用于分析食品碳水化合物的多聚糖平台。

IF 13.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Nature Protocols Pub Date : 2024-07-18 DOI:10.1038/s41596-024-01017-8
Garret Couture, Shawn Ehlers Cheang, Christopher Suarez, Ye Chen, Nikita P. Bacalzo Jr, Jiani Jiang, Cheng-Yu Charlie Weng, Aaron Stacy, Juan J. Castillo, Omar Delannoy-Bruno, Daniel M. Webber, Michael J. Barratt, Jeffrey I. Gordon, David A. Mills, J. Bruce German, Naomi K. Fukagawa, Carlito B. Lebrilla
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引用次数: 0

摘要

碳水化合物在大多数饮食中占比最大,对健康影响深远。单糖和淀粉等成分提供能量,而膳食纤维等不易消化的成分则进入结肠,为组成肠道微生物群的数万亿微生物提供食物。膳食碳水化合物、我们的胃肠道、肠道微生物群和宿主健康之间的相互作用是由其结构决定的。然而,目前分析食物聚糖的方法缺乏灵敏度、特异性和通量,无法量化和阐明这些千变万化的结构。本方案介绍了一种分析食物碳水化合物的多聚糖方法,分析对象可以是任何食物或生物材料,如粪便和盲肠样本。通过乙醇沉淀法提取碳水化合物,然后对得到的样品进行快速液相色谱-串联质谱(LC-MS/MS)分析。单糖、糖苷键、多糖和醇溶性碳水化合物的定量分析是在 96 孔板中以毫克为单位进行的,从而减少了所需样品的生物量,提高了通量。我们提供了样品制备、LC-MS/MS 和数据分析的详细步骤。我们说明了该方案在各种食品、不同苹果品种和各种发酵食品中的应用。此外,我们还展示了这些方法在阐明无菌小鼠和定植小鼠中糖类与微生物相互作用方面的实用性。这些方法为阐明膳食纤维、肠道微生物组和人体生理学之间的关系提供了一个框架。这些结构将进一步指导营养和临床喂养研究,加深我们对饮食在营养和健康中作用的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A multi-glycomic platform for the analysis of food carbohydrates
Carbohydrates comprise the largest fraction of most diets and exert a profound impact on health. Components such as simple sugars and starch supply energy, while indigestible components, deemed dietary fiber, reach the colon to provide food for the tens of trillions of microbes that make up the gut microbiota. The interactions between dietary carbohydrates, our gastrointestinal tracts, the gut microbiome and host health are dictated by their structures. However, current methods for analysis of food glycans lack the sensitivity, specificity and throughput needed to quantify and elucidate these myriad structures. This protocol describes a multi-glycomic approach to food carbohydrate analysis in which the analyte might be any food item or biological material such as fecal and cecal samples. The carbohydrates are extracted by ethanol precipitation, and the resulting samples are subjected to rapid-throughput liquid chromatography (LC)-tandem mass spectrometry (LC-MS/MS) methods. Quantitative analyses of monosaccharides, glycosidic linkages, polysaccharides and alcohol-soluble carbohydrates are performed in 96-well plates at the milligram scale to reduce the biomass of sample required and enhance throughput. Detailed stepwise processes for sample preparation, LC-MS/MS and data analysis are provided. We illustrate the application of the protocol to a diverse set of foods as well as different apple cultivars and various fermented foods. Furthermore, we show the utility of these methods in elucidating glycan–microbe interactions in germ-free and colonized mice. These methods provide a framework for elucidating relationships between dietary fiber, the gut microbiome and human physiology. These structures will further guide nutritional and clinical feeding studies that enhance our understanding of the role of diet in nutrition and health. Complex carbohydrates that are not broken down by human enzymes are food sources for gut microbiota. Toward understanding this process, this protocol describes the quantitative analysis of carbohydrates in food and fecal samples by using LC-MS/MS.
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来源期刊
Nature Protocols
Nature Protocols 生物-生化研究方法
CiteScore
29.10
自引率
0.70%
发文量
128
审稿时长
4 months
期刊介绍: Nature Protocols focuses on publishing protocols used to address significant biological and biomedical science research questions, including methods grounded in physics and chemistry with practical applications to biological problems. The journal caters to a primary audience of research scientists and, as such, exclusively publishes protocols with research applications. Protocols primarily aimed at influencing patient management and treatment decisions are not featured. The specific techniques covered encompass a wide range, including but not limited to: Biochemistry, Cell biology, Cell culture, Chemical modification, Computational biology, Developmental biology, Epigenomics, Genetic analysis, Genetic modification, Genomics, Imaging, Immunology, Isolation, purification, and separation, Lipidomics, Metabolomics, Microbiology, Model organisms, Nanotechnology, Neuroscience, Nucleic-acid-based molecular biology, Pharmacology, Plant biology, Protein analysis, Proteomics, Spectroscopy, Structural biology, Synthetic chemistry, Tissue culture, Toxicology, and Virology.
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