Search

• DSS significantly improves NS treatment outcomes compared to western medicine alone. • Network pharmacology analysis identifies multiple active compounds and pathways targeted by DSS. • DSS regulates key targets involved in inflammation, immunity, and renal fibrosis. • Study provides evidence for DSS as a promising treatment option for NS. The purpose of this study was to investigate the efficacy and mechanism of DSS in treating nephrotic syndrome through meta-analysis and network pharmacology methods. To conduct a comprehensive search for randomized controlled trials on the efficacy of Danggui Shaoyao San (DSS) in the treatment of nephrotic syndrome, we searched across eight electronic databases from their establishment to May 1, 2023. The Cochrane Collaboration's Risk of Bias 2 tool was used to evaluate the quality of evidence regarding bias risk and outcomes. Statistical analysis was performed using RevMan software (version 5.4). Furthermore, network pharmacology was employed to validate the underlying mechanism. This study included 14 articles that involved 1256 patients with nephrotic syndrome. The clinical efficacy of DSS against nephrotic syndrome was significantly higher than that of Western medical treatment alone. In comparison with the control groups, which were administered Western medicines alone, the use of DSS significantly increased plasma albumin levels (mean difference [MD] = 4.32, 95 % confidence interval [CI] [2.37, 6.24], p < 0.00001) and reduced 24 h urinary protein excretion (MD = −0.92, 95 % CI [−1.11, −0.73], p < 0.00001), total cholesterol levels (MD = −1.23, 95 % CI [−1.76, −0.70], p < 0.00001), triglyceride levels (MD = −0.37, 95 % CI [−0.54, −0.20], p < 0.00001). Furthermore, the combination of DSS with Western medicines achieved better control of adverse reactions in comparison with the control groups (relative risk = 0.37, 95 % CI [0.29, 0.49], p < 0.00001). Network pharmacology analysis identified 39 important active compounds and 18 core target genes involved in the treatment of primary nephrotic syndrome by DSS. Gene Ontology enrichment analysis identified 2126 biological processes, 64 cellular components, and 115 molecular functions, while Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis identified 149 signaling pathways. Key active compounds include ginsenoside Rg5, ginsenoside Rg1, schisandrin A, berberine, gallic acid, quercetin, and β-sitosterol, while potential core target genes include IL6, AKT1, TNF, VEGFA, IL1B , and TP53. KEGG pathway analysis indicated that DSS is involved in multiple mechanisms, such as neural development, synaptic plasticity, programmed cell death, inflammation, and immunity. DSS has higher efficacy and safety in the treatment of nephrotic syndrome and acts on nephrotic syndrome via mechanisms that involve multiple targets, components, and pathways. [ABSTRACT FROM AUTHOR]

Background: Diabetes Mellitus (DM) is a complex metabolic disorder with increasing global prevalence, necessitating the exploration of novel therapeutic strategies. Cyprus rotundus, a medicinal plant with a long history of traditional use, has shown promising potential in managing DM. Aim of the study: This study aims to elucidate the mechanism of action of active components of C. rotundus in managing DM using a combination of network pharmacology and molecular docking approaches. Materials and methods: The active compounds of C. rotundus were identified through IMPPAT and CHEBI database mining. Subsequently, compound-target are taken from swiss target prediction and SEA. Collection of DM-related targets is done through DisGeNET and TTD database. After identifying both the targets, common targets were evaluated through venny 2.1.0. by constructing venn diagram. To elucidate the potential targets of these compounds, a protein–protein interaction network was constructed by utilizing STRING database. Through network analysis, we identified key targets and pathways involved in the pathogenesis of DM and targeted by the active components of C. rotundus. Furthermore, molecular docking was performed to explore the binding affinity and interactions between the active compounds and their target proteins. Results: This, reveal that the 12 active components of C. rotundus exert their therapeutic effects on DM through multiple mechanisms, there are 141 common target genes between C. rotundus and DM. Enrichment of the KEGG pathway mainly involves in the AGE-RAGE signaling pathway in diabetic complications, Type II DM pathway. Top 10 genes were regulated by C. rotundus in DM, including MMP9, PTGS2, CASP3, CD4, EGFR, STAT3, PPARG, AKT1, NFKB1 and MAPK3. Molecular docking analysis further validates the strong binding affinity between the active compounds and their target proteins, providing insights into their mode of action at the molecular level. Conclusions: This study provides a systematic understanding of the mechanism of action of C. rotundus in managing DM, offering a basis for further experimental validation and drug development. [ABSTRACT FROM AUTHOR]

Background: Shenzao dripping pill (SZDP) is empirically prescribed for treating cardiac diseases. Nevertheless, there is a lack of comprehensive knowledge regarding the underlying mechanisms contributing to its therapeutic effects. The objective of this study is to investigate the underlying mechanism of SZDP against chronic myocardial ischemia (CMI) in a rat model. Methods: In this study, we utilized electrocardiographic and echocardiographic detection along with pathological tissue analysis to evaluate the efficacy of SZDP. The integration of network pharmacology and metabolomics was conducted to investigate the mechanisms. Molecular docking and molecular dynamics simulations were used to validate the binding energy between the compounds of SZDP and the associated targets. Results: The results showed that SZDP was able to improve T wave voltage, reverse CMI abnormalities in ejection fraction and fractional shortening, and restore histopathological heart damage. Metabolomics results indicated that disturbances of metabolic profile in CMI rats were partly corrected after SZDP administration, mainly affecting purine metabolism. 13-Docosenamide may be the potential metabolic biomarker of the therapeutic application of SZDP for CMI. Integrating network pharmacology and metabolomics, thiopurine S-methyltransferase (TPMT), xanthine dehydrogenase/oxidase (XDH), bifunctional purine biosynthesis protein ATIC (ATIC), and cytochrome p450 1A1 (CYP1A1) were identified as possible targets of SZDP to exert therapeutic effects by enhancing the metabolic levels of L-Tryptophan, Deoxyribose 1-phosphate and Phosphoribosyl formamidocarboxamide. Conclusion: SZDP has a therapeutic effect on CMI by regulating metabolite levels, acting on the targets of TMPT, XDH, ATIC, and CYP1A1, and reducing cardiomyocyte injury and myocardial fibrosis. [ABSTRACT FROM AUTHOR]

BACKGROUND: Sulforaphene is a derivative of glucosinolate and a potential bioactive substance used for treating colon cancer. This study aimed to evaluate the potential inhibitory effect and mechanisms of sulforaphene in human colon cancer Caco‐2 cells. Network pharmacology, molecular docking, and experimental verification were performed to elucidate potential sulforaphene mechanisms in the treatment of this condition. RESULT: Network pharmacology predicted 27 intersection target genes between sulforaphene and colon cancer cell inhibition. Key sulforaphene targets associated with colon cancer cell inhibition were identified as EGFR, MAPK14, MCL1, GSK3B, PARP1, PTPRC, NOS2, CTSS, TLR9, and CTSK. Gene ontology functional enrichment analysis revealed that the above genes were primarily related to the positive regulation of peptidase activity, cytokine production in the inflammatory response, and the cell receptor signaling pathway. Kyoto Encyclopedia of Genes and Genomes enrichment analysis indicated that sulforaphene mainly inhibited the proliferation of cancer cells by affecting apoptosis as well as the signaling pathways of PD‐1, Toll‐like receptor, T cell receptor, and P13k–Akt. Molecular docking results further confirmed that CTSS, GSK3B, and NOS2 were significantly up‐regulated and had good binding affinity with sulforaphene. In vitro experiments also indicated that sulforaphene had a significant inhibitory effect on human colon cancer Caco‐2 cells. CONCLUSION: This paper revealed the pharmacodynamic mechanism of sulforaphene in the treatment of colon cancer for the first time. It provides scientific insight into the development of sulforaphene as a medicinal resource. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

In biomedical research, the fruit fly (Drosophila melanogaster) is among the most effective and flexible model organisms. Through the use of the Drosophila model, molecular mechanisms of human diseases can be investigated and candidate pharmaceuticals can be screened. White rot fungus Inonotus obliquus is a member of the family Hymenochaetaceae. Due to its multifaceted pharmacological effects, this fungus has been the subject of scientific investigation. Nevertheless, the precise mechanisms by which Inonotus obliquus treats diseases remain unclear. In this study, we prepared an aqueous extract derived from Inonotus obliquus and demonstrated that it effectively prevented the negative impacts of inflammatory agents on flies, including overproliferation and overdifferentiation of intestinal progenitor cells and decreased survival rate. Furthermore, elevated reactive oxygen species levels and cell death were alleviated by Inonotus obliquus aqueous extract, suggesting that this extract inhibited intestinal inflammation. Additionally, Inonotus obliquus aqueous extract had an impact on the insulin pathway, as it alleviated growth defects in flies that were fed a high-sugar diet and in chico mutants. In addition, we determined the composition of Inonotus obliquus aqueous extract and conducted a network pharmacology analysis in order to identify prospective key compounds and targets. In brief, Inonotus obliquus aqueous extract exhibited considerable potential as a therapeutic intervention for human diseases. Our research has established a foundational framework that supports the potential clinical implementation of Inonotus obliquus. [ABSTRACT FROM AUTHOR]

Central nervous system diseases pose a significant threat to human health. Clinical observations have demonstrated that celabenzine, the primary active component of the natural plant ginseng, can potentially alleviate cognitive dysfunction in patients with central nervous system disorders. However, the specific mechanisms of its action remain unclear. The PubMed database was used to identify the targets of celabenzine. Subsequently, a Venn diagram of intersecting targets was constructed by utilizing the identified central nervous system injury targets. Additionally, Cytoscape software (version 3.7.2) was used to construct active ingredient-target and Protein-protein interaction networks. The Metascape database was used to perform Gene Ontology functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. Molecular docking was performed on active ingredients and target genes. Network pharmacology analysis revealed that celabenzine shares 175 intersecting targets with central nervous system damage, manifesting its effects through PI3K-Akt and MAPK signaling pathways and proteoglycans in the cancer pathway. Celabenzine demonstrates a strong binding affinity with its target gene, RhoA, indicating stable binding. This study was accomplished using network pharmacology and bioinformatics. Our findings suggested that celabenzine shows its protective effects against central nervous system damage by modulating the RhoA gene. [ABSTRACT FROM AUTHOR]

