LettuceDB: an integrated multi-omics database for cultivated lettuce.

Crop genomics has advanced rapidly during the past decade, which generated a great abundance of omics data from multi-omics studies. How to utilize the accumulating data becomes a critical and urgent demand in crop science. As an attempt to integrate multi-omics data, we developed a database, LettuceDB (https://db.cngb.org/lettuce/), aiming to assemble multidimensional data for cultivated and wild lettuce germplasm. The database includes genome, variome, phenome, microbiome and spatial transcriptome. By integrating user-friendly bioinformatics tools, LettuceDB will serve as a one-stop platform for lettuce research and breeding in the future. Database URL: https://db.cngb.org/lettuce/.

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 the mechanism of Corbrin capsules in the intervention of AKI-COVID-19 based on network pharmacology combined with GEO dataset.

AIM: of the study: This study used network pharmacology and the Gene Expression Omnibus (GEO) database to investigate the therapeutic effects of Corbrin capsules on acute kidney injury (AKI)-COVID-19 (coronavirus disease 2019). MATERIALS AND METHODS: The active constituents and specific molecular targets of Corbrin capsules were obtained from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) and Swiss Target Prediction databases. The targets related to AKI and COVID-19 disease were obtained from the Online Mendelian Inheritance in Man (OMIM), GeneCards, and GEO databases. A protein-protein interaction (PPI) network was constructed by utilizing Cytoscape. To enhance the analysis of pathways associated with the pathogenesis of AKI-COVID-19, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed. Furthermore, immune infiltration analysis was performed by using single-sample gene set enrichment analysis (ssGSEA) and CIBERSORT. Molecular docking was used to assess interactions between differentially expressed genes and active ingredients. Verification was performed by utilizing GEO databases and in vivo assays. RESULTS: This study revealed an overlap of 18 significantly differentially expressed genes between the Corbrin capsules group and the AKI-COVID-19 target group. Analysis of the PPI network identified TP53, JAK2, PIK3CA, PTGS2, KEAP1, and MCL1 as the top six core protein targets with the highest degrees. The results obtained from GO and KEGG analyses demonstrated that the target genes were primarily enriched in the apoptosis and JAK-STAT signaling pathways. Moreover, the analysis of immune infiltration revealed a notable disparity in the percentage of quiescent memory CD4 + T cells. Western blot analyses provided compelling evidence suggesting that the dysregulation of 6 core protein targets could be effectively reversed by Corbrin capsules. CONCLUSION: This study revealed the key components, targets, and pathways involved in treating AKI-related COVID-19 using Corbrin capsules. This study also provided a new understanding of the molecular mechanisms underlying this treatment.

Network pharmacology and molecular docking to explore the mechanism of a clinical proved recipe for external use of clearing heat and removing dampness in the treatment of immune-related cutaneous adverse events.

Immune-related cutaneous adverse events (ircAEs) will undermine the patients' quality of lives, and interrupt the antitumor therapy. A clinical proved recipe for external use of clearing heat and removing dampness (Qing-Re-Li-Shi Formula, hereinafter referred to as "QRLSF") is beneficial to the treatment of ircAEs in clinical practice. Our study will elucidate the mechanism of QRLSF against ircAEs based on network pharmacology and molecular docking. The active components and corresponding targets of QRLSF were collected through traditional Chinese medicine systems pharmacology database. GeneCards, online Mendelian inheritance in man, and pharmacogenomics knowledgebase were used to screen the targets of ircAEs. The intersecting targets between drug and disease were acquired by venn analysis. Cytoscape software was employed to construct "components-targets" network. Search tool for the retrieval of interacting genes/proteins database was applied to establish the protein-protein interaction network and then its core targets were identified. Gene ontology and Kyoto encyclopedia of genes and genomes analysis was performed to predict the mechanism. The molecular docking verification of key targets and related phytomolecules was accomplished by AutoDock Vina software. Thirty-nine intersecting targets related to QRLSF against ircAEs were recognized. The analysis of network clarified 5 core targets (STAT3, RELA, TNF, TP53, and NFKBIA) and 4 key components (quercetin, apigenin, luteolin, and ursolic acid). The activity of QRLSF against ircAEs could be attributed to the regulation of multiple biological effects via multi-pathways (PI3K-Akt pathway, cytokine-cytokine receptor interaction, JAK-STAT pathway, chemokine pathway, Th17 cell differentiation, IL-17 pathway, TNF pathway, and Toll-like receptor pathway). The binding activities were estimated as good level by molecular docking. These discoveries disclosed the multi-component, multi-target, and multi-pathway characteristics of QRLSF against ircAEs, providing a new strategy for such medical problem.

