Bergenin Alleviates Ulcerative Colitis By Decreasing Gut Commensal Bacteroides vulgatus-Mediated Elevated Branched-Chain Amino Acids.

Ulcerative colitis is closely associated with the dysregulation of gut microbiota. There is growing evidence that natural products may improve ulcerative colitis by regulating the gut microbiota. In this research, we demonstrated that bergenin, a naturally occurring isocoumarin, significantly ameliorates colitis symptoms in dextran sulfate sodium (DSS)-induced mice. Transcriptomic analysis and Caco-2 cell assays revealed that bergenin could ameliorate ulcerative colitis by inhibiting TLR4 and regulating NF-κB and mTOR phosphorylation. 16S rRNA sequencing and metabolomics analyses revealed that bergenin could improve gut microbiota dysbiosis by decreasing branched-chain amino acid (BCAA) levels. BCAA intervention mediated the mTOR/p70S6K signaling pathway to exacerbate the symptoms of ulcerative colitis in mice. Notably, bergenin greatly decreased the symbiotic bacteria Bacteroides vulgatus (B. vulgatus), and the gavage of B. vulgatus increased BCAA concentrations and aggravated the symptoms of ulcerative colitis in mice. Our findings suggest that gut microbiota-mediated BCAA metabolism plays a vital role in the protective effect of bergenin on ulcerative colitis, providing novel insights for ulcerative colitis prevention through manipulation of the gut microbiota.

Sinomenine ameliorates rheumatoid arthritis by modulating tryptophan metabolism and activating aryl hydrocarbon receptor via gut microbiota regulation.

Gut microbiota dysbiosis is associated with the development of rheumatoid arthritis (RA). Sinomenine (SIN) is an effective immunosuppressive and anti-inflammatory drug used for treating RA, but how SIN regulates gut microbiota to alleviate RA remains underexplored. To identify the critical gut microbial species and microbial metabolites associated with the RA-protective effects of SIN, the microbiota-dependent anti-RA effects of SIN were assessed by 16S rRNA gene sequencing, antibiotic treatment, and fecal microbiota transplantation. Metabolomics analysis, transcriptional analysis, and targeted bacteria/metabolites gavage were conducted to explore how SIN regulates gut microbiota to reduce the severity of RA. SIN could restore intestinal microbial balance by mainly modulating the abundance of Lactobacillus, and significantly relieve collagen-induced arthritis (CIA) symptoms in a gut microbiota-dependent manner. SIN significantly elevated microbial tryptophan metabolites indole-3-acrylic acid (IA), indole-3-propionic acid (IPA), and indole-3-acetic acid (IAA). Tryptophan metabolites supplementation could activate aryl hydrocarbon receptor (AhR) and regulate Th17/Treg balance in CIA rats. Intriguingly, SIN relieved the arthritis symptoms involving the enrichment of two beneficial anti-CIA Lactobacillus species, L. paracasei and L. casei by mono-colonization. The promising therapeutic function of SIN was mostly attributed to the activation of AhR by explicitly targeting the Lactobacillus and microbial tryptophan metabolites. The intestinal bacterium L. paracasei and L. casei may be used to reduce the severity of CIA.

Nobiletin Ameliorates Nonalcoholic Fatty Liver Disease by Regulating Gut Microbiota and Myristoleic Acid Metabolism.

Disturbance of the gut microbiota plays a critical role in the development of nonalcoholic fatty liver disease (NAFLD). Increasing evidence supports that natural products may serve as prebiotics to regulate the gut microbiota in the treatment of NAFLD. In the present study, the effect of nobiletin, a naturally occurring polymethoxyflavone, on NAFLD was evaluated, and metabolomics, 16S rRNA gene sequencing, and transcriptomics analysis were performed to determine the underlying mechanism of nobiletin, and the key bacteria and metabolites screened were confirmed by in vivo experiment. Nobiletin treatment could significantly reduce lipid accumulation in high-fat/high-sucrose diet-fed mice. 16S rRNA analysis demonstrated that nobiletin could reverse the dysbiosis of gut microbiota in NAFLD mice and nobiletin could regulate myristoleic acid metabolism, as revealed by untargeted metabolomics analysis. Treatment with the bacteria Allobaculum stercoricanis, Lactobacillus casei, or the metabolite myristoleic acid displayed a protective effect on liver lipid accumulation under metabolic stress. These results indicated that nobiletin might target gut microbiota and myristoleic acid metabolism to ameliorate NAFLD.

Evolving interplay between natural products and gut microbiota.

Growing evidence suggests gut microbiota status affects human health, and microbiota imbalance will induce multiple disorders. Natural products are gaining increasing attention for their therapeutical effects and less side effects. The emerging studies support that the activities of many natural products are dependent on gut microbiota, meanwhile gut microbiota is modulated by natural products. In this review, we summarized the interplay between the gut microbiota and host disease, and the emerging molecular mechanisms of the interaction between natural products and gut microbiota. Focusing on gut microbiota metabolite of various natural products, and the effects of natural products on gut microbiota, we summarized the biotransformation pathways of natural products, and discussed the effect of natural products on the composition modulation of gut microbiota, protection of gut mucosal barrier and modulation of the gut microbiota metabolites. Dissecting the interplay between gut microbiota and natural products will help elucidate the therapeutic mechanisms of natural products.

Baicalin attenuate diet-induced metabolic syndrome by improving abnormal metabolism and gut microbiota.

In this work, we examined whether baicalin (BC), a bioactive flavonoid in Scutellaria baicalensis Georgi, can reduce high-fat diet (HFD)-induced metabolic syndrome (MetS) in mice. The UPLC-QTOF/MS was used for metabolome profiles analysis, and an analysis of bacterial 16S rDNA in feces was used to examine the effects of BC on gut microbiota composition. Our results showed that BC (400 mg/kg) could reduce the body weight gain, decrease hepatic fat accumulation and abnormal blood lipids, and increase insulin sensitivity after 8 weeks of treatment. BC could reverse the alteration of 7 metabolites induced by HFD and the metabolic pathways responsive to BC intervention including citrate cycle, alanine, aspartate and glutamate metabolism, glycerophospholipid metabolism, and aminoacyl-tRNA biosynthesis. 16S rDNA analysis demonstrated that BC altered the composition and function of gut microbiota in MetS mice. Notably, we found that the change in succinic acid was negatively associated with the changes in Bacteroides and Sutterella, and positively associated with the change in Mucispirillum. Moreover, we confirmed that succinic acid displayed a metabolic protective effect on MetS mice. The antibiotic treatment verified that BC exerts metabolic protection through gut microbiota. Our findings suggested BC may be a potential therapeutic drug to ameliorate diet induced MetS and gut microbiome may be a novel mechanistic target of BC for treatment of MetS.

Spectrum-Effect Relationships Between High-Performance Liquid Chromatography Fingerprints and Hepatoprotective Activities of Cuscutae Semen.

BACKGROUND: Cuscutae Semen (CS) is a commonly used hepatoprotective traditional Chinese medicine, but the chemical components responsible for its hepatoprotective activity are unclear. OBJECTIVE: The purpose of this study was to evaluate the spectrum-effect relationships between HPLC fingerprints and hepatoprotective effects of CS, and to identify its bioactive components. METHODS: Phytochemical isolation of CS extracts was first carried out and 14 potential bioactive compounds were obtained. Chemical fingerprinting was performed on 27 batches of CS from different sources by HPLC, and further analyzed by similarity analysis (SA) and hierarchical clustering analysis (HCA). Pharmacodynamic testing was performed in a CCl4-induced, acute liver injury cell model to assess the hepatoprotective activity of CS by measuring the cell viability and levels of alanine transaminase (ALT) and aspartate aminotransferase (AST). Bivariate correlations analysis (BCA) and orthogonal projections to latent structures (OPLS) were used to analyze the spectrum-effect relationships of CS. RESULTS: The results showed that the chemical fingerprints of CS were closely correlated with its hepatoprotective activity. Peaks 1, 10, 18, 19, 21, 22, and 24 might be potential hepatoprotective compounds in CS, and the validation experiments of isolated compounds indicated that chlorogenic acid (P10), hyperoside (P21), isoquercitrin (P22), and astragalin (P24) were the main hepatoprotective components. CONCLUSION: By combining chemical fingerprints with hepatoprotective evaluation, the present study provides important guidance for QC and clinical use of CS. HIGHLIGHTS: (1) Ten potential bioactive compounds were isolated from CS; (2) The spectrum-effect relationship of CS was molded by HPLC and analysed by OPLS and BCA. (3) Four compounds including chlorogenic acid were the main hepatoprotective components.

Identification of antidiabetic components in Uncariae Rammulus Cum Uncis based on phytochemical isolation and spectrum-effect relationship analysis.

