Background and Objectives: Type 2 diabetes mellitus (T2DM) is a global health concern affecting more than 400 million people worldwide. Diabetic neuropathy, nephropathy, retinopathy, and cardiovascular complications lead to debilitating effects to patients. To prevent these, the treatment goal is to lower the blood sugar levels and maintain at a normal range which is achieved through conventional treatments like insulin and oral hypoglycemic agents. However, the high cost of these medications implicates patient treatment outcomes. Hence, alternatives are sought for including the use of herbal medicines. Momordica charantia (MC) and Lagerstroemia speciosa (LS) are common herbal medicines used to manage T2DM. In the Philippines, these herbal preparations are validated for their glucose lowering effects and are commonly found in combination in food supplements. The study aims to screen the possible mechanisms of compounds present in these herbal medicines which can offer possible explanations for their synergistic effects and rationalization of their combination in preparations. Methods: Network pharmacology was employed to determine pivotal proteins that are targeted by MC and LS compounds. Molecular docking was then done to evaluate the favorability of the binding of these compounds toward their target proteins. Results: Our results showed that TNF, HSP90AA1, MAPK3, ALDH2, GCK, AKR1B1, TTR and RBP4 are the possible pivotal targets of MC and LS compounds in T2DM. Conclusion Terpenoids from MC and decanoic acid from LS are the compounds which showed favorable binding towards pivotal protein targets in T2DM. By binding towards the different key proteins in T2DM, they may exhibit their synergistic effects. However, the results of this study are bound to the limitations of computational methods and experimental validation are needed to verify our findings.
Molecular Docking Simulation ; Network Pharmacology ; Momordica charantia

Artemisia argyi (A. argyi), a plant with a longstanding history as a raw material for traditional medicine and functional diets in Asia, has been used traditionally to bathe and soak feet for its disinfectant and itch-relieving properties. Despite its widespread use, scientific evidence validating the antifungal efficacy of A. argyi water extract (AAWE) against dermatophytes, particularly Trichophyton rubrum, Trichophyton mentagrophytes, and Microsporum gypseum, remains limited. This study aimed to substantiate the scientific basis of the folkloric use of A. argyi by evaluating the antifungal effects and the underlying molecular mechanisms of its active subfraction against dermatophytes. The results indicated that AAWE exhibited excellent antifungal effects against the three aforementioned dermatophyte species. The subfraction AAWE6, isolated using D101 macroporous resin, emerged as the most potent subfraction. The minimum inhibitory concentrations (MICs) of AAWE6 against T. rubrum, M. gypseum, and T. mentagrophytes were 312.5, 312.5, and 625 μg·mL^-1, respectively. Transmission electron microscopy (TEM) results and assays of enzymes linked to cell wall integrity and cell membrane function indicated that AAWE6 could penetrate the external protective barrier of T. rubrum, creating breaches ("small holes"), and disrupt the internal mitochondrial structure ("granary"). Furthermore, transcriptome data, quantitative real-time PCR (RT-qPCR), and biochemical assays corroborated the severe disruption of mitochondrial function, evidenced by inhibited tricarboxylic acid (TCA) cycle and energy metabolism. Additionally, chemical characterization and molecular docking analyses identified flavonoids, primarily eupatilin (131.16 ± 4.52 mg·g^-1) and jaceosidin (4.17 ± 0.18 mg·g^-1), as the active components of AAWE6. In conclusion, the subfraction AAWE6 from A. argyi exerts antifungal effects against dermatophytes by disrupting mitochondrial morphology and function. This research validates the traditional use of A. argyi and provides scientific support for its anti-dermatophytic applications, as recognized in the Chinese patent (No. ZL202111161301.9).
