Traditional System Of Medicine Research Articles

Anti-Neuroinflammatory Effects of Adaptogens: A Mini-Review.

Introduction: Adaptogens are a group of plants that exhibit complex, nonspecific effects on the human body, increasing its ability to adapt, develop resilience, and survive in stress conditions. They are found in many traditional medicinal systems and play a key role in restoring the body's strength and stamina. Research in recent years has attempted to elucidate the mechanisms behind their pharmacological effects, but it appears that these effects are difficult to define precisely and involve multiple molecular pathways. Neuroinflammation: In recent years, chronic inflammation has been recognized as one of the common features of many central nervous system disorders (dementia and other neurodegenerative diseases, depression, anxiety, ischemic stroke, and infections). Because of the specific nature of the brain, this process is called neuroinflammation, and its suppression can result in an improvement of patients' condition and may promote their recovery. Adaptogens as anti-inflammatory agents: As has been discovered, adaptogens display anti-inflammatory effects, which suggests that their application may be broader than previously thought. They regulate gene expression of anti- and proinflammatory cytokines (prostaglandins, leukotriens) and can modulate signaling pathways (e.g., NF-κB). Aim: This mini-review aims to present the anti-neuroinflammatory potential of the most important plants classified as adaptogens: Schisandra chinensis, Eleutherococcus senticosus, Rhodiola rosea and Withania somnifera.

Novel positioning of L. (Black seed) from farm to pharma indexed in pharmacopeia

The current study examines the regulatory status and inclusion of in pharmacopeias across diverse regions. The regulatory landscape varies globally, with some countries recognizing it as a traditional medicine in pharmacopeias, while others impose restrictions due to safety and efficacy concerns. The lack of standardized guidelines complicates its status, ranging from dietary supplement to traditional herbal medicine in different regions. A pivotal shift is observed in the Egyptian Herbal Monograph Volume 3, marking Black Seed's evolution from traditional medicinal use to a recognized pharmaceutical preparation in the pharmacopeia. This transition signifies a move towards evidence-based medicine, emphasizing rigorous scientific scrutiny and standardization. The integration of Black Seed underscores growing recognition of its efficacy and safety, transforming it into a pharmaceutical product and consolidating its position in mainstream healthcare. The inclusion not only enhances patient accessibility but also instills confidence among healthcare practitioners, solidifying Black Seed as a trusted therapeutic agent. The debate around N. sativa's inclusion continues, with traditional medicine systems endorsing its value, while modern pharmacopeias grapple with standardization and quality control. N. sativa emerges as a promising natural resource, necessitating comprehensive documentation for its prospective inclusion in evidence-based healthcare practices and official guidelines.

Integrated study reveals mechanism of Tripterygium Wilfordii against cholangiocarcinoma based on bioinformatics approaches and molecular dynamics simulation

BackgroundTripterygium wilfordii Hook. f. (TW) shows anticancer activity, and no study has comprehensively investigated the effects of TW in treating cholangiocarcinoma (CHOL). This study was designed to identify the therapeutic role and the mechanism of TW against CHOL to obtain anti-CHOL candidate components and targets. MethodsIngredients of TW were collected from the Traditional Chinese Medicine System Pharmacology Database and literature. Limma package and weighted gene co-expression network analysis were used to identify the genes related to CHOL. Enrichment analysis of Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) was performed by R package Cluster-Profiler and Metascape, respectively. Protein-Protein Interaction (PPI) network was used to select core genes in the treatment of CHOL by TW, followed by GEPIA2, UALCAN database, and ROC curves to assess their diagnostic and prognostic capability. Molecular docking and molecular dynamics simulation were applied to explore the binding affinity and stability of the complex between the bioactive ingredients in TW and core targets. ResultsA total of 67 ingredients in TW were collected, and 495 genes were obtained as genes of CHOL. 55 common TW-CHOL targets were identified. 171 biological process terms and 100 KEGG pathways were enriched. 12 genes were regarded as core genes through PPI analysis, such as CYP3A4, CES1, GC, and PLG, whose good diagnostic and prognostic capability were identified. Ten ingredients were selected through the construction of Herb-Components-Targets-Disease network. Molecular docking and molecular dynamics simulation both confirmed the good binding affinity and stability of the ligand-protein complexes. ConclusionThis study identified the therapeutic role and predicted the mechanism of TW against CHOL, where TW may combat CHOL through the regulation of metabolic conditions of the body, bile acid secretion, xenobiotics metabolism, and the inflammatory response. Celastrol, triptonide, triptolide and wilforlide A emerged as promising anti-CHOL candidates. So, this study offered a reference for the treatment of CHOL and the development of anti-CHOL drugs.

