Potential Active Ingredients Research Articles

Screening Inhibitors of α-Amylase in Polygala Radix Based on an Online Targeted Detection System and Molecular Docking.

Targeted screening of inhibitors of key enzymes in the progression of diabetes from natural products is one of the effective methods for the treatment of diabetes. Polygala has been proved to reduce glucose levels; however, the bioactive compounds in Polygalae Radix (PR) that have anti-diabetic properties are unknown. The purpose of this study was to explore the material basis of the anti-diabetic effect of PR by inhibiting α-amylase through an online detection system and molecular docking. An online analysis platform was established and optimized for the screening of potent enzyme inhibitors from complex mixtures based on ultra-performance liquid chromatography-photodiode array-quadrupole-time-of-flight-mass spectrometry-α-amylase-fluorescence detector (UHPLC-PDA-Q-TOF-MSn-α-amylase-FLD) detection system and molecular docking, which could efficiently separate extracts, quickly detect α-amylase inhibitors, and determine their structures. Molecular docking confirms the inhibition of these compounds. The molecular interaction between α-amylase and the active compound was evaluated. Among the 101 compounds identified, 28 compounds had a strong inhibitory effect on α-amylase. Molecular docking screening confirmed the inhibition of these compounds and evaluated the molecular interactions between α-amylase and 30 active compounds, which strongly supported the experimental results. Among the evaluated compounds, onjisaponin R (83) and polygalaxanthone III (11) have the strongest inhibitory activity to α-amylase (the binding energies were -9.639 and -8.972 kcal/mol, respectively) and are potential lead compounds against diabetes. This study proved the feasibility of using the existing platform to screen the active ingredients in PR extract, and provided a practical method for the rapid screening of potential anti-diabetic active ingredients in traditional Chinese medicine.

Inulae Flos is a potential herbal medicine to treat glioma: a study based on gene expression profile analysis, network pharmacology and molecular docking

Inulae Flos is a promising herbal medicine; however, its underlying mechanism in treating glioma remains unclear. This study aimed to elucidate the potential active ingredients and mechanisms of Inulae Flos in glioma treatment. Differentially expressed genes (DEGs) associated with gliomas were identified by analyzing the GSE186057 dataset. The bioactive components of Inulae Flos were searched in the Traditional Chinese Medicine Systems Pharmacology database, and related targets were obtained from the Swiss Target Prediction database. A protein-protein interaction (PPI) network was constructed using the STRING database. Next, the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) of these common targets were analyzed using the DAVID database. Finally, AutoDock Vina was used for molecular docking analysis. The tumor-suppressive properties of the crude extract of Inulae Flos (XFH) and britanin were then evaluated with in vitro and in vivo assays. Nineteen active ingredients were obtained from Inulae Flos, and 20 DEGs were identified as the targets of Inulae Flos in glioma treatment. Britanin, luteolin and 1-O-Acetylbritannilactone were identified as the key ingredients. PIK3R1, CDK2, CCNB1, MAPK1, MAPK8, CCNA2, and AR were considered to be the hub target genes of Inulae Flos in glioma treatment. Good binding affinity was observed between the key components and hub targets. In addition, in vitro studies showed that XFH and britanin, a key component of Inulae Flos, could inhibit the growth, migration and invasion glioma cell lines U87 and U138, and repress the tumorigenesis of U138 cells in nude mice. Inulae Flos is promising for glioma treatment, and it exerts its anti-tumor activities via multiple components, targets and pathways.

Integrating network pharmacology, molecular docking, and experimental validation to reveal the mechanism of Radix Rehmanniae in psoriasis.

Radix Rehmanniae (RR) plays an important role in treating psoriasis. However, the active compounds of RR and potential mechanisms are unclear. The current study was designed to investigate the potential active ingredients, targets, and mechanisms of RR in treating psoriasis through network pharmacology, molecular docking, and vitro experiments. Initially, the TCMSP database and literature retrieval were used to access the active ingredients of RR. The psoriasis target proteins were obtained from Therapeutic Target Database, OMIM, GeneCards, and DrugBank databases. The target proteins were then converted into target genes using Uniprot. Secondly, overlapping genes were obtained through Venn online tool. Then, protein-protein interactions network diagram is finished by STRING database. Next, Cytoscape software was used to acquire the top 10 hub proteins; gene ontology and Kyoto encyclopedia of genes and genomes enrichment analysis were then used to predict possible mechanisms. Afterwards, molecular docking validation of the active ingredients with the main targets was performed by AutoDock software. Finally, lipopolysaccharides induced RAW264.7, to assess the effects and molecular mechanisms by MTT, RT-qPCR, and Western blot assays. Overall, there are 20 effective compounds and 33 targets involved in biological processes including apoptosis, intracellular signaling, vasodilation, and mitogen-activated protein kinase (MAPK) signaling cascade. The docking results showed strong binding capacity between the active ingredients and targets. We verified aucubin as the key active ingredient, tumor necrosis factor α, and IL6 as the core targets, and focused on the p38MAPK protein pathway. Cellular experiments showed that aucubin down-regulated the phosphorylated p38MAP protein and reduced the expression of tumor necrosis factor α mRNA, IL6 mRNA, and IL1βmRNA. In summary, RR is featured with multicomponent, multi-target, and multi-pathway in treating psoriasis; the preliminary mechanism may be associated with the down-regulation of p38MAPK phosphorylation and curbing the expression of inflammatory factor by aucubin. This paper provides the scientific basis for Traditional Chinese medicine treating psoriasis.