Antifungal Agents/chemistry* ; Arthrodermataceae ; Artemisia/chemistry* ; Molecular Docking Simulation ; Mitochondria ; Microbial Sensitivity Tests

Pathological vascular remodeling is a hallmark of various vascular diseases. Previous research has established the significance of andrographolide in maintaining gastric vascular homeostasis and its pivotal role in modulating endothelial barrier dysfunction, which leads to pathological vascular remodeling. Potassium dehydroandrographolide succinate (PDA), a derivative of andrographolide, has been clinically utilized in the treatment of inflammatory diseases precipitated by viral infections. This study investigates the potential of PDA in regulating pathological vascular remodeling. The effect of PDA on vascular remodeling was assessed through the complete ligation of the carotid artery in C57BL/6 mice. Experimental approaches, including rat aortic primary smooth muscle cell culture, flow cytometry, bromodeoxyuridine (BrdU) incorporation assay, Boyden chamber cell migration assay, spheroid sprouting assay, and Matrigel-based tube formation assay, were employed to evaluate the influence of PDA on the proliferation and motility of smooth muscle cells (SMCs). Molecular docking simulations and co-immunoprecipitation assays were conducted to examine protein interactions. The results revealed that PDA exacerbates vascular injury-induced pathological remodeling, as evidenced by enhanced neointima formation. PDA treatment significantly increased the proliferation and migration of SMCs. Further mechanistic studies disclosed that PDA upregulated myeloid differentiation factor 88 (MyD88) expression in SMCs and interacted with T-cadherin (CDH13). This interaction augmented proliferation, migration, and extracellular matrix deposition, culminating in pathological vascular remodeling. Our findings underscore the critical role of PDA in the regulation of pathological vascular remodeling, mediated through the MyD88/CDH13 signaling pathway.
Mice ; Rats ; Animals ; Myeloid Differentiation Factor 88/metabolism* ; Vascular Remodeling ; Cell Proliferation ; Vascular System Injuries/pathology* ; Carotid Artery Injuries/pathology* ; Molecular Docking Simulation ; Muscle, Smooth, Vascular ; Cell Movement ; Mice, Inbred C57BL ; Signal Transduction ; Succinates/pharmacology* ; Potassium/pharmacology* ; Cells, Cultured ; Diterpenes ; Cadherins

Objectives: This study aims to assess the drug-likeness and binding of nucleobase-substituted ponatinib analogues towards wild-type and T315I mutant BCR-ABL tyrosine kinases. Methodology: A total of 415 ponatinib analogues, encompassing single and combinatorial modifications on five parts of the drug were generated, profiled in SwissADME, and subjected to molecular docking using AutoDock4. Complexes formed by the top analogues then underwent a 100-ns molecular dynamics simulation with GROMACS. Results: Analogues featuring the replacement of the imidazo[1,2b]pyridazine with adenine and cytosine exhibited promising binding free energies, attributed to the presence of primary amines that facilitate crucial hydrogen bond interactions in the hinge region. RMSD, RMSF, and atomic distance analyses of the MD trajectories revealed that the six top analogues formed stable complexes in their inactive DFG-out conformations. Changes in the MMPBSA and MMGBSA-calculated free energies were mainly driven by changes in hydrogen bonds. Furthermore, drug-likeness predictions supported the formulation of most analogues for oral administration. Conclusion Among the top analogues, VP10004 and VP81014 exhibited the most favorable binding free energies and interactions with the target models, while VP10312 was identified as the most feasible candidate for synthesis.
