Differentiation of the fucoidan sulfated L-fucose isomers constituents by CE-ESIMS and molecular modeling

Alpha-L-fucose, the monosaccharide component of fucoidan, is found in the polysaccharide mainly as its sulfated form where sulfate groups are in position 2 and/or 4 and/or 3. The correlation between biological activities and structure of fucoidan requires the determination of the sulfation pattern of the fucose residues. Therefore, it is of importance to discriminate between the isobaric sulfated fucose isomers. For this purpose, the three isomers 2-O-, 3-O-, and 4-O-sulfated fucose have been analyzed using electrospray ion trap mass spectrometry and capillary electrophoresis. The results reported herein show that it is possible to differentiate between these three positional isomers of sulfated fucose based on their fragmentation pattern upon MS/MS experiments. 3-O-Sulfated fucose was characterized by the loss of the hydrogenosulfate anion HSO4- as the main fragmentation product, while the two other isomers 2-O-, and 4-O-sulfated fucose exhibited cross-ring fragmentation yielding to distinctive (0,2)X and (0,2)A daughter ion, respectively. A computational study of the conformation of the sulfated fucose isomers was carried out providing an understanding of the fragmentation pattern with respect to the position of the sulfate group.     

Identification of membrane-associated proteins from Campylobacter jejuni strains using complementary proteomics technologies

Campylobacter jejuni is the leading cause of food- and water-borne illness world-wide. The membrane-associated proteome of a recent C. jejuni gastrointestinal isolate (JHH1) was generated by sodium carbonate precipitation and ultracentrifugation followed by 2-DE and MALDI-TOF MS as well as 2-DLC (strong cation exchange followed by RP chromatography) of trypsin digests coupled to MS/MS (2-DLC/MS/MS). 2-DE/MS identified 77 proteins, 44 of which were predicted membrane proteins, while 2-DLC/MS/MS identified 432 proteins, of which 206 were predicted to be membrane associated. A total of 453 unique proteins (27.4% of the C. jejuni theoretical proteome), including 187 bona fide membrane proteins were identified in this study. Membrane proteins were also compared between C. jejuni JHH1 and ATCC 700297 to identify factors potentially associated with increased gastrointestinal virulence. We identified 28 proteins that were significantly (>two-fold) more abundant in, or unique to, JHH1, including eight proteins involved in chemotaxis signal transduction and flagellar motility, the amino acid-binding surface antigens CjaA and CjaC, and four outer membrane proteins (OMPs) of unknown function (Cj0129c, Cj1031, Cj1279c, and Cj1721c). Immunoblotting using convalescent patient sera generated post-gastrointestinal infection revealed 13 (JHH1) and 12 (ATCC 700297) immunoreactive proteins. These included flagellin (FlaA) and CadF as well as Omp18, Omp50, Cj1721c, PEB1A, PEB2, and PEB4A. This study provides a comprehensive analysis of membrane-associated proteins from C. jejuni.     

油菜分子标记图谱构建及抗菌核病性状的QTL定位

以油菜品种０８５（抗菌核病）与湘油１３号杂交得到的Ｆ２代作为作图群体,以ＲＡＰＤ标记来构建油菜连锁图谱。通过对３００个１０－ｍｅｒ随机引物的筛选,共获得２００个多态性ＲＡＰＤ位点。经Ｍａｐｍａｋｅｒ／ＥＸＰ３．０软件处理,构建了１张含１９３个标记位点、１９个连锁群、覆盖长度为１３２４ｃＭ的连锁图谱。在此基础上利用Ｍａｐｍａｋｅｒ／ＱＴＬ １．１将抗菌核病基因定位在第四、八和十四３个连锁群上,即：Ｓ     

Modeling the distribution of white spruce (<Emphasis Type="Italic">Picea glauca</Emphasis>) for Alaska with high accuracy: an open access role-model for predicting tree species in last remaining wilderness areas

Most wilderness areas still lack accurate distribution information on tree species. We met this need with a predictive GIS modeling approach, using freely available digital data and computer programs to efficiently obtain high-quality species distribution maps. Here we present a digital map with the predicted distribution of white spruce (Picea glauca) in Alaska (4 km resolution, accuracy over 90%). Our presented concept represents a role-model for predicting tree species distribution for remote areas world-wide. Although this model intends to be accurate in making predictions rather than to give detailed biological mechanistic explanations, it can also be used as a baseline for further research and testable hypothesis on the importance of the environmental variables used to build a generalizable model. Further, we emphasize that work like presented here is a pre-condition for assessing human impacts and impacts of climate change on species distribution in a quantitative and transparent fashion, allowing for improved sustainable decision-making world-wide.     

Anthropometric variables accurately predict dual energy x-ray absorptiometric-derived body composition and can be used to screen for diabetes

The current world-wide epidemic of obesity has stimulated interest in developing simple screening methods to identify individuals with undiagnosed diabetes mellitus type 2 (DM2) or metabolic syndrome (MS). Prior work utilizing body composition obtained by sophisticated technology has shown that the ratio of abdominal fat to total fat is a good predictor for DM2 or MS. The goals of this study were to determine how well simple anthropometric variables predict the fat mass distribution as determined by dual energy x-ray absorptometry (DXA), and whether these are useful to screen for DM2 or MS within a population. To accomplish this, the body composition of 341 females spanning a wide range of body mass indices and with a 23% prevalence of DM2 and MS was determined using DXA. Stepwise linear regression models incorporating age, weight, height, waistline, and hipline predicted DXA body composition (i.e., fat mass, trunk fat, fat free mass, and total mass) with good accuracy. Using body composition as independent variables, nominal logistic regression was then performed to estimate the probability of DM2. The results show good discrimination with the receiver operating characteristic (ROC) having an area under the curve (AUC) of 0.78. The anthropometrically-derived body composition equations derived from the full DXA study group were then applied to a group of 1153 female patients selected from a general endocrinology practice. Similar to the smaller study group, the ROC from logistical regression using body composition had an AUC of 0.81 for the detection of DM2. These results are superior to screening based on questionnaires and compare favorably with published data derived from invasive testing, e.g., hemoglobin A1c. This anthropometric approach offers promise for the development of simple, inexpensive, non-invasive screening to identify individuals with metabolic dysfunction within large populations.     

Role of lymphocyte-specific protein tyrosine kinase (LCK) in the expansion of glioma-initiating cells by fractionated radiation

Lipid peroxidation products have a high reactivity against the primary amino groups of biomolecules such as aminophospholipids, proteins, and DNA. Until now, many papers have reported about the modification of biomolecules derived from lipid peroxides. Our group has also reported that aminophospholipids, such as phosphatidylethanolamine (PE), can be modified by lipid peroxidation including 13-hydroperoxyoctadecadienoic acid (13-HPODE). The aim of this study was to examine the oxidative stress in vivo by detecting the formation of N-(hexanoyl)phosphatidylethanolamine (HEPE) and N-(hexanoyl)phosphatidylserine (HEPS), a novel hexanoyl adduct, using a liquid chromatography/tandem mass spectrometry (LC/MS/MS) and a monoclonal antibody.Consequently, we observed that the formation of HEPE and HEPS occurred in the red blood cell (RBC) ghosts modified by 13-HPODE and the oxidative stress model induced by carbon tetrachloride (CCl₄) using LC/MS/MS monitoring hexanoyl ethanolamine (HEEA), a head group of HEPE, and hexanoyl serine (HESE) as a part of HEPS. Furthermore, we obtained a novel type of monoclonal antibody against HEPE. This antibody could recognize HEPE in the liver of rats with oxidative stress in vivo.     

