Traditional System Of Medicine Research Articles

Investigating the molecular mechanism of Mori Cortex against osteosarcoma by bioinformatics analysis and in vitro experimental.

To explore the therapeutic mechanism of Mori Cortex against osteosarcoma (OS), we conducted bioinformatics prediction followed by in vitro experimental validation. Gene expression data from normal and OS tissues were obtained from the GEO database and underwent differential analysis. Active Mori Cortex components and target genes were extracted from the Traditional Chinese Medicine System Pharmacology database. By intersecting these targets with differentially expressed genes in OS, we identified potential drug action targets. Using the STRING database, a protein-protein interaction network was constructed. Subsequent analyses of these intersected genes, including Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway enrichment, were performed using R software to elucidate biological processes, molecular functions, and cellular components, resulting in the simulation of signaling pathways. Molecular docking assessed the binding capacity of small molecules to signaling pathway targets. In vitro validations were conducted on U-2 OS cells. The CCK8 assay was used to determine drug-induced cytotoxicity in OS cells, and Western Blotting was employed to validate the expression of AKT, extracellular signal-regulated kinases (ERK), Survivin, and Cyclin D1 proteins. Through differential gene expression analysis between normal and OS tissues, we identified 12,364 differentially expressed genes. From the TCSMP database, 39 active components and 185 therapeutic targets related to OS were derived. The protein-protein interaction network indicated that AKT1, IL-6, JUN, VEGFA, and CASP3 might be central targets of Mori Cortex for OS. Molecular docking revealed that the active compound Morusin in Mori Cortex exhibits strong binding affinity to AKT and ERK. The CCK8 assay showed that Morusin significantly inhibits the viability of U-2 OS cells. Western Blot demonstrated a reduction in the p-AKT/AKT ratio, the p-ERK/ERK ratio, Survivin, and Cyclin D1. Mori Cortex may exert its therapeutic effects on OS through multiple cellular signaling pathways. Morusin, the active component of Mori Cortex, can inhibit cell cycle regulation and promote cell death in OS cells by targeting AKT/ERK pathway.

Exploring the Mechanisms of Yuanhu Zhitong Oral Liquid for Primary Dysmenorrhea through Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulation

Objective: Primary dysmenorrhea (PD) is a prevalent gynecological disorder. Yuanhu Zhitong oral liquid (YHZT) presents a promising alternative treatment for PD. However, the mechanisms underlying its efficacy remain unclear. This study aims to investigate the potential targets and mechanisms of action of YHZT in treating PD using network pharmacology, molecular docking, and molecular dynamics simulations. Methods: Potential compounds from YHZT were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and the Traditional Chinese Medicine Information Database (TCMID). The relevant targets of these compounds were identified using the similarity ensemble approach (SEA) and the Swiss Target Prediction database. PD-related targets were retrieved from the Genecards, DrugBank, and Disgenet databases. ClusterProfiler was utilized for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. The compound-target-pathway (CTP) network was constructed to facilitate the identification of key compounds, core targets, and signaling pathways. Finally, molecular docking and molecular dynamics simulations were performed to evaluate the interactions between the targets and compounds. Results: A total of 153 putative compounds and 129 targets of YHZT were identified. Network topology analysis revealed eight core targets and six key compounds. The effects of YHZT were mediated by genes associated with hormone and steroid metabolism, as well as pathways involved in steroid hormone biosynthesis and cytochrome P450 enzymes. Docking results showed free-binding energies ranging from -6.06 to -10.85 kcal/mol, indicating strong binding affinity between the compounds and targets. Molecular dynamics simulation results further confirmed the stability of these interactions. Conclusion: This study demonstrates that YHZT treats PD by suppressing inflammatory reactions and modulating hormone and cytochrome P450 concentrations. Key compounds such as ferulic acid, (R)-canadine, (S)-canadine, canadine, and asristolone are implicated in this process. These findings offer insights into the mechanisms underlying the action of YHZT and provide a foundation for further research in this area.

Mechanistic exploration and experimental validation of the Xiaochaihu decoction for the treatment of breast cancer by network pharmacology.

