Hepatotoxic evaluation of toosendanin via biomarker quantification and pathway mapping of large-scale chemical proteomics.

Drug-induced liver injury (DILI) is a major side effect, sometimes can't be exactly evaluated by current approaches partly as the covalent modification of drug or its reactive metabolites (RMs) with proteins is a possible reason. In this study, we developed a rapid, sensitive, and specific analytical method to assess the hepatotoxicity induced by drug covalently modified proteins based on the quantification of the modified amino acids using toosendanin (TSN), a hepatotoxic chemical, as an example. TSN RM-protein adducts both in rat liver and blood showed good correlation with the severity of hepatotoxicity. Thus, TSN RM-protein adducts in serum can potentially serve as minimally invasive biomarkers of hepatotoxicity. Meanwhile, large-scale chemical proteomics analysis showed that at least 84 proteins were modified by TSN RMs in rat liver, and the bioinformatics analysis revealed that TSN might induce hepatotoxicity through multi-target protein-protein interaction especially involved in energy metabolism. These findings suggest that our approach may serve as a valuable tool to evaluate DILI and investigate the possible mechanism, especially for complex compounds.

An iron oxide nanoworm hybrid on an interdigitated microelectrode silica surface to detect abdominal aortic aneurysms.

An abdominal aortic aneurysm (AAA) is abnormal swelling in the abdominal aorta and a prevalent life-threatening disease. This research introduces a new interdigitated microelectrode (IDME)-sensing surface modified by iron oxide nanoworms (IONWs) for detecting the AAA biomarker insulin-like growth factor-1 (IGF1). A sandwich pattern was formulated with the IGF1 aptamer and IGFBP1 (IGF binding protein-1) on the IONW-constructed IDME hybrid to identify IGF1. The surface morphology of the IONWs revealed a uniform distribution of worm-like structures (80-100 nm) as confirmed by FESEM and FETEM analyses. Further, the presence of the major elements, Fe and O, was confirmed by EDX and XPS studies. The crystal planes that appeared in the IONW reflect cubic magnetite. IONW-modified IDME attained a limit of detection for IGF1 of 1 fM (3σ) with an aptamer-IGF1-IGFBP1 sandwich. This sandwich with IGFBP1 enhanced the current level at all concentrations of IGF1 and displayed linearity in the range 1 fM to 100 pM with a determination coefficient of R2 = 0.9373 [y = 3.38221x - 4.79]. Control experiments with complementary aptamer sequences, IGF2 and IGFBP3 did not show notable signal changes, indicating the specific detection of IGF1. This IONW constructed electrode helps to achieve the detection of low amounts of IGF1 and diagnose AAA at the stage prior to rupture.

Bioactivity-guided discovery of quality control markers in rhizomes of Curcuma wenyujin based on spectrum-effect relationship against human lung cancer cells.

BACKGROUND: Due to the diversity of the ingredients, the complexity of the mechanism of action, the uncertainty of the effective ingredients, coupled with the multiple species and multiple growing areas, the quality control (QC) of Traditional Chinese Medicines (TCMs) is challenging. Discovering and identifying effective compounds from the complex extracts of TCMs and then establishing a scientific QC method is the key to the holistic QC of TCMs. PURPOSE: To develop an anti-lung-cancer-guided spectrum-effect relationship approach for the discovery of QC markers of the rhizome of Curcuma wenyujin (WEZ) and establish a bioactive compounds-based holistic QC method. METHODS: The chemical profiling of the volatile oil (WVO) from 42 batches of WEZ collected from different growing areas was performed by GC-MS. The anti-lung cancer activity of different WVO samples was determined by CCK-8 assay against human lung cancer cells (A549). The apoptosis and cell cycle analysis under different concentrations of WVO were detected by flow cytometry. SIMCA-P software was used to perform multivariate statistical analysis on the chemical composition of different WVO samples and to find the different components. Active compounds were screened using a PLSR model of the spectrum-effect relationship. Bioactive compounds-based fingerprint and quantification of the leading bioactive compounds were developed by GC-MS and GC-FID, respectively. RESULTS: Seventy-eight compounds were detected in WVO and 54 were successfully identified. The multivariate statistical analysis uncovered that WVO components and the anti-A549 activity of WVO at the concentration of 60 nl/ml differ greatly according to the origin of the plant. The WVO at the concentration of 60 nl/ml (IC50) increased A549 cells apoptosis significantly with late and early apoptosis of 15.61% and 7.80%, and the number of cells in the G2/M phase were also increased significantly under this concentration. The spectrum-effect relationship analysis revealed that 44 compounds were positively correlated with their activities, and the result was verified by A549 cell viability assay. Sixteen positively correlated compounds were further selected as QC markers according to their relative amount > 0.5% and anticancer activity. Finally, the 16 QC markers-based GC-MS fingerprint was established to holistically control the quality of WEZ, and a GC-FID method was developed for the quantification of leading bioactive compounds, ß-elemene and ß-caryophyllene. CONCLUSION: Based on an anti-lung-cancer-guided spectrum-effect relationship approach, the bioactive compounds-based holistic QC method was successfully developed for WEZ, which could provide a valuable reference for the QC of TCMs.

