绵参和地榆的化学成分研究

本论文由三章组成。第一章为综述，概述了植物中环烯醚萜类化合物的研究进展；第二和第三章为实验论文，分别报道了唇形科药用植物绵参和蔷薇科药用植物地榆的化学成分研究。 第一章概述了植物中环烯醚萜类化合物的研究成果，主要包括结构类型及药理活性等方面。 第二章包括两个部分。第一部分报道了藏药绵参（Eriophyton wallichii Benth）地上部分甲醇提取物的化学成分。采用正、反相硅胶柱层析等各种分离方法，从中共分离出7个化合物，有6个化合物为首次从该植物中分离得到，分别为β-谷甾醇（1），夏至草苦素（marrubiin，2），乌苏酸（3），cimigoside（4），5-deoxyantirrhinoside（5），8-表马钱子酸葡萄糖苷（8-epiloganic acid，6）和apigenin 7-(6''-p-coumaroyl)glucoside（7）。第二部分，采用高效液相色谱－质谱联用技术对绵参地上部分的甲醇提取物进行了分析，通过标准品对照紫、外光谱分析以及多级质谱分析与文献对照鉴定了8个成分，分别是：8-epiloganic acid（Ⅰ），quercitrin 3-glucoside-7-(6''-p-coumaroyl)glucoside（Ⅱ），ajugoside(I) （Ⅲ），chrysoeriol 7-O-E-p-coumaroyl-3-O-b-D-glucoside（Ⅳ），helichrysoside（Ⅴ），生物碱（Ⅵ），apigenin 2,3-dihydrogen-7-(6''-p-coumaroyl) glucoside（Ⅶ），apigenin 7-(6''-p-coumaroyl) glucoside（Ⅷ）。 第三章报道了中药地榆根部乙醇提取物正丁醇相的化学成分，通过正、反相硅胶柱层析等各种分离方法，从中分离得到8个化合物，分别为3,4¢- O-二甲基逆没食子酸（8），3,3¢,4¢-O-三甲基逆没食子酸（9）和3,4¢-O-二甲基逆没食子酸-4-O-b-D-木糖苷（10），19a-羟基-3-O-(a-L-阿拉伯糖)乌苏酸-28-O-b-D-葡萄糖苷（11）， 3b-[(a-L-arabinopyranosyl)oxy]-urs-11,13(18)-dien-28-oic acid b-D- glucopyranosyl ester（13），3-O-a-L-arabinopyranosyl-urs-12,18(19)-dien-28-oic acid b-D-glucopyranosyl ester（14），儿茶素（15），还有一种可能是皂苷11的工作产物（12）。 This dissertation consisted of three chapters. The first chapter elaborated the progress of iridoids occurring in plants. The later two chapters respectively elaborated the chemical constituents of Eriophyton wallichii Benth. and Sanguisorba officinalis L. The first chapter is a review of the research progress of iridoids occurring in plants, which includes their structure and pharmacology. The second chapter consisted of two parts. The first part is about the chemical constituents of methanol extraction from the aerial parts of Eriophyton wallichii Benth. Seven compounds were isolated and identified. Among them, the compounds of marrubiin, ursolic acid, cimigoside, 5-deoxyantirrhinoside, 8-epiloganic acid，apigenin 7-(6''-p-coumaroyl)glucoside were firstly reported in this plant. A HPLC-MSn method was developed for rapid identification of major compounds of Eriophyton wallichii. A total of 8 peaks in the chromatograms were unequivocally determined (peaks 1, 8) or tentatively identified (peaks 2-7) based on the detailed UV and tandem mass spectra analysis. Seven components were identified as 8-epiloganic acid（Ⅰ），Quercitrin 3-glucoside-7-(6''-p-coumaroyl)glucoside（Ⅱ），ajugoside(I)（Ⅲ），Chrysoeriol 7-O-E-p-coumaroyl-3-O-b-D-glucoside（Ⅳ），helichrysoside（Ⅴ），apigenin 2,3-dihydrogen-7-(6''-p-coumaroyl) glucoside（Ⅵ），apigenin 7-(6''-p-coumaroyl) glucoside（Ⅶ）。 The third chapter elaborated the chemical constituents of methanol extraction from Sanguisorba officinalis L, eight compounds were isolated from this plant by repeat column chromatography over silica gel. These compounds were identified as 3,4′-O-dimethylellagic acid, 3,3′,4′-O-trimethylellagic acid, 3,4′-O-dimethylellagic acid-4-O-b-D-xyloside, 3b-O-a-L-arabinopyranosyl-19a- hydroxyl-urs-12-en-28-oic acid 28-b-D-glucopyranoside, 3b-[(a-L-arabinopyranosyl)oxy]-urs-11,13(18)-dien- 28-oic acid b-D-glucopyranosyl ester，3-O-a-L–arabinopyranosyl-urs-12,18(19) -dien-28-oic acid b-D-glucopyranosyl ester, catechin.