Xiaochaihu (XCH) decoction is a traditional Chinese prescription that has been recorded in the pharmacopeia of the People's Republic of China. In China, the XCH decoction is used clinically to treat a variety of tumors, including breast cancer. However, its potential mechanism of action is still undefined. The chemical compounds in the XCH decoction were identified via Q Exactive Orbitrap LC-MS/MS. Then, we screened the active ingredients and targets in the XCH decoction from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Next, Cytoscape and Metascape were used to construct an active ingredient-target-disease network, which included a protein-protein interaction (PPI) network, GO enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Finally, we used molecular docking and in vitro experiments to verify the results of network pharmacology analysis. More than 70 major compounds were identified by Q Exactive Orbitrap LC-MS/MS analysis from the XCH decoction. A total of 162 active ingredients and 153 targets related to the XCH decoction and breast cancer were identified, and a compound-target-disease network was constructed. GO and KEGG analyses revealed that the XCH decoction regulated the drug response, apoptosis process, cancer pathway, and PI3K/Akt signaling pathway. Molecular docking and experimental validation indicated that the XCH decoction suppressed proliferation and induced apoptosis in breast cancer cells by regulating the expression of apoptosis-related proteins and inhibiting the PI3K/Akt pathway. This study suggested that the XCH decoction can be used to treat breast cancer by inhibiting cell proliferation, inducing apoptosis and downregulating the PI3K/Akt signaling pathway.

Uncovering the molecular mechanism of Mume Fructus in treatment of Sjögren's syndrome.

Modern medicine has no cure for the xerostomia caused by the early onset of Sjögren's syndrome. Mume Fructus is a common Chinese herbal medicine used to relieve xerostomia. However, the molecular mechanisms of the effects of Mume Fructus are unknown. In this study, network pharmacology and molecular docking were used to investigate the mechanisms of action of Mume Fructus on Sjögren's syndrome. The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform database was used to identify the active components and targets of Mume Fructus, and the UniProt database was used to identify the genes encoding these targets. SS-related targets were also identified from the GeneCards and OMIM databases. By finding the intersection of the targets of the compounds and the targets of Sjögren's syndrome, the predicted targets of Mume Fructus in the treatment of Sjögren's syndrome were obtained. Further investigation of the active compounds and their targets was carried out by constructing a network of "medicine-candidate compound-target-disease" using Cytoscape 3.7.2, the Protein-Protein Interaction network using the STRING database and Cytoscape 3.7.2, and key targets were identified by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis on R software. Finally, molecular docking was used to verify the affinity of the candidate compounds to the key targets. Quercetin, beta-sitosterol, and kaempferol in Mume Fructus interact with AKT1, IL-6, IL-1B, JUN, CASP3, and MAPK8. These results suggest that Mume Fructus exerts its therapeutic effects on the peripheral gland injury of Sjögren's syndrome and its secondary cardiovascular disease and tumorigenesis through anti-inflammatory, anti-oxidant, and anti-tumor pathways. With network pharmacology, this study systematically identified the main active components, targets, and specific mechanisms of the therapeutic effects of Mume Fructus on Sjögren's syndrome, providing both a theoretical basis and research direction for further investigations on Mume Fructus.

Exploring the mechanism of agarwood moxa smoke in treating sleep disorders based on GC–MS and network pharmacology

BackgroundAgarwood moxibustion is a folk therapy developed by individuals of the Li nationality in China. There is evidence that agarwood moxa smoke (AMS) generated during agarwood moxibustion therapy can treat sleep disorders via traditional Chinese medicines’ multiple target and pathway characteristics. However, the specific components and mechanisms involved have yet to be explored.ObjectiveGC–MS (Gas Chromatography–Mass Spectrometry) and network pharmacology were used to investigate AMS’s molecular basis and mechanism in treating sleep deprivation.MethodGC–MS was used to determine the chemical composition of AMS; component target information was collected from TCMSP (Traditional Chinese Medicine Systems Pharmacology), PubChem (Public Chemical Database), GeneCards (Human Gene Database), and DisGeNet (Database of Genes and Diseases) were used to identify disease targets, and JVenn (Joint Venn) was used to identify the common targets of AMS and sleep disorders. STRING was used to construct a protein interaction network, Cytoscape 3.9.1 was used to build a multilevel network diagram of the “core components-efficacy targets-action pathways,” the targets were imported into Metascape and DAVID for GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) analyses and Autodock was used for molecular docking. This research used a network pharmacology methodology to investigate the therapeutic potential of Agarwood Moxa Smoke (AMS) in treating sleep problems. Examining the target genes and chemical constituents of AMS offers insights into the molecular processes and targets of the disease.ResultNine active ingredients comprising anti-inflammatory substances and antioxidants, such as caryophyllene and p-cymene, found seven sleep-regulating signaling pathways and eight targets linked to sleep disorders. GC–MS was used to identify the 94 active ingredients in AMS, and the active ingredients had strong binding with the key targets. Key findings included active components with known medicinal properties, such as p-cymene, eucalyptol, and caryophyllene. An investigation of network pharmacology revealed seven signaling pathways for sleep regulation and eight targets linked to sleep disorders, shedding light on AMS’s effectiveness in enhancing sleep quality.ConclusionAMS may alleviate sleep disorders by modulating cellular and synaptic signaling, controlling hormone and neurotransmitter pathways, etc. Understanding AMS’s material basis and mechanism of action provides a foundation for future research on treating sleep disorders with AMS. According to the study, Agarwood Moxa Smoke (AMS) may improve sleep quality by modifying cellular and synaptic signaling pathways for those who suffer from sleep problems. This might lead to the development of innovative therapies with fewer side effects.