Identification and Prioritization of Important Attributes of Disease-Modifying Drugs in Decision Making among Patients with Multiple Sclerosis: A Nominal Group Technique and Best-Worst Scaling

ObjectivesUnderstanding the preferences of patients with multiple sclerosis (MS) for disease-modifying drugs and involving these patients in clinical decision making can improve the concordance between medical decisions and patient values and may, subsequently, improve adherence to disease-modifying drugs. This study aims first to identify which characteristics–or attributes–of disease-modifying drugs influence patients´ decisions about these treatments and second to quantify the attributes’ relative importance among patients.MethodsFirst, three focus groups of relapsing-remitting MS patients were formed to compile a preliminary list of attributes using a nominal group technique. Based on this qualitative research, a survey with several choice tasks (best-worst scaling) was developed to prioritize attributes, asking a larger patient group to choose the most and least important attributes. The attributes’ mean relative importance scores (RIS) were calculated.ResultsNineteen patients reported 34 attributes during the focus groups and 185 patients evaluated the importance of the attributes in the survey. The effect on disease progression received the highest RIS (RIS = 9.64, 95% confidence interval: [9.48–9.81]), followed by quality of life (RIS = 9.21 [9.00–9.42]), relapse rate (RIS = 7.76 [7.39–8.13]), severity of side effects (RIS = 7.63 [7.33–7.94]) and relapse severity (RIS = 7.39 [7.06–7.73]). Subgroup analyses showed heterogeneity in preference of patients. For example, side effect-related attributes were statistically more important for patients who had no experience in using disease-modifying drugs compared to experienced patients (p < .001).ConclusionsThis study shows that, on average, patients valued effectiveness and unwanted effects as most important. Clinicians should be aware of the average preferences but also that attributes of disease-modifying drugs are valued differently by different patients. Person-centred clinical decision making would be needed and requires eliciting individual preferences.     

Effect of oil pollution on euendolithic cyanobacteria of the Arabian Gulf

Microbial euendoliths (true borer) cyanobacteria are carbonate-boring microorganisms found in modern and ancient marine environments. Modern euendoliths include a wide range of prokaryotes as well as eukaryotes, which have been reported world-wide. The importance of euendolithic cyanobacteria concerns their role in bio-erosion of calcium carbonate substrates and as ecological indicators of shallow, tropical and subtropical marine environments. Arabian Gulf ooids from four sites along the east coast of Saudi Arabia have been bored and inhabited by several species of euendolithic cyanobacteria. This assemblage of different species exists simultaneously within the same ooid grain. Comparisons of 1989 and 1992 data reveal a drastic reduction in active euendoliths, and the average numbers of colonies in these ooids. This study reveals the harmful effect of the 1991 oil spill on these unique microorganisms residing in these ooids.     

Peptidome profiling of induced sputum by mesoporous silica beads and MALDI-TOF MS for non-invasive biomarker discovery of chronic inflammatory lung diseases

Induced sputum is recognized as being of increasing importance for the diagnosis and monitoring of chronic inflammatory lung diseases. The main purpose of this study is to provide a valid approach to better fractionate and characterize the still under-estimated low-molecular weight proteome of induced sputum by using mesoporous silica beads (MSBs) SPE coupled to MALDI-TOF MS. Sputum peptides were captured from both derivatized and non-derivatized MSBs and then profiled by MALDI-TOF MS. Depending on the chemical groups present on the mesoporous surface, complex peptide mixtures were extracted from induced sputum and converted into reproducible MALDI profiles. The number of peaks detected as a function of S/N was evaluated for each mesoporous surface. More than 400 peaks with an S/N>5 were obtained in comparison to 200 peaks detected without MSBs. Additionally, as a proof-of-principle, we investigated the ability of this platform to discriminate between the "sputome" of patients with asthma and chronic obstructive pulmonary disease, and between these groups and those of healthy control subjects. Six m/z peaks emerged as potential diagnostic peptidic patterns able to differentiate these inflammatory airway diseases in the sputome range. Human α-defensins (human neutrophil peptide (HNP)1, HNP2, HNP3) and three C-terminal amidated peptides, one of which is phosphorylated on serine, were identified by MALDI-TOF/TOF MS. These findings may contribute to defining a high-throughput screening MS-based platform for monitoring key peptidic-biomarkers for inflammatory and chronic respiratory diseases in induced sputum samples.     

