Gatekeeper role of brain antigen‐presenting CD11c+ cells in neuroinflammation

Multiple sclerosis is the most frequent chronic inflammatory disease of the CNS. The entry and survival of pathogenic T cells in the CNS are crucial for the initiation and persistence of autoimmune neuroinflammation. In this respect, contradictory evidence exists on the role of the most potent type of antigen‐presenting cells, dendritic cells. Applying intravital two‐photon microscopy, we demonstrate the gatekeeper function of CNS professional antigen‐presenting CD11c⁺ cells, which preferentially interact with Th17 cells. IL‐17 expression correlates with expression of GM‐CSF by T cells and with accumulation of CNS CD11c⁺ cells. These CD11c⁺ cells are organized in perivascular clusters, targeted by T cells, and strongly express the inflammatory chemokines Ccl5, Cxcl9, and Cxcl10. Our findings demonstrate a fundamental role of CNS CD11c⁺ cells in the attraction of pathogenic T cells into and their survival within the CNS. Depletion of CD11c⁺ cells markedly reduced disease severity due to impaired enrichment of pathogenic T cells within the CNS.     

The clinical impact of recent advances in LC-MS for cancer biomarker discovery and verification

Mass spectrometry (MS) -based proteomics has become an indispensable tool with broad applications in systems biology and biomedical research. With recent advances in liquid chromatography (LC) and MS instrumentation, LC–MS is making increasingly significant contributions to clinical applications, especially in the area of cancer biomarker discovery and verification. To overcome challenges associated with analyses of clinical samples (for example, a wide dynamic range of protein concentrations in bodily fluids and the need to perform high throughput and accurate quantification of candidate biomarker proteins), significant efforts have been devoted to improve the overall performance of LC–MS-based clinical proteomics platforms. Reviewed here are the recent advances in LC–MS and its applications in cancer biomarker discovery and quantification, along with the potentials, limitations and future perspectives.     

The current state of the art of quantitative phosphoproteomics and its applications to diabetes research

Protein phosphorylation is a fundamental regulatory mechanism in many cellular processes and aberrant perturbation of phosphorylation has been implicated in various human diseases. Kinases and their cognate inhibitors have been considered as hotspots for drug development. Therefore, the emerging tools, which enable a system-wide quantitative profiling of phosphoproteome, would offer a powerful impetus in unveiling novel signaling pathways, drug targets and/or biomarkers for diseases of interest. This review highlights recent advances in phosphoproteomics, the current state of the art of the technologies and the challenges and future perspectives of this research area. Finally, some exemplary applications of phosphoproteomics in diabetes research are underscored.     

Spatial distribution of proteins in the quagga mussel adhesive apparatus

The invasive freshwater mollusc Dreissena bugensis (quagga mussel) sticks to underwater surfaces via a proteinacious ‘anchor’ (byssus), consisting of a series of threads linked to adhesive plaques. This adhesion results in the biofouling of crucial underwater industry infrastructure, yet little is known about the proteins responsible for the adhesion. Here the identification of byssal proteins extracted from freshly secreted byssal material is described. Several new byssal proteins were observed by gel electrophoresis. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry was used to characterize proteins in different regions of the byssus, particularly those localized to the adhesive interface. Byssal plaques and threads contain in common a range of low molecular weight proteins, while several proteins with higher mass were observed only in the plaque. At the adhesive interface, a plaque-specific ~8.1 kDa protein had a relative increase in signal intensity compared to the bulk of the plaque, suggesting it may play a direct role in adhesion.     

Change in Chemical Composition of Sweet Basil (Ocimum basilicum L.) Essential Oil Caused by Alfalfa mosaic virus

The effects of Alfalfa mosaic virus (AMV) infection on essential oil (EO) content and composition of a Sweet Basil cv. Gigante di Napoli were evaluated. A 10‐fold lower extraction yield from infected plants was observed, suggesting that morphological alterations induced by the disease may affect abundance and efficacy of secretive tissues. Organoleptic properties and thus quality of EO were severely affected and EO composition resulted severely altered, with a great increase in sesquiterpenes (from 72.8 to 19.8%) and a decrease in both monoterpenes (from 35 to 11%) and phenylpropanoids (from 44.5 to 15.8%, despite a slight increase in eugenol). Such report is indicative of possible direct or indirect metabolic consequences of AMV in a commercially important species like Ocimum basilicum is. The possible consequences of linalool and trans‐β‐farnesene content changes on the dispersion of viruliferous aphids are also examined and discussed.     