Hydrogen Bonding ; Molecular Dynamics Simulation ; Molecular Docking Simulation

OBJECTIVE: To determine whether monotropein has an anticancer effect and explore its potential mechanisms against colorectal cancer (CRC) through network pharmacology and molecular docking combined with experimental verification. METHODS: Network pharmacology and molecular docking were used to predict potential targets of monotropein against CRC. Cell counting kit assay, plate monoclonal assay and microscopic observation were used to investigate the antiproliferative effects of monotropein on CRC cells HCT116, HT29 and LoVo. Flow cytometry and scratch assay were used to analyze apoptosis and cell cycle, as well as cell migration, respectively in HCT116, HT29, and LoVo cells. Western blotting was used to detect the expression of proteins related to apoptosis, cell cycle, and cell migration, and the expression of proteins key to the Akt pathway. RESULTS: The Gene Ontology and Reactome enrichment analyses indicated that the anticancer potential of monotropein against CRC might be involved in multiple cancer-related signaling pathways. Among these pathways, RAC-beta serine/threonine-protein kinase (Akt1, Akt2), cyclin-dependent kinase 6 (CDK6), matrix metalloproteinase-9 (MMP9), epidermal growth factor receptor (EGFR), cell division control protein 42 homolog (CDC42) were shown as the potential anticancer targets of monotropein against CRC. Molecular docking suggested that monotropein may interact with the 6 targets (Akt1, Akt2, CDK6, MMP9, EGFR, CDC42). Subsequently, cell activity of HCT116, HT29 and LoVo cell lines were significantly suppressed by monotropein (P<0.05). Furthermore, our research revealed that monotropein induced cell apoptosis by inhibiting Bcl-2 and increasing Bax, induced G₁-S cycle arrest in colorectal cancer by decreasing the expressions of CyclinD1, CDK4 and CDK6, inhibited cell migration by suppressing the expressions of CDC42 and MMP9 (P<0.05), and might play an anticancer role through Akt signaling pathway. CONCLUSION Monotropein exerts its antitumor effects primarily by arresting the cell cycle, causing cell apoptosis, and inhibiting cell migration. This indicates a high potential for developing novel medication for treating CRC.
Humans ; Proto-Oncogene Proteins c-akt/metabolism* ; Cell Proliferation ; Matrix Metalloproteinase 9 ; Molecular Docking Simulation ; Cell Cycle ; ErbB Receptors ; Apoptosis ; Colorectal Neoplasms/pathology* ; Cell Line, Tumor

Ultra-performance liquid chromatography-quadrupole time of fight/mass spectrometry(UPLC-Q-TOF-MS) and UNIFI were employed to rapidly determine the content of the components in Liangxue Tuizi Mixture. The targets of the active components and Henoch-Schönlein purpura(HSP) were obtained from SwissTargetPrediction, Online Mendelian Inheritance in Man(OMIM), and GeneCards. A "component-target-disease" network and a protein-protein interaction(PPI) network were constructed. Gene Ontology(GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis were performed for the targets by Omishare. The interactions between the potential active components and the core targets were verified by molecular docking. Furthermore, rats were randomly assigned into a normal group, a model group, and low-, medium-, and high-dose Liangxue Tuizi Mixture groups. Non-targeted metabolomics was employed to screen the differential metabolites in the serum, analyze possible metabolic pathways, and construct the "component-target-differential metabolite" network. A total of 45 components of Liangxue Tuizi Mixture were identified, and 145 potential targets for the treatment of HSP were predicted. The main signaling pathways enriched included resistance to epidermal growth factor receptor tyrosine kinase inhibitors, phosphatidylinositol 3-kinase/protein kinase B(PI3K-AKT), and T cell receptor. The results of molecular docking showed that the active components in Liangxue Tuizi Mixture had strong binding ability with the key target proteins. A total of 13 differential metabolites in the serum were screened out, which shared 27 common targets with active components. The progression of HSP was related to metabolic abnormalities of glycerophospholipid and sphingolipid. The results indicate that the components in Liangxue Tuizi Mixture mainly treats HSP by regulating inflammation and immunity, providing a scientific basis for rational drug use in clinical practice.