Epidemiology of Free-Living Ameba Infections1

Small free-living amebas belonging to the genera Acanthamoeba and Naegleria occur world-wide. They have been isolated from a variety of habitats including fresh water, thermal discharges of power plants, soil, sewage and also from the nose and throats of patients with respiratory illness as well as healthy persons. Although the true incidence of human infections with these amebas is not known, it is believed that as many as 200 cases of central nervous system infections due to these amebas have occurred world-wide. A majority (144) of these cases have been due to Naegleria fowleri which causes an acute, fulminating disease, primary amebic meningoencephalitis. The remaining 56 cases have been reported as due either to Acanthamoeba or some other free-living ameba which causes a subacute and/or chronic infection called granulomatous amebic encephalitis (GAE). Acanthamoeba, in addition to causing GAE, also causes nonfatal, but nevertheless painful, vision-threatening infections of the human cornea, Acanthamoeba keratitis. Infections due to Acanthamoeba have also been reported in a variety of animals. These observations, together with the fact that Acanthamoeba spp., Naegleria fowleri, and Hartmannella sp. can harbor pathogenic microorganisms such as Legionella and or mycobacteria indicate the public health importance of these amebas.     

Comparative metabolite profiling and fingerprinting of medicinal licorice roots using a multiplex approach of GC–MS,LC–MS and 1D NMR techniques

Glycyrrhiza glabra, commonly known as licorice, is a popular herbal supplement used for the treatment of chronic inflammatory conditions and possesses anticancer and antiviral activities. This species contains a plethora of phytochemicals including terpenoids, saponins, flavonoids, polyamines and polysaccharides. The full complement of bioactive compounds has yet to be elucidated, a step necessary in order to explain its medicinal use. There are over 30 species in the Glycyrrhiza genus world-wide, most of which have been little characterized in terms of phytochemical or pharmacological properties. Here, large scale multi-targeted metabolic profiling and fingerprinting techniques were utilized to help gain a broader insight into Glycyrrhiza species chemical composition. UV, MS and NMR spectra of extracted components were connected with NMR, MS, and multivariate analyses data from Glycyrrhiza glabra, Glycyrrhiza uralensis, Glycyrrhiza inflata and Glycyrrhiza echinata. Major peaks in ¹H NMR and MS spectra contributing to the discrimination among species were assigned as those of glycyrrhizin, 4-hydroxyphenyl acetic acid, and glycosidic conjugates of liquiritigenin/isoliquiritigenin. Primary metabolites profiling using GC–MS revealed the presence of cadaverine, an amino acid, exclusively found in G. inflata roots. Both LC–MS and NMR were found effective techniques in sample classification based on genetic and or geographical origin as revealed from derived PCA analysis.     

PNA monomers fully compatible with standard Fmoc-based solid-phase synthesis of pseudocomplementary PNA

Here we report the synthesis of new PNA monomers for pseudocomplementary PNA (pcPNA) that are fully compatible with standard Fmoc chemistry. The thiocarbonyl group of the 2-thiouracil (sU) monomer was protected with the 4-methoxy-2-methybenzyl group (MMPM), while the exocyclic amino groups of diaminopurine (D) were protected with Boc groups. The newly synthesized monomers were incorporated into a 10-mer PNA oligomer using standard Fmoc chemistry for solid-phase synthesis. Oligomerization proceeded smoothly and the HPLC and MALDI-TOF MS analyses indicated that there was no remaining MMPM on the sU nucleobase. The new PNA monomers reported here would facilitate a wide range of applications, such as antigene PNAs and DNA nanotechnologies.     

