Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to enrich and analyze the common targets of the drug and the disease, aiming to identify the potential targets and pathways involved in the anti-fibrotic and hepatoprotective effects of soyasaponin Bb. ResultsThe content of soyasaponin Bb varied across different sources, with the roots containing the highest concentration, up to 0.2480%. In vivo experiments showed that soyasaponin Bb had a protective effect against CCl4-induced acute liver injury, effectively inhibiting the increase in ALT and AST levels and slowing down the hepatocyte inflammatory damage caused by CCl4. Soyasaponin Bb also down-regulated MDA levels and up-regulated SOD levels, indicating a certain antioxidant capacity. In vitro cell experiments showed that soyasaponin Bb could effectively inhibit the proliferation of HSC-LX2 cells induced by TGF-β1 by regulating the TGF-β1/α-SMA pathway, significantly down-regulate the protein expression of TGF-β1 and α-SMA, while also reducing the levels of inflammatory cytokines IL-6 and IL-1β. Further network pharmacology analysis suggested that soyasaponin Bb can exert anti-fibrosis activity by regulating the IBD signaling pathway, Th17 signaling pathway, Hepatitis B signaling pathway, and JAK-STAT signaling pathway. ConclusionSoyasaponin Bb is primarily distributed in the root of AC, and it has a strong protective effect against CCl4-induced acute liver injury. It can reduce the level of inflammatory factors, relieve inflammation, and exert anti-fibrotic activity by regulating the TGF-β1/α-SMA pathway. Its potential anti-hepatic fibrosis mechanism has been investigated through network pharmacology.

Network pharmacology and molecular docking approach to elucidate the mechanisms of safflower, phellodendron, scutellaria baicalensis, coptis, and gardenia in hand-foot syndrome.

Safflower, phellodendron, scutellaria baicalensis, coptis, and gardenia (SPSCG) are medicinal plants with a wide range of anti-inflammatory and antioxidant effects. However, the related mechanism of SPSCG against hand-foot syndrome (HFS) has yet to be revealed. To investigate the mechanisms of SPSCG in the treatment of HFS using the Network Pharmacology. Active ingredients and targets of SPSCG for HFS were screened by the Chinese Medicine Systems Pharmacology (TCMSP) and Swiss Target Prediction databases. Potential therapeutic targets were collected from the GeneCards and OMIM databases. Subsequently, protein-protein interactions (PPI), Gene Ontology (GO) annotations, and pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed to investigate the potential mechanism of the SPSCG in HFS. Then, molecular docking and molecular dynamics simulations were performed to predict the binding interactions between the active compound and the core target. Finally, vitro experiments were used to verify the repair effect of key ingredients of SPSCG on cell damage caused by 5-Fluorouracil. Quercetin, kaempferol, β-sitosterol, and stigmasterol were identified as the major active components of SPSCG. GO analysis showed a total of 1,127 biological processes, 42 terms cellular components, and 57 molecular functions. KEGG analysis showed that the MAPK, TNF, and IL-17 signaling pathways were significantly enriched. The PPI analysis discovered that EGFR, CASP3, AKT1, CCND1, and CTNNB1 shared the highest centrality among all target genes. The experimental results confirmed that these SPSCG active ingredients could treat HFS by reducing inflammation reaction and promoting cell damage repair. SPSCG may alleviate HFS by exerting antioxidative effects and suppressing inflammatory responses.

Network pharmacological mechanism analysis and evidence-based medical validation of Dahuang Mudan Decoction in the treatment of acute pancreatitis.