Background: Rheum tanguticum root, cataloged as "Daehwang" in the Korean Pharmacopeia, is rich in various anthraquinones known for their anti-inflammatory and antioxidant properties. Formulations containing Daehwang are traditionally employed for treating neurological conditions. This study aimed to substantiate the antiepileptic and neuroprotective efficacy of R. tanguticum root extract (RTE) against trimethyltin (TMT)-induced epileptic seizures and hippocampal neurodegeneration. Methods: The constituents of RTE were identified by ultra-performance liquid chromatography (UPLC). Experimental animals were grouped into the following five categories: control, TMT, and three TMT+RTE groups with dosages of 10, 30, and 100 mg/kg. Seizure severity was assessed daily for comparison between the groups. Brain tissue samples were examined to determine the extent of neurodegeneration and neuroinflammation using histological and molecular biology techniques. Network pharmacology analysis involved extracting herbal targets for Daehwang and disease targets for epilepsy from multiple databases. A protein-protein interaction network was built using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database, and pivotal targets were determined by topological analysis. Enrichment analysis was performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) tool to elucidate the underlying mechanisms. Results: The RTE formulation was found to contain sennoside A, sennoside B, chrysophanol, emodin, physcion, (+)-catechin, and quercetin-3-O-glucuronoid. RTE effectively inhibited TMT-induced seizures at 10, 30, and 100 mg/kg dosages and attenuated hippocampal neuronal decay and neuroinflammation at 30 and 100 mg/kg dosages. Furthermore, RTE significantly reduced mRNA levels of tumor necrosis factor (TNF-α), glial fibrillary acidic protein (GFAP), and c-fos in hippocampal tissues. Network analysis revealed TNF, Interleukin-1 beta (IL-1β), Interleukin-6 (IL-6), Protein c-fos (FOS), RAC-alpha serine/threonine-protein kinase (AKT1), and Mammalian target of rapamycin (mTOR) as the core targets. Enrichment analysis demonstrated significant involvement of R. tanguticum components in neurodegeneration (p = 4.35 x 10-5) and TNF signaling pathway (p = 9.94 x 10-5). Conclusions: The in vivo and in silico analyses performed in this study suggests that RTE can potentially modulate TMT-induced epileptic seizures and neurodegeneration. Therefore, R. tanguticum root is a promising herbal treatment option for antiepileptic and neuroprotective applications. [ABSTRACT FROM AUTHOR]

Functional dyspepsia (FD) is a common digestive disease. Jianwei Xiaoshi (JWXS) tablet is composed of Radix Pseudostellariae (TZS), Pericarpium Citri Reticulatae (CP), Rhizoma Dioscoreae (SY), fired Hordei Fructus Germinatus (CMY) and Crataegi Fructus (SZ). It is a commonly used drug in the treatment of FD in China and has good therapeutic effects. However, there is very little research about the substance basis and action mechanism of JWXS tablet. In this research, ultra‐high‐performance liquid chromatography‐mass spectrometry (UPLC‐MS) and network pharmacology were used to explore the substance basis and action mechanism of the JWXS tablet. Finally, 19, 79, 22, 22 and 39 constituents were identified in the extracts of TZS, CP, SY, CMY and SZ, respectively. Based on these findings, a total of 104 ingredients were identified in JWXS tablet and 29 potentially absorbed ingredients were detected in rat plasma. The results of network pharmacology indicated that the inhibition of gastric acid secretion, the regulation of gastrointestinal motility, inflammation and immune response were the key approaches for treating FD with JWXS tablet. The material basis and potential action mechanism of JWXS tablet in treating FD were comprehensively clarified for the first time. This study will improve our understanding of JWXS tablet. [ABSTRACT FROM AUTHOR]

This study aims to identify potential efficacy‐related biomarkers and investigate the mechanism of Youjing granule (YG) in improving spermatogenic function in rats based on metabolomics combined with network pharmacology. We obtained YG‐containing serum from Sprague–Dawley rats, compared it with control group serum and analyzed it using gas chromatography–mass spectroscopy to identify potential biomarkers and investigate the mechanism of YG in improving spermatogenic function in rats. Six important differential biomarkers, comprising putrescine, amidine, arginine, d‐fructose‐6‐phosphate, l‐proline and galactose, were identified in the YG‐containing serum and then used to explore the potential mechanisms. The ultra‐high‐performance liquid chromatography–high‐resolution mass spectrometry technology was adopted for the rapid separation, identification and analysis of chemical components of YG in blood. A total of 69 detected chromatographic peaks were revealed. The binding energy between core compounds and key proteins is low, among which dipsacoside B is the best. The outcomes suggest that YG may improve spermatogenic function in rats by facilitating the development of spermatogonial stem cells, counteracting oxidative stress and controlling cellular apoptosis. Youjing granule may also affect the energy required for sperm production or influence sperm growth and maturation. [ABSTRACT FROM AUTHOR]

Cadmium, a heavy metal, disrupts cellular homeostasis and is highly toxic, with no effective treatments currently available against its toxicity. According to studies, phytochemicals provide a promising strategy for mitigating cadmium toxicity. Naringenin (NG), a potent antioxidant found primarily in citrus fruits, showed protective properties against cadmium toxicity in rats. Nonetheless, the precise mechanism of cadmium cytotoxicity in fibroblasts remains unknown. This study evaluated NG against cadmium (CdCl2) toxicity utilizing network pharmacology and in silico molecular docking, and was further validated experimentally in rat fibroblast F111 cells. Using network pharmacology, 25 possible targets, including the top 10 targets of NG against cadmium, were identified. Molecular docking of interleukin 6 (IL6), the top potential target with NG, showed robust binding with an inhibition constant (Ki) of 58.76 μM, supporting its potential therapeutic potential. Pathway enrichment analysis suggested that "response to reactive oxygen species" and "negative regulation of small molecules metabolic process" were the topmost pathways targeted by NG against cadmium. In vitro analysis showed that NG (10 μM) attenuated CdCl2‐induced oxidative stress by reducing altered intracellular ROS, mitochondrial mass, and membrane potential. Also, NG reversed CdCl2‐mediated nuclear damage, G2/M phase arrest, and apoptosis. GC/MS‐based metabolomics of F111 cells revealed CdCl2 reduced cholesterol levels, which led to alterations in primary bile acid, steroid and steroid hormone biosynthesis pathways, whereas, NG restored these alterations. In summary, combined in silico and in vitro analysis suggested that NG protected cells from CdCl2 toxicity by mitigating oxidative stress and metabolic pathway alterations, providing a comprehensive understanding of its protective mechanisms against cadmium‐induced toxicity. [ABSTRACT FROM AUTHOR]

The edible flower of Hemerocallis citrina Baroni, commonly known as “Huang Huacai” in China, has anti‐depressant effects. However, targets and molecular mechanisms of Hemerocallis citrina Baroni edible flowers (HEF) in depression treatment are still unclear. The potential anti‐depression targets in HEF were identified by the intersecting results from typical drug databases. The network construction and Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analysis were carried out for core targets. The molecular docking was conducted to predict the binding affinity between the active components and the central targets. The intersecting results indicated that there were 24 active components in HEF, with 449 anti‐depression targets identified. After screening through degree centrality (DC), betweenness centrality (BC), and closeness centrality (CC), 166 core targets were determined. Tumor protein 53 (TP53) and interleukin 6 (IL‐6) had the highest degree values. The results of GO enrichment analysis associated with anti‐depression revealed that the biological processes were negative regulation of osteoclast differentiation and positive regulation of phosphorus metabolic process. KEGG enrichment analysis results revealed that pathways, such as the phosphatidylinositol 3‑kinase‐protein kinase B (PI3K‐Akt) signaling pathway and mitogen‐activated protein kinase (MAPK) signaling pathway, were primarily associated with anti‐depression. Molecular docking results indicated that the top 10 active ingredients in HEF could bind to the central targets. This study applied network pharmacology to unveil the potential anti‐depressive mechanisms of HEF, providing a theoretical basis for further exploration of the effective components in H. citrina edible flower parts. [ABSTRACT FROM AUTHOR]

Background: Skin photoaging induced by ultraviolet A (UVA) and ultraviolet B (UVB) radiation manifests as skin roughness, desquamation, pigmentation, and wrinkle formation. Current treatments, such as sunscreen, hormones, and antioxidants, have limitations and side effects. Traditional Chinese Medicine Hibisci Mutabilis Folium (HMF), or Mu-Fu-Rong-Ye in Chinese name, refers to the dried leaves of the plant Hibiscus mutabilis L., which belongs to the Malvaceae family. It has been used traditionally to treat acute mastitis, parotitis, neurodermatitis, burns. The reported activities of HMF include antiinflammatory and anti-oxidant effects. However, the therapeutic potential of HMF in preventing and treating UV-induced skin photoaging remains unexplored. Objective: This study aimed to investigate the protective effects of HMF extract (EHMF) against UV-induced skin photoaging and the underlying mechanisms of action, by using network pharmacology and experimental verification. Methods: Network pharmacology was employed to identify the effective chemical components of EHMF. Potential targets were identified via PPI network analysis. Representative compounds were characterized using UPLCMS/MS. In vitro validation involved assessing HaCaT cell viability, observing live/dead cell staining through fluorescence microscopy, and measuring inflammatory factors using ELISA. For in vivo validation, a UV-induced skin photoaging mice model was treated transdermally with EHMF or Methotrexate daily for 7 days. Dermatitis severity, skin morphology, and collagen fiber pathology were evaluated. Inflammatory cytokine and protein expression in dorsal skin lesions was confirmed using Elisa Kits, Western blot and immunohistochemistry. Results: A total of 22 active ingredients of EHMF were identified. GO enrichment and KEGG pathway analyses revealed a focus on inflammatory signaling pathways. In vitro experiments showed that EHMF significantly reduced UV-induced inflammatory factors in HaCaT cells and improved cell survival rates. In vivo, EHMF alleviated back skin lesions in UV-exposed mice, reducing epidermal and dermal thickening and pathological inflammatory cell infiltration. It also decreased abnormal MMP-9 expression and collagen fiber proliferation, along with levels of inflammatory factors like TNF-α, IL-6, IL-17, and EGFR. Western blot and immunohistochemistry results indicated that the over-activation of the AKTSTAT3 signaling pathway was inhibited. Conclusion: EHMF effectively reduced UV-induced skin damage, inflammation, and wrinkles, providing strong support for its clinical application as a dermatological agent. [ABSTRACT FROM AUTHOR]

