Optimization of metabolomics pretreatment method of cholangiocarcinoma cells based on ultrahigh performance liquid chromatography coupled with mass spectrometry.

Metabolomics intends to maximize the quantity of available metabolites for the global metabolome, which largely depends on sample pretreatment protocols. However, there are few studies that comprehensively examined the effects of extraction and reconstitution solvents on metabolome coverage of adherent mammalian cells. In this study, the human cholangiocarcinoma TFK-1 cells were chosen as a cell model, and eight extraction solvents and five reconstitution solvents were used for the pretreatment based on ultrahigh performance liquid chromatography coupled with mass spectrometry (UPLC/MS). The coverage, reproducibility, and stability of the data were norms to evaluate the effectiveness of different extraction solvents and reconstitution solvents. Based on the number of metabolites, the mean Euclidean distance (EDMEAN) in the principal component analysis (PCA) 3D score plots and the relative standard deviation (RSD) distribution of metabolites, it was demonstrated that MeOH-CHCl3-H2O (8:1:1, v/v/v) was the optimal extraction solvent and MeOH-H2O (1:1, v/v) or H2O was superior to other reconstitution solvents for RP column analysis, and the extraction solvent MeOH-ACN-H2O (2:2:1, v/v/v) and the reconstitution solvents ACN-H2O (4:1, v/v) or MeOH-H2O (1:1, v/v) provide the best performance for HILIC column analysis. The optimized pretreatment methods explored in this study expand the coverage of polar and non-polar metabolites and improve the reproducibility and stability of the metabolic data, which can be applied to UPLC/MS-based global metabolomics study on cholangiocarcinoma cells, potentially providing better extraction solvents and reconstitution solvents for other adherent mammalian cells with similar chemical and physical properties.

iTRAQ-based proteomic analysis reveals the effect of ribosomal proteins on essential-oil accumulation in Houttuynia cordata Thunb.

Houttuynia cordata Thunb., also known as Yuxingcao in Chinese, occupies a pivotal role in Asian traditional medicine and cuisine. The aerial parts and underground stems of H. cordata exhibit remarkable chemical diversity, particularly in essential oil. Nevertheless, the mechanisms regulating essential oil biosynthesis in H. cordata remain unclear. In this study, we present a quantitative overview of the proteomes across four tissues (flower, stem, leaf, and underground stem) of H. cordata, achieved through the application of the isobaric tag for relative and absolute quantitation (iTRAQ). Our research findings indicate that certain crucial ribosomal proteins and their interactions may significantly impact the production of essential oils in H. cordata. These results offer novel insights into the roles of ribosomal proteins and their associations in essential oil biosynthesis across various organisms of H. cordata.

A novel standard-free detection of adulteration method for sildenafil derivatives in dietary supplements.

The rapid and accurate detection of illegal adulteration of chemical drugs into dietary supplements is a big challenge in the food chemistry field. Detection of compounds without a standard reference is even more difficult; however, this is a common situation. Here in this study, a novel "standard-free detection of adulteration" (SFDA) method was proposed and phosphodiesterase-5 inhibitor derivatives were used as an example to figure out the possibility and reliability of this SFDA method. After analysis by quadrupole coupled time of flight-tandem mass spectrometry detection and multivariable statistics, six common fragment ions were chosen to indicate whether adulteration was present or not, while 20 characteristic fragment ions indicated whether adulteration was by nitrogen-containing heterocycles or by anilines. Furthermore, the quantitative methods were conducted by high-performance liquid chromatography-tandem mass spectrometry. In a word, this strategy allows for a quick determination of dietary supplement adulteration without any need for standard materials, improving the efficacy of food safety testing.

A new surface plasmon resonance-based immunoassay for rapid and sensitive quantification of D-dimer in human plasma for thrombus screening.