Animals ; Rats ; IgA Vasculitis/drug therapy* ; Network Pharmacology ; Molecular Docking Simulation ; Phosphatidylinositol 3-Kinases ; Metabolomics

The aim of this study was to investigate the effect and molecular mechanism of Xuebijing Injection in the treatment of sepsis-associated acute respiratory distress syndrome(ARDS) based on network pharmacology and in vitro experiment. The active components of Xuebijing Injection were screened and the targets were predicted by the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP). The targets of sepsis-associated ARDS were searched against GeneCards, DisGeNet, OMIM, and TTD. Weishengxin platform was used to map the targets of the main active components in Xuebijing Injection and the targets of sepsis-associated ARDS, and Venn diagram was established to identify the common targets. Cytoscape 3.9.1 was used to build the "drug-active components-common targets-disease" network. The common targets were imported into STRING for the building of the protein-protein interaction(PPI) network, which was then imported into Cytoscape 3.9.1 for visualization. DAVID 6.8 was used for Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment of the common targets, and then Weishe-ngxin platform was used for visualization of the enrichment results. The top 20 KEGG signaling pathways were selected and imported into Cytoscape 3.9.1 to establish the KEGG network. Finally, molecular docking and in vitro cell experiment were performed to verify the prediction results. A total of 115 active components and 217 targets of Xuebijing Injection and 360 targets of sepsis-associated ARDS were obtained, among which 63 common targets were shared by Xuebijing Injection and the disease. The core targets included interleukin-1 beta(IL-1β), IL-6, albumin(ALB), serine/threonine-protein kinase(AKT1), and vascular endothelial growth factor A(VEGFA). A total of 453 GO terms were annotated, including 361 terms of biological processes(BP), 33 terms of cellular components(CC), and 59 terms of molecular functions(MF). The terms mainly involved cellular response to lipopolysaccharide, negative regulation of apoptotic process, lipopolysaccharide-mediated signaling pathway, positive regulation of transcription from RNA polyme-rase Ⅱ promoter, response to hypoxia, and inflammatory response. The KEGG enrichment revealed 85 pathways. After diseases and generalized pathways were eliminated, hypoxia-inducible factor-1(HIF-1), tumor necrosis factor(TNF), nuclear factor-kappa B(NF-κB), Toll-like receptor, and NOD-like receptor signaling pathways were screened out. Molecular docking showed that the main active components of Xuebijing Injection had good binding activity with the core targets. The in vitro experiment confirmed that Xuebijing Injection suppressed the HIF-1, TNF, NF-κB, Toll-like receptor, and NOD-like receptor signaling pathways, inhibited cell apoptosis and reactive oxygen species generation, and down-regulated the expression of TNF-α, IL-1β, and IL-6 in cells. In conclusion, Xuebijing Injection can regulate apoptosis and response to inflammation and oxidative stress by acting on HIF-1, TNF, NF-κB, Toll-like receptor, and NOD-like receptor signaling pathways to treat sepsis-associated ARDS.
Humans ; Network Pharmacology ; Vascular Endothelial Growth Factor A ; NF-kappa B ; Interleukin-6 ; Lipopolysaccharides ; Molecular Docking Simulation ; Respiratory Distress Syndrome ; Tumor Necrosis Factor-alpha ; Sepsis/genetics* ; NLR Proteins

UPLC-Q-Exactive-MS/MS and network pharmacology were employed to preliminarily study the active components and mechanism of Jinwugutong Capsules in the treatment of osteoporosis. Firstly, UPLC-Q-Exactive-MS/MS was employed to characterize the chemical components of Jinwugutong Capsules, and network pharmacology was employed to establish the "drug-component-target-pathway-disease" network. The key targets and main active components were thus obtained. Secondly, AutoDock was used for the molecular docking between the main active components and key targets. Finally, the animal model of osteoporosis was established, and the effect of Jinwugutong Capsules on the expression of key targets including RAC-alpha serine/threonine-protein kinase(AKT1), albumin(ALB), and tumor necrosis factor-alpha(TNF-α) was determined by enzyme-linked immunosorbent assay(ELISA). A total of 59 chemical components were identified from Jinwugutong Capsules, among which coryfolin, 8-prenylnaringenin, demethoxycurcumin, isobavachin, and genistein may be the main active components of Jinwugutong Capsules in treating osteoporosis. The topological analysis of the protein-protein interaction(PPI) network revealed 10 core targets such as AKT1, ALB, catenin beta 1(CTNNB1), TNF, and epidermal growth factor receptor(EGFR). The Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment showed that Jinwugutong Capsules mainly exerted the therapeutic effect by regulating the phosphatidylinositol 3-kinase(PI3K)/protein kinase B(AKT) signaling pathway, neuroactive ligand-receptor interaction, mitogen-activated protein kinase(MAPK) signaling pathway, Rap1 signaling pathway and so on. Molecular docking showed that the main active components of Jinwugutong Capsules well bound to the key targets. ELISA results showed that Jinwugutong Capsules down-regulated the protein levels of AKT1 and TNF-α and up-regulated the protein level of ALB, which preliminarily verified the reliability of network pharmacology. This study indicates that Jinwugutong Capsules may play a role in the treatment of osteoporosis through multiple components, targets, and pathways, which can provide reference for the further research.