Dahuang Mudan Decoction is commonly used in China for the treatment of acute pancreatitis. Nevertheless, the therapeutic efficacy of the drug remains a subject of debate, and its active ingredients and potential therapeutic targets remain to be determined. The present study used a network pharmacological approach to investigate the active ingredients and possible targets of the drug, and illustrated the clinical effectiveness of Dahuang Mudan Decoction in the treatment of acute pancreatitis by meta-analysis. The present study investigated the active ingredients of the constituent herbs of Dahuang Mudan Decoction using the TCMID database. In order to further identify molecular targets, Swiss Target Prediction, OMIM and Genecards databases was be used. The present study used metascape database for gene ontology function enrichment analysis and Kyoto Genome Encyclopedia pathway enrichment analysis. A gene interaction network diagram was established for predicting the main targets and mechanism of action to Dahuang Mudan Decoction for acute pancreatitis. To further illustrate the validity of the gene targets and the clinical efficacy of the drug, 13 relevant studies were included for meta-analysis and analyzed using the Cochrane Collaboration's Review Manager 5.4 software. After a thorough screening process, the present study identified three main components of Dahuang Mudan Decoction: kaempferol, quercetin and eupatin. These three major components have the potential to target 5 important proteins: AKT1, TNF-a, IL-6, TP53, HIF1A. In addition, pathway analyses by the Kyoto Genome Encyclopedia showed that Dahuang Mudan Decoction is active through the Pathways in cancer, AGE-RAGE signaling pathway in diabetic complications, PI3K-Akt signaling pathway, etc signaling pathway to act on acute pancreatitis. The results of meta-analysis showed that compared with the control group, the experimental group had superior performance in terms of overall treatment efficacy, reduction of hospital stays and inflammatory factor levels after treatment. In summary, network pharmacological studies have shown that Dahuang Mudan Decoction affects acute pancreatitis through different components, targets, and mechanisms. In addition, the meta-analysis study strongly supported the effectiveness of Dahuang Mudan Decoction in the treatment of acute pancreatitis.

Based on network pharmacology, molecular docking and experimental verification to reveal the mechanism of Andrographis paniculata against solar dermatitis

BackgroundSolar dermatitis (SD) is an acute, damaging inflammation of the skin caused by UV exposure, especially UVB. Therefore, the discovery of novel anti-SD therapeutic agents is crucial. Andrographis paniculata (AP) is a medicinal plant with a wide range of pharmacological effects. Increased evidence shows that AP has potential therapeutic effects on SD. However, the therapeutic mechanisms of AP against SD have not yet been completely elucidated, which is an unexplored field. PurposeThis study employed network pharmacology, molecular docking and experimental verification to ascertain the active constituents, possible targets, and biological pathways associated with AP in the treatment of SD. MethodsAP-related active ingredients and their potential targets were screened from TCMSP and Swiss Target Prediction database, respectively. Potential therapeutic targets of SD were collected using the GeneCards, DrugBank and OMIM databases. Then, we established protein-protein interaction (PPI), compound-target-disease (D-C-T-D) through Cytoscape to identify the major components, core targets of AP against SD. Next, the GO and KEGG pathway was identified by the David database of AP in the treatment of SD. Molecular docking techniques were used to estimate the binding force between the components and the hub genes. In this paper, we used UVB-irradiated HaCaT keratinocytes as an in vitro model and established the dorsal skin of UVB-irradiated ICR mice as an in vivo model to explore the mechanism for further verification. ResultsThere were 24 active components and 63 related target genes in AP against SD. PPI analysis showed that AKT-1, TNF-α, IL6, MMP9, EGFR, and PTGS2 shared the highest centrality among all target genes. KEGG pathway analysis revealed that the PI3K-Akt signaling pathway may be central in the anti-SD system. The molecular docking results showed that the main active components of AP have strong binding affinity with hub genes. In vitro results showed that WG had a protective effect on UVB-intervened HaCat cells. Western blot analysis showed that WG intervention achieved anti-inflammation by reducing the phosphorylated expression of AKT, PI3K proteins in the PI3K-AKT signaling pathway and downregulating the expression of TNF-α, IL-6, EGFR. Furthermore, Histological analysis confirmed that administration of WG to ICR mice significantly ameliorated UVB-induced skin roughness, epidermal thickening, disturbed collagen fiber alignment and wrinkles. Meanwhile, immunohistochemistry showed that administration of WG to ICR mice significantly reduced UVB-induced expression of MMP9, MPO, F4/80 in the skin. These results provide new insights into the contribution of WG to the development of clinical treatment modalities for UVB-induced SD. ConclusionThe crucial element in the fight against SD is WG, with the primary route being PI3K/Akt. The main components and hub genes had robust binding abilities. In vitro and vivo experiments showed that WG could inhibit the expression level of the hub genes by inhibiting the PI3K/Akt pathway. In summary, the information presented in this study indicates that WG might be utilised as a treatment for UVB-induced SD.