Observational study on the potential mechanism of Sanao decoction in the treatment of asthma based on network pharmacology and molecular docking.

Bronchial asthma (BA) is a chronic respiratory disease closely related to immune system dysregulation. Traditional Chinese medicine has long adopted the strategy of Sanao decoction in the treatment of bronchial asthma. However, due to the multi-target and multi-pathway characteristics of Chinese herbal medicine, we are still unclear about the specific mechanism of Sanao decoction in treating bronchial asthma. To investigate the mechanism of action of Sanao decoction in the treatment of BA using a network pharmacology approach and preliminary validation by molecular docking technology. Traditional Chinese medicine systems pharmacology database and analysis platform and UniProt databases were used to search the active ingredients and targets of Sanao decoction, and BA-related targets were screened according to GeneCards and online Mendelian inheritance in man database databases. The intersection targets were imported into the STRING database to construct a protein-protein interaction network, and Cytoscape 3.9.1 software was used to screen out hub genes. This study also constructed a "drug-ingredient-target" visual network diagram. Gene Ontology and Kyoto Encyclopedia of Genomes enrichment analysis was performed on targets in the protein-protein interaction network using the ClusterProfiler package in R, with a P value < .05. Autodock software was used for molecular docking to complete the preliminary verification of core components and targets. A total of 73 active compounds and 308 targets of Sanao decoction, including 1640 BA-related disease targets, were retrieved from mainstream databases. Gene Ontology analysis and Kyoto encyclopedia of genes and genomes enrichment analysis suggested that Sanao decoction plays a role in the treatment of BA through signaling pathways such as PI3K-Akt, MAPK, and IL-17 signaling pathway. The 9 core goals represent the main elements related to Sanao decoction in the treatment of BA. Subsequently, the molecular docking results showed that most of the active compounds of Sanao decoction have strong binding efficiency with the hub gene. Sanao decoction has a key impact on BA through multiple channels. In summary, this intricate network reflects the potential of Sanao decoction in treating BA, a multifactorial disease. In addition, this study laid the foundation for further in vivo and in vitro experimental research and expanded the clinical application of Sanao decoction.

Elucidating the molecular mechanisms of sepsis: Identifying key aging-related biomarkers and potential therapeutic targets in the treatment of sepsis.

BACKGROUND: Sepsis remains a crucial global health issue characterized by high mortality rates and a lack of specific treatments. This study aimed to elucidate the molecular mechanisms underlying sepsis and to identify potential therapeutic targets and compounds. METHODS: High-throughput sequencing data from the GEO database (GSE26440 as the training set and GSE13904 and GSE32707 as the validation sets), weighted gene co-expression network analysis (WGCNA), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, alongside a combination of PPI and machine learning methods (LASSO and SVM) were utilized. RESULTS: WGCNA identified the black module as positively correlated, and the green module as negatively correlated with sepsis. Further intersections of these module genes with age-related genes yielded 57 sepsis-related genes. GO and KEGG pathway enrichment analysis, PPI, LASSO, and SVM selected six hub aging-related genes: BCL6, FOS, ETS1, ETS2, MAPK14, and MYC. A diagnostic model was constructed based on these six core genes, presenting commendable performance in both the training and validation sets. Notably, ETS1 demonstrated significant differential expression between mild and severe sepsis, indicating its potential as a biomarker of severity. Furthermore, immune infiltration analysis of these six core genes revealed their correlation with most immune cells and immune-related pathways. Additionally, compounds were identified in the traditional Chinese medicine Danshen, which upon further analysis, revealed 354 potential target proteins. GO and KEGG enrichment analysis of these targets indicated a primary enrichment in inflammation and immune-related pathways. A Venn diagram intersects these target proteins, and our aforementioned six core genes yielded three common genes, suggesting the potential efficacy of Danshen in sepsis treatment through these genes. CONCLUSIONS: This study highlights the pivotal roles of age-related genes in the molecular mechanisms of sepsis, offers potential biomarkers, and identifies promising therapeutic compounds, laying a robust foundation for future studies on the treatment of sepsis.

