Network pharmacology: towards the artificial intelligence-based precision traditional Chinese medicine

Tangningtongluo Tablet ameliorates pancreatic damage in diabetic mice by inducing autophagy and inhibiting the PI3K/Akt/mTOR signaling pathway

BACKGROUND

Diabetes is a metabolic disease characterized by hyperglycaemia. Tangningtongluo Tablet (TNTL) is an inpatient formula extensively utilized to treat diabetes mellitus (DM), but the protective mechanism is not clear. This study aimed to investigate the relevant mechanisms by which TNTL affects pancreatic damage in diabetic mice and autophagy.

METHODS

The impact of TNTL on pancreatic damage in diabetic mice in vitro and in vivo was investigated via glucose and lipid metabolism analyses, HE staining, CCK-8, TUNEL staining, Annexin V/PI, and Western blotting. Molecular docking and Western blotting were used to verify the results of network pharmacological analysis, which was carried out to explore the mechanism by which TNTL affects DM. The autophagosome levels were visualized via RFP-GFP-LC3 and transmission electron microscopy, and lysosomal function was evaluated via Lysotracker red staining. Western blot, immunohistochemistry and immunofluorescence staining were used to detect the expression of the autophagy proteins LC3, p62 and LAMP2.

RESULTS

Compared with the model group, TNTL protected pancreas from oxidative stress, decreased the level of MDA, increased the levels of SOD and GSH-px, induced the occurrence of autophagy and decreased the levels of apoptotic factors. Moreover, TNTL inhibited the protein expression of p-PI3K, p-Akt and p-mTOR, increased the levels of LC3 and LAMP2 and decreased the level of p62, and the autophagy inhibitor CQ blocked the protective effect of TNTL on pancreatic damage in diabetic mice.

CONCLUSION

These results demonstrated that TNTL ameliorated pancreatic damage in diabetic mice by inhibiting the PI3K/Akt/mTOR signaling and regulating autophagy.

Cyberpharmacology uncover the mechanism of the total Rhizoma Coptidis extracts ameliorate chronic atrophic gastritis

ETHNOPHARMACOLOGICAL RELEVANCE

Characterized by inflammation of the gastric mucosa, atrophy of gastric gland cells, and intestinal metaplasia, Chronic Atrophic Gastritis (CAG) is a precancerous lesion disease. In traditional Chinese medicine, Rhizoma Coptidis (RC) is extensively used for treating gastrointestinal disorders, mainly because RC alkaloids-based extracts are the main active pharmaceutical ingredients. Total Rhizoma Coptidis extracts (TRCE) is a mixture of Rhizoma Coptidis extracts from Rhizoma Coptidis with alkaloids as the main components. However, the efficacy and mechanism of TRCE on CAG need further study.

AIM OF THE STUDY

To explore the therapeutic effect and underlying mechanisms of action of TRCE on N-methyl-N'-nitro-N-nitrosoguanidine (MNNG)-induced chronic atrophic gastritis (CAG) using network pharmacological analysis.

MATERIALS AND METHODS

The amelioration effect of TRCE on CAG was evaluated in MNNG-induced CAG mice. The pathological severity of the mice was evaluated through H&E staining. Detection of gastric mucosal parietal cell loss was conducted using immunofluorescence staining, and serum indices were measured using ELISA. Additionally, the active compounds and drug targets of Rhizoma Coptidis were curated from the STP, SEA, and TCMSP databases, alongside disease targets of CAG sourced from PharmGkb, OMIM, and GeneCards databases. By mapping drug targets to disease targets, overlapping targets were identified. A shared protein-protein interaction (PPI) and drug target network were constructed for the overlapping targets and analyzed for KEGG enrichment.

RESULTS

The results of animal experiments demonstrate that TRCE has the potential to improve the CAG process in mice. In conjunction with disease characteristics, cyberpharmacology analysis has identified nine core compounds, 151 targets, 10 core targets, and five significant inflammatory pathways within the compound-target-pathway network. Furthermore, there is a remarkable coincidence rate of 98% between the core compound targets of TRCE and the targets present in the CAG disease database. The accurate search and calculation of literature reports indicate that the coverage rate for 121 predicted core targets related to CAG reaches 81%. The primary characteristic of CAG lies in its inflammatory process. Both predicted and experimental findings confirm that TRCE can regulate ten key inflammation-associated targets (TP53, STAT3, AKT1, HSP90AA1, TNF, IL-6, MAPK3, SRC, JUN, and HSP90AA1) as well as inflammation-related pathways (MAPK, HIF-1, Toll-Like Receptor, IL-17, TNF, and other signaling pathways). These mechanisms mitigate inflammation and reduce gastric mucosal damage in CAG mice.

CONCLUSIONS

In conclusion, TRCE was shown to alleviate CAG by modulating TP53, STAT3, AKT1, HSP90AA1, TNF, IL-6, MAPK3, SRC, JUN, and EGFR, as demonstrated by combined network pharmacology and biological experiments. In conclusion, our study provides a robust foundation for future clinical trials evaluating the efficacy of RC in treating CAG.

Morinda officinalis iridoid glycosides alleviate methotrexate-induced liver injury in CIA rats by increasing liver autophagy and improving lipid metabolism homeostasis

ETHNOPHARMACOLOGICAL RELEVANCE

Morinda officinalis How. is a commonly used traditional Chinese herb with the pharmacological properties of tonifying liver and kidney, and enhancing bone and muscle. Iridoid glycosides are the predominant components of this plant, including monotropein, asperuloside, deacetylasperuloside and deacetylasperulosidic acid with their contents reaching more than 2%. Methotrexate (MTX) is the drug of choice for the treatment of rheumatoid arthritis (RA), but liver injury induced by MTX limits its wider use for RA. Morindaofficinalis iridoid glycoside (MOIG) is reported as having anti-RA and hepatoprotective effects, but the exact efficacy on MTX-induced liver injury and the underlying molecular mechanism remain unclear.

AIM

To elucidate the mitigating effect of MOIG against liver injury in RA rats treated with MTX, and explore the possible mechanism.

MATERIALS AND METHODS

The effect and mechanism of MOIG were investigated in Wistar rats with collagen-induced arthritis (CIA) which were then treated with MTX, and MTX-induced hepatocyte injury in vitro. Network pharmacological and transcriptomic analyses were conducted to predict the possible mechanisms of MOIG in mitigating MTX-induced liver injury, and lipidomic analysis was performed to further verify the regulatory effects of MOIG on lipid metabolism. BRL-3A hepatocytes were used to evaluate the regulatory effects of MOIG against MTX-associated liver injury.