TiRNA-Gly-GCC-002 is associated with progression in patients with hepatocellular carcinoma.

The transfer RNA (tRNA)-derived fragments, generated by the cleavage of mature and pre-tRNAs, play a vital role in the tumorigenesis and progression of hepatocellular carcinoma (HCC). However, the relationship between tRNA-derived fragments and the prognosis of patients with HCC has not been thoroughly studied. This study aims to discuss the relationship between tiRNA-Gly-GCC-002 and the prognosis of HCC patients and its role in guiding HCC treatment. In this study, the differently expressed tRNA-derived fragments were screened out from the tumor tissues and paracancerous tissues. These tRNA-derived fragments were validated in the tissues and serum samples of patients with HCC by quantitative real-time polymerase chain reaction (qRT-PCR). The target genes of the tRNA-derived fragments were predicted with the microRNA target prediction database (miRDB), which was proceeded with gene set enrichment analysis (GSEA). After that, we analyzed the prognostic effect of the tRNA-derived fragment in relapse-free survival (RFS). Based on univariate and multivariate Cox regression analysis, independent prognostic factors for RFS were obtained. In addition, a column chart was constructed based on clinical pathological features and tiRNAGly-GCC-002. The tiRNA-Gly-GCC-002 was ultimately served as the candidate gene. Function analysis indicated that tiRNA-Gly-GCC-002 was primarily involved in adenyl nucleotide binding, cell cycle, cell cycle process and chromosome organization. We found that patients with high expression level of tiRNA-Gly-GCC-002 had worse prognosis than low expression level. The univariable and multivariable Cox regression analyses showed that tiRNAGly-GCC-002 was an important prognostic factor. Furthermore, the nomogram by combining tiRNA-Gly-GCC-002 expression level (P=0.03) and serum gamma-glutamyl transferase (GGT) level (P=0.001) was established to predict the prognosis of patients with HCC [concordance index (C-index): 0.789]. In summary, the tiRNA-Gly-GCC-002 can predict the outcome of patients with HCC, which may play a vital role in directing the treatment of HCC.

Exploring the pharmacological mechanism of Xianlingubao against diabetic osteoporosis based on network pharmacology and molecular docking: An observational study.

Xianlinggubao formula (XLGB), is a traditional Chinese compound Medicine that has been extensively used in osteoarthritis and aseptic osteonecrosis, but its curative effect on diabetic osteoporosis (DOP) and its pharmacological mechanisms remains not clear. The aim of the present study was to investigate the possible mechanism of drug repurposing of XLGB in DOP therapy. We acquired XLGB active compounds from the traditional Chinese medicine systems pharmacology and traditional Chinese medicines integrated databases and discovered potential targets for these compounds by conducting target fishing using the traditional Chinese medicine systems pharmacology and Swiss Target Prediction databases. Gene Cards and Online Mendelian Inheritance in Man® database were used to identify the DOP targets. Overlapping related targets between XLGB and DOP was selected to build a protein-protein interaction network. Next, the Metascape database was utilized to enrich the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways. In addition, Auto-Dock Vina software was used to verify drug and target binding. In total, 48 hub targets were obtained as the candidate targets responsible for DOP therapy. The anti-DOP effect mediated by XLGB was primarily centralized on the advanced glycation end products (AGEs)-receptor for AGE signaling pathway in diabetic complications and osteoclast differentiation. In addition, AKT serine/threonine kinase 1, tumor necrosis factor, Interleukin-6, vascular endothelial growth factor A and peroxisome proliferator activated receptor gamma, which were considered as potential therapeutic targets. Furthermore, molecular docking results confirm the credibility of the predicted therapeutic targets. This study elucidates that XLGB may through regulating AGEs formation and osteoclast differentiation as well as angiogenesis and adipogenesis against DOP. And this study provides new promising points to find the exact regulatory mechanisms of XLGB mediated anti-DOP effect.