A Single Centric, Open-Label, Non-Randomized Post- Marketing Surveillance Study to Measure the Efficacy and Safety of Petsaffa Tablets in Subjects Suffering From Constipation, Gas and Acidity

Constipation, gas, and acidity are common gastrointestinal issues with a significant global prevalence. Traditional medicine systems like Ayurveda have long utilized medicinal plants to address these concerns. However, clinical validation of their efficacy in patients with constipation has been lacking. Objectives: This study aimed to assess the efficacy and safety of Petsaffa tablets, an Ayurvedic formulation containing various herbal ingredients, in relieving constipation, gas, and acidity. Methods: The study, conducted as a single-centric, open-label, non-randomized post-marketing surveillance study, involved 120 subjects with constipation. Subjects were evaluated using inclusion and exclusion criteria and provided Petsaffa tablets for a 14-day intervention. Various parameters, including bowel movement frequency, constipation scores, and subjective assessments, were measured. Vital signs, laboratory safety parameters, and adverse events were also monitored during the study period. Results: Petsaffa tablets significantly improved bowel movement frequency, constipation scores, and subjective symptoms related to constipation. Stool consistency and other associated symptoms such as acidity and gas were also reduced at the end of the study. None of the participants reported any adverse events, and safety parameters remained within normal limits during the study period. Conclusion: Petsaffa tablets offer a promising, safe, and effective alternative option for individuals with common gastrointestinal issues such as constipation, acidity, and gas.

Exploring the mechanism of Jinlida granules against type 2 diabetes mellitus by an integrative pharmacology strategy

Jinlida granule (JLD) is a Traditional Chinese Medicine (TCM) formula used for the treatment of type 2 diabetes mellitus (T2DM). However, the mechanism of JLD treatment for T2DM is not fully revealed. In this study, we explored the mechanism of JLD against T2DM by an integrative pharmacology strategy. Active components and corresponding targets were retrieved from Traditional Chinese Medicine System Pharmacology (TCMSP), SwissADME and Bioinformatics Analysis Tool for Molecular Mechanisms of Traditional Chinese Medicine Database (BATMAN-TCM) database. T2DM-related targets were obtained from Drugbank and Genecards databases. The protein–protein interaction (PPI) network was constructed and analyzed with STRING (Search Toll for the Retrieval of Interacting Genes/proteins) and Cytoscape to get the key targets. Then, Gene Ontology (GO) and Kyoto Encyclopedia of Gene and Genomes (KEGG) enrichment analyses were performed with the Database for Annotation, Visualization and Integrated Discovery (DAVID). Lastly, the binding capacities and reliability between potential active components and the targets were verified with molecular docking and molecular dynamics simulation. In total, 185 active components and 337 targets of JLD were obtained. 317 targets overlapped with T2DM-related targets. RAC-alpha serine/threonine-protein kinase (AKT1), tumor necrosis factor (TNF), interleukin-6 (IL-6), cellular tumor antigen p53 (TP53), prostaglandin G/H synthase 2 (PTGS2), Caspase-3 (CASP3) and signal transducer and activator of transcription 3 (STAT3) were identified as seven key targets by the topological analysis of the PPI network. GO and KEGG enrichment analyses showed that the effects were primarily associated with gene expression, signal transduction, apoptosis and inflammation. The pathways were mainly enriched in PI3K-AKT signaling pathway and AGE-RAGE signaling pathway in diabetic complications. Molecular docking and molecular dynamics simulation verified the good binding affinity between the key components and targets. The predicted results may provide a theoretical basis for drug screening of JLD and a new insight for the therapeutic effect of JLD on T2DM.

An Approach to the Management of Dizziness (Murcha) and Vertigo (Bhrama) Based on Ayurvedic Classics

Ayurveda is a science of life as it defines health and factors responsible for its maintenance and promotion. It is one of the oldest traditional systems of medicine which comprises of thousands of concepts and hypothesis. The primary objective of Ayurveda includes maintenance of health and prevention of diseases. At present, dizziness and vertigo are common symptoms in the patients with the rising prevalence of about 20%. Dizziness is correlated with Murcha in Ayurveda, which is a general feeling of being unstable and fainting whereas vertigo is correlated with Bhrama which is illusion of self and environmental motion. Modern medicines nowadays have harmful impact on health due to their side effects that affect the quality of life. So this is the need of the time that a direct, safe and holistic approach should be established to treat the diseases. The fundamental principles hold a strong ground in Ayurveda. Our Ayurveda classics have mentioned a lot about signs and symptoms of various diseases with their specific herbs. Ayurveda drugs popularity and demand are increasing day by day. Ayurveda drugs are helpful in treating the dizziness (Murcha) and vertigo (Bhrama) through the principles of nature to bring back the individual into equilibrium.