Modification of quercetin with l-cysteine by horseradish peroxidase

Horseradish peroxidase is a well-known member of the peroxidase family that catalyzes oxidation of flavonoids and phenolic substrates to free phenoxyl or semiquinone radicals. Aim of this study was to investigate in vitro oxidation of quercetin by horseradish peroxidase in the presence of l-cysteine as nucleophilic agent, and its influence on previously formed semiquinone- and quinone-type metabolites. The obtained results showed that in the reaction without l-cysteine several products were present, such as quercetin quinone methide, phloroglucinol carboxylic acid, protocatechuic acid, as well as quercetin heterodimer and derivates of quercetin heterodimer. On the other hand, in the presence of l-cysteine only three products were obtained, quercetin quinone methide and two new isomeric mono-cysteine derivatives of quercetin with mass exp. m/z 420.04?±?0.1 [quercetin?+?cysteine–H]^– (theor. m/z 420.0389 [quercetin?+?cysteine–H]^–).     

飞行质谱鉴定临床分离真菌准确度的Meta分析

目的基于循证医学系统性评价飞行质谱鉴定临床分离真菌的准确度,并与常规方法准确度进行比较。方法检索主要英文数据库PubMed、Cochrane、Web of Science,以及中文数据库CBM、万方、维普、知网数据库,检索飞行质谱鉴定临床分离真菌的原始文献。结果经筛选后纳入19篇文献(6609株真菌),Meta分析结果显示飞行质谱鉴定真菌至种水平正确率为0.9368(95%CI=0.9091～0.9598),常规方法鉴定真菌至种水平正确率为0.9104(95%CI=0.8874～0.9340);对结果进行了亚组分析,主要包括:菌株类型、研究类型、样本处理方法、金标准检测范围、鉴定阈值等;敏感性分析表明结果稳定可靠,Begg和Egger’s结果表明飞行质谱鉴定真菌不存在发表偏倚,常规方法鉴定真菌存在一定发表偏倚。结论基质辅助激光解吸电离-飞行时间质谱系统(MALDI-TOF MS)方法对鉴定临床致病性真菌准确率较高,是临床常规方法的可靠替代方法。     

Silencing of carbonic anhydrase I enhances the malignant potential of exosomes secreted by prostatic tumour cells

We report results showing that the silencing of carbonic anhydrase I (siCA1) in prostatic (PC3) tumour cells has a significant impact on exosome formation. An increased diameter, concentration and diversity of the produced exosomes were noticed as a consequence of this knock‐down. The protein composition of the exosomes' cargo was also altered. Liquid chromatography and mass spectrometry analyses identified 42 proteins significantly altered in PC3 siCA1 exosomes compared with controls. The affected proteins are mainly involved in metabolic processes, biogenesis, cell component organization and defense/immunity. Interestingly, almost all of them have been described as ‘enhancers' of tumour development through the promotion of cell proliferation, migration and invasion. Thus, our results indicate that the reduced expression of the CA1 protein enhances the malignant potential of PC3 cells.     

Development of a Headspace Solid‐Phase Microextraction Gas Chromatography‐Mass Spectrometry Method to Study Volatile Organic Compounds (VOCs) Emitted by Lavender Roots

A headspace solid‐phase microextraction (HS‐SPME) method combined with gas chromatography‐mass spectrometry (GC/MS) was developed and optimized for the extraction and the analysis of volatile organic compounds (VOCs) from lavandin and fine lavender roots. Optimal parameters to extract volatile molecules from ground and intact roots were determined using a divinylbenzene‐carboxen‐polydimethylsiloxane (DVB/CAR/PDMS) coating fiber at 70 °C for 60 min. A total of 99 VOCs, including 40 monoterpenoids, 15 sesquiterpenoids, 1 diterpenoid and 2 coumarins were detected. The main compounds detected in lavandin roots were fenchol, borneol, and coumarin. Performances of the optimized SPME GC/MS method were evaluated via the comparison of VOC emissions between roots from different cultivars of fine lavender (7713 and maillette) and lavandin (abrial and grosso). Chemometric analysis, using partial least squares‐discriminant analysis (PLS‐DA), suggests fifteen significant features as potential discriminatory compounds. Among them, β‐phellandrene allows discrimination between lavender and lavandin varieties.