Systematic Pharmacology and Experimental Validation to Reveal the Alleviation of Astragalus membranaceus Regulating Ferroptosis in Osteoarthritis.

Background: Astragalus membranaceus (AM) shows promise as a therapeutic agent for osteoarthritis (OA), a debilitating condition with high disability rates. OA exacerbation is linked to chondrocyte ferroptosis, yet the precise pharmacological mechanisms of AM remain unclear. Methods: We validated AM's protective efficacy in an anterior cruciate ligament transection (ACLT) mouse model of OA. The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) database was utilized to identify AM's active components and their targets. FerrDb (a database for regulators and markers of ferroptosis and ferroptosis-disease associations) pinpointed ferroptosis-related targets, while GeneCards, Online Mendelian Inheritance in Man (OMIM), Pharmacogenomics Knowledgebase (PharmGKB), Therapeutic Target Database (TTD), and DrugBank sourced OA-related genes. Molecular docking analysis further validated these targets. Ultimately, the validation of the results was accomplished through in vitro experiments. Results: AM exhibited anabolic effects and suppressed catabolism in OA chondrocytes. Network pharmacology identified 19 common genes, and molecular docking suggested quercetin, an AM constituent, interacts with key proteins like HO-1 and NRF2 to inhibit chondrocyte ferroptosis. In vitro experiments confirmed AM's ability to modulate the NRF2/HO-1 pathway via quercetin, mitigating chondrocyte ferroptosis. Conclusion: This study elucidates how AM regulates chondrocyte ferroptosis, impacting OA progression, providing a theoretical basis and experimental support for AM's scientific application.

Uncovering the Mechanism of Chinese Hawthorn Leaf on Myocardial Ischemia Based on Network Pharmacology, Molecular Docking Verification, and In Vitro Studies.

Hawthorn leaf has shown therapeutic effects in the patients with myocardial ischemia. Our study combines network pharmacology, molecular docking techniques, and in vitro experiment with the aim of revealing the mechanism of hawthorn leaves in the treatment of myocardial ischemia. The active ingredients and corresponding targets of hawthorn leaf through Traditional Chinese Medicine System Pharmacology and Swiss Target Prediction databases. Targets related to myocardial ischemia were retrieved by Gene Card, Online Mendelian Inheritance in Man, Disgenet, and Therapeutic Targets Database databases. Cytoscape software was used to construct an ingredient-target-organ network and enrichment analysis of common targets was analyzed. Molecular docking verification of the core compound and target interactions was performed using MOE software. In vitro cell experiment was performed to verify the findings from bioinformatics analysis. Six active components and 107 potential therapeutic targets were screened. The protein-protein interaction network analysis indicated that 10 targets, including AKT1 and EGFR, were hub genes. Quercetin, kaempferol and isorhamnetin were taken as core active components. Through pathway enrichment analysis, nearly 455 Gene Ontology entries and 77 Kyoto Encyclopedia of Genes and Genomes pathways were obtained, mainly including PI3K/Akt, estrogen and other signaling pathways. Molecular docking prediction showed that three main active ingredients were firmly combined with the core targets. Cellular experiments showed that quercetin alleviated oxidative damage in cells and regulated the expression of PI3K, P-AKT/AKT and Bax/Bcl-2 proteins. This study identified the potential targets of Hawthorn leaf against myocardial ischemia using network pharmacology and in vitro verification, which provided a new understanding of the pharmacological mechanisms of Hawthorn leaf in treatment of myocardial ischemia.

TPIA2: an updated tea plant information archive for Camellia genomics.