Validating core therapeutic targets for osteoporosis treatment based on integrating network pharmacology and informatics

ObjectiveOur goal was to find metabolism-related lncRNAs that were associated with osteoporosis (OP) and construct a model for predicting OP progression using these lncRNAs. MethodsThe GEO database was employed to obtain gene expression profiles. The WGCNA technique and differential expression analysis were used to identify hypoxia-related lncRNAs. A Lasso regression model was applied to select 25 hypoxia-related genes, from which a classification model was created. Its robust classification performance was confirmed with an area under the ROC curve close to 1, as verified on the validation set. Concurrently, we constructed a ceRNA network based on these genes to unveil potential regulatory processes. Biologically active compounds of STZYD were identified using the Traditional Chinese Medicine System Pharmacology Database and Analysis Platform (TCMSP) database. BATMAN was used to identify its targets, and we obtained OP-related genes from Malacards and DisGeNET, followed by identifying intersection genes with metabolism-related genes. A pharmacological network was then constructed based on the intersecting genes. The pharmacological network was further integrated with the ceRNA network, resulting in the creation of a comprehensive network that encompasses herb-active components, pathways, lncRNAs, miRNAs, and targets. Expression levels of hypoxia-related lncRNAs in mononuclear cells isolated from peripheral blood of OP and normal patients were subsequently validated using quantitative real-time PCR (qRT-PCR). Protein levels of RUNX2 were determined through a western blot assay. ResultsCBFB, GLO1, NFKB2 and PIK3CA were identified as central therapeutic targets, and ADD3-AS1, DTX2P1-UPK3BP1-PMS2P11, TTTY1B, ZNNT1 and LINC00623 were identified as core lncRNAs. ConclusionsOur work uncovers a possible therapeutic mechanism for STZYD, providing a potential therapeutic target for OP. In addition, a prediction model of metabolism-related lncRNAs of OP progression was constructed to provide a reference for the diagnosis of OP patients.

Mapping of soil suitability for medicinal plants using machine learning methods

Inadequate conservation of medicinal plants can affect their productivity. Traditional assessments and strategies are often time-consuming and linked with errors. Utilizing herbs has been an integral part of the traditional system of medicine for centuries. However, its sustainability and conservation are critical due to climate change, over-harvesting and habitat loss. The study reveals how machine learning algorithms, geographic information systems (GIS) being a powerful tool for mapping and spatial analysis, and soil information can contribute to a swift decision-making approach for actual forethought and intensify the productivity of vulnerable curative plants of specific regions to promote drug discovery. The data analysis based on machine learning and data mining techniques over the soil, medicinal plants and GIS information can predict quick and effective results on a map to nurture the growth of the herbs. The work incorporates the construction of a novel dataset by using the quantum geographic information system tool and recommends the vulnerable herbs by implementing different supervised algorithms such as extra tree classifier (EXTC), random forest, bagging classifier, extreme gradient boosting and k nearest neighbor. Two unique approaches suggested for the user by using EXTC, firstly, for a given subregion type, its suitable soil classes and secondly, for soil type from the user, its respective subregion labels are revealed, finally, potential medicinal herbs and their conservation status are visualised using the choropleth map for classified soil/subregion. The research concludes on EXTC as it showcases outstanding performance for both soil and subregion classifications compared to other models, with an accuracy rate of 99.01% and 98.76%, respectively. The approach focuses on serving as a comprehensive and swift reference for the general public, bioscience researchers, and conservationists interested in conserving medicinal herbs based on soil availability or specific regions through maps.

Exploring the Significance, Extraction, and Characterization of Plant-Derived Secondary Metabolites in Complex Mixtures.

