Network pharmacology: curing causal mechanisms instead of treating symptoms

Network pharmacology combined with experimental validation reveals the mechanism of action of cangerzisan on allergic rhinitis

ETHNOPHARMACOLOGICAL RELEVANCE

Allergic rhinitis (AR) stands as a non-infectious inflammatory condition affecting the nasal mucosa, marked by bouts of sneezing, nasal itching, and congestion. This ailment afflicts individuals across all age groups and poses challenges for effective treatment due to its chronic nature. Cangerzisan (CEZS), documented in the Jishengfang compendium, represents a traditional Chinese medicinal formula long utilized for AR management.

AIM OF THE STUDY

Investigating mechanism beneath therapeutic effect of CEZS in alleviating AR.

MATERIALS AND METHODS

The main active components in CEZS were determined by High Performance Liquid Chromatography (HPLC).The active constituents of CEZS and their corresponding targets were identified through an exhaustive screening process employing TCMSP database. To identify targets relevant to AR, GeneCards, OMIM, and DisGeNET databases were thoroughly applied. Protein-protein interaction (PPI) network was assembled utilizing STRING platform. Potential signaling pathways influenced by CEZS were delineated through GO and KEGG enrichment analyses. Subsequently, an AR model was induced by administering aluminum hydroxide (Al(OH)3) and ovalbumin (OVA) for affecting basal and local sensitization, respectively, facilitating experimental validation of the principal signaling pathways.

RESULTS

There were 61 active constituents identified within CEZS, targeting a pool of 129 entities associated with AR treatment. Pathways analysis of KEGG revealed that CEZS potentially inhibits AR advancement via modulating TLR4 signaling pathway. Animal experiments demonstrated that CEZS effectively alleviated symptom scores in guinea pigs with AR. Moreover, it exhibited notable improvements in serum immune and inflammatory factors levels, as well as reduced inflammatory infiltration within nasal mucosa, including goblet and mast cells. CEZS was found to enhance GATA-3 expression while reducing T-bet expression, thereby modulating the TH1/TH2 immune balance. Additionally, CEZS downregulated HMGB1, TLR4, and p-NF-κB/NF-κB protein expressions within nasal mucosa of guinea pigs.

CONCLUSIONS

The therapeutic mechanism of CEZS against AR involves rectifying TH1/TH2 immune imbalance and upregulating inflammatory and immune factors through modulating key proteins expression within TLR4 pathway. This targeted regulation effectively impedes AR progression.

Ginkgolide A enhances FoxO1 expression and reduces endoplasmic reticulum stress to mitigate osteoarthritis in mice

This study aimed to investigate the effects of Ginkgolide A (GA) on chondrocytes under oxidative stress and to elucidate its potential molecular mechanisms. Using a destabilization of the medial meniscus (DMM) model in mice and an in vitro osteoarthritis (OA) model induced by tert-butyl hydroperoxide (TBHP) in chondrocytes, we validated the therapeutic efficacy and underlying mechanisms of GA. Potential OA targets of GA were identified through network pharmacology, Gene Ontology (GO) analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Further exploration into the effects on endoplasmic reticulum stress (ERS), apoptosis, extracellular matrix (ECM) degradation, and Forkhead Box O1 (FoxO1) related pathways was conducted using Western blotting, immunofluorescence, TUNEL staining, flow cytometry, X-ray, micro-computed tomography (Micro-CT) analysis, and histological staining. The results demonstrated that GA upregulated FoxO1 expression and inhibited ERS-related signaling pathways, thereby reducing apoptosis and ECM degradation. In conclusion, GA significantly alleviated OA symptoms both in vitro and in vivo, suggesting its potential as a therapeutic agent for OA.

Traditional Chinese medicine for breast cancer treatment: a bibliometric and visualization analysis

CONTEXT

The use of traditional Chinese medicine (TCM) for breast cancer patients inhibits tumor cell growth and proliferation, alleviates adverse reactions, and inhibits tumor recurrence and metastasis post-surgery. An assessment of its historical efficacy and an examination of the latest research trends are imperative to thoroughly leverage the potential of TCM for breast cancer treatment.

OBJECTIVE

This study analyzes the published literature on TCM for breast cancer treatment using bibliometric analysis to determine the current state, identify hot spots, and discern trends, providing insight into research in this field.

METHODS

TCM-based breast cancer treatment publications between 2003 and 2022 were retrieved from the Web of Science, China National Knowledge Infrastructure, Wanfang, and Duxiu databases. Visual analysis was performed using VOSviewer (V1.6.19) and CiteSpace (V6.3.R1) software. Examined metrics included the annual publication count, literature and journal, national and institutional contributions, author co-occurrence, keyword co-occurrence, keywords timeline, and keywords with citation bursts in this research field.

RESULTS AND CONCLUSION

A total of 1080 English publications and 2617 Chinese publications were included in the analysis. China was the leading contributor of publications. High-frequency keywords such as 'apoptosis', 'expression', 'in vivo', 'chemotherapy', 'triple-negative breast cancer', and 'lymphedema' were identified from English and Chinese publications; 'epithelial mesenchymal transition' and 'network pharmacology' emerged as hotspots. The development of modern science, technology, and in-depth research can result in broader prospects for the research and application of TCM in breast cancer treatment, resulting in more effective solutions for the treatment of breast cancer and other malignant tumors.

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

ETHNOPHARMACOLOGICAL RELEVANCE

As a traditional Chinese medicine, the flower of Rhododendron molle G. Don (RMF) is record in the Chinese pharmacopoeia, and is commonly utilized for treating rheumatoid arthritis (RA) in clinical practice. However, its precise mechanisms necessitate further exploration.

AIM OF THE STUDY

To expound the effective components, targets, metabolites, and pathways participated in RMF's anti-RA effects by metabolomics integrated network pharmacology.

MATERIALS AND METHODS

CIA rats were intragastric administered RMF for 2 weeks, following which the therapeutic effects were comprehensively evaluated. Serum metabolomics was adopted to investigate the differential metabolites (DEMs). UHPLC-Q-Exactive-MS method was applied to identify the components of RMF, and then network pharmacology was utilize to select the component-RA-targets. Molecular docking and Western blotting were utilized to validate the key targets.

RESULTS

RA symptoms were alleviated by RMF through the inhibition secretion of pro-inflammatory factors IL-1β, IL-6 and TNF-α, along with relief in bone destruction observed in CIA rats. Four targets, namely AKR1B1, TPH1, CYP1A1, and CYP1A2, were identified, along with their corresponding metabolites, namely D-glucose, D-mannose, L-tryptophan, 11-deoxycorticosterone, and 17α-hydroxyprogesterone. These were found to be involved in three key metabolic pathways: steroid hormone biosynthesis, tryptophan metabolism, and galactose metabolism. Additionally, five significant anti-RA active components were identified from RMF, including Rhodojaponin (Rj)-Ⅱ, Rj-Ⅲ, Rj-Ⅴ, Rj-Ⅵ, and quercetin.

CONCLUSIONS

The anti-RA mechanisms of RMF were investigated in this study, focusing on active components, upstream targets, and downstream metabolites. These findings lay a foundation for the clinical practice and drug development of RMF.

Uncovering the protective mechanism of baicalin in treatment of fatty liver based on network pharmacology and cell model of NAFLD

Excessive nonesterified fatty acids (NEFA) impair cellular metabolism and will induce fatty liver formation in dairy cows during the periparturient. Baicalin, an active flavonoid, has great potential efficacy in alleviating lipid accumulation and ameliorating the development of fatty liver disease. Nevertheless, its mechanism remains unclear. Here, the potential mechanism of baicalin on system levels was explored using network pharmacology and in vitro experiments. Firstly, the target of baicalin and fatty liver disease was predicted, and then the protein-protein interaction (PPI) network was constructed. In addition, the Kyoto Encyclopedia of Genes and Genomes (KEGG) (q-value) pathway enrichment is performed through the Database for Annotation, Visualization, and Integrated Discovery (DAVID) server. Finally, the results of the network analysis of the in vitro treatment of bovine hepatocytes by NEFA were confirmed. The results showed that 33 relevant targets of baicalin in the treatment of liver fatty were predicted by network pharmacology, and the top 20 relevant pathways were extracted by KEGG database. Baicalin treatment can reduce triglyceride (TAG) content and lipid droplet accumulation in NEFA-treated bovine hepatocytes, and the mechanism is related to inhibiting lipid synthesis and promoting lipid oxidation. The alleviating effect of baicalin on fatty liver may be related to the up-regulation of solute vector family member 4 (SLC2A4), Down-regulated AKT serine/threonine kinase 1 (AKT1), Peroxisome proliferator-activated receptor gamma (PPARG), Epidermal growth factor receptor (EGFR), tumor necrosis factor (TNF), Interleukin 6 (IL-6) were associated. These results suggested that baicalin may modulate key inflammatory markers, and lipogenesis processes to prevent fatty liver development in dairy cows.

Rhein Alleviates Doxorubicin-Induced Myocardial Injury by Inhibiting the p38 MAPK/HSP90/c-Jun/c-Fos Pathway-Mediated Apoptosis

Doxorubicin (Dox) has been limited in clinical application due to its cardiac toxicity that varies with the dose. This study aimed to explore how Rhein modulates Dox-induced myocardial toxicity. The general condition and echocardiographic changes of mice were observed to evaluate cardiac function and structure, with myocardial cell injury and apoptosis checked by TUNEL and HE staining. The ELISA assessed markers of myocardial damage and inflammation. The TCMSP and SwissTargetPrediction databases were used to retrieve Rhein's targets while GeneCards was used to find genes related to Dox-induced myocardial injury. Intersection genes were analyzed by Protein-Protein Interaction Networks. The core network genes underwent GO and KEGG enrichment analysis using R software. Western blot was used to detect protein expression. Compared to the Dox group, there was no remarkable difference in heart mass /body mass ratio in the Rhein+Dox group. However, heart mass/tibia length increased. Mice in the Rhein+Dox group had significantly increased LVEF, LVPWs, and LVFS compared to those in the Dox group. Myocardial cell damage, inflammation, and apoptosis significantly reduced in the Rhein+Dox group compared to the model group. Eleven core network genes were selected. Further, Rhein+Dox group showed significantly downregulated expression of p38/p-p38, HSP90AA1, c-Jun/p-c-Jun, c-Fos/p-c-Fos, Bax, and cleaved-caspase-3/caspase-3 while Bcl-2 expression significantly upregulated compared to the Dox group. The study suggests that Rhein mediates cardioprotection against Dox-induced myocardial injury, at least partly, by influencing multiple core genes in the MAPK signaling pathway to inhibit myocardial cell apoptosis.

