Exploring antithrombotic mechanisms and effective constituents of Lagopsis supina using an integrated strategy based on network pharmacology, molecular docking, metabolomics, and experimental verification in rats.

ETHNOPHARMACOLOGICAL RELEVANCE: Thrombosis is a common cause of morbidity and mortality worldwide. Lagopsis supina (Stephan ex Willd.) Ikonn.-Gal. ex Knorring is an ancient Chinese herbal medicine used for treating thrombotic diseases. Nevertheless, the antithrombotic mechanisms and effective constituents of this plant have not been clarified. AIM OF THE STUDY: This work aimed to elucidate the pharmacodynamics and mechanism of L. supina against thrombosis. MATERIALS AND METHODS: Systematic network pharmacology was used to explore candidate effective constituents and hub targets of L. supina against thrombosis. Subsequently, the binding affinities of major constituents with core targets were verified by molecular docking analysis. Afterward, the therapeutic effect and mechanism were evaluated in an arteriovenous bypass thrombosis rat model. In addition, the serum metabolomics analysis was conducted using ultra-high performance liquid chromatography coupled with Q-Exactive mass spectrometry. RESULTS: A total of 124 intersected targets of L. supina against thrombosis were predicted. Among them, 24 hub targets were obtained and their mainly associated with inflammation, angiogenesis, and thrombosis approaches. Furthermore, 9 candidate effective constituents, including (22E,24R)-5α,8α-epidioxyergosta-6,22-dien-3ß-ol, aurantiamide, (22E,24R)-5α,8α-epidioxyergosta-6,9 (11),22-trien-3ß-ol, lagopsinA, lagopsin C, 15-epi-lagopsin C, lagopsin D, 15-epi-lagopsin D, and lagopsin G in L. supina and 6 potential core targets (TLR-4, TNF-α, HIF-1α, VEGF-A, VEGFR-2, and CLEC1B) were acquired. Then, these 9 constituents demonstrated strong binding affinities with the 6 targets, with their lowest binding energies were all less than -5.0 kcal/mol. The antithrombotic effect and potential mechanisms of L. supina were verified, showing a positively associated with the inhibition of inflammation (TNF-α, IL-1ß, IL-6, IL-8, and IL-10) and coagulation cascade (TT, APTT, PT, FIB, AT-III), promotion of angiogenesis (VEGF), suppression of platelet activation (TXB2, 6-keto-PGF1α, and TXB2/6-keto-PGF1α), and prevention of fibrinolysis (t-PA, u-PA, PAI-1, PAI-1/t-PA, PAI-1/u-PA, and PLG). Finally, 14 endogenous differential metabolites from serum samples of rats were intervened by L. supina based on untargeted metabolomics analysis, which were closely related to amino acid metabolism, inflammatory and angiogenic pathways. CONCLUSION: Our integrated strategy based on network pharmacology, molecular docking, metabolomics, and in vivo experiments revealed for the first time that L. supina exerts a significant antithrombotic effect through the inhibition of inflammation and coagulation cascade, promotion of angiogenesis, and suppression of platelet activation. This paper provides novel insight into the potential of L. supina as a candidate agent to treat thrombosis.

Exploring antiviral effect and mechanism of Jinye Baidu granules（JYBD）against influenza A virus through network pharmacology and in vitro and invivo experiments.

ETHNOPHARMACOLOGICAL RELEVANCE: Jinye Baidu granules (JYBD) have been used to treat acute respiratory tract infections and demonstrated clinical efficacy for the treatment of emerging or epidemic respiratory viruses such as SARS-CoV-2 and influenza virus. AIM OF THE STUDY: This study is to investigate the antiviral effect of JYBD against influenza A viruses (IAV) in vitro and in vivo and elucidate its underlying mechanism. MATERIALS AND METHODS: Ultra-high-performance liquid chromatography connected with Orbitrap mass spectrometer (UHPLC-Orbitrap MS) was employed to describe the chemical profile of JYBD. The potential pathways and targets involved in JYBD against IAV infection were predicted by network pharmacology. The efficacy and mechanism of JYBD were validated through both in vivo and in vitro experiments. Moreover, combination therapy with JYBD and the classic anti-influenza drugs was also investigated. RESULTS: A total of 126 compounds were identified by UHPLC-Orbitrap MS, of which 9 compounds were unambiguously confirmed with reference standards. JYBD could significantly inhibit the replication of multiple strains of IAV, especially oseltamivir-resistant strains. The results of qRT-PCR and WB demonstrated that JYBD could inhibit the excessive induction of pro-inflammatory cytokines induced by IAV infection and regulate inflammatory response through inhibiting JAK/STAT, NF-κB and MAPK pathways. Moreover, both JYBD monotherapy or in combination with oseltamivir could alleviate IAV-induced severe lung injury in mice. CONCLUSIONS: JYBD could inhibit IAV replication and mitigate virus-induced excessive inflammatory response. Combinations of JYBD and neuraminidase inhibitors conferred synergistic suppression of IAV both in vitro and in vivo. It might provide a scientific basis for clinical applications of JYBD against influenza virus infected diseases.

Exploring the action mechanism and effective components of Yupingfeng powder on influenza based on computational system pharmacology and metabolomics.

ETHNOPHARMACOLOGICAL RELEVANCE: Yupingfeng powder (YPF) is a classic traditional Chinese medicine prescription with a long history of clinical application. However, there is a consensus on the clinical efficacy of YPF in the prevention and treatment of influenza, the underlying pharmacological mechanisms and functional substances have not been thoroughly investigated. AIM OF THE STUDY: This study aimed to elucidate the functional substances and potential mechanisms of YPF against influenza infections by integrating network analysis, metabolomics, computational system pharmacology, and in vitro experiments. MATERIALS AND METHODS: In this study, the active ingredients, related targets, and potential mechanisms of YPF against influenza were identified through network pharmacology and GEO database mining. Combined with metabolomics to corroborate the results of network pharmacology analysis and construct C-T-P-D-M network. Based on this, the key network motifs (KNM) with significance were predicted by system pharmacology algorithm. Finally, the key components as functional substances in the KNM were validated by the coverage of influenza-causing genes and functional pathways, and in vitro experiments. RESULTS: A total of 238 active components and 158 potential target genes intersecting with influenza infection differential genes were screened from YPF. KEGG enrichment analysis indicated that metabolism participated in YPF-provided prevention and treatment on influenza, and metabolomic results further corroborated the significance of the metabolic pathways intervened by YPF included pyruvate metabolism, Valine, leucine and isoleucine degradation, etc. The KNM prediction strategy was computed to include wogonin and isoimperaporin, a group of 48 potential functional components. This functional component group maintained a high degree of consistency with the corresponding C-T network in terms of the coverage of influenza pathogenic genes, and the coverage of functional pathways. Meanwhile, the in vitro results showed that wogonin and isoimperaporin had significant inhibitory effects on inflammation induced by influenza infection, confirming the reliability and accuracy of the KNM prediction strategy. CONCLUSION: YPF against influenza has multi-target and multi-pathway effects, and the underlying mechanisms may be related to metabolism. The pharmacodynamic effects of core components such as wogonin and isoimperaporin on influenza prevention and treatment were confirmed, which represent promising functional candidates for subsequent influenza prevention and treatment, and provide references for the pharmacological and mechanistic analyses of subsequent formulas.

An integrated and rapid evaluation of Curcumae Radix from different botanical origins based on chemical components, antiplatelet aggregation effect and Fourier transform near-infrared spectroscopy.

Curcumae Radix (CR) is a widely used traditional Chinese medicine with significant pharmaceutical importance, including enhancing blood circulation and addressing blood stasis. This study aims to establish an integrated and rapid quality assessment method for CR from various botanical origins, based on chemical components, antiplatelet aggregation effects, and Fourier transform near-infrared (FT-NIR) spectroscopy combined with multivariate algorithms. Firstly, ultra-performance liquid chromatography-photodiode array (UPLC-PDA) combined with chemometric analyses was used to examine variations in the chemical profiles of CR. Secondly, the activation effect on blood circulation of CR was assessed using an in vitro antiplatelet aggregation assay. The studies revealed significant variations in chemical profiles and antiplatelet aggregation effects among CR samples from different botanical origins, with constituents such as germacrone, ß-elemene, bisdemethoxycurcumin, demethoxycurcumin, and curcumin showing a positive correlation with antiplatelet aggregation biopotency. Thirdly, FT-NIR spectroscopy was integrated with various machine learning algorithms, including Artificial Neural Network (ANN), K-Nearest Neighbors (KNN), Logistic Regression (LR), Support Vector Machine (SVM), and Subspace K-Nearest Neighbors (Subspace KNN), to classify CR samples from four distinct sources. The result showed that FT-NIR combined with KNN and SVM classification algorithms after SNV and MSC preprocessing successfully distinguished CR samples from four plant sources with an accuracy of 100%. Finally, Quantitative models for active constituents and antiplatelet aggregation bioactivity were developed by optimizing the partial least squares (PLS) model with interval combination optimization (ICO) and competitive adaptive reweighted sampling (CARS) techniques. The CARS-PLS model achieved the best predictive performance across all five components. The coefficient of determination (R2p) and root mean square error (RMSEP) in the independent test sets were 0.9708 and 0.2098, 0.8744 and 0.2065, 0.9511 and 0.0034, 0.9803 and 0.0066, 0.9567 and 0.0172 for germacrone, ß-elemene, bisdemethoxycurcumin, demethoxycurcumin and curcumin, respectively. The ICO-PLS model demonstrated superior predictive capabilities for antiplatelet aggregation biotency, achieving an R2p of 0.9010, and an RMSEP of 0.5370. This study provides a valuable reference for the quality evaluation of CR in a more rapid and comprehensive manner.