Animals ; Tumor Necrosis Factor-alpha/genetics* ; Network Pharmacology ; Capsules ; Molecular Docking Simulation ; Phosphatidylinositol 3-Kinases ; Reproducibility of Results ; Tandem Mass Spectrometry

Network pharmacology, molecular docking, and in vivo and in vitro experiments were employed to study the molecular mechanism of Blaps rynchopetera Fairmaire in the treatment of non-small cell lung cancer(NSCLC). The components of B. rynchopetera were collected by literature review, and the active components were screened out through the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP). PharmMapper was used to obtain the targets of the active components. The targets of NSCLC were obtained from DrugBank, GeneCards, OMIM, TTD, and PharmGKB. The Venn diagram was drawn to identify the common targets shared by the active components of B. rynchopetera and NSCLC. The "drug component-target" network and protein-protein interaction(PPI) network were constructed by Cytoscape, and the key targets were screened by Centiscape. Gene Ontology(GO) annotation and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment of the above key targets were performed by DAVID. AutoDock and PyMOL were used for the molecular docking between the key targets and corresponding active components. A total of 31 active components, 72 potential targets, and 11 key targets of B. rynchopetera against NSCLC were obtained. The active components of B. rynchopetera had good binding activity with key targets. Further, the serum containing B. rynchopetera was prepared and used to culture human lung adenocarcinoma A549 cells. The CCK-8 assay was employed to determine the inhibition rates on the growth of A549 cells in blank control group and those exposed to different concentrations of B. rynchopetera-containing serum, cisplatin, and drug combination(B. rynchopetera-containing serum+cisplatin) for different time periods. The cell migration and invasion of A549 cells were detected by cell scratch assay and Transwell assay, respectively. Western blot was employed to determine the expression levels of B-cell lymphoma-2(Bcl-2), Bcl-2-associated X(Bax), caspase-3, cell division cycle 42(CDC42), proto-oncogene tyrosine-protein kinase SRC, and vascular endothelial growth factor(VEGF) in A549 cells. C57BL/6 mice were inoculated with Lewis cells and randomly assigned into a model control group, a B. rynchopetera group, a cisplatin group, and a drug combination(B. rynchopetera+cisplatin) group, with 12 mice per group. The body weight and the long diameter(a) and short diameter(b) of the tumor were monitored every other day during treatment, and the tumor volume(mm~3) was calculated as 0.52ab~2. After 14 days of continuous medication, the mice were sacrificed for the collection of tumor, spleen, and thymus, and the tumor inhibition rate and immune organ indexes were calculated. The tissue morphology of tumors was observed by hematoxylin-eosin(HE) staining, and the positive expression of Bax, Bcl-2, caspase-3, CDC42, SRC, and VEGF in the tumor tissue was detected by immunohistochemistry. The results indicated that B. rynchopetera and the drug combination regulated the expression levels of Bax, Bcl-2, caspase-3, CDC42, SRC, and VEGF to inhibit the proliferation, migration, and invasion of A549 cells and Lewis cells, thus playing a role in the treatment of NSCLC via multiple ways.