D-dimer is a protein fragment generated during the fibrin breakdown by plasmin, and it serves as a mature biomarker for diagnosing thrombotic disorders. A novel immunoassay method based on surface plasmon resonance (SPR) has been developed, validated, and successfully applied for the quantification of D-dimer in human plasma with high sensitivity and rapidity. In this methodological study, we investigated the activity and stability of the SPR biosensor, sample pre-processing, washing conditions, intra-day and inter-day precision and accuracy and detection parameters, including a limit of detection of 8.3 ng/mL, a detection range spanning from 31.25 to 4000 ng/mL, and a detection time of 20 min. We compared D-dimer plasma concentration determination results using SPR with a classical latex-enhanced immunoturbidimetric immunoassay in 29 healthy individuals and thrombotic patients, and both methods exhibited consistency. Furthermore, we propose a hypothesis about the relationship between the concentration of D-dimer and its molecular weight. With an increase in the D-dimer concentration in plasma, the D-dimer approaches its simplest form (190 kDa).

A dual-target SPR screening system for simultaneous ligand discovery of SARS-CoV-2 spike protein and its receptor ACE2 from Chinese herbs.

Traditional Chinese Medicine (TCM) is a supremely valuable resource for the development of drug discovery. Few methods are capable of hunting for potential molecule ligands from TCM towards more than one single protein target. In this study, a novel dual-target surface plasmon resonance (SPR) biosensor was developed to perform targeted compound screening of two key proteins involved in the cellular invasion process of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2): the spike (S) protein receptor binding domain (RBD) and the angiotensin-converting enzyme 2 (ACE2). The screening and identification of active compounds from six Chinese herbs were conducted taking into consideration the multi-component and multi-target nature of Traditional Chinese Medicine (TCM). Puerarin from Radix Puerariae Lobatae was discovered to exhibit specific binding affinity to both S protein RBD and ACE2. The results highlight the efficiency of the dual-target SPR system in drug screening and provide a novel approach for exploring the targeted mechanisms of active components from Chinese herbs for disease treatment.

A metabolomics approach reveals metabolic disturbance of human cholangiocarcinoma cells after parthenolide treatment.

ETHNOPHARMACOLOGICAL RELEVANCE: Tanacetum parthenium (L.) Schultz-Bip, commonly known as feverfew, has been traditionally used to treat fever, migraines, rheumatoid arthritis, and cancer. Parthenolide (PTL), the main bioactive ingredient isolated from the shoots of feverfew, is a sesquiterpene lactone with anti-inflammatory and antitumor properties. Previous studies showed that PTL exerts anticancer activity in various cancers, including hepatoma, cholangiocarcinoma, acute myeloid leukemia, breast, prostate, and colorectal cancer. However, the metabolic mechanism underlying the anticancer effect of PTL remains poorly understood. AIM OF THE STUDY: To explore the anticancer activity and underlying mechanism of PTL in human cholangiocarcinoma cells. MATERIAL AND METHODS: In this investigation, the effects and mechanisms of PTL on human cholangiocarcinoma cells were investigated via a liquid chromatography/mass spectrometry (LC/MS)-based metabolomics approach. First, cell proliferation and apoptosis were evaluated using cell counting kit-8 (CCK-8), flow cytometry analysis, and western blotting. Then, LC/MS-based metabolic profiling along with orthogonal partial least-squares discriminant analysis (OPLS-DA) has been constructed to distinguish the metabolic changes between the negative control group and the PTL-treated group in TFK1 cells. Next, enzyme-linked immunosorbent assay (ELISA) was applied to investigate the changes of metabolic enzymes associated with significantly alerted metabolites. Finally, the metabolic network related to key metabolic enzymes, metabolites, and metabolic pathways was established using MetaboAnalyst 5.0 and Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway Database. RESULTS: PTL treatment could induce the proliferation inhibition and apoptosis of TFK1 in a concentration-dependent manner. Forty-three potential biomarkers associated with the antitumor effect of PTL were identified, which primarily related to glutamine and glutamate metabolism, alanine, aspartate and glutamate metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, arginine biosynthesis, arginine and proline metabolism, glutathione metabolism, nicotinate and nicotinamide metabolism, pyrimidine metabolism, fatty acid metabolism, phospholipid catabolism, and sphingolipid metabolism. Pathway analysis of upstream and downstream metabolites, we found three key metabolic enzymes, including glutaminase (GLS), γ-glutamyl transpeptidase (GGT), and carnitine palmitoyltransferase 1 (CPT1), which mainly involved in glutamine and glutamate metabolism, glutathione metabolism, and fatty acid metabolism. The changes of metabolic enzymes associated with significantly alerted metabolites were consistent with the levels of metabolites, and the metabolic network related to key metabolic enzymes, metabolites, and metabolic pathways was established. PTL may exert its antitumor effect against cholangiocarcinoma by disturbing metabolic pathways. Furthermore, we selected two positive control agents that are considered as first-line chemotherapy standards in cholangiocarcinoma therapy to verify the reliability and accuracy of our metabolomic study on PTL. CONCLUSION: This research enhanced our comprehension of the metabolic profiling and mechanism of PTL treatment on cholangiocarcinoma cells, which provided some references for further research into the anti-cancer mechanisms of other drugs.