Network pharmacology integrated with molecular docking and molecular dynamics simulations to explore the mechanism of Tongxie Yaofang in the treatment of ulcerative colitis.

Tongxie Yaofang (TXYF), a classical traditional Chinese medicine, is commonly used in China to treat ulcerative colitis (UC). The aim of this study was to integrate network pharmacology with molecular docking and molecular dynamics simulations to explore the mechanism of Tongxie Yaofang in the treatment of UC. The traditional Chinese medicine systems pharmacology database was used to retrieve the relevant chemical compositions of the herbs contained in TXYF. The DisGeNET, GeneCards, Online Mendelian Inheritance in Man, and Therapeutic Target Database databases were used to retrieve UC-related targets. To construct protein-protein interaction networks and screen for key targets, gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses of the key targets of TXYF in the treatment of UC were performed using R 4.3.2 software. AutoDock Tools 1.5.7 was used for molecular docking. Molecular dynamics simulations of protein complexes and complexes of proteins with small-molecule ligands and eutectic ligands were carried out with Gromacs 2022 software. Network pharmacology analysis revealed that TXYF could act on UC through multiple targets and pathways. It may exert therapeutic effects mainly through the AGE/RAGE, TOLL, JAK/STAT, and Th17 signaling pathways. The possible targets of TXYF in the treatment of UC could be AKT1, BCL2, EGFR, HMOX1, HSP90AA1, and TGFß1. Molecular docking analysis revealed that AKT1 had the highest binding energy (-10.55 kcal/mol). Molecular dynamics simulations revealed that the complexes formed by the AKT1 protein and the chemical compounds MOL001910 and MOL00035 had good stability and high binding strength. AKT1 may be the most critical target of TXYF in treating UC, and the key chemical components of TXYF in treating UC may include ß-sitosterol (MOL000358) and 11alpha,12alpha-epoxy-3beta-23-dihydroxy-30-norolean-20-en-28,12beta-olide (MOL00 1910). This study revealed that TXYF may exert therapeutic effects on UC through multiple targets, multiple biological functions, and multiple signaling pathways. This study provides a new insight into the pharmacological mechanism of TXYF in treating UC.

Insights into the mechanism of Danggui Liuhuang Tang in treating night sweats: A network pharmacology and molecular docking approach.

BACKGROUND: Night sweats can occur independently or in association with a number of medical conditions and can significantly disrupt daily life. This study focuses on the treatment of primary night sweats. Despite the considerable interest in Danggui Liuhuang Tang (DGLHT), an effective traditional Chinese medicine formula, its mechanism of action remains unknown. There is also no existing literature on the subject. METHODS: Network pharmacology and molecular docking techniques. RESULTS: Network pharmacology techniques were employed to identify 109 active ingredients and 808 potential targets of DGLHT, as well as 2385 targets associated with night sweating diseases. The screening process yielded 375 common targets shared between DGLHT and night sweating. These included the active ingredients baicalein, quercetin, huarangiin, and tetrahydroafrican antipyrine, and the core targets interleukin 6, serine/threonine protein kinase 1, tumor necrosis factor, GAPDH enzyme, and Src protein kinase were identified. The Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that DGLHT exerts its therapeutic effects primarily by modulating the PI3K-Akt signaling pathway, neuroactive ligand-receptor interactions, lipid metabolism, and atherosclerosis pathways. Molecular docking revealed strong binding activity between the main active ingredients and their potential targets. CONCLUSION: The research identifies promising active ingredients and targets related to the effectiveness of DGLHT in controlling night sweats, thus contributing to the further exploration of potential therapeutics for this condition. In addition, the results of this experiment provide a basis for future research into night sweats.