Patients with gastric cancer (GC) are more susceptible to coronavirus disease 2019 (COVID-19), which further worsens their already challenging prognosis. However, there are no effective treatment options for these patients. Lentinan is a potent bioactive component with antiviral and antitumor effects. We hypothesized that lentinan might exert powerful pharmacological effects in patients with GC and COVID-19. In this study, a prognostic model of patients with GC/COVID-19 was constructed and used to apply a network pharmacology approach to reveal biological functions, drug targets, and molecular mechanisms of the action of lentinan against GC/COVID-19. Clinical analysis revealed key prognostic genes in patients with GC/COVID-19. The results of network pharmacology analysis suggested that the therapeutic effect of lentinan on GC/COVID-19 mainly involves the modulation of several neutrophil-related biological processes, as well as the nucleotide-binding and oligomerization domain-like receptor and interleukin-17 signaling pathways. In addition, C-X-C motif chemokine ligand 8, vascular endothelial growth factor A, ribonuclease 3, and F2 were identified as key genes of lentinan against GC/COVID-19. Key prognostic genes were identified in patients with GC/COVID-19 through the construction of a prognostic model. Pharmacological functions and signaling pathways of lentinan against GC/COVID-19 were revealed. These included the regulation of neutrophils and NOD-like receptor signaling pathways. The findings provide the first published evidence of the potential value of lentinan as a complementary therapy for GC/COVID-19. [ABSTRACT FROM AUTHOR]

Background: Roburic acid (ROB) is a newly discovered tetracyclic triterpene acid extracted from oak galls, which has anti-inflammatory effects, but the mechanism of its anticancer effect is not clear. Our study focuses on exploring the potential mechanism of action of ROB in the treatment of lung cancer using a combination of network pharmacological prediction, molecular docking technique and experimental validation. Methods: A network pharmacology approach was used to screen the protein targets of ROB and lung cancer, and PPI network analysis and enrichment analysis were performed on the intersecting genes. The tissue and organ distribution of the targets was also evaluated based on the BioGPS database. To ensure the reliability of the network pharmacology prediction results, we proceeded to use molecular docking technique to determine the relationship between drugs and targets. Finally, in vitro experiments with cell lines were performed to further reveal the potential mechanism of ROB for the treatment of lung cancer. Results: A total of 83 potential targets of ROB in lung cancer were collected and further screened by using Cytoscape software, and 7 targets of PTGS2, CYP19A1, PTGS1, AR, CYP17A1, PTGES and SRD5A1 were obtained as hub genes and 7 hub targets had good binding energy with ROB. GO and KEGG analysis showed that ROB treatment of lung cancer mainly involves Arachidonic acid metabolism, Notch signaling pathway, cancer pathway and PPAR signaling pathway. The results of in vitro experiments indicated that ROB may inhibit the proliferation and metastasis of lung cancer cells and activate the PPARg signaling pathway, as well as induce cellular autophagy. Conclusions: The results of this study comprehensively elucidated the potential targets and molecular mechanisms of ROB for the treatment of lung cancer, providing new ideas for further lung cancer therapy. [ABSTRACT FROM AUTHOR]

Background: Arecanut seed is an important traditional medicine in Southeast Asia. It has been presented in a clinical formula to treat osteoporosis (OP) in China. Arecanut seed is abundant in phenols. However, most of current studies mainly focused on estrogen-deficient osteoporosis (OP) model of arecanut seed phenols (ASP), there is still a lack of roundly research about molecular mechanism of ASP therapy on OP and its influence on in drug-induced bone loss. Materials and methods: To explore potential molecular mechanisms and the effects of ASP on OP, network pharmacology, molecular docking methods and a retinoic acid-induced OP rat model were employed in this study. According to the network pharmacology method, OP related targets and ASP compound related targets were collected from databases to obtain hub targets and top active chemicals in ASP treating OP. The potential therapic pathways were also calculated. Binding capacities of top active chemicals to hub targets were analyzed by molecular dock assay. In the animal experiment, osteocalcin (OCN) levels and alkaline phosphatase (ALP) activity in serum of all the rats were determined. The views of bone section were stained to observe the bone micro-structure of ASP affects. Bone mineral density (BMD), cortical bone thickness (CBT), area ratio of bone cortex (CAR) and area ratio of bone trabecula (TAR) were obtained from micro computed tomography to evaluate the effectiveness of ASP on bone loss. Conclusion: Three hub genes and three top active compounds were screened by network pharmacology analysis and they combined well with each other. ASP had positive effects on alleviating RA-induced bone loss by regulating the expression of the hub genes. Signals in IL-17 pathway were predicted and primarily verified being potential targets in ASP treating OP. [ABSTRACT FROM AUTHOR]

Introduction: Fatty liver disease in dairy cows is a metabolic disorder that significantly affects their health and productivity, imposing a notable economic burden on the global dairy industry. Traditional Chinese medicine (TCM), characterized by its multi-component and multi-target features, has shown unique advantages in the prevention and treatment of various diseases. Guiqi Yimu Powder, a traditional TCM formula, enhances growth, boosts production efficiency, and strengthens immune function in livestock by regulating antioxidant along with anti-inflammatory pathways. However, its specific regulatory mechanisms on fatty liver in dairy cows remain unclear. This study aims to investigate the molecular-level effects and potential regulatory mechanisms of Guiqi Yimu Powder in a Trimethylamine N-oxide (TMAO) induced fatty liver cell model of dairy cows. Methods: We employed a comprehensive analysis integrating transcriptomics, proteomics, metabolomics, and network pharmacology. An in vitro dairy cow fatty liver cell model was established using TMAO to induce lipid accumulation. Cells were treated with the optimal TMAO concentration identified through preliminary experiments, and further divided into a lipid accumulation group and Guiqi Yimu Powder treatment groups. The treatment groups received varying concentrations of Guiqi Yimu Powder (10, 20, 30, 40, or 50 g/L). High-throughput omics sequencing technologies were utilized to perform a comprehensive analysis of the treated cells. Bioinformatics methods were applied to explore the regulatory effects, aiming to elucidate the specific impacts of Guiqi Yimu Powder on lipid metabolism, liver function, and related signaling pathways, thereby providing scientific evidence for its potential application in the prevention and treatment of fatty liver in dairy cows. Results: Guiqi Yimu Powder treatment significantly affected 1,536 genes, 152 proteins, and 259 metabolites. KEGG enrichment analysis revealed that the significantly altered molecules are involved in multiple pathways related to the pathology of fatty liver, including metabolic pathways, glutathione metabolism, hepatitis B, and AMPK signaling pathway (p < 0.05). Notably, joint analysis highlighted the regulatory mechanisms of Guiqi Yimu Powder on glutathione cycling, with L-5-Oxoproline identified as an important metabolic compound. These findings indicate its impact on oxidative stress, energy metabolism, and liver function, suggesting potential therapeutic applications for fatty liver in dairy cows. Discussion: This study elucidated the regulatory mechanisms of Guiqi Yimu Powder on fatty liver cells in dairy cows, providing new scientific evidence for its potential application in the prevention and treatment of fatty liver disease. [ABSTRACT FROM AUTHOR]

Danshen formulation (GXDSF) is a traditional Chinese herbal recipe recorded in the Chinese Pharmacopeia since 1995 edition, which consists of Salviae miltiorrhizae Radix et Rhizoma, Notoginseng Radix et Rhizoma and Dalbergiae odoriferae Lignum. Our previous research suggested GXDSF had positive effect on cardiovascular disease. Therefore, the aim of this study was to elucidate the effects of GXDSF on myocardial ischemia reperfusion injury-induced left ventricular remodelling (MIRI-LVR). Methods: The effects of GXDSF on cardiac function were detected by haemodynamics and echocardiograms. The effects of GXDSF on biochemical parameters (AST, LDH and CK-MB) were analyzed. Histopathologic examinations were performed to evaluate the effect of GXDSF on cardiac structure. In addition, the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database was used to predict the main target of GXDSF. Target validation was conducted by using western blots and immunofluorescent double staining assays. Results: We found that Cdp/dt and LVSP were significantly elevated in the GXDSFtreated groups compared with the MIRI-LVR model group. Left ventricular ejection fraction (LVEF) and left ventricular fractional shortening (LVFS) were increased in the GXDSF-treated groups compared with the model group. All biochemical parameters (AST, LDH and CK-MB) were considerably decreased in the GXDSF-treated groups compared with the model group. Fibrosis parameters (collagen I and III, a-SMA, and left ventricular fibrosis percentage) were decreased to different degrees in the GXDSFtreated groups compared with the model group, and the collagen III/I ratio was elevated by the same treatments. TCMSP database prediction and western blot results indicated that estrogen receptor b (ERb) could be the main target of GXDSF. PHTPP, a selective antagonist of ERb, could inhibit the expression of ERb and the phosphorylation of PI3K and Akt in myocardial tissue induced by GXDSF, and partly normalize the improving effects of GXDSF on Cdp/dt, LVEF, LVFS, LDH, CK-MB, a-SMA and myocardial fibrosis. Conclusion: Collectively, GXDSF showed therapeutic potential for use in the prevention and treatment of myocardial ischemia reperfusion injury-induced ventricular remodeling by upregulating ERb via PI3K/Akt signaling. Moreover, these findings may be valuable in understand the mechanism of disease and provide a potential therapy of MIRI-IVR. [ABSTRACT FROM AUTHOR]