Identification of active ingredients in Naomaitai capsules using high-resolution mass spectrometry unite molecular network analysis and prediction of their action mechanisms

RATIONALE

Although Naomaitai capsule (NMC) is widely used in clinical practice and has a good curative effect for cerebral infarction, its material basis and mechanism of action remain unclear.

METHODS

In this study, ultra-high-performance liquid chromatography (UHPLC) coupled with quadrupole Orbitrap MS technology was used to analyse the in vivo and in vitro components of NMC, and the Global Natural Products Social Molecular Networking website was used to further analyse the components of NMC. Next, systems biology approaches were employed to investigate the mechanism of action of NMC. Finally, molecular docking technology was used to verify the network pharmacological results.

RESULTS

In total, 177 compounds were identified in vitro, including 65 terpenoids, 62 flavonoids, 25 organic acids and 11 quinones. 64 compounds were identified in the blood of mice, and the main active components included ginkgolide C, ginkgolide A, ligustilide, tanshinone IIB, olmelin, emodin and puerarin. The main targets in vivo included TP53, SRC, STAT3, PIK3CA and PIK3R1.

CONCLUSIONS

In conclusion, this study has revealed that NMC acts on multiple targets in the body through various active components, exerting synergistic effects in the treatment of CI. Its mechanism of action may involve inhibiting neuronal apoptosis, oxidative stress and inflammatory responses as well as reducing cerebral vascular permeability and promoting cerebral vascular regeneration.

Exploring the anti-inflammatory and immune regulatory effects of Taohe Chengqi decoction in sepsis-induced lung injury

ETHNOPHARMACOLOGICAL RELEVANCE

Sepsis presents complex pathophysiological challenges. Taohe Chengqi Decoction (THCQ), a traditional Chinese medicine, offers potential in managing sepsis-related complications, though its exact mechanisms are not fully understood.

AIM OF THE STUDY

This research aimed to assess the therapeutic efficacy and underlying mechanisms of THCQ on sepsis-induced lung injury.

MATERIALS AND METHODS

The study began with validating THCQ's anti-inflammatory effects through in vitro and in vivo experiments. Network pharmacology was employed for mechanistic exploration, incorporating GO, KEGG, and PPI analyses of targets. Hub gene-immune cell correlations were assessed using CIBERSORT, with further scrutiny at clinical and single-cell levels. Molecular docking explored THCQ's drug-gene interactions, culminating in qPCR and WB validations of hub gene expressions in sepsis and post-THCQ treatment scenarios.

RESULTS

THCQ demonstrated efficacy in modulating inflammatory responses in sepsis, identified through network pharmacology. Key genes like MAPK14, MAPK3, MMP9, STAT3, LYN, AKT1, PTPN11, and HSP90AA1 emerged as central targets. Molecular docking revealed interactions between these genes and THCQ components. qPCR results showed significant modulation of these genes, indicating THCQ's potential in reducing inflammation and regulating immune responses in sepsis.

CONCLUSION

This study sheds light on THCQ's anti-inflammatory and immune regulatory mechanisms in sepsis, providing a foundation for further research and potential clinical application.

Metabolomics and molecular dynamics unveil the therapeutic potential of epalrestat in diabetic nephropathy

Diabetic nephropathy (DN) is one of the leading clinical causes of end-stage renal failure. The classical aldose reductase (AR) inhibitor epalrestat shows beneficial effect on renal dysfunction induced by DN, with metabolic profile and molecular mechanisms remains to be investigated further. In the current study, integrated untargeted metabolomics, network pharmacology and molecular dynamics approaches were applied to explore the therapeutic mechanisms of epalrestat against DN. Firstly, untargeted serum and urine metabolomics analysis based on UPLC-Q-TOF-MS was performed, revealed that epalrestat could regulate the metabolic disorders of amino acids metabolism, arachidonic acid metabolism, pyrimidine metabolism and citrate cycle metabolism pathways after DN. Subsequently, metabolomics-based network analysis was carried out to predict potential active targets of epalrestat, mainly involving AGE-RAGE signaling pathway, TNF signaling pathway and HIF-1 signaling pathway. Moreover, a 100 ns molecular dynamics approach was employed to validate the interactions between epalrestat and the core targets, showing that epalrestat could form remarkable tight binding with GLUT1 and NFκB than it with AR. Surface-plasmon resonance assay further verified epalrestat could bind GLUT1 and NFκB proteins specifically. Overall, integrated system network analysis not only demonstrated that epalrestat could attenuate DN induced metabolic disorders and renal injuries, but also revealed that it could interact with multi-targets to play a synergistic regulatory role in the treatment of DN.

Unraveling Cordia myxa's anti-malarial potential: integrative insights from network pharmacology, molecular modeling, and machine learning

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.

Discovery of Kuraridin as a Potential Natural Anti-Melanogenic Agent: Focusing on Specific Target Genes and Multidirectional Signaling Pathways

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.

Anti-pyroptosis biomimetic nanoplatform loading puerarin for myocardial infarction repair: From drug discovery to drug delivery

Pyroptosis is a critical pathological mechanism implicated in myocardial damage following myocardial infarction (MI), and the crosstalk between macrophages and pyroptotic cardiomyocytes presents a formidable challenge for anti-pyroptosis therapies of MI. However, as single-target pyroptosis inhibitors frequently fail to address this crosstalk, the efficacy of anti-pyroptosis treatment post-MI remains inadequate. Therefore, the exploration of more potent anti-pyroptosis approaches is imperative for improving outcomes in MI treatment, particularly in addressing the crosstalk between macrophages and pyroptotic cardiomyocytes. Here, in response to this crosstalk, we engineered an anti-pyroptosis biomimetic nanoplatform (NM@PDA@PU), employing polydopamine (PDA) nanoparticles enveloped with neutrophil membrane (NM) for targeted delivery of puerarin (PU). Notably, network pharmacology is deployed to discern the most efficacious anti-pyroptosis drug (puerarin) among the 7 primary active monomers of TCM formulations widely applied in clinical practice and reveal the effect of puerarin on the crosstalk. Additionally, targeted delivery of puerarin could disrupt the malignant crosstalk between macrophages and pyroptotic cardiomyocytes, and enhance the effect of anti-pyroptosis by not only directly inhibiting cardiomyocytes pyroptosis through NLRP3-CASP1-IL-1β/IL-18 signal pathway, but reshaping the inflammatory microenvironment by reprogramming macrophages to anti-inflammatory M2 subtype. Overall, NM@PDA@PU could enhance anti-pyroptosis effect by disrupting the crosstalk between M1 macrophages and pyroptotic cardiomyocytes to protect cardiomyocytes, ameliorate cardiac function and improve ventricular remodeling, which providing new insights for the efficient treatment of MI.

Exploration of the potential association between newer antiseizure medications and arrhythmias: Integrating pharmacovigilance and bioinformatics evidence

INTRODUCTION

Arrhythmias resulting from newer antiseizure medications (ASMs) may significantly impact the safety and quality of life of patients with epilepsy. This study investigated the potential association between new first-line or second-line ASMs and arrhythmias.

METHODS

Pharmacovigilance analysis was conducted using data from the Food and Drug Administration Adverse Event Reporting System (FAERS) from 2004 to 2023. A disproportionality analysis was performed to compare newer ASMs with other drugs, using carbamazepine and valproate as positive controls. Newer ASMs were categorized into sodium channel (SCN) main mechanism, SCN possible mechanism, and non-SCN group. The bioinformatics analysis involved retrieving therapeutic gene targets for ASMs from the DrugBank and OMIM databases, as well as identifying arrhythmia disease targets from the GeneCards database. Additionally, enrichment analysis of gene ontology functions and KEGG pathways was conducted.

RESULTS

A total of 3,457 cases of arrhythmias associated with newer ASMs were identified in the FAERS database. Disproportionality analysis indicates that brivaracetam (IC025 = 0.08), zonisamide (IC025 = 0.13), eslicarbazepine (IC025 = 0.39), and lacosamide (IC025 = 0.84) exhibited a positive signal for arrhythmias, with signals predominantly observed in the SCN main mechanism group. Furthermore, bioinformatics analysis revealed the involvement of adrenergic signaling in cardiac myocytes, as well as the participation of sodium channel genes in ASM-induced arrhythmias.

CONCLUSION

Our findings suggest a potential association between SCN-ASMs and arrhythmias, highlighting the importance of monitoring and evaluating the safety profiles of newer ASMs in clinical practice. Further research is necessary to elucidate the underlying mechanisms and inform patient care strategies.

Shenfu Injection Mediated NLRP3/Caspase 1 Through (R)-Norcoclaurinee Alleviates Sepsis-Induced Cognitive Dysfunction

Background

Shenfu injection (SF) has demonstrated its potential to enhance cellular immunity and induce clinical regression in patients suffering from sepsis or infectious shock. However, the therapeutic effect of SF on sepsis-induced cognitive dysfunction (SAE) and the mechanisms involved are still unclear. We aimed to investigate the mechanism of SF in mice with SAE.

Methods

Sepsis was constructed by caecal ligation and puncture. Mice were injected intraperitoneally with SF or NLRP3 inhibitor. The hippocampus injury of brain tissues was evaluated, and the levels of inflammatory cytokines (IL-1β, IL-18) and NLRP3 and Caspase 1 were measured. The active ingredients of SF were analyzed using network pharmacology, and molecular docking of the active ingredients of SF with NLRP3 and Caspase 1 was performed. BV-2 cells were treated with LPS or norcoclaurine. CCK-8 detected the cell viability, and the levels of inflammatory cytokines and NLRP3 and Caspase 1 were measured.