The genus Camellia consists of about 200 species, which include many economically important species widely used for making tea, ornamental flowers and edible oil. Here, we present an updated tea plant information archive for Camellia genomics (TPIA2; http://tpia.teaplants.cn) by integrating more novel large-scale genomic, transcriptomic, metabolic and genetic variation datasets as well as a variety of useful tools. Specifically, TPIA2 hosts all currently available and well assembled 10 Camellia genomes and their comprehensive annotations from three major sections of Camellia. A collection of 15 million SNPs and 950 950 small indels from large-scale genome resequencing of 350 diverse tea accessions were newly incorporated, followed by the implementation of a novel 'Variation' module to facilitate data retrieval and analysis of the functionally annotated variome. Moreover, 116 Camellia transcriptomes were newly assembled and added, leading to a significant extension of expression profiles of Camellia genes to 13 developmental stages and eight abiotic/biotic treatments. An updated 'Expression' function has also been implemented to provide a comprehensive gene expression atlas for Camellia. Two novel analytic tools (e.g. Gene ID Convert and Population Genetic Analysis) were specifically designed to facilitate the data exchange and population genomics in Camellia. Collectively, TPIA2 provides diverse updated valuable genomic resources and powerful functions, and will continue to be an important gateway for functional genomics and population genetic studies in Camellia.

MethMarkerDB: a comprehensive cancer DNA methylation biomarker database.

DNA methylation plays a crucial role in tumorigenesis and tumor progression, sparking substantial interest in the clinical applications of cancer DNA methylation biomarkers. Cancer-related whole-genome bisulfite sequencing (WGBS) data offers a promising approach to precisely identify these biomarkers with differentially methylated regions (DMRs). However, currently there is no dedicated resource for cancer DNA methylation biomarkers with WGBS data. Here, we developed a comprehensive cancer DNA methylation biomarker database (MethMarkerDB, https://methmarkerdb.hzau.edu.cn/), which integrated 658 WGBS datasets, incorporating 724 curated DNA methylation biomarker genes from 1425 PubMed published articles. Based on WGBS data, we documented 5.4 million DMRs from 13 common types of cancer as candidate DNA methylation biomarkers. We provided search and annotation functions for these DMRs with different resources, such as enhancers and SNPs, and developed diagnostic and prognostic models for further biomarker evaluation. With the database, we not only identified known DNA methylation biomarkers, but also identified 781 hypermethylated and 5245 hypomethylated pan-cancer DMRs, corresponding to 693 and 2172 genes, respectively. These novel potential pan-cancer DNA methylation biomarkers hold significant clinical translational value. We hope that MethMarkerDB will help identify novel cancer DNA methylation biomarkers and propel the clinical application of these biomarkers.

Network pharmacology prediction and molecular docking analysis reveal the mechanism of modified Bushen Yiqi formulas on chronic obstructive pulmonary disease.

BACKGROUND: The present study aimed to explore the mechanism of the modified Bushen Yiqi formula (MBYF) in the treatment of chronic obstructive pulmonary disease (COPD) based on network pharmacology and molecular docking. METHODS: First, the active ingredients and corresponding targets in MBYF were mined through the Traditional Chinese Medicine Systems Pharmacology database. Subsequently, Online Mendelian Inheritance in Man, DrugBank, and GeneCard were used to screen COPD-related targets. Cytoscape was used to construct a network of candidate components of MBYF in COPD treatment. The overlapping targets of COPD and MBYF were used to treat COPD, and then CytoHubba and CytoNAC plug-ins in Cytoscape were used for topology analysis to build the core network. In addition, core targets were used for Gene Ontology analysis and enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes. Finally, AutoDock Vina software was used to conduct a molecular docking study on the core active ingredients and core targets to verify the above network pharmacological analysis. RESULTS: Seventy-nine active components of MBYF were screened and 261 corresponding targets were found. At the same time, 1307 related targets corresponding to COPD were screened and 111 overlapping targets were matched. By bioinformatics analysis, 10 core targets were identified, and subsequently, enrichment analysis revealed 385 BP, two CC, eight MF and 78 related signaling pathways. The binding of the core active components in MBYF to the core target was further verified by molecular docking, and all showed good binding. CONCLUSIONS: The active components of MBYF, such as quercetin, kaempferol, luteolin, and baicalein, may be the material basis for the treatment of chronic obstructive pulmonary disease. They affect the expression of inflammatory cells and inflammatory factors, protein phosphorylation, and smooth muscle hyperplasia through tumor necrosis factor, interleukin-17, mitogen-activated protein kinase, nuclear factor-kappa B and other signaling pathways.

A network pharmacology approach and experimental validation to investigate the anticancer mechanism of Qi-Qin-Hu-Chang formula against colitis-associated colorectal cancer through induction of apoptosis via JNK/p38 MAPK signaling pathway.