Hypertension is the most prevalent cardiovascular disease, affecting one-third of adults. All antihypertensive drugs have potential side effects. Gut metabolites influence hypertension. The objective of this study was to identify antihypertensive gut metabolites through network pharmacology and molecular docking techniques and to validate their antihypertensive mechanisms via in vitro experiments. A total of 10 core antihypertensive targets and 18 gut metabolites that act on hypertension were identified. Four groups of protein metabolites, namely, CXCL8-baicalein, CXCL8-baicalin, CYP1A1-urolithin A, and PTGS2-equol, which have binding energies of − 7.7, − 8.5, − 7.2, and − 8.8 kcal-mol−1, respectively, were found to have relatively high affinities. Based on its drug-likeness properties in silico and toxicological properties, equol was identified as a potential antihypertensive metabolite. On the basis of the results of network pharmacology and molecular docking, equol may exert antihypertensive effects by regulating the IL-17 signaling pathway and PTGS2. A phenylephrine-induced H9c2 cell model was subsequently utilized to verify that equol inhibits cell hypertrophy (P < 0.05) by inhibiting the IL-17 signaling pathway and PTGS2 (P < 0.05). This study demonstrated that equol has the potential to be developed as a novel therapeutic agent for the treatment of hypertension. [ABSTRACT FROM AUTHOR]

Malaria is a potentially fatal infective illness caused due to parasites that belong to the Plasmodium genus, which are transferred to humans with the help of the stings of affected female Anopheles mosquitoes, and it persists as a serious public wellness problem worldwide. Cordia myxa is a medicinal plant that possesses various medicinal characteristics like antimicrobial, anti-inflammation, antioxidant, and antidiabetic activities, which makes it an important natural resource for the therapy of different maladies in traditional medicine. In this investigation, a certain network pharmacology method has been utilized to identify the potent active components, possible targets as well as signaling pathways present in C. myxa in relation to malaria therapy. The active compounds were submitted to molecular docking approaches to validate their successful activity against the potential targets. The study concluded that three constituents named cosmosiin, stigmastanol, robinetin, and quercetin were highly active and could regulate the expression of Interleukin 6 (IL6) and Cysteine-aspartic acid protease 3 (CASP3), which may act as a potential therapeutic target for malaria treatment. These analyses are validated by molecular dynamics simulation which reflects on the overall structural stability of the intermolecular conformation and interactions. These results can also be witnessed in simulation-based trajectories binding free energies, which concluded the significant role of electrostatic and van der Waals energies in total intermolecular interactions. Finally, we utilized machine learning to predict the anti-malarial activity of C. myxa compounds, comparing them with approved drugs. Using the Chemprop model and MAIP predictions, we assessed ten compounds, revealing their potential as lead anti-malarial agents. This study establishes a groundwork for comprehending the function of the anti-malaria action of C. myxa. [ABSTRACT FROM AUTHOR]

Diffuse large B-cell lymphoma (DLBCL) is the most common lymphoma, and it is highly aggressive and heterogeneous. Targeted therapy is still the main treatment method used in clinic due to its lower risk of side effects and personalized medication. Excessive activation of PI3Kδ in DLBCL leads to abnormal activation of the PI3K/Akt pathway, promoting the occurrence and development of DLBCL. The side effects of existing PI3Kδ inhibitors limit their clinical application. The discovery of PI3Kδ inhibitors with novel structures and minimal side effects is urgently needed. This study constructed a PI3Kδ inhibitor screening model to screen natural product libraries. Revealing the mechanism of natural product therapy for DLBCL through network pharmacology, kinase assays, and molecular dynamics. The results of molecular docking indicated that Silibinin had a high docking score and a good binding mode with PI3Kδ. The results of network pharmacology indicated that Silibinin could exert therapeutic effects on DLBCL by inhibiting PI3Kδ activity and affecting the PI3K/Akt pathway. The kinase assays indicated that Silibinin concentration dependently inhibited the activity of PI3Kδ. The results of molecular dynamics indicated that Silibinin could stably bind to PI3Kδ. Silibinin was a structurally novel 3,5,7-trihydroxychroman-4-one PI3Kδ inhibitor, providing valuable information for the subsequent discovery of PI3Kδ inhibitors. [ABSTRACT FROM AUTHOR]

Abnormal melanogenesis upon UV exposure causes excessive oxidative stress, leading to hyperpigmentation disorders. As a key rate-limiting enzyme in melanogenesis, tyrosinase is considered a primary target for depigmenting agents. Sophora flavescens is used as a food and in traditional medicine as a valuable source of prenylated flavonoids. The present study aimed to elucidate the anti-melanogenic effect and potential mechanism of kuraridin, one of the major prenylated flavonoids. Kuraridin showed anti-tyrosinase activity with an IC50 value in the nanomolar range, superior to that of kojic acid, a positive control. It significantly reduced tyrosinase activity with the least cytotoxicity, suppressing melanogenesis in α-MSH-induced B16F10 cells. Furthermore, kuraridin considerably reduced melanogenesis in a 3D human skin model. To elucidate the anti-melanogenic mechanism of kuraridin, target genes (KIT, MAP2K1, and PRKCA) and pathways (c-KIT and ETB-R pathways) were identified using network pharmacology. KIT and MAP2K1 are simultaneously involved in the c-KIT cascade and are considered the most important in melanogenesis. PRKCA acts directly on MITF and its downstream enzymes through another pathway. Docking simulation showed strong interactions between kuraridin and c-KIT, ERK1/2, and PKC encoded by target genes. Overall, the present study showed kuraridin to be a novel natural anti-melanogenic agent in hyperpigmentation disorders. [ABSTRACT FROM AUTHOR]

A combination of network pharmacology, molecular docking and ADME/drug-likeness predictions was employed to explore the potential of Salvia officinalis compounds to interact with key targets involved in the pathogenesis of T2DM. These were predicted using the SwissTargetPrediction, Similarity Ensemble Approach and BindingDB databases. Networks were constructed using the STRING online tool and Cytoscape (v.3.9.1) software. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis and molecular docking were performed using DAVID, SHINEGO 0.77 and MOE suite, respectively. ADME/drug-likeness parameters were computed using SwissADME and Molsoft L.L.C. The top-ranking targets were CTNNB1, JUN, ESR1, RELA, NR3C1, CREB1, PPARG, PTGS2, CYP3A4, MMP9, UGT2B7, CYP2C19, SLCO1B1, AR, CYP19A1, PARP1, CYP1A2, CYP1B1, HSD17B1, and GSK3B. Apigenin, caffeic acid, oleanolic acid, rosmarinic acid, hispidulin, and salvianolic acid B showed the highest degree of connections in the compound-target network. Gene enrichment analysis identified pathways involved in insulin resistance, adherens junctions, metabolic processes, IL-17, TNF-α, cAMP, relaxin, and AGE-RAGE in diabetic complications. Rosmarinic acid, caffeic acid, and salvianolic acid B showed the most promising interactions with PTGS2, DPP4, AMY1A, PTB1B, PPARG, GSK3B and RELA. Overall, this study enhances understanding of the antidiabetic activity of S. officinalis and provides further insights for future drug discovery purposes. [ABSTRACT FROM AUTHOR]

Background: Huanglianjiedu decoction (HLJDD) is a classical Traditional Chinese Medicine (TCM) prescription with thousand years of clinical use against various malignancies, including pancreatic adenocarcinoma (PAAD). However, its potential bioactive component and molecular mechanism remains unclear. Aims: This study is to inspect the HLJDD mechanisms of action against PAAD via integrated computational and pharmacochemistry strategy, in vivo and in vitro experiments to validate associated targets and pathways. Methods: A PAAD xenograft model was established by subcutaneous injecting Panc02 cells into C57BL/6 mice. Ultra-high performance liquid chromatography with tandem mass spectrometry (UHPLC-MS/MS) was engaged to determine constituents of HLJDD and assessed for pharmacokinetic scheme using the TCM Systems Pharmacology Platform (TCM-SP). Differentially expressed genes (DEGs) of PAAD was retrieved from the transcriptome dataset GSE43795, followed by recognizing overlapping targets the oncogenes and target genes of PAAD and HLJDD, respectively. Putative signaling pathways of HLJDD in treating PAAD were enriched using KEGG and GO analyses. The anti-PAAD effects of HLJDD was assessed in vivo and in vitro, besides, the potential mechanism was validated using immunoblotting and immunohistochemical assays. Results: HLJDD significantly suppressed the growth of transplanted PAAD tumors, constrained PAAD progression, and induced apoptosis and S-phase arrest. Seventy-five active components meeting the drug-likeness criteria and 278 target genes of HLJDD were identified. KEGG analysis indicated that the top three enriched pathways were cancer, AGE-RAGE signaling, and IL-17 signaling pathways. Disease enrichment analysis highlighted immune, pharmacological, and cancer-related diseases as the top three categories. A total of 47 potential target genes were identified. Immunoblotting revealed that HLJDD inhibited PI3K and MAPK-related signaling pathways, while immunohistochemical staining confirmed that HLJDD suppressed the expression of phosphorylated MAPK and ERK1/2. Conclusion: HLJDD inhibited PAAD in vitro and in vivo via the modulation of multiple mechanisms, including regulation of PI3K/AKT/mTOR and MAPK/ERK1/2 signaling pathways. [ABSTRACT FROM AUTHOR]

Objective: To explore the pharmacodynamic ingredients and pharmacologic mechanism of Haizao Yuhu Decoction (HYD) in treating hyperthyroidism via an analysis integrating network pharmacology, molecular docking, and nontargeted serum metabolomics. Methods: Therapeutic targets of hyperthyroidism were searched through multiarray analyses in the Gene Expression Omnibus (GEO) database. Hub genes were subjected to the construction of a protein-protein interaction (PPI) network, and GO and KEGG enrichment analyses. Targets of active pharmaceutical ingredients (APIs) in HYD and those of hyperthyroidism were intersected to yield hub genes, followed by validations via molecular docking and non-targeted serum metabolomics. Results: 112 hub genes were identified by intersecting APIs of HYD and therapeutic targets of hyperthyroidism. Using ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) in both negative and positive ion polarity modes, 279 compounds of HYD absorbed in the plasma were fingerprinted. Through summarizing data yielded from network pharmacology and non-targeted serum metabolomics, 214 common targets were identified from compounds of HYD absorbed in the plasma and therapeutic targets of hyperthyroidism, including PTPN11, PIK3CD, EGFR, HRAS, PIK3CA, AKT1, SRC, PIK3CB, and PIK3R1. They were mainly enriched in the biological processes of positive regulation of gene expression, positive regulation of MAPK cascade, signal transduction, protein phosphorylation, negative regulation of apoptotic process, positive regulation of protein kinase B signaling and positive regulation of MAP kinase activity; and molecular functions of identical protein binding, protein serine/threonine/tyrosine kinase activity, protein kinase activity, RNA polymerase II transcription factor activity, ligand-activated sequence-specific DNA binding and protein binding. A total of 185 signaling pathways enriched in the 214 common targets were associated with cell proliferation and angiogenesis. Conclusion: HYD exerts a pharmacological effect on hyperthyroidism via inhibiting pathological angiogenesis in the thyroid and rebalancing immunity. [ABSTRACT FROM AUTHOR]

