广谱抗生素治疗患者血清代谢组的变化

Q1 Medicine Pathogens and Immunity Pub Date : 2020-12-29 eCollection Date: 2020-01-01 DOI:10.20411/pai.v5i1.394
George E Jaskiw, Mark E Obrenovich, Sirisha Kundrapu, Curtis J Donskey
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引用次数: 3

摘要

背景:肠道微生物组(GMB)产生许多小的化学物质,可以被宿主吸收和各种生物转化,合并,或排泄。由此产生的代谢组可以提供有关GMB状态、宿主及其关系的信息。在生物标志物开发中利用这些信息取决于了解组成代谢组的单个化学物质的gmb敏感性。在这方面,人体研究远远落后于动物研究。因此,我们测试了这样一个假设,即在啮齿动物模型中明确证明对gmb敏感的化学物质的血清水平也会在接受广谱抗生素治疗的临床患者样本中受到影响。方法:对20例住院患者在使用广谱抗生素治疗前、治疗中及治疗后进行血清采集。我们还收集了5名入院但未开抗生素的对照患者的样本。我们将样品提交进行非靶向代谢组学分析,然后将重点放在已知受到小鼠和/或大鼠无菌状态和抗生素治疗影响的化学物质上。结果:对人血清中499种化学物质进行了初步鉴定。综合分析没有显示任何时间x治疗的相互作用。然而,我们的文献检索确定了10种血清化学物质在小鼠或大鼠中受到无菌状态和抗生素治疗的影响。在我们的患者样本中测量了其中六种化学物质,并且还符合纳入重点分析的标准。5种化学物质(对甲酚硫酸酯、硫酸酚、马来酸酯、吲哚丙酸酯和硫酸吲哚酚)的血清水平在我们的抗生素治疗组显著下降,但在我们的患者对照组没有变化。结论:广谱抗生素治疗降低了先前在啮齿动物模型中被证明对gmb敏感的选定化学物质的血清水平。有趣的是,所有这些化学物质都是已知的尿毒症溶质,可以由厌氧细菌,特别是梭状菌,从芳香氨基酸(l -苯丙氨酸,l -酪氨酸或l -色氨酸)中提取。我们得出结论,明智地选择血清化学物质可以可靠地检测抗生素诱导的人类GMB抑制,从而促进进一步基于代谢组的生物标志物的开发。
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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Changes in the Serum Metabolome of Patients Treated With Broad-Spectrum Antibiotics.

Background: The gut microbiome (GMB) generates numerous small chemicals that can be absorbed by the host and variously biotransformed, incorporated, or excreted. The resulting metabolome can provide information about the state of the GMB, of the host, and of their relationship. Exploiting this information in the service of biomarker development is contingent on knowing the GMB-sensitivity of the individual chemicals comprising the metabolome. In this regard, human studies have lagged far behind animal studies. Accordingly, we tested the hypothesis that serum levels of chemicals unequivocally demonstrated to be GMB-sensitive in rodent models would also be affected in a clinical patient sample treated with broad spectrum antibiotics.

Methods: We collected serum samples from 20 hospitalized patients before, during, and after treatment with broad-spectrum antibiotics. We also collected samples from 5 control patients admitted to the hospital but not prescribed antibiotics. We submitted the samples for a non-targeted metabolomic analysis and then focused on chemicals known to be affected both by germ-free status and by antibiotic treatment in the mouse and/or rat.

Results: Putative identification was obtained for 499 chemicals in human serum. An aggregate analysis did not show any time x treatment interactions. However, our literature search identified 10 serum chemicals affected both by germ-free status and antibiotic treatment in the mouse or rat. Six of those chemicals were measured in our patient samples and additionally met criteria for inclusion in a focused analysis. Serum levels of 5 chemicals (p-cresol sulfate, phenol sulfate, hippurate, indole propionate, and indoxyl sulfate) declined significantly in our group of antibiotic-treated patients but did not change in our patient control group.

Conclusions: Broad-spectrum antibiotic treatment in patients lowered serum levels of selected chemicals previously demonstrated to be GMB-sensitive in rodent models. Interestingly, all those chemicals are known to be uremic solutes that can be derived from aromatic amino acids (L-phenylalanine, L-tyrosine, or L-tryptophan) by anaerobic bacteria, particularly Clostridial species. We conclude that judiciously selected serum chemicals can reliably detect antibiotic-induced suppression of the GMB in man and thus facilitate further metabolome-based biomarker development.

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来源期刊
Pathogens and Immunity
Pathogens and Immunity Medicine-Infectious Diseases
CiteScore
10.60
自引率
0.00%
发文量
16
审稿时长
10 weeks
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