Exploring the active components and potential mechanisms of Alpiniae oxyphyllae Fructus in treating diabetes mellitus with depression by UPLC-Q-Exactive Orbitrap/MS, network pharmacology and molecular docking.

The growing incidence of diabetes mellitus (DM) and depression is a global public health issue. Alpiniae oxyphyllae Fructus (AOF) is a kind of medicinal and edible plant which be found with anti-diabetic property, and could improve depression-like symptoms. This study aimed to screen active targets and potential mechanisms of AOF in treating DM with depression. Injection of streptozotocin (STZ) and exposure to chronic unpredictable mild stress (CUMS) for 4 weeks were used to conduct the DM with depression mice model. Behavioral tests, indexes of glucose metabolism, monoamine neurotransmitters, inflammatory cytokine and oxidative stress were measured. Histopathological change of hippocampus tissue was observing by HE and Nissl staining. UPLC-Q-Exactive Orbitrap/MS, network pharmacology and molecular docking were used to explore the chemical components and mechanisms of AOF on the DM with depression. AOF showed a reversed effect on body weight in DM with depression mice. Glucose metabolism and insulin resistance could be improved by treatment of AOF. In addition, AOF could alleviate depression-like behaviors based on the results of behavior tests and monoamine neurotransmitters. AOF also attenuated STZ-CUMS induced neuron injury in hippocampus. Next, a total of 61 chemical components were identified in the UPLC-Q-Exactive Orbitrap/MS analysis of the extract of AOF. Network pharmacology analysis suggested that 12 active components and 227 targets were screened from AOF, and 1802 target genes were screened from DM with depression, finally 126 intersection target genes were obtained. Drug-disease targets network was constructed and implied that the top five components with a higher degree value includes quercetin, nootkatone, baicalein, (-)-epicatechin and nootkatol. Protein-protein interaction (PPI) network showed that MAPK1, FOS, AKT1, IL6 and TP53 may be the core intersection targets. The mechanism of the effect of AOF on DM with depression was analyzed through gene ontology (GO), and kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis, mainly involved in AGE/RAGE, PI3K/AKT, and MAPK signaling pathways. The results of molecular docking indicated that quercetin, nootkatone, baicalein, (-)-epicatechin and nootkatol all had good binding to the core intersection targets. Overall, our experimental researches have demonstrated that AOF could exert the dual effects of anti-diabetic and anti-depression on DM with depression mice, through multi-targets and multi-pathways.

Mechanism Analysis of Selenium-Containing Compounds in Alleviating Spinal Cord Injury Based on Network Pharmacology and Molecular Docking Technology.

Spinal cord injury (SCI) is a severe traumatic condition in spinal surgery characterized by nerve damage in and below the injured area. Despite advancements in understanding the pathophysiology of SCI, effective clinical treatments remain elusive. Selenium compounds have become a research hotspot due to their diverse medicinal activities. Previously, our group synthesized a selenium-containing Compound 34# with significant anti-inflammatory activity. This study aimed to explore the anti-SCI effects of selenium-containing compounds using network pharmacology, molecular docking (MD), and ADMET methods. To identify SCI-related targets and those associated with 34#, GeneCards, NCBI, and SEA databases were employed. Eight overlapping targets were considered candidate targets, and molecular docking was performed using the PDB database and AutoDock software. The STRING database was used to obtain protein-protein interactions (PPI). Molecular dynamics simulation, MM/GBSA binding free energy score, and ADMET prediction were used to evaluate the potential targets and drug properties of 34#. Finally, experiments on NSC34 cells and mice were to verify the effects of 34# on SCI. Our results revealed eight candidate targets for 34# in the treatment of SCI. PPI and MD identified ADRB2 and HTR1F as the highest connectivity with 34#. ADMET analysis confirmed the low toxicity and safety of 34#. In vitro and in vivo models validated the anti-SCI effects. Our study elucidated candidate targets for alleviating SCI with 34#, explored PPI and target-related signaling pathways, and validated its anti-SCI effects. These findings enhance our understanding of 34#'s mechanism in treating SCI, positioning it as a potential candidate for SCI prevention.

Integration of Gut Microbiota, Serum Metabolomic, and Network Pharmacology to Reveal the Anti Insomnia Mechanism of Mongolian Medicine Sugemule-4 Decoction on Insomnia Model Rats.

Objective: To explored the potential molecular mechanism of Sugemule-4 decoction (MMS-4D) in treating insomnia. Methods: DL-4-chlorophenylalanine (PCPA) + chronic unpredictable mild stress stimulation (CUMS) was used to induce an insomnia model in rats. After the model was successfully established, MMS-4D was intervened at low, medium, and high doses for 7 days. The open-field test (OFT) was used to preliminarily evaluate the efficacy. The potential mechanism of MMS-4D in treating insomnia was investigated using gut microbiota, serum metabolomics, and network pharmacology (NP). Experimental validation of the main components of the key pathways was carried out using ELISA and Western blot. Results: The weights of the insomnia-model rats were significantly raised (p ≤ 0.05), the total exercise distance in the OFT increased (p ≤ 0.05), the rest time shortened, and the number of standing times increased (p ≤ 0.05), after treatment with MMS-4D. Moreover, there was a substantial recovery in the 5-HT, DA, GABA, and Glu levels in the hypothalamus tissue and the 5-HT and GABA levels in the colon tissue of rats. The expression of DAT and DRD1 proteins in the hippocampus of insomnia rats reduced after drug treatment. MMS-4D may treat insomnia by regulating different crucial pathways including 5-HT -, DA -, GABA -, and Glu-mediated neuroactive light receiver interaction, cAMP signaling pathway, serotonergic, glutamatergic, dopaminergic, and GABAergic synapses. Conclusion: This study revealed that MMS-4D can improve the general state and behavioral changes of insomnia model rats. Its mechanism may be related to the reversal of abnormal pathways mediated by 5-HT, DA, GABA, and Glu, such as Serotonergic synapse, Dopaminergic synapse, Glutamatergic synapse, and GABAergic synapse.

Morroniside attenuates podocytes lipid deposition in diabetic nephropathy: A network pharmacology, molecular docking and experimental validation study.

BACKGROUND: Dysregulation of lipid metabolism is a key factor influencing the progression of diabetic nephropathy (DN). Morroniside (MOR) is a major active compound isolated from the traditional Chinese herb Cornus officinalis, our previous research found that it can improve the lipid deposition of renal tubular epithelial cells. The purpose of this study is to explore whether MOR can improve podocyte lipid deposition and its mechanism of reducing DN. METHODS: Initially, we used network pharmacology and bioinformatics techniques to predict the relationship between renal lipid metabolism of MOR and DN. Subsequently, the binding activity of MOR with lipid-related proteins was studied by molecular docking to determine how MOR acts through these proteins. After determining the target of MOR, animal experiments and cell tests were carried out to verify it. RESULTS: Using network pharmacology, bioinformatics, and molecular docking, target proteins for MOR treatment of DN were predicted and screened, including PGC-1α, LXRs, ABCA1, PPARY, CD36, and nephrin. It is particularly noted that MOR effectively binds to PGC-1α, while LXRs, ABCA1, PPARY and CD36 are downstream molecules of PGC-1α. Silencing the PGC-1α gene significantly reduced the therapeutic effects of MOR. Conversely, in groups without PGC-1α knockdown, MOR was able to increase the expression levels of PGC-1α and influence the expression of downstream proteins. Furthermore, through in vivo and in vitro experiments, utilizing techniques such as lipid droplet staining, PAS, MASSON staining, immunofluorescence, and Western blot, we found that MOR effectively elevated the expression levels of the podocyte protein nephrin and lipid metabolism-regulating proteins PGC-1α, PPARY, and ABCA1, while significantly inhibiting the expression of the lipid accumulation promoter CD36. CONCLUSION: MOR can regulate the cholesterol efflux in podocytes via the PGC-1α/LXRs/ABCA1 signaling pathway, and control cholesterol intake via the PGC-1α/PPARY/CD36 signaling pathway, thereby ameliorating lipid deposition in DN.

The investigation of potential mechanism of Fuzhengkangfu Decoction against Diabetic myocardial injury based on a combined strategy of network pharmacology, transcriptomics, and experimental verification.