Muscular dystrophies encompass a heterogeneous group of rare neuromuscular diseases characterized by progressive muscle degeneration and weakness. Among these, Duchenne muscular dystrophy (DMD) stands out as one of the most severe forms. The present study employs an integrative approach combining network pharmacology, quantitative structure-activity relationship (QSAR) modeling, molecular dynamics (MD) simulations, and free energy calculations to identify potential therapeutic targets and natural compounds for DMD. Upon analyzing the GSE38417 dataset, it was found that individuals with DMD exhibited 290 upregulated differentially expressed genes (DEGs) compared to healthy controls. By utilizing gene ontology (GO) and proteinprotein interaction (PPI) network analysis, this study provides insights into the functional roles of the identified DEGs, identifying ten hub genes that play a critical role in the pathology of DMD. These key genes include DMD, TTN, PLEC, DTNA, PKP2, SLC24A, FBXO32, SNTA1, SMAD3, and NOS1. Furthermore, through the use of ligand-based pharmacophore modeling and virtual screening, three natural compounds were identified as potential inhibitors. Among these, compounds 3874518 and 12314417 have demonstrated significant promise as an inhibitor of the SMAD3 protein, a crucial factor in the fibrotic and inflammatory mechanisms associated with DMD. The therapeutic potential of the compounds was further supported by molecular dynamics simulation and Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) analysis. These findings suggest that the compounds are viable candidates for experimental validation against DMD. [ABSTRACT FROM AUTHOR]

Breast Cancer (BC) is the most common cause of cancer-associated deaths in females worldwide. Despite advancements in BC treatment driven by extensive characterization of its molecular hallmarks, challenges such as drug resistance, tumor relapse, and metastasis persist. Therefore, there is an urgent need for alternative treatment approaches with multi-modal efficacy to overcome these hurdles. In this context, natural bioactives are increasingly recognized for their pivotal role as anti-cancer compounds. This study focuses on predicting molecular targets for key herbal phytoconstituents—gallic acid, piperine, quercetin, resveratrol, and beta-sitosterol—present in the polyherbal formulation, Krishnadi Churna. Using an in-silico network pharmacology model, key genes were identified and docked against these marker compounds and controls. Mammary carcinoma emerged as the most significant phenotype of the putative targets. Analysis of an online database revealed that out of 135 predicted targets, 134 were mutated in breast cancer patients. Notably, ESR1, CYP19A1, and EGFR were identified as key genes which are known to regulate the BC progression. Docking studies demonstrated that the herbal phytoconstituents had similar or better docking scores than positive controls for these key genes, with convincing protein-ligand interactions confirmed by molecular dynamics simulations, MM/GBSA and free energy landscape (FEL) analysis. Overall, this study highlights the predictive potential of herbal phytoconstituents in targeting BC genes, suggesting their promise as a basis for developing new therapeutic formulations for BC. [ABSTRACT FROM AUTHOR]

Diabetes mellitus is a chronic metabolic disorder affecting millions of people worldwide and causes serious complications such as diabetic nephropathy. Curcumin, a natural polyphenol derived from turmeric, has demonstrated antidiabetic, anti‐inflammatory, and antioxidant properties. However, the molecular mechanisms underlying curcumin's anti‐diabetic effects remain incompletely understood. This study employed network pharmacology, molecular docking, and simulation techniques to explore the potential targets, and key pathways of curcumin in the treatment of diabetes. Using SwissTarget prediction and Superpred databases, we predicted the molecular targets for curcumin, while diabetes‐associated genes were obtained from DisGeNet. We identified 60 common targets for curcumin in diabetes. Protein‐protein interaction (PPI) analysis revealed three sub‐networks and ten hub genes with AKT1, TNF‐α, EGFR, and STAT3 identified as key hub genes that could serve as potential biomarkers. Gene enrichment analysis indicated that these genes primarily regulate insulin resistance and other metabolic pathways. Quantum‐polarized ligand docking (QPLD) showed that curcumin establishes multiple hydrogen and hydrophobic interactions with the essential amino acids of these hub targets. Molecular simulation results demonstrated stable dynamic behavior, a compact structure, and variations in residue flexibility. Binding free energy calculations using MM/GBSA and MM/PBSA methods validate curcumin's strong binding to the potential targets. Total binding free energy using MM/GBSA ranged from −21.35 to −30.94 kcal/mol while MM/PBSA calculations showed total binding free energy values between −19.80 and −26.66 kcal/mol. Altogether, this study provides valuable insights into the molecular targets of curcumin in diabetes and lays the foundation for future advancements in diabetes treatment. [ABSTRACT FROM AUTHOR]

Background: Type 2 diabetes mellitus is a metabolic disease categorized by hyperglycemia, resistance to insulin, and ß-cell dysfunction. Around the globe, approximately 422 million people have diabetes, out of which 1.5 million die annually. In spite of innovative advancements in the treatment of diabetes, no biological drug has been known to successfully cure and avert its progression. Thereupon, natural drugs derived from plants are emerging as a novel therapeutic strategy to combat diseases like diabetes. Objective: The current study aims to investigate the antidiabetic potential of natural compounds of Oryza sativa L. indica (black rice) in disease treatment. Methods: Antioxidant activity and alpha amylase assays were performed to evaluate the therapeutic potential of the extract of Oryza sativa L. indica. Gas chromatography-mass spectrometry (GC-MS) was used for identification of constituents from the ethanol extract. ADMET profiling (absorption, distribution, metabolism, excretion, and toxicity), network pharmacology, and molecular dynamics simulation were employed in order to uncover the active ingredients and their therapeutic targets in O. sativa L. indica against type 2 diabetes mellitus. Results: GC-MS of the plant extract provided a list of 184 compounds. Lipinski filter and toxicity parameters screened out 18 compounds. The topological parameters of the protein-protein interaction (PPI) were used to shortlist the nine key proteins (STAT3, HSP90AA1, AKT1, SRC, ESR1, MAPK1, NFKB1, EP300, and CREBBP) in the type 2 diabetes mellitus pathways. Later, molecular docking analysis and simulations showed that C14 (1H-purine-8-propanoic acid, alpha.-amino-2, 3, 6, 7-tetrahydro-1,3,7-trimethyl-2,6-dioxo-) and C18 (cyclohexanecarboxamide, N-furfuryl) bind with AKT1 and ESR1 with a binding energy of 8.1, 6.9, 7.3, and 7.2 kcal/mol, respectively. RMSD (root-mean-square deviation) and RMSF (root-mean-square fluctuation) values for AKT1 and ESR1 have shown very little fluctuation, indicating that proteins were stabilized after ligand docking. Conclusion: This study suggests therapeutic drug candidates against AKT1 and ESR1 to treat type 2 diabetes mellitus. However, further wet-lab analysis is required to discover the best remedy for type 2 diabetes mellitus. [ABSTRACT FROM AUTHOR]

Introduction: Hyperlipidemia is a condition characterized by abnormal levels of lipids and lipoproteins in the plasma, posing significant health risks. Ferulic acid (FA) is an organic acid with therapeutic properties for diabetes and hyperlipidemia. Methods: To explore biomarkers for FA treatment of hyperlipidemia and elucidate the mechanisms of lipid-lowering-related changes in metabolic pathways by metabolomics and network pharmacology. Initially, a hyperlipidemic mouse model induced by triton WR-1339 was established to evaluate the therapeutic effects of FA. Subsequently, serum metabolomics was utilized to identify differential metabolites, and metabolic pathway analysis was performed using MetaboAnalyst 6.0. Thirdly, network pharmacology was employed to identify potential targets of FA for hyperlipidemia. Finally, the compound-target-metabolite (C-T-M) network obtained core targets and validated them with molecular docking. Results: Biochemical analysis and histological examination showed that FA had lipid-lowering effects on hyperlipidemic mice. It identified 31 potential biomarkers for FA against hyperlipidemia by metabolomics involving lipid and amino acid metabolism. Lipid and atherosclerosis signaling pathways were identified as the key signaling pathways of FA against hyperlipidemia by KEGG analysis. Conjoint analysis showed that FA against hyperlipidemia was associated with 18 core targets and six biomarkers. Molecular docking results showed that FA has a high binding affinity to these core targets. Discussion: Through the synergy of network pharmacology and metabolomics, this study provides insights into how FA regulates endogenous metabolites, underscoring its promise as a treatment for hyperlipidemia. [ABSTRACT FROM AUTHOR]

Iron deficiency anemia is a global health concern, affecting around 2 billion people. Oral iron therapy often causes severe gastro‐intestinal issues. Eruca sativa, member of the Brassicaceae family, is valued in traditional medicine and renowned for its rich iron and vitamin C content. This study aims to evaluate the anti‐anemic properties of E. sativa extract in vivo and identify its compounds targeting anemia mechanisms using network pharmacology. Thirty‐two Sprague–Dawley rats (200 ± 250 g) were split into two distinct groups, iron‐deficient and iron‐sufficient. Three different doses (200, 400, and 800 mg/kg) of aqueous extract of E. sativa were checked against anemia by studying hematological, oxidative stress, and histopathological parameters. GC–MS analysis of E. sativa revealed its phytochemical profile, followed by ADME screening. Network pharmacology explored targets related to iron deficiency anemia, with oral bioavailability and drug likeness assessment for compounds. The administration of extracts significantly improved various blood parameters, including osmotic fragility, Hb, RBCs, MCV, PCV, and alkaline phosphatase; catalase activity; and histopathological parameters such as liver in both iron‐deficient and iron‐sufficient rats (p <.001). Seventy‐nine compounds were identified in E. sativa aqueous extract, with only six of them found to be bioavailable and drug‐like against multiple targets. Gene ontology and pathway analysis revealed their diverse molecular, biological, and cellular functions. One gene EGFR was found to have functional association with ID anemia, suggesting potential for using E. sativa extracts. The study concludes that E. sativa extract has potential for iron deficiency anemia treatment, offering hope for future pharmaceutical interventions. [ABSTRACT FROM AUTHOR]

