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非侵入性联合诊断与监测[具体疾病名称]和[具体疾病名称]感染:概念验证

Noninvasive Combined Diagnosis and Monitoring of and Infections: Proof of Concept.

作者信息

Dobiáš Radim, Škríba Anton, Pluháček Tomáš, Petřík Miloš, Palyzová Andrea, Káňová Marcela, Čubová Eva, Houšť Jiří, Novák Jiří, Stevens David A, Mitulovič Goran, Krejčí Eva, Hubáček Petr, Havlíček Vladimír

机构信息

Department of Bacteriology and Mycology, Public Health Institute in Ostrava, 702 00 Ostrava, Czech Republic.

Department of Biomedical Sciences, Faculty of Medicine, University of Ostrava, 703 00 Ostrava, Czech Republic.

出版信息

J Fungi (Basel). 2021 Sep 6;7(9):730. doi: 10.3390/jof7090730.

Abstract

In acutely ill patients, particularly in intensive care units or in mixed infections, time to a microbe-specific diagnosis is critical to a successful outcome of therapy. We report the application of evolving technologies involving mass spectrometry to diagnose and monitor a patient's course. As proof of this concept, we studied five patients and used two rat models of mono-infection and coinfection. We report the noninvasive combined monitoring of and infection. The invasive coinfection was detected by monitoring the fungal triacetylfusarinine C and ferricrocin siderophore levels and the bacterial metabolites pyoverdin E, pyochelin, and 2-heptyl-4-quinolone, studied in the urine, endotracheal aspirate, or breath condensate. The coinfection was monitored by mass spectrometry followed by isotopic data filtering. In the rat infection model, detection indicated 100-fold more siderophores in urine compared to sera, indicating the diagnostic potential of urine sampling. The tools utilized in our studies can now be examined in large clinical series, where we could expect the accuracy and speed of diagnosis to be competitive with conventional methods and provide advantages in unraveling the complexities of mixed infections.

摘要

在急性病患者中,尤其是在重症监护病房或混合感染患者中,做出微生物特异性诊断的时间对于治疗的成功结果至关重要。我们报告了应用包括质谱分析在内的不断发展的技术来诊断和监测患者病程的情况。作为这一概念的证据,我们研究了5名患者,并使用了两种单一感染和混合感染的大鼠模型。我们报告了对[具体感染类型1]和[具体感染类型2]感染的非侵入性联合监测情况。通过监测尿液、气管内吸出物或呼气冷凝物中的真菌三乙酰镰刀菌素C和铁载体铁色素水平以及细菌代谢产物绿脓菌素E、绿脓杆菌素和2-庚基-4-喹诺酮来检测侵入性混合感染。通过质谱分析并进行同位素数据过滤来监测混合感染。在大鼠感染模型中,检测表明尿液中的铁载体比血清中的多100倍,这表明尿液采样具有诊断潜力。我们研究中使用的工具现在可以在大型临床系列中进行检验,在这些研究中我们预计诊断的准确性和速度将与传统方法具有竞争力,并在揭示混合感染的复杂性方面具有优势。

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