BACKGROUND AND OBJECTIVES: Diabetic cardiomyopathy (DCM) is a cardiac condition resulting from myocardial damage caused by diabetes mellitus (DM), currently lacking specific therapeutic interventions. Fuzhengkangfu decoction (FZK) plays an important role in the prevention and treatment of various cardiovascular diseases. However, the efficacy and potential mechanisms of FZK are not fully understood. This study aims to investigate the protective effect and mechanisms of FZK against DCM. METHODOLOGIES: Rats were given a high-calorie diet along with a low dosage of streptozotocin (STZ) to establish a rat model of DCM. The diabetic rats received FZK or normal saline subcutaneously for 12 weeks. Echocardiography was conducted to evaluate their heart function characteristics. Rat heart morphologies were assessed using Sirius Red staining and H&E staining. Transcriptome sequencing analysis and network pharmacology were used to reveal possible targets and mechanisms. Molecular docking was conducted to validate the association between the primary components of FZK and the essential target molecules. Finally, both in vitro and in vivo studies were conducted on the cardioprotective properties and mechanism of FZK. RESULTS: According to the results of network pharmacology, FZK may prevent DCM by reducing oxidative stress and preventing apoptosis. Transcriptomics confirmed that FZK protected against DCM-induced myocardial fibrosis and remodelling, as predicted by network pharmacology, and suggested that FZK regulated the expression of oxidative stress and apoptosis-related proteins. Integrating network pharmacology and transcriptome analysis results revealed that the AGE-RAGE signalling pathway-associated MMP2, SLC2A1, NOX4, CCND1, and CYP1A1 might be key targets. Molecular docking showed that Poricoic acid A and 5-O-Methylvisammioside had the highest docking activities with these targets. We further conducted in vivo experiments, and the results showed that FZK significantly attenuated left ventricular remodelling, reduced myocardial fibrosis, and improved cardiac contractile function. And, our study demonstrated that FZK effectively reduced oxidative stress and apoptosis of cardiomyocytes. The data showed that Erk, NF-κB, and Caspase 3 phosphorylation was significantly inhibited, and Bcl-2/Bax was significantly increased after FZK treatment. In vitro, FZK significantly reduced AGEs-induced ROS increase and apoptosis in cardiomyocytes. Furthermore, FZK significantly inhibited the phosphorylation of Erk and NF-κB proteins and decreased the expression of MMP2. All the results confirmed that FZK inhibited the activation of the Erk/NF-κB pathway in AGE-RAGE signalling and alleviated oxidative stress and apoptosis of cardiomyocytes. In summary, we verified that FZK protects against DCM by inhibiting myocardial apoptotic remodelling through the suppression of the AGE-RAGE signalling pathway. CONCLUSION: In conclusion, our research indicates that FZK demonstrates anti-cardiac dysfunction properties by reducing oxidative stress and cardiomyocyte apoptosis through the AGE-RAGE pathway in DCM, showing potential for therapeutic use.

Distribution of the active components from Xianglian Pill in tissues of healthy and antibiotic-associated diarrhea model mice and the mechanism study.

Antibiotic-associated diarrhea (AAD) is a common side effect of antibiotic therapy, characterized by intestinal inflammation which reduces the quality of life of patients. Xianglian Pill (XLP) has long been used to treat abdominal pain, diarrhea, bacillary dysentery and enteritis. Studies found that XLP has curative effect on AAD; however, the chemical constituents and mechanism of XLP have not been fully elucidated because of the lack of in vitro and in vivo studies. In this study, ultra-high performance liquid chromatography mass spectrometry method (UPLC-Q-Exactive-Orbitrap-HRMS) was used to examine the components of the XLP. Then, the binding between active compounds and the key targets was studied using network pharmacology and molecular docking. A comparative tissue distribution study was established for the simultaneous determination of the 10 active components in healthy and AAD mouse models. Forty-six components were characterized from XLP. According to the network pharmacology degree value, a prediction was made that encompassed 42 components and 14 core targets, which were intricately involved in crucial biological pathways, such as the AGE-RAGE signaling, cellular senescence, and MAPK signaling. Tissue distribution analysis showed that the 10 components were widely distributed in the heart, liver, spleen, lungs, kidneys, small intestine, and large intestine of mice, with varying concentrations in healthy and AAD mice. Molecular docking analysis also indicated that the active compounds in the tissue distribution could bind tightly to key targets of network pharmacological studies. This study provides a reference for further investigations of the relationships between the chemical components and pharmacological activities of XLP.

Molecular Mechanism of Cynodon dactylon Phytosterols Targeting MAPK3 and PARP1 to Combat Epithelial Ovarian Cancer: A Multifaceted Computational Approach.

Epithelial Ovarian Cancer (EOC) presents a global health concern, necessitating the development of innovative therapeutic strategies to combat its impact. This study was employed to investigate the unexplored therapeutic efficacy of Cynodon dactylon phytochemicals against EOC using a multifaceted computational approach. A total of 19 out of 89 rigorously curated phytochemicals were assessed as potential drug targets via ADMET profiling, while protein-protein interaction analysis scrutinized the top 20 hub genes among 264 disease targets, revealing their involvement in cancer-related pathways and underscoring their significance in EOC pathogenesis. In molecular docking, Stigmasterol acetate showed the highest binding affinity (-10.9 kcal/mol) with Poly [ADP-ribose] polymerase-1 (PDB: 1UK1), while Arundoin and Beta-Sitosterol exhibited strong affinities (-10.4 kcal/mol and -10.1 kcal/mol, respectively); additionally, Beta-Sitosterol interacting with Mitogen-activated protein kinase 3 (PDB: 4QTB) showed a binding affinity of -10.1 kcal/mol, forming 2 hydrogen bonds and a total of 10 bonds with 10 residues. Molecular dynamics simulations exhibited the significant structural stability of the Beta-Sitosterol-4QTB complex with superior binding free energy (-36.61 kcal/mol) among the three complexes. This study identified C. dactylon phytosterols, particularly Beta-Sitosterol, as effective in targeting MAPK3 and PARP1 to combat EOC, laying the groundwork for further experimental validation and drug development efforts.

Exploring the mechanism of Si-Miao-Yong-An decoction on heart failure based on molecular docking and network pharmacology.

The SwissTargetPrediction was employed to predict the potential drug targets of the active component of Si-Miao-Yong-An decoction (SMYAD). The therapeutic targets for HF were searched in the Genecard database, and Cytoscape3.9.1 software was used to construct the "drug-component-target-disease network" diagram. In addition, the String platform was used to construct Protein-Protein Interaction (PPI) network, and the DAVID database was used for GO and KEGG analysis. AutoDockTools-1.5.6 software was used for molecular docking verification. Network pharmacology studies have shown that AKT 1, ALB, and CASP 3 are the key targets of action of SMYAD against heart failure. The active compounds are quercetin and kaempferol.

An update on the novel methods for the discovery of antiseizure and antiepileptogenic medications: where are we in 2024?

INTRODUCTION: Despite the availability of around 30 antiseizure medications, 1/3 of patients with epilepsy fail to become seizure-free upon pharmacological treatment. Available medications provide adequate symptomatic control in two-thirds of patients, but disease-modifying drugs are still scarce. Recently, though, new paradigms have been explored. AREAS COVERED: Three areas are reviewed in which a high degree of innovation in the search for novel antiseizure and antiepileptogenic medications has been implemented: development of novel screening approaches, search for novel therapeutic targets, and adoption of new drug discovery paradigms aligned with a systems pharmacology perspective. EXPERT OPINION: In the past, worldwide leaders in epilepsy have reiteratively stated that the lack of progress in the field may be explained by the recurrent use of the same molecular targets and screening procedures to identify novel medications. This landscape has changed recently, as reflected by the new Epilepsy Therapy Screening Program and the introduction of many in vitro and in vivo models that could possibly improve our chances of identifying first-in-class medications that may control drug-resistant epilepsy or modify the course of disease. Other milestones include the study of new molecular targets for disease-modifying drugs and exploration of a systems pharmacology perspective to design new drugs.

Apigenin inhibits proliferation and differentiation of cardiac fibroblasts through AKT/GSK3ß signaling pathway.

ETHNOPHARMACOLOGICAL RELEVANCE: Salvia miltiorrhiza Bunge (S. miltiorrhiza) is an important Traditional Chinese herbal Medicine (TCM) used to treat cardio-cerebrovascular diseases. Based on the pharmacodynamic substance of S. miltiorrhiza, the aim of present study was to investigate the underlying mechanism of S. miltiorrhiza against cardiac fibrosis (CF) through a systematic network pharmacology approach, molecular docking and dynamics simulation as well as experimental investigation in vitro. MATERIALS AND METHODS: A systematic pharmacological analysis was conducted using the Traditional Chinese Medicine Pharmacology (TCMSP) database to screen the effective chemical components of S. miltiorrhiza, then the corresponding potential target genes of the compounds were obtained by the Swiss Target Prediction and TCMSP databases. Meanwhile, GeneCards, DisGeNET, OMIM, and TTD disease databases were used to screen CF targets, and a protein-protein interaction (PPI) network of drug-disease targets was constructed on S. miltiorrhiza/CF targets by Search Tool for the Retrieval of Interacting Genes/Proteins (STING) database. After that, the component-disease-target network was constructed by software Cytoscape 3.7. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed for the intersection targets between drug and disease. The relationship between active ingredient of S. miltiorrhiza and disease targets of CF was assessed via molecular docking and molecular dynamics simulation. Subsequently, the underlying mechanism of the hub compound on CF was experimentally investigated in vitro. RESULTS: 206 corresponding targets to effective chemical components from S. miltiorrhiza were determined, and among them, there were 82 targets that overlapped with targets of CF. Further, through PPI analysis, AKT1 and GSK3ß were the hub targets, and which were both enriched in the PI3K/AKT signaling pathway, it was the sub-pathways of the lipid and atherosclerosis pathway. Subsequently, compound-disease-genes-pathways diagram is constructed, apigenin (APi) was a top ingredients and AKT1 (51) and GSK3ß (22) were the hub genes according to the degree value. The results of molecular docking and dynamics simulation showed that APi has strong affinities with AKT and GSK3ß. The results of cell experiments showed that APi inhibited cells viability, proliferation, proteins expression of α-SMA and collagen I/III, phosphorylation of AKT1 and GSK3ß in MCFs induced by TGFß1. CONCLUSION: Through a systematic network pharmacology approach, molecular docking and dynamics simulation, and confirmed by in vitro cell experiments, these results indicated that APi interacts with AKT and GSK3ß to disrupt the phosphorylation of AKT and GSK3ß, thereby inhibiting the proliferation and differentiation of MCFs induced by TGFß1, which providing new insights into the pharmacological mechanism of S. miltiorrhiza in the treatment of CF.