The effects of quinoa seed supplementation on cardiovascular risk factors: A systematic review and meta-analysis of controlled clinical trials.

This meta-analysis was designed to determine the effect of quinoa seed on cardiovascular disease (CVD) risk factors in adults. PubMed, Scopus, ISI Web of Science, and Cochrane library were searched electronically from their inception to February 2020 to identify eligible RCTs. We calculated the pooled estimates of weighted mean differences (WMDs) and their 95% confidence intervals (CIs) by using random-effects models. Five eligible RCTs representing 206 subjects were enrolled. The pooled result showed that quinoa seed supplementation significantly lowered the body weight (WMD: -1.26 kg, 95% CI: -2.35, -0.18, p = .02), waist circumference (WC) (WMD: -1.15 cm, 95% CI: -2.08, -0.21, p = .01), fat mass (FM) (WMD: -0.59%, 95% CI: -1.14, -0.03, p = .03), insulin serum level (WMD: -0.86 pmol/L, 95% CI: -13.38, -1.59, p = .01), triglyceride (TG) (WMD: -7.20 mg/dl, 95% CI: -9.52, -4.87, p < .001), total cholesterol (TC) (WMD: -6.86 mg/dl, 95% CI: -10.64, -3.08, p < .001), and low density lipoprotein (LDL) (WMD: -3.08 mg/dl, 95% CI: -5.13, -1.03, p = .003) levels. However, no significant changes were seen in other markers (p > .05). The current evidence suggests that quinoa seed might be utilized as a possible new effective and safe supplementary option to better prevent and control CVD in humans.

Application of Metabolomics Tools to Determine Possible Biomarker Metabolites Linked to Leaf Blackening in Protea.

The postharvesting disorder leaf blackening is the main cause of product rejection in Protea during export. In this study, we report an investigation into metabolites associated with leaf blackening in Protea species. Methanol extracts of leaf and involucral bract tissue were analyzed by liquid chromatography hyphenated to photodiode array and high-resolution mass spectrometry (LC-PDA-HRMS), where 116 features were annotated. Analytical data obtained from 37 Protea species, selections, and hybrids were investigated using metabolomics tools, which showed that stems susceptible to leaf blackening cluster together and contained features identified as benzenetriol- and/or hydroquinone-derived metabolites. On the other hand, species, selections, and cultivars not prone to blackening were linked to metabolites with known protective properties against biotic and abiotic stressors. During the browning process, susceptible cultivars also produce these protective metabolites, yet at innately low levels, which may render these species and cultivars more vulnerable to blackening. Metabolites that were found to be correlated to the instigation of the browning process, all comprising benzenetriol- and hydroquinone-glycoside derivatives, are highlighted to provide preliminary insights to guide the development of new Protea cultivars not susceptible to leaf blackening.

Metabolite profiling reveals the interaction of chitin-glucan with the gut microbiota.