Humans ; Animals ; Mice ; Mice, Inbred C57BL ; Carcinoma, Non-Small-Cell Lung/genetics* ; Caspase 3 ; Network Pharmacology ; Vascular Endothelial Growth Factor A ; Cisplatin ; Molecular Docking Simulation ; bcl-2-Associated X Protein ; Lung Neoplasms/genetics* ; Cell Proliferation ; Drugs, Chinese Herbal/pharmacology* ; Medicine, Chinese Traditional

This study aimed to explore the anti-glioma effect of natural compound pterostilbene(PTE) through regulating pyroptosis and apoptosis pathways, and to analyze the possible anti-glioma pathways and targets of PTE by network pharmacology and molecular docking. In this study, the action targets of PTE and the glioma targets were obtained by network pharmacology to construct a target network and a protein-protein interaction(PPI) network to predict the possible action targets of PTE against glioma. Molecular docking was performed on the core targets by AutoDock and the action pathways of PTE against glioma were predicted by enrichment analysis. In addition, the effect of PTE on the viability of U87MG and GL261 glioma cells was detected by CCK-8 assay. Clone formation assay and cell scratching assay were used to explore the effect of different concentrations of PTE on the proliferation and migration, respectively of glioma cells. Hoechst staining was used to observe PTE-induced apoptosis in glioma cells. The changes in mitochondrial membrane potential were detected by JC-1 staining. The pyroptosis-inducing effect of PTE on glioma cells was observed by inverted microscopy and lactate dehydrogenase(LDH) assay. Hoechst 33342/PI dual staining assay was performed to detect the integrity of glioma cell membranes. The expressions of pyroptosis and apoptosis-related proteins in glioma cells after PTE induction were determined by Western blot. In this study, 37 anti-glioma targets of PTE were obtained, and enrichment analysis suggested that PTE exerted anti-glioma effects through various signaling pathways including cancer pathway, proteoglycan in cancer, PI3K/AKT pathway, and apoptosis regulatory pathway. Molecular docking revealed that PTE had good binding activity with the main targets. Compared with the control group, PTE significantly reduced the viability as well as the proliferation, migration and adhesion abilities of U87MG and GL261 cells; it induced the apoptosis of the two glioma cells and the decrease of mitochondrial membrane potential in U87MG cells, and the effects increased with the increase of drug concentration. Compared with the conditions in the control group, glioma cells in the PTE group had increased pyroptosis-specific appearance and gradually increased LDH release; the number of PI positive cells was significantly elevated with the increase of PTE concentration as revealed by Hoechst 33342/PI staining; the expression levels of apoptosis-related factors cleaved PARP1 and B-cell lymphoma-2(Bcl-2) associated X(BAX) in the PTE group were markedly up-regulated, while the expression level of Bcl-2 was markedly down-regulated; the activation levels of pyroptosis-related proteins cleaved caspase-3 and gasdermin E-N(GSDME-N) had a remarkable rise in the PTE group, while no significant changes were found in the activation levels of gasdermin D-N(GSDMD-N) and cleaved caspase-1. In summary, PTE plays an anti-glioma role by inhibiting cell viability, proliferation, and migration and activating the caspase-3/GSDME-mediated pyroptosis pathway and mitochondrial apoptosis pathway.
Pyroptosis ; Caspase 3/metabolism* ; Network Pharmacology ; Gasdermins ; Molecular Docking Simulation ; Phosphatidylinositol 3-Kinases/metabolism* ; Apoptosis ; Proto-Oncogene Proteins c-bcl-2/metabolism*