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141.
目的探讨不同分娩方式对婴儿出生后1年内肠道菌群定植的影响。方法选取45例新生儿为研究对象,根据分娩方式分为自然分娩组(n=27)和剖宫产组(n=18)。收集婴儿出生后0(胎粪)、3、6和12个月的粪便标本,应用高通量测序技术分析肠道菌群多样性及组成。结果与自然分娩组比较,在0个月时剖宫产组婴儿粪便标本拟杆菌门的相对丰度显著降低(Z=-2.374 1,P=0.017 6)。2组研究对象中,除自然分娩组和剖宫产组0个月时婴儿粪便标本分别以埃希菌-志贺菌属和克雷伯菌属为优势菌属外,余下均以双歧杆菌属为优势菌属。相比于自然分娩组,在0个月时剖宫产组婴儿粪便标本埃希菌-志贺菌属和肠杆菌属所占比例显著降低(Z=-2.136 4,P=0.032 7;Z=-2.940 8,P=0.003 3),克雷伯菌属和罗氏菌属所占比例显著升高(Z=-2.642 4,P=0.008 2;Z=-2.299 4,P=0.021 5);6个月时罗氏菌属所占比例显著降低(Z=-2.045 0,P=0.040 9),肠球菌属所占比例显著升高(Z=-2.109 2,P=0.034 9)。结论不同分娩方式下的婴儿肠道菌群的构成存在显著差异。 相似文献
142.
火作为一个基础的生态因子, 对森林、草地等陆地生态系统的结构和功能有着重要的影响。种子萌发是种子植物的重要生活史阶段, 也是火后植被更新和恢复的主要途径。植被燃烧产生了烟、热以及与烟相关的一系列火烧信号, 在打破种子休眠, 促进种子萌发方面发挥重要作用。该文将火烧信号分为物理信号和化学信号, 物理信号主要是伴随火烧产生的高温, 化学信号主要包括气态烟以及近年来从烟水中提取的影响种子萌发的关键化学物质karrikins和glyceronitrile。该文围绕火烧的基本信息, 火烧信号对种子萌发的影响, 火烧信号在实践中的应用3个方面进行系统综述, 重点探讨了不同类别的火烧信号及其交互作用对种子萌发的影响。在系统总结火烧信号对种子萌发影响的研究进展的基础上, 提出未来的研究应与烟信号作用机理的探究以及全球变化等方面相结合, 旨在充分发挥火的生态服务功能, 为火的科学管理应用和退化生态系统恢复提供理论支撑。 相似文献
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144.
黑果枸杞(Lycium ruthenicum)是重要的药食同源植物, 在干旱荒漠区发挥着防风固沙的重要生态功能, 但目前片段化分布日趋严重。该研究利用黑果枸杞在新疆的87个自然分布点和基准气候(1971-2000年)下的19个气候变量, 利用GIS空间分析和R软件Biomod2建模平台, 模拟分析黑果枸杞在新疆的适宜分布范围、空间分布特征及其关键限制因子; 并结合研究区土地利用/土地覆被现状, 评价其分布潜力; 同时对黑果枸杞的南北疆种群进行分组建模, 分析该植物的生态位分化。研究结果表明: (1)组合模型的真实技巧统计(TSS)均高于0.75、接收工作机特征曲线下的面积(AUC)均高于0.85, 模拟精度相比单个模型有明显提高; 组合模型得到的种下分组建模的模拟准确性较物种水平有显著提升, TSS均高于0.78、AUC均高于0.88; (2)根据组合模型的模拟结果, 黑果枸杞在新疆的适宜生境面积占比为36.72%, 主要分布于准噶尔盆地、天山北坡及塔里木盆地西北缘和西南缘; 其中, 高度适生区面积占比为5.19%, 集中于福海县、塔城地区东部、天山北坡博乐至阜康一线、库尔勒、柯坪县及塔里木盆地西南缘。高度与中度适生区与研究区耕地的重叠率达80.6%和50.8%; (3)南北疆黑果枸杞种群存在显著的生态位分化, 最暖季平均气温、等温性、降水季节性是驱动黑果枸杞局部环境适应性分化的主要因子。 相似文献
145.