Renshen Yangrong decoction for secondary malaise and fatigue: network pharmacology and Mendelian randomization study.

Background: Renshen Yangrong decoction (RSYRD) has been shown therapeutic effects on secondary malaise and fatigue (SMF). However, to date, its bioactive ingredients and potential targets remain unclear. Purpose: The purpose of this study is to assess the potential ingredients and targets of RSYRD on SMF through a comprehensive strategy integrating network pharmacology, Mendelian randomization as well as molecular docking verification. Methods: Search for potential active ingredients and corresponding protein targets of RSYRD on TCMSP and BATMAN-TCM for network pharmacology analysis. Mendelian randomization (MR) was performed to find therapeutic targets for SMF. The eQTLGen Consortium (sample sizes: 31,684) provided data on cis-expression quantitative trait loci (cis-eQTL, exposure). The summary data on SMF (outcome) from genome-wide association studies (GWAS) were gathered from the MRC-IEU Consortium (sample sizes: 463,010). We built a target interaction network between the probable active ingredient targets of RSYRD and the therapeutic targets of SMF. We next used drug prediction and molecular docking to confirm the therapeutic value of the therapeutic targets. Results: In RSYRD, network pharmacology investigations revealed 193 possible active compounds and 234 associated protein targets. The genetically predicted amounts of 176 proteins were related to SMF risk in the MR analysis. Thirty-seven overlapping targets for RSYRD in treating SMF, among which six (NOS3, GAA, IMPA1, P4HTM, RB1, and SLC16A1) were prioritized with the most convincing evidence. Finally, the 14 active ingredients of RSYRD were identified as potential drug molecules. The strong affinity between active components and putative protein targets was established by molecular docking. Conclusion: This study revealed several active components and possible RSYRD protein targets for the therapy of SMF and provided novel insights into the feasibility of using Mendelian randomization for causal inference between Chinese medical formula and disease.

Study on the molecular mechanisms of Liuwei Dihuang decoction against aging-related cognitive impairment based on network pharmacology and experimental verification.

Objective: Based on network pharmacology and experimental validation, this study aimed to screen the potential targets of Liuwei Dihuang decoction (LW) against mild cognitive impairment (MCI). Methods: Based on network pharmacology, this study preliminarily explored the targets and molecular mechanisms of LW in the treatment of MCI. The results showed that the mechanism of action of LW against MCI may be related to the cAMP pathway. Then, an aging cell and animal model was established to further verify its molecular mechanism. Results: A total of 23 active ingredients were identified in LW. In addition, through network pharmacological analysis, we found 22 anti-MCI active ingredients in LW, of which alisol B had the most significant effect, and predicted the potential mechanism pathway by which LW may improve MCI through the cAMP signaling pathway. Further in vivo and in vitro experiments confirmed that LW can alleviate cognitive dysfunction in aging mice and reduce D-galactose-induced senescent cells, which may be through activation of the cAMP/PKA/CREB signaling pathway. Conclusion: This study found that the traditional Chinese medicine formula LW may play a role in improving MCI by regulating the cAMP/PKA/CREB signaling pathway, which provides a reference for further clinical research on the anti-MCI effect of LW and its molecular mechanism.

Network pharmacology- and cell-based assessments identify the FAK/Src pathway as a molecular target for the antimetastatic effect of momordin Ic against cholangiocarcinoma.

Previous studies have indicated the efficacy of momordin Ic (MIc), a plant-derived triterpenoid, against several types of cancers, implying its potential for further development. However, comprehensive insights into the molecular mechanisms and targets of MIc in cholangiocarcinoma (CCA) are lacking. This study aimed to investigate the actions of MIc against CCA at the molecular level. Network pharmacology analysis was first employed to predict the mechanisms and targets of MIc. The results unveiled the potential involvement of MIc in apoptosis and cell migration, pinpointing Src and FAK as key targets. Subsequently, cell-based assays, in accordance with FAK/Src-associated metastasis, were conducted, demonstrating the ability of MIc to attenuate the metastatic behaviours of KKU-452 cells. The in vitro results further indicated the capability of MIc to suppress the epithelial-mesenchymal transition (EMT) process, notably by downregulating EMT regulators, including N-cadherin, vimentin, ZEB2 and FOXC1/2 expression. Furthermore, MIc suppressed the activation of the FAK/Src signalling pathway, influencing critical downstream factors such as MMP-9, VEGF, ICAM-1, and c-Myc. Molecular docking simulations also suggested that MIc could interact with FAK and Src domains and restrain kinases from being activated by hindering ATP binding. In conclusion, this study employs a comprehensive approach encompassing network pharmacology analysis, in vitro assays, and molecular docking to unveil the mechanisms and targets of MIc in CCA. MIc mitigates metastatic behaviours and suppresses key pathways, offering a promising avenue for future therapeutic strategies against this aggressive cancer.