Gynostemma pentaphyllum, a traditional Chinese medicine, is widely used to treat various diseases, but its therapeutic effects and mechanisms of action on hyperlipidemia remain unclear. This study aims to investigate the effects of Danshen leaf on hyperlipidemia through network pharmacology, molecular docking, and cellular experiments, elucidating its multifaceted mechanism of action within the LOX1‐PI3K‐AKT‐eNOS pathway. First, the active ingredients and targets of G. pentaphyllum were screened using the Traditional Chinese Medicine Systems Pharmacology database. Then, targets for hyperlipidemia were identified using the OMIM and GeneCards databases, and potential therapeutic targets for G. pentaphyllum in treating hyperlipidemia were determined. An active ingredient‐target network was constructed using Cytoscape software, and a protein–protein interaction (PPI) network was built and visualized using the STRING database and Cytoscape software. Finally, GO functional and KEGG pathway enrichment analyses were performed, and the predicted mechanisms were validated through molecular docking and cell experiments. 85 targets for G. pentaphyllum and 1556 for Hyperlipidemia were screened, with 53 common targets. Twenty‐four active ingredients of G. pentaphyllum were found to be involved in the treatment of hyperlipidemia. Key nodes such as Rhamnazin, Isofucosterol, and quercetin, and targets NCOA2, NR3C2, PGR, and PPARG showed high relevance. In the PPI network, 8 nodes, including IL6, PPARG, and VEGFA, exhibited high centrality. GO functional and KEGG pathway enrichment analyses indicated that G. pentaphyllum may treat hyperlipidemia by influencing various biological functions and pathways, such as DNA‐binding transcription factor binding, RNA polymerase II‐specific DNA‐binding transcription factor binding, and lipid and atherosclerosis. Cell experiments demonstrated that G. pentaphyllum significantly regulated the expression of key proteins in the LOX1‐PI3K‐AKT‐eNOS pathway, thereby improving hyperlipidemia. G. pentaphyllum improves hyperlipidemia by mediating the LOX1‐PI3K‐AKT‐eNOS pathway. This study provides a new theoretical basis and experimental evidence for applying G. pentaphyllum to treating hyperlipidemia. [ABSTRACT FROM AUTHOR]

Alzheimer's disease (AD) is an age-associated neurodegenerative condition marked by amyloid plaques, synaptic dysfunction, and neuronal loss. Besides conventional medical care, herbal therapies, both raw and refined, have attracted researchers for their potential therapeutic effects. As a proof-of-concept, our study combined HPLC-DAD analysis of bioactive constituents, network pharmacology, molecular dynamics (MD), molecular docking, post-MD analysis, and experimental verification to investigate the mechanisms of crude drug formulations as a therapeutic strategy for AD. We identified nine bioactive compounds targeting 188 proteins and 1171 AD-associated genes. Using a Venn diagram, we found 47 overlapping targets, forming "herb-compound-target (HCT)" interaction networks and a protein‒protein interaction (PPI) network. Simulations analyzed binding interactions among the three core targets and their compounds. MD assessed the stability of the best-ranked poses and beneficial compounds for each protein. Among the top 22 hub genes, AChE, BChE, and MAO, ranked 10, 14, and 34, respectively, were selected for further analysis. Two tetraherbal formulations, Form A and Form B, showed notable activity against AChE. Form A exhibited significant (p < 0.0001) inhibitory activity (IC50 = 114.842 ± 2.084 µg/mL) compared to Form B (IC50 = 142.829 ± 4.258 µg/mL), though weaker than galantamine (IC50 = 27.950 ± 0.122 µg/mL). Form B had significant inhibitory effects on BChE (IC50 = 655.860 ± 32.812 µg/mL) compared to Form A (IC50 = 679.718 ± 20.656 µg/mL), but lower than galantamine (IC50 = 23.126 ± 0.683 µg/mL). Both forms protected against Fe2+-mediated brain injury by inhibiting MAO. Docking identified quercetin (−10.2 kcal/mol) and myricetin (−10.1 kcal/mol) for AChE; rutin (−10.6 kcal/mol) and quercetin (−9.7 kcal/mol) for BChE; and kaempferol (−9.1 kcal/mol) and quercetin (−8.9 kcal/mol) for MAO. These compounds were thermodynamically stable based on MD analysis. Collectively, the results offer a scientific rationale for the use of these specifically selected medicinal herbs as AD medications. [ABSTRACT FROM AUTHOR]

Background: Obesity is gradually becoming a widespread health problem, and treatment using natural compounds has seen an increasing trend. As a by-product of hazelnut, hazel leaf is usually disposed of as waste, but it is widely used in traditional and folk medicines around the world. Aim of this study: Based on previous studies, the effects of the regulation of lipid metabolism and the mechanism of hazel leaf polyphenol extraction obesity were investigated. Methods: In this study, a high-fat diet-fed mouse model of obesity and 3T3-L1 preadipocytes were established. The ameliorative effects of the hazel leaf polyphenol extract on obesity and the regulating lipid metabolisms were explored based on network pharmacology, gut microbiota, and molecular docking. Results: Network pharmacology showed that hazel leaf polyphenols may play a role by targeting key targets, including PPARγ, and regulating the PPAR signaling pathway. They significantly improved body weight gain, the liver index, and adiposity and lipid levels; regulated the gut microbiota and short-chain fatty acid contents; down-regulated the expression of lipid synthesis proteins SREBP1c, PPARγ, and C/EBP-α; and up-regulated the expression of p-AMPK in obese mice. They inhibited the differentiation of 3T3-L1 cells, and the expression of related proteins is consistent with the results in vivo. The molecular docking results indicated that gallic acid, quercetin-3-O-beta-D-glucopyranoside, quercetin, myricetin, and luteolin-7-O-glucoside in the hazel leaf polyphenol extract had strong binding activities with PPARγ, C/EBP-α, and AMPK. Conclusions: The results demonstrate that the hazel leaf polyphenol extract can improve obesity by regulating lipid metabolism, which provides a valuable basis for developing health products made from hazel leaf polyphenols in the future. [ABSTRACT FROM AUTHOR]

Background: Glaucoma is a progressive optic neuropathy characterized by the neurodegeneration and death of retinal ganglion cells (RGCs), leading to blindness. Current glaucoma interventions reduce intraocular pressure but do not address retinal neurodegeneration. In this effort, to identify new pharmacological targets for glaucoma management, we employed a network pharmacology approach. Methods: We first retrieved transcriptomic data from GEO, an NCBI database, and carried out GEO2R (an interactive web tool aimed at comparing two or more groups of samples in a GEO dataset). The GEO2R statistical analysis aimed at identifying the top differentially expressed genes (DEGs) and used these as input of STRING (Search Tool for the Retrieval of Interacting Genes/Proteins) app within Cytoscape software, which builds networks of proteins starting from input DEGs. Analyses of centrality metrics using Cytoscape were carried out to identify nodes (genes or proteins) involved in network stability. We also employed the web-server software MIRNET 2.0 to build miRNA–target interaction networks for a re-analysis of the GSE105269 dataset, which reports analyses of microRNA expressions. Results: The pharmacological targets, identified in silico through analyses of the centrality metrics carried out with Cytoscape, were rescored based on correlations with entries in the PubMed and clinicaltrials.gov databases. When there was no match (82 out of 135 identified central nodes, in 8 analyzed networks), targets were considered "potential innovative" targets for the treatment of glaucoma, after further validation studies. Conclusions: Several druggable targets, such as GPCRs (e.g., 5-hydroxytryptamine 5A (5-HT5A) and adenosine A2B receptors) and enzymes (e.g., lactate dehydrogenase A or monoamine oxidase B), were found to be rescored as "potential innovative" pharmacological targets for glaucoma treatment. [ABSTRACT FROM AUTHOR]

Background: Arthritis, a debilitating joint disease, remains a significant global health burden. This study uncovers the therapeutic potential of the medicinal plant Smilax glabra Roxb. (SGR) in attenuating progression of disease by modulating immune responses. Methods: Through computational approaches, key bioactive compounds in SGR were identified by using freely available databases: TCMSP, TCMID, HIT2.0, HERB, and INPUT in order to elucidate their underlying mechanisms of action. Therapeutic targets for the disease have been retrieved by TTD, GeneCard, and OMIM databases. The STRING database was used to analyze the protein–protein interactions (PPI) of intersecting genes. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to reveal the functional roles of genes. Mcule was used for molecular docking and binding affinity of compounds and targets were evaluated by DeepPurpose model. ALP activity, cell viability assay, TRAP staining were also performed. Results: A total of 14 active SGR compounds with 59 common targets for arthritis have been identified. These targets have a major role in controlling biological processes such as wound healing, oxygen responses, and chemical stimuli. Molecular docking by Mcule platform demonstrated that quercetin and β-sitosterol showed higher binding energy affinities with TNF, TP53, PTGS2, and JUN as compared to other targets. To explore the complex relationship between compounds and targets, pre-trained Davis and KIBA models were used to predict the affinity values of selected compounds. In MC3T3-E1 cells, ALP activity was significantly increased and bone marrow macrophages (BMM) showed a low number of TRAP-positive cells in SGR-treated cells. Conclusions: Our findings demonstrate that SGR effectively inhibits/regulates inflammatory responses, prevents cartilage degradation, promotes bone regeneration, and can be used as a promising candidate for the development of novel arthritis treatment. [ABSTRACT FROM AUTHOR]