Multi-omics landscape to decrypt the distinct flavonoid biosynthesis of Scutellaria baicalensis across multiple tissues.

Scutellaria baicalensis Georgi, also known as huang-qin in traditional Chinese medicine, is a widely used herbal remedy due to its anticancer, antivirus, and hepatoprotective properties. The S. baicalensis genome was sequenced many years ago; by contrast, the proteome as the executer of most biological processes of S. baicalensis in the aerial parts, as well as the secondary structure of the roots (xylem, phloem, and periderm), is far less comprehensively characterized. Here we attempt to depict the molecular landscape of the non-model plant S. baicalensis through a multi-omics approach, with the goal of constructing a highly informative and valuable reference dataset. Furthermore, we provide an in-depth characterization dissection to explain the two distinct flavonoid biosynthesis pathways that exist in the aerial parts and root, at the protein and phosphorylated protein levels. Our study provides detailed spatial proteomic and phosphoproteomic information in the context of secondary structures, with implications for the molecular profiling of secondary metabolite biosynthesis in non-model medicinal plants.

Iron deficiency in hepatocellular carcinoma cells induced sorafenib resistance by upregulating HIF-1α to inhibit apoptosis.

Sorafenib is the first-line therapeutic agent for hepatocellular carcinoma (HCC), but the drug resistance has become a major impediment. Previously we found that the abnormal iron metabolism in HCC led to iron deficiency, whether it induces sorafenib resistance during the treatment of HCC is not yet disclosed. In this study, we observed the effects of iron deficiency on sorafenib resistance and explored the underlying mechanisms. The results revealed that the killing effects of sorafenib on HCC cells were weakened by iron deficiency but effectively restored by iron re-supplementation. The ferroptosis indicators, including the contents of lipid hydroperoxide (LPO) and malondialdehyde (MDA), the level of intracellular reactive oxygen species (ROS), and the expression of glutathione peroxidase 4 (GPX4), were not significantly changed by iron deficiency in sorafenib-treated HCC cells. However, the sorafenib-induced apoptosis of HCC cells was inhibited by iron deficiency. Notably, the expression of anti-apoptotic protein B-cell lymphoma-2 (BCL-2) was elevated, and the expressions of other apoptotic proteins, BCL2-associated X (Bax), caspase-3, and caspase-9, were inhibited by iron deficiency. Mechanistically, iron deficiency upregulated hypoxia-inducible factor 1 alpha (HIF-1α) to increase BCL-2. Inhibition of HIF-1α suppressed the iron deficiency-induced BCL-2 and sorafenib resistance. In summary, iron deficiency in HCC cells generated sorafenib resistance by increasing HIF-1α and BCL-2, which therefore inhibited the sorafenib-induced apoptosis of HCC cells. These results identified iron deficiency as a new factor of sorafenib resistance in HCC cells, which would be an effective target to alleviate sorafenib resistance.

I n situ synthesis and unidirectional insertion of membrane proteins in liposome-immobilized silica stationary phase for rapid preparation of microaffinity chromatography.