Multivariate approach to assess the bioactive compounds of Atractylodes chinensis (DC.) Koidz in different harvest periods.

BACKGROUND: The Atractylodes chinensis (DC.) Koidz (A. chinensis) Chinese herb possesses numerous therapeutic properties and is extensively utilized in the pharmaceutical industry. Its quality is closely associated with the harvest periods. However, the optimal quality and harvest periods of A. chinensis remain elusive. METHODS: The bioactive compounds of perennial A. chinensis were detected by ultra-high-performance liquid chromatography coupled with quadrupole Orbitrap mass spectrometry (UHPLC-Q-Orbitrap/MS) metabolomics, and differentially abundant compounds were selected by multivariate statistical analysis. Then, variations in the content of differential compounds in samples harvested at different periods were analyzed, while correlation analysis was carried out on the differential compounds to determine the suitable harvest period for distinct components. RESULTS: A total of 61 bioactive compounds were detected in all samples, grouped into 9 known classes. The results revealed that the chemical compositions of A. chinensis at different harvest periods were significantly different. The volatile oil content in the four-year-old and five-year-old samples was relatively high, at 31.92 mg/g and 32.42 mg/g, respectively. There were also significant differences in the content of the six active ingredients, for example, the five-year-old sample had the highest content of atractylodin (4.38 mg/g). Indeed, the harvest period was correlated with the abundance of most bioactive compounds. Specifically, quinquennial samples were significantly negatively correlated with the abundance of organic acids and aliphatics while moderately positively correlated with the abundance of other classes of bioactive compounds. CONCLUSIONS: According to the results, the ideal harvest time for atractylenolide Ⅲ was 3 years. Regarding organic acids, the optimal harvest time was around 2-3 years. Taken together, these results offer valuable insights to producers for optimizing the harvest period for A. chinensis.

Discussion on the mechanism of Tiaoqi Xiaowei decoction in the treatment of chronic atrophic gastritis based on network pharmacology and molecular docking: An observational study.

To explore the mechanism of Tiaoqi Xiaowei decoction in the treatment of chronic atrophic gastritis by network pharmacology and molecular docking. The main active components and targets of Tiaoqi Xiaowei decoction were obtained from TCMSP database. The databases of Disgenet, GeneCards, and OMIM were used to obtain chronic atrophic gastritis-related targets. The component-target-disease network was constructed by Cytoscape 3.7.1 software, and the protein-protein interaction network was constructed by String database. The core targets were screened by CytoNCA plug-in. Gene ontology analysis and Kyoto Encyclopedia of Genes and Genome pathway enrichment analysis were performed using the Metascape database. The core components and targets were subjected to molecular docking verification using AutoDock Tools 1.5.6 software, and the binding score was obtained. A total of 48 active components were identified, involving 82 action targets. Core active components such as quercetin, beta-sitosterol, kaempferol, luteolin, and naringenin, and core targets such as AKT1, TP53, VEGFA, TNF, IL6, and PTGS2 were obtained. A total of 188 signaling pathways were screened out, including cancer pathway, PI3K-Akt, IL-17, and TNF signaling pathway. Molecular docking results showed that the key components of Tiaoqi Xiaowei decoction had a favorable binding affinity with key targets. Tiaoqi Xiaowei decoction acts on multiple targets such as AKT1, TP53, VEGFA, TNF, IL6, PTGS2, and synergistically treats chronic atrophic gastritis by regulating inflammatory responses and tumor-related signaling pathways.

Network pharmacology and molecular docking to explore the treatment potential and molecular mechanism of Si-Miao decoction against gouty arthritis.