Potential mechanisms of traditional Chinese medicine in treating insomnia: A network pharmacology, GEO validation, and molecular-docking study.

The purpose of this study is to investigate the potential mechanisms of Chinese herbs for the treatment of insomnia using a combination of data mining, network pharmacology, and molecular-docking validation. All the prescriptions for insomnia treated by the academician Qi Wang from 2020 to 2022 were collected. The Ancient and Modern Medical Case Cloud Platform v2.3 was used to identify high-frequency Chinese medicinal herbs and the core prescription. The Traditional Chinese Medicine Systems Pharmacology and UniProt databases were utilized to predict the effective active components and targets of the core herbs. Insomnia-related targets were collected from 4 databases. The intersecting targets were utilized to build a protein-protein interaction network and conduct gene ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis using the STRING database, Cytoscape software, and clusterProfiler package. Gene chip data (GSE208668) were obtained from the Gene Expression Omnibus database. The limma package was applied to identify differentially expressed genes (DEGs) between insomnia patients and healthy controls. To create a "transcription factor (TF)-miRNA-mRNA" network, the differentially expressed miRNAs were entered into the TransmiR, FunRich, Targetscan, and miRDB databases. Subsequently, the overlapping targets were validated using the DEGs, and further validations were conducted through molecular docking and molecular dynamics simulations. Among the 117 prescriptions, 65 herbs and a core prescription were identified. Network pharmacology and bioinformatics analysis revealed that active components such as β-sitosterol, stigmasterol, and canadine acted on hub targets, including interleukin-6, caspase-3, and hypoxia-inducible factor-1α. In GSE208668, 6417 DEGs and 7 differentially expressed miRNAs were identified. A "TF-miRNA-mRNA" network was constructed by 4 "TF-miRNA" interaction pairs and 66 "miRNA-mRNA" interaction pairs. Downstream mRNAs exert therapeutic effects on insomnia by regulating circadian rhythm. Molecular-docking analyses demonstrated good docking between core components and hub targets. Molecular dynamics simulation displayed the strong stability of the complex formed by small molecule and target. The core prescription by the academician Qi Wang for treating insomnia, which involves multiple components, targets, and pathways, showed the potential to improve sleep, providing a basis for clinical treatment of insomnia.

Network Pharmacology Combined with Animal Models to Investigate the Mechanism of ChangPu YuJin Tang in the Treatment of Tourette Syndrome.

ChangPu YuJin Tang (CPYJT) is a Chinese herbal formula that has been shown to be an effective therapeutic strategy for pediatric patients with Tourette Syndrome (TS). Using an integrated strategy of network pharmacology and animal model, the aim of this study was to investigate the mechanism of CPYJT in the treatment of TS. Compound libraries of CPYJT were established using databases, such as the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). The TCMSP database and Swiss Target Prediction database were used to predict the targets. The above results were constructed into a CPYJT-Drug-Component-Target network. Moreover, TS targets were predicted using GeneCards and other databases. The targets corresponding to the potential ingredients in CPYJT and the targets corresponding to TS were taken as the intersections to construct the CPYJT-TS network. The target network was analysed by PPI using the string database. GO and KEGG enrichment analyses were performed on the target network. The whole process was performed using Cytoscape 3.7.2 to make visual network diagrams of the results. CPYJT was characterised by Ultra-Performance Liquid Chromatography-Tandem Mass Spectrometry (UHPLC-MS). Transmission Electron Microscopy (TEM) was used to observe the structural changes of CPYJT on the neuronal cells of the IDPN model rats. RT-PCR and Western Blot were used to analyse the changes in the mRNA and protein expression levels of BDNF, TrkB, PI3K, and AKT in the cortex, striatum, and thalamus brain regions after CPYJT administration in IDPN model rats. Network pharmacology and UHPLC-MS studies revealed that CPYJT acted on the TS through multiple neurotransmitters and the BDNF/TrkB and PI3K/AKT signalling pathways. CPYJT ameliorated neurocellular structural damage in the cortex, striatum, and thalamus of TS model rats. Additionally, CPYJT up-regulated the levels of BDNF, TrkB, PI3k, and AKT in the cortex, striatum, and thalamus of TS model rats. It was found that CPYJT protected neuronal cells from structural damage in multiple brain regions and affected the expression levels of BDNF, TrkB, PI3K, and Akt in the cortex, striatum, and thalamus during TS treatment.