Dietary fibers are considered beneficial nutrients for health. Current data suggest that their interaction with the gut microbiota largely contributes to their physiological effects. In this context, chitin-glucan (CG) improves metabolic disorders associated with obesity in mice, but its effect on gut microbiota has never been evaluated in humans. This study explores the effect of a 3-week intervention with CG supplementation in healthy individuals on gut microbiota composition and bacterial metabolites. CG was given to healthy volunteers (n = 15) for three weeks as a supplement (4.5 g/day). Food diary, visual analog and Bristol stool form scales and a "quality of life" survey were analyzed. Among gut microbiota-derived metabolites, bile acids (BA), long- and short-chain fatty acids (LCFA, SCFA) profiling were assessed in stool samples. The gut microbiota (primary outcome) was analyzed by Illumina sequencing. A 3-week supplementation with CG is well tolerated in healthy humans. CG induces specific changes in the gut microbiota composition, with Eubacterium, Dorea and Roseburia genera showing the strongest regulation. In addition, CG increased bacterial metabolites in feces including butyric, iso-valeric, caproic and vaccenic acids. No major changes were observed for the fecal BA profile following CG intervention. In summary, our work reveals new potential bacterial genera and gut microbiota-derived metabolites characterizing the interaction between an insoluble dietary fiber -CG- and the gut microbiota.

Vibrational Spectroscopic Based Approach for Diagnosing Babesia bovis Infection.

Babesia bovis parasites present a serious and significant health concern for the beef and dairy industries in many parts of the world. Difficulties associated with the current diagnostic techniques include the following: they are prone to human error (microscopy) or expensive and time-consuming (polymerase chain reaction) to perform. Little is known about the biochemical changes in blood that are associated with Babesia infections. The discovery of new biomarkers will lead to improved diagnostic outcomes for the cattle industry. Vibrational spectroscopic technologies can record a chemical snapshot of the entire organism and the surrounding cell thereby providing a phenotype of the organism and the host infected cell. Here, we demonstrate the applicability of vibrational spectroscopic imaging techniques including Atomic Force Microscopy Infrared (AFM-IR) and confocal Raman microscopy to discover new biomarkers for B. bovis infections. Furthermore, we applied Attenuated Total Reflection Fourier Transform Infrared (ATR-FTIR) to detect B. bovis in red blood cells (RBCs). Based on changes in the IR spectral bands, with ATR-FTIR in combination with Partial Least Squares-Discriminant Analysis we were able to discriminate infected samples from controls with a sensitivity and specificity of 92.0% and 91.7%, respectively, in less than 2 min, excluding sample extraction and preparation. The proposed method utilized a lysis approach to remove hemoglobin from the suspension of infected and uninfected cells, which significantly increased the sensitivity and specificity compared to measurements performed on intact infected red blood cells (intact infected RBC, 77.3% and 79.2%). This work represents a holistic spectroscopic study from the level of the single infected RBC using AFM-IR and confocal Raman to the detection of the parasite in a cell population using ATR-FTIR for a babesiosis diagnostic.

Validation and quantification of major biomarkers in 'Mahasudarshan Churna'- an ayurvedic polyherbal formulation through high-performance thin-layer chromatography.

BACKGROUND: Mahasudarshan Churna (MC) is a polyherbal Ayurvedic medicine that is employed in fever (especially chronic type), cold and malaria, improvement of digestion and appetite, removes toxins from the blood, boosts immunity and protects against common bacterial infections. METHODS: Validation and quantification of oleanolic acid (OA), ursolic acid (UA), mangiferin (M), gallic acid (GA), quercetin (Q) and curcumin (C) in commercial MC formulations by HPTLC method. Mobile phase, hexane: ethyl acetate: acetone (16.4: 3.6: 0.2, v/v) was used for the separation of OA and UA; ethyl acetate: glacial acetic acid: formic acid: water (20: 2.2: 2.2: 5.2 v/v) for the development of M; and toluene: ethyl acetate: formic acid (13.5: 9: 0.6 v/v) for the separation of GA, Q and C in crude sample extracts. Visualization and scanning were performed at λ = 530 nm for OA and UA, at λ = 254 nm for M and at λ = 366 nm for GA, Q and C. In addition, HPLC-PDA analysis was used to confirm the HPTLC results. RESULTS: Major bio-active compounds in MC formulations were oleanolic acid (1.54-1.78%), mangiferin (1.38-1.52%) and gallic acid (1.01-1.15%); followed by ursolic acid (0.79-0.98%), curcumin (0.45-0.67%) and quercetin (0.22-0.34%). CONCLUSION: Analysis of bio-active compounds in the present study was performed using HPTLC methods and later HPTLC results were compared with HPLC. These two methods give comparable results and there was no statistically significant difference between the mean values for all extracts. Present study concluded that this HPTLC technique is low cost, fast, precise, and accurate which can be employed for the quantification of xanthonoid (M), triterpenoids (OA, UA) and phenolics (GA, Q and C) in samples/formulations. Furthermore, present HPTLC method can be conveniently employed for routine quality control analysis of all the six marker compounds in marketed Ayurvedic/herbal formulations.