Results

SF and NLRP3 inhibitor increased survival rate and the number of crossing the platform and decreased the escape latency time of sepsis mice. Moreover, SF and NLRP3 inhibitor improved neuronal damage and apoptosis in hippocampus of sepsis mice. In addition, SF and NLRP3 inhibitor reduced the levels of inflammatory cytokines, as well as inflammasomes in sepsis mice. There were 43 active ingredients in SF. Among them, 22 were Renshen and 21 were Fuzi. Renshen and Fuzi, the main active components of SF, form a complex regulatory network with NLRP3 and Caspase 1. (R)-norcoclaurine was most closely bound to NLRP3 with binding energy of -7.2 kJ·mol-1, ignavine was most closely bound to Caspase 1 with binding energy of -8.3 kJ·mol-1. Norcoclaurine increased the cell viability and decreased inflammation and pyroptosis.

Conclusion

SF regulated NLRP3/Caspase 1 through (R)-norcoclaurinee to prevent SAE.

Mechanism of action of "cistanche deserticola-Polygala" in treating Alzheimer's disease based on network pharmacology methods and molecular docking analysis

This article used network pharmacology, molecular docking, GEO analysis, and Gene Set Enrichment Analysis to obtain 38 main chemical components and 66 corresponding targets involved in Alzheimer's disease (AD) treatment in "Cistanche deserticola-Polygala". Through further Gene Ontology and Kyoto Encyclopaedia of Genes and Genomes enrichment analysis, we obtained AD signalling pathways, calcium signalling pathways, and other signalling pathways related to the treatment of AD with "Cistanche deserticola-Polygala". Molecular docking showed that most of the core chemical components had good binding ability with the core targets. This article aims to reveal the mechanism of "Cistanche deserticola-Polygala" in treating AD and provide a basis for the treatment of AD with "Cistanche deserticola-Polygala".

A review on drug repurposing applicable to obesity

Obesity is a major public health concern and burden on individuals and healthcare systems. Due to the challenges and limitations of lifestyle adjustments, it is advisable to consider pharmacological treatment for people affected by obesity. However, the side effects and limited efficacy of available drugs make the obesity drug market far from sufficient. Drug repurposing involves identifying new applications for existing drugs and offers some advantages over traditional drug development approaches including lower costs and shorter development timelines. This review aims to provide an overview of drug repurposing for anti-obesity medications, including the rationale for repurposing, the challenges and approaches, and the potential drugs that are being investigated for repurposing. Through advanced computational techniques, researchers can unlock the potential of repurposed drugs to tackle the global obesity epidemic. Further research, clinical trials, and collaborative efforts are essential to fully explore and leverage the potential of drug repurposing in the fight against obesity.

Network pharmacology and experimental verification to explore the anti-inflammatory activities of triterpenoids from Siraitia grosvenorii

Siraitia grosvenorii (Swingle) C. Jeffrey (SG), a Chinese medicinal plant, exhibits promising anti-inflammatory properties. Based on previous reports, aglycone and mogrosides bearing lesser glucosyl groups may contribute to the bioactivity of SG in vivo. However, research has rarely been conducted to compare their activities and analyse the structure-activity relationship. In this study, the anti-inflammatory potency of triterpenoids from SG and possible mechanisms of action based on network pharmacology were investigated. Furthermore, eighteen triterpenoids were chosen to assess their anti-inflammatory activities and structure-activity relationship in LPS-induced RAW 264.7 cells, among which 11-oxo-mogrol performed the best. Western blotting and molecular docking identified that 11-oxo-mogrol could regulate the PI3K/AKT signalling pathway. These findings provide valuable insights into the molecular mechanisms underlying the anti-inflammatory properties of triterpenoids from SG and support their application as potential therapeutic agents for inflammatory diseases.

Integrating metabolomics and network pharmacology analysis to explore mechanism of Pueraria lobata against pulmonary fibrosis: Involvement of arginine metabolism pathway

ETHNOPHARMACOLOGICAL RELEVANCE

Pueraria lobata (Willd.) Ohwi is a typical medicinal and edible plant with a long application history in China and Southeast Asia. As a widely used traditional medicine, P. lobata exhibits the properties of anti-inflammatory, antipyretic, antioxidant, relieving cough and asthma. Particularly, the increasing evidence indicates that the P. lobata has the therapeutic effect on fibrotic-related diseases in terms of metabolic regulation. However, the mechanisms of P. lobata on pulmonary fibrosis (PF) has not been thoroughly explored.

AIM OF THE STUDY

This study aimed to explore the effect of arginine metabolites of P. lobata against PF model by integrating metabolomics and network pharmacology analysis. It might provide a new idea for the target finding of P. lobata anti-pulmonary fibrosis.

MATERIALS AND METHODS

In this study, the Sprague Dawley (SD) rats were randomly divided into five experimental groups: saline-treated control group, bleomycin-induced fibrosis group, prednisolone acetate group, P. lobata 3.2 g/kg group and P. lobata 6.4 g/kg group. The therapeutic effect of P. lobata on bleomycin-induced PF in rats was evaluated by clinical symptoms such as lung function, body weight, hematoxylin eosin staining (HE), Masson staining and hydroxyproline assay. Next, the plasma metabolomics analysis was carried out by LC-MS to explore the pathological differences between the group of control, PF and P. lobata-treated rats. Then, the network pharmacology study coupled with experimental validation was conducted to analysis the results of metabolic research. We constructed the "component-target-disease" network of P. lobata in the treatment of PF. In addition, the molecular docking method was used to verify the interaction between potential active ingredients and core targets of P. lobata. Finally, we tested NOS2 and L-OT in arginine-related metabolic pathway in plasma of the rats by enzyme-linked immunosorbent assay (ELISA). Real-time PCR was performed to observe the level of TNF-α mRNA and MMP9 mRNA. And we tested the expression of TNF-α and MMP9 by Western blot analysis.

RESULTS

Our findings revealed that P. lobata improved lung function and ameliorated the pathological symptoms, such as pathological damage, collagen deposition, and body weight loss in PF rats. Otherwise, the plasma metabolomics were employed to screen the differential metabolites of amino acids, lipids, flavonoids, arachidonic acid metabolites, glycoside, etc. Finally, we found that the arginine metabolism signaling mainly involved in the regulating of P. lobata on the treatment of PF rats. Furtherly, the network pharmacology predicted that the arginine metabolism pathway was contained in the top 20 pathways. Next, we integrated metabolomics and network pharmacology that identified NOS2, MMP9 and TNF-α as the P. lobata regulated hub genes by molecular docking. Importantly, it indicated a strong affinity between the puerarin and the NOS2. P. lobata attenuated TNF-α, MMP-9 and NOS2 levels, suppressed TNF-α and MMP-9 protein expression, and decreased L-OT and NOS2 content in PF rats. These results indicated that the effects of P. lobata may ameliorated PF via the arginine metabolism pathway in rats. Therefore, P. lobata may be a potential therapeutic agent to ameliorated PF.

CONCLUSION

In this work, we used metabolomics and network pharmacology to explore the mechanisms of P. lobata in the treatment of PF. Finally, we confirmed that P. lobata alleviated BLM-induced PF in rats by regulating arginine metabolism pathway based on reducing the L-OT and NOS2-related signal molecular. The search for the biomarkers finding of arginine metabolism pathway revealed a new strategy for P. lobata in the treatment of PF.

The Traditional Chinese Medicine in Treating Diabetic Nephropathy: A Bibliometric Analysis

Background

Diabetic nephropathy (DN) is one of the most common complications of diabetes mellitus, causing a serious economic burden worldwide. Traditional Chinese Medicine (TCM) is playing an increasingly important role in the treatment of DN. The purpose of this study was to comprehend the main themes and developments in relevant research throughout the last 11 years.

Methods

We looked for publications in the Web of Science Core Collection database (WOS) and the Chinese National Knowledge Infrastructure (CNKI) between 2013 and 2024. CiteSpace 6.3.R1 software was used to analyze the co-authorship of countries/regions, organizations, and co-occurrence of keywords. In addition, burst detection was applied to predict research hotspots and future trends.

Results

A total of 530 articles were included. The overall trend of published articles is increasing. China is the country with the highest number of publications and the highest impact. The research institutions are relatively scattered, with Beijing University of Traditional Chinese Medicine having the highest number of publications. The cooperation among institutions is mainly between universities of traditional Chinese medicine and their affiliated hospitals, and the cross-regional cooperation is not common. The research hotspots are the efficacy of TCM on DN and its mechanism of action, the exploration of TCM and formulas related to the treatment of DN, and the identification and typing of DN in TCM. The research frontiers lie in the control of oxidative stress and the effects of TCM on gut microbiota. In addition, the use of network pharmacology to explore the targets of Chinese herbal formulas for the treatment of this disease has also become popular.

Conclusion

TCM provides more possibilities for the treatment of DN. Researchers can refer to the research hotspots and trends in this paper for future research direction, on the one hand, they can focus on the study of the clinical efficacy of TCM and its improvement of renal function, on the other hand, they can also start from the pharmacological mechanism of TCM for the treatment of DN. Among them, improving oxidative stress in human body and regulating gut microbiota are the directions that can be studied.

Potential Application of Egg White Peptides for Antioxidant Properties: Perspectives from Batch Stability and Network Pharmacology

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.