A Review on Khubbāzī (Malva sylvestris L.): Phytochemical, Pharmacological Properties and Therapeutic Applications

Traditional system of medicine, especially Unani, highly value Khubbāzī (Malva sylvestris L.) for its therapeutic properties. Its leaves, seeds and flowers are utilized medicinally as Barg-i-Khubbāzī, Tukhm-i-Khubbāzī and Gul-i-Khubbāzī since time immemorial. It is used in Unani Medicine for various activities like concoctive, diuretic, anti-inflammatory, hepatoprotective, hence used to treat several ailments related to respiratory, skin and digestive systems such as cough, cold, coryza, sore throat, chronic bronchitis, intestinal ulcer and urinary issues like strangury, irritation in micturition etc. Pharmacological studies on various parts of the plant have been reported such as hepatoprotective, antioxidant, anti-inflammatory etc. which are supported by the bioactive compounds, alkaloid, glycosides, flavone etc. present in the plant. Scientific studies validated several actions documented in Unani literature, but further researches needed to explore the hidden properties of the plant. This review focuses on the plant’s traditional uses, pharmacological properties.

Mechanism of Si Ni San Combined with Astragalus in Treating Hepatic Fibrosis: A Network Pharmacology and Molecular Docking Study.

Si Ni San combined with Astragalus (SNSQ) has demonstrated significant efficacy in the treatment of hepatic fibrosis (HF), as confirmed by clinical practice. However, its pharmacological mechanism remains unclear. This study employs network pharmacology to identify key targets and proteins for molecular docking. Additionally, animal experiments were conducted to validate the network pharmacology results, providing further insights into the mechanism of SNSQ in treating HF. Effective compounds of SNSQ were screened from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) and Encyclopedia of Traditional Chinese Medicine (ETCM) databases. Molecular formula structures of these effective compounds were obtained from the PubChem database. Partial target proteins with a probability greater than 0.6 were sourced from the SWISS database. Uniprot IDs corresponding to these target proteins were retrieved from the SUPERPRED database. The remaining target proteins of the compounds were obtained from the Uniprot database based on the Uniprot IDs. The drug target proteins were then summarized. Target points related to HF were selected from the GeneCards and OMIM databases. Common target points were identified in the Venn diagram and imported into Cytoscape 3.9.1 software to construct the "SNSQ-effective compound-target pathway-HF" network. AutoDock software was used for molecular docking of compounds and target proteins with high-degree values. The common target points underwent GO function enrichment and KEGG pathway enrichment analysis using the DAVID database. An HF rat model was established, and serum AST and ALT activities were measured. The Hyp assay kit was utilized to detect the Hyp content in liver tissue. To the transcription levels of pro-inflammatory factors (IL-1β, TNF-α, IL-6) and anti-inflammatory factors (IL-10, TGF-β1, IL-4) in rat serum and liver.IL-1β, TNF-α, IL-10, and TGF-β1 were chosen for validation through ELISA. Western blotting and qRT-PCR were used to assess the expression of related proteins, namely NFKB1, NF-κBp65, NF-κBp50, α-SMA, and Col-1 in liver tissue. qRT-PCR was also employed to study the expression of ECM synthesis and proliferation-related genes, including Cyclin D1, TIMP1, COL1A1 in HSC-T6 cells and rat liver tissue, as well as the inhibition of the ECM-related gene MMP13 in HSC-T6 cells and rat liver tissue. A total of 16 valid compounds were predicted, with kaempferol, sitosterol, and isorhamnetin exhibiting high-degree values. KEGG enrichment analysis revealed that the target genes of SNSQ were enriched in multiple pathological pathways, with the NF-Kappa B signaling pathway being predominant. Molecular docking simulations indicated strong affinities between SNSQ's primary components-kaempferol, sitosterol, isorhamnetin-and NFKB1. Experimental results demonstrated significant reductions in AST, ALT, and Hyp levels in the SNSQ group. Pro-inflammatory factors (IL-1β, TNF-ɑ) were markedly reduced, while anti-inflammatory factors (IL-10, TGF-β1) were substantially increased. The protein expression and transcription levels of α-SMA and Col-1 were significantly decreased, whereas those of NFKB1, NF-κBp65, and NF-κBp50 were notably elevated. mRNA expression levels of Cyclin D1, TIMP1, COL1A1 in HSC-T6 cells and rat liver tissue were significantly decreased, whereas MMP13 mRNA expression level was significantly increased. Treatment of HF with SNSQ involves multiple targets and pathways, with a close association with the overexpression of NFKB1 and activation of the NF-Kappa B signaling pathway. Its mechanism is closely linked to the activation of inflammatory responses, HSC activation, and proliferation.