ETHNOPHARMACOLOGICAL RELEVANCE: The Qi-Qin-Hu-Chang Formula (QQHCF) is a traditional Chinese medicine prescription that is clinically used at the Affiliated Hospital of Nanjing University of Chinese Medicine for the treatment of colitis-associated colorectal cancer (CAC). AIM OF THE STUDY: To evaluate the potential therapeutic effects of QQHCF on a CAC mouse model and investigate its underlying mechanisms using network pharmacology and experimental validation. MATERIALS AND METHODS: The active components and potential targets of QQHCF were obtained from Traditional Chinese Medicine Systems Pharmacology (TCMSP) and herb-ingredient-targets gene network were constructed by Cytoscape 3.9.2. Target genes of CAC were obtained from GeneCards, Online Mendelian Inheritance in Man, and DrugBank database. The drug disease target protein-protein interaction (PPI) network was constructed and the core targets were visualized and identified using Cytoscape. The Metascape database was used for GO and KEGG enrichment analysis. UHPLC-MS/MS was used to further identify the active compounds in QQHCF. Subsequently, the therapeutic effects and potential mechanism of QQHCF against CAC were investigated in AOM/DSS-induced CAC mouse in vivo, and HT-29 and HCT116 cells in vitro. Finally, interactions between JNK, p38, and active ingredients were assessed by molecular docking. RESULTS: A total of 176 active compounds, 273 potential therapeutic targets, and 2460 CAC-related target genes were obtained. The number of common targets between QQHCF and CAC were 165. KEGG pathway analysis indicated that the MAPK signaling pathway was closely associated with CAC, which may be the potential mechanism of QQHCF against CAC. Network pharmacology and UHPLC-MS/MS analyses showed that the active compounds of QQHCF included quercetin, kaempferol, luteolin, wogonin, oxymatrine, lupanine, and baicalin. Animal experiments demonstrated that QQHCF reduced tumor load, number, and size in AOM/DSS-treated mice, and induced apoptosis in colon tissue. In vitro experiments further showed that QQHCF induced apoptosis and inhibited cell viability, migration, and invasion in HCT116 and HT-29 cells. Notably, QQHCF activated the JNK/p38 MAPK signaling pathway both in vivo and in vitro. Molecular docking analysis revealed an ability for the main components of QQHCF and JNK/p38 to bind. CONCLUSION: The present study demonstrated that QQHCF could ameliorate AOM/DSS-induced CAC in mice by activating the JNK/p38 MAPK signaling pathway. These results have important implications for the development of effective treatment strategies for CAC.

Exploring the mechanism of action of total glucosides of paeony against autoimmune thyroiditis based on network pharmacology and molecular docking.

The objective of this study is to explore the potential mechanism of action of Total glucosides of paeony (TGP) in the treatment of autoimmune thyroiditis (AIT). The study utilized literature mining to obtain the active ingredients of TGP. Databases such as Super-PRED, similarity ensemble approach, and Swiss Target Prediction were utilized to predict the targets of the active ingredients. DisGeNET, Dangbank, GeneCards, online mendelian inheritance in man, and Pharmgkb databases were used to obtain the targets related to AIT. The Venn Online tool was used to screen the intersecting genes between the active ingredients and AIT targets. The STRING database was employed to analyze protein protein interaction. Gene ontology bio-enrichment and Kyoto encyclopedia of genes and genomes enrichment of common targets were analyzed using R language. Finally, molecular docking was performed using AutoDockTools-1.5.6 software for validation. The study identified 5 active ingredients of TGP, 283 ingredient targets, 7120 disease targets, 220 intersecting targets, 30 entries for gene ontology analysis, and 30 pathways for Kyoto encyclopedia of genes and genomes analysis. The important targets of the protein protein interaction network were identified as interleukin-6, proto-oncogene tyrosine-protein kinase, epidermal growth factor receptor, among others. The molecular docking validation results showed that Paeoniflorin, albiflorin, and benzoylpaeoniflorin and oxypaeoniflor all bind well to interleukin-6, epidermal growth factor receptor, and proto-oncogene tyrosine-protein kinase. This study reveals the multi-component, multi-target and multi-pathway mechanism of action of TGP in regulating AIT and provides a reference for subsequent basic research.

Mechanism of ShuiJingDan in Treating Acute Gouty Arthritis Flares Based on Network Pharmacology and Molecular Docking.