Huangqi-Guizhi-Wuwutang protects against oligospermia in mice by promoting the proliferation of spermatogenic stem cells: A comprehensive study using HPLC-Q-TOF/MS and experimental pharmacology.

The classical traditional Chinese medicine formula Huangqi-Guizhi-Wuwutang (HGW) has been shown to enhance sperm production. However, the bioactive components and comprehensive mechanisms underlying the therapeutic effects remain unclear. The present study investigates the potential active ingredients and underlying mechanisms of HGW against spermatogenesis dysfunction. The chemical components of HGW were analyzed by mass spectrometry. And then the "components-targets-pathway-disease" network was constructed using network pharmacology research methods, which aimed to identify the key active components and potential targets of HGW in treating oligospermia. Experimental validation was finally conducted in animal model. The male-specific pathogen-free Kunming mice were divided into five groups: Sham group, Model group, and HGW groups (8, 16, and 32 g/kg of HGW by gavage for 35 days). Chemical profile and network pharmacology results revealed that potential bioactive compounds were dihydrocinnacasside, isomucronulatol, and 6-gingerol, and the mechanism of which was enriched in regulating spermatogenic stem cells (SSCs), endocrine function, and apoptosis. The administration of HGW significantly improved oligospermia in mice. HGW significantly upregulated the expression of marker proteins in SSCs and the potential targets within the testis simultaneously. Our data indicates that HGW enhances the proliferation of SSCs, and HGW can be a promising therapeutic candidate for oligospermia.

Unveiling the structural characteristics and anti-inflammatory potential of a novel polysaccharide from sweet potato peels

Sweet potato tubers generate a significant amount of peel waste during starch production, leading to resource inefficiency and environmental pollution. This research focused on the isolation/purification of a novel polysaccharide from sweet potato peel, named as sweet potato polysaccharide (SPP-W). The SPP-W has a molecular weight of 5.764 kDa and consist of glucose monosaccharides. The backbone of SPP-W was composed of →4)-α-D-Glcp-(1→, →4,6)-α-D-Glcp-(1→, and →3,4)-β-D-Glcp-(1→. The branched chain was α-D-Glcp-(1→ linked to the O-6 position of the sugar residue→4,6)-α-D-Glcp-(1→ and the O-3 position of the sugar residue→3,4)- β-D-Glcp-(1→ as confirmed by methylation and NMR analysis. SPP-W was found helpful in reducing the excessive NO, up-regulating IL-10, down-regulating the release of IL-6, IL-1β and TNF-α with LPS-induced RAW264.7 cell inflammation model. Furthermore, SPP-W effectively mitigates oxidative stress by reducing ROS levels, preventing nuclear damage, and preserving mitochondrial membrane potential in the context of inflammation. Immunoassays demonstrated that the clearance of endogenous ROS and the improvement of inflammatory conditions were attributable to the activation of the Nrf2 signaling pathway and inhibition of the NF-κB signaling pathway by SPP-W. Conclusively, SPP-W holds promise as a potential active ingredient for anti-inflammatory functional foods, offering unique and beneficial properties for further research and development.

The analgesic effect and mechanism of the active components screening from Corydalis yanhusuo by P2X3 receptors

Ethnopharmacological relevanceCavidine (CAV) is the main bioactive ingredient of Corydalis ternata f. yanhusuo (Y.H.Chou & Chun C.Hsu) Y.C.Zhu, which is a traditional Chinese herbal containing a variety of uses such as analgesic, anticancer, and anti-inflammatory properties. Aim of the studyThe goal is to screen Corydalis yanhusuo for anti-central sensitization active components and investigate and clarify the pharmacological mechanism and therapeutic efficacy of the active ingredient CAV in the treatment of chronic pain. Material and MethodsFirst, cell membrane immobilized chromatography was used to screen the bioactive ingredients in Corydalis yanhusuo. Spare nerve injury (SNI) model and complete Freund's adjuvant (CFA) mice model were constructed to identify the analgesic effect of CAV. RNA-seq and bioinformatics analyses were used to explore the potential targets of CAV in CFA mice and SNI mice. HE staining was used to observe the infiltration of inflammatory cells in the dorsal root ganglion (DRG) and spinal cord(SC) of CFA mice and SNI mice. WB and qPCR were used to detect the level of inflammatory factors TNF-α, IL-1β, and IL-6 in DRG and SC of mice. SNI and CFA mice were used to study the effect and mechanism of CAV on microglial activation. Results9 potential active ingredients were screened out from Corydalis yanhusuo that can regulate P2X3 receptors. CAV showed good analgesic effects, increased the mechanical pain and thermal pain thresholds of CFA mice and SNI mice, inhibited the expression of DRG and SC inflammatory factors, downregulated IBA-1, and inhibited microglial activation. Further in vivo and in vitro experiments showed that CAV significantly inhibited the expression of P2X3 receptors and the activation of its downstream MAPK pathway in DRG neurons and SC. ConclusionThis study is the first to indicate that CAV exerts an analgesic effect by inhibiting microglia activation via the P2X3 signaling pathway axis, providing the clinical utility of CAV in chronic pain therapy.