Identifying the chemical markers in raw and wine-processed Scutellaria baicalensis by ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry coupled with multiple statistical strategies.

Herb processing is a typical pharmaceutical preparation process for traditional Chinese medicine. After processing, its clinical applications and pharmacological effects vary greatly, which is most commonly attributed to the changing chemical properties between raw herb and processed products. In this work, a total of 53 chemical compounds were detected, among which 17 compounds were identified as discriminatory chemicals between raw and wine-processed Scutellaria baicalensis, and 10 components were identified as chemical markers with a cumulative content contribution of 88.75%. In addition, this work revealed that the best wine-processed time was 18 min by investigating the changes of chemical markers in S. baicalensis during processing. This work demonstrated that ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry coupled with multiple statistical strategies is an effective approach for screening and identifying discriminatory chemical markers in complex traditional Chinese medicine.

High-resolution magic angle spinning nuclear magnetic resonance (HR-MAS NMR) as a tool in the determination of biomarkers of Passiflora-based herbal medicines.

High-resolution magic-angle spinning nuclear magnetic resonance spectroscopy (HR-MAS NMR) for the identification of the metabolic profile of plants under conditions very close to that in which the compounds are present in the matrix, the herbal medicines in this case. This enables selectivity in the determination of the active principle and other biomarkers present in the complex matrix, avoiding degradation products, which may occur in the extractive processes required in several analytical methods. In this study, HR-MAS analysis was applied in the quality control of seven Passiflora-based herbal medicines, using metabolic fingerprinting to confirm plant species and identify biomarkers. Vitexin and isovitexin were identified as major compounds in three of these herbal medicines (0.17 to 0.55%), while salicin was the majority in two others. On the other hand, no significant flavonoid contents were observed in the remaining two. In addition, it was possible to detect ethanol, a non-target compound, in all herbal medicines in concentrations varying between 0.009 and 0.342%. In this way, combined with chemometrics 1H HR-MAS NMR proved to be suitable for the qualitative and quantitative study of Passiflora biomarkers, using a minimal pre-treatment of the sample.

Discovery and validation of peptide biomarkers for discrimination of Dendrobium species by label-free proteomics and chemometrics.

The stems of Dendrobium officinale, a well-known and expensive food material and herbal medicine in Asia, has recently suffered adulterants and counterfeits by using lower-price confusing Dendrobium species such as D. devonianum or D. transparens in the herbal market. However, robust methods that could authenticate D. officinale from its confusing species effectively are still lacking, especially for the dried samples. This study committed to discover specific peptides biomarkers for the authentication of D. officinale from the other two Dendrobium species using label-free proteomics by nanoLC LTQ Orbitrap mass spectrometry. Multivariate statistical analysis was applied to visualize the difference between the three Dendrobium species. As a result, 29 peptides among a total of 343 measurable peptides were selected to be potential biomarkers for the classification of these Dendrobium species. The validation of the representative peptide biomarkers was carried out by the synthesized peptides and 3 peptide biomarkers were found significant for the authentication of D. officinale. Further analysis showed that peptide ALGLELDLSER may also be a biomarker for the discrimination of the D. officinale originated from different geographical regions.

Peptides as Potential Biomarkers for Authentication of Mountain-Cultivated Ginseng and Cultivated Ginseng of Different Ages Using UPLC-HRMS.