紫茎泽兰一种潜在化感活性物质的分离鉴定

【背景】紫茎泽兰潜在的化感效应可能是其具有极强入侵性的重要原因。目前,针对紫茎泽兰潜在化感活性物质的研究主要集中于偏小极性的萜烯类化合物,而对大极性化学物质的研究相对较少。【方法】采用活性跟踪分析法对紫茎泽兰乙酸乙酯提取物大极性亚组分进行潜在化感活性物质的跟踪分离,并用现代波谱技术解析其化学结构,最后就分离获得的单体成分与已报道的化感活性物质羟基泽兰酮（2）和泽兰二酮（3）以及信号分子JA-Ile在抑制拟南芥种子萌发和幼苗根生长方面进行潜在化感活性的对比分析。【结果】分离鉴定出一个具有潜在强化感活性的大极性化合物2．香豆酸葡萄糖苷（1）,研究发现该化合物虽然对拟南芥种子萌发的抑制作用不显著,但在0．1mmol·L^-1的浓度条件下对拟南芥幼苗根生长却有着比羟基泽兰酮和泽兰二酮更为显著的抑制活性,且其抑制作用的浓度一活性关系与信号分子JA-Ile类似。【结论与意义】紫茎泽兰中潜在大极性的非萜烯类化感活性物质对于紫茎泽兰的综合化感效应可能同样具有重要而不可或缺的作用,化合物1等潜在大极性化感活性物质的逐步揭示对于系统解析紫茎泽兰的化感效应机制具有重要意义。     

Protein expression changes in ovarian cancer during the transition from benign to malignant

Epithelial ovarian carcinoma has in general a poor prognosis since the vast majority of tumors are genomically unstable and clinically highly aggressive. This results in rapid progression of malignancy potential while still asymptomatic and thus in late diagnosis. It is therefore of critical importance to develop methods to diagnose epithelial ovarian carcinoma at its earliest developmental stage, that is, to differentiate between benign tissue and its early malignant transformed counterparts. Here we present a shotgun quantitative proteomic screen of benign and malignant epithelial ovarian tumors using iTRAQ technology with LC-MALDI-TOF/TOF and LC-ESI-QTOF MS/MS. Pathway analysis of the shotgun data pointed to the PI3K/Akt signaling pathway as a significant discriminatory pathway. Selected candidate proteins from the shotgun screen were further confirmed in 51 individual tissue samples of normal, benign, borderline or malignant origin using LC-MRM analysis. The MRM profile demonstrated significant differences between the four groups separating the normal tissue samples from all tumor groups as well as perfectly separating the benign and malignant tumors with a ROC-area of 1. This work demonstrates the utility of using a shotgun approach to filter out a signature of a few proteins only that discriminates between the different sample groups.     

Highly efficient classification and identification of human pathogenic bacteria by MALDI-TOF MS

Accurate and rapid identification of pathogenic microorganisms is of critical importance in disease treatment and public health. Conventional work flows are time-consuming, and procedures are multifaceted. MS can be an alternative but is limited by low efficiency for amino acid sequencing as well as low reproducibility for spectrum fingerprinting. We systematically analyzed the feasibility of applying MS for rapid and accurate bacterial identification. Directly applying bacterial colonies without further protein extraction to MALDI-TOF MS analysis revealed rich peak contents and high reproducibility. The MS spectra derived from 57 isolates comprising six human pathogenic bacterial species were analyzed using both unsupervised hierarchical clustering and supervised model construction via the Genetic Algorithm. Hierarchical clustering analysis categorized the spectra into six groups precisely corresponding to the six bacterial species. Precise classification was also maintained in an independently prepared set of bacteria even when the numbers of m/z values were reduced to six. In parallel, classification models were constructed via Genetic Algorithm analysis. A model containing 18 m/z values accurately classified independently prepared bacteria and identified those species originally not used for model construction. Moreover bacteria fewer than 10(4) cells and different species in bacterial mixtures were identified using the classification model approach. In conclusion, the application of MALDI-TOF MS in combination with a suitable model construction provides a highly accurate method for bacterial classification and identification. The approach can identify bacteria with low abundance even in mixed flora, suggesting that a rapid and accurate bacterial identification using MS techniques even before culture can be attained in the near future.     

Gray matter imaging in multiple sclerosis: what have we learned?

At the early onset of the 20^th century, several studies already reported that the gray matter was implicated in the histopathology of multiple sclerosis (MS). However, as white matter pathology long received predominant attention in this disease, and histological staining techniques for detecting myelin in the gray matter were suboptimal, it was not until the beginning of the 21^st century that the true extent and importance of gray matter pathology in MS was finally recognized. Gray matter damage was shown to be frequent and extensive, and more pronounced in the progressive disease phases. Several studies subsequently demonstrated that the histopathology of gray matter lesions differs from that of white matter lesions. Unfortunately, imaging of pathology in gray matter structures proved to be difficult, especially when using conventional magnetic resonance imaging (MRI) techniques. However, with the recent introduction of several more advanced MRI techniques, the detection of cortical and subcortical damage in MS has considerably improved. This has important consequences for studying the clinical correlates of gray matter damage. In this review, we provide an overview of what has been learned about imaging of gray matter damage in MS, and offer a brief perspective with regards to future developments in this field.     

Measurement of 8-hydroxy-2'-deoxyadenosine in DNA by liquid chromatography/mass spectrometry.

8-Hydroxyadenine (8-OH-Ade) is one of the major lesions, which is formed in DNA by hydroxyl radical attack on the C-8 position of adenine followed by oxidation. We describe the measurement of the nucleoside form of this compound, 8-hydroxy-2'-deoxyadenosine (8-OH-dAdo) in DNA by liquid chromatography/mass spectrometry (LC/MS). The developed methodology enabled the separation by LC of 8-OH-dAdo from intact and modified nucleosides in enzymic hydrolysates of DNA. Measurements by MS were performed using atmospheric pressure ionization-electrospray process. Isotope-dilution MS was applied for quantification using a stable isotope-labeled analog of 8-OH-dAdo. The level of sensitivity of LC/MS with selected-ion monitoring (SIM) for 8-OH-dAdo amounted to approximately 10 femtomol of this compound on the LC column. This level of sensitivity is similar to that previously reported using LC-tandem MS (LC/MS/MS) with multiple-reaction monitoring mode (MRM) (7.5 femtomol). This compound was quantified in DNA at a level of approximately one molecule/10(6) DNA bases using amounts of DNA as low as 5 microg. The results suggested that this lesion may be quantified in DNA at even lower levels, when more DNA is used for analysis. In addition, gas chromatography/isotope-dilution mass spectrometry with SIM (GC/IDMS-SIM) was applied to measure 8-OH-Ade in DNA following its removal from DNA by acidic hydrolysis. The background levels of 8-OH-dAdo and 8-OH-Ade measured by LC/IDMS-SIM and GC/IDMS-SIM, respectively, were nearly identical. In addition, DNA samples, which were exposed to ionizing radiation at different radiation doses, were analyzed by these techniques. Nearly identical results were obtained, indicating that both LC/IDMS-SIM and GC/IDMS-SIM can provide similar results. The level of sensitivity of GC/MS-SIM for 8-OH-Ade was also measured and found to be significantly greater than that of LC/MS-SIM and the reported sensitivity of LC/MS/MS-MRM for 8-OH-dAdo. The results show that the LC/MS technique is well suited for the measurement of 8-OH-dAdo in DNA.     

两种书虱微卫星富集文库的构建及比较

利用链霉亲和素与生物素之间的强亲和性原理,将链霉亲和素偶联的磁珠与微卫星探针(AC)12、(TC)12、(ATC)8、(ATG)8、(AAC)8、(ATAC)6及(GATA)6退火结合后,再亲和捕捉含接头和微卫星序列的单链书虱基因组DNA限制性酶切目的片段,经PCR扩增形成双链后进行克隆、建库。结果表明本研究成功构建了嗜卷书虱和嗜虫书虱共13个微卫星富集文库,包括6个嗜卷书虱文库,7个嗜虫书虱文库,其平均阳性克隆率为71.17%。经检测发现共得到两种书虱260个微卫星位点。这两种书虱微卫星富集文库的建立和高多态性微卫星位点的筛选将为嗜卷书虱和嗜虫书虱的种群遗传与进化、基因连锁图谱构建、分子系统发育研究等提供大量分子遗传标记,对其在实仓中的持续控制提供遗传学信息。