Exploring the Mechanism of Myrrh in the Treatment of Breast Cancer Based on Network Pharmacology and Cell Experiments.

This study aimed to investigate the mechanism of action of myrrh in breast cancer (BC) treatment and identify its effective constituents. Data on the compounds and targets of myrrh were collected from the TCMSP, PubChem, and Swiss Target Prediction databases. BC-related targets were obtained from the Genecard database. A protein-protein interaction (PPI) analysis, gene ontology (GO) enrichment, and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were conducted on the intersecting targets of the disease and drug. The key targets of myrrh in BC treatment were identified based on the PPI network. The active constituents of myrrh were determined through reverse-screening using the top 20 KEGG pathways. Macromolecular docking studies, molecular dynamic (MD) simulations, and cell assays were utilized to validate the active constituents and critical targets. Network pharmacology indicated that VEGFA, TP53, ESR1, EGFR, and AKT1 are key targets of myrrh. Pelargonidin chloride, Quercetin, and Naringenin were identified as the active constituents of myrrh. Macromolecular docking showed that Quercetin and Naringenin have strong docking capabilities with ESR1. The results of MD simulation experiments align with those of molecular docking experiments. Cell and western blot assays demonstrated that Quercetin and Naringenin could inhibit MCF-7 cells and significantly reduce the expression of ESR1 protein. The findings reveal the active constituents, key targets, and molecular mechanisms of myrrh in BC treatment, providing scientific evidence that supports the role of myrrh in BC therapy. Furthermore, the results suggest that network pharmacology predictions require experimental validation for reliability.

Integrated network pharmacology and molecular docking to investigate the potential mechanism of Tufuling on Alzheimer's disease

ObjectiveThis study aimed to investigate the mechanism of Tu Fu Ling in treating Alzheimer's disease (AD) using network pharmacology and molecular docking. MethodsThe TCMSP and Swiss target prediction databases were utilized to confirm the active components of Tu Fu Ling and their corresponding targets, with target gene names converted using the UniProt database. Genes related to AD were collected from DisGeNET, GeneCards, and the Open Target Platform databases. Common target genes between the disease and the drug were obtained using Venny 2.1 tools and visualized using Cytoscape software. Protein-protein interaction (PPI) data were further analyzed to determine correlations between common target genes, and GO and KEGG pathway enrichment analyses were performed for intersecting genes. Finally, PYmol, AutoDock Tool, Discovery Studio 2020, and PyRx software were used for preliminary computer virtual verification and visualization of active drug ingredients and target proteins. ResultsNine active ingredients meeting the screening criteria yielded a total of 168 genes after removing duplicates. A total of 3833 target genes were collected, with 129 overlapping target genes identified. GO enrichment analysis identified 643 biological processes, 82 cellular components, and 147 molecular functions. KEGG pathway enrichment analysis also revealed a pathway closely related to AD (hsa05010: Alzheimer's disease). In molecular docking analysis, the binding affinity between the 9 active ingredients and 10 core targets ranged from −3.5 to −12.3 kcal/mol, indicating strong binding. ConclusionThis study preliminarily verified the combination of Tu Fu Ling's screened active ingredient and the calculated core target, suggesting a potential mechanism of action to improve the symptoms of AD patients through multi-target and multi-pathway approaches. This provides a valuable reference for further exploration of the pharmacological mechanism of AD and the formulation of drug therapy.