Cell membrane affinity chromatography has been widely applied in membrane protein (MP)-targeted drug screening and interaction analysis. However, in current methods, the MP sources are derived from cell lines or recombinant protein expression, which are time-consuming for cell culture or purification, and also difficult to ensure the purity and consistent orientation of MPs in the chromatographic stationary phase. In this study, a novel in situ synthesis membrane protein affinity chromatography (iSMAC) method was developed utilizing cell-free protein expression (CFE) and covalent immobilized affinity chromatography, which achieved efficient in situ synthesis and unidirectional insertion of MPs into liposomes in the stationary phase. The advantages of iSMAC are: 1) There is no need to culture cells or prepare recombinant proteins; 2) Specific and purified MPs with stable and controllable content can be obtained within 2 h; 3) MPs maintain the transmembrane structure and a consistent orientation in the chromatographic stationary phase; 4) The flexible and personalized construction of cDNAs makes it possible to analyze drug binding sites. iSMAC was successfully applied to screen PDGFRß inhibitors from Salvia miltiorrhiza and Schisandra chinensis. Micro columns prepared by in-situ synthesis maintain satisfactory analysis activity within 72 h. Two new PDGFRß inhibitors, salvianolic acid B and gomisin D, were screened out with K D values of 13.44 and 7.39 µmol/L, respectively. In vitro experiments confirmed that the two compounds decreased α-SMA and collagen Ӏ mRNA levels raised by TGF-ß in HSC-T6 cells through regulating the phosphorylation of p38, AKT and ERK. In vivo, Sal B could also attenuate CCl4-induced liver fibrosis by downregulating PDGFRß downstream related protein levels. The iSMAC method can be applied to other general MPs, and provides a practical approach for the rapid preparation of MP-immobilized or other biological solid-phase materials.

A multi-omics study of the anti-cancer effect of a ferulic acid derivative FA-30.

The active ingredients of Traditional Chinese Medicine are an important source of bioactive molecules and play an important role in the research and development of innovative drugs. FA-30, which is a derivative of natural product ferulic acid, inhibited cervical cancer cell proliferation and induced apoptosis as well. To understand the underlying mechanisms of FA-30, a complementary multi-omics study was conducted. Cysteine and methionine metabolism and aminoacyl-tRNA biosynthesis pathways were significantly changed both at the metabolic level and proteomic level. This may help us to get a better understanding of cervical cancer and FA-30 at the same time.

A strategy of screening and binding analysis of bioactive components from traditional Chinese medicine based on surface plasmon resonance biosensor.

Elucidating the active components of traditional Chinese medicine (TCM) is essential for understanding the mechanisms of TCM and promote its rational use as well as TCM-derived drug development. Recent studies have shown that surface plasmon resonance (SPR) technology is promising in this field. In the present study, we propose an SPR-based integrated strategy to screen and analyze the major active components of TCM. We used Radix Paeoniae Alba (RPA) as an example to identify the compounds that can account for its anti-inflammatory mechanism via tumor necrosis factor receptor type 1 (TNF-R1). First, RPA extraction was analyzed using an SPR-based screening system, and the potential active ingredients were collected, enriched, and identified as paeoniflorin and paeonol. Next, the affinity constants of paeoniflorin and paeonol were determined as 4.9 and 11.8 µM, respectively. Then, SPR-based competition assays and molecular docking were performed to show that the two compounds could compete with tumor necrosis factor-α (TNF-α) while binding to the subdomain 1 site of TNF-R1. Finally, in biological assays, the two compounds suppressed cytotoxicity and apoptosis induced by TNF-α in the L929 cell line. These findings prove that SPR technology is a useful tool for determining the active ingredients of TCM at the molecular level and can be used in various aspects of drug development. The SPR-based integrated strategy is reliable and feasible in TCM studies and will shed light on the elucidation of the pharmacological mechanism of TCM and facilitate its modernization.

Metabolomic profiling of cerebrospinal fluid reveals an early diagnostic model for central nervous system involvement in acute lymphoblastic leukaemia.