Purpose: This study examined the underlying mechanisms of SJD's anti-inflammatory and analgesic effects on acute GA flares. Methods: This study used pharmacology network and molecular docking methods. The active ingredients of ShuiJingDan (SJD) were obtained from the Traditional Chinese Medicine Systems Pharmacology Analysis Platform (TCMSP), and the relevant targets of GA were obtained from the Online Mendelian Inheritance in Man (OMIM) database and Therapeutic Target Database (TTD). The core drug group-target-disease Venn diagram was formed by crossing the active ingredients of SJD and the relevant targets. Gene Ontology (GO) analysis was conducted for functional annotation, DAVID was used for Kyoto Encyclopedia of Genes, and Genomes pathway enrichment analysis, and R was used to find the core targets. The accuracy of SJD network pharmacology analysis in GA treatment was verified by molecular docking simulations. Finally, a rat GA model was used to further verify the anti-inflammatory mechanism of SJD in the treatment of GA. Results: SJD mainly acted on target genes including IL1B, PTGS2, CXCL8, EGF, and JUN, as well as signal pathways including NF-κB, Toll-like receptor (TLR), IL-17, and MAPK. The rat experiments showed that SJD could significantly relieve ankle swelling, reduce the local skin temperature, and increased the paw withdrawal threshold. SJD could also reduce synovial inflammation, reduced the concentrations of interleukin-1ß (IL-1ß), IL-8, and COX-2 in the synovial fluid, and suppressed the expression of IL1B, CXCL8, and PTGS2 mRNA in the synovial tissue. Conclusion: SJD has a good anti-inflammatory effect to treat GA attacks, by acting on target genes such as IL-1ß, PTGS2, and CXCL8.

Network pharmacology identifies the inhibitory effect of Yiqiyangyinquyu prescription on salivary gland inflammation in Sjögren's syndrome.

This study aimed to explore the mode of action of Yiqiyangyinquyu prescription (YP) against Sjögren's syndrome (SS) by combining network pharmacology with molecular docking techniques. YP's active components and target proteins were identified using the BATMAN-traditional Chinese medicine database. Concurrently, targets associated with SS were extracted from databases, including Genecards, Online Mendelian Inheritance in Man, and Therapeutic Target Database. The standard targets were then imported into the STRING database to construct a protein-protein interaction network. We then conducted gene ontology and Kyoto encyclopedia of genes and genomes enrichment analyses, which were succeeded by molecular docking studies to validate core active components and key targets. Finally, in vitro experiments and molecular dynamics simulation were conducted to substantiate the therapeutic efficacy of YP in treating SS. A total of 206 intersection targets and 46 active compounds were identified. Gene ontology analysis unveiled that YP targets were primarily enriched in cellular responses to chemical stress, inflammation, and cell proliferation. Key enriched signaling pathways encompassed the interleukin 17, hypoxia-inducible factor-1, tumor necrosis factor (TNF-α), and advanced glycation end products-receptor for AGEs (AGE-RAGE) signaling pathways. Molecular docking results demonstrated high-affinity between neotanshinone C, tanshiquinone B, miltionone I, TNF-α, interleukin 1 beta (IL-1ß), and interleukin 6 (IL-6). Noteworthy, TNF-α, considered the most important gene in YP against SS, binds to YP most stably, which was further validated by molecular dynamics simulation. In vitro experiments confirmed YP's capacity to reduce TNF-α, IL-1ß, and IL-6 expression, effectively alleviating SS-related inflammation. YP demonstrated a significant anti-inflammatory effect by suppressing inflammatory cytokines (TNF-α, IL-6, and IL-1ß), providing experimental evidence for its clinical application in treating SS.

The mechanism of the Shuang Bai Su Qing recipe in treating periodontitis based on network pharmacology and molecular docking technology.