Secondary metabolites are essential components for the survival of plants. Secondary metabolites in complex mixtures from plants have been adopted and documented by different traditional medicinal systems worldwide for the treatment of various human diseases. The extraction strategies are the key components for therapeutic development from natural sources. Polarity-dependent solvent-selective extraction, acidic and basic solution-based extraction, and microwave- and ultrasound-assisted extraction are some of the most important strategies for the extraction of natural products from plants. The method needs to be optimized to isolate a specific class of compounds. Therefore, to establish the mechanism of action, the characterization of the secondary metabolites, in a mixture or in their pure forms, is equally important. LC-MS, GC-MS, and extensive NMR spectroscopic strategies are established techniques for the profiling of metabolites in crude extracts. Various protocols for the extraction and characterization of a wide range of classes of compounds have been developed by various research groups and are described in this review. Additionally, the possible means of characterizing the compounds in the mixture and their uniqueness are also discussed. Hyphenated techniques are crucial for profiling because of their ability to analyze a vast range of compounds. In contrast, inherent chemical shifts make NMR an indispensable tool for structure elucidation in complex mixtures.

Molecular Targets and Mechanisms of Poria cocos-Licorice Drug Pair for the Treatment of Henoch–Schönlein Purpura Nephritis Based on Network Pharmacology

Background: The herbal Poria cocos-Liquorice drug pair (PLDP) possesses the ability to be a diuretic, stimulating the spleen and benefiting the kidney, which plays an important role in the treatment of Henoch–Schönlein purpura nephritis (HSPN). However, the mechanism of action is unknown. Objectives: Through the method of network pharmacology, this research sought to determine the mechanism of PLDP against HSPN. Materials and Methods: The screening of active ingredients in PLDP was conducted by Traditional Chinese Medicine Systems Pharmacology (TCMSP) databases, while their targets were obtained from the TCMSP and Swiss Target Prediction (STP) databases. The genes of HSPN were searched by OMIM, DisGeNET, and GeneCards databases. Then, the common targets of active ingredients in PLDP and HSPN were mapped by Venn analysis. To get the main targets, the researchers utilized the STRING database to construct the protein–protein interaction (PPI) network of the common targets. Then, the function of gene ontology (GO) and the enrichment of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway of the main targets were examined on the Metascape database to identify the molecular mechanism of PLDP against HSPN. The most relevant signaling pathways with HSPN screened from the top 20 pathways were defined as the key pathways. Finally, the “active ingredient-main target-key pathway” network was built in order to identify the core targets and key active ingredients of PLDP against HSPN. Results: There were 101 active ingredients and 360 targets for PLDP. One hundred and fifty-seven genes for HSPN and 35 common targets between PLDP and HSPN were identified. Through the “active ingredient-main target-key pathway” network, quercetin, kaempferol, polyporenic acid C, dehydrotumulosic acid, poricoic acid A, and naringenin were identified as key active ingredients; TNF, NOS3, RELA, AKT1, ICAM1, and IFNG were identified as core targets; and the key pathways include TNF signaling pathways, HIF-1 signaling pathways, and IL-17 signaling pathways. Conclusion: The research initially investigated the pathways, active ingredients, and targets involved in PLDP against HSPN. The mechanism appears to be linked to its immunomodulatory and anti-inflammatory properties, thus establishing a scientific foundation for further investigation.

Evaluation of iso-quinoline alkaloids by RP-HPLC-PDA in different Berberis species collected from Western Himalayan Region

The genus Berberis has high significance in Indian and other traditional systems of medicine due to the presence of iso-quinoline alkaloids. This study was conducted to record the metabolic variation in eight Berberis spp. collected from the Western Himalayan region. The RP-HPLC-PDA chromatogram separates the markers jatrorrhizine, palmatine and berberine at specific retention time, 11.45, 16.41 and 18.15 min respectively. The method was validated on linearity, precision and recovery indices as per International Conference on Harmonisation (ICH) guidelines. The maximum content of berberine, palmatine and jatrorrhizine was found in Berberis asiatica (1.74% ± 0.032, 1.63% ± 0.028 and 0.264% ± 0.012, respectively) on % dry weight basis. This study will help in phyto-marker-based identification and differentiation of various Berberis species, which can be used as an alternative to the official drug Daruharidra i.e. Berberis aristata.