Gouty arthritis (GA) is a common metabolic rheumatological disease. Si-Miao decoction has therapeutic effects on GA. In our study, we investigated the mechanism of Si-Miao decoction against GA using network pharmacology and molecular docking analytical methods. The Traditional Chinese Medicine Systems Pharmacology Database was used as the basis for screening the main targets and agents of the Si-Miao decoction, and the Genecards, OMIM, and Drugbank databases were used to screen GA-related targets. They were analyzed using Venn with the drug targets to obtain the intersection targets. We used Cytoscape 3.9.1 to draw the "Drugs-Compounds-Targets" network and the String database for creative protein-protein interaction networks of target genes and filtered core targets. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were used to analyze the core targets. Molecular docking was performed using AutoDockTools to predict the binding capacity between nuclear targets and active components in the Si-Miao decoction. A total of 50 chemically active components containing 53 common targets of Si-Miao decoction anti-GA and 53 potential drug target proteins were identified. Core targets, namely, TNF, STAT3, SRC, PPARG, TLR4, PTGS2, MMP9, RELA, TGFB1, and SIRT1, were obtained through PPI network analysis. GO and KEGG analyses showed that the mechanism of anti-GA in Si-Miao decoction may proceed by regulating biological processes such as inflammatory factor levels, cell proliferation, apoptosis, and lipid and glucose metabolism, and modulating the NOD-like receptor signaling pathway, IL-17 signaling pathway, TNF signaling pathway, NF-kappa B signaling pathway, and Toll-like receptor signaling pathway. We further screened the core targets, including PTGS2, MMP9, and PPAGR, as receptor proteins based on their degree value and molecular docking with the main active compounds in Si-Miao decoction, and found that baicalein had high affinity. In conclusion, Si-Miao decoction, through anti-inflammatory, apoptosis-regulating, and anti-oxidative stress action mechanisms in the treatment of GA.

Spatial Metabolomic Profiling of Pinelliae Rhizoma from Different Leaf Types Using Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging.

Pinelliae Rhizoma (PR), a highly esteemed traditional Chinese medicinal herb, is widely applied in clinical settings due to its diverse pharmacological effects, including antitussive, expectorant, antiemetic, sedative-hypnotic, and antitumor activities. Pinellia ternata exhibits morphological variation in its leaves, with types resembling peach, bamboo, and willow leaves. However, the chemical composition differences among the corresponding rhizomes of these leaf phenotypes remain unelucidated. This pioneering research employed Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging (MALDI-MSI) to conduct the in situ identification and spatial profiling of 35 PR metabolites in PR, comprising 12 alkaloids, 4 organic acids, 12 amino acids, 5 flavonoids, 1 sterol, and 1 anthraquinone. Our findings revealed distinct spatial distribution patterns of secondary metabolites within the rhizome tissues of varying leaf types. Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) effectively differentiated between rhizomes associated with different leaf morphologies. Furthermore, this study identified five potential differential biomarkers-methylophiopogonanone B, inosine, cytidine, adenine, and leucine/isoleucine-that elucidate the biochemical distinctions among leaf types. The precise tissue-specific localization of these secondary metabolites offers compelling insights into the specialized accumulation of bioactive compounds in medicinal plants, thereby enhancing our comprehension of PR's therapeutic potential.

Mechanism of YJKL Decoction in Treating of PCOS Infertility by Integrative Approach of Network Pharmacology and Experimental Verification.

Purpose: Currently, there is still no clear treatment for polycystic ovary syndrome (PCOS). YJKL has better therapeutic effects and lower toxic side effects for PCOS type infertility. This study aims to clarify the potential mechanism of YJKL Decoction in the treatment of PCOS based on network pharmacology and experiments verification. Patients and Methods: Network pharmacology and experimental validation approach were used to investigate the bioactive ingredients, critical targets and potential mechanisms of YJKL Decoction against PCOS. Firstly, we use network pharmacology methods to collect core targets, and then validate their effects on diseases through experiments. Results: Five core targets were screened, Threonine kinase 1 (AKT1), Cellular tumor antigen p53 (TP53), Tumor necrosis factor (TNF), Albumin (ALB) and Vascular endothelial growthfactor A (VEGFA). KEGG analysis showed that YJKL treatment for PCOS mainly include AGE-RAGE signaling pathway in diabetic complications, TNF signaling pathway and HIF-1 signaling pathway. The molecular docking results showed that compounds have higher affinity with targets. Finally, experimental results had shown that YJKL Decoction had an better therapeutic effects in the treatment of PCOS. Conclusion: Based on a systematic network pharmacology approach and experimental verification, our results comprehensively illustrated the active ingredients, potential targets, and molecular mechanism of YJKL for application to PCOS and helps to illustrate mechanism of action on a comprehensive level.

Combining Network Pharmacology and Transcriptomics to Investigate the Mechanisms of Yujiang Paidu Decoction in the Treatment of Chronic Rhinosinusitis with Nasal Polyps.