The growth conditions and age of Panax ginseng are vital for determining the quality of the ginseng plant. However, the considerable difference in price according to the cultivation method and period of P. ginseng leads to its adulteration in the trade market. We herein focused on ginseng peptides and the possibility of these peptides to be used as biomarker(s) for discrimination of P. ginseng. We applied an ultraperformance liquid chromatography-high resolution mass spectrometry-based peptidomics approach to characterize ginseng peptides and discover novel peptide biomarkers for authentication of mountain-cultivated ginseng (MCG). We identified 52 high-confidence peptides and screened 20 characteristic peptides differentially expressed between MCG and cultivated ginseng (CG). Intriguingly, 6 differential peptides were expressed significantly in MCG and originated from dehydrins that accumulated during cold or drought conditions. In addition, 14 other differential peptides that were significantly expressed in CG derived from ginseng major protein, an essential protein for nitrogen storage. These biological associations confirmed the reliability and credibility of the differential peptides. Additionally, we determined several robust peptide biomarkers for discrimination of MCG through a precise selection process. These findings demonstrate the potential of peptide biomarkers for identification and quality control of P. ginseng in addition to ginsenoside analysis.

Effect of food contamination and collection material in the measurement of biomarkers in saliva of horses.

This study aims to evaluate the effect of the presence of food and the material used in a panel of biomarkers in saliva of horses. For the food effect study, clean saliva was incubated with a known amount of food consisting of oats, hay or grass. Significant changes were observed when saliva was incubated with oats for total protein (P = .050) and phosphorus (P = .008), with grass for total protein (P = .037), salivary alpha-amylase (sAA, P = .018), total esterase (TEA, P = .018), butyrilcholinesterase (BChE, P = .037), adenosine deaminase (ADA, P = .037), and total bilirubin (P = .018), and with hay for sAA (P = .018), phosphorus (P = .037), γ-glutamyl transferase (gGT, P = .004), and creatine kinase (CK, P = .016). For the material-based collection study, saliva using a sponge and a cotton role at the same time were collected and compared. Lower values were obtained in clean saliva collected with cotton role compared to sponge for sAA (P = .030), TEA (P = .034), BChE (P = .003), gGT (P = .002) and cortisol (P < .001) In conclusion, the presence of food and the material used for its collection, can influence the results obtained when analytes are measured in saliva of horses.

Plasma metabolomics analysis of endogenous and exogenous metabolites in the rat after administration of Lonicerae Japonicae Flos.

Lonicerae Japonicae Flos (LJF) is a typical herbal medicine and is used as a functional food. LJF, which has complex chemical compounds, has various biological effects. The global metabolomics, focusing on both the endogenous and exogenous metabolites, have not yet been investigated for LJF in normal healthy rats using LC-MS. In this study, plasma metabolomics was analyzed after the administration of LJF at different time intervals, and the exogenous metabolites were identified. Partial least squares discriminant analysis showed significant differences in chemical content in the dosed rats. Cholic acid, indoleacrylic acid, indolelactic acid, hippuric acid, N-acetyl-phenylalanine, and N-acetyl-serotonin significantly accumulated in the dosed rats. Lysophosphatidylethanolamine and lysophosphatidylcholine content, including plasmalogen, increased. There were 25 components of LJF, including 15 prototypes and 10 metabolites, that were identified. The 15 prototypes included phenolic acids, flavonoids, and iridoids, and their contents decreased with an increase in the administration time. Glucuronidation and sulfation of polyphenols were found for LJF. The exogenous glucuronide and sulfate metabolites-including dihydrocoumaric acid-sulfate, dihydrocaffeic acid-sulfate, dihydroferulic acid-sulfate, apigenin-glucuronide, apigenin-glucuronide-sulfate, isorhamnetin-glucuronide-sulfate, and others-were identified with a neutral loss of 176 and 80, respectively. The metabolic differences found in the study may serve as biomarkers of LJF consumption and promote the understanding of the mechanism of action of LJF.

A strategy for identifying species-specific peptide biomarkers in deer-hide gelatin using untargeted and targeted mass spectrometry approaches.