Comparative Antibacterial Activity of Bharangyadi Yoga Variants w.s.r. to Salmonella Typhi

Salmonella typhi, the causative organism of typhoid fever, remains a major global public health concern. Despite the availability of conventional antibiotics, the emergence of antibiotic-resistant strains of Salmonella typhi poses a serious challenge in combating this infectious pathogen. As a result, the exploration of alternative therapeutic options, such as traditional herbal remedies, has gained prominence. Bharangyadi Yoga is a combination of specific herbal ingredients, used in traditional medicine system to address various types of fever and related ailments as mentioned in Sahasrayogam, has to be prepared and administered in the form of Kashaya. In vitro antibacterial activity of Bharangyadi Kashaya and Bharangyadi Arka was carried out by well diffusion method with different concentrations against Salmonella typhi and the area of inhibition of microbial growth is measured. Moderate zone of inhibition was observed in Arka, while no zone of inhibition was seen in any of the concentration of Kashaya. The antibacterial effectiveness of Bharangyadi Arka can be attributed to its volatile and other aqueous extract content, enhanced solubility and release of volatile active constituents. In this study, Arka is established to have better antibacterial activity compare to Kashaya as a new dosage form. However, Negative antibacterial result of Kashaya does not indicate lack of therapeutic effectiveness.

A network pharmacology method explores the molecular mechanism of Coptis chinensis for the treatment of Alzheimer's disease.

To predict the molecular mechanisms of action of Coptis chinensis in the treatment of Alzheimer's disease using network pharmacology. The active ingredients and targets of Coptis chinensis were obtained from the Traditional Chinese Medicine System Pharmacology Database. Target information for Alzheimer's disease was screened using the GeneCard and OMIM databases. The Venn diagram tool was used to identify the intersecting targets of Coptis chinensis and Alzheimer's disease. The obtained target information was entered into the STRING database to construct a protein-protein interaction network. The R language was used to perform Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses of significant targets. Auto Dock Vina software was used for molecular docking. Fourteen effective active ingredients and 158 key targets associated with Coptis chinensis were identified. There were 1113 targets related to Alzheimer's disease genes. A drug-component-disease-target network was constructed and 84 key targets were identified for the treatment of Alzheimer's disease by Coptis chinensis. The main signaling pathways were the PI3K-Akt, AGE-RAGE, MAPK, HIF-1, TNF, and relaxin signaling pathways. The molecular docking results showed that berberine has a high affinity for Alzheimer's Disease. Coptis chinensis could play a multi-target and multi-pathway role against Alzheimer's disease, which has guiding significance for clinical research.

Regulation of Gut Microbiota by Herbal Medicines.

Preserving host health and homeostasis is largely dependent on the human gut microbiome, a varied and ever-changing population of bacteria living in the gastrointestinal tract. This article aims to explore the multifaceted functions of the gut microbiome and shed light on the evolving field of research investigating the impact of herbal medicines on both the composition and functionality of the gut microbiome. Through a comprehensive overview, we aim to provide insights into the intricate relationship between herbal remedies and the gut microbiome, fostering a better understanding of their potential implications for human health.The gut microbiota is composed of trillions of microorganisms, predominantly bacteria, but also viruses, fungi, and archaea. It functions as a complex ecosystem that interacts with the host in various ways. It aids in nutrient metabolism, modulates the immune system, provides protection against pathogens, and influences host physiology. Moreover, it has been linked to a range of health outcomes, including digestion, metabolic health, and even mental well-being. Recent research has shed light on the potential of herbal medicines to modulate the gut microbiome. Herbal medicines, derived from plants and often used in traditional medicine systems, contain a diverse array of phytochemicals, which can directly or indirectly impact gut microbial composition. These phytochemicals can either act as prebiotics, promoting the growth of beneficial bacteria, or possess antimicrobial properties, targeting harmful pathogens. Several studies have demonstrated the effects of specific herbal medicines on the gut microbiome. For example, extracts from herbs have been shown to enhance the abundance of beneficial bacteria, such as Bifidobacterium and Lactobacillus, while reducing potentially harmful microbes. Moreover, herbal medicines have exhibited promising antimicrobial effects against certain pathogenic bacteria. The modulation of the gut microbiome by herbal medicines has potential therapeutic implications. Research suggests herbal interventions could be harnessed to alleviate gastrointestinal disorders, support immune function, and even impact metabolic health. However, it is important to note that individual responses to herbal treatments can vary due to genetics, diet, and baseline microbiome composition. In conclusion, the gut microbiome is a critical player in maintaining human health, and its modulation by herbal medicines is a burgeoning area of research. Understanding the complex interactions between herbal compounds and gut microbiota will pave the way for innovative approaches to personalized healthcare and the development of herbal-based therapeutics aimed at promoting gut health and overall well-being.