Background: Yujiang Paidu Decoction (YJPD) has demonstrated clinical efficacy in the treatment of chronic rhinosinusitis. However, the effects and mechanisms of the YJPD on chronic rhinosinusitis with nasal polyps (CRSwNP) remain unclear. Purpose: This study aimed to elucidate the potential mechanism of action of YJPD in the treatment of CRSwNP based on network pharmacology, transcriptomics and experiments. Methods: A CRSwNP mouse model was established using ovalbumin (OVA) and staphylococcus aureus enterotoxin B (SEB) for 12 weeks and the human nasal epithelial cell (HNEpC) model was induced with IL-13 in vitro. Behavioral tests, scanning electron microscopy (SEM), micro-CT and pathological change of nasal tissues were observed to investigate the therapeutic effects of YJPD. Network pharmacology and transcriptomics were launched to explore the pharmacological mechanisms of YJPD in CRSwNP treatment. Finally, an ELISA, immunofluorescence, RT-qPCR, Western blotting and Tunel were performed for validation. Results: Different doses of YJPD intervention effectively alleviated rubbing and sneezing symptoms in CRSwNP mice. Additionally, YJPD significantly reduced abnormal serological markers, structural damage of the nasal mucosa, inflammatory cell infiltration, goblet cell increases, and inhibited OVA-specific IgE levels and the secretion of Th2 cytokines such as IL-4, IL-5, and IL-13. Moreover, transcriptomics and network pharmacology analyses indicated that YJPD may exert anti-inflammatory and anti-apoptotic effects by inhibiting the MAPK/AP-1 signaling pathway. The experimental findings supported this conclusion, which was further corroborated by similar results observed in IL13-induced HNEpCs in vitro. Conclusion: YJPD could alleviate inflammatory status and epithelial apoptosis by inhibiting aberrant activation of MAPK/AP-1 signaling pathway. This finding provides a strong basis for using YJPD as a potential treatment in CRSwNP.

Based on UPLC-Q-TOF/MS and Network Pharmacology to Explore the Mechanism of Qingre Lishi Decoction in the Treatment of Psoriasis.

Background: Psoriasis is an immune-mediated chronic inflammatory disease. Qingre Lishi Decoction (QRLSD) has achieved great clinical effect in the treatment of psoriasis. However, the potential bioactive components and the mechanisms are yet unclear. Aim: To analyze the serum parameters of rats fed with QRLSD, screen out the active components of QRLSD, and explore the potential targets and pathway of QRLSD in the treatment of psoriasis. Materials and Methods: The active components of serum containing QRLSD were analyzed using ultra-high performance liquid chromatography quadrupole-time-of-flight mass spectrometry (UPLC-Q-TOF/MS). The targets of QRLSD in the treatment of psoriasis were predicted by network pharmacology and molecular docking. In vitro experiments verified the underlying mechanism. Results: By UPLC-Q-TOF/MS, 15 prototype components and 22 metabolites were identified in serum containing QRLSD. Subsequently, 260 chemical composition targets and 218 psoriasis targets were overlapped to obtain 23 intersection targets, including LGALS3, TNF, F10, DPP4, EGFR, MAPK14, STAT3 and others. TNF, IL-10, GAPDH, STAT3, EGFR, ITGB1, LGALS3 genes were identified as potential drug targets in the PPI network analyzed by CytoHubba. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses indicated that QRLSD may improve psoriasis by regulating immune and inflammatory pathways, the cytokine mediated signal transduction pathways and other signaling pathways. Molecular docking results showed that the main active components of the serum containing QRLSD had higher affinities for TNF and LGALS3. In vitro experiments confirmed that QRLSD may decrease levels of inflammatory cytokines by suppressing the NF-κB signaling pathway activated by TNF-α in human keratinocytes. Conclusion: This study explores the potential compounds, targets and signaling pathways of QRLSD in the treatment of psoriasis, which will help clarify the efficacy and mechanism of QRLSD.

Development of a pre-column derivatization ultra-high-performance liquid chromatography method for polysaccharide and monosaccharide quantification in Lycium barbarum.

Given the limited specificity and accuracy observed in the current official colorimetric quantification of polysaccharide in Lycium barbarum, our study aims to establish a novel, specific, accurate, and economic pre-column derivatization ultra-high-performance liquid chromatography (UHPLC) method for determining the monosaccharide and polysaccharide content in L. barbarum. The optimization of extraction, hydrolysis, and derivatization (using 1-phenyl-3-methyl-5-pyrazolone) processes for polysaccharide from L. barbarum was conducted initially, followed by separation of nine monosaccharides within 20 min using UHPLC with a C18 column. Subsequently, a novel method known as quantitative analysis of multiple components by single marker was developed, utilizing either additive 2-deoxy-D-ribose or any monosaccharide present in the sample as a single reference standard to simultaneously detect the contents of polysaccharide and nine monosaccharides in L. barbarum. To validate the accuracy of the established method, the quantitative results of our approach were compared to both external and internal standard method methods. The minimal relative errors in the quantitative determination of monosaccharides among the three methods confirmed the dependability of the method. By analyzing 20 batches of L. barbarum samples, D-galacturonic acid exhibited the highest content and the polysaccharide levels ranged from 3.02 to 13.04 mg/g. All data implied the specificity and accuracy of the method.

Target-specific affinity separation of the bioactive compounds from herbal extract using the spin column packed with the immobilized protein microspheres prior to LC-MS analysis.

Excellent pretreatments before instrumental analysis are critical for separation and determination of target compounds for discovery of new drugs from herb medicines. We developed a rapid and highly-selective method to separate the bioactive compounds from herbal extract using protein affinity-selection spin column, which was packed with the new sorbent materials from integrating the recombinant ß2-adrenoceptor (ß2-AR) directly out of cell lysates onto the surface of microspheres. Protein affinity-selection spin column was placed in a centrifugal tube, where after the non-specific binders were released to the filtrate under the operational centrifugation, the specific binders on the spin column were cleaned with a washing solvent for LC-MS analysis. The known agonists of ß2-AR were retained/released on protein affinity-selection spin column but not on control column, demonstrating the method with good recovery (79.4∼95.7 %) and high repeatability (RSD < 3.5 %). The adsorption features of three ligands on the spin column were described best by Prism saturation binding model, and the high-affinity binding and the large binding capacity of the spin column make it feasible to trap the trace analytes effectively. It was applied in separating bioactive compounds from Alstoniae Scholaris extract, two of which were identified as picrinine and oleanolic acid in combination with LC-MS and verified as the potential agonists towards ß2-AR though molecular docking and cell experiments. Our study demonstrated that, the spin column with the immobilized protein sorbents in the centrifugal filter device represents a promising tool, enabling rapid and target-specific affinity separation of the bioactive compounds from herbal extract.

Smartphone-assisted ratiometric fluorescent sensor to quantitatively detect curcumin in traditional Chinese medicine based on Förster resonance energy transfer.

A ratiometric fluorescence sensor (Fe-MIL-88-NH2/curcumin) based on luminescent metal-organic frameworks (LMOFs) for the determination of curcumin was constructed. Upon the addition of curcumin, the 535-nm emission of curcumin was enhanced, while the fluorescence emission at 438 nm was quenched, under 367-nm excitation. This sensor demonstrated a broad linear range from 1.5 to 40 µM, a low detection limit of 35 nM, and a fast response time of at most 30 s. We verified the Förster resonance energy transfer (FRET) mechanism between donor (Fe-MIL-88-NH2) and acceptor (curcumin), which further proved the selectivity of the approach. The sensing system enabled the detection of curcumin in the traditional Chinese medicine (TCM) Turmeric. A smartphone-assisted sensing platform was prepared to visually detect curcumin in a portable manner. This study represents the first attempt to fabricate LMOFs for ratiometric fluorescence detection of curcumin, which has promising potential for application in TCM.

Huangqi-Danshen Decoction Against Renal Fibrosis in UUO Mice via TGF-ß1 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-ß1 (TGF-ß1)-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-ß1-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.

[Research pro gress on historical processing evolution, chemical constituents,and pharmacological effects of Plantaginis Semen].

Plantaginis Semen is a traditional Chinese medicine(TCM) commonly used in clinical practice in China, which has the effects of clearing heat, inducing diuresis for treating stranguria, draining dampness and relieving diarrhea, brightening eyes, and eliminating phlegm. Plantaginis Semen has a long history of processing. In the Han Dynasty, there were records of stir-frying, and then processing with wine, processing with salt water, processing with rice water, and other processing methods appeared. Plantaginis Semen after processing can weaken the cold nature of the drug, suitable for clinical application. Modern research has shown that the main chemical constituents of Plantaginis Semen are phenylethanol glycosides, cyclic enol ether terpenes, polysaccharides, and flavonoids, with diuretic, anti-inflammatory, hypoglycemic, hypolipidemic, antioxidant, and other pharmacological effects. This article reviewed the materia medica, medicine books, and related literature in various dynasties and analyzed the historical processing evolution, chemical constituents, and pharmacological effects of Plantaginis Semen, so as to provide a reference for the relevant research on Plantaginis Semen.