Puerarin alleviates apoptosis and inflammation in kidney stone cells via the PI3K/AKT pathway: Network pharmacology and experimental verification

Puerarin(PUE), an isoflavonoid extracted from Pueraria root, has anti-apoptotic effects. The objective of this research is to examine the impact of PUE on renal apoptosis and inflammation resulting from renal calculi and to elucidate its mechanism. The approach of network pharmacology and molecular docking was employed to discover potential targets and pathways of PUE. An animal model of calcium oxalate crystal deposition by intraperitoneal injection of glyoxylate and a model of COM-induced human renal tubular epithelial cells (HK2) were used to investigate the pharmacological mechanisms of PUE against apoptosis and inflammation. We used haematoxylin-eosin (H&E) and Periodic Acid-Schiff staining (PAS) to assess the effect of PUE on crystal deposition and damage. The mechanism of PUE was elucidated and validated using Western blotting, histology and immunohistochemical staining. Network pharmacology findings indicated that the PI3K/AKT pathway plays a crucial role in PUE. We experimentally demonstrate that PUE alleviated COM-induced changes in apoptotic proteins, increased inflammatory indicators and changes in oxidative stress-related indicators in HK2 cells by activating the PI3K/AKT pathway, reduced serum creatinine and urea nitrogen levels in mice caused by CaOx, alleviated crystal deposition and damage, and alleviated apoptosis, oxidative stress and inflammation. Puerarin attenuates renal apoptosis and inflammation caused by kidney stones through the PI3K/AKT pathway.

Bioinformatics and network pharmacology analysis of DWYG capsule for improving liver regeneration: identification of active compounds and mechanisms

Aimed to explore the mechanisms and targets of Diwu Yanggan Capsule (DWYG), a traditional Chinese medicine in liver regeneration, we used the TCMSP to obtain the active ingredients and targets of DWYG and the GEO database to obtain the DEGs related to liver regeneration. We also searched for liver regeneration-related genes in disease databases and integrated them with the herbal and GEO data to screen for potential targets of DWYG in liver regeneration. Enrichment analysis using R language and molecular docking of the key targets and active ingredients were constructed. We found 73 potential targets of DWYG in liver regeneration and revealed that DWYG may act through pathways such as MAPK, TNF, and IL-17. We also found that quercetin was a major component of DWYG with low binding energy to three key targets. Our results suggest that DWYG can facilitate liver regeneration and quercetin may be its core ingredient.

Exploring the mechanism of action of herbal compounding in the treatment of myasthenia gravis based on network pharmacology

Myasthenia gravis is a major disease in the context of an ageing society, and the discovery of effective herbal compound and herbal active ingredients is a highly promising direction for the treatment of myasthenia gravis. In this study, we selected shujiao, dried ginger and ginseng from the compound ingredients through a network pathology approach. The three ingredients were used to obtain drug targets in Traditional Chinese Medicine Systems Pharmacology (TCMSP), HERB and BATMAN-TCM data and intersected with the disease targets of myasthenia gravis. The resulting regulatory network maps were then used to identify core genes through the String database, and finally the core genes were molecularly aligned with the corresponding active ingredients using Autodock vina software. The 'herbal-component-target' regulatory network of the Chinese herbal formulae was constructed, which is important for finding the potential molecular mechanism for the treatment of myasthenia gravis. It will provide a theoretical basis for the therapeutic and clinical research of myasthenia gravis.

Combining bioinformatics, network pharmacology, and artificial intelligence to predict the mechanism of resveratrol in the treatment of rheumatoid arthritis

Background

Rheumatoid arthritis (RA) is a chronic autoimmune disorder that causes joint inflammation and destruction, resulting in significant physical and economic burdens. Finding effective and targeted therapy for RA remains a top priority. Resveratrol is a potential candidate with anti-inflammatory and immunomodulatory properties for RA treatment. This study aims to determine the therapeutic targets and signaling pathways of resveratrol in the treatment of RA.

Methods

The GSE205962 dataset downloaded from The Gene Expression Omnibus (GEO) database was used to obtain the differentially expressed genes (DEGs) in blood samples from the patients and the healthy. PharmMapper database and Cytoscape (v3.9.1) were applied to construct the resveratrol pharmacophore target network. Gene functional enrichment analysis, including the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, was based on the BiNGo plug-in of Cytoscape and David's online tool. The intersection of the target genes of resveratrol and the DEGs were considered potential therapeutic genes (PT-genes). The Protein-Protein Interaction (PPI) network of PT-genes was constructed using the STRING tool, and the key therapeutic genes (KT-genes) were determined using the cytoHubba plug-in based on the Maximal Clique Centrality (MCC) algorithms. Molecular docking validation of resveratrol and therapeutic targets was performed based on the protein structure of KT-genes predicted by AlphaFold.

Results

A total of 2202 DEGs and 47PT-genes were identified. GO analysis showed that the three groups of genes, the DEGs, the resveratrol target genes, and the PT-genes, have similar results for the top-five gene functional enrichment. PT-genes were closely related to the pathways of metabolic pathways, pathways in cancer, proteoglycans in cancer, insulin signaling pathway, and chemokine signaling pathway. The common pathway enriched by KEGG for the DEGs, and the resveratrol target genes was up to 36 %. The nine KT-genes were ABL1, ANXA5, CASP3, HSP90AA1, LCK, MAP2K1, MAPK1, PIK3R1, and RAC1, and the lowest free energy indicating the resveratrol/protein affinity were -8.4, -7.4, -6.4, -6.7, -8.0, -7.9, -7.4, -6.7, and -7.9, respectively.

Conclusion

Nine KT-genes were identified and validated as the most potential therapeutic targets in the treatment of RA with resveratrol, which provide new insights into therapeutic mechanisms and may improve the efficiency of drug development.

Bioinformatics analysis based on extracted ingredients combined with network pharmacology, molecular docking and molecular dynamics simulation to explore the mechanism of Jinbei oral liquid in the therapy of idiopathic pulmonary fibrosis

Objective

Jinbei oral liquid (JBOL), which is derived from a traditional hospital preparation, is frequently utilized to treat idiopathic pulmonary fibrosis (IPF) and has shown efficacy in clinical therapy. However, there are now several obstacles facing the mechanism inquiry, including target proteins, active components, and the binding affinity between crucial compounds and target proteins. To gain additional insight into the mechanisms underlying JBOL in anti-IPF, this study used bioinformation technologies, including network pharmacology, molecular docking, and molecular dynamic simulation, with a substantial amount of data based on realistic constituents.

Methods

Using network pharmacology, we loaded 118 realistic compounds into the SwissTargetPrediction and SwissADME databases and screened the active compounds and target proteins. IPF-related targets were collected from the OMIM, DisGeNET, and GeneCards databases, and the network of IPF-active constituents was built with Cytoscape 3.10.1. The GO and KEGG pathway enrichment analyses were carried out using Metascape, and the protein-protein interaction (PPI) network was constructed to screen the key targets with the STRING database. Finally, the reciprocal affinity between the active molecules and the crucial targets was assessed through the use of molecular docking and molecular dynamics simulation.

Results

A total of 122 targets and 34 tested active compounds were summarized in this investigation. Among these, kaempferol, apigenin, baicalein were present in high degree. PPI networks topological analysis identified eight key target proteins. AGE-RAGE, EGFR, and PI3K-Akt signaling pathways were found to be regulated during the phases of cell senescence, inflammatory response, autophagy, and immunological response in anti-IPF of JBOL. It was verified by molecular docking and molecular dynamics simulation that the combining way and binding energy between active ingredients and selected targets.

Conclusions

This work forecasts the prospective core ingredients, targets, and signal pathways of JBOL in anti-IPF, which has confirmed the multiple targets and pathways of JBOL in anti-IPF and provided the first comprehensive assessment with bioinformatic approaches. With empirical backing and an innovative approach to the molecular mechanism, JBOL is being considered as a potential new medication.

Network pharmacology and bioinformatics approach to unravel the mechanism of Xiao-chai-hu-tang herbal formula in tinnitus treatment

Background

Tinnitus treatment remains a global challenge, and current therapeutic approaches are still controversial. This study aims to elucidate the potential mechanisms of Xiao-Chai-Hu-Tang (XCHT) in treating tinnitus through the analysis of network pharmacology, mendelian randomization and molecular docking, and molecular dynamics simulation analysis. We hope to contribute to the research on the target of action of traditional Chinese medicine and exploration of the mechanism of tinnitus.

Methods

We utilized network pharmacology to screen potential targets of action of XCHT on tinnitus. Mendelian randomization was employed to determine the causal relationship between potential targets of action and tinnitus. Finally, molecular docking and molecular dynamics simulation with clear targets and the combination of the active ingredient in effectiveness.

Results

Through network pharmacology, we identified 38 potential targets of action. Mendelian randomization analysis revealed that HIF1A (OR [95 % CI] = 0.78 [0.65, 0.94], P = 0.008) and CCND1 (OR [95 % CI] = 1.22 [1.00, 1.49], P = 0.04) exhibited significant results with tinnitus. Molecular docking and molecular dynamics simulation of HIF1A and active ingredients demonstrated good binding efficacy.

Conclusion

HIF1A may play a key role in the treatment of tinnitus by XCHT, which may play a certain protective role in tinnitus patients and may inhibit the occurrence and development of tinnitus. However, the specific mechanism and effect need to be further studied and verified.

Network pharmacology-based investigation and experimental validation of the mechanism of metformin in the treatment of acute myeloid leukemia

Metformin, a widely used anti-diabetic agent, has shown significant anti-cancer properties as reported in in various cancers, including acute myeloid leukemia. However, the detailed mechanisms by which metformin influences acute myeloid leukemia remain unrevealed. Employing a synergistic approach of network pharmacology and experimental validation, this study systematically identifies and analyzes potential metformin targets and AML-related genes. These findings are then cross-referenced with biomedical databases to construct a target-gene network, providing insights into metformin's pharmacodynamics in AML treatment. Protein-Protein Interaction (PPI), Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses are utilized. Results show metformin's effectiveness in inhibiting AML cell proliferation and inducing apoptosis through the AKT/HIF1A/PDK1 signaling pathway. This research provides insights into metformin's clinical application in AML treatment.

Investigation of the Pharmacodynamic Components of Gastrodia elata Blume for Treatment of Type 2 Diabetes Mellitus through HPLC, Bioactivity, Network Pharmacology and Molecular Docking

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.