RESULTS

MOIG treatment enhanced the anti-RA effect of MTX, and mitigated oxidative damage, inflammation and apoptosis of liver tissues in CIA rats treated with MTX. Network pharmacological and transcriptomic analyses demonstrated that MOIG attenuated liver injury by regulating autophagy and lipid metabolism. The result of lipidomic analysis showed that MOIG reversed the disturbance of lipid metabolism of the liver tissue in CIA rats after MTX treatment. In addition, MOIG also inhibited the apoptosis, reduced the levels of lactate dehydrogenase (LDH), aspartate aminotransferase (ALT) and alanine aminotransferase (AST), regulated oxidative stress, and increased the formation of autophagosome and translocation of LC3 in the nucleus and expression of autophagy regulatory genes Beclin-1, ATG5, LC3Ⅱ, ATG7 and ATG12 in hepatocytes subjected to MTX damage.

CONCLUSION

Our findings demonstrated that MOIG could ameliorate MTX-induced liver injury in the treatment of RA through increasing hepatocyte autophagy and improving lipid metabolism homeostasis.

Uncovering the scientific landscape: A bibliometric and Visualized Analysis of artificial intelligence in Traditional Chinese Medicine

The emergence of artificial intelligence (AI) technology has presented new challenges and opportunities for Traditional Chinese Medicine (TCM), aiming to provide objective assessments and improve clinical effectiveness. However, there is a lack of comprehensive analyses on the research trajectory, key directions, current trends, and future perspectives in this field. This research aims to comprehensively update the progress of AI in TCM over the past 24 years, based on data from the Web of Science database covering January 1, 2000, to March 1, 2024. Using advanced analytical tools, we conducted detailed bibliometric and visual analyses. The results highlight China's predominant influence, contributing 54.35 % of the total publications and playing a key role in shaping research in this field. Significant productivity was observed at institutions such as the China Academy of Chinese Medical Sciences, Beijing University of Chinese Medicine, and Shanghai University of Traditional Chinese Medicine, with Wang Yu being the most prolific contributor. The journal Molecules contributed the most publications in this field. This study identified hepatocellular carcinoma, chemical and drug-induced liver injury, Papillon-Lefèvre disease, Parkinson's disease, and anorexia as the most significant disorders researched. This comprehensive bibliometric assessment benefits both seasoned researchers and newcomers, offering quick access to essential information and fostering the generation of innovative ideas in this field.

Metabolomics integrated with network pharmacology of blood-entry constituents reveals the bioactive component of Xuefu Zhuyu decoction and its angiogenic effects in treating traumatic brain injury

BACKGROUND

Xuefu Zhuyu decoction (XFZYD) has been extensively utilized to treat traumatic brain injury (TBI). However, the bioactive compounds and the underlying mechanisms have not yet been elucidated.

OBJECTIVES

This study aimed to investigate the bioactive constituents of XFYZD that are absorbed in the blood and the mechanisms in treating TBI.

METHODS

The study presents an integrated strategy in three steps to investigate the material basis and pharmacological mechanisms of XFZYD. The first step involves: (1) performing metabolomics analysis of XFZYD to obtain the main functions and targets; (2) screening the blood-entry ingredients and targets of XFZYD from databases; (3) obtaining the potential components targeting the key functions by integrated analysis of metabolomics and network pharmacology. The second step involves screening pharmacological effects with active ingredients in vitro. In the third step, the effects of the top active compound were validated in vivo, and the mechanisms were explored by protein antagonist experiments.

RESULTS

Metabolomics analysis revealed that XFZYD treated TBI mice mainly through affecting the functions of blood vessels. We screened 62 blood-entry ingredients of XFZYD by network pharmacology. Then, we focused on 39 blood-entry ingredients related to vascular genes enriched by XFZYD-responsive metabolites. Performing the natural products library, we verified that hydroxysafflor yellow A (HSYA), vanillin, ligustilide, paeoniflorin, and other substances promoted endothelial cell proliferation significantly compared to the control group. Among them, the efficacy of HSYA was superior. Further animal studies demonstrated that HSYA treatment alleviated neurological dysfunction in TBI mice by mNSS and foot fault test, and decreased neuronal damage by HE, nissl, and TUNEL staining. HSYA increased the density of cerebral microvessels, raised the expression of angiogenesis marker proteins VEGFA and CD34, and activated the PI3K/Akt/mTOR signaling pathway significantly. The angiogenic effects disappeared after the intervention of PI3K antagonist LY294002.

CONCLUSION

By applying a novel strategy of integrating network pharmacology of constituents absorbed in blood with metabolomics, the research screened HSYA as one of the top bioactive constituents of XFZYD, which stimulates angiogenesis by activating the PI3K/Akt/mTOR signaling pathway after TBI.

Potential mechanisms of ZiGongDing in treating HPV-induced cervical intraepithelial neoplasia: a network pharmacology and experimental verification study

The onset of cervical intraepithelial neoplasia (CIN) is strongly associated with persistent infection caused by high-risk human papillomavirus (HPV). ZiGongDing (ZGD), a traditional Chinese medicine, has progressed to clinical application in HPV-induced CIN treatment, yet the underlying mechanism remains unclear. The objective of this paper is to explore the mechanism of ZGD in treating HPV-induced CIN by integrating a combination of network pharmacology and experimental validation. The active ingredients and targets of ZGD were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) database. CIN-related targets were sourced from GeneCards and the Online Mendelian Inheritance in Man (OMIM) database. Protein-protein interaction (PPI) and functional enrichment analyses were conducted to determine the potential molecular mechanism. The herb-active ingredient-target network was constructed by Cytoscape software. To further validate the therapeutic mechanism, molecular docking and in vitro experiments were performed. In this study, we identified 60 active ingredients in ZGD and 46 common targets in of CIN treatment. The PPI network analysis revealed estrogen receptor 1 (ESR1) as a pivotal target in ZGD against CIN. Functional enrichment analysis showed that the estrogen signaling pathway was mostly enriched, and ESR1 was involved. The herb-active ingredient-target network and relative literature identified cnidimol B as the primary active ingredient. Molecular docking demonstrated a strong binding affinity between ESR1 and cnidimol B. Cellular experiments revealed that cnidimol B could significantly decrease the viability of HeLa and CaSki cells. Moreover, the expression of ESR1 was notably upregulated in HeLa and CaSki cells after treatment with cnidimol B. Our study proposes a novel mechanism underlying ZGD against CIN, which involves the modulation of ESR1. This insight lays a solid foundation for further exploring and optimizing ZGD's therapeutic potential.