Biological Potential and Therapeutic Effectiveness of Hinokiflavone in Medicine: The Effective Components of Herbal Medicines for Treatment of Cancers and Associated Complications

Background: Plants have been providing us medicines and food material for centuries. Traditional system of medicine, including Ayurveda, and Traditional Chinese medicines have been playing important role in health sectors for the treatment of human disorders since very early age. Plant secondary metabolites, including flavonoids, coumarins, saponins, and tannins have significant therapeutic potential in medicine. Biflavonoids are dimers of flavonoids, linked by a C–O–C or C–C bond. Hinokiflavone is an important class of biflavonoids found to be present in Toxicodendron succedaneum, Isophysis tasmanica, Juniperus rigida, Juniperus phoenicea, Platycladi cacumen, Rhus succedanea, Selaginella tamariscina, Platycladus orientalis, Selaginella bryopteris, and Metasequoia glyptostroboides. Methods: Biological potential of hinokiflavone in medicine have been analyzed in the present work through scientific data analysis of various literature work. Scientific database, including Google, Scopus, Science Direct, and PubMed were searched to collect all the scientific information of the present work using terms flavonoid, biflavonoid, herbal medicine, and hinokiflavone. Pharmacological activities of hinokiflavone were analyzed in the present work in very detailed manner. Analytical data of hinokiflavone were collected and analyzed in present work in order to know the biological source of hinokiflavone. Results: Present work signified the biological importance of hinokiflavone against various types of cancerous disorders, including breast cancer, colorectal cancer, esophageal squamous cancer, adenocarcinoma, hepatocellular carcinoma, myeloid leukemia, and melanoma. Further, its antiinflammatory, hepatoprotective, anti-viral, and anti-oxidant potential were also discussed in the present work. Moreover, its biological potential against COVID-19 and hair loss, and procoagulant activity were also summarized in this paper. Analytical data on hinokiflavone signified the importance of various analytical techniques in the extraction, separation, and identification of hinokiflavone with their pharmacokinetic parameters. Conclusion: Present work signified the biological importance and therapeutic potential of hinokiflavone in medicine.

From Traditional Medicine to Advanced Therapeutics: The Renaissance of Phyto-nano Interventions in Psoriasis.

Psoriasis is an autoimmune systemic chronic inflammatory disease that exhibits characteristic detrimental effects on the skin, often leading to infections or comorbid conditions. The multifaceted nature of psoriasis has made it very challenging to treat, especially with current chemotherapy options. Therefore, it is essential to consider phytoconstituents as novel alternatives. However, despite demonstrating higher anti-inflammatory, anti-psoriasis, and immunomodulatory potential, their clinical usage is hindered due to their poor physicochemical properties. To address these drawbacks, nanoparticulate drug delivery systems have been developed, helping to achieve better permeation of phytoconstituents through topical administration. This has breathed new life into traditional systems of medicine, particularly in the context of treating psoriasis. In this current review, we present a detailed, comprehensive, and up-to-date analysis of the literature, which will contribute to affirming the clinical role of phyto-nano interventions against psoriasis.

V. M. Kuṭṭikṛṣṇa Mēnōn: An unmatched scholar of traditional Ayurveda system of medicine

Abstract V. M. Kuṭṭikṛṣṇa Mēnōn was an eminent Ayurveda physician, an astute researcher, and an insightful and eloquent writer. He is the author of three great books on Ayurveda and myriad publications on Ayurveda and folklore. The translation of Vāgbhaṭa’s Aṣṭāṅgahṛdayam (Sūtrasthāna), the quintessence and their treatment, and the publication of “Kriyākaumudi” and “Cikitsākautukam,” can all be seen as efforts to revive Kerala’s ancient traditions. As his writings were available only in the native Malayalam language, he remained unknown to other parts of the country. He perused innumerable palm leaf manuscripts from private collections and manuscript repositories at Thiruvananthapuram and Kozhikode, the contents of which otherwise would have never appeared in publications. He has not received much recognition and rewards that he deserved, but his insatiable thirst for knowledge has urged him to dig deep into the treasures of Ayurveda.

Yantiao Formula intervention in Rats with Sepsis: Network Pharmacology and Experimental Analysis.