Network Pharmacology and in vitro Experimental Verification on Intervention of Oridonin on Non-Small Cell Lung Cancer

OBJECTIVE

To explore the key target molecules and potential mechanisms of oridonin against non-small cell lung cancer (NSCLC).

METHODS

The target molecules of oridonin were retrieved from SEA, STITCH, SuperPred and TargetPred databases; target genes associated with the treatment of NSCLC were retrieved from GeneCards, DisGeNET and TTD databases. Then, the overlapping target molecules between the drug and the disease were identified. The protein-protein interaction (PPI) was constructed using the STRING database according to overlapping targets, and Cytoscape was used to screen for key targets. Molecular docking verification were performed using AutoDockTools and PyMOL software. Using the DAVID database, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were conducted. The impact of oridonin on the proliferation and apoptosis of NSCLC cells was assessed using cell counting kit-8, cell proliferation EdU image kit, and Annexin V-FITC/PI apoptosis kit respectively. Moreover, real-time quantitative PCR and Western blot were used to verify the potential mechanisms.

RESULTS

Fifty-six target molecules and 12 key target molecules of oridonin involved in NSCLC treatment were identified, including tumor protein 53 (TP53), Caspase-3, signal transducer and activator of transcription 3 (STAT3), mitogen-activated protein kinase kinase 8 (MAPK8), and mammalian target of rapamycin (mTOR). Molecular docking showed that oridonin and its key target molecules bind spontaneously. GO and KEGG enrichment analyses revealed cancer, apoptosis, phosphoinositide-3 kinase/protein kinase B (PI3K/Akt), and other signaling pathways. In vitro experiments showed that oridonin inhibited the proliferation, induced apoptosis, downregulated the expression of Bcl-2 and Akt, and upregulated the expression of Caspase-3.

CONCLUSION

Oridonin can act on multiple targets and pathways to exert its inhibitory effects on NSCLC, and its mechanism may be related to upregulating the expression of Caspase-3 and downregulating the expressions of Akt and Bcl-2.

Integrating text mining with network models for successful target identification: in vitro validation in MASH-induced liver fibrosis

An in silico target discovery pipeline was developed by including a directional and weighted molecular disease network for metabolic dysfunction-associated steatohepatitis (MASH)-induced liver fibrosis. This approach integrates text mining, network biology, and artificial intelligence/machine learning with clinical transcriptome data for optimal translational power. At the mechanistic level, the critical components influencing disease progression were identified from the disease network using in silico knockouts. The top-ranked genes were then subjected to a target efficacy analysis, following which the top-5 candidate targets were validated in vitro. Three targets, including EP300, were confirmed for their roles in liver fibrosis. EP300 gene-silencing was found to significantly reduce collagen by 37%; compound intervention studies performed in human primary hepatic stellate cells and the hepatic stellate cell line LX-2 showed significant inhibition of collagen to the extent of 81% compared to the TGFβ-stimulated control (1 μM inobrodib in LX-2 cells). The validated in silico pipeline presents a unique approach for the identification of human-disease-mechanism-relevant drug targets. The directionality of the network ensures adherence to physiologically relevant signaling cascades, while the inclusion of clinical data boosts its translational power and ensures identification of the most relevant disease pathways. In silico knockouts thus provide crucial molecular insights for successful target identification.

A Dataset for Constructing the Network Pharmacology of Overactive Bladder and Its Application to Reveal the Potential Therapeutic Targets of Rhynchophylline

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.

Beyond the usual suspects: multi-factorial computational models in the search for neurodegenerative disease mechanisms

From Alzheimer's disease to amyotrophic lateral sclerosis, the molecular cascades underlying neurodegenerative disorders remain poorly understood. The clinical view of neurodegeneration is confounded by symptomatic heterogeneity and mixed pathology in almost every patient. While the underlying physiological alterations originate, proliferate, and propagate potentially decades before symptomatic onset, the complexity and inaccessibility of the living brain limit direct observation over a patient's lifespan. Consequently, there is a critical need for robust computational methods to support the search for causal mechanisms of neurodegeneration by distinguishing pathogenic processes from consequential alterations, and inter-individual variability from intra-individual progression. Recently, promising advances have been made by data-driven spatiotemporal modeling of the brain, based on in vivo neuroimaging and biospecimen markers. These methods include disease progression models comparing the temporal evolution of various biomarkers, causal models linking interacting biological processes, network propagation models reproducing the spatial spreading of pathology, and biophysical models spanning cellular- to network-scale phenomena. In this review, we discuss various computational approaches for integrating cross-sectional, longitudinal, and multi-modal data, primarily from large observational neuroimaging studies, to understand (i) the temporal ordering of physiological alterations, i(i) their spatial relationships to the brain's molecular and cellular architecture, (iii) mechanistic interactions between biological processes, and (iv) the macroscopic effects of microscopic factors. We consider the extents to which computational models can evaluate mechanistic hypotheses, explore applications such as improving treatment selection, and discuss how model-informed insights can lay the groundwork for a pathobiological redefinition of neurodegenerative disorders.

Unveiling the Renoprotective Mechanisms of Schisandrin B in Ischemia-Reperfusion Injury Through Transcriptomic and Pharmacological Analysis

Objective

This study investigates the targets, pathways, and mechanisms of Schisandrin B (Sch B) in alleviating renal ischemia-reperfusion injury (RIRI) using RNA sequencing and network pharmacology.

Methods

The effects of Sch B on RIRI were assessed using hematoxylin-eosin (HE) and periodic acid-Schiff (PAS) staining, along with measurements of blood creatinine and urea nitrogen (BUN). Differential gene expression in mouse models treated with RIRI and Sch B+RIRI was analyzed through RNA-Seq. Key processes, targets, and pathways were examined using network pharmacology techniques. The antioxidant capacity of Sch B was evaluated using assays for reactive oxygen species (ROS), mitochondrial superoxide, and JC-1 membrane potential. Molecular docking was employed to verify the interactions between key targets and Sch B, and the expression of these targets and pathway was confirmed using qRT-PCR, Western blot, and immunofluorescence.

Results

Sch B pre-treatment significantly reduced renal pathological damage, inflammatory response, and apoptosis in a mouse RIRI model. Pathological damage scores dropped from 4.33 ± 0.33 in the I/R group to 2.17 ± 0.17 and 1.5 ± 0.22 in Sch B-treated groups (p < 0.01). Creatinine and BUN levels were also reduced (from 144.6 ± 21.05 µmol/L and 53.51 ± 2.34 mg/dL to 50.44 ± 5.61 µmol/L and 17.18 ± 0.96 mg/dL, p < 0.05). Transcriptomic analysis identified four key targets (AKT1, ALB, ACE, CCL5) and the PI3K/AKT pathway. Experimental validation confirmed Sch B modulated these targets, reducing apoptosis and oxidative stress, and enhancing renal recovery.

Conclusion

Sch B reduces oxidative stress, inflammation, and apoptosis by modulating key targets such as AKT1, ALB, ACE, and CCL5, while activating the PI3K/AKT pathway, leading to improved renal recovery in RIRI.

Mechanism Actions of Coniferyl Alcohol in Improving Cardiac Dysfunction in Renovascular Hypertension Studied by Experimental Verification and Network Pharmacology

Renovascular hypertension (RH), a secondary hypertension, can significantly impact heart health, resulting in heart damage and dysfunction, thereby elevating the risk of cardiovascular diseases. Coniferol (CA), which has vascular relaxation properties, is expected to be able to treat hypertension-related diseases. However, its potential effects on cardiac function after RH remain unclear. In this study, in combination with network pharmacology, the antihypertensive and cardioprotective effects of CA in a two-kidney, one-clip (2K1C) mice model and its ability to mitigate angiotensin II (Ang II)-induced hypertrophy in H9C2 cells were investigated. The findings revealed that CA effectively reduced blood pressure, myocardial tissue damage, and inflammation after RH. The possible targets of CA for RH treatment were screened by network pharmacology. The interleukin-17 (IL-17) and tumor necrosis factor (TNF) signaling pathways were identified using a Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. The inflammatory response was identified using a Gene Ontology (GO) enrichment analysis. Western blot analysis confirmed that CA reduced the expression of IL-17, matrix metallopeptidase 9 (MMP9), cyclooxygenase 2 (COX2), and TNF α in heart tissues and the H9C2 cells. In summary, CA inhibited cardiac inflammation and fibrohypertrophy following RH. This effect was closely linked to the expression of MMP9/COX2/TNF α/IL-17. This study sheds light on the therapeutic potential of CA for treating RH-induced myocardial hypertrophy and provides insights into its underlying mechanisms, positioning CA as a promising candidate for future drug development.

Efficacy and mechanism of Schisandra chinensis active component Gomisin A on diabetic skin wound healing: network pharmacology and in vivo experimental validation

ETHNOPHARMACOLOGICAL RELEVANCE

Schisandra chinensis (Turcz.) Baill., a common traditional Chinese herbal medicine, has been used for the treatment of diabetes mellitus and its complications. However, the major active component for treating diabetic foot ulcers, a serious complication of diabetes mellitus, was unclear. This study aimed to predict the treatment effect of the active components in Schisandra chinensis against diabetic skin wound using network pharmacology and to confirm the underlying mechanism using a diabetic skin wound model in vivo.

AIM OF THE STUDY

To study the effects and underlying mechanisms of Schisandra chinensis and its main component Gomisin A on diabetic skin wound healing by network pharmacology and high-fat diet (HFD)-induced obese mice model in vivo.

MATERIALS AND METHODS

To determine the effectiveness of Schisandra chinensis on diabetic skin wound, network pharmacology was first used. Components of Schisandra chinensis were obtained from the Traditional Chinese Medicine Systems Pharmacology database. The active components were further verified through absorption, distribution, metabolism and excretion. The potential targets of the active components were identified from the Traditional Chinese Medicine Systems Pharmacology, SwissTargetPrediction, TargetNet, and the Comparative Toxicogenomics Database. Targets related to diabetic skin wound were collected from the GeneCards, OMIM, DisGeNET, and PharmGKB databases. The interaction network formed by the intersection of the two datasets was analyzed using Gephi. Network-based proximity was used to predict the network distance between the active components of Schisandra chinensis and diabetic skin wound. Gomisin A was found to have the lowest Z-score and was administered either orally or via topical injection to HFD-induced obese mice daily until the wounds healed, and its effects on skin wound healing were evaluated.