Investigating the Molecular Mechanisms of Resveratrol in Treating Cardiometabolic Multimorbidity: A Network Pharmacology and Bioinformatics Approach with Molecular Docking Validation.

Resveratrol is a potent phytochemical known for its potential in treating cardiometabolic multimorbidity. However, its underlying mechanisms remain unclear. Our study systematically investigates the effects of resveratrol on cardiometabolic multimorbidity and elucidates its mechanisms using network pharmacology and molecular docking techniques. We screened cardiometabolic multimorbidity-related targets using the OMIM, GeneCards, and DisGeNET databases, and utilized the DSigDB drug characterization database to predict resveratrol's effects on cardiometabolic multimorbidity. Target identification for resveratrol was conducted using the TCMSP, SymMap, DrugBank, Swiss Target Prediction, CTD, and UniProt databases. SwissADME and ADMETlab 2.0 simulations were used to predict drug similarity and toxicity profiles of resveratrol. Protein-protein interaction (PPI) networks were constructed using Cytoscape 3.9.1 software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses were performed via the DAVID online platform, and target-pathway networks were established. Molecular docking validated interactions between core targets and resveratrol, followed by molecular dynamics simulations on the optimal core proteins identified through docking. Differential analysis using the GEO dataset validated resveratrol as a core target in cardiometabolic multimorbidity. A total of 585 cardiometabolic multimorbidity target genes were identified, and the predicted results indicated that the phytochemical resveratrol could be a major therapeutic agent for cardiometabolic multimorbidity. SwissADME simulations showed that resveratrol has potential drug-like activity with minimal toxicity. Additionally, 6703 targets of resveratrol were screened. GO and KEGG analyses revealed that the main biological processes involved included positive regulation of cell proliferation, positive regulation of gene expression, and response to estradiol. Significant pathways related to MAPK and PI3K-Akt signaling pathways were also identified. Molecular docking and molecular dynamics simulations demonstrated strong interactions between resveratrol and core targets such as MAPK and EGFR. This study predicts potential targets and pathways of resveratrol in treating cardiometabolic multimorbidity, offering a new research direction for understanding its molecular mechanisms. Additionally, it establishes a theoretical foundation for the clinical application of resveratrol.

Mechanisms of Puerariae Lobatae Radix in regulating sebaceous gland secretion: insights from network pharmacology and experimental validation.

This research aims to explore how Puerariae Lobatae Radix regulates sebaceous gland secretion using network pharmacology, and validate its effects on important targets through animal studies. This study utilized UPLC-EQ-MS to analyze Puerariae Lobatae Radix extract and identify potential bioactive compounds. Predicted targets of these compounds were obtained from the Swiss Target Prediction database, while targets associated with sebaceous gland secretion were obtained from the GeneCards database. Common targets between the databases were identified and a protein-protein interaction (PPI) network was established using the STRING platform. The PPI network was further analyzed using Cytoscape software. Pathway enrichment analysis was performed using Reactome, and molecular docking experiments targeted pivotal pathway proteins. Animal experiments were then conducted to validate the regulatory effects of the primary active compounds of Puerariae Lobatae Radix on key pathway proteins. This research identified 17 active compounds in Puerariae Lobatae Radix and 163 potential targets associated with the regulation of sebum secretion. Pathway enrichment analysis indicates that these targets may modulate lipid metabolism pathways through involvement in peroxisome proliferator-activated receptor α, SREB, steroid metabolism, and arachidonic acid metabolism pathways. Molecular docking analysis demonstrates that puerarin and daidzein show favorable binding interactions with key targets in these pathways. Animal experiments demonstrated that the administration of Puerariae Lobatae Radix resulted in a significant reduction in the area of sebaceous gland patches compared to the control group. Histological analysis revealed notable alterations in the structure of sebaceous glands, including reductions in size, thickness, and density. Furthermore, the expression levels of TG, DHT, and IL-6 were significantly decreased in the Puerariae Lobatae Radix group (p < 0.05), and immunoblotting indicated a significant decrease in the expression of PPARG and ACC1 (p < 0.05). This study demonstrates that Puerariae Lobatae Radix can regulate skin lipid metabolism by targeting multiple pathways. The primary mechanism involves inhibiting sebaceous gland growth and reducing TG secretion by modulating the expression of PPARG and ACC1. Puerarin and Daidzein are identified as key bioactive compounds responsible for this regulatory effect. These findings highlight the therapeutic potential of Puerariae Lobatae Radix in addressing sebaceous gland-related conditions.