Deer-hide gelatin (DHG) is an important animal-derived traditional Chinese medicine (TCM), which has been applied in TCM for over 400 years. However, it is extremely difficult to distinguish DHG with adulteration or made with other animal skins due to the highly processing procedure. Therefore, a simple strategy for identifying species-specific peptide biomarkers in deer-hide gelatin (DHG) is needed. In the present study, untargeted and targeted mass spectrometry approaches were implemented to analyze comprehensive peptidomic profiles of trypsin-digested animal gelatins. Mathematics set theory was then used to interrogate the relationship between different samples and peptides in the target species set, while the peptides were not considered as species-specific biomarkers in other sets. Two peptides were identified as DHG-specific peptides. Targeted mass spectrometry approach was then used to verify these two peptides. It showed that these two peptides could be used for distinguishing DHG from other animal hide gelatins. The present strategy provides a simple method for peptide biomarker discovery, which can be applied in the identification of specific peptides in some highly processed animal derived traditional Chinese medicines (TCMs). Thus, the present work provides an effective strategy for rapid, simple discovery and application of species-specific peptide biomarkers to ensure animal derived TCMs quality and make them authenticable and traceable.

Toenails as biomarker of exposure to essential trace metals: A review.

Health problems associated with essential trace metals can result from both inadequate (i.e., low intake) and excessive exposures (i.e., from environmental and/or occupational source). Thus, measuring the exposure level is a real challenge for epidemiologists. Among non-invasive biomarkers that intend to measure long-term exposure to essential trace metals, the toenail is probably the biological matrix with the greatest potential. This systematic review collects the current evidence regarding the validity of toenail clippings as exposure biomarker for trace metals such as boron, cobalt, copper, iron, manganese, molybdenum, selenium, silicon, vanadium and zinc. Special attention was paid to the time-window of exposure reflected by the toenail, the intraindividual variability in exposure levels over time in this matrix, and the relationship of toenail with other biomarkers, personal characteristics and environmental sources. Our search identified 139 papers, with selenium and zinc being the most studied elements. The variability among studies suggests that toenail levels may reflect different degrees of exposure and probably correspond to exposures occurred 3-12 months before sampling (i.e., for manganese/selenium). Few studies assessed the reproducibility of results over time and, for samples obtained 1-6 years apart, the correlation coefficient were between 0.26 and 0.66. Trace metal levels in toenails did not correlate well with those in the blood and urine and showed low-moderate correlation with those in the hair and fingernails. Available data suggests that for some elements (Se, Mn, Zn) toenail concentrations reflect long-term external exposures in fairly reproducible levels, while for other metals, this association has not yet been assessed. Among dietary factors, only toenail selenium showed clear associations with the intake of supplements or specific foods. The toenail levels could also represent occupational exposure, for instance, Mn exposure in welders. The scarcity of information on other essential trace elements, together with the great heterogeneity among studies makes the validation of the usage of toenails as biomarkers of exposure to these elements difficult. Standardization of sample collection, quality control, analytical techniques and reporting procedures might facilitate further research focused on the clear understanding of the significance of essential levels in this promising matrix and would enhance its utility in epidemiological research.

HPLC Coupled with Chemometric Analysis and LC-MS Studies of Three Flavonoids in Tephrosia purpurea (L.) Pers Revealed Impact of Chemodiversity on the Quest for the Chemical Markers.

Globally, Tephrosia purpurea (L.) Pers is used as an important component in herbal drug formulations for liver health. The present study is aimed to develop a suitable analytical approach for simultaneous analysis of three flavonoids (rutin, deguelin and rotenone) to establish quality control methods for plant. A novel High-performance liquid chromatography photodiode array detector (HPLC-PDA) method has been developed to quantify these flavonoids in T. purpurea. The method was validated, and data were subjected to chemometric analysis to select most optimal marker compound. The method that was found linear with R2 values ranges from 0.996 to 0.998 with good recoveries. Intra- and inter-day precision values were <2. HPLC analysis revealed high level of chemodiversity. Quantity of all the three chemical markers was found significantly disparate in samples from different locations. Deguelin was detectable only in three out of total eight samples. However, liquid chromatography-mass spectrometry analysis was found sufficiently sensitive to detect all the compounds in all samples. Thus, results suggest to apply combination of approaches to enhance confidence in chromatographic methods for quality control of herbal drugs. Principal component analysis ranked the markers as Rutin>Rotenone>Deguelin. This comprehensive approach employing multichromatography platforms can be successfully utilized in analysis of these bioactive markers and routine standardization of herbal material and formulations containing T. purpurea.

Characterization of chemical constituents and absorbed components, screening the active components of gelanxinning capsule and an evaluation of therapeutic effects by ultra-high performance liquid chromatography with quadrupole time of flight mass spectrometry.