Thymol and carvacrol derivatives as anticancer agents; synthesis, in vitro activity, and computational analysis of biological targets

Various thymol and carvacrol derivatives have been synthesized to test the anticancer activity potential. Computational methods including network pharmacology and molecular docking approaches were utilized to identify and assess the potential biological targets relating to cancer. Amongst the synthesized derivatives the ethoxy-cyclohexyl analogues were consistently the most active against a panel of 10 different cancer cell lines covering a variety of origins. Biological target predictions revealed the AKT1 protein to be a core and central target of the most active compounds. Molecular docking identified a binding pocket within this protein in which the most active compounds bind. The incorporation of computational analysis methods and conventional structure-activity approaches identified analogues of thymol and carvacrol with the highest anticancer potential, and analyzed their possible biological targets in a comprehensive manner.

AI empowering traditional Chinese medicine?

For centuries, Traditional Chinese Medicine (TCM) has been a prominent treatment method in China, incorporating acupuncture, herbal remedies, massage, and dietary therapy to promote holistic health and healing. TCM has played a major role in drug discovery, with over 60% of small-molecule drugs approved by the FDA from 1981 to 2019 being derived from natural products. However, TCM modernization faces challenges such as data standardization and the complexity of TCM formulations. The establishment of comprehensive TCM databases has significantly improved the efficiency and accuracy of TCM research, enabling easier access to information on TCM ingredients and encouraging interdisciplinary collaborations. These databases have revolutionized TCM research, facilitating advancements in TCM modernization and patient care. In addition, advancements in AI algorithms and database data quality have accelerated progress in AI for TCM. The application of AI in TCM encompasses a wide range of areas, including herbal screening and new drug discovery, diagnostic and treatment principles, pharmacological mechanisms, network pharmacology, and the incorporation of innovative AI technologies. AI also has the potential to enable personalized medicine by identifying patterns and correlations in patient data, leading to more accurate diagnoses and tailored treatments. The potential benefits of AI for TCM are vast and diverse, promising continued progress and innovation in the field.

Molecular mechanisms of Tetrastigma hemsleyanum Diels&Gilg against lung squamous cell carcinoma: From computational biology and experimental validation

ETHNOPHARMACOLOGICAL RELEVANCE

Tetrastigma hemsleyanum （T. hemsleyanum）, valued in traditional medicine for its potential to boost immunity and combat tumors, contains uncharacterized active compounds and mechanisms. This represents a significant gap in our understanding of its ethnopharmacological relevance.

AIM OF THE STUDY

To involve the mechanism of anti-lung cancer effect of T. hemsleyanum by means of experiment and bioinformatics analysis.

MATERIALS AND METHODS

The anticancer mechanism of T. hemsleyanum against lung squamous carcinoma (LUSC) in zebrafish was investigated. The LUSC model was established by injecting NCI-H2170 cells in the zebrafish and evaluating its anti-tumor efficacy. Next, component targets and key genes were obtained by molecular complex detection (MCODE) analysis and protein-protein interaction (PPI) network analysis. Component analysis of T. hemsleyanum was performed by UPLC-Q-TOF-MS. Molecular docking was used to simulate the binding activities of key potential active components to core targets were simulated using. Prognostic and pan-cancer analyses were then performed to validate the signaling pathways involved in the prognostic genes using gene set enrichment analysis (GSEA). Subsequently, Molecular dynamics simulations were then performed for key active components and core targets. Finally, cellular experiments were used to verify the expression of glutamate metabotropic receptor 3 (GRM3) and glutamate metabotropic receptor 7 (GRM7) in the anticancer effect exerted of T. hemsleyanum.

RESULTS

We experimentally confirmed the inhibitory effect of T. hemsleyanum on LUSC by transplantation of NCI-H2170 cells into zebrafish. There are 20 main compounds in T. hemsleyanum, such as procyanidin B1, catechin, quercetin, and kaempferol, etc. A total of 186 component targets of T. hemsleyanum and sixteen hub genes were screened by PPI network and MCODE analyses. Molecular docking and molecular dynamics simulation results showed that Gingerglycolipid B and Rutin had higher affinity with GRM3 and GRM7, respectively. Prognostic analysis, Pan-cancer analysis and verification experiment also confirmed that GRM3 and GRM7 were targets for T. hemsleyanum to exert anti-tumor effects and to participate in immune and mutation processes. In vitro experiments suggested that the inhibitory effect of T. hemsleyanum on cancer cells was correlated with GRM3 and GRM7.

CONCLUSION

In vivo, in vitro and in silico results confirmed the potential anticancer effects against LUSC of T. hemsleyanum, which further consolidated the claim of its traditional uses.

Calculating the similarity between prescriptions to find their new indications based on graph neural network

BACKGROUND

Drug repositioning has the potential to reduce costs and accelerate the rate of drug development, with highly promising applications. Currently, the development of artificial intelligence has provided the field with fast and efficient computing power. Nevertheless, the repositioning of traditional Chinese medicine (TCM) is still in its infancy, and the establishment of a reasonable and effective research method is a pressing issue that requires urgent attention. The use of graph neural network (GNN) to compute the similarity between TCM prescriptions to develop a method for finding their new indications is an innovative attempt.

METHODS

This paper focused on traditional Chinese medicine prescriptions containing ephedra, with 20 prescriptions for treating external cough and asthma taken as target prescriptions. The remaining 67 prescriptions containing ephedra were taken as to-be-matched prescriptions. Furthermore, a multitude of data pertaining to the prescriptions, including diseases, disease targets, symptoms, and various types of information on herbs, was gathered from a diverse array of literature sources, such as Chinese medicine databases. Then, cosine similarity and Jaccard coefficient were calculated to characterize the similarity between prescriptions using graph convolutional network (GCN) with a self-supervised learning method, such as deep graph infomax (DGI).

RESULTS

A total of 1340 values were obtained for each of the two calculation indicators. A total of 68 prescription pairs were identified after screening with 0.77 as the threshold for cosine similarity. Following the removal of false positive results, 12 prescription pairs were deemed to have further research value. A total of 5 prescription pairs were screened using a threshold of 0.50 for the Jaccard coefficient. However, the specific results did not exhibit significant value for further use, which may be attributed to the excessive variety of information in the dataset.

CONCLUSIONS

The proposed method can provide reference for finding new indications of target prescriptions by quantifying the similarity between prescriptions. It is expected to offer new insights for developing a scientific and systematic research methodology for traditional Chinese medicine repositioning.