Background: Polygonum orientale L. (PO) has demonstrated notable efficacy in treating coronary heart disease. Previous research identified eight key active components in PO for cardiomyocyte protection, but the underlying mechanisms remained unclear; Methods: Network pharmacology and molecular docking were used to identify potential target proteins of PO's active components. Experimental models assessed the cardioprotective effects and mechanisms; Results: Network analysis and molecular docking revealed that the active components exhibited the highest binding affinity with SOD2, indicating it as a key element in the cardiac protection of PO. In vivo, PO extract improved myocardial structure and function, and increased SOD2 protein levels. In vitro, the active components of PO (Mixture) mitigated oxidative stress and apoptosis, upregulating SIRT3 and decreasing acetylated SOD2, leading to increased SOD2 and reduced ROS levels. The observed effects were reversed by a SIRT3 inhibitor, indicating the involvement of the SIRT3/SOD2 signaling pathway; Conclusions: This comprehensive approach elucidated the critical mechanisms underlying the cardioprotective properties of PO's bioactive constituents, highlighting the regulation of the SIRT3/SOD2 signaling pathway as a new mechanism for PO's anti-cardiovascular disease effects, and suggesting the Mixture's potential as a promising drug candidate. [ABSTRACT FROM AUTHOR]

Objectives: Network pharmacology is essential for understanding the multi-target and multi-pathway therapeutic mechanisms of traditional Chinese medicine. This study aims to evaluate the influence of database quality on target identification and to explore the therapeutic potential of rhynchophylline (Rhy) in treating overactive bladder (OAB). Methods: An OAB dataset was constructed through extensive literature screening. Using this dataset, we applied network pharmacology to predict potential targets for Rhy, which is known for its therapeutic effects but lacks a well-defined target profile. Predicted targets were validated through in vitro experiments, including DARTS and CETSA. Results: Our analysis identified Rhy as a potential modulator of the M3 receptor and TRPM8 channel in the treatment of OAB. Validation experiments confirmed the interaction between Rhy and these targets. Additionally, the GeneCards database predicted other targets that are not directly linked to OAB, corroborated by the literature. Conclusions: We established a more accurate and comprehensive dataset of OAB targets, enhancing the reliability of target identification for drug treatments. This study underscores the importance of database quality in network pharmacology and contributes to the potential therapeutic strategies for OAB. [ABSTRACT FROM AUTHOR]

Objective: To explore the effect and anxiolytic mechanism of a natural remedy called Fructus gardeniae (FG). Methods: The elevated-plus maze (EPM) test was used to confirm the anxiolytic effect of FG. The potential and anxiolytic components, targets, and route processes of FG were investigated using the network pharmacology method in conjunction with metabolomics and molecular docking technologies. Results: FG could greatly enhance the proportion of time and times of opening arms, according to the EPM data. As to the metabolomics findings, a total of 61 distinct metabolites were found, mainly involved in glycine, serine, and threonine metabolism as well as alanine, aspartate, and glutamate metabolism. The primary active ingredients of FG, nicotiflorin, jasminodiol, and crocetin, demonstrated substantial binding affinities with monoamine oxidase A (MAOA), monoamine oxidase A (ACHE), malate dehydrogenase 2 (MDH2), glutamate decarboxylase 2 (GAD2), glutamate decarboxylase 1 (GAD1), and nitric oxide synthase (NOS1), according to the findings of network pharmacology and molecular docking. Conclusion: FG exerts an anxiolytic action via targeting MAOA, ACHE, MDH2, GAD2, GAD1, and NOS1, and regulating the metabolism of glycine, serine, and threonine as well as alanine, aspartic acid, and glutamic acid. [ABSTRACT FROM AUTHOR]

Objectives: Non-alcoholic fatty liver disease (NAFLD) is a nutritional and metabolic disease with a high prevalence today. Artemisia capillaris has anti-inflammatory, antioxidant, and other effects. However, the mechanism of A. capillaris in treating NAFLD is still poorly understood. Methods: This study explored the mechanism of A. capillaris in the treatment of NAFLD through network pharmacology and molecular docking, and verified the results through in vivo experiments using a high-fat diet-induced mouse model and in vitro experiments using an oleic acid-induced HepG2 cell model. Key findings: Aqueous extract of A. capillaris (AEAC) can reduce blood lipids, reduce liver lipid accumulation and liver inflammation in NAFLD mice, and improve NAFLD. Network pharmacology analysis revealed that 51 drug ingredients in A. capillaris correspond to 370 targets that act on NAFLD. GEO data mining obtained 93 liver differentially expressed genes related to NAFLD. In the UHPLC-MS detection results, 36 components were characterized and molecular docked with JNK. Verified in vitro and in vivo, the results show that JNK and the phosphorylation levels of IL-6, IL-1β, c-Jun, c-Fos, and CCL2 are key targets and pathways. Conclusions: This study confirmed that AEAC reduces lipid accumulation and inflammation in the liver of NAFLD mice by inhibiting the JNK/AP-1 pathway. [ABSTRACT FROM AUTHOR]

Objectives: Asthma is a heterogeneous disease characterized by chronic airway inflammation. Huashanshen dripping pills (HSS) are commonly utilized for relieving asthma, relieving cough, and expelling phlegm. At present, the molecular mechanism against airway inflammation remains unclear. Methods: In this study, network pharmacology, molecular docking technology, and molecular dynamic simulation were used to predict the therapeutic pathways of HSS for asthma. The ovalbumin-induced mouse model was used to further validate the prediction by RT-qPCR, western blot, immunofluorescence, and related methods. Key findings: The findings indicate that HSS improves lung function and relieves lung inflammation by reducing inflammatory cell infiltration around the bronchus and reducing eosinophilic counts in bronchoalveolar lavage fluid (BALF). In addition, it lowers the levels of inflammatory cytokines and the expression levels of interleukin-4, interleukin-5, and interleukin-13 mRNA. HSS also inhibits the phosphorylation and nuclear translocation of NF-κB p65 protein. Conclusions: All results suggested that HSS can decrease airway inflammation in asthmatic mice by inhibiting NF-κB signaling pathway. This finding will shed light on how it can be used to treat asthma. [ABSTRACT FROM AUTHOR]

Obesity, characterized by the excessive accumulation of fat, is a prevalent metabolic disorder that poses a significant global health concern. Triphala, an herbal combination consisting of Phyllanthus emblica Linn, Terminalia chebula Retz, and Terminalia bellerica (Gaertn) Roxb, has emerged as a potential solution for addressing concerns related to obesity. This study aimed to investigate the network pharmacology and molecular docking of Triphala to identify its bioactive ingredients and their interactions with pathways associated with obesity. The bioactive compounds present in Triphala and genes linked to obesity were identified, followed by an analysis of the protein-protein interaction networks. Enrichment analysis, including Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis, was conducted. Prominent genes and compounds were selected for further investigation through molecular docking studies. The study revealed a close correlation between obesity and the AKT1 and PPARG genes. The observed binding energy between beta-sitosterol, 7-dehydrosigmasterol, peraksine, α-amyrin, luteolin, quercetin, kaempferol, ellagic acid, and phyllanthin with AKT1 and PPARG indicated a favorable binding affinity. In conclusion, nine compounds showed promise in regulating these genes for obesity prevention and management. Further research is required to validate their specific effects. [ABSTRACT FROM AUTHOR]

The occurrence of type 2 diabetes mellitus (T2DM), a worldwide chronic disease, is mainly caused by insufficient insulin production and places a huge burden on the health system. Gastrodia elata Blume (GE), a food of medicine–food homology, has been reported to have the ability to inhibit glycosidase activity, indicating its potential in the treatment of diabetes. However, the main pharmacological components of GE for the treatment of T2DM have not been fully clarified. Therefore, this study aims to clarify the pharmacological components changes of GE with different drying methods and the treatment of T2DM using HPLC, network pharmacology, molecular docking and experimental evaluations. The results showed that the GE samples processed by the steam-lyophilized method possessed the highest total content of the six marker components and the strongest antioxidant and α-glucosidase inhibitory abilities. Meanwhile, the six marker compounds had a total of 238 T2DM-related gene targets. Notably, these active compounds have good affinity for key gene targets associated with T2DM signaling pathways. In conclusion, this study revealed that different drying methods of GE affect the content of its major active compounds, antioxidant capacity, α-glucosidase inhibitory capacity and potential pharmacological effects on T2DM, indicating that it is a potential treatment of T2DM. [ABSTRACT FROM AUTHOR]

BACKGROUND: Betel nut chewing is a significant risk factor for oral cancer due to arecoline, its primary active component. Resveratrol, a non‐flavonoid polyphenol, possesses anti‐cancer properties. It has been shown to inhibit arecoline‐induced oral malignant cells in preliminary experiments but the underlying mechanism remains unclear. This research therefore aimed to explore the potential therapeutic targets of resveratrol in treating arecoline‐induced oral cancer. METHODS: Data mining identified common targets and hub targets of resveratrol in arecoline‐induced oral cancer. Gene set variation analysis (GSVA) was used to score and validate the expression and clinical significance of these hub targets in head and neck cancer (HNC) tissues. Molecular docking analysis was conducted on the hub targets. The effect of resveratrol intervention on hub targets was verified by experiments. RESULTS: Sixty‐one common targets and 15 hub targets were identified. Hub targets were highly expressed in HNC and were associated with unfavorable prognoses. They played a role in HNC metastasis, epithelial‐mesenchymal transition, and invasion. Their expression also affected immune cell infiltration and correlated negatively with sensitivity to chemotherapeutic agents such as bleomycin and docetaxel. Experiments demonstrated that resveratrol down‐regulated the expression of the hub targets, inhibited their proliferation and invasion, and induced apoptosis. CONCLUSION: Resveratrol inhibits the arecoline‐induced malignant phenotype of oral epithelial cells by regulating the expression of some target genes, suggesting that resveratrol may be used not only as an adjuvant treatment for oral cancer, but also as an adjuvant for oral cancer prevention due to its low toxicity and high efficacy. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Background: Systemic lupus erythematosus is a chronic autoimmune inflammatory disease characterized by multiple symptoms. The phenolic acids and other flavonoids in Nelumbo nucifera have anti-oxidants, anti-inflammatory, and immunomodulatory activities that are essential for managing SLE through natural sources. This study employs network pharmacology to unveil the multi-target and multi-pathway mechanisms of Nelumbo nucifera as a complementary therapy. The findings are validated through molecular modeling, which includes molecular docking followed by a molecular dynamics study. Methods: Active compounds and targets of SLE were obtained from IMPPAT, KNApAcKFamily and SwissTargetPrediction databases. SLE-related targets were retrieved from GeneCards and OMIM databases. A protein–protein interaction (PPI) network was built to screen out the core targets using Cytoscape software. ShinyGO was used for GO and KEGG pathway enrichment analyses. Interactions between potential targets and active compounds were assessed by molecular docking and molecular dynamics simulation study. Results: In total, 12 active compounds and 1190 targets of N. nucifera's were identified. A network analysis of the PPI network revealed 10 core targets. GO and KEGG pathway enrichment analyses indicated that the effects of N. nucifera are mediated mainly by AGE-RAGE and other associated signalling pathways. Molecular docking indicated favourable binding affinities, particularly leucocianidol exhibiting less than −4.5 kcal/mol for all 10 targets. Subsequent molecular dynamics simulations of the leucocianidol-ESR1 complex aimed to elucidate the optimal binding complex's stability and flexibility. Conclusions: Our study unveiled the potential therapeutic mechanism of N. nucifera in managing SLE. These findings provide insights for subsequent experimental validation and open up new avenues for further research in this field. [ABSTRACT FROM AUTHOR]