In vivo and in silico antihypertensive, anti-inflammatory, and analgesic activities of Vernonia amygdalina Del. leaf extracts

Vernonia amygdalina (VA) leaves contain many potential active ingredients and exhibit diverse pharmacological activities. The antihypertensive, anti-inflammatory, and analgesic effects of VA crude and fraction extracts were carried out using Swiss albino mice models. VAE is considered safe to be administered due to LD50 being greater than 10,000 mg/kg body weight. A dose-dependent increase in antihypertensive, anti-inflammatory, and analgesic activities was observed in both VAE and fractions, similar to the reference drugs. The antihypertensive effect of the VAE 2.0 (2000 mg/kg, SBP: ↓26.05 %, DBP: ↓34.51 %) was nearly equivalent to Captopril (100 mg/kg, SBP: ↓30.28 %, DBP: ↓40.71 %) with no statistically significant difference (p > 0.05). The VAE 1.0 (1000 mg/kg), and EA 30 (30 mg/kg) showed potent anti-inflammatory activity when reducing the total edematous paw volume significantly (p < 0.01) by ↓65.58 %, and ↓69.34 %, respectively, similar to Ibuprofen (7.5 mg/kg, ↓67.03 %). Besides, VAE (>500 mg/kg), and W 400 (water, 400 mg/kg) fraction extracts showed a potent analgesic effect equivalent to Para 50 (paracetamol 50 mg/kg) for the highest protection (>65 %) against the acetic acid-induced writhing after 35 min. Moreover, cepharanthine, cynaroside, and vernoniosides of VA leaf extract exhibited the highest affinity (>10 kcal/mol) in anti-inflammatory and analgesic targets (iNOS and COX-2) and antihypertensive targets (ACE and β1 adrenoreceptor). Therefore, the crude and fraction extracts of VA leaves from the percolation method and bioactive metabolites are a potential source that can be developed into antihypertensive, anti-inflammatory, and analgesic agents in herbal medicine.

Identification and screening of potential anti-pneumonia active ingredients and targets of Qing-Kai-Ling oral liquid via UHPLC-Q-Exactive Orbitrap mass spectrometry based on data post-processing

Qing-Kai-Ling oral liquid is commonly used clinically for the treatment of fever and upper respiratory tract infection. Moreover, studies have shown that Qing-Kai-Ling oral liquid has an anti-pneumonia effect. However, owing to its complex pharmacodynamic material basis, its pharmacological research and clinical application are limited. To address this problem, the chemical constituents of Qing-Kai-Ling oral liquid were identified by ultra-high performance liquid chromatography quadrupole-Exactive Orbitrap mass (UHPLC-Q-Exactive Orbitrap MS) and network pharmacology methods, which were used to predict its potential anti-pneumonia target and signalling pathway. A total of 150 compounds were identified and tentatively characterized, including 35 amino acids and their derivatives, 36 organic acids, 20 terpenoids, 20 alkaloids, 12 glycosides, 7 flavonoids, and 20 others. Among them, 14 compounds were accurately identified by comparing their retention time and mass spectrum data with those of reference substances. Additionally, we performed molecular simulation calculations via Density Function Theory to determine the plausibility of the compound cleavage reactions and further confirm compound structures. Furthermore, 90 key targets were screened through network pharmacology, with the particular focus on the PI3K-AKT, MAPK and TNF signalling pathways. This method achieved the first comprehensive identification of the chemical composition of Qing-Kai-Ling oral liquid and elucidated its potential mechanism of anti-pneumonia. The results provide valuable reference and data support for pharmacodynamic substance research and quality control.