Euonymus alatus delays progression of diabetic kidney disease in mice by regulating EGFR tyrosine kinase inhibitor resistance signaling pathway

To explore the therapeutic mechanism of Euonymus alatus for diabetic kidney disease (DKD). TCMSP, PubChem and Swiss Target Prediction databases were used to obtain the active ingredients in Euonymus alatus and their targets. GEO database and R language were used to analyze the differentially expressed genes in DKD. The therapeutic targets of DKD were obtained using GeneCards, DisGeNet, OMIM and TTD databases. The protein-protein interaction network and the "drug-component-target-disease" network were constructed for analyzing the topological properties of the core targets, which were functionally annotated using GO and KEGG pathway enrichment analyses. Molecular docking was performed for the core targets and the main pharmacologically active components, and the results were verified in db/db mice. Analysis of GSE96804, GSE30528 and GSE30529 datasets (including 60 DKD patients and 45 normal samples) identified 111 differentially expressed genes in DKD. Network pharmacology analysis obtained 161 intersecting genes between the target genes of Euonymus alatus and DKD, including the key core target genes SRC, EGFR, and AKT1. The core active ingredients of Euonymus alatus were quercetin, kaempferol, diosmetin, and naringenin, which were associated with responses to xenobiotic stimulionus and protein phosphorylation and regulated EGFR tyrosine kinase inhibitor resistance pathways. Molecular docking suggested good binding activities of the core active components of Euonymus alatus with the core targets. In db/db mouse models of DKD, treatment with Euonymus alatus obviously ameliorated kidney pathologies, significantly inhibited renal expressions of SRC, EGFR and AKT1, and delayed the progression of DKD. Euonymus alatus contains multiple active ingredients such as quercetin, kakaferol, diosmetin, naringenin, which regulate the expressions of SRC, EGFR, and AKT1 to affect the EGFR tyrosine kinase inhibitor resistance signaling pathway to delay the progression of DKD.

Unveiling the molecular mechanisms of Dendrobium officinale polysaccharides on intestinal immunity: An integrated study of network pharmacology, molecular dynamics and in vivo experiments

Intestinal immunity plays a pivotal role in overall immunological defenses, constructing mechanisms against pathogens while maintaining balance with commensal microbial communities. Existing therapeutic interventions may lead to drug resistance and potential toxicity when immune capacity is compromised. Dendrobium officinale, a traditional Chinese medicine, contains components identified to bolster immunity. Employing network pharmacology strategies, this study identified constituents of Dendrobium officinale and their action targets in the TCMSP and Swiss Target Prediction databases, and compared them with intestinal immunity-related targets. Protein-protein interaction networks revealed the core targets of Dendrobium officinale polysaccharides, encompassing key pathways such as cell proliferation, inflammatory response, and immune reactions, particularly in association with the Toll-like receptor 4. Molecular docking and molecular dynamics simulation further confirmed the high affinity and stability between Dendrobium officinale polysaccharides and Toll-like receptor 4. In vivo experiments demonstrated that Dendrobium officinale polysaccharides modulates the expression of Toll-like receptor 4 and its downstream key proteins in the colonic mucosa of mice. Consequently, these findings suggest that Dendrobium officinale polysaccharides may serve as a potential modulator for intestinal immune functions, with its mechanism potentially related to the Toll-like receptor 4.