Chlorogenic acid attenuates idiopathic pulmonary fibrosis: An integrated analysis of network pharmacology, molecular docking, and experimental validation

AIMS

Idiopathic pulmonary fibrosis (IPF) is a chronic and progressive lung condition, the cause of which remains unknown and for which no effective therapeutic treatment is currently available. Chlorogenic acid (CGA), a natural polyphenolic compound found in different plants and foods, has emerged as a promising agent due to its anti-inflammatory, antioxidant, and antifibrotic properties. However, the molecular mechanisms underlying the therapeutic effect of CGA in IPF remain unclear. The purpose of this study was to analyze the pharmacological impact and underlying mechanisms of CGA in IPF.

MAIN METHODS

Using network pharmacology analysis, genes associated with IPF and potential molecular targets of CGA were identified through specialized databases, and a protein-protein interaction (PPI) network was constructed. Molecular docking was performed to accurately select potential therapeutic targets. To investigate the effects of CGA on lung histology and key gene expression, a murine model of bleomycin-induced lung fibrosis was used.

KEY FINDINGS

Network pharmacology analysis identified 384 were overlapped between CGA and IPF. Key targets including AKT1, TP53, JUN, CASP3, BCL2, MMP9, NFKB1, EGFR, HIF1A, and IL1B were identified. Pathway analysis suggested the involvement of cancer, atherosclerosis, and inflammatory processes. Molecular docking confirmed the stable binding between CGA and targets. CGA regulated the expression mRNA of EGFR, MMP9, AKT1, BCL2 and IL1B and attenuated pulmonary fibrosis in the mouse model.

SIGNIFICANCE

CGA is a promising multi-target therapeutic agent for IPF, which is supported by its efficacy in reducing fibrosis through the modulation of key pathways. This evidence provides a basis to further investigate CGA as an IPF potential treatment.

Inhibition of mitochondrial over-division by (+)-14,15-Dehydrovincamine attenuates cisplatin-induced acute kidney injury via the JNK/Mff pathway

Cisplatin-induced acute kidney injury (AKI) is characterized by mitochondrial damage and apoptosis, and safe and effective therapeutic agents are urgently needed. Renal tubular epithelial cells, the main site of AKI, are enriched with a large number of mitochondria, which are crucial for the progression of AKI with an impaired energy supply. Vincamine has anti-inflammatory and antioxidant effects in mouse AKI models. As a natural compound derived from Tabernaemontana pandacaqui, (+)-14, 15-Dehydrovincamine and Vincamine differ in structure by only one double bond, and the role and exact mechanism of (+)-14, 15-Dehydrovincamine remains to be elucidated in AKI. The present study demonstrated that (+)-14,15-Dehydrovincamine significantly ameliorated mitochondrial dysfunction and maintained mitochondrial homeostasis in a cisplatin-induced AKI model. Furthermore, (+)-14,15-Dehydrovincamine ameliorates cytochrome C-dependent apoptosis in renal tubular epithelial cells. c-Jun NH2-terminal kinase (JNK) was identified as a potential target protein of (+)-14,15-Dehydrovincamine attenuating AKI by network pharmacological analysis. (+)-14,15-Dehydrovincamine inhibited cisplatin-induced JNK activation, mitochondrial fission factor (Mff) phosphorylation, and dynamin-related protein 1 (Drp1) translocation to the mitochondria in renal tubular epithelial cells. Meanwhile, the JNK activator anisomycin restored Mff phosphorylation and Drp1 translocation, counteracting the protective effect of (+)-14,15-Dehydrovincamine on mitochondrial dysfunction in cisplatin-induced TECs injury. In conclusion, (+)-14,15-Dehydrovincamine reduced mitochondrial fission, maintained mitochondrial homeostasis, and attenuated apoptosis by inhibiting the JNK/Mff/Drp1 pathway, which in turn ameliorated cisplatin-induced AKI.

[Analysis of core functional components in Yinchenhao Decoction and their pathways for treating liver fibrosis]

OBJECTIVE

To analyze the core functional component groups (CFCG) in Yinchenhao Decoction (YCHD) and their possible pathways for treating hepatic fibrosis based on network pharmacology.

METHODS

PPI data were extracted from DisGeNET, Genecards, CMGRN and PTHGRN to construct a weighted network using Cytoscape 3.9.1. The data of the chemical components in YCHD were obtained from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), and the potential active components and targets were selected using PreADMET Web server and SwissTargetPrediction. A fusion model was constructed to obtain the functional effect space and evaluate the effective proteins to identify the CFCG followed by GO and KEGG pathway enrichment analyses for all the targets. In cultured human hepatic stellate cells (LX-2 cells), the cytotoxicity of different compounds in YCHD was tested using CCK-8 assay; the effects of these compounds on collagen α1 (Col1a1) mRNA expression and the pathways in 20 ng/mL TGF-β1-stimulated cells were analyzed using RT-qPCR and Western blotting.

RESULTS

A total of 1005 pathogenic genes, 226 potential active components and 1529 potential targets in YCHD and 52 potential targets of CFCG were obtained. Benzyl acetate, vanillic acid, clorius, polydatin, lauric acid and ferulic acid were selected for CCK-8 verification, and they all showed minimal cytotoxicity below the concentration of 200 μmol/L. Clorius, polydatin, lauric acid and ferulic acid all effectively inhibited TGF-β1-induced LX-2 cell activation. At the concentration of 200 μmol/L, all these 4 components inhibited PI3K, p-PI3K, AKT, p-AKT, ERK, p-ERK, P38 MAPK and p-P38 MAPK expressions in TGF-β1-induced LX-2 cells.

CONCLUSION

The therapeutic effect of YCHD on hepatic fibrosis is probably mediated by its core functional components including benzyl acetate, vanillic acid, clorius, polydatin, lauric acid and ferulic acid, which inhibit the PI3K-AKT and MAPK pathways in hepatic stellate cells.

Elucidation of the anti-fibrotic diseases mechanism of chelerythrine by integrative approach of network pharmacology and experimental verification

In the present study, we conducted an integrative approach of network pharmacology and experimental validation study to elucidate the underlying mechanisms of Chelerythrine (CLT), in treating fibrotic diseases (FD), which are disorders characterised by excessive accumulation of extracellular matrix. 27 common targets of CLT against FD were analysed, and these common targets were used to construct the PPI network. The results of GO and KEGG enrichment analyses suggested that CLT exerted pharmacological effects on FD by regulating mTOR signalling pathway, AKT-PI3K pathway and apoptosis signalling pathway. Finally, molecular docking confirmed a strong binding affinity between CLT and the core target proteins. CLT has inhibitory effects on the proliferation and migration of L929 cells, CLT could promote cell apoptosis. CLT decreased levels of the Bcl-2, p-AKT/AKT, p-mTOR/mTOR and p-PI3K/PI3K, meanwhile increased levels of the Bax. Taken together, these results indicate that CLT may be a potential drug for anti-fibrotic diseases therapy.