Shaoyao-Gancao Decoction, a famous Chinese medicine formula, protects against APAP-induced liver injury by promoting autophagy/mitophagy

BackgroundAcetaminophen (APAP)-induced hepatotoxicity is a major cause of acute liver failure (ALF), during which autophagy is triggered as a cellular defense mechanism. Shaoyao-Gancao Decoction (SGD), a traditional prescription in Chinese Medicine, is renowned for its therapeutic effects on liver diseases. However, the efficacy and mechanisms of SGD in treating APAP-induced liver injury remain underexplored. PurposeThis study aims to provide robust evidence regarding the protective effects of SGD against APAP overdose in vitro and in vivo, as well as to elucidate its hepatoprotective mechanisms and active components. Study designThe hepatoprotective mechanisms and active components of SGD were investigated through a combination of in vivo and in vitro experiments. MethodsThe protective effects of SGD on APAP-induced liver injury were assessed using a murine model and primary hepatocytes. RNA sequencing and subsequent experimental validations were conducted to uncover the underlying mechanisms of SGD's hepatoprotective actions. Comprehensive chemical profiling of SGD was performed using UHPLC-Q-Exactive Orbitrap HRMS to identify potential active ingredients. Immunohistochemistry, immunofluorescence, quantitative real-time PCR (qPCR), western blotting, enzyme-linked immunosorbent assay (ELISA), and flow cytometry were utilized to investigate the specific cellular changes in liver tissues and hepatocytes influenced by SGD. ResultsSGD was observed to mitigate APAP-induced mitochondrial damage, inflammation, and necrosis by promoting mitochondrial autophagy. The inhibition of autophagy negated the hepatoprotective effects of SGD. Additionally, a detailed characterization of SGD's chemical composition revealed that Licoisoflavone B, Liquiritin, Liquiritin apioside, Licorice saponin G2 and Paeoniflorin Sulfit were potentially critical compounds in the regulation of autophagy and mitophagy. ConclusionOur findings demonstrate that SGD promotes autophagy/mitophagy, which effectively mitigates APAP-induced hepatotoxicity, suggesting SGD's potential as a promising therapeutic agent for APAP-induced liver injury.

Network Pharmacology and Validation of the Combinative Therapy of Ligusticum striatum DC. and Borneolum against Cerebral Ischemia

Background: Ligusticum striatum DC. (LDC) is often prescribed for Cerebral Ischemia (CI) and is commonly combined with Borneolum (BO) to enhance therapeutic outcomes. However, its specific active ingredients and underlying mechanisms remain unclear. Objective: This study aimed to identify the active ingredients and mechanisms of LDC and BO combination therapy against CI using network pharmacology, molecular docking, and in vivo experiments. Methods: Potential active ingredients and targets were sourced from relevant databases, and a drug-component-target-disease network was constructed to pinpoint key ingredients. Subsequently, a protein-protein interaction analysis was conducted to confirm the key targets. Following enrichment analyses of Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG), molecular docking was employed to evaluate binding energies. Finally, the therapeutic effects and mechanisms of the combination against CI were validated through in vivo experiments using male ICR mice Results: Venn analysis identified a total of 41 components and 292 potential targets. The drugcomponent-target-disease network revealed that the key components in LDC were palmitic acid, tetramethylpyrazine, and (Z)-ligustilide, while those in BO were (+)-borneol, β-elemene, and (-)- borneol. The PPI analysis highlighted seven crucial targets. Docking results confirmed a stable affinity between these components and their targets. KEGG enrichment analysis indicated that the mechanism involved the PI3K/AKT signaling pathway. Subsequently, in vivo experiments confirmed that the combination ameliorated abnormal hippocampus morphology and reduced the release of inflammatory factors through the activation of the PI3K/AKT signaling pathway Conclusion: The combination of LDC and BO markedly improved CI and inhibited inflammation response via activating the PI3K/AKT pathway

Chemometric-based analysis and bioassay guided identification of potent compounds with intestinal motility promoting effects from Dalitong Granules

Ethnopharmacological relevanceDalitong Granules (DLT), a potent Traditional Chinese Medicine known for its ability to promote gastrointestinal motility, is widely used in clinical practice for the treatment of Functional Dyspepsia (FD). Despite the remarkable clinical efficacy of DLT, the specific components responsible for its effectiveness remains unclear. Aim of the studyThe study aimed to identify potential active ingredients of DLT for treating FD through spectrum-effect relationship analysis, multivariate statistical analysis and network pharmacology analysis. The efficacy of these identified compounds was subsequently validated using the zebrafish intestinal peristalsis model. Materials and methodsThe fingerprints of various solvent-extracted DLT were analyzed using high performance liquid chromatography coupled with tandem high-resolution mass spectrometry. The intestinal motility-promoting activities of DLT extracted by different solvents were evaluated through an intestinal propulsion test in mice. Potential therapeutic substances in DLT for treating FD were screened via chemometric analysis based on spectrum-effect relationship analysis. The correlation between the intensity of common peaks in the total ion chromatogram and the pharmacodynamic indices was assessed using multivariate statistical analysis. Additionally, given the complexity of Traditional Chinese Medicine, which comprises multiple components and targets, a network pharmacology analysis was performed to investigate the potential active ingredients in DLT. Finally, the pharmacological effects of these compounds in DLT were validated using a zebrafish intestinal motility model. ResultsThrough spectral-effect relationships analysis and network pharmacology analysis, it was determined that ten ingredients in DLT contribute to the promotion of intestinal motility. In a zebrafish intestinal motility model, it was observed that eight chemicals (excluding tetrahydropalmatine) demonstrate favorable activity of promoting gastrointestinal motility. These findings suggest that these ingredients may serve as potential therapeutic agents for improving gastric motility disorders. ConclusionsThis study employed spectral-effect relationship and network pharmacology analysis to identify the active ingredients in DLT. The findings were then validated using a zebrafish intestinal peristalsis model. These results provide a scientific foundation for the clinical application of DLT as a key traditional herbal formula for managing FD.

