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首页> 外文期刊>Analytical chemistry >Holistic Lipidomics of the Human Gut Phenotype Using Validated Ultra-High-Performance Liquid Chromatography Coupled to Hybrid Orbitrap Mass Spectrometry
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Holistic Lipidomics of the Human Gut Phenotype Using Validated Ultra-High-Performance Liquid Chromatography Coupled to Hybrid Orbitrap Mass Spectrometry

机译:使用验证的超高效液相色谱法与杂交丁基型质谱法相偶联的人体肠道表型的整体脂质学

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摘要

As lipids are assigned a plethora of biological functions, it is evident that dysregulated lipid metabolism signifies a key element in many pathological conditions. With this rationale, this study presents a validated lipidomics platform to map the fecal lipidome, which integrates unique information about host–gut microbiome interactions, gastrointestinal functionality, and dietary patterns. This particular method accomplished coverage across all eight lipid categories: fatty acyls, glycerolipids, phosphoglycerolipids, polyketides, prenols, saccharolipids, sphingolipids, and sterols. Generic extraction of freeze-dried feces was achieved by solid–liquid extraction using methanol and methyl tert-butyl ether. Extracted components were separated by liquid chromatography, whereby the selected ethylene-bridged hybrid phenyl ultra-high-performance liquid chromatography stationary phase allowed fast separation of both individual lipid species and categories. Detection was achieved by high-resolution full-scan Q-Exactive Orbitrap mass spectrometry and covered a broad m/z scan range (67–2300 Da). Method validation was performed in a targeted fashion to evaluate the analytical performance across all lipid categories, revealing excellent linearity (R2 ≥ 0.9921), acceptable repeatability (coefficients of variance ≤15.6%), and stable recovery (coefficients of variance ≤11.9%). Method suitability for untargeted fingerprinting was verified, demonstrating adequate linearity (R2 ≥ 0.90) for 75.3% and acceptable repeatability (coefficients of variance ≤30%) for 84.5% of about 9000 endogenous fecal compounds. Eventually, the potential of fecal lipidomics was exemplified within a clinical context of type 2 diabetes, thereby revealing significant perturbations [orthogonal partial least-squares discriminant analysis Q2(Y) of 0.728] in the fecal lipidome between participants with normal blood glucose levels (n = 26) and those with type 2 diabetes (n = 17).]]>
机译:<![cdata [ src ='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ancham/2017/ancham.2017.89.issue-22/acs.analchem.7b03606/ 20171115 / Images / Medium / Ac-2017-03606Z_0004.gif“>作为脂质被分配了一种过多的生物学功能,显然具有失调的脂质代谢在许多病理条件下表现出关键要素。通过这项理由,本研究表明了验证的脂质族学平台,用于映射粪便脂质体,该平台整合有关宿主微生物组相互作用,胃肠功能和膳食模式的独特信息。这种特殊方法在所有八种脂质类别中完成了覆盖率:脂肪酰基,甘油脂,磷甘油脂,聚酮化合物,prenols,Saccharolids,鞘脂和甾醇。通过使用甲醇和甲基叔丁醚的固液萃取实现冷冻干燥粪便的通用提取。通过液相色谱分离提取的组分,其中选定的乙烯 - 桥接杂交苯基超高效液相色谱固定相允许快速分离单独的脂质物种和类别。通过高分辨率全扫描Q-辐射露谱法质谱法,覆盖宽扫描范围(67-2300Da),通过高分辨率全扫描Q-辐射锻体质谱法实现。方法验证以目标方式进行,以评估所有脂质类别的分析性能,揭示出优异的线性度( R 2 ≥0.9921),可接受的重复性(方差系数≤15.6 %),稳定恢复(方差系数≤11.9%)。验证了针对未确定指纹识别的方法适用性,证明了足够的线性度( R 2 ≥0.90),可获得75.3%,可接受的可重复性(方差系数≤30%)为84.5% 9000内源性粪便化合物。最终,在2型糖尿病的临床背景下举例说明粪脂族的潜力,从而揭示了显着的扰动[正交部分最小二乘判别分析 q 2 ( y )0.728]在患有正常血糖水平的参与者( n = 26)和2型糖尿病( n = 17)之间的粪便脂质体中。]]>

著录项

  • 来源
    《Analytical chemistry》 |2017年第22期|共9页
  • 作者单位

    Laboratory of Chemical Analysis Department of Veterinary Public Health and Food Safety Faculty of Veterinary Medicine Ghent University Salisburylaan 133 9820 Merelbeke Belgium;

    Laboratory of Chemical Analysis Department of Veterinary Public Health and Food Safety Faculty of Veterinary Medicine Ghent University Salisburylaan 133 9820 Merelbeke Belgium;

    Laboratory of Chemical Analysis Department of Veterinary Public Health and Food Safety Faculty of Veterinary Medicine Ghent University Salisburylaan 133 9820 Merelbeke Belgium;

    Laboratory of Chemical Analysis Department of Veterinary Public Health and Food Safety Faculty of Veterinary Medicine Ghent University Salisburylaan 133 9820 Merelbeke Belgium;

    Inflammatory Bowel Disease Research Unit Department of Internal Medicine and Department of Endocrinology Ghent University Hospital De Pintelaan 185 9000 Ghent Belgium;

    Inflammatory Bowel Disease Research Unit Department of Internal Medicine and Department of Endocrinology Ghent University Hospital De Pintelaan 185 9000 Ghent Belgium;

    Laboratory of Chemical Analysis Department of Veterinary Public Health and Food Safety Faculty of Veterinary Medicine Ghent University Salisburylaan 133 9820 Merelbeke Belgium;

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  • 正文语种 eng
  • 中图分类 分析化学;
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