Investigation into the potential mechanism and therapeutic targets of Cangzhu Erchen decoction for the treatment of chronic obstructive pulmonary disease based on bioinformatics and network pharmacology

This study aimed to elucidate the molecular mechanisms underlying the therapeutic effects of Cangzhu Erchen decoction (CZECD) in the treatment of chronic obstructive pulmonary disease (COPD) using microarray analysis, network pharmacology, and molecular docking. The active components and candidate targets of CZECD were obtained using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and Swiss Target Prediction. COPD-related targets were collected from 5 databases. Access to drug-disease interface targets in the Venny platform. The Cytoscape program and the STRING database were used for protein-protein interaction analysis and subsequent core target screening. The DAVID database was used for Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes enrichment pathway analysis, while AutoDockTools was used for molecular docking to confirm binding affinity between drugs and key targets. A total of 140 compounds from CZECD and 5100 COPD-related targets were identified. SRC, PIK3CA, STAT3, PIK3R1, AKT1, HSP90AA1, PIK3CB, GRB2, PIK3CD, and MAPK1 were identified as the major targets of CZECD in its anti-COPD activity. GO and Kyoto Encyclopedia of Genes and Genomes enrichment studies revealed that CZECD mainly affects biological processes such as protein phosphorylation, xenobiotic response, positive regulation of the MAPK cascade, and inflammatory responses. Cancer, PI3K/AKT, and MAPK were the key pathways mediating these effects. The positive association between the core targets and the compounds was further validated by molecular docking. CZECD exerts its therapeutic role in COPD mainly through multiple compounds, targets, and pathways.

Revealing the active ingredients and mechanisms of Xiatianwu against hepatocellular carcinoma: a study based on network pharmacology and bioinformatics

Xiatianwu is a traditional Chinese medicine. This study investigates the function of Xiatianwu in treating HCC through database analyses and in vitro experiments. The active ingredients of Xiatianwu were identified from TCMSP and HERB databases and their targets were predicted by Swiss TargetPrediction. The HCC dataset was screened using the GEO database, and the differentially expressed genes between HCC and non-tumor liver tissues were analyzed to identify overlapping targets with Xiatianwu. The intersecting targets underwent enrichment analysis using R software to elucidate the molecular mechanisms of Xiatianwu against HCC. Core targets were identified using the PPI network and MCODE algorithm. Clinical relevance and disease prognosis in HCC were verified using the TCGA database. Meanwhile, binding affinities among components and targets were validated with molecular docking. Finally, the anti-HCC efficacy of the active ingredient was validated in vitro. Our findings revealed that eight active ingredients of Xiatianwu interacted with 11 key targets, providing anti-HCC efficacy. Molecular docking indicated that bicuculline and fumarine exhibited superior binding abilities. Bicuculline, a representative ingredient of Xiatianwu, was chosen for in vitro validation. Results demonstrated that bicuculline, in a dose-dependent manner inhibited HCC cell viability, reduced migration, suppressed the G0/M cell cycle, and decreased core protein expression. Xiatianwu demonstrates significant potential for clinical application in treating HCC. Bicuculline, a key active ingredient of Xiatianwu, exerts anti-HCC effects by inhibiting the cell cycle.

Based on network pharmacology and molecular docking to explore the potential mechanism of shikonin in periodontitis

OBJECTIVES

To investigate the potential mechanisms of shikonin in preventing and treating periodontitis using network pharmacology and molecular docking methods.

MATERIALS AND METHODS

The targets of shikonin were obtained in TCMSP and SEA databases, and targets of periodontitis were gathered from the OMIM, GeneCards and Drugbank Databases. The intersecting targets were entered into the DAVID database to obtain the relevant biological functions and pathways by GO and KEGG enrichment analysis. The obtained targets were analysed the protein-protein interaction (PPI) in STRING platform. In Cytoscape 3.8.0, the network analysis function with the MCODE plug-in were used to obtain the key targets, of shikonin and periodontitis. Molecular docking and molecular dynamics simulation (MD) were used to assess the affinity between the shikonin and the key targets.

RESULTS

Shikonin was screened for 22 targets and periodontitis was screened for 944 targets, the intersecting targets were considered as potential therapeutic targets. The targets played important roles in cellular response to hypoxia, response to xenobiotic stimulus and positive regulates of apoptotic process by GO enrichment analysis. 10 significant pathways were analyzed by KEGG, such as human cytomegalovirus infection and PI3K-Akt signaling pathway, etc. Cytoscape software screened the key genes including AKT1, CCL5, CXCR4, PPARG, PTEN, PTGS2 and TP53. Molecular docking and MD results showed that shikonin could bind stably to the targets.

CONCLUSIONS

The present study enriched the molecular mechanisms in periodontitis with shikonin, providing potential therapeutic targets for periodontitis.

Network Pharmacology-Based Strategy Integrated with Molecular Docking and In Vitro Experimental Validation to Explore the Underlying Mechanism of Fangji Huangqi Decoction in Treating Rheumatoid Arthritis

Fangji Huangqi decoction (FHD), as a classic traditional Chinese medicine formula, has been clinically proven effective against rheumatoid arthritis (RA), yet its therapeutic mechanism remains unclear. This study employed network pharmacology and molecular docking methods to explore the major active components, biological targets, and signaling pathways of FHD. Subsequently, lipopolysaccharide (LPS)-stimulated RAW264.7 cells were used as the in vitro model to validate the modulating effects of FHD on molecules/inflammatory mediators using various biomedical techniques/kits such as MTT assay, Griess reagents, flow cytometry, RT-qPCR, and immunoblotting. Network pharmacology analyses indicated a total of 20 major active components and 30 core biological targets of FHD against RA. Pathway enrichment analyses demonstrated the involvement of mitogen-activated protein kinase (MAPK) signaling pathways in the efficacy of the formula. Furthermore, experimental evidence demonstrated that FHD dose-dependently and significantly inhibited the productions of nitric oxide (NO) and reactive oxygen species; lowered the mRNA expression levels of proinflammatory mediators including iNOS, COX-2, TNF-α, ΙL-1β, and IL-6; decreased protein levels of the phosphorylated forms of p38, ERK, JNK, and NF-κB p65. Additionally, the results of molecular docking showed that tetrandrine, licochalcone A, oxonantenine, isorhamnetin, and kaempferol in FHD exerted the potent capability of binding to target molecules in the focused signaling pathway, probably being the potential effective substances for FHD. Our network pharmacology study integrated with cellular validation has elucidated that FHD exerts downregulating effects of the MAPK and NF-κB signaling pathway, ultimately leading to inhibitory effects on the productions of proinflammatory mediators in LPS-stimulated RAW264.7 cells. This work comprehensively demonstrated the effective substances, key targets, and signaling pathways involved in the anti-RA effects of the formula, and these findings provide a further understanding of the underlying mechanism of FHD in managing RA.

Development of an artificial intelligent model for pre-endoscopic screening of precancerous lesions in gastric cancer

BACKGROUND

Given the high cost of endoscopy in gastric cancer (GC) screening, there is an urgent need to explore cost-effective methods for the large-scale prediction of precancerous lesions of gastric cancer (PLGC). We aim to construct a hierarchical artificial intelligence-based multimodal non-invasive method for pre-endoscopic risk screening, to provide tailored recommendations for endoscopy.

METHODS

From December 2022 to December 2023, a large-scale screening study was conducted in Fujian, China. Based on traditional Chinese medicine theory, we simultaneously collected tongue images and inquiry information from 1034 participants, considering the potential of these data for PLGC screening. Then, we introduced inquiry information for the first time, forming a multimodality artificial intelligence model to integrate tongue images and inquiry information for pre-endoscopic screening. Moreover, we validated this approach in another independent external validation cohort, comprising 143 participants from the China-Japan Friendship Hospital.

RESULTS

A multimodality artificial intelligence-assisted pre-endoscopic screening model based on tongue images and inquiry information (AITonguequiry) was constructed, adopting a hierarchical prediction strategy, achieving tailored endoscopic recommendations. Validation analysis revealed that the area under the curve (AUC) values of AITonguequiry were 0.74 for overall PLGC (95% confidence interval (CI) 0.71-0.76, p < 0.05) and 0.82 for high-risk PLGC (95% CI 0.82-0.83, p < 0.05), which were significantly and robustly better than those of the independent use of either tongue images or inquiry information alone. In addition, AITonguequiry has superior performance compared to existing PLGC screening methodologies, with the AUC value enhancing 45% in terms of PLGC screening (0.74 vs. 0.51, p < 0.05) and 52% in terms of high-risk PLGC screening (0.82 vs. 0.54, p < 0.05). In the independent external verification, the AUC values were 0.69 for PLGC and 0.76 for high-risk PLGC.

CONCLUSION

Our AITonguequiry artificial intelligence model, for the first time, incorporates inquiry information and tongue images, leading to a higher precision and finer-grained pre-endoscopic screening of PLGC. This enhances patient screening efficiency and alleviates patient burden.

Exploring global research trends in Chinese medicine for atherosclerosis: a bibliometric study 2012-2023

Background

While Traditional Chinese Medicine (TCM) boasts an extensive historical lineage and abundant clinical expertise in addressing atherosclerosis, this field is yet to be penetrated adequately by bibliometric studies. This study is envisaged to evaluate the contemporary scenario of TCM in conjunction with atherosclerosis over the preceding decade while also identifying forthcoming research trends and emerging topics via the lens of bibliometric analysis.

Methods

Literature pertaining to TCM and atherosclerosis, circulated between January 1, 2012 and November 14, 2023, was garnered for the purpose of this research. The examination embraced annual publications, primary countries/regions, engaged institutions and authors, scholarly journals, references, and keywords, utilizing analytical tools like Bibliometrix, CiteSpace, ScimagoGraphica, and VOSviewer present in the R package.

Result

This field boasts a total of 1,623 scholarly articles, the majority of which have been contributed by China in this field, with significant contributions stemming from the China Academy of Traditional Chinese Medicine and the Beijing University of Traditional Chinese Medicine. Moreover, this field has received financial support from both the National Natural Science Foundation of China and the National Key Basic Research Development Program. Wang Yong tops the list in terms of publication count, while Xu Hao's articles take the lead for the total number of citations, positioning them at the core of the authors' collaborative network. The Journal of Ethnopharmacology leads with the most publications and boasts the greatest total number of citations. Principal research foci within the intersection of Chinese Medicine and Atherosclerosis encompass disease characteristics and pathogenic mechanisms, theoretical underpinnings and syndrome-specific treatments in Chinese medicine, potentialities of herbal interventions, and modulation exerted by Chinese medicines on gut microbiota.

Conclusion

This analysis offers a sweeping survey of the contemporary condition, principal foci, and progressive trends in worldwide research related to Traditional Chinese Medicine (TCM) and atherosclerosis. It further delves into an in-depth dissection of prominent countries, research institutions, and scholars that have made noteworthy strides in this discipline. Additionally, the report analyzes the most cited articles, research developments, and hotspots in the field, providing a reference for future research directions for clinical researchers and practitioners.

Based on Network Pharmacology and Molecular Docking, the Active Components, Targets, and Mechanisms of Flemingia philippinensis in Improving Inflammation Were Excavated

Flemingia philippinensis, a polyphenol-rich plant, holds potential for improving inflammation, but its mechanisms are not well understood. Therefore, this study employed network pharmacology and molecular docking to explore the mechanism by which Flemingia philippinensis ameliorates inflammation. In this study, 29 kinds of active ingredients were obtained via data mining. Five main active components were screened out for improving inflammation, which were flemichin D, naringenin, chrysophanol, genistein and orobol. In total, 52 core targets were identified, including AKT serine/threonine kinase 1 (AKT1), tumor necrosis factor (TNF), B-cell lymphoma-2 (BCL2), serum albumin (ALB), and estrogen receptor 1 (ESR1). Gene ontology (GO) enrichment analysis identified 2331 entries related to biological processes, 98 entries associated with cellular components, and 203 entries linked to molecular functions. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis yielded 149 pathways, including those involved in EGFR tyrosine kinase inhibitor resistance, endocrine resistance, and the PI3K-Akt signaling pathway. Molecular docking results showed strong binding effects between the main active components and the core targets, with binding energies less than -5 kcal/mol. In summary, this study preliminarily elucidated the underlying mechanisms by which Flemingia philippinensis, through a multi-component, multi-target, and multi-pathway approach, ameliorates inflammation. This provides a theoretical foundation for the subsequent application of Flemingia philippinensis in inflammation amelioration.