The pathogenesis of central nervous system involvement (CNSI) in patients with acute lymphoblastic leukaemia (ALL) remains unclear and a robust biomarker of early diagnosis is missing. An untargeted cerebrospinal fluid (CSF) metabolomics analysis was performed to identify independent risk biomarkers that could diagnose CNSI at the early stage. Thirty-three significantly altered metabolites between ALL patients with and without CNSI were identified, and a CNSI evaluation score (CES) was constructed to predict the risk of CNSI based on three independent risk factors (8-hydroxyguanosine, l-phenylalanine and hypoxanthine). This predictive model could diagnose CNSI with positive prediction values of 95.9% and 85.6% in the training and validation sets respectively. Moreover, CES score increased with the elevated level of central nervous system (CNSI) involvement. In addition, we validated this model by tracking the changes in CES at different stages of CNSI, including before CNSI and during CNSI, and in remission after CNSI. The CES showed good ability to predict the progress of CNSI. Finally, we constructed a nomogram to predict the risk of CNSI in clinical practice, which performed well compared with observed probability. This unique CSF metabolomics study may help us understand the pathogenesis of CNSI, diagnose CNSI at the early stage, and sequentially achieve personalized precision treatment.

Investigation of the apoptosis-inducing effect of docetaxel by comprehensive LC-MS-based metabolomics and network pharmacology approaches.

Docetaxel is one of the clinical first-line drugs and its combination with other chemotherapy agents for advanced or metastatic cancers has attracted widespread attention. Therefore, to promote the clinical application of docetaxel alone or in combination, a comprehensive investigation of the metabolic mechanism of docetaxel is of great importance. Here, we apply an integrative analysis of metabolomics and network pharmacology to elucidate the underlying mechanisms of docetaxel. After taking the intersection of the aforesaid two methods, five pathways including ABC (ATP-binding cassette) transporters, central carbon metabolism in cancer, glycolysis and gluconeogenesis, cysteine and methionine metabolism, and arginine biosynthesis have been screened. Concerning the interaction network of these pathways and the anti-apoptosis effect of docetaxel itself, the central carbon metabolism in cancer pathway was mainly focused on. This study may help delineate global landscapes of cellular protein-metabolite interactions, to provide molecular insights about their mechanisms of action as well as to promote their clinical applications.

Development of a surface plasmon resonance biosensor for accurate and sensitive quantitation of small molecules in blood samples.

Therapeutic drug monitoring (TDM) has played an important role in clinical medicine for precise dosing. Currently, chromatographic technology and immunoassay detection are widely used in TDM and have met most of the needs of clinical drug therapy. However, some problems still exist in practical applications, such as complicated operation and the influence of endogenous substances. Surface plasmon resonance (SPR) has been applied to detect the concentrations of small molecules, including pesticide residues in crops and antibiotics in milk, which indicates its potential for in vivo drug detection. In this study, a new SPR-based biosensor for detecting chloramphenicol (CAP) in blood samples was developed and validated using methodological verification, including precision, accuracy, matrix effect, and extraction recovery rate, and compared with the classic ultra-performance liquid chromatography-ultraviolet (UPLC-UV) method. The detection range of SPR was 0.1-50 ng/mL and the limit of detection was 0.099 ± 0.023 ng/mL, which was lower than that of UPLC-UV. The intra-day and inter-day accuracies of SPR were 98%-114% and 110%-122%, which met the analysis requirement. The results show that the SPR biosensor is identical to UPLC-UV in the detection of CAP in rat blood samples; moreover, the SPR biosensor has better sensitivity. Therefore, the present study shows that SPR technology can be used for the detection of small molecules in the blood samples and has the potential to become a method for therapeutic drug monitoring.

Non-target metabolomic analysis reveals the therapeutic effect of Saposhnikovia divaricata decoction on collagen-induced arthritis rats.

ETHNOPHARMACOLOGICAL RELEVANCE: Saposhnikovia divaricata (SD), a Chinese crude drug, has long been recognized for therapeutic effect to rheumatoid arthritis (RA). At present, the mechanisms of SD treatment in RA have not been fully understood especially on the perspective of metabolomics. AIM OF THE STUDY: To study the pharmacodynamic effects of Saposhnikovia divaricata decoction on CIA rats, and explore the therapeutic mechanism by metabolomics methods. MATERIALS AND METHODS: Wistar rats were randomly divided into normal group, CIA model group, dexamethasone group and SD decoction groups (10 g crude drug/kg, 5 g crude drug/kg and 2.5 g crude drug/kg of SDD). Body weight, arthritis scores, serum cytokine levels and histopathological parameters of rats were assessed. A metabolomics method based on ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOFMS) was established to collect the metabolic profiles of rats and explore the metabolic changes that occurred after SDD treatment. RESULTS: SDD showed its protective effect on the affected joints, especially in the middle dosage group of SDD. Eighteen and 13 potential biomarkers for the SDD treatment of CIA rats were identified in the plasma and urine, respectively. SDD could regulate the disturbed metabolic pathways including tryptophan metabolism, glycerophospholipid catabolism, primary bile acid biosynthesis and fatty acid metabolism. CONCLUSIONS: In summary, SDD treatment could effectively alleviate symptoms of RA and regulate metabolic disorders in CIA rats.