OBJECTIVES: Uncariae Rammulus Cum Uncis (URCU) is a commonly used herbal medicine to treat diabetes. This work is aimed to discover and identify the antidiabetic components from URCU extract. METHODS: Column chromatography and recrystallisation were used to separate individual compounds from URCU extract, and the obtained individual compounds were used for determination of α-glucosidase inhibitory activity. Molecular docking was applied to predict the molecular interactions. High-performance liquid chromatography (HPLC) was used for fingerprint analysis of 12 batches of URCU. HPLC fingerprints were assessed by the similarity analysis (SA) and hierarchical clustering analysis (HCA). The spectrum-effect relationship analysis of URCU was assessed by orthogonal partial least squares (OPLS) and bivariate correlation analysis (BCA). RESULTS: A total of 10 potential bioactive compounds were isolated and six of them showed potent α-glucosidase inhibitory activity (IC50 = 4.21-166.10 µM). The molecular docking results revealed that the binding energy was consistent with the results of α-glucosidase inhibition activity analysis (-8.55 to -4.84 kcal/mol). The ethanol extracts of the 12 batches of URCU showed inhibitory effect on α-glucosidase in a dose-dependent manner, and the IC50 values ranged from 0.94 µg/mL to 12.57 µg/mL. The spectrum-effect relationship analysis results indicated that 13 peaks might be potential antidiabetic compounds in URCU, including 18 (hyperoside) and 19 (rutin). CONCLUSION: A comprehensive connection between URCU chemical components and α-glucosidase inhibitory activity was established for the first time by using a spectrum-effect relationship model, which might be applicable to the quality control of URCU.

Network pharmacology analysis and experimental validation to explore the mechanism of sea buckthorn flavonoids on hyperlipidemia.

ETHNOPHARMACOLOGICAL RELEVANCE: Sea buckthorn is popularly used as a herbal medicine and food additive in the world. Sea buckthorn flavonoids (SF) is reported to have an ameliorative effect on obesity and hyperlipidemia (HLP). AIM: To identify the major bioactive compounds and the lipid-lowering mechanism of SF. METHODS: We used network pharmacology analysis and in vitro experiments to identify the major bioactive compounds and the lipid-lowering mechanism of SF. RESULTS: A total of 12 bioactive compounds, 60 targets related to SF and HLP were identified, and a component-target-disease network was constructed. The KEGG analysis revealed that SF regulated cholesterol metabolism, fat digestion and absorption, and PPAR signaling pathways in HLP. The experimental validation indicated that sea buckthorn flavonoids extract (SFE) and 4 bioactive compounds reduced lipid droplet accumulation, up-regulated the mRNA expression of PPAR-γ, PPAR-α, ABCA1 and CPT1A, etc, down-regulated SREBP-2 and its target gene LDLR, which are closely related to cholesterol conversion into bile acids, de novo synthesis and fatty acids oxidation. The major bioactive flavonoid isorhamnetin (ISOR) also increased the protein expression of PPAR-γ, LXRα and CYP7A1. CONCLUSION: SF might promote cholesterol transformation into bile acids and cholesterol efflux, inhibit cholesterol de novo synthesis and accelerate fatty acids oxidation for ameliorating HLP.

Network pharmacology approach to elucidate possible action mechanisms of Sinomenii Caulis for treating osteoporosis.

ETHNOPHARMACOLOGICAL RELEVANCE: Sinomenii Caulis (SC) is a well-konwn traditional Chinese medicine used for treatment of rheumatoid arthritis (RA), dermatophytosis and paralysis. Patients with RA are usually secondary to osteoporosis, but the potential protective effect of SC on osteoporosis (OP) is seldom reported and its possible action mechanism is little known. AIM: The purpose of this study was to demonstrate the anti-osteoporosis effects of SC extract and alkaloids in prednisolone (Pre)-induced OP of zebrafish, and then to explore the potential mechanism of SC on system level by network pharmacology. METHODS: Firstly, zebrafish OP model was established to investigate the anti-osteoporosis effect of SC. Secondly, the targets of SC and OP from multiple databases were collected, and Compound-Target-Pathway network based on protein-protein interaction (PPI) was constructed. Moreover, gene enrichment and annotation were performed via the DAVID server. Finally, the reliability of the network pharmacology prediction results in Pre-induced OP of zebrafish was verified by qRT-PCR. RESULTS: The results indicated that SC extract and alkaloids have remarkable ability to promote bone formation of cranial bones and reduce TRAP contents in Pre-induced OP of zebrafish. 32 OP-related ingredients in SC and 77 OP-related targets were screened from multiple databases, and 15 OP-related pathways were enriched by the KEGG database. Further experimental validation indicated that SC extract and alkaloids could regulate the expression of MAPK14, CASP3, CXCL8, IL-1ß, IL6, PTGS2, TNF-α, ESR1, and MMP9 for treatment of OP. CONCLUSION: In summary, we conducted an integrative analysis to provide convincing evidence that SC may partially alleviate OP by inhibiting pro-inflammatory cytokines and regulating of RANK/RANKL/OPG system.

The mechanisms of baicalin ameliorate obesity and hyperlipidemia through a network pharmacology approach.

Obesity is one of the main causes of human cardiovascular and cerebrovascular diseases. Baicalin, a bioactive flavonoid isolated from the herbal medicine Scutellaria baicalensis Georgi, is reported to ameliorate obesity and hyperlipidemia. However, its mechanism remains unclear. Here, we used network pharmacology to explore the potential mechanism of baicalin on a system level. First, we predicted the targets of baicalin and diseases, and then protein-protein interaction (PPI) networks were constructed. Moreover, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment was performed via the Database for Annotation, Visualization, and Integrated Discovery (DAVID) server. Lastly, we confirmed the results of the network analysis by palmitic acid (PA) treated human hepatoma cells (HepG2) in vitro. The results indicated that 37 targets related to obesity treated by baicalin were predicted by network pharmacology, and top 10 related pathways were extracted by the KEGG database. Baicalin treatment could reduce triglyceride (TG) contents and lipid droplet accumulation in PA-treated HepG2 cells. The anti-obesity effects of baicalin might be due to the up-regulation of solute carrier family 2 member 1 (SLC2A1) and down-regulation of tumor necrosis factor (TNF), nuclear factor kappa B subunit 1 (NFKB1), sterol regulatory element binding transcription factor 1 (SREBF1), peroxisome proliferator activated receptor gamma and caspase 3 (CASP3). Our results indicated that baicalin may regulate key inflammatory markers, adipogenesis process, and apoptosis for treatment of obesity.

Integration of Zebrafish Model and Network Pharmacology to Explore Possible Action Mechanisms of Morinda officinalis for Treating Osteoporosis.

Osteoporosis (OP) is a metabolic bone disease affecting nearly 200 million individuals globally. Morinda officinalis F.C.How (MOH) has long been used as a traditional herbal medicine for the treatment of bone fractures and joint diseases in China. However, it still remains unclear how the compounds in MOH work synergistically for treating OP. In this study, we used prednisolone (PNSL)-induced zebrafish OP model to screen the antiosteoporosis components in MOH. A network pharmacology approach was further proposed to explore the underlying mechanism of MOH on OP. The PNSL-induced zebrafish model validated that two anthraquinones, one iridoid glycoside, and two saccharides exerted antiosteoporotic effect. We constructed the components-targets network and obtained the enriched Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. A total of 26 candidate compounds of MOH and 257 related targets could probably treat OP through regulating osteoclast differentiation and MAPK signaling pathway. Our work developed a strategy to screen the antiosteoporosis components and explore the underlying mechanism of MOH for treating OP at a network pharmacology level.

Development and validation of a supercritical fluid chromatography method for fast analysis of six flavonoids in Citri Reticulatae Pericarpium.

The study is aimed to develop a rapid and efficient supercritical fluid chromatography coupled with diode-array detection (SFC-DAD) method for simultaneous quantification of six flavonoids in Citri Reticulatae Pericarpium (CRP). The chromatographic parameters including stationary phase, mobile phase composition, back pressure, temperature and flow rate, were systematically optimized with single-factor test. The results indicated that the six compounds were baseline separated on an Agilent Zorbax RX-SIL column using gradient elution within 10 min. The optimized mobile phase was constituted of carbon dioxide (CO2) and methanol. And the parameters were set as follows: backpressure, 95 bar; temperature, 45 °C; flow rate, 0.8 mL/min. The optimized method showed satisfactory retention and resolution for the analytes. The method was validated to demonstrate its selectivity, linearity, precision, accuracy and robustness. Thus, the verified SFC method was successfully applied to quantification of flavonoids present in CRP samples. The results indicated that SFC has the potential to become an excellent alternative for the analysis of flavonoids in herbal medicines, owning to its intrinsic features like high efficiency, separation speed and eco-friendly characteristics.

Rapid profiling of alkaloid analogues in Sinomenii Caulis by an integrated characterization strategy and quantitative analysis.