RESULTS

Only five active ingredients of Schisandra chinensis were screened in our system: Gomisin A, Longikaurin A, Deoxyharringtonine, Wuweizisu C, and Interiotherin B, which can regulate biological processes related to diabetic skin wound, including positive regulation of phosphorous metabolic process, positive regulation of cell migration, and response to wounding. Network proximity analysis found that Gomisin A has the closest distance-based Z-score among the diabetic skin wound modules and drug targets in the human protein-protein interaction network. The HFD-induced obese mice model further revealed that Gomisin A accelerated skin wound healing by increasing insulin sensitivity and decreasing the advanced glycation end-products mediated toll-like receptor 4 (TLR4)-p38 MAPK-IL6 inflammation signaling pathway.

CONCLUSIONS

The network pharmacology and in vivo studies indicated that Gomisin A from Schisandra chinensis played a crucial role in improving diabetic skin wound healing.

Systematic pharmacology and experimental validation to elucidate the inflammation-associated mechanism of Huanglian Wendan (HLWD) decoction in the treatment of MAFLD associated with atherosclerosis

ETHNOPHARMACOLOGICAL RELEVANCE

Metabolic-associated fatty liver disease (MAFLD) and atherosclerosis are very common disorders that frequently coexist. The therapeutic efficacy of Huanglian Wendan (HLWD) decoction, a traditional Chinese medicine (TCM) prescription, is satisfactory in treating MAFLD associated with atherosclerosis. However, the underlying mechanisms through which HLWD exerts its effects need to be elucidated. Given the complex composition of HLWD and its multiple therapeutic targets, pharmacological investigation is challenging.

AIM OF THIS STUDY

This study aimed to identify the effective compounds in HLWD and elucidate the mechanisms involved in its therapeutic effect on MAFLD associated with atherosclerosis.

MATERIALS AND METHODS

We used a systematic pharmacology method to identify effective compounds present in HLWD and determine the mechanism by which it affects MAFLD associated with atherosclerosis. The effective components of HLWD were identified through ultrahigh-performance liquid chromatography-q exactive-orbitrap high resolution mass spectrometry (UHPLC-Q-Orbitrap HRMS). Next, a comprehensive in silico method was used to predict potential related targets and disease targets for these compounds to establish corresponding pathways. The accuracy of our assumed systemic pharmacology results was determined by conducting follow-up experiments.

RESULTS

By conducting UHPLC-Q-Orbitrap HRMS combined with network analysis, we identified 18 potentially active components of HLWD and assessed the inflammatory regulatory mechanism by which it affects MAFLD associated with atherosclerosis on the basis of 52 key targets. We used a high-fat, high-cholesterol (HFHC)-induced mice model of MAFLD associated with atherosclerosis to confirm our results. We found that administering HLWD significantly improved the appearance of their liver and reduced their body weight, liver weight, blood lipids, hepatic damage, and hepatic pathology. HLWD also decreased atherosclerotic lesion areas, foam cells, and inflammatory cells in the aorta. HLWD showed anti-inflammatory effects, suppressed M1 polarization, and promoted M2 polarization in the liver and aorta. HLWD might also regulate peroxisome proliferator-activated receptor-γ (PPARγ)/nuclear factor kappa-B (NF-κB) signaling to influence macrophage polarization and inflammation.

CONCLUSIONS

Our results showed that HLWD protected against HFHC diet-induced MAFLD associated with atherosclerosis by regulating PPARγ/NF-κB signaling, thus adjusting macrophage polarization and inflammation. Additionally, pharmacochemistry research, network pharmacology analysis, and experimental verification can be combined to form a comprehensive model used in studies on TCM.

Mechanisms of Yiai Fuzheng formula in the treatment of triple-negative breast cancer based on UPLC-Q-Orbitrap-HRMS, network pharmacology, and experimental validation

Ethnopharmacological relevance

Yiai Fuzheng formula (YAFZF), as a Traditional Chinese Medicine (TCM) prescription, has been used widely at Zhongnan Hospital of Wuhan University for its therapeutic effects and high safety on triple-negative breast cancer (TNBC).

Objective

In this study, we employed ultra-high-performance liquid chromatography-quadrupole/orbitrap high-resolution mass spectrometry (UPLC-Q-Orbitrap-HRMS), network pharmacology, and experimental validation to elucidate the underlying action mechanism of YAFZF in the treatment of TNBC.

Methods

The key active ingredients in YAFZF were analyzed using UPLC-Q-Orbitrap-HRMS, and then the potential components, target genes and signalling pathways of YAFZF were predicted using the network pharmacological method. We then used molecular docking to visualize the combination characteristics between major active components and macromolecules in the crucial pathway. In vitro experiments were conducted to investigate the inhibitory effects of YAFZF treatment on the cell viability, invasion, and migration of 4T1 and MDA-MB-231 cells. The xenograft TNBC models were constructed using female Balb/c mice, and their body weights, tumour volumes, and weights were monitored during YAFZF treatment. Quantitative real-time PCR (qRT-PCR), Hematoxylin-eosin (HE), immunohistochemistry (IHC) staining, Western blot (WB), and terminal deoxynucleotidyl transferase (TdT)-dUTP nick-end labeling (TUNEL) staining were used for further experimental validation.

Results

Based on UPLC-Q-Orbitrap-HRMS and network pharmacology analysis, 6 major bioactive components and 153 intersecting genes were obtained for YAFZF against TNBC. Functional enrichment analysis identified that the phosphatidylinositol 3-kinase (PI3K)-protein kinase B (Akt) signalling pathway might be the mechanism of action of YAFZF in the treatment of TNBC. Molecular docking results suggested that the main active compounds in YAFZF had strong binding energies with the proteins in the PI3K/Akt pathway. In vitro experiments showed that YAFZF inhibited the cell viability, invasion, and migration abilities of TNBC cells. Animal experiments confirmed that YAFZF treatment suppressed tumour cell proliferation and increased apoptotic cells. PCR, HE, WB, and IHC results indicated that YAFZF could suppress xenograft tumour metastases by inhibiting the PI3K/AKT/mTOR pathway regulating the epithelial-mesenchymal transition (EMT) process.

Conclusion

YAFZF therapy showed its potential for reducing proliferation, invasion, and migration abilities, increasing apoptosis of TNBC cells. Furthermore, YAFZF treated TNBC by inhibiting xenograft tumour distant metastases via the regulation of EMT by the PI3K/Akt/mTOR pathway, suggesting that it may be useful as an adjuvant treatment.

Radix Rehmanniae Praeparata promoted zebrafish fin regeneration through aryl hydrocarbon receptor-dependent autophagy

HEADINGS ETHNOPHARMACOLOGICAL RELEVANCE

Rehmanniae Radix Praeparata (RRP), a staple in traditional Chinese medicine, is derived from Rehmannia glutinosa Libosch and is renowned for its wound-healing properties. Despite its clinical prevalence, the molecular mechanisms underlying RRP's wound-healing effects have not been fully elucidated.

AIM OF THE STUDY

This research endeavored to delineate the molecular and cellular mechanisms underlying the beneficial effects of RRP on wound healing, utilizing a zebrafish model.

MATERIALS AND METHODS

Zebrafish larvae at 3 days post-fertilization were amputated at the fin and subsequently treated with RRP. The pro-wound healing and regenerative effects of RRP were evaluated through morphological analysis, assessment of cell proliferation and apoptosis, Additionally, mechanistic insights were gained through a comprehensive approach encompassing network pharmacology analysis, cell tracing, RNA-sequencing, CRISPR/Cas9 gene editing, and pharmacological inhibition.

RESULTS

Our findings demonstrate that RRP significantly accelerates caudal fin regeneration in zebrafish following injury by suppressing cell apoptosis, promoting cell proliferation, and upregulating the expression of regenerative-related genes. Furthermore, RRP triggers autophagy signals during the regenerative process, which is attenuated by the autophagy inhibitor chloroquine (CQ). Notably, the administration of RRP enhances the expression of ahr1 and ahr2 in the regenerating fin. Genetic knockout of ahr1a, ahr1b, or ahr2 using CRISPR/Cas9, or pharmacological blockade of AHR signals with the antagonist CH-223191, diminishes the regenerative potential of RRP. Remarkably, zebrafish lacking ahr2 completely lose their fin regeneration ability. Additionally, inhibition of AHR signaling suppresses autophagy signaling during fin regeneration.

CONCLUSIONS

This study uncovers that RRP stimulates fin regeneration in zebrafish by inducing AHR signals and, at least partially, activating the autophagy process. These findings provide novel insights into the molecular mechanisms underlying the wound-healing effects of RRP and may pave the way for the development of novel therapeutic strategies.

Exploring the potential mechanism of ginsenoside Rg1 to regulate ferroptosis in Alzheimer's disease based on network pharmacology

OBJECTIVES

To explore the pathogenesis of Alzheimer's disease (AD), the potential targets and signaling pathways of ginsenoside Rg1 against AD were investigated by network pharmacology.

METHODS

Ginsenoside Rg1 targets were identified through PubChem, PharmMapper, and Uniprot databases, while the GeneCards database was used to examine the respective targets of amyloid precursor protein (APP) and AD. Then, the common targets between ginsenoside Rg1 and APP were explored by the Venny tool, the interaction network diagram between the active components and the targets was built via Cytoscape software, as well as GO enrichment and KEGG pathway annotation analysis were performed. Furthermore, genes associated with ferroptosis were found by the GeneCards and FerrDb databases. Besides, the connection among ginsenoside Rg1, APP, ferroptosis, and AD was predicted and analyzed. Finally, the effects of ginsenosides Rg1 and liproxstain-1 on the proliferation and differentiation of APP/PS1 mice were evaluated by immunohistochemistry.