Mechanism of Guizhi Gancao Decoction against myocardial ischemia-reperfusion injury based on network pharmacology and experimental verification

This study employed network pharmacology to investigate the effect of Guizhi Gancao Decoction(GGD) on myocardial ischemia-reperfusion injury(MI/RI) in rats and decipher the underlying mechanism. Firstly, the chemical components and targets of GGD against MI/RI were searched against the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP), SwissTargetPrediction, and available articles. STRING and Cytoscape 3.7.2 were used to establish the protein-protein interaction(PPI) network for the common targets, and then Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses were carried out for the core targets. The "drug-active component-target-pathway" network was built. Furthermore, molecular docking between key active components and targets was conducted in AutoDock Vina. Finally, the rat model of MI/RI was established, and the myocardial infarction area was measured. Hematoxylin-eosin(HE) staining and transmission electron microscopy(TEM) were employed to detect cardiomyocyte pathology and ultrastructural changes. Western blot was employed to determine the expression of related proteins in the myocardial tissue. A total of 75 chemical components of GGD were screened out, corresponding to 318 targets. The PPI network revealed 46 core targets such as tumor protein p53(TP53), serine/threonine kinase 1(AKT1), signal transducer and activator of transcription 3(STAT3), non-receptor tyrosine kinase(SRC), mitogen-activated protein kinase 1(MAPK1), MAPK3, and tumor necrosis factor(TNF). According to GO and KEGG enrichment analyses, the core targets mainly affected the cell proliferation and migration, signal transduction, apoptosis, and transcription, involving advanced glycation end products-receptor(AGE-RAGE), MAPK and other signaling pathways in cancers and diabetes complications. The molecular docking results showed that the core components of GGD, such as licochalcone A,(+)-catechin, and cinnamaldehyde, had strong binding activities with the core target proteins, such as MAPK1 and MAPK3. The results of animal experiments showed that compared with the model group, GGD significantly increase superoxide dismutase, decreased malondialdehyde, lactate dehydrogenase, and creatine kinase-MB, and reduced the area of myocardial infarction. HE staining and TEM results showed that GGD pretreatment restored the structure of cardiomyocytes and alleviated the pathological changes and ultrastructural damage of mitochondria in the model group. In addition, GGD significantly down-regulated the phosphorylation of c-Jun N-terminal kinase and p38 and up-regulate that of extracellular regulated kinases 1/2 in the myocardial tissue. The results suggested that GGD may exert the anti-MI/RI effect by regulating the MAPK signaling pathway via the synergistic effects of Cinnamomi Ramulus and Glycyrrhizae Radix et Rhizoma.

Efficacy of Danlou tablet on myocardial ischemia/ reperfusion injury assessed by network pharmacology and experimental verification.