We revealed the potential biomarker and pathway of gelanxinning capsule on rat model with coronary heart disease, which aims to clarify holistic therapeutic effect and predict quality-markers of gelanxinning capsule. Ultra-high performance liquid chromatography coupled with mass spectrometry based on metabolomics technique was used to find the biomarkers and related metabolic pathways of coronary heart disease model, which evaluates the intervention effect of gelanxinning capsule. Using serum pharmacochemistry of traditional Chinese medicine and Pearson correlation analysis, effective ingredients in serum is analyzed to characterize the activity of gelanxinning capsule on coronary heart disease under valid state. A total of 20 biomarkers from coronary heart disease were identified and 12 of them were regulated by gelanxinning capsule treatment, which is mainly involved in sphingolipid metabolism and glycerophospholipid metabolism. With the high sensitivity liquid chromatography coupled with mass spectrometry technology, a total of 46 compounds from gelanxinning capsule were identified in vitro and 25 of them were absorbed in blood. The correlation analysis of serum biomarkers and absorbed components was used to find 11 compounds as quality-markers to be responsible for the efficacy of gelanxinning capsule. This strategy was successfully applied to screening of potential mechanism and quality-markers from herbal medicine.

Does unsaponifiable fraction of grape seed oil attenuate nitric oxide production, oxidant and cytotoxicity activities.

Triterpenoids, tocopherols, and phytosterols presented in unsaponifiable fraction of grape seed oil have several beneficial effects comprising antioxidant, anti-inflammatory, and antitumor capacities. In this study, the unsaponifiable fraction of three Tunisian grape seed varieties (Vitis vinifera L.), namely Merlot, Carignan, and Syrah, was investigated. The identified compounds were two triterpenic compounds (ß-amyrin, lanosterol), six phytosterols (campesterol, ∆7 -avenasterol, stigmasterol, ß-sitosterol, ß-sitostanol, cholesterol), and three tocopherols (α, ß, and γ tocopherols). The unsaponifiable fraction had significant protection against oxidative damage by modulating NO production and antioxidant activity. Statistical analysis showed the presence of three clusters of varieties associated to specific composition patterns. These results clearly demonstrated that unsaponifiable fraction profiles of grape species could be considered as a complementary data to the existing taxonomic evidence and classification purposes. PRACTICAL APPLICATIONS: Recently, much attention has been focused to substitute artificial antioxidant by others originating from natural products as plant matrices. The unsaponifiable fraction of grape seed oils is an interesting source of bioactive components like phytosterols, tocopherols, triterpenoids, and other various components. These components are known for their antitumor, anti-inflammatory and antioxidant capacities.

Establishment of enzyme-linked immunosorbent facilitated antigen binding as a biomarker assay for Japanese cedar pollen allergy immunotherapy.

BACKGROUND: Clinical efficacy of allergen-specific Immunotherapy (AIT) towards Japanese cedar (JC) pollen allergy is firmly established but JC pollen-specific biomarker assays are lacking. Treatment-related increase of allergen-specific antibodies is a robust biomarker of successful AIT. Allergen-specific non-IgE antibodies are believed to reduce the effects of allergen exposure by competing with IgE for allergen binding, and in-vitro assays quantifying the effects of AIT-induced IgE-blocking antibodies are advantageous. A cell-free enzyme-linked immunosorbent facilitated antigen binding (ELIFAB) assay of JC pollen was established. METHODS: Serum IgE-allergen complexes were captured by immobilized recombinant CD23, and allergen-IgE-CD23 complexes were detected by a biotin-conjugated anti-human IgE antibody. Sera from JC pollen-allergic subjects without or with subcutaneous immunotherapy (SCIT) with JC pollen extract were used (n = 11/group). RESULTS: Optimal assay conditions were established at 20 µg/mL CD23 and 0.3 µg/mL JC pollen extract, and the dependency on CD23 and IgE was verified. The data show that the JC pollen ELIFAB assay is fit for purpose and demonstrates that the IgE-blocking activity is significantly increased in the JC pollen SCIT group compared with the non-treated group. CONCLUSION: The JC pollen ELIFAB assay represents a simple, cell-free biomarker assay for monitoring the development of IgE-blocking antibody activity during JC pollen AIT.