AIM: To explore the material basis of action of the Shuang Bai Su Qing recipe in the treatment of periodontitis using network pharmacology. METHODS: Using TCMSP, we screened the chemical components of 5 drugs. The components were input into the UniProt and PubChem databases to obtain target proteins; Genecards, Online Mendelian Inheritance in Man (OMIM), and CEO databases were used to screen target proteins for periodontal disease. The targets were imported into the Cytoscape software to obtain intersecting targets, and conduct visual analysis to build the PPI network. The intersecting targets were then input into the Matescape database and subjected to biological process (BP) analysis, molecular function (MF) analysis, cell component (CC) analysis, and KEGG enrichment analysis. RESULTS: Twenty-seven TCM chemical components were obtained, with 198 target proteins associated with drugs and 2587 target proteins for periodontitis. Ten core targets were identified. Gene Ontology (GO) functional enrichment analysis yielded results for 20 BP, 11 MF, and 10 CC. KEGG analysis revealed that the main mechanisms of action were related to MAPK signaling pathway. Molecular docking results showed that luteolin strongly bind to TNF, IL6, and IL1B target proteins. CONCLUSION: The mechanism underlying the treatment of periodontitis with the recipe formula may be closely related to multiple targets in the MAPK signaling pathway.

Exploring the mechanism of action of Qian Lie Xing Fang during the treatment of benign prostatic hyperplasia via network pharmacology and molecular dynamics simulation analyses.

This study aimed to explore the historical research progress on benign prostatic hyperplasia from the perspective of traditional Chinese medicine theory and the treatment of benign prostatic hyperplasia (BPH) with Qian Lie Xing Fang (QLXF) via the warming and tonifying of kidney yang, promotion of blood circulation, and clearing of meridians. First, network pharmacology analysis was used to screen and identify possible pathways for BPH treatment with QLXF. Subsequently, molecular docking analysis helped explore the mechanism of action by which the components of QLXF affected androgen receptor (AR) and type 5 phosphodiesterase inhibitor (PDE-5) levels. Targets for treatment with QLXF were identified from the online Mendelian inheritance in man and DisGeNET databases. BPH-related genes were identified using GeneCards and online Mendelian inheritance in man databases, and their intersection was used to construct a protein-protein interaction network analysis graph. Subsequently, gene ontology and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses were performed. The semiflexible docking of the ingredients of QLXF acting on the 2 targets was performed via molecular docking and molecular dynamics simulation, to elucidate the mechanism of action by which the active ingredients affect AR and PDE-5 levels further. This enabled us to explore the pattern of interactions between small active ingredient molecules, the target protein, and the stability after binding at the microscopic level. Gene ontology enrichment analysis showed that QLXF affected several processes, such as DNA transcription factor binding, kinase binding, protein homodimerization activity, protein structure domain-specific binding, and protein-coupled amine receptor activity in BPH patients. KEGG results showed that chemical carcinogenic reactive oxidative species and the JAK-STAT, Pl3k-Akt, FoxO, NF-κB, and other pathways were significantly enriched. Conducting molecular docking studies to investigate the interaction of active components from QLXF with AR and PDE-5, it was found that MOL002260 may possess the potential to inhibit PDE-5 activity, while MOL010578 may exhibit the capability to inhibit AR activity. QLXF is closely associated with various biological processes and KEGG signaling pathways related to BPH. The active ingredients of QLXF were investigated for their interactions with AR and PDE-5, with a primary focus on the small molecules MOL002260 and MOL010578.

Molecular mechanism of Ruxian Shuhou prescription in the treatment of triple-negative breast cancer based on network pharmacology.

We aimed to explore the molecular mechanism of Ruxian Shuhou prescription in the treatment of triple-negative breast cancer (TNBC) by using network pharmacology. The active components and targets of the prescription were obtained by Traditional Chinese medicine systems pharmacology database. Gencards database, online mendelian inheritance in man database, therapeutic target database, and DRUGBANK database were used to search for the TNBC-related targets. The potential targets of Ruxian Shuhou prescription for TNBC were screened out by the intersection of effective ingredient action targets and disease targets. A herb-active ingredient-target network was constructed and analyzed for key ingredients. A protein-protein interaction network was constructed for studying key targets. Furthermore, gene ontology analysis and Kyoto encyclopedia of genes and genomes pathway enrichment analysis were carried out. Finally, the relationship between key ingredients and key genes was evaluated by molecular docking. The key ingredients of Ruxian Shuhou prescription for the treatment of TNBC may be Quercetin, Luteolin and Kaempferol, while the key therapeutic targets may be protein kinase B, interleukin-6, cellular tumor antigen p53, and vascular endothelial growth factor A. The related signaling pathways were mainly involved in tumor, apoptosis and virus infection, among which the PI3K-Akt signaling pathway was the most closely related to TNBC. Molecular docking showed that the key ingredients had high binding activity with the key targets. The molecular mechanisms of Ruxian Shuhou prescription for TNBC are likely to involve multi-ingredient, multi-target and multi-pathway.