To investigate the potential pharmacological mechanism of Danlou tablet (, DLT) with a long-term clinical application in the treatment of myocardial ischemia/reperfusion (I/R) injury through network pharmacology, molecular docking and experimental verification. The main chemical ingredients in DLT were retrieved from the Traditional Chinese Medicine (TCM) System Pharmacology Database, the TCM information database, the bioinformatics analysis tool for molecular mechanism of TCM, and HERB database. Disease targets of I/R were accessed from the databases of Online Mendelian Inheritance in Man, GeneCards, Therapeutic Target Database, and DisGeNET database. The overlaying genes of DLT and I/R were obtained from the Venny online platform. The core targets and protein-protein interaction network were constructed and analyzed via the Search Tool for the Retrieval of Interacting Genes Proteins database and Cytoscape software. Furthermore, Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed by the Metascape platform. Based on the results, the component-target-pathway network was constructed and drafted via the Cytoscape software and the platform of Bioinformatics. Furthermore, we performed molecular docking to predict the binding information between chemical molecules and target proteins. Finally, oxygen-glucose deprivation/recovery (OGD/R)-induced H9c2 cardiomyocytes were used to validate the results of network pharmacology in vitro. A total of 189 active chemical components in DLT and 849 correlative targets of I/R were screened. Of note, 133 overlaying genes found from the Venny online platform were concentrated into 28 core genes. Furthermore, the GO and KEGG pathway enrichment analysis presented that DLT might participate in 42 types of GO molecular functions, 747 types of GO biological processes, 19 types of GO cellular components, and 140 kinds of pathways to treat I/R. In the component-target-pathway network, the indirect relationship between herbs and their possible effective pathways was clarified. Based on the molecular docking, we speculated that Baicalein-prostaglandin G/H synthase 2 (PTGS2) with -3.24 kcal/mol, Luteolin-heat shock protein 90 alpha family class A member 1 (HSP90AA1) with -3.22 kcal/mol, Baicalein-HSP90AA1 with -3.13 kcal/mol, and Quercetin-HSP90AA1 with -3.05 kcal/mol possessed the strongest binding force of less than -3 kcal/mol, sequentially. Experimental verification showed that Quercetin, Luteolin, and Baicalein could increase the relative cell viability of OGD/R-stimulated cardiomyocytes, probably by suppressing PTGS2, and activating HSP90AA1 and estrogen receptor 1 expression. We predicted the potential active compounds as the material basis of DLT that may provide a new approach to elucidate the novel pharmacological mechanism underlying the treatment of cardiac I/R damage.

Efficacy of Ganshuang granules on non-alcoholic fatty liver and underlying mechanism: a network pharmacology and experimental verification.

To investigate the potential pharmacological mechanisms of Ganshuang granules (, GSG) in treating non-alcoholic fatty liver (NAFLD). All the active components and targets of GSG were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform. Protein-Protein interaction network, Kyoto Encyclopedia of Genes and Genomes and Gene Ontology function annotation of common targets were analyzed to predict the mechanisms of action of GSG in the treatment of NAFLD. Then, the mouse models of NAFLD were constructed in a diet-induced manner and treated with GSG. The levels of interleukin 6 (IL-6), tumor necrosis factor-alpha (TNF-α) and phosphatidylinositol 3-kinase/protein kinase B (PI3K/AKT) pathway-related proteins in the liver of mice in each group were measured by enzyme linked immunosorbent assay and Western blot, respectively. Network pharmacology revealed a total of 159 potential targets of GSG for the treatment of NAFLD. Functional enrichment analysis indicated that the PI3K/AKT signaling pathway may be involved during GSG treatment of NAFLD. Further experiments showed that the significantly decreased alanine aminotransferase, aspartate aminotransferase, alkaline phosphatase, total cholesterol, triglyceride and low-density lipoprotein cholesterol levels in NAFLD model mice serum after GSG treatment, as well as the expression levels of IL-6 and TNF-α in the liver. Furthermore, drug intervention increased the protein expression levels of phosphorylated-PI3K (P-PI3K) and P-AKT in the liver of the model group mice, and decreased the protein expression level of sterol regulatory element-binding protein 1. We found that GSG is effective in treating NAFLD and the potential therapeutic targets may be involved in PI3K/AKT signaling pathway.