Beta-Myrcene as a Sedative-Hypnotic Component from Lavender Essential Oil in DL-4-Chlorophenylalanine-Induced-Insomnia Mice.

With the increasing prevalence of insomnia-related diseases, the effective treatment of insomnia has become an important health research topic. Lavender (Lavandula angustifolia Mill.) essential oil (LEO) is a commonly used medicine for the treatment of insomnia and neurological disorders. However, neither the active components nor its sedative-hypnotic mechanism have been fully discovered. This study aimed to screen the main active terpenes and discover the possible mechanism of LEO through network pharmacology in the treatment of insomnia-related diseases, as well as to verify our hypothesis in insomnia mice. The results showed that, in LEO's 15 potential active ingredients, beta-myrcene had strong sedative-hypnotic effects through the serotonergic synaptic pathway according to the network pharmacological prediction. Further, PCPA(DL-4-chlorophenylalanine)-induced insomnia mice were treated with beta-myrcene for one day or seven days. The quiet state of insomnia mice was increased effectively, and the hypnotic effect was enhanced by anaobarbital sodium by prolonging sleep duration, decreasing sleep latency, and increasing the rate of falling asleep. Beta-myrcene reduced the damage to hypothalamic neuron cells induced by PCPA and increased neurotransmitter levels of GABA, 5-HT, and Glu in the serum and hypothalamus of insomnia mice. Meanwhile, beta-myrcene exerted an improvement in insomnia by upregulating relevant genes and protein expression in the serotonergic synaptic pathway. These results support the merit of the sedative-hypnotic activity of LEO. Beta-myrcene, a terpene in LEO, may be the main source of its sedative-hypnotic properties. It may serve as a good potential compound in future clinical studies on coping with insomnia.

An integrative pharmacology-based study on the efficacy and mechanism of essential oil of Chaihu Guizhi Decoction on influenza A virus induced pneumonia in mice

Ethnopharmacological relevanceChaihu Guizhi Decoction (CGD) has a long history of use in China for the treatment of influenza, which involves the use of a variety of aromatic herbs. Our previous studies have found that the contents of aromatic constituents in CGD affected the efficacy of treatment of influenza-infected mice, suggesting a clue that essential oil from CGD may play a relatively important role in ameliorating influenza induced pneumonia. Aim of the studyTo evaluate the anti-influenza potential of essential oil derived from Chaihu Guizhi Decoction (CGD-EO), to characterize and predict the key active components in CGD-EO, and to explore the mechanism of action of CGD-EO. Materials and methodsCGD-EO was obtained by steam distillation, and the components of the essential oil were characterized by gas chromatography-mass spectrometry (GC-MS) in conjunction with the retention index. The constituents absorbed into the blood of mice treated with CGD-EO were analyzed by headspace solid phase microextraction gas chromatography/mass spectrometry (HS-SPME-GC/MS). The potential anti-influenza active constituents and their possible action pathway were predicted by simulation using a network pharmacology approach. The protective effect of CGD-EO and its major components on H1N1/PR8-infected cells was determined using the CCK8 assay kit. Mice infected with influenza A virus H1N1/PR8 were administered different doses of CGD-EO orally and the body weights and lung weights were recorded. Mice with varying degrees of H1N1/PR8 infection were administered CGD-EO orally, and their daily weight, water consumption, and clinical indicators were recorded. Necropsies were conducted on days 3 and 5, during which lung weights were measured and lung tissues were preserved. Furthermore, the mRNA expression of the H1N1/PR8 virus and inflammatory factors in lung tissue was analyzed using RT-qPCR. Results(E)-cinnamaldehyde was the most abundant compound in the CGD-EO. The results of serum medicinal chemistry combined with network pharmacological analysis indicated that (E)-cinnamaldehyde and 3-phenyl-2-propenal may be potential active components of the CGD-EO anti-influenza, and may be involved in the NF-κB signalling pathway. In vitro studies have demonstrated that both CGD-EO and cinnamaldehyde exert a protective effect on MDCK cells infected with H1N1/PR8. In a 0.5 TCID50 H1N1/PR8-induced influenza model, mice treated with CGD-EO at a dose of 63.50 μg/kg exhibited a reduction in lung index, pathological lung lesions, and H1N1/PR8 viral gene levels. In addition, CGD-EO treatment was found to regulate the levels of inflammatory cytokines, including IL-6, TNF-α, and IFN-γ. Moreover, following three days of administration, an upregulation of NF-κB mRNA levels in mouse lung tissue was observed in response to CGD-EO treatment. ConclusionsThe findings of our study indicate CGD-EO exerts a protective effect against H1N1-induced cytopathic lesions in vitro and is capable of alleviating H1N1-induced pneumonitis in mice. Moreover, it appears to be more efficacious in the treatment of mild symptoms of H1N1 infection. Studies have demonstrated that CGD-EO has antiviral potential to attenuate influenza-induced lung injury by modulating inflammatory cytokines and NF-κB signalling pathways during the early stages of influenza infection. It is possible that (E)-cinnamaldehyde is a potential active ingredient in the anti-influenza efficacy of CGD-EO.