Combining network pharmacology, molecular docking, molecular dynamics simulation, and experimental verification to examine the efficacy and immunoregulation mechanism of FHB granules on vitiligo.

Background: Fufang Honghua Buji (FHB) granules, have proven efficacy against vitiligo in long-term clinical practice. However, its major active chemical components and molecular mechanisms of action remain unknown. The purpose of this study was to confirm the molecular mechanism of FHB's therapeutic effect on vitiligo utilizing network pharmacology, molecular docking, and molecular dynamics simulation prediction, as well as experimental verification. Methods: Traditional Chinese Medicine Systems Pharmacology (TCMSP) and HERB databases were used to obtain the chemical composition and action targets of FHB. Online Mendelian Inheritance in Man (OMIM), DrugBank, DisGeNET, GeneCards, and Therapeutic Target Database (TTD) databases were applied to screen for vitiligo-related targets. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed through the Matascape database. Molecular docking and dynamics simulation methods were for the analysis of the binding sites and binding energies between the FHB's active components and the targets. Finally, a vitiligo mouse model was created, and the therapeutic effect and molecular mechanism of action of FHB were validated using enzyme linked immunosorbent assay (ELISA), western blot (WB), and quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Additionally, hematoxylin-eosin staining (HE) and blood biochemical assays were conducted to assess the biosafety of FHB. Result: The screening of chemical composition and targets suggested that 94 genetic targets of FHB were associated with vitiligo. The bioinformatics analysis suggested that luteolin, quercetin, and wogonin may be major active components, and nuclear factor-kappa B p65 subunit (RELA), signal transducer, and activator of transcription (STAT) 3 and RAC-alpha serine/threonine-protein kinase (AKT) 1 may be potential targets of FHB-vitiligo therapy. Molecular docking and dynamics simulation further demonstrated that luteolin, quercetin, and wogonin all bound best to STAT3. Through experimental verification, FHB has been demonstrated to alleviate the pathogenic characteristics of vitiligo mice, suppress the JAK-STAT signaling pathway, reduce inflammation, and increase melanogenesis. The in vivo safety evaluation experiments also demonstrated the non-toxicity of FHB. Conclusions: FHB exerts anti-inflammatory and melanogenesis-promoting effects via the effect of multi-component on multi-target, among which the JAK-STAT pathway is a validated FHB-vitiligo target, providing new ideas and clues for the development of vitiligo therapy.

Integrated network pharmacology to investigate the mechanism of Salvia miltiorrhiza Bunge in the treatment of myocardial infarction.

Salvia miltiorrhiza Bunge is a natural drug for treating myocardial infarction (MI). However, the targets and mechanisms of S. miltiorrhiza Bunge in the treatment of MI are yet to be elucidated. Traditional Chinese medicine systems pharmacology (TCMSP) data were used to screen out chemical constituents, and UniProt was used to predict relevant targets. Disease targets were obtained from the Online Mendelian Inheritance in Man and GeneCards databases. We used the STRING platform to build a protein-protein interaction network and used Cytoscape_v3.8.1 software to make a Drug-Ingredients-Gene Symbols-Disease network map. The Metascape database was used to perform gene ontology and Kyoto Encyclopaedia of Genes and Genomes (KEGG) enrichment analyses for drug-disease overlapping gene symbols. The targets identified by network pharmacology were further verified by in vitro and in vivo experiments. Seventy-five active components of S. miltiorrhiza Bunge were obtained from the TCMSP database, while 370 disease targets and 29 cross-targets were obtained from the Genecards database. The KEGG pathway enrichment results suggested that the mechanism of S. miltiorrhiza Bunge in the treatment of MI was significantly related to the VEGF signalling pathway. In vitro and in vivo experiments were used to evaluate the reliability of some important active ingredients and targets. S. miltiorrhiza Bunge alleviated the damage to cardiac function, attenuated myocardial fibrosis and protected endothelial cell function by increasing the expression of TGF-ß and VEGFA. S. miltiorrhiza Bunge showed the therapeutic effect of MI by promoting the expression of VEGFA signalling pathway, providing a reliable basis for exploring herbal treatment of MI.