Deciphering the shared mechanisms of Gegen Qinlian Decoction in treating type 2 diabetes and ulcerative colitis via bioinformatics and machine learning.

Background: Although previous clinical studies and animal experiments have demonstrated the efficacy of Gegen Qinlian Decoction (GQD) in treating Type 2 Diabetes Mellitus (T2DM) and Ulcerative Colitis (UC), the underlying mechanisms of its therapeutic effects remain elusive. Purpose: This study aims to investigate the shared pathogenic mechanisms between T2DM and UC and elucidate the mechanisms through which GQD modulates these diseases using bioinformatics approaches. Methods: Data for this study were sourced from the Gene Expression Omnibus (GEO) database. Targets of GQD were identified using PharmMapper and SwissTargetPrediction, while targets associated with T2DM and UC were compiled from the DrugBank, GeneCards, Therapeutic Target Database (TTD), DisGeNET databases, and differentially expressed genes (DEGs). Our analysis encompassed six approaches: weighted gene co-expression network analysis (WGCNA), immune infiltration analysis, single-cell sequencing analysis, machine learning, DEG analysis, and network pharmacology. Results: Through GO and KEGG analysis of weighted gene co-expression network analysis (WGCNA) modular genes and DEGs intersection, we found that the co-morbidity between T2DM and UC is primarily associated with immune-inflammatory pathways, including IL-17, TNF, chemokine, and toll-like receptor signaling pathways. Immune infiltration analysis supported these findings. Three distinct machine learning studies identified IGFBP3 as a biomarker for GQD in treating T2DM, while BACE2, EPHB4, and EPHA2 emerged as biomarkers for GQD in UC treatment. Network pharmacology revealed that GQD treatment for T2DM and UC mainly targets immune-inflammatory pathways like Toll-like receptor, IL-17, TNF, MAPK, and PI3K-Akt signaling pathways. Conclusion: This study provides insights into the shared pathogenesis of T2DM and UC and clarifies the regulatory mechanisms of GQD on these conditions. It also proposes novel targets and therapeutic strategies for individuals suffering from T2DM and UC.

Icariside II in NSCLC and COVID-19: Network pharmacology and molecular docking study.

BACKGROUND: Patients with non-small cell lung cancer (NSCLC) are susceptible to coronavirus disease-2019 (COVID-19), but current treatments are limited. Icariside II (IS), a flavonoid compound derived from the plant epimedin, showed anti-cancer,anti-inflammation and immunoregulation effects. The present study aimed to evaluate the possible effect and underlying mechanisms of IS on NSCLC patients with COVID-19 (NSCLC/COVID-19). METHODS: NSCLC/COVID-19 targets were defined as the common targets of NSCLC (collected from The Cancer Genome Atlas database) and COVID-19 targets (collected from disease database of Genecards, OMIM, and NCBI). The correlations of NSCLC/COVID-19 targets and survival rates in patients with NSCLC were analyzed using the survival R package. Prognostic analyses were performed using univariate and multivariate Cox proportional hazards regression models. Furthermore, the targets in IS treatment of NSCLC/COVID-19 were defined as the overlapping targets of IS (predicted from drug database of TMSCP, HERBs, SwissTarget Prediction) and NSCLC/COVID-19 targets. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis of these treatment targets were performed aiming to understand the biological process, cellular component, molecular function and signaling pathway. The hub targets were analyzed by a protein-protein interaction network and the binding capacity with IS was characterized by molecular docking. RESULTS: The hub targets for IS in the treatment of NSCLC/COVID-19 includes F2, SELE, MMP1, MMP2, AGTR1 and AGTR2, and the molecular docking results showed that the above target proteins had a good binding degree to IS. Network pharmacology showed that IS might affect the leucocytes migration, inflammation response and active oxygen species metabolic process, as well as regulate the interleukin-17, tumor necrosus factor and hypoxia-inducible factor-1 signaling pathway in NSCLC/COVID-19. CONCLUSIONS: IS may enhance the therapeutic efficacy of current clinical anti-inflammatory and anti-cancer therapy to benefit patients with NSCLC combined with COVID-19.

Profiling the volatile compounds of Peganum harmala L. Based on multiple sample preparation coupled with gas chromatography-mass spectrometry analysis and explored its antidepressants-like activity.