Mild iron overload induces TRIP12-mediated degradation of YY1 to trigger hepatic inflammation.

Increasing populations are found to bear mild hepatic iron overload (HIO) due to unhealthy lifestyles, metabolic diseases, etc., whether this mild but chronic HIO induces hepatic inflammation is unknown. In the present study, mice receiving a 12-months 0.3% dextran-iron diet show mild HIO with no detectable oxidative damages in the liver but have infiltrated macrophages and increased IL-6, TNFα, AST and ALT since 6-months. The HNF4α/miR-122/CCL2 pathway, identified by our previous studies to induce macrophages infiltration, is initiated by chronic mild HIO. After excluding the role of DNA methylation, a modified transcription factor microarray is applied to find that transcription factor YY1 is responsible for HIO-decreased HNF4α expression. Then the E3 ubiquitin ligase TRIP12 is identified by an immunoprecipitation coupled LC-MS/MS and proved to bind and ubiquitinate YY1, leading to its degradation. The overexpression or silence of YY1 in the liver regulates the HNF4α/miR-122/CCL2 pathway. More importantly, YY1 overexpression alleviates chronic mild HIO induced hepatic inflammatory responses. In conclusion, these results elucidate an oxidative-stress-independent, TRIP12/YY1/HNF4α/miR-122/CCL2 pathway of chronic mild HIO inducing hepatic inflammation, implying that effective measures in addition to antioxidants are needed for individuals at the risk of chronic mild HIO.

SLC46A1 contributes to hepatic iron metabolism by importing heme in hepatocytes.

BACKGROUND: Iron is finely regulated due to its vital roles in organisms and the peroxidase reactivity if excess. Solute Carrier Family 46 Member 1 (SLC46A1), also named PCFT or HCP1, is the main importer of heme­iron in the intestine, but has a high abundance in the liver. Since the liver has a central role in iron homeostasis, whether SLC46A1 regulates hepatic iron metabolism is of interest to be identified. METHODS: The recombinant adeno-associated virus vectors were used to hepatic-specifically inhibit SLC46A1 expression to observe its effects on hepatic iron metabolism. Then the abilities of SLC46A1 in importing heme and folate, and consequent alterations of iron content in hepatocytes were determined. Furthermore, effects of iron on SLC46A1 expression were investigated both in vitro and in vivo. RESULTS: The hepatocyte-specific inhibition of SLC46A1 decreases iron content in the liver and increases iron content in serum. Expressions of iron-related molecules, transferrin receptor 1, hepcidin and ferroportin, are correspondingly altered. Interestingly, free heme concentration in serum is increased, indicating a decreased import of heme by the liver. In hepatocytes, SLC46A1 is capable of importing hemin, increasing intracellular iron content. The import of hemin by SLC46A1 is unaffected by its other substrate, folate. Instead, hemin treatment decreases SLC46A1 expression, reducing the import of folate. In addition, SLC46A1 itself shows to be iron-responsive both in vivo and in vitro, making it available for regulating iron metabolism. CONCLUSION: The results elucidate that SLC46A1 regulates iron metabolism in the liver through a folate-independent manner of importing heme. The iron-responsive characters of SLC46A1 give us a new clue to link heme or iron overload with folate deficiency diseases.

Surface Plasmon Resonance-Based Membrane Protein-Targeted Active Ingredients Recognition Strategy: Construction and Implementation in Ligand Screening from Herbal Medicines.