Potential anti-HIV and antitrypanosomal components revealed in Sorindeia nitidula via LC-ESI-QTOF-MS/MS

Sorindeia nitidula (Anacardiaceae) is used by traditional practitioners to treat influenza illnesses with cephalgia and febrile aches. However, the potential active ingredients for its remarkable antioxidant, anti-HIV and antitrypanosomal activities remain unexplored. The present study aims to evaluate the antioxidant, anti-HIV and antitrypanosomal activities of the ethyl acetate extract of S. nitidula (SN) in order to screen out the bioactive compounds and to analyze their possible mechanisms of action. Overall, 21 phenolic compounds were annotated, by using the MS and MS/MS information provided by the QTOF-MS. In vitro assays on the extract revealed potent antioxidant (IC50 = 0.0129 ± 0.0001 mg/mL), anti-HIV (IC50 = 1.736 ± 0.036 µM), antitrypanosomal (IC50 = 1.040 ± 0.010 µM) activities. Furthermore, SN did not present cytotoxic effect on HeLa cancer cell lines. The integrated strategy based on LC-ESI-QTOF-MS/MS provided a powerful tool and a multidimensional perspective for further exploration of active ingredients in S. nitidula responsible for the antioxidant, anti-HIV and antitrypanosomal activities.

UHPLC-PDA-Q-TOF-MS-α-amylase-FLD activity detection system and molecular docking.

Traditional and some scientific literature document the antidiabetic effects of the Ziziphi Spinosae Semen (ZSS). However, the bioactive compounds of ZSS responsible for the antidiabetic effects are not well known. This study aimed to investigate the material basis of the antidiabetic effects of ZSS by inhibiting α-amylase. An online analysis platform was established and optimized using an ultra-performance liquid chromatography-photo-diode array-quadrupole-time-of-flight-mass spectrometry-α-amylase-fluorescence detector (UHPLC-PDA-Q-TOF-MS-α-amylase-FLD) system to screen α-amylase inhibitors in ZSS rapidly. The inhibitory effect of these compounds was confirmed by molecular docking screening. and the molecular interactions between α-amylase and active compounds were evaluated, which strongly supported the experimental results. Seventy-eight compounds were identified in the ZSS extract, eleven of which were screened to have significant α-amylase binding activity. This study demonstrated the feasibility of using an established platform to screen for effective components in ZSS, providing a practical method for the rapid screening of potential antidiabetic active ingredients in traditional Chinese medicine.

Efficacy and Mechanism of Core Traditional Chinese Medicines for Treating Malignant Lymphoma based on Efficacy Studies: A Study Supported by Network Pharmacology and Molecular Docking.

The burden of malignant lymphoma in China is greater than the global equivalent. The randomized controlled trials provide medical evidence that TCM can improve the response and survival in patients with lymphoma. However, the mechanisms underlying remain undefined. Evidence-based data mining for traditional Chinese medicine (TCM) on improving response and survival in malignant lymphoma treatment was performed in this study. In addition, the mechanisms of TCM through network pharmacology and molecular docking were explored. The China national knowledge infrastructure, Wanfang Data, China Science and Technology Journal Database, PubMed, and Web of Science databases were searched to select TCM formulas with response and survival benefits in the treatment of malignant lymphomas. We then analyzed and visualized the tropism of taste, frequency of drug use, dosage, clustering, association rules mining (minimum support threshold as 0.20, the minimum confidence threshold as 0.80 and lift >1), and complex networks for potential core herb compositions using Excel, IBM SPSS Statistics 26, and IBM SPSS Modeler 18. TCM systems pharmacology, GeneCards, Online Mendelian Inheritance in Man, and other databases were used to screen potential core active ingredients and malignant lymphoma-related targets. The intersection targets were used to construct a protein interaction network using Cytoscape to obtain the key targets. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment were used to analyze the core target, and molecular docking of key components and targets was performed using CB-Dock2. Twenty-four Chinese herbal formulae were included, encompassing 107 herbs with mainly cold and warm properties and bitter and sweet flavors. They were associated with the yin meridians of the liver, spleen, and lungs. The TCMs underwent association rule analysis, identified 27 association rules, including 12 herb pairs and 13 angle medicine, and clustered into eight classes by clustering analysis. Combined with the results from mining analysis, Pinelliae (Ban-xia), Poria (Fu-ling), Atractylodis macrocephalae (Bai-zhu), Curcumae (E-zhu), and Sparganii (San-leng) were the potential core herbs According to network pharmacology and molecular docking, the main core components of the potential core drugs are hederagenin, cerevisterol, 14- acetyl-12-senecioyl-2E,8E,10E-atractylentriol, 12,13-epoxy-9-hydroxynonadeca-7,10-dienoic acid, cavidine, and baicalein. These core drugs are mainly involved in the pathways of EGFR tyrosine kinase inhibitor resistance, PD-1/L1, natural killer cell-mediated cytotoxicity, NF-κB, epithelial cell signaling in H. pylori infections, and Th17 cell differentiation. They aid in regulating the transmembrane receptor protein tyrosine kinase signaling pathway, ERBB signaling pathway, PI3K signaling pathway, and phosphorylation process. Ten key components and eight key targets, including baicalein and hederagenin, demonstrated strong binding activity. Collectively, some core herbs exerted anti-tumor effects through immune and inflammatory pathway modulation, inhibition of immune escape, and induction of cell apoptosis. These findings support future evidence-based research on malignant lymphoma treatment using TCM.

