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Integration of datasets from different analytical techniques to assess the impact of nutrition on human metabolome

机译:整合来自不同分析技术的数据集以评估营养对人体代谢组的影响

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摘要

Bacteria colonizing the human intestinal tract exhibit a high phylogenetic diversity that reflects their immense metabolic potentials. The catalytic activity of gut microbes has an important impact on gastrointestinal (GI) functions and host health. The microbial conversion of carbohydrates and other food components leads to the formation of a large number of compounds that affect the host metabolome and have beneficial or adverse effects on human health. Metabolomics is a metabolic-biology system approach focused on the metabolic responses understanding of living systems to physio-pathological stimuli by using multivariate statistical data on human body fluids obtained by different instrumental techniques. A metabolomic approach based on an analytical platform could be able to separate, detect, characterize and quantify a wide range of metabolites and its metabolic pathways. This approach has been recently applied to study the metabolic changes triggered in the gut microbiota by specific diet components and diet variations, specific diseases, probiotic and synbiotic food intake. This review describes the metabolomic data obtained by analyzing human fluids by using different techniques and particularly Gas Chromatography Mass Spectrometry Solid-phase Micro Extraction (GC-MS/SPME), Proton Nuclear Magnetic Resonance (1H-NMR) Spectroscopy and Fourier Transform Infrared (FTIR) Spectroscopy. This instrumental approach has a good potential in the identification and detection of specific food intake and diseases biomarkers.
机译:定居在人类肠道的细菌表现出很高的系统发育多样性,反映了其巨大的代谢潜能。肠道微生物的催化活性对胃肠(GI)功能和宿主健康具有重要影响。碳水化合物和其他食物成分的微生物转化导致形成大量影响宿主代谢组并对人体健康产生有利或不利影响的化合物。代谢组学是一种代谢生物学系统方法,其重点是通过使用通过不同仪器技术获得的有关人体体液的多元统计数据,来理解生命系统对生理病理刺激的代谢反应。基于分析平台的代谢组学方法可以分离,检测,表征和定量各种代谢物及其代谢途径。这种方法最近已被用于研究肠道微生物群中由特定饮食成分和饮食变化,特定疾病,益生菌和合生元食物摄入引起的代谢变化。这篇综述描述了通过使用不同的技术,特别是气相色谱质谱固相微萃取(GC-MS / SPME),质子核磁共振( 1 H-NMR)分析人体液体获得的代谢组学数据光谱和傅里叶变换红外(FTIR)光谱。这种仪器化方法在识别和检测特定食物摄入和疾病生物标志物方面具有良好的潜力。

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