Detection of K-ras exon 1 mutations by constant denaturant capillary electrophoresis

Among various mutation detection methods, constant denaturant capillary electrophoresis (CDCE) is one of the most common techniques for rapid identification of known or unknown mutations. In this report, a CDCE analysis method with homemade linear polyacrylamide (LPA) kit was developed on ABI 310 genetic analyzer, the effect and relationship of various denaturing factors in CDCE analysis were investigated and K-ras gene mutations of 31 coloerctal cancer patients were detected. Results indicate that, with the increase of chemical danaturant concentration, the optimum temperature was lowered, and when the concentration of urea (formamide) was higher than 7 M (40%), the homoduplex and heteroduplex of mutant samples were separated with difficulty. Detection results of K-ras gene in colorectal samples indicated that mutations were present in eight (26%) of 31 patients; most mutations were localized in codon 12, which is thought to be a critical step and plays an important role in human colorectal carcinogenesisas. Copyright (C) 2004 John Wiley Sons, Ltd.

Analysis of Saponins from Leaves of Aralia elata by Liquid Chromatography and Multi-stage Tandem Mass Spectrometry

Four saponins were isolated from the leaves of Aralia elata, and established using NMR and other spectroscopic methods, as well as data reported in the literature. Three Aralia saponins from the leaves of Aralia elata sharing the same structures as those isolated from the root bark suggested that the leaves would be a good substitute for the root bark of Aralia elata. These four Aralia saponins were then extensively investigated using complementarily positive and negative electrospray ionization multistage tandem mass spectrometry (ESI-MSn). Two isomers of saponins with different sugar linkages were then successfully differentiated by positive ESI-MSn and verified with different retention times and the collision-induced dissociation (CID) spectra by LC-MS. A simple and effective LC-MS method was thus developed for the rapid identification and screening of these saponins in plant extracts from leaves of Aralia elata.

Studies on the flavones using liquid chromatography-electrospray ionization tandem mass spectrometry

Fragmentation pathways of nine flavone compounds have been studied by using electrospray ionization multi-stage tandem mass spectrometry (ESI-MSn). Analyzing the product ion spectra of flavonoids and aglycones, we observed some diagnostic neutral losses, such as *CH3, H2O, residue of glucose and gluconic acid, which are very useful for the identification of the functional groups in the structures. Furthermore, specific retro Diels-Alder (RDA) fragments for flavones with different hydroxyl substitution have also been discussed. The information is helpful for the rapid identification of the location site of hydroxyl substitution on flavones. Fragmentation pathways of C-glycosidic flavonoid have also been discussed using ESI-MSn, demonstrating ions [M-H-60](-), [M-H-90](-), [M-H-120](-) are characteristic ions of C-glycosidic flavonoid. According to the fragmentation mechanism of mass spectrometry and HPLC-MS data, the structures of seven flavones in Scutellaria baicalensis Georgi have been identified on-line without time-consuming isolation. The HPLC-ESI-MSn method for analyzing constituents in the Scutellaria baicalensis Georgi has been established.

A TMA De-Arraying Method for High Throughput Biomarker Discovery in Tissue Research

Background: Tissue MicroArrays (TMAs) represent a potential high-throughput platform for the analysis and discovery of tissue biomarkers. As TMA slides are produced manually and subject to processing and sectioning artefacts, the layout of TMA cores on the final slide and subsequent digital scan (TMA digital slide) is often disturbed making it difficult to associate cores with their original position in the planned TMA map. Additionally, the individual cores can be greatly altered and contain numerous irregularities such as missing cores, grid rotation and stretching. These factors demand the development of a robust method for de-arraying TMAs which identifies each TMA core, and assigns them to their appropriate coordinates on the constructed TMA slide.

Methodology: This study presents a robust TMA de-arraying method consisting of three functional phases: TMA core segmentation, gridding and mapping. The segmentation of TMA cores uses a set of morphological operations to identify each TMA core. Gridding then utilises a Delaunay Triangulation based method to find the row and column indices of each TMA core. Finally, mapping correlates each TMA core from a high resolution TMA whole slide image with its name within a TMAMap.