[Progress and trend of identification of traditional Chinese medicine based on chemical features].

Variety identification is the prerequisite and foundation for ensuring the quality of traditional Chinese medicine. The safety risks, legal risks, and regulatory trends underline the importance of traditional Chinese medicine varieties. With the industrialization of traditional Chinese medicine and the production of Chinese medicinal materials from wild growing to cultivation and breeding, new varieties of traditional Chinese medicine keep emerging. At the same time, facing the requirements of the entire process control of traditional Chinese medicine quality under the new situation, the current identification technology of traditional Chinese medicine is facing severe challenges. According to the current situation and evolution trend of technologies for traditional Chinese medicine identification, chemical components as the material basis for the effects of traditional Chinese medicine not only have rich characteristics but also can run through the entire quality formation and transmission process of traditional Chinese medicine. Identifying traditional Chinese medicine based on chemical components is the only way to achieve integrated medicine quality and whole-process quality control. The introduction of modern analytical instruments improves the scope and efficiency of obtaining chemical information of traditional Chinese medicine. Big data and artificial intelligence provide new opportunities for deeply interpreting the scientific connotation of chemical characteristic information of traditional Chinese medicine and comprehensively identifying traditional Chinese medicine based on chemical characteristics. Artificial intelligence can be employed to extract high-dimensional chemical information patterns from comprehensive chemical quantitative information collected from a large number of samples, remove the interference of noise information, and discover the chemical characteristics(components, quantity values, and relative proportions of components) that determine the variety. This approach can help to achieve integrated quality identification based on chemical characteristics, reflect the quality transmission process of traditional Chinese medicine, and achieve quality information traceability, providing support for building a whole-process quality control system of traditional Chinese medicine.

Guanxinning Tablet Alleviates Post-Ischemic Stroke Injury Via Regulating Complement and Coagulation Cascades Pathway and Inflammatory Network Mobilization.

Background: Currently, ischemic stroke (IS) continues to significantly contribute to functional deterioration and reduced life quality. Regrettably, the choice of neuro-rehabilitation interventions to enhance post-IS outcomes is limited. Guanxinning tablet (GXNT), a multi-component medicine composed of Danshen and Chuanxiong, has demonstrated neuroprotective potential against ischemic brain injury and diabetic encephalopathy. However, the therapeutic impact of GXNT on post-IS functional outcomes and pathological injury, as well as the underlying molecular mechanisms and anti-IS active substances, remain unclear. Methods: To answer the above questions, neurological and behavioral assessment, cerebral lesions, and blood-brain barrier (BBB) integrity were combined to comprehensively investigate GXNT's pharmacodynamic effects against post-IS injury. The possible molecular mechanisms were revealed through transcriptome sequencing coupled with experimental verification. Furthermore, the brain tissue distribution of main components in GXNT, behavioral changes of IS zebrafish, and molecular docking were integrated to identify the anti-IS active compounds. Results: Treatment with GXNT significantly mitigated the functional deficits, cerebral cortex lesions, and BBB disruption following IS. Transcriptome sequencing and bioinformatics analysis suggested that complement and coagulation cascades as well as inflammation might play crucial roles in the GXNT's therapeutic effects. Molecular biology experiments indicated that GXNT administration effectively normalized the abnormal expression of mRNA and protein levels of key targets related to complement and coagulation cascades (eg C3 and F7) and inflammation (eg MMP3 and MMP9) in the impaired cortical samples of IS mice. The locomotor promotion in IS zebrafish as well as favorable affinity with key proteins (C3, F7, and MMP9) highlighted anti-IS activities of brain-permeating constituents (senkyunolide I and protocatechuic acid) of GXNT. Conclusion: Taken together, these intriguing findings indicate that GXNT intervention exerts a beneficial effect against post-IS injury via regulating the complement and coagulation cascades pathway and mobilizing inflammatory network. Senkyunolide I and protocatechuic acid show promise as anti-IS active compounds.