Traditional Chinese Medicine prescribes Yantiao Formula (YTF; peach kernel, mirabilite, Angelica sinensis, Radix Scrophulariae, raw rhubarb, Radix Paeoniae, Flos Lonicerae, Forsythia, and Ophiopogon japonicus) to treat sepsis. Clinically, it reduced the inflammatory response of sepsis. It also reduced lung damage by decreasing the level of TNF-α in septic rats' serum. Using network pharmacology analysis, we investigated the efficacy network and mechanism of YTF in treating sepsis. We used the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and a Bioinformatics Analysis Tool for Molecular Mechanisms of Traditional Chinese Medicine (BATMAN-TCM) combined with literature to collect the main components in YTF and their targets. DisGeNET and GENECARDS databases were used for sepsis-related targets. Cytoscape 3.7.1 software was used to construct the herbcomponent- target and ingredient-target-disease interaction protein-protein interaction networks of YTF. The jvenn was used to perform the intersection of YTF targets and sepsis targets. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed． We also created a sepsis rat model using cecal ligation and perforation and stimulated alveolar macrophages (NR8383) with endotoxin to investigate the mechanisms of YTF. GO, and KEGG enrichment analysis revealed that these targets involved mineralocorticoid secretion, aldosterone secretion, active regulation of chronic inflammatory response, the exogenous coagulation pathway, and other pathophysiology. It was linked to various inflammatory factors and the MAPK pathway. YTF inhibits the p38MAPK pathway and decreases TNF- α, IL-6, and CXCL8 levels. YTF has a multi-component, multi-target, and multi-channel role in treating sepsis. The primary mechanisms may involve inhibiting the p38MAPK pathway to reduce the inflammatory response.

Utilizing network pharmacology, molecular docking, and animal models to explore the therapeutic potential of the WenYang FuYuan recipe for cerebral ischemia-reperfusion injury through AGE-RAGE and NF-κB/p38MAPK signaling pathway modulation

BackgroundStroke is a debilitating condition with high morbidity, disability, and mortality that significantly affects the quality of life of patients. In China, the WenYang FuYuan recipe is widely used to treat ischemic stroke. However, the underlying mechanism remains unknown, so exploring the potential mechanism of action of this formula is of great practical significance for stroke treatment. ObjectiveThis study employed network pharmacology, molecular docking, and in vivo experiments to clarify the active ingredients, potential targets, and molecular mechanisms of the WenYang FuYuan recipe in cerebral ischemia-reperfusion injury, with a view to providing a solid scientific foundation for the subsequent study of this recipe. Materials and methodsActive ingredients of the WenYang FuYuan recipe were screened using the traditional Chinese medicine systems pharmacology database and analysis platform. Network pharmacology approaches were used to explore the potential targets and mechanisms of action of the WenYang FuYuan recipe for the treatment of cerebral ischemia-reperfusion injury. The Middle Cerebral Artery Occlusion/Reperfusion 2 h Sprague Dawley rat model was prepared, and TTC staining and modified neurological severity score were applied to examine the neurological deficits in rats. HE staining and Nissl staining were applied to examine the pathological changes in rats. Immunofluorescence labeling and Elisa assay were applied to examine the expression levels of certain proteins and associated factors, while qRT-PCR and Western blotting were applied to examine the expression levels of linked proteins and mRNAs in disease-related signaling pathways. ResultsWe identified 62 key active ingredients in the WenYang FuYuan recipe, with 222 highly significant I/R targets, forming 138 pairs of medication components and component-targets, with the top five being Quercetin, Kaempferol, Luteolin, β-sitosterol, and Stigmasterol. The key targets included TP53, RELA, TNF, STAT1, and MAPK14 (p38MAPK). Targets related to cerebral ischemia-reperfusion injury were enriched in chemical responses, enzyme binding, endomembrane system, while enriched pathways included lipid and atherosclerosis, fluid shear stress and atherosclerosis, AGE-RAGE signaling in diabetic complications. In addition, the main five active ingredients and targets in the WenYang FuYuan recipe showed high binding affinity (e.g. Stigmasterol and MAPK14, total energy <−10.5 Kcal/mol). In animal experiments, the WenYang FuYuan recipe reduced brain tissue damage, increased the number of surviving neurons, and down-regulated S100β and RAGE protein expression. Moreover, the relative expression levels of key targets such as TP53, RELA and p38MAPK mRNA were significantly down-regulated in the WenYang FuYuan recipe group, and serum IL-6 and TNF-a factor levels were reduced. After WenYang FuYuan recipe treatment, the AGE-RAGE signaling pathway and downstream NF-kB/p38MAPK signaling pathway-related proteins were significantly modulated. ConclusionThis study utilized network pharmacology, molecular docking, and animal experiments to identify the potential mechanism of the WenYang FuYuan recipe, which may be associated with the regulation of the AGE-RAGE signaling pathway and the inhibition of target proteins and mRNAs in the downstream NF-kB/p38MAPK pathway.