Conclusion: This study describes a genuine robust TMA de-arraying algorithm for the rapid identification of TMA cores from digital slides. The result of this de-arraying algorithm allows the easy partition of each TMA core for further processing. Based on a test group of 19 TMA slides (3129 cores), 99.84% of cores were segmented successfully, 99.81% of cores were gridded correctly and 99.96% of cores were mapped with their correct names via TMAMaps. The gridding of TMA cores were also extensively tested using a set of 113 pseudo slide (13,536 cores) with a variety of irregular grid layouts including missing cores, rotation and stretching. 100% of the cores were gridded correctly.

Quantitative evaluation of fundus autofluorescence imaged 'in vivo' in eyes with retinal disease

Aim - To describe a new method of evaluating the topographic distribution of fundus autofluorescence in eyes with retinal disease. Methods - Images of fundus autofluorescence were obtained in five patients and 34 normal volunteers using a confocal scanning laser ophthalmoscope (cSLO). To evaluate the topographic distribution of fundus autofluorescence throughout the posterior pole a rectangular box, 10 x 750 pixels, was used as the area of analysis. The box was placed, horizontally, across the macular region. The intensity of fundus autofluorescence of each pixel within the rectangular box was plotted against its degree of eccentricity. Profiles of fundus autofluorescence from patients were compared with those obtained from the age matched control group and with cSLO images. Results - Profiles of fundus autofluorescence appeared to represent the topographic distribution of fundus autofluorescence throughout the posterior pole appreciated in the cSLO images, and allowed rapid identification and quantification of areas of increased or decreased fundus autofluorescence. Conclusions - Fundus autofluorescence profiles appear to be useful to study the spatial distribution of fundus autofluorescence in eyes with retinal disease.

The application of metabolomic biomarker screening tools for improved Bovine Respiratory Disease diagnosis and management

Bovine Respiratory Disease (BRD) is considered to be one of the most significant causes of economic loss in cattle worldwide. The disease has multifactorial aetiology, where viral induced respiratory damage can predispose animals to developing secondary bacterial infections. Accurate identification of viral infected animals prior to the onset of bacterial infection is necessary to reduce the overuse of antimicrobial treatments and minimize further economic losses from reduced production capacity and death. This research focuses on Bovine Parainfluenza Virus Type 3 (BPIV-3), one of the viruses involved in generating BRD. Vaccination measures for BPIV-3 can induce a level of immunity preventing disease progression, however, not all animals respond equally and immunization can complicate disease diagnosis. Alternative diagnostic approaches are required to identify animals which fail to respond to vaccination during infection outbreaks and are therefore likely to be more susceptible to secondary bacterial infections. Mass spectrometry based metabolomics was employed to identify plasma markers capable of differentiating between vaccinated and non-vaccinated calves after challenge with BPIV-3. Differentiation of vaccinated and non-vaccinated study groups (n=6) was possible as early as day 2 post-BPIV-3 challenge up until day 20 using a panel of potential metabolite markers. This study illustrates the potential for metabolomics to provide more detailed information on animal vaccination status that could be used to develop tools for improved herd health management, reduce economic loss through rapid identification and isolation of animals without immune protection (improving herd level immunity) and help reduce the usage of antimicrobial therapeutic treatments in animals.

Overcoming Resistance to Targeted Therapies in Cancer

The recent discovery of oncogenic drivers and subsequent development of novel targeted strategies has significantly added to the therapeutic armamentarium of anti-cancer therapies. Targeting BCR-ABL in chronic myeloid leukemia (CML) or HER2 in breast cancer has led to practice-changing clinical benefits, while promising therapeutic responses have been achieved by precision medicine approaches in EGFR mutant lung cancer, colorectal cancer and BRAF mutant melanoma. However, although initial therapeutic responses to targeted therapies can be substantial, many patients will develop disease progression within 6-12 months. An increasing application of powerful omics-based approaches and improving preclinical models have enabled the rapid identification of secondary resistance mechanisms. Herein, we discuss how this knowledge has translated into rational, novel treatment strategies for relapsed patients in genomically selected cancer populations.

Infrared and Raman screening of seized novel psychoactive substances: A large scale study of >200 samples

The potential of IR absorption and Raman spectroscopy for rapid identification of novel psychoactive substances (NPS) has been tested using a set of 221 unsorted seized samples suspected of containing NPS. Both IR and Raman spectra showed large variation between the different sub-classifications of NPS and smaller, but still distinguishable, differences between closely related compounds within the same class. In initial tests, screening the samples using spectral searching against a limited reference library allowed only 41% of the samples to be fully identified. The limiting factor in the identification was the large number of active compounds in the seized samples for which no reference vibrational data were available in the libraries rather than poor spectral quality. Therefore, when 33 of these compounds were independently identified by NMR and mass spectrometry and their spectra used to extend the libraries, the percentage of samples identified by IR and Raman screening alone increased to 76%, with only 7% of samples having no identifiable constituents. This study, which is the largest of its type ever carried out, therefore demonstrates that this approach of detecting non-matching samples and then identifying them using standard analytical methods has considerable potential in NPS screening since it allows rapid identification of the constituents of the majority of street quality samples. Only one complete feedback cycle was carried out in this study but there is clearly the potential to carry out continuous identification/updating when this system is used in operational settings.

Generating Data Augmented Spectroscopic Data For Performance Enhancement

The application of chemometrics in food science has revolutionized the field by allowing the creation of models able to automate a broad range of applications such as food authenticity and food fraud detection. In order to create effective and general models able to address the complexity of real life problems, a vast amount of varied training samples are required. Training dataset has to cover all possible types of sample and instrument variability. However, acquiring a varied amount of samples is a time consuming and costly process, in which collecting samples representative of the real world variation is not always possible, specially in some application fields. To address this problem, a novel framework for the application of data augmentation techniques to spectroscopic data has been designed and implemented. This is a carefully designed pipeline of four complementary and independent blocks which can be finely tuned depending on the desired variance for enhancing model's robustness: a) blending spectra, b) changing baseline, c) shifting along x axis, and d) adding random noise.
This novel data augmentation solution has been tested in order to obtain highly efficient generalised classification model based on spectroscopic data. Fourier transform mid-infrared (FT-IR) spectroscopic data of eleven pure vegetable oils (106 admixtures) for the rapid identification of vegetable oil species in mixtures of oils have been used as a case study to demonstrate the influence of this pioneering approach in chemometrics, obtaining a 10% improvement in classification which is crucial in some applications of food adulteration.

Malaria vaccine candidate: design of a multivalent subunit α-helical coiled coil poly-epitope.

A new strategy for the rapid identification of new malaria antigens based on protein structural motifs was previously described. We identified and evaluated the malaria vaccine potential of fragments of several malaria antigens containing α-helical coiled coil protein motifs. By taking advantage of the relatively short size of these structural fragments, we constructed different poly-epitopes in which 3 or 4 of these segments were joined together via a non-immunogenic linker. Only peptides that are targets of human antibodies with anti-parasite in vitro biological activities were incorporated. One of the constructs, P181, was well recognized by sera and peripheral blood mononuclear cells (PBMC) of adults living in malaria-endemic areas. Affinity purified antigen-specific human antibodies and sera from P181-immunized mice recognised native proteins on malaria-infected erythrocytes in both immunofluorescence and western blot assays. In addition, specific antibodies inhibited parasite development in an antibody dependent cellular inhibition (ADCI) assay. Naturally induced antigen-specific human antibodies were at high titers and associated with clinical protection from malaria in longitudinal follow-up studies in Senegal.

Polimorfismos del gen Butirilcolinesterasa responsables de reacciones adversas en pacientes consumidores de “cocaína”

La butirilcolinesterasa humana (BChE; EC 3.1.1.8) es una enzima polimórfica sintetizada en el hígado y en el tejido adiposo, ampliamente distribuida en el organismo y encargada de hidrolizar algunos ésteres de colina como la procaína, ésteres alifáticos como el ácido acetilsalicílico, fármacos como la metilprednisolona, el mivacurium y la succinilcolina y drogas de uso y/o abuso como la heroína y la cocaína. Es codificada por el gen BCHE (OMIM 177400), habiéndose identificado más de 100 variantes, algunas no estudiadas plenamente, además de la forma más frecuente, llamada usual o silvestre. Diferentes polimorfismos del gen BCHE se han relacionado con la síntesis de enzimas con niveles variados de actividad catalítica. Las bases moleculares de algunas de esas variantes genéticas han sido reportadas, entre las que se encuentra las variantes Atípica (A), fluoruro-resistente del tipo 1 y 2 (F-1 y F-2), silente (S), Kalow (K), James (J) y Hammersmith (H). En este estudio, en un grupo de pacientes se aplicó el instrumento validado Lifetime Severity Index for Cocaine Use Disorder (LSI-C) para evaluar la gravedad del consumo de “cocaína” a lo largo de la vida. Además, se determinaron Polimorfismos de Nucleótido Simple (SNPs) en el gen BCHE conocidos como responsables de reacciones adversas en pacientes consumidores de “cocaína” mediante secuenciación del gen y se predijo el efecto delos SNPs sobre la función y la estructura de la proteína, mediante el uso de herramientas bio-informáticas. El instrumento LSI-C ofreció resultados en cuatro dimensiones: consumo a lo largo de la vida, consumo reciente, dependencia psicológica e intento de abandono del consumo. Los estudios de análisis molecular permitieron observar dos SNPs codificantes (cSNPs) no sinónimos en el 27.3% de la muestra, c.293A>G (p.Asp98Gly) y c.1699G>A (p.Ala567Thr), localizados en los exones 2 y 4, que corresponden, desde el punto de vista funcional, a la variante Atípica (A) [dbSNP: rs1799807] y a la variante Kalow (K) [dbSNP: rs1803274] de la enzima BChE, respectivamente. Los estudios de predicción In silico establecieron para el SNP p.Asp98Gly un carácter patogénico, mientras que para el SNP p.Ala567Thr, mostraron un comportamiento neutro. El análisis de los resultados permite proponer la existencia de una relación entre polimorfismos o variantes genéticas responsables de una baja actividad catalítica y/o baja concentración plasmática de la enzima BChE y algunas de las reacciones adversas ocurridas en pacientes consumidores de cocaína.

Reading hybrid texts : remarks on text/image transitions

The reading of printed materials implies the visual processing of information originated in two distinct semiotic systems. The rapid identification of redundancy, complementation or contradiction rhetoric strategies between the two information types may be crucial for an adequate interpretation of bimodal materials. Hybrid texts (verbal and visual) are particular instances of bimodal materials, where the redundant information is often neglected while the complementary and the contradictory ones are essential.Studies using the 504 ASL eye-tracking system while reading either additive or exhibiting captions (Baptista, 2009) revealed fixations on the verbal material and transitions between the written and the pictorial in a much higher number and duration than the initially foreseen as necessary to read the verbal text. We therefore hypothesized that confirmation strategies of the written information are taking place, by using information available in the other semiotic system.Such eye-gaze patterns obtained from denotative texts and pictures seem to contradict some of the scarce existing data on visual processing of texts and images, namely cartoons (Carroll, Young and Guertain, 1992), descriptive captions (Hegarty, 1992 a and b), and advertising images with descriptive and explanatory texts (cf. Rayner and Rotello, 2001, who refer to a previous reading of the whole text before looking at the image, or even Rayner, Miller and Rotello, 2008 who refer to an earlier and longer look at the picture) and seem to consolidate findings of Radach et al. (2003) on systematic transitions between text and image.By framing interest areas in the printed pictorial material of non redundant hybrid texts, we have identified the specific areas where transitions take place after fixations in the verbal text. The way those transitions are processed brings a new interest to further research.

Genistein blocks homocysteine-induced alterations in the proteome of human endothelial cells

Dietary isoflavones from soy are suggested to protect endothelial cells from damaging effects of endothelial stressors and thereby to prevent atherosclerosis. In search of the molecular targets of isoflavone action, we analyzed the effects of the major soy isoflavone, genistein, on changes in protein expression levels induced by the endothelial stressor homocysteine (Hcy) in EA.hy 926 endothelial cells. Proteins from cells exposed for 24 h to 25 mu M Hcy alone or in combination with 2.5 mu M genistein were separated by two-dimensional gel electrophoresis and those with altered spot intensities were identified by peptide mass fingerprinting, Genistein reversed Hcy-induced changes of proteins involved in metabolism, detoxification, and gene regulation: and some of those effects can be linked functionally to the antiatherosclerotic properties of the soy isoflavone. Alterations of steady-state levels of cytoskeletal proteins by genistein suggested an effect oil apoptosis. As a matter of fact genistein caused inhibition of Hcy-mediated apoptotic cell death as indicated by inhibition of DNA fragmentation and chromatin condensation. In conclusion, proteome analysis allows the rapid identification of cellular target proteins of genistein action in endothelial cells exposed to the endothelial stressor Hcy and therefore enables the identification of molecular pathways of its antiatherosclerotic action

Energy benchmarking in commercial kitchens

Commercial kitchens are one of the most profligate users of gas, water and electricity in the UK and can leave a large carbon footprint. It is estimated that the total energy consumption of Britain’s catering industry is in excess of 21,600 million kWh per year. In order to facilitate appropriate energy reduction within licensed restaurants, energy use must be translated into a form that can be compared between kitchens to enable operators to assess how they are improving and to allow rapid identification of facilities which require action. A review of relevant literature is presented and current benchmarking methods are discussed in order to assist in the development and categorisation of benchmarking energy reduction in commercial kitchens. Energy use within UK industry leading brands is discussed for the purpose of benchmarking in terms of factors such as size and output.