填料纳米纤维固相萃取与高效液相色谱荧光联用法测定人体尿液中的肠道微生物群-宿主代谢物和吲哚胺

Lanlan Wei, Xuejun Kang
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引用次数: 0

摘要

运动通过调节不同的组织和细胞类型(包括胃肠道内的组织和细胞)来降低炎症性疾病的风险。要想更全面地了解病理生理学,就必须监测组合代谢物的动态变化。本研究旨在开发一种测定人体尿液中肠道微生物群-宿主共代谢物和吲哚胺的方法。采用等度洗脱法对四种关键的肠道微生物-宿主组合代谢物进行色谱分离,运行时间为 10 分钟。该方法在不同浓度范围内均呈线性关系:褪黑素(MEL)、吲哚-3-丙酸(3-IPA)、吲哚(IND)和鳐鱼素(SKT)的线性范围为 1.0-400 ng/mL。该方法灵敏度极高且稳定,因此可成功用于表征跑步前后人体尿液中肠道微生物-宿主共代谢物的变化。跑步后尿液中 MEL、3-IPA、IND 和 SKT 的浓度分别为 84.0 ± 9.69、25.9 ± 3.39、343.7 ± 36.8 和 14.6 ± 1.36 ng/mL。此外,跑步前尿液中的浓度分别为(54.2 ± 5.10)、(14.4 ± 1.30)、(250.8 ± 14.1)和(9.43 ± 1.07)纳克/毫升,跑步前尿液与跑步后尿液的浓度差异明显较小(P < 0.05)。总之,所建立的方法可同时监测肠道微生物-宿主代谢产物,因此可进一步应用于临床和综合病理生理学研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Packed-Nanofiber Solid-Phase Extraction Coupled with High-Performance Liquid Chromatography Fluorescence for Determining Gut Microbiota–Host Cometabolites and Indoleamines in Human Urine
Exercise reduces the risk of inflammatory diseases by modulating different tissue and cell types, including those within the gastrointestinal tract. Obtaining a more comprehensive understanding of pathophysiology requires monitoring of dynamic changes in cometabolites. This study aimed to develop a method for determining gut microbiota–host cometabolites and indoleamines in human urine. Four key gut microbiota–host cometabolites were chromatographically separated by isocratic elution, with a running time of 10 min. The linearity of this method was confirmed over different concentration ranges: 1.0–400 ng/mL for melatonin (MEL), indole-3-propionic acid (3-IPA), indole (IND), and skatole (SKT). This method was extremely sensitive and stable and hence could be successfully applied to characterize the changes in gut microbiota–host cometabolites in human before- and after-running urine. The concentrations of MEL, 3-IPA, IND, and SKT in after-running urine were 84.0 ± 9.69, 25.9 ± 3.39, 343.7 ± 36.8, and 14.6 ± 1.36 ng/mL, respectively. Moreover, the concentrations in before-running urine were 54.2 ± 5.10, 14.4 ± 1.30, 250.8 ± 14.1, and 9.43 ± 1.07 ng/mL, respectively, which showed significantly less difference in concentrations (p < 0.05) in before- than after-running urine. Overall, the established method could simultaneously monitor gut microbiota–host cometabolites and hence can be further applied to clinical and comprehensive pathophysiological studies.
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