Chemical composition combined with network pharmacology and quality markers analysis for the quality evaluation of Qing-fei-da-yuan granules.

Qing-fei-da-yuan granules (QFDYGs) had been proved to be an effective TCM prescription for treating coronavirus disease 2019 (COVID-19), which are composed of a variety of TCMs, and characterized by multiple components, multiple targets and overall regulation. It is meaningful to further study the chemical composition and pharmacology of QFDYGs for quality evaluation. However, due to the complexity of the components of QFDYGs, there are no reliable and simple analytical methods for current quality evaluation. In this work, antipyretic activity assessment of QFDYGs in the LPS-induced New Zealand rabbit model was carried out to verify the efficacy firstly. It was proved that QFDYGs can be used to relieve fever to help preventing or controlling the prevalence of influenza and pneumonia. Subsequently, UHPLC-ESI-QTOF-MS/MS combined with network pharmacology, quality markers and fingerprint analysis were used to establish the quality control condition. The chemical compositions were analyzed by UHPLC-ESI-QTOF-MS/MS, and 79 of them were identified, such as arecoline, mangiferin, paeoniflorin, etc. Then, the network pharmacology strategy based on 45 candidate components (CCs) in conjunction with influenza and pneumonia diseases was employed to screen the potential active ingredients. According to the drug-CCs-genes-diseases (D-CCs-G-D) networks, baicalein, honokiol, baicalin, paeoniflorin, saikosaponin A, glycyrrhizic acid and hesperidin were selected as quality markers. And a method for content determination of the 7 quality markers was established by optimizing extraction methods, chromatographic conditions and methodological verification. Finally, the quality of 15 batches of QFDYGs was evaluated by using the 7 quality markers combined with fingerprints and principal component analysis (PCA). The analyzed results showed that baicalin, paeoniflorin, glycyrrhizic acid and hesperidin were the high content and stable quality markers. QFDYGs were characterized by overall consistency and individual ingredient differences among the 15 batches. Our quality evaluation study will provide reference for the further development and research of QFDYGs.

Introducing DigiCAT: A digital tool to promote the principled use of counterfactual analysis for identifying potential active ingredients in mental health

Background Given the challenges and resources involved in mental health intervention development and evaluation, it is valuable to obtain early evidence on which intervention targets represent the most promising investments. Observational datasets provide a rich resource for exploring these types of questions; however, the lack of randomisation to treatments in these data means they are vulnerable to confounding issues. Counterfactual analysis refers to a family of techniques within the potential outcomes framework that can help address confounding. In doing so, they can help differentiate potential intervention targets that may reflect genuine active ingredients in mental health from those that are only associated with mental health outcomes due to their common dependence on ‘third variables’. However, counterfactual analysis is rarely used for this purpose and where it is used in health research it is often implemented in a suboptimal fashion. One key reason may be a lack of accessible tutorials and software that embeds best practices. Methods To help promote the principled use of counterfactual analysis we developed DigiCAT. DigiCAT is an open digital tool built in R and Shiny that implements a range of counterfactual analysis methods. It is accompanied by accessible tutorials. The tool has been designed to handle real data, with capabilities for missing data, non-binary treatment effects, and complex survey designs. Results The current article describes the development of DigiCAT, drawing on user and lived experience expert input and provides an overview of its features and examples of its uses. Conclusions Counterfactual analysis could help prioritise intervention targets by establishing which ones remain associated with mental health outcomes after accounting for potential confounding. Accessible digital tools supported by clear guidance may help promote the uptake and principled use of these techniques.