Clerodendrum viscosum Vent. is a well-known plant in Indian and Chinese traditional medicine systems. While studies showed its crude leaf extract's cytotoxicity against HT-29 and HeLa cells, various non-bioactive compounds present in crude extracts may influence overall bioactivity. This study aimed to separate the most bioactive fractions from Clerodendrum viscosum 's crude extracts that exhibit anticancer potential against HepG2 cells. Crude extracts were fractionated using a solvent-polarity-based process and their anticancer activity was investigated through in vitro, in silico, and network pharmacology approaches. Nonpolar leaf (CVL H) and root (CVR H) fractions showed maximum cytotoxicity in HepG2 cells without affecting noncancer-origin WRL68 cells. Both extracts induced oxidative stress, DNA damage, cell cycle arrest, and apoptosis in HepG2 cells, with CVR H exhibiting a superior effect. GC-MS analysis identified various anticancer phytochemicals differentially present in CVL H and CVR H. Network pharmacology with these phytochemicals predicted Bcl-2 as the primary target, while molecular docking confirmed lupeol, stigmasterol, alpha-amyrin, cycloartenol, and calysterol being the top five phytochemicals exhibiting strong binding against Bcl-2, androgen receptor (AR), and epidermal growth factor receptor (EGFR). Western blot confirmed an elevated Bax/Bcl-2 ratio in HepG2 cells by CVL H and CVR H. In summary, the nonpolar fractions of Clerodendrum viscosum leaf and root crude extracts showed enhanced anticancer activity, suggesting their potential pharmaceutical applications. [Display omitted] • Separation of natural bioactive fractions from medicinal plant Clerodendrum viscosum. • Selective toxicity of nonpolar leaf (CVL H) & root (CVR H) fractions in HepG2 cells. • Mitochondrial dysfunction, DNA damage, apoptosis & cell cycle arrest by CVL H & CVR H. • Main target of CVL H & CVR H for anti-liver cancer activity: Bcl-2. • Low K i for CVL H & CVR H bioactive compounds-key liver cancer protein interactions. [ABSTRACT FROM AUTHOR]

• Clerodendrum glandulosum (CG) species have not been explored for diabetic wound healing. • This species is rich in phenylethanoid glycosides (PhGs), a subclass of polyphenols. • Verbascoside, isoverbascoside, martynoside, and isomartynoside are the four PhGs. • This study explores the diabetic wound healing property of the PhGs in CG by in-silico approaches. The diabetic wound is one of the severe complications of diabetes mellitus, accounting for 20 % of limb amputations in diabetic patients. This creates a need to search for newer natural compounds to target the different molecular pathways of diabetic wounds to accelerate the repair. The phenylethanoid glycosides (PhGs) isolated from Clerodendrum glandulosum (CG) have been shown to exhibit antioxidant, antimicrobial, and anti-inflammatory properties but have never been explored for diabetic wound healing. Thus, this study focuses on exploring the diabetic wound-repairing properties of PhGs through in-silico approaches. The PhGs present in CG were identified through extensive literature searching, which were further subjected to database searching in BindingDB, TargetNet, PharmMapper, Super-PRED, and Swiss Target Prediction to find the potential targets, which included PRKCA, PRKCG, PRKCZ, TDP1, and Pol. Subsequently, these targets were used to determine the disease IDs related to diabetic wounds from databases such as DisGeNET, Gene Expression Omnibus, GeneCards, and OMIM. A network was established using Cytoscape to study the relationship among the PhGs, the protein targets, and their associated disease IDs. The top twenty molecular pathways associated with the target proteins were determined using the ShinyGO database. Genetic enrichment analysis showed that the Sphingolipid signalling pathway included the maximum number of genes and had the lowest false discovery rate value, which concluded that this pathway is the potential target of the PhGs. PRKCA and PRKCZ were found to be the only two genes involved in this pathway, and thus, molecular docking was used to evaluate the binding affinity of the PhGs with the proteins. Docking scores were between -13.2859 and -5.10928, suggesting a strong molecular interaction between the PhGs and their targets. Thus, it is concluded that PhGs present in CG can be the potential compounds to treat diabetic wounds; however, further in-vitro and in-vivo investigations are necessary. [ABSTRACT FROM AUTHOR]

Shengmai Jianghuang San (SMJHS) is a traditional Chinese herbal compound reported to inhibit Nasopharyngeal Carcinoma (NPC) progression and enhance radiosensitivity. However, the specific active ingredients and regulatory mechanisms of SMJHS against NPC, particularly under hypoxic conditions, remain unclear. In this study, Sprague–Dawley (SD) rats were gavaged with Shengmai Jianghuang San (SMJHS), and their blood was collected from the abdominal aorta. UHPLC‐Q‐Exactive orbitrap MS/MS was used to identify the metabolite profiles of SMJHS drug‐containing serum. A molecular network of the active compositions in SMJHS targeting NPC was constructed through network pharmacology and molecular docking. The HIF‐1α/VEGF pathway was in key positions. The effects of SMJHS on the proliferation, migration, and radiosensitivity of hypoxic NPC cells were assessed by in vitro experiments. NPC cell lines stably overexpressing HIF‐1α were established using a lentivirus to investigate the regulation of HIF‐1α/VEGF signaling in hypoxic NPC cells by SMJHS. Through a combination of network pharmacological analysis, cellular biofunctional validation, and molecular biochemical experiments, our study found that SMJHS had an anti‐proliferative effect on NPC cells cultured under hypoxic conditions, inhibiting their migration and increasing their radiosensitivity. Additionally, SMJHS suppressed the expression of HIF‐1α and VEGFA, exhibiting potential as an effective option for improving NPC treatment. [ABSTRACT FROM AUTHOR]

The aim of this work was to investigate the therapeutic effect of modified Shisiwei Jianzhong Decoction (SJD) on aplastic anemia (AA) and its potential pharmacological mechanism from the perspective of mitophagy. A comprehensive approach combining network pharmacology, mendelian randomization, molecular docking and animal experiments was applied to evaluate the properties of SJD against AA. By integrating multiple databases, it was determined that SJD exerted its therapeutic effect on AA by targeting three key targets [mammalian target of rapamycin (MTOR), poly(ADP‐ribose) polymerase 1 (PARP1) and Sirtuin 1 (SIRT1)] through four core compounds (quercetin, resveratrol, genistein and curcumin). Mendelian randomization analysis identified MTOR as a risk factor for AA occurrence while PARP1 was a protective factor. Results of animal experiments showed that SJD improved peripheral blood counts and promoted the proliferation of hematopoietic stem cells. Mechanistically, SJD, especially at high dose, played a therapeutic role in AA by activating mitophagy‐related proteins PTEN induced kinase 1 (PINK1)/Parkin and inhibiting the phosphatidylinositol 3‐kinase (PI3K)/protein kinase (AKT)/MTOR pathway. This study revealed for the first time the core chemical composition of SJD and its pharmacological effects against AA, which can restore hematopoietic function by activating mitophagy. The results provide inspiration for the clinical application of traditional Chinese medicine in AA treatment. [ABSTRACT FROM AUTHOR]

The enhanced efficacy of vinegar‐processed Cyperus rotundus (VCR) in treating primary dysmenorrhea (PD) has been observed. However, the active components and potential mechanisms of synergy are still unclear. The objective of this study was to develop a method that combines bionic technology, plant metabolomics and network pharmacology to discover the active components and potential mechanisms underlying the enhanced therapeutic effects of VCR for PD. Vinegar processing alters the flavor of C. rotundus, leading to changes in its properties. The acidic nature of vinegar enhances the selectivity of the medicine toward the liver, thereby improving its ability to soothe the liver, regulate qi and provide pain relief. Through gas chromatography–mass spectrometry and multivariate statistical analysis, 30 key differential components between raw C. rotundus and VCR have been screened and identified. These differential components primarily exert their therapeutic effects in treating PD by modulating targets such as interleukin‐6, TNF, TP53 and PTGS2, as well as pathways including the estrogen signaling pathway, ovarian steroidogenesis, the TNF signaling pathway and the HIF‐1 signaling pathway. The findings of this study serve as a reference for the application of VCR in compound formulas and clinic practiceal. Furthermore, the methodology employed in this study provides research insights for the processing of other Chinese medicines. [ABSTRACT FROM AUTHOR]

This study investigated the batch stability of egg white peptides (EWPs) during the enzymatic hydrolysis process, and confirmed the potential application of four crucial four peptides inoxidative damage repair. The results revealed that different batches of EWPs had good stability relating to antioxidant activity. With a similar sequence to confirmed antioxidant peptides, four EWPs (QMDDFE, WDDDPTD, DEPDPL, and FKDEDTQ) were identified withhigh repetition rates, and their potential to repair oxidative damage was investigated. Network pharmacology results showed that these four peptides could regulate the targets related to oxidative damage. Enrichment results demonstrated that these four peptides could influence the targets and pathways related to glutathione transferase activity (enrichment score: 148.0) and glutathione metabolism (p value: 9.22 × 10−10). This study could provide evidence for the batch stability of hydrolyzed prepared EWPs, and offer theoretical support for the development of antioxidant damage ingredients derived from foods. [ABSTRACT FROM AUTHOR]