采用水蒸气蒸馏法和气相色谱-质谱联用技术(GC-MS)分析阔叶百里香(Thymus pulegioides)鲜、干茎叶精油含油率、化学组成及其相对含量的差异,并比较精油对链格孢(Alternaria alternata)、粉红单端孢(Trichothecium roseum)和意大利青霉(Penicillium italicum)的抑制效果。鲜、干茎叶含精油率分别为0.53%、0.37%,分别鉴定出35、40种化合物,其主要化学成分相同,均含有百里香酚(鲜样31.30%,干样26.82%)、麝香草酚甲醚、右旋龙脑和邻伞花烃等,只是相对含量略有差异;在抑菌实验中,百里香精油对链格孢菌的抑制作用最为明显,其次是意大利青霉和粉红单端孢。鲜、干阔叶百里香精油的组分较为接近,相对含量略有差异;阔叶百里香精油对3种真菌具有较好的抑制效果,且鲜样精油的抑菌效果好于干样精油。 相似文献
146.
147.
稻飞虱是我国及亚洲各水稻产区的重大害虫,在我国成灾危害的种类主要为白背飞虱Sogatella furcifera、褐飞虱Nilaparvata lugens、灰飞虱Laodelphax striatellus.稻飞虱不仅通过韧皮部吸取汁液而且传播多种水稻病毒,对我国水稻每年产量巨大损失.目前,稻飞虱对多种常用化学杀虫剂产生了较高的抗性.因此,急需寻找新的绿色防治方法.当前,"反向化学生态"是化学防治的理想替代方案之一,即通过研究昆虫重要的嗅觉基因功能,揭示嗅觉感受机制,从而找到对昆虫具有吸引作用的小分子化合物,制备诱芯进行田间诱集的绿色防控方法.已有研究证实,嗅觉感受在稻飞虱对水稻植株的定位及危害中发挥重要作用,近年有关稻飞虱嗅觉感受分子机制研究方面也取得不少进展.本文对此进行综述和展望,以期为推动基于嗅觉感受的稻飞虱绿色防控技术的研发提供参考. 相似文献
148.
Treatment of patients diagnosed as schizophrenic with antipsychotic drugs (neuroleptics) is known to cause occasional unexplained depletion of white blood cells, especially neutrophil granulocytes. It has been known for many years that neuroleptics can interfere with the mitochondrial respiratory chain in vitro. Because there has been a growing interest recently in mitochondrial targeting of drugs, and since a quantitative structure-activity relationship (QSAR) model that predicts mitochondrial accumulation of neuroleptics has been published, we investigated the effects of neuroleptics on white blood cell mitochondria. Venous blood samples were collected from both patients undergoing treatment with neuroleptics and healthy volunteers. The samples were processed for transmission electron microscopy. The resulting images of white blood cells were analyzed using stereology to compare quantitatively mitochondrial morphology in the patient and control groups. We found that in patients, but not in controls, there was swelling of mitochondria and fragmentation of the mitochondrial cristae. There also were fewer mitochondria in patients than in controls, although due to the swelling of the organelles, the volume density of mitochondria in the two groups was not significantly different. Such changes are typical of a toxic insult. Consequently, it seems plausible that, since schizophrenia is not a disease considered to affect white blood cells per se, these changes probably are due to the medication. 相似文献
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150.