Qingkailing granule alleviates pulmonary fibrosis by inhibiting PI3K/AKT and SRC/STAT3 signaling pathways

Pulmonary fibrosis (PF) poses a significant challenge with limited treatment options and a high mortality rate of approximately 45 %. Qingkailing Granule (QKL), derived from the Angong Niuhuang Pill, shows promise in addressing pulmonary conditions. Using a comprehensive approach, combining network pharmacology analysis with experimental validation, this study explores the therapeutic effects and mechanisms of QKL against PF for the first time. In vivo, QKL reduced collagen deposition and suppressed proinflammatory cytokines in a bleomycin-induced PF mouse model. In vitro studies demonstrated QKL's efficacy in protecting cells from bleomycin-induced injury and reducing collagen accumulation and cell migration in TGF-β1-induced pulmonary fibrosis cell models. Network pharmacology analysis revealed potential mechanisms, confirmed by western blotting, involving the modulation of PI3K/AKT and SRC/STAT3 signaling pathways. Molecular docking simulations highlighted interactions between QKL's active compounds and key proteins, showing inhibitory effects on epithelial damage and fibrosis. Collectively, these findings underscore the therapeutic potential of QKL in alleviating pulmonary inflammation and fibrosis through the downregulation of PI3K/AKT and SRC/STAT3 signaling pathways, with a pivotal role attributed to its active compounds.

Validation of Core Ingredients and Molecular Mechanism of Cinobufotalin Injection Against Liver Cancer

Purpose

Cinobufotalin injection has obvious curative effects on liver cancer patients with less toxicity and fewer side effects than other therapeutic approaches. However, the core ingredients and mechanism underlying these anti-liver cancer effects have not been fully clarified due to its complex composition.

Methods

Multidimensional network analysis was used to screen the core ingredients, key targets and pathways underlying the therapeutic effects of cinobufotalin injection on liver cancer, and in vitro and in vivo experiments were performed to confirm the findings.

Results

By construction of ingredient networks and integrated analysis, eight core ingredients and ten key targets were finally identified in cinobufotalin injection, and all of the core ingredients are tightly linked with the key targets, and these key targets are highly associated with the cell cycle-related pathways, supporting that both cinobufotalin injection and its core ingredients exert anti-liver cancer roles by blocking cell cycle-related pathways. Moreover, in vitro and in vivo experiments confirmed that either cinobufotalin injection or one of its core ingredients, cinobufagin, significantly inhibited cell proliferation, colony formation, cell cycle progression and xenograft tumor growth, and the key target molecules involved in the cell cycle pathway such as CDK1, CDK4, CCNB1, CHEK1 and CCNE1, exhibit consistent changes in expression after treatment with cinobufotalin injection or cinobufagin. Interestingly, some key targets CDK1, CDK4, PLK1, CHEK1, TTK were predicted to bind with multiple of core ingredients of cinobufotalin injection, and the affinity between one of the critical ingredients cinobufagin and key target CDK1 was further confirmed by SPR assay.

Conclusion

Cinobufotalin injection was confirmed to includes eight core ingredients, and they play therapeutic effects in liver cancer by blocking cell cycle-related pathways, which provides important insights for the mechanism of cinobufotalin injection antagonizing liver cancer and the development of novel small molecule anti-cancer drugs.

The Optimization Design of Macrophage Membrane Camouflaging Liposomes for Alleviating Ischemic Stroke Injury through Intranasal Delivery

Ischemic stroke is associated with a high mortality rate, and effective treatment strategies are currently lacking. In this study, we aimed to develop a novel nano delivery system to treat ischemic stroke via intranasal administration. A three-factor Box-Behnken experimental design was used to optimize the formulation of liposomes co-loaded with Panax notoginseng saponins (PNSs) and Ginsenoside Rg3 (Rg3) (Lip-Rg3/PNS). Macrophage membranes were coated onto the surface of the optimized liposomes to target the ischemic site of the brain. The double-loaded liposomes disguised by macrophage membranes (MM-Lip-Rg3/PNS) were spherical, in a "shell-core" structure, with encapsulation rates of 81.41% (PNS) and 93.81% (Rg3), and showed good stability. In vitro, MM-Lip-Rg3/PNS was taken up by brain endothelial cells via the clathrin-dependent endocytosis and micropinocytosis pathways. Network pharmacology experiments predicted that MM-Lip-Rg3/PNS could regulate multiple signaling pathways and treat ischemic stroke by reducing apoptosis and inflammatory responses. After 14 days of treatment with MM-Lip-Rg3/PNS, the survival rate, weight, and neurological score of middle cerebral artery occlusion (MCAO) rats significantly improved. The hematoxylin and eosin (H&E) and TUNEL staining results showed that MM-Lip-Rg3/PNS can reduce neuronal apoptosis and inflammatory cell infiltration and protect the ischemic brain. In vivo biological experiments have shown that free Rg3, PNS, and MM-Lip-Rg3/PNS can alleviate inflammation and apoptosis, especially MM-Lip-Rg3/PNS, indicating that biomimetic liposomes can improve the therapeutic effects of drugs. Overall, MM-Lip-Rg3/PNS is a potential biomimetic nano targeted formulation for ischemic stroke therapy.

Mechanism of Qingchang compound against coccidiosis based on network pharmacology-molecular docking

The aim of this study was to investigate the anti-Eimeria tenella mechanism of Qingchang Compound (QCC) and provide a basis for its clinical application. The active ingredients, active ingredient-disease intersection targets, and possible pathways of QCC for the treatment of chicken coccidiosis were analyzed, the binding ability of pharmacodynamic components and target proteins was determined by network pharmacology and the molecular docking, and a model of infection with coccidiosis was constructed to verify and analyze the mechanism of action of QCC against coccidiosis. Among the 57 components that met the screening conditions, the main bioactive components were quercetin, dichroine, and artemisinin, with IL-1β, IL-6, IL-10, IFN-γ, and IL-8 as the core targets. Simultaneously, the KEGG signaling pathway of QCC anti-coccidiosis in chickens was enriched, including cytokine-cytokine receptor interactions. The results showed that the main pharmacodynamic components of QCC and the core targets could bind well; artemisinin and alpine possessed the largest negative binding energies and presented the most stable binding states. In addition, in vivo studies showed that QCC reduced blood stool in chickens with coccidiosis, restored cecal injury, and significantly reduced the mRNA and protein expression levels of IL-1β, IL-10, and IFN-γ in ceca (p < 0.01). Our results suggest that the main active ingredients of QCC are artemisinin and alpine and its mechanism of action against coccidiosis may be related to the reduction of the inflammatory response by acting on specific cytokines.