RESULTS

Ginsenoside Rg1, APP, ferroptosis, and AD had 12 hub genes. GO enrichment and KEGG pathway annotation analysis showed that EGFR, SRC, protein hydrolysis, protein phosphorylation, the Relaxin pathway, and the FoxO signaling pathway play an important role in the potential mechanism of ginsenoside Rg1's under regulation of ferroptosis anti-AD through the modulation of APP-related signaling pathways. The APP/PS1 mice experiment verified that ginsenosides Rg1 and liproxstain-1 can promote the proliferation and differentiation.

CONCLUSION

Ginsenoside Rg1, APP and ferroptosis may act on EGFR, SRC, the Relaxin and FoxO signaling pathways to regulate protein metabolism, protein phosphorylation and other pathways to improve AD symptoms.

Endotype-driven Co-module mechanisms of danhong injection in the Co-treatment of cardiovascular and cerebrovascular diseases: A modular-based drug and disease integrated analysis

ETHNOPHARMACOLOGICAL RELEVANCE

Cardiovascular and cerebrovascular diseases are the leading causes of death worldwide and interact closely with each other. Danhong Injection (DHI) is a widely used preparation for the co-treatment of brain and heart diseases (CTBH). However, the underlying molecular endotype mechanisms of DHI in the CTBH remain unclear.

AIM OF THIS STUDY

To elucidate the underlying endotype mechanisms of DHI in the CTBH.

MATERIALS AND METHODS

In this study, we proposed a modular-based disease and drug-integrated analysis (MDDIA) strategy for elucidating the systematic CTBH mechanisms of DHI using high-throughput transcriptome-wide sequencing datasets of DHI in the treatment of patients with stable angina pectoris (SAP) and cerebral infarction (CI). First, we identified drug-targeted modules of DHI and disease modules of SAP and CI based on the gene co-expression networks of DHI therapy and the protein-protein interaction networks of diseases. Moreover, module proximity-based topological analyses were applied to screen CTBH co-module pairs and driver genes of DHI. At the same time, the representative driver genes were validated via in vitro experiments on hypoxia/reoxygenation-related cardiomyocytes and neuronal cell lines of H9C2 and HT22.

RESULTS

Seven drug-targeted modules of DHI and three disease modules of SAP and CI were identified by co-expression networks. Five modes of modular relationships between the drug and disease modules were distinguished by module proximity-based topological analyses. Moreover, 13 targeted module pairs and 17 driver genes associated with DHI in the CTBH were also screened. Finally, the representative driver genes AKT1, EDN1, and RHO were validated by in vitro experiments.

CONCLUSIONS

This study, based on clinical sequencing data and modular topological analyses, integrated diseases and drug targets. The CTBH mechanism of DHI may involve the altered expression of certain driver genes (SRC, STAT3, EDN1, CYP1A1, RHO, RELA) through various enriched pathways, including the Wnt signaling pathway.

Huangqi-Danshen Decoction Against Renal Fibrosis in UUO Mice via TGF-β1 Induced Downstream Signaling Pathway

Background

Huangqi-Danshen decoction (HDD) is a Chinese medicinal herb pair with good efficacy in treating chronic kidney disease, but its mechanism needs to be clarified.

Aim

To uncover the underlying mechanism of HDD antagonizing renal fibrosis through network pharmacology (NP) analysis and experimental validation.

Materials and Methods

The chemical components of water extract of HDD were analyzed by combining the ultra-high performance liquid chromatography coupled with Q-Exactive mass spectrum analysis (UHPLC-QE-MS) and HERB database. NP was used to identify core common targets of HDD components and renal fibrosis. Subsequently, male C57BL/6 mice were divided into Sham, unilateral ureteral obstruction (UUO) and UUO+HDD groups. Renal function, histopathology, Western blotting, and immunohistochemistry analyses were used to evaluate the protective effect of HDD on UUO mice. The effects of HDD on signaling pathways were validated in both UUO mice and transforming growth factor-β1 (TGF-β1)-induced HK-2 cells.

Results

By combining UHPLC-QE-MS analysis and HERB database, 25 components were screened in HDD extract. There were 270 intersection targets of the 25 components and renal fibrosis. Based on their scores in protein-protein interaction analysis and degree values in component-pathway-target triadic network, 6 core common targets of the 25 components and renal fibrosis were identified, namely phosphoinositide 3-kinase (PI3K), signal transducer and activator of transcription 3 (Stat3), non-receptor tyrosine kinase Src (Src), epidermal growth factor receptor (EGFR), matrix metalloproteinase 9 (MMP9), and MMP2. HDD ameliorated renal tubular damage and collagen deposition and downregulated fibrosis-related proteins expression in UUO mice. Furthermore, HDD was demonstrated to reduce PI3K, Stat3, Src, EGFR, and MMP2 expressions, and enhance MMP9 expression in the kidney of UUO mice and in TGF-β1-induced HK-2 cells.

Conclusion

HDD can alleviate renal fibrosis which may be related to regulating the expression of essential proteins in the epithelial-mesenchymal transition and extracellular matrix production/degradation signaling pathways.

Ginkgo Biloba Bioactive Phytochemicals against Age-Related Diseases: Evidence from a Stepwise, High-Throughput Research Platform

The seeds of ginkgo biloba L (GB) have been widely used worldwide. This study investigated the bioefficacies of whole GB seed powder (WGP) retaining the full nutrients of ginkgo against aging, atherosclerosis, and fatigue. The experimental results indicated that WGP lowered brain monoamine oxidase and serum malondialdehyde levels, enhanced thymus/spleen indexes, and improved learning ability, and delayed aging in senescent mice. WGP regulated lipid levels and prevented atherosclerosis by reducing triglycerides, lowering low-density lipoprotein cholesterol, increasing high-density lipoprotein cholesterol, and decreasing the atherosclerosis index. WGP improved exercise performance by reducing blood lactate accumulation and extending exhaustive swimming and climbing times, improved energy storage by increasing muscle/liver glycogen levels, and relieved physical fatigue. Network pharmacology analysis revealed 270 potential targets of WGP that play roles in cellular pathways related to inflammation inhibition, metabolism regulation, and anti-cellular senescence, etc. Protein-protein interaction analysis identified 10 hub genes, including FOS, ESR1, MAPK8, and SP1 targets. Molecular docking and molecular dynamics simulations showed that the bioactive compounds of WGP bound well to the targets. This study suggests that WGP exerts prominent health-promoting effects through multiple components, targets, and pathways.

Active Components of Wen Fei Fu Yang Qu Tan Fang and its Molecular Targets for Chronic Obstructive Pulmonary Disease Based on Network Pharmacology and Molecular Docking

To investigate the mechanism of Wen Fei Fu Yang Qu Tan Fang (WFFYQTF) in the treatment of chronic obstructive pulmonary disease (COPD) using network pharmacology and pharmacodynamics. The TCMSP database was utilized to identify the chemical components and molecular targets of WFFYQTF. Cytoscape software was employed to construct a "drug component-target" network. COPD risk genes and intersecting molecular targets of WFFYQTF were identified using GeneCards, OMIM, and DisGeNET databases. The STRING website was the place where protein-protein interaction (PPI) analysis was performed. Cytoscape topological analysis was applied for screening out key targets of WFFYQTF. GO and KEGG enrichment analyses were conducted using the DAVID database to elucidate the treatment targets of COPD with WFFYQTF. A total of 136 active components of WFFYQTF were identified, including key components such as quercetin, kaempferol, and luteolin, which were found to be particularly significant. Additionally, 412 drug targets and 7121 COPD risk genes were screened out, and 323 treatment targets of COPD with WFFYQTF were determined by Wayne analysis. Core targets identified via PPI analysis included SRC, STAT3, AKT1, HSP90AA1, and JUN. Pathways such as the hypoxia responce, inflammatory response, PI3K/AKT pathway, TH17 pathway and MAPK pathway were obtained with GO and KEGG enrichment analyses. Molecular docking results suggested that quercetin could be soundly bound to STAT3 and AKT1, and kaempferol to SRC. WFFYQTF can effectively impede COPD progression through the coordinated action of multiple components, targets, and pathways during treatment.

Mechanisms Underlying the Therapeutic Effects of JianPiYiFei II Granules in Treating COPD Based on GEO Datasets, Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulations

BACKGROUND

JianPiYiFei (JPYF) II granules are a Chinese medicine for the treatment of chronic obstructive pulmonary disease (COPD). However, the main components and underlying mechanisms of JPYF II granules are not well understood. This study aimed to elucidate the potential mechanism of JPYF II granules in the treatment of COPD using network pharmacology, molecular docking, and molecular dynamics simulation techniques.

METHODS

The active compounds and corresponding protein targets of the JPYF II granules were found using the TCMSP, ETCM, and Uniport databases, and a compound-target network was constructed using Cytoscape3.9.1. The COPD targets were searched for in GEO datasets and the OMIM and GeneCards databases. The intersection between the effective compound-related targets and disease-related targets was obtained, PPI networks were constructed, and GO and KEGG enrichment analyses were performed. Then, molecular docking analysis verified the results obtained using network pharmacology. Finally, the protein-compound complexes obtained from the molecular docking analysis were simulated using molecular dynamics (MD) simulations.

RESULTS

The network pharmacological results showed that quercetin, kaempferol, and stigmasterol are the main active compounds in JPYF II granules, and AKT1, IL-6, and TNF are key target proteins. The PI3K/AKT signaling pathway is a potential pathway through which the JPYF II granules affect COPD. The results of the molecular docking analysis suggested that quercetin, kaempferol, and stigmasterol have a good binding affinity with AKT1, IL-6, and TNF. The MD simulation results showed that TNF has a good binding affinity with the compounds.