Vaidya Bhagwan Dash – a renowned clinician, researcher, and litterateur of Ayurveda

Abstract Vaidya Bhagwan Dash was a highly respected Ayurvedic physician and a distinguished luminary in Ayurveda who dedicated his life to preserving and promoting Ayurvedic knowledge. He has been a man of great acumen and erudition, with the capacity of felicitous literary expression of Ayurveda. These qualities place him in the pantheon of modern India as one of the greatest pioneers of Ayurveda. Vaidya Bhagwan Dash acquired proficient knowledge in Ayurveda, and his work has been recognized and awarded globally. His achievements serve as an inspiration to those who wish to contribute to the field of Ayurveda. He was a proponent of Ayurveda and recognized its growing importance in the international community. He believed that Ayurveda’s popularity stems from its accessibility, affordability, and potential to heal without toxic side effects. His books and writings provide insights into Ayurveda’s therapeutic potential and fundamental principles. He was a visionary who emphasized the need to understand traditional systems of medicine before exploring new drugs and played a pivotal role in encouraging people to adopt herbal remedies instead of modern medicine. His dedication to the field, extensive knowledge, and tireless efforts to promote Ayurveda globally have made him a highly revered and renowned figure. His contributions to Ayurveda through his translations, research, education, and establishment of research institutions have helped to promote the integration of Ayurveda into mainstream healthcare systems.

Amla (Emblica officinalis) Alleviates Doxorubicin-Induced Cardiotoxicity and Nephrotoxicity in Rats

INTRODUCTIONDoxorubicin (DOX) is a widely used anticancer drug known for its significant cardiotoxic and nephrotoxic effects. Seeking remedies to mitigate these adverse effects is crucial. This study investigates the potential of Emblica officinalis (Amla) extract, a prominent component in Chinese and Indian traditional medicine systems, in alleviating DOX-induced cardiotoxicity and nephrotoxicity. METHODSDOX (20 mg/kg i.p., once) was given to rats to cause acute cardiotoxicity and nephrotoxicity. Rats received 16 similar and cumulative doses of DOX (1.25 mg/kg, i.p.) on alternate days for chronic cardiotoxicity and nephrotoxicity. Biochemical and histological evaluations were done to confirm the onset of cardiotoxicity and nephrotoxicity. RESULTSThe cardioprotective and nephroprotective effects of Amla extract (AE) (150 mg/kg p.o. and 300 mg/kg p.o) were evaluated in comparison to Vitamin E (25 mg/kg p.o.). The treatment with AE (300 mg/kg/day, p.o.) considerably prevented DOX-induced cardiotoxicity, nephrotoxicity, and oxidative stress by positively altering the integrity of glomeruli, restoring the tissue GSH and decreasing serum TBARS. AE (300 mg/kg) was found to be more cardioprotective and nephroprotective than Vitamin E (25 mg/kg p.o.). DISCUSSIONIt may be concluded that the induction of cardiotoxicity and nephrotoxicity in rats may be due to DOX-induced oxidative stress, and chronic treatment with AE (300 mg/kg) is an effective way to alleviate the cardiotoxic and nephrotoxic adverse effects of DOX in rats. Moreover, given Amla's historical and contemporary significance in Chinese and Indian traditional medicine systems, its potential therapeutic role merits further exploration in clinical settings.

Argyreia nervosa Mitigates Insulin Resistance in Liver via IR/IRS-1 Mediated Signaling in Streptozotocin-Induced Type-2 Diabetic Rats

Argyreia nervosa, commonly known as Hawaiian baby woodrose or wooly morning glory, is a plant native to India and is also found in various parts of the world. It is known for its seeds, which have been used traditionally in Ayurvedic and traditional medicine systems for various diseases. The study was aimed at assessing the effect of Argyreia nervosa on insulin signaling molecules of the liver in streptozotocin (STZ)-induced experimental type-2 diabetic rats. Healthy adult male Wistar albino rats -150-180 days old weighing 180-200g was used for the study and divided as Group I - Normal rats; Group II – type-2 diabetic rats; Group III -Diabetic rats + A. nervosa 500 mg/kg b.wt; Group IV-Normal rats + A. nervosa 500 mg/kg b.wt. Fasting blood glucose, and fasting serum insulin were measured by calorimetric methods. Further mRNA expression analysis of insulin receptor (IR) was measured in control and treated animals by quantitative Ream Time PCR analysis. A. nervosa root extract significantly reduced fasting blood glucose and serum insulin concentrations in STZ-induced rats compared with control. In addition, mRNA expression of IR showed a one-fold increase in the expression which shows that A. nervosa is involved in the regulation of insulin signaling in the liver and thereby reduces insulin resistance and type-2 diabetes. Our study concludes that A. nervosa root extract has a significant role on insulin signaling molecules thereby it reduces hyperglycemia and hyperinsulinemia via insulin receptor-mediated pathways. Hence, A. nervosa may be considered as one of the therapeutic natural antidiabetic drugs.