Jiawei Bai-Hu-decoction ameliorated heat stroke-induced brain injury by inhibiting TLR4/NF-κB signal and mitophagy of glial cell

Ethnopharmacological relevanceJiawei Bai-Hu-Decoction (JWBHD), a prescription formulated with seven traditional Chinese medicinal material has demonstrated clinical efficacy in mitigating brain injury among heat stroke (HS) patients. Aim of the studyThis study aimed to evaluate the therapeutic efficacy of JWBHD on rat model of HS and to explore its therapeutic mechanisms by integrating network pharmacology and pharmacodynamic methodologies, which major components were analyzed by using UPLC-MS/MS. Materials and methodsThe network pharmacology analysis was firstly conducted to predict the potential active ingredients and therapeutic targets of JWBHD. The anti-HS effectiveness of JWBHD was then evaluated on rats experienced HS. Rat brain tissues were harvested for a comprehensive array of experiments, including Western blot, PCR, H&E staining, Nissl staining, ELISA, transmission electron microscope, flow cytometry and immunofluorescence to validate the protective effects of JWBHD against HS-induced brain damage. Furthermore, the inhibitory effects of JWBHD on TLR4/NF-κB signal and mitophagy of glial were further verified on HS-challenged F98 cell line. Finally, the chemical compositions of the water extract of JWBHD were analyzed by using UPLC-MS/MS. ResultsNetwork pharmacology has identified fifty core targets and numerous HS-related signaling pathways as potential therapeutic targets of JWBHD. Analysis of protein-protein interaction (PPI) and GO suggests that JWBHD may suppress HS-induced inflammatory signals. In experiments conducted on HS-rats, JWBHD significantly reduced the core temperature, restored blood pressure and alleviated neurological defect. Furthermore, JWBHD downregulated the counts of white blood cells and monocytes, decreased the levels of inflammatory cytokines such as IL-1β, IL-6 and TNF-α in peripheral blood, and suppressed the expression of TLR4 and NF-κB in the cerebral cortex of HS-rats. Besides, JWBHD inhibited the apoptosis of cortical cells and mitigated the damage to the cerebral cortex in HS group. Conversely, overactive mitophagy was observed in the cerebral cortex of HS-rats. However, JWBHD restored the mitochondrial membrane potential and downregulated expressions of mitophagic proteins including Pink1, Parkin, LC3B and Tom20. JWBHD reduced the co-localization of Pink1 and GFAP, a specific marker of astrocytes in the cerebral cortex of HS-rats. In addition, the inhibitory effect of JWBHD on TLR4/NF-κB signaling and overactive mitophagy were further confirmed in F98 cells. Finally, UPLC-MS/MS analysis showed that the main components of JWBHD include isoliquiritigenin, liquiritin, dipotassium glycyrrhizinate, ginsenoside Rb1, ginsenoside Re, etc. ConclusionsJWBHD protected rats from HS and prevented HS-induced damage in the cerebral cortex by suppressing TLR4/NF-κB signaling and mitophagy of glial.

Rapid Screening of Chemical Components in Salvia miltiorrhiza with the Potential to Inhibit Skin Inflammation.

Hyaluronidase possesses the capacity to degrade high-molecular-weight hyaluronic acid into smaller fragments, subsequently initiating a cascade of inflammatory responses and activating dendritic cells. In cases of bacterial infections, substantial quantities of HAase are generated, potentially leading to severe conditions such as cellulitis. Inhibiting hyaluronidase activity may offer anti-inflammatory benefits. Salvia miltiorrhiza Bunge, a traditional Chinese medicine, has anti-inflammatory properties. However, its effects on skin inflammation are not well understood. This study screened and evaluated the active components of S. miltiorrhiza that inhibit skin inflammation, using ligand fishing, enzyme activity assays, drug combination analysis, and molecular docking. By combining magnetic nanomaterials with hyaluronidase functional groups, we immobilized hyaluronidase on magnetic nanomaterials for the first time in the literature. We then utilized an immobilized enzyme to specifically adsorb the ligand; two ligands were identified as salvianolic acid B and rosmarinic acid by HPLC analysis after desorption of the dangling ligands, to complete the rapid screening of potential anti-inflammatory active ingredients in S. miltiorrhiza roots. The median-effect equation and combination index results indicated that their synergistic inhibition of hyaluronidase at a fixed 3:2 ratio was enhanced with increasing concentrations. Kinetic studies revealed that they acted as mixed-type inhibitors of hyaluronidase. Salvianolic acid B had Ki and Kis values of 0.22 and 0.96 μM, respectively, while rosmarinic acid had values of 0.54 and 4.60 μM. Molecular docking revealed that salvianolic acid B had a higher affinity for hyaluronidase than rosmarinic acid. In addition, we observed that a 3:2 combination of SAB and RA significantly decreased the secretion of TNF-α, IL-1, and IL-6 inflammatory cytokines in UVB-irradiated HaCaT cells. These findings identify salvianolic acid B and rosmarinic acid as key components with the potential to inhibit skin inflammation, as found in S. miltiorrhiza. This research is significant for developing skin inflammation treatments. It demonstrates the effectiveness and broad applicability of the magnetic nanoparticle-based ligand fishing approach for screening enzyme inhibitors derived from herbal extracts.