Membrane proteins (MPs) are playing important roles in several biological processes. Screening new candidate compounds targeting MPs is important for drug discovery. However, it remains challenging to characterize the interactions between MPs and small-molecule ligands in a label-free method. In this study, a surface plasmon resonance (SPR)-based membrane protein-targeted active ingredients recognition strategy was constructed. This strategy contains two major modules: affinity detection module and ligand screening module. Through the combination of these two functional modules, it is feasible to screen small molecular ligands targeting MPs from herbal medicines. First, we have constructed high/low comparative C-X-C chemokine receptor type 4 (CXCR4)-expressed lentiviral particles (LVPs) models and characterized the expression levels. Then we immobilized LVPs on CM5 chips and detected the affinity between AMD3100 and CXCR4 by using affinity detection module. The KD of AMD3100 was 32.48 ± 3.17 nM. Furthermore, the suitability and robustness of the ligand screening module were validated by using AMD3100 as a positive compound. Subsequently, this module was applied in the screening of CXCR4 small molecular ligands from herbal medicine extracts. Senkyunolide I was screened out from Chuanxiong extract. The affinity constant between senkyunolide I and CXCR4 was 2.94 ± 0.36 µM. The Boyden chamber assay revealed that senkyunolide I could inhibit cell migration process. In conclusion, an SPR-based small molecular ligand recognition strategy combined with virus-based membrane protein stabilization method was constructed. The SPR-based membrane protein-targeted active ingredients recognition strategy will be an effective tool to screen target components from complex systems acting on MPs.

Rapid analysis of Saposhnikovia divaricate decoction metabolism in rats by UHPLC-Q-TOFMS and multivariate statistical analysis.

Saposhnikovia divaricata is a commonly used traditional Chinese medicine in treating various diseases such as pyrexia, rheumatism and headache. So far, there have been few reports on the metabolism of orally administered Saposhnikovia divaricate decoction (SDD), hindering further study on its bioactive components and their pharmacological characteristics. In the present study, ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOFMS) was used coupled with principal component analysis (PCA) and partial least squared discriminant analysis (PLS-DA) to rapidly discover and identify the metabolites of SDD. According to the result of PLS-DA, a total of 139 ions of interest including 87 positive ions and 52 negative ions were extracted as SDD-related xenobiotics in urine. Finally, 12 and 65 compounds were identified as absorbed parent components and metabolites of SDD, respectively. Among them, 40 new metabolites were reported for the first time. Our results suggested that hydrolysis, hydroxylation, glucuronidation and sulfation are the major metabolic pathways of chromones, while hydroxylation, hydrogenation and sulfation are the main metabolic pathways of coumarins. This study is the first to explore the absorption and metabolism of SDD using UHPLC-Q-TOFMS, with results providing a basis for further study of its pharmacokinetics and discovery of its bioactive components.

Identification of eupatilin and ginkgolide B as p38 ligands from medicinal herbs by surface plasmon resonance biosensor-based active ingredients recognition system.

Screening of bioactive ligands for a certain protein target from medicinal herbs is a highly important yet challenging task during drug discovery process. In this study, a surface plasmon resonance biosensor-based active ingredient recognition system (SPR-AIRS) was applied to screen p38 mitogen-activated protein kinase (p38) ligands from herbal extracts. After p38 protein was immobilized on a SPR chip and the suitability of SPR-AIRS was validated, thirty-four p38-related medicinal herbs were selected and pre-screened. Two medicinal herbs having high response signal with p38-immobilized chip, Folium Ginkgo and Herba Artemisiae Scopariae, were injected into SPR system for ligand fishing. Among them, two active compounds, eupatilin (EPT) and ginkgolide B (GKB), were identified as p38 ligands, and then the KD values of EPT and GKB were measured as 21.68 ± 2.21 and 44.71 ± 1.80 µM, respectively. They can inhibit p38 activities significantly and bind to the ATP binding site on p38. Furthermore, EPT and GKB can inhibit cell proliferation (IC50 = 30.31 ± 6.84 and 42.97 ± 0.83 µM), induce apoptosis and G2/M cell cycle arrest against K562 cell line. This is the first time that EPT and GKB are reported as effective p38 binding ligands. These results prove that SPR-AIRS could be an effective method to screen active compounds acting on a specific protein from complex systems.