Dominik A. Megger Thilo Bracht Michael Kohl Maike Ahrens Wael Naboulsi Frank Weber Andreas-Claudius Hoffmann Christian Stephan Katja Kuhlmann Martin Eisenacher J?rg F. Schlaak Hideo A. Baba Helmut E. Meyer Barbara Sitek 《Molecular & cellular proteomics : MCP》2013,12(7):2006-2020
Proteomics-based clinical studies have been shown to be promising strategies for the discovery of novel biomarkers of a particular disease. Here, we present a study of hepatocellular carcinoma (HCC) that combines complementary two-dimensional difference in gel electrophoresis (2D-DIGE) and liquid chromatography (LC-MS)-based approaches of quantitative proteomics. In our proteomic experiments, we analyzed a set of 14 samples (7 × HCC versus 7 × nontumorous liver tissue) with both techniques. Thereby we identified 573 proteins that were differentially expressed between the experimental groups. Among these, only 51 differentially expressed proteins were identified irrespective of the applied approach. Using Western blotting and immunohistochemical analysis the regulation patterns of six selected proteins from the study overlap (inorganic pyrophosphatase 1 (PPA1), tumor necrosis factor type 1 receptor-associated protein 1 (TRAP1), betaine-homocysteine S-methyltransferase 1 (BHMT)) were successfully verified within the same sample set. In addition, the up-regulations of selected proteins from the complements of both approaches (major vault protein (MVP), gelsolin (GSN), chloride intracellular channel protein 1 (CLIC1)) were also reproducible. Within a second independent verification set (n = 33) the altered protein expression levels of major vault protein and betaine-homocysteine S-methyltransferase were further confirmed by Western blots quantitatively analyzed via densitometry. For the other candidates slight but nonsignificant trends were detectable in this independent cohort. Based on these results we assume that major vault protein and betaine-homocysteine S-methyltransferase have the potential to act as diagnostic HCC biomarker candidates that are worth to be followed in further validation studies.Hepatocellular carcinoma (HCC)1 currently is the fifth most common malignancy worldwide with an annual incidence up to 500 per 100,000 individuals depending on the geographic region investigated. Whereas 80% of new cases occur in developing countries, the incidence increases in industrialized nations including Western Europe, Japan, and the United States (1). To manage patients with HCC, tumor markers are very important tools for diagnosis, indicators of disease progression, outcome prediction, and evaluation of treatment efficacy. Several tumor markers have been reported for HCC, including α-fetoprotein (AFP) (2), Lens culinaris agglutinin-reactive fraction of AFP (AFP-L3) (3), and des-γ-carboxyl prothrombin (DCP) (4). However, none of these tumor markers show 100% sensitivity or specificity, which calls for new and better biomarkers.To identify novel biomarkers of HCC, many clinical studies using “omics”-based methods have been reported over the past decade (5–6). In particular, the proteomics-based approach has turned out to be a promising one, offering several quantification techniques to reveal differences in protein expression that are caused by a particular disease. In most studies, the well-established 2D-DIGE technique has been applied for protein quantification followed by identification via mass spectrometry (7–15). Even if the quantification is very accurate and sensitive in this gel-based approach, the relatively high amount of protein sample necessary for protein identification is the major disadvantage of this technique. Several mass-spectrometry-based quantitative studies using labeling-techniques like SILAC (stable isotope labeling by amino acids in cell culture) or iTRAQ (isobaric tags for relative and absolute quantification) have also been carried out for biomarker discovery of HCC (16–18). Here, the concomitant protein quantification and identification in a mass spectrometer allows high-throughput analyses. However, such experiments imply additional labeling reactions (in case of iTRAQ) or are limited to tissue culture systems (in case of SILAC). In the latter case, one can overcome the limitation by using the isotope-labeled proteins obtained from tissue culture as an internal standard added to a corresponding tissue sample. This approach is known as CDIT (culture-derived isotope tags) and was applied in a HCC study, very recently (19). Label-free proteomics approaches based on quantification by ion-intensities or spectral counting offer another possibility for biomarker discovery. These approaches are relatively cheap compared with the labeling approaches, because they do not require any labeling reagents and furthermore they allow for high-throughput and sensitive analyses in a mass spectrometer. A quantitative study of HCC using spectral counting has been reported (20), whereas to our knowledge an ion-intensity-based study has not been performed yet. Apart from these quantification strategies, protein alterations in HCC have been studied by MALDI imaging, as well. Here, the authors could show that based on its proteomic signature, hepatocellular carcinoma can be discriminated with high accuracy from liver metastasis samples or other cancer types (21) as well as liver cirrhosis (22). Based on these results, it could be assumed that MALDI imaging might be a promising alternative to standard histological methods in the future.Here, we report a quantitative proteomic study that combines two different techniques, namely the well-established 2D-DIGE approach and a label-free ion-intensity-based quantification via mass spectrometry and liquid chromatography. To our knowledge this is the first time such a combined study was performed with regard to hepatocellular carcinoma. By comparing the results of both studies, we aim to identify high-confident biomarker candidates of HCC, as gel- and LC-MS-based techniques are complementary. To verify the differential protein expressions detected in our proteomic studies we performed additional immunological verifications for selected proteins within two different sample sets (Fig. 1).Open in a separate windowFig. 1.Schematic representation of the applied workflow. 相似文献