Network Pharmacology and Experimental Verifications to Discover Scutellaria baicalensis Georgi's Effects on Joint Inflammation, Destruction, and Pain in Osteoarthritis

Osteoarthritis is the most common type of arthritis, characterized by joint pain and a decline in physiological function. Scutellaria baicalensis Georgi (SB) is potentially effective against osteoarthritis because of its wide range of anti-inflammatory pharmacological activities. This study aimed to identify the mode of action of SB against osteoarthritis using network pharmacology prediction and experimental verification. Networks were constructed to key compounds, hub targets, and pathways essential for SB's effectiveness against osteoarthritis. Additionally, in vivo and in vitro tests were performed, including investigations on weight bearing in hind limbs, the acetic acid-induced writhing response, lipopolysaccharide-stimulated RAW264.7 cells, and serum cytokine responses. We identified 15 active compounds and 14 hub targets, supporting the anti-osteoarthritis effects of SB. The Kyoto Encyclopedia of Genes and Genomes pathway analysis indicated that fluid shear stress, atherosclerosis, phosphatidylinositol 3-kinase-Akt signaling, and cellular senescence pathways were important. SB showed substantial anti-inflammatory, analgesic, and joint tissue-protective effects against osteoarthritis. Our study shows that SB has the potential value to be further investigated as a candidate material for the treatment of osteoarthritis in the future.

Mechanism Research of PZD Inhibiting Lung Cancer Cell Proliferation, Invasion, and Migration based on Network Pharmacology

BACKGROUND

A classic Chinese medicine decoction, Pinellia ternata (Thunb.) Breit.-Zingiber officinale Roscoe (Ban-Xia and Sheng-Jiang in Chinese) decoction (PZD), has shown significant therapeutic effects on lung cancer.

OBJECTIVE

This study aimed to explore and elucidate the mechanism of action of PZD on lung cancer using network pharmacology methods.

METHODS

Active compounds were selected according to the ADME parameters recorded in the TCMSP database. Potential pathways related to genes were identified through GO and KEGG analysis. The compoundtarget network was constructed by using Cytoscape 3.7.1 software, and the core common targets were obtained by protein-protein interaction (PPI) network analysis. Batch molecular docking of small molecule compounds and target proteins was carried out by using the AutoDock Vina program. Different concentrations of PZD water extracts (10, 20, 40, 80, and 160 μg/mL) were used on lung cancer cells. Moreover, MTT and Transwell experiments were conducted to validate the prominent therapeutic effects of PZD on lung cancer cell H1299.

RESULTS

A total of 381 components in PZD were screened, of which 16 were selected as bioactive compounds. The compound-target network consisting of 16 compounds and 79 common core targets was constructed. MTT experiment showed that the PZD extract could inhibit the cell proliferation of NCI-H1299 cells, and the IC50 was calculated as 97.34 ± 6.14 μg/mL. Transwell and wound-healing experiments showed that the PZD could significantly decrease cell migration and invasion at concentrations of 80 and 160 μg/mL, respectively. The in vitro experiments confirmed that PZD had significant therapeutic effects on lung cancer cells, mainly through the PI3K/AKT signaling pathway.

CONCLUSION

PZD could inhibit the cell proliferation, migration, and invasion of NCI-H1299 cells partially through the PI3K/AKT signaling pathway. These findings suggested that PZD might be a potential treatment strategy for lung cancer patients.

Exploring the Mechanism of Zhishi-Xiebai-Guizhi Decoction for the Treatment of Hypoxic Pulmonary Hypertension based on Network Pharmacology and Experimental Analyses

BACKGROUND

Hypoxic Pulmonary Hypertension (HPH), a prevalent disease in highland areas, is a crucial factor in various complex highland diseases with high mortality rates. Zhishi-Xiebai-Guizhi decoction (ZXGD), traditional Chinese medicine with a long history of use in treating heart and lung diseases, lacks a clear understanding of its pharmacological mechanism.

OBJECTIVE

This study aimed to investigate the pharmacological effects and mechanisms of ZXGD on HPH.

METHODS

We conducted a network pharmacological prediction analysis and molecular docking to predict the effects, which were verified through in vivo experiments.

RESULTS

Network pharmacological analysis revealed 51 active compounds of ZXGD and 701 corresponding target genes. Additionally, there are 2,116 targets for HPH, 311 drug-disease co-targets, and 17 core-targets. GO functional annotation analysis revealed that the core targets primarily participate in biological processes such as apoptosis and cellular response to hypoxia. Furthermore, KEGG pathway enrichment analysis demonstrated that the core targets are involved in several pathways, including the phosphatidylinositol-3 kinase/protein kinase B (PI3K/Akt) signaling pathway and Hypoxia Inducible Factor 1 (HIF1) signaling pathway. In vivo experiments, the continuous administration of ZXGD demonstrated a significant improvement in pulmonary artery pressure, right heart function, pulmonary vascular remodeling, and pulmonary vascular fibrosis in HPH rats. Furthermore, ZXGD was found to inhibit the expression of PI3K, Akt, and HIF1α proteins in rat lung tissue.

CONCLUSION

In summary, this study confirmed the beneficial effects and mechanism of ZXGD on HPH through a combination of network pharmacology and in vivo experiments. These findings provided a new insight for further research on HPH in the field of traditional Chinese medicine.

Resveratrol Inhibits Nasopharyngeal Carcinoma (NPC) by Targeting the MAPK Signaling Pathway

BACKGROUND

With conventional cancer treatments facing limitations, interest in plant-derived natural products as potential alternatives is increasing. Although resveratrol has demonstrated antitumor effects in various cancers, its impact and mechanism on nasopharyngeal carcinoma remain unclear.

OBJECTIVE

This study aimed to systematically investigate the anti-cancer effects of resveratrol on nasopharyngeal carcinoma using a combination of experimental pharmacology, network pharmacology, and molecular docking approaches.

METHODS

CCK-8, scratch wound, and transwell assays were employed to confirm the inhibitory effect of resveratrol on the proliferation, migration, and invasion of nasopharyngeal carcinoma cells. H&E and TUNEL stainings were used to observe the morphological changes and apoptosis status of resveratrol-treated cells. The underlying mechanisms were elucidated using a network pharmacology approach. Immunohistochemistry and Western blotting were utilized to validate key signaling pathways.

RESULTS

Resveratrol inhibited the proliferation, invasion, and migration of nasopharyngeal carcinoma cells, ultimately inducing apoptosis in a time- and dose-dependent manner. Network pharmacology analysis revealed that resveratrol may exert its anti-nasopharyngeal carcinoma effect mainly through the MAPK pathway. Immunohistochemistry results from clinical cases showed MAPK signaling activation in nasopharyngeal carcinoma tissues compared to adjacent tissues. Western blotting validated the targeting effect of resveratrol, demonstrating significant inhibition of the MAPK signaling pathway. Furthermore, molecular docking supported its multi-target role with MAPK, TP53, PIK3CA, SRC, etc. Conclusion: Resveratrol has shown promising potential in inhibiting human nasopharyngeal carcinoma cells by primarily targeting the MAPK pathway. These findings position resveratrol as a potential therapeutic agent for nasopharyngeal carcinoma.