A Strategy based on Bioinformatics and Machine Learning Algorithms Reveals Potential Mechanisms of Shelian Capsule against Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is a prevalent and life-threatening form of cancer, with Shelian Capsule (SLC), a traditional Chinese medicine (TCM) formulation, being recommended for clinical treatment. However, the mechanisms underlying its efficacy remain elusive. This study sought to uncover the potential mechanisms of SLC in HCC treatment using bioinformatics methods. Bioactive components of SLC were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), and HCC-related microarray chip data were sourced from the Gene Expression Omnibus (GEO) database. The selection criteria for components included OB ≧ 30% and DL ≧ 0.18. By integrating the results of differential expression analysis and weighted gene co-expression network analysis (WGCNA), disease-related genes were identified. Therapeutic targets were determined as shared items between candidate targets and disease genes. Protein-protein interaction (PPI) network analysis was conducted for concatenated genes, with core protein clusters identified using the MCODE plugin. Machine learning algorithms were applied to identify signature genes within therapeutic targets. Subsequently, immune cell infiltration analysis, single-cell RNA sequencing (sc-RNA seq) analysis, molecular docking, and ADME analysis were performed for the screened genes. A total of 153 SLC ingredients and 170 candidate targets were identified, along with 494 HCCrelated disease genes. Overlapping items between disease genes and drug candidates represented therapeutic genes, and PPI network analysis was conducted using concatenated genes. MCODE1 and MCODE2 cluster genes underwent Disease Ontology (DO), Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Four signature genes (TOP2A, CYP1A2, CYP2B6, and IGFBP3) were identified from 28 therapeutic genes using 3 machine learning algorithms, with ROC curves plotted. Molecular docking validated the interaction modes and binding abilities between signature genes and corresponding compounds, with free binding energy all <-7 kcal/mol. Finally, ADME analysis revealed similarities between certain SLC components and the clinical drugs Sorafenib and Lenvatinib. In summary, our study revealed that the mechanism underlying the anti-HCC effects of SLC involves interactions at three levels: components (quercetin, beta-sitosterol, kaempferol, baicalein, stigmasterol, and luteolin), pathways (PI3K-Akt signaling pathway, TNF signaling pathway, and IL-17 signaling pathway), and targets (TOP2A, CYP1A2, CYP2B6, and IGFBP3). This study provides preliminary insights into the potential pharmacological mechanisms of SLC in HCC treatment, aiming to support its clinical application and serve as a reference for future laboratory investigations.

Systematic Pharmacology and Experimental Validation to Reveal the Alleviation of Astragalus membranaceus Regulating Ferroptosis in Osteoarthritis.

Astragalus membranaceus (AM) shows promise as a therapeutic agent for osteoarthritis (OA), a debilitating condition with high disability rates. OA exacerbation is linked to chondrocyte ferroptosis, yet the precise pharmacological mechanisms of AM remain unclear. We validated AM's protective efficacy in an anterior cruciate ligament transection (ACLT) mouse model of OA. The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) database was utilized to identify AM's active components and their targets. FerrDb (a database for regulators and markers of ferroptosis and ferroptosis-disease associations) pinpointed ferroptosis-related targets, while GeneCards, Online Mendelian Inheritance in Man (OMIM), Pharmacogenomics Knowledgebase (PharmGKB), Therapeutic Target Database (TTD), and DrugBank sourced OA-related genes. Molecular docking analysis further validated these targets. Ultimately, the validation of the results was accomplished through in vitro experiments. AM exhibited anabolic effects and suppressed catabolism in OA chondrocytes. Network pharmacology identified 19 common genes, and molecular docking suggested quercetin, an AM constituent, interacts with key proteins like HO-1 and NRF2 to inhibit chondrocyte ferroptosis. In vitro experiments confirmed AM's ability to modulate the NRF2/HO-1 pathway via quercetin, mitigating chondrocyte ferroptosis. This study elucidates how AM regulates chondrocyte ferroptosis, impacting OA progression, providing a theoretical basis and experimental support for AM's scientific application.

Uncovering the Mechanism of Chinese Hawthorn Leaf on Myocardial Ischemia Based on Network Pharmacology, Molecular Docking Verification, and In Vitro Studies.

Hawthorn leaf has shown therapeutic effects in the patients with myocardial ischemia. Our study combines network pharmacology, molecular docking techniques, and in vitro experimentwith the aim of revealing the mechanism of hawthorn leaves in the treatment of myocardial ischemia. The active ingredients and corresponding targets of hawthorn leaf through Traditional Chinese Medicine System Pharmacology and Swiss Target Prediction databases. Targets related to myocardial ischemia were retrieved by Gene Card, Online Mendelian Inheritance in Man, Disgenet, and Therapeutic Targets Database databases. Cytoscape software was used to construct an ingredient-target-organ network and enrichment analysis of common targets was analyzed. Molecular docking verification of the core compound and target interactions was performed using MOE software. In vitro cell experiment was performed to verify the findings from bioinformatics analysis. Six active components and 107 potential therapeutic targets were screened. The protein-protein interaction network analysis indicated that 10 targets, including AKT1 and EGFR, were hub genes. Quercetin, kaempferol and isorhamnetin were taken as core active components. Through pathway enrichment analysis, nearly 455 Gene Ontology entries and 77 Kyoto Encyclopedia of Genes and Genomes pathways were obtained, mainly including PI3K/Akt, estrogen and other signaling pathways. Molecular docking prediction showed that three main active ingredients were firmly combined with the core targets. Cellular experiments showed that quercetin alleviated oxidative damage in cells and regulated the expression of PI3K, P-AKT/AKT and Bax/Bcl-2 proteins. This study identified the potential targets of Hawthorn leaf against myocardial ischemia using network pharmacology and in vitro verification, which provided a new understanding of the pharmacological mechanisms of Hawthorn leaf in treatment of myocardial ischemia.