CONCLUSIONS

This study identified the effective compounds, targets, and related underlying molecular mechanisms of JPYF II granules in the treatment of COPD through network pharmacology, molecular docking, and MD simulation techniques, which provides a reference for subsequent research on the treatment of COPD.

Tiaogan Bushen Xiaoji Formula Enhances the Sensitivity of Estrogen Receptor- Positive Breast Cancer to Tamoxifen by Inhibiting the TGF-β/SMAD Pathway

Background

The resistance to endocrine therapy can lead to recurrence and metastasis of breast cancer (BC), affecting the survival period. Tiaogan Bushen Xiaoji (TGBSXJ) Formula, a traditional Chinese medicine (TCM) decoction, has been widely used in the treatment of estrogen receptor-positive (ER+) BC. However, the underlying mechanism of TGBSXJ Formula in ER+BC treatment has not been totally elucidated.

Methods

Network pharmacology (NP) and RNA sequencing were used to predict the candidate ingredients and explore the potential targets of TGBSXJ Formula. Then, the results of NP and RNA sequencing were investigated by in vitro experiments.

Results

Active ingredients of TGBSXJ Formula mainly included Mangiferin, Rutin, Anemarrhena asphodeloides saponin BII, Ganoderic acid A and Acacetin, etc. A protein-protein interaction (PPI) network was created based on the active ingredients of TGBSXJ Formula and target genes of ER+ BC, in which TGF-β, MMP2 and SMAD3 were defined as the hub genes. In vitro experiments showed that TGBSXJ Formula significantly inhibited the viability, colony ability and migration of ER+ BC cells, and significantly increased the sensitivity to TAM. Western blot analysis showed that TGBSXJ Formula significantly downregulated TGF-β, E-cadherin, MMP2, MMP9, N-cadherin, p-Smad2 and p-Smad3 in ER+ BC cells.

Conclusion

TGBSXJ Formula increases the sensitivity of ER+ BC cells to TAM by inhibiting the TGF-β/Smad signaling pathway.

Sappanone A ameliorated imiquimod-induced psoriasis-like dermatitis in BALB/c mice via suppressing Mmp8 expression and IL-17 signaling pathway

Psoriasis is a prevalent immune-mediated inflammatory skin disease characterized by excessive abnormal proliferation of keratinocytes and infiltration of immune cells, which have significant impact on the life quality of individuals. Although biological agents and small molecule targeted drugs have brought significant clinical benefits to psoriasis patients, adverse reactions and high prices remains key issues in clinical medication of psoriasis, while natural product monomers possess high efficiency, low toxicity, anti-inflammatory and immunomodulatory properties, and bring new hope for the clinical treatment of psoriasis. Sappanone A (SA), a small molecule compound isolated from Caesalpinia sappan L, exhibits significant anti-inflammatory properties in various models, such as kidney inflammation and LPS-induced mice inflammation. Among these effects, the anti-inflammatory property of SA has received significant attention. In our study, we found that SA exhibited anti-proliferation and anti-inflammatory effects in HaCaT cells, and significantly alleviated imiquimod-induced psoriasis-like skin lesions via the inhibition of the excessive proliferation of keratinocytes and the infiltration of lymphocytes. Furthermore, the combinational analysis of network pharmacology and transcriptome sequencing revealed that SA exerted anti-psoriasis effects by inhibiting the matrix metalloproteinase 8 (Mmp8) expression and IL-17 pathway activation. In summary, we have first demonstrated that SA can be used as a novel anti-psoriasis drug, which may provide a novel strategy for the clinical treatment of psoriasis.

Preservation of Mitochondrial Function by SkQ1 in Skin Fibroblasts Derived from Patients with Leber's Hereditary Optic Neuropathy Is Associated with the PINK1/PRKN-Mediated Mitophagy

Increased or altered mitochondrial ROS production in the retinal ganglion cells is regarded as the chief culprit of the disease-causing Leber's hereditary optic neuropathy (LHON). SkQ1 is a rechargeable mitochondria-targeted antioxidant with high specificity and efficiency. SkQ1 has already been used to treat LHON patients, and a phase 2a randomized clinical trial of SkQ1 has demonstrated improvements in eyesight. However, the underlying mechanism of SkQ1 in LHON remains unclear. This study aimed to assess the effects and molecular mechanism of SkQ1 in the preservation of mitochondrial function using skin fibroblasts derived from LHON patients. Our study found that SkQ1 could reduce ROS production and stabilize the mitochondrial membrane. Mechanistically, through network pharmacology and molecular docking, we identified the key targets of SkQ1 as SOD2 and PINK1, which play crucial roles in redox and mitophagy. SkQ1 interacted with PINK1 and downregulated its expression to balance mitochondrial homeostasis. Collectively, the findings of our study reveal that by regulating PINK1/PRKN-mediated mitophagy, SkQ1 preserves mitochondrial function in LHON fibroblasts. The data indicate that SkQ1 may be a novel therapeutic intervention to prevent the progression of LHON.

Emerging insights into traditional Chinese medicine associated with neurodegenerative diseases: A bibliometric analysis

ETHNOPHARMACOLOGICAL RELEVANCE

Research suggests that traditional Chinese medicine (TCM) holds promise in offering innovative approaches to tackle neurodegenerative disorders. In our endeavor, we conducted a comprehensive bibliometric analysis to delve into the landscape of TCM research within the realm of neurodegenerative diseases, aiming to uncover the present scenario, breadth, and trends in this field. This analysis presents potentially valuable insights for the clinical application of traditional Chinese medicine and provides compelling evidence supporting its efficacy in the treatment of neurodegenerative conditions.

AIM OF THE STUDY

The incidence of neurodegenerative diseases is on the rise, yet effective treatments are still lacking. Research indicates that TCM could offer novel perspectives for addressing neurodegenerative conditions. Nonetheless, the literature on this topic is intricate and multifaceted, with existing reviews offering only limited coverage. To gain a thorough understanding of TCM research in neurodegenerative diseases, we undertook a bibliometric analysis to explore the current status, scope, and trends in this area.

MATERIALS AND METHODS

A literature search was carried out on April 1, 2024, utilizing the Web of Science Core Collection (WoSCC). Visualization and quantitative analyses were then performed with the assistance of CiteSpace, VOSviewer, and R software.

RESULTS

A total of 6856 articles were retrieved in the search. Research on TCM for neurodegenerative diseases commenced in 1989 and has exhibited a notable overall growth since then. Main research contributors include East Asian countries like China, as well as the United States. Through our analysis, we identified 15 highly productive authors, 10 top-tier journals, 13 citation clusters, 11 influential articles, and observed a progression in keyword evolution across 4 distinct categories. In 2020, there was a significant upsurge in the knowledge base, collaboration efforts, and publication output within the field. This field is interdisciplinary: network pharmacology emerges as the cutting-edge paradigm in TCM research, while Alzheimer's disease remains a prominent focus among neurodegenerative conditions due to its evolving etiology. A burst detection analysis unveils that in 2024, the focal points of research convergence between TCM and neurodegenerative diseases lie in two key biological processes or mechanisms: autophagy and microbiota.

CONCLUSIONS

For the first time, this study quantitatively and visually captures the evolution of TCM in addressing neurodegenerative diseases, showcasing a notable acceleration in recent years. Our findings underscore the pivotal role of interdisciplinary collaboration and the necessity for increased global partnerships. Network pharmacology, leveraging the advancements of the big data era, embraces a holistic and systematic approach as a novel paradigm in exploring traditional Chinese medicine and unraveling their fundamental mechanisms. Three ethnomedical plants-Tianma, Renshen, and Wuweizi-demonstrate the promise of their bioactive compounds in treating neurodegenerative disorders, bolstered by their extensive historical usage for such ailments. Moreover, our intricate analysis of the evolutionary trajectories of key themes such as targets and biomarkers substantially enriches our comprehension of the underlying mechanisms involved.

Association and mechanism of montelukast on depression: A combination of clinical and network pharmacology study

BACKGROUND

Post-marketing surveillance found montelukast use was associated with an increased risk of depression. However, results of observational studies are inconsistent.

OBJECTIVE

This study aimed to assess whether montelukast exposure is associated with depression and elucidate the possible molecular mechanism.

METHOD

We conducted a cross-sectional study of 9508 adults from the National Health and Nutrition Examination Survey (NHANES) 2007-2016. Multivariable regression was used to evaluate the association between montelukast exposure and depression. Network pharmacology was conducted to identify the mechanisms of montelukast on depression.

RESULTS

Montelukast exposure had a higher prevalence of depression (37.4 %). In a multivariable logistic regression model adjusted for sociodemographic, behavioural, and health characteristics, montelukast exposure was associated with depression (odds ratio [OR]: 1.61; confidence interval [CI]: 1.18-2.19). Network pharmacology was identified 69 key targets of montelukast on depression. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis suggested montelukast mainly works through multiple pathways in endocrine resistance, chemical carcinogenesis-receptor activation, estrogen signaling pathway, etc. LIMITATIONS: Cross-sectional data.

CONCLUSIONS

The study implies a potential positive association between long-term montelukast exposure and depression through multi-faceted mechanisms. It is suggested that attention be given to the possibility of depression in patients undergoing prolonged montelukast therapy.

Fundamentals of redox regulation in biology

Oxidation-reduction (redox) reactions are central to the existence of life. Reactive species of oxygen, nitrogen and sulfur mediate redox control of a wide range of essential cellular processes. Yet, excessive levels of oxidants are associated with ageing and many diseases, including cardiological and neurodegenerative diseases, and cancer. Hence, maintaining the fine-tuned steady-state balance of reactive species production and removal is essential. Here, we discuss new insights into the dynamic maintenance of redox homeostasis (that is, redox homeodynamics) and the principles underlying biological redox organization, termed the 'redox code'. We survey how redox changes result in stress responses by hormesis mechanisms, and how the lifelong cumulative exposure to environmental agents, termed the 'exposome', is communicated to cells through redox signals. Better understanding of the molecular and cellular basis of redox biology will guide novel redox medicine approaches aimed at preventing and treating diseases associated with disturbed redox regulation.