Peganum harmala L., a traditional medicinal plant in China, is renowned for its significant alkaloid content in seeds and roots exhibiting a wide range of pharmacological activities, including antidepressant, antiseptic, and antiviral. However, the volatile composition of the herb remained unclear. Apart from that, the extraction of volatile compounds through essential oil presents challenges due to the low yield and the degradation of volatile active compounds at high temperatures. This study used multiple sample preparation methods including headspace (HS), needle trap device (NTD), and liquid-liquid extraction (LLE) coupled with gas chromatography-mass spectrometry (GC-MS) to analyze the volatile compounds from the areal part of P. harmala L.. A total of 93 compounds were identified with NTD facilitating the first detection of harmine among the volatile organic compounds. Through network pharmacology and protein interaction analysis, the compounds' potential therapeutic targets of the compounds were explored, and 23 key targets were obtained (AKT1, ALB, PTGS2, MAOA, etc). KEGG pathway enrichment analysis indicated significant involvement in neuroactive ligand-receptor interactions and serotonergic synapses. The results enhanced the understanding of P. harmala's pharmacological mechanisms and supported its ethnopharmacological use.

Tianhe Zhuifeng Gao reverses inflammatory response and attenuates bone/cartilage destruction in rheumatoid arthritis via PSMC2-RUNX2-COL1A1 axis based on transcriptional regulatory network analysis and experimental validation.

BACKGROUND: Tianhe Zhuifeng Gao (TZG) is an authorized Chinese patent drug with satisfying clinical efficacy, especially for RA patients with cold-dampness syndrome. However, its underlying pharmacological mechanisms remain unclear. METHOD: Anti-arthritic effects of TZG were evaluated using an adjuvant-induced arthritis (AIA) rat model. Transcriptional regulatory network analysis based on synovial tissues obtained from AIA rats, combining with our previous analysis based on whole blood samples from RA patients with cold-dampness syndrome and co-immunoprecipitation were performed to identify involved dominant pathways, which were experimentally verified using AIA-wind-cold-dampness stimulation modified (AIA-M) animal model. RESULTS: TZG treatment dramatically attenuated joint injury and inflammatory response in AIA rats, and PSMC2-RUNX2-COL1A1 axis, which was closely associated with bone/cartilage damage, was inferred to be one of therapeutic targets of TZG against RA. Experimentally, TZG displayed obvious pharmacological effects for alleviating the joint inflammation and destruction through reinstating the body weight, reducing the arthritis score, the limbs diameters, the levels of RF and CRP, and the inflammatory cytokines, recovering the thymus and spleen indexes, diminishing bone and cartilage destruction, as well elevating the pain thresholds of AIA-M rats. In addition, TZG markedly reversed the abnormal energy metabolism in AIA-M rats through enhancing articular temperature, daily water consumption, and regulating expression levels of energy metabolism parameters and hormones. Moreover, TZG also significantly modulated the abnormal expression levels of PSMC2, RUNX2 and COL1A1 proteins in the ankle tissues of AIA-M rats. CONCLUSION: TZG may exert the bone protective effects in RA therapy via regulating bone and cartilage damage-associated PSMC2-RUNX2-COL1A1 axis.

Exploring the pharmacological mechanisms of the flower of Rhododendron molle in rheumatoid arthritis rats based on metabolomics integrated network pharmacology.

ETHNOPHARMACOLOGICAL RELEVANCE: As a traditional Chinese medicine, the flower of Rhododendron molle G. Don (RMF) is record in the Chinese pharmacopoeia, and is commonly utilized for treating rheumatoid arthritis (RA) in clinical practice. However, its precise mechanisms necessitate further exploration. AIM OF THE STUDY: To expound the effective components, targets, metabolites, and pathways participated in RMF's anti-RA effects by metabolomics integrated network pharmacology. MATERIALS AND METHODS: CIA rats were intragastric administered RMF for 2 weeks, following which the therapeutic effects were comprehensively evaluated. Serum metabolomics was adopted to investigate the differential metabolites (DEMs). UHPLC-Q-Exactive-MS method was applied to identify the components of RMF, and then network pharmacology was utilize to select the component-RA-targets. Molecular docking and Western blotting were utilized to validate the key targets. RESULTS: RA symptoms were alleviated by RMF through the inhibition secretion of pro-inflammatory factors IL-1ß, IL-6 and TNF-α, along with relief in bone destruction observed in CIA rats. Four targets, namely AKR1B1, TPH1, CYP1A1, and CYP1A2, were identified, along with their corresponding metabolites, namely D-glucose, D-mannose, L-tryptophan, 11-deoxycorticosterone, and 17α-hydroxyprogesterone. These were found to be involved in three key metabolic pathways: steroid hormone biosynthesis, tryptophan metabolism, and galactose metabolism. Additionally, five significant anti-RA active components were identified from RMF, including Rhodojaponin (Rj)-Ⅱ, Rj-Ⅲ, Rj-Ⅴ, Rj-Ⅵ, and quercetin. CONCLUSIONS: The anti-RA mechanisms of RMF were investigated in this study, focusing on active components, upstream targets, and downstream metabolites. These findings lay a foundation for the clinical practice and drug development of RMF.

Investigation into the anti-inflammatory mechanism of Pothos chinensis (Raf.) Merr. By regulating TLR4/MyD88/NF-κB pathway: Integrated network pharmacology, serum pharmacochemistry, and metabolomics.