Efficacy of Tounongsan decoction on pyogenic liver abscess: network pharmacology and clinical trial validation.

To elucidate the molecular mechanisms governing the effect of Tounongsan decoction (, TNS) on the pyogenic liver abscess. Based on oral bioavailability and drug-likeness, the main active components of TNS were screened using the Traditional Chinese Medicine Systems Pharmacology platform. The GeneCard and UniProt databases were used to establish a database of pyogenic liver abscess targets. The interactive network map of drug-ingredients-target-disease was constructed using Cytoscape software (Version 3.7.2). A protein-protein interaction network was constructed using the STRING database, and the related protein interaction relationships were analyzed. biological process of gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed for the core targets. Finally, a clinical trial was performed to verify the reliability of the network pharmacology. Forty active components of TNS decoction were obtained, and 61 potential targets and 11 proteins were identified. Pathways involved in the treatment of pyogenic liver abscess include the phosphatidylinositide 3-kinases-protein kinase B (PI3K-AKT), advanced glycation end products-receptor for advanced glycation end products (AGE-RAGE), and tumor necrosis factor (TNF) signaling pathways. The results of network pharmacology analysis combined with clinical trials validated that TNS decoction could alleviate the inflammatory response of pyogenic liver abscesses by decreasing interleukin 6 (IL-6) levels. TNS decoction has the characteristics of being multi-system, multi-component, and multi-target. Active ingredients in TNS, such as quercetin, kaempferol, fisetin, and β-sitosterol, have strong potential to be candidate drugs for treating pyogenic liver abscesses. The possible mechanism of TSN decoction includes regulating immune and inflammatory responses and reducing IL-6 production to control inflammatory development.

Role of Bioactive Compounds, Novel Drug Delivery Systems, and Polyherbal Formulations in the Management of Rheumatoid Arthritis.

Rheumatoid Arthritis (RA) is an autoimmune disorder that generally causes joint synovial inflammation as well as gradual cartilage and degenerative changes, resulting in progressive immobility. Cartilage destruction induces synovial inflammation, including synovial cell hyperplasia, increased synovial fluid, and synovial pane development. This phenomenon causes articular cartilage damage and joint alkalosis. Traditional medicinal system exerts their effect through several cellular mechanisms, including inhibition of inflammatory mediators, oxidative stress suppression, cartilage degradation inhibition, increasing antioxidants and decreasing rheumatic biomarkers. The medicinal plants have yielded a variety of active constituents from various chemical categories, including alkaloids, triterpenoids, steroids, glycosides, volatile oils, flavonoids, lignans, coumarins, terpenes, sesquiterpene lactones, anthocyanins, and anthraquinones. This review sheds light on the utilization of medicinal plants in the treatment of RA. It explains various phytoconstituents present in medicinal plants and their mechanism of action against RA. It also briefs about the uses of polyherbal formulations (PHF), which are currently in the market and the toxicity associated with the use of medicinal plants and PHF, along with the limitations and research gaps in the field of PHF. This review paper is an attempt to understand various mechanistic approaches employed by several medicinal plants, their possible drug delivery systems and synergistic effects for curing RA with minimum side effects.

Pharmacological Review of Celosia Argentea

Medicinal plants are used in all traditional system of medicine from thousands of year to treat and to prevent disease. The active metabolites possess the efficiency to treat the disorders. Based on therapeutic effect we select the plant Celosia argentea. Plant Celosia argentea belong to family-Amaranthaceae is used in various medicinal products. Various part extract are used for formulation of medicine. We mentioned the various therapeutic effects shown by drug Celosia argentea. It contain active chemical constituent are mainly phenols, flavonoids, steroids, tannins, carbohydrates, lipids, amino acids, peptides, phenolic acids, cardiac glycosides, , phytosterols, , amino acids, carbohydrates