Alkaloids, the principal constituents in the caulis of Sinomenium acutum, have gained an increasing interest over the past decades since they are widely employed as a clinical treatment for rheumatoid arthritis. In the present study, an integrated characterization strategy by combining mass defect filtering-based structure classification (MDFSC) and diagnostic fragment-ion-based extension (DFIBE) was firstly proposed for rapid profiling of alkaloids in Sinomenii Caulis (SC) via ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS). The rectangular MDFSC window could more accurately screen the target alkaloids of different types, and the DFIBE could facilitate the acquisition of characteristic fragment ions for structural elucidation of alkaloids. High-performance liquid chromatography (HPLC) fingerprints with principal component analysis (PCA) and hierarchical clustering analysis (HCA) was established for identifying the chemical markers and simultaneous determination of sinomenine, magnoflorine, menisperine, stepharanine and ehydrodiscretine. A total of 91 alkaloids, including 82 targeted ones (26 morphinans, 22 aporphines, 20 protoberberines and 14 benzylisoquinolines) were unambiguously identified or tentatively characterized in SC, and 14 of them were reported for the first time. Sinomenine and magnoflorine could be selected as chemical markers to evaluate the quality of SC from different localities. In conclusion, the proposed method provided a potential approach for chemical profiling and holistic quality control of herbal medicines.

Identification of anti-inflammatory components in Sinomenii Caulis based on spectrum-effect relationship and chemometric methods.

The present study aimed to identify the anti-inflammatory components in Sinomenii Caulis (SC) based on spectrum-effect relationship and chemometric methods. A phytochemical investigation of SC extract was performed firstly and afforded eleven potential bioactive compounds. The HPLC fingerprints of 19 batches of SC samples were evaluated by the chemometric methods such as similarity analysis (SA) and hierarchical clustering analysis (HCA). The anti-inflammatory effects of these samples were determined by inhibition of Nitric Oxide (NO) production. Partial least squares regression (PLSR) and artificial neural network (ANN) were used to explore the spectrum-effect relationship of SC. The results indicated that there was a close correlation between chemical fingerprint and anti-inflammatory activity of SC, and peaks 8, 9, 12, 13, 14, 16, 19 and 22 might be potential anti-inflammatory compounds in SC. The verification experiments by testing individual compounds and a combination of them indicated that sinomenine (P8), magnoflorine (P13), menisperine (P16) and stepharanine (P19) were the major anti-inflammatory compounds in SC. Collectively, the present study established the spectrum-effect relationship mode of SC and discovered the anti-inflammatory compounds in SC, which could be used for exploration of bioactive components and quality control of herbal medicines.

Studies on Chromatographic Fingerprint and Fingerprinting Profile-Efficacy Relationship of Saxifraga stolonifera Meerb.

This work investigated the spectrum-effect relationships between high performance liquid chromatography (HPLC) fingerprints and the anti-benign prostatic hyperplasia activities of aqueous extracts from Saxifraga stolonifera. The fingerprints of S. stolonifera from various sources were established by HPLC and evaluated by similarity analysis (SA), hierarchical clustering analysis (HCA) and principal component analysis (PCA). Nine samples were obtained from these 24 batches of different origins, according to the results of SA, HCA and the common chromatographic peaks area. A testosterone-induced mouse model of benign prostatic hyperplasia (BPH) was used to establish the anti-benign prostatic hyperplasia activities of these nine S. stolonifera samples. The model was evaluated by analyzing prostatic index (PI), serum acid phosphatase (ACP) activity, concentrations of serum dihydrotestosterone (DHT), prostatic acid phosphatase (PACP) and type II 5α-reductase (SRD5A2). The spectrum-effect relationships between HPLC fingerprints and anti-benign prostatic hyperplasia activities were investigated using Grey Correlation Analysis (GRA) and partial least squares regression (PLSR). The results showed that a close correlation existed between the fingerprints and anti-benign prostatic hyperplasia activities, and peak 14 (chlorogenic acid), peak 17 (quercetin 5-O-ß-d-glucopyranoside) and peak 18 (quercetin 3-O-ß-l-rhamno-pyranoside) in the HPLC fingerprints might be the main active components against anti-benign prostatic hyperplasia. This work provides a general model for the study of spectrum-effect relationships of S. stolonifera by combing HPLC fingerprints with a testosterone-induced mouse model of BPH, which can be employed to discover the principle components of anti-benign prostatic hyperplasia bioactivity.