ETHNOPHARMACOLOGICAL RELEVANCE: Inflammation is directly related to disease progression and contributes significantly to the global burden of disease. Pothos chinensis (Raf.) Merr. (PCM) is commonly used in Yao medicine in China to treat tumors, and orthopedic illnesses such as knee osteoarthritis, and rheumatic bone discomfort. PCM was found to have significant anti-inflammatory properties in previous studies. AIM OF THE STUDY: To explore the active compounds of PCM and their anti-inflammatory pharmacological mechanisms through an integrated strategy of serum pharmacochemistry, network pharmacology, and serum metabolomics. MATERIALS AND METHODS: The qualitative and quantitative analyses of the chemical components of PCM were performed using UPLC-QTOF-MS/MS and UPLC, respectively, and the prototype components of PCM absorbed into the blood were analyzed. Based on the characterized absorbed into blood components, potential targets and signaling pathways of PCM anti-inflammatory were found using network pharmacology. Furthermore, metabolomics studies using UPLC-QTOF-MS/MS identified biomarkers and metabolic pathways related to the anti-inflammatory effects of PCM. Finally, the hypothesized mechanisms were verified by in vivo and in vitro experiments. RESULTS: Forty chemical components from PCM were identified for the first time, and seven of them were quantitatively analyzed, while five serum migratory prototype components were found. Network pharmacology KEGG enrichment analysis revealed that arachidonic acid metabolism, Tyrosine metabolism, TNF signaling pathway, NF-κB signaling pathway, and phenylalanine metabolism were the main signaling pathways of PCM anti-inflammatory. Pharmacodynamic results showed that PCM ameliorated liver injury and inflammatory cell infiltration and downregulated protein expression of IL-1ß, NF-κB p65, and MyD88 in the liver. Metabolomics studies identified 53 different serum metabolites, mainly related to purine and pyrimidine metabolism, phenylalanine metabolism, primary bile acid biosynthesis, and glycerophospholipid metabolism. The comprehensive results demonstrated that the anti-inflammatory modulatory network of PCM was related to 5 metabolites, 3 metabolic pathways, 7 targets, and 4 active components of PCM. In addition, molecular docking identified the binding ability between the active ingredients and the core targets, and the anti-inflammatory efficacy of the active ingredients was verified by in vitro experiments. CONCLUSION: Our study demonstrated the anti-inflammatory effect of PCM, and these findings provide new insights into the active ingredients and metabolic mechanisms of PCM in anti-inflammation.

The Molecular Mechanism of Radix Paeoniae Rubra.-Cortex Moutan. Herb Pair in the Treatment of Atherosclerosis: A Work Based on Network Pharmacology and In Vitro Experiments.

Radix Paeoniae Rubra. (Chishao, RPR) and Cortex Moutan. (Mudanpi, CM) are a pair of traditional Chinese medicines that play an important role in the treatment of atherosclerosis (AS). The main objective of this study was to identify potential synergetic function and underlying mechanisms of RPR-CM in the treatment of AS. The main active ingredients, targets of RPR-CM and AS-related genes were obtained from public databases. A Venn diagram was utilized to screen the common targets of RPR-CM in treating AS. The protein-protein interaction network was established based on STRING database. Biological functions and pathways of potential targets were analyzed through Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses. Cytoscape was used to construct the drug-compound-target-signal pathway network. Molecular docking was performed to verify the binding ability of the bioactive ingredients and the target proteins. The endothelial inflammation model was constructed with human umbilical vein endothelial cells stimulated with ox-LDL, and the function of RPR-CM in treating AS was verified by CCK-8 assay, enzyme-linked immunosorbent assay, and qPCR. In this study, 12 active components and 401 potential target genes of RPR-CM were identified, among which quercetin, kaempferol and baicalein were considered to be the main active components. A total of 1903 AS-related genes were identified through public databases and four GEO datasets (GSE57691, GSE72633, GSE6088 and GSE199819). There are 113 common target genes of RPR-CM in treating AS. PPI network analysis identified 17 genes in cluster 1 as the core targets. Bioinformatics analysis showed that RPR-CM in AS treatment was associated with multiple downstream biological processes and signal pathways. PTGS2, JUN, CASP3, TNF, IL1B, IL6, FOS, STAT1 were identified as the core targets of RPR-CM, and molecular docking showed that the main bioactive components of RPR-CM had good binding ability with the core targets. RPR-CM extract significantly inhibited the levels of inflammatory factors TNF-α, IL-6, IL-1ß, MCP-1, VCAM-1 and ICAM-1 in HUVECs, and inhibited endothelial inflammation. This study revealed the active ingredients of RPR-CM, and identified the key downstream targets and signaling pathways in the treatment of AS, providing theoretical basis for the application of RPR-CM in prevention and treatment of AS.