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Deformations in the cytoplasmic membrane of Escherichia coli direct the synthesis of peptidoglycan. The hernia model.大肠杆菌细胞质膜中的变形指导肽聚糖的合成。疝模型。
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通过高分辨率质子磁共振波谱快速鉴定常见人类病原体。

Rapid identification of common human pathogens by high-resolution proton magnetic resonance spectroscopy.

作者信息

Delpassand E S, Chari M V, Stager C E, Morrisett J D, Ford J J, Romazi M

机构信息

Department of Pathology, Baylor College of Medicine, Houston, Texas 77030, USA.

出版信息

J Clin Microbiol. 1995 May;33(5):1258-62. doi: 10.1128/jcm.33.5.1258-1262.1995.

DOI:10.1128/jcm.33.5.1258-1262.1995
PMID:7615737
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC228141/
Abstract

Routine procedures for recovery of bacteria from clinical specimens involve culturing the latter on various nonselective and selective agar media. The bacteria are then identified by means of biochemical and immunological test procedures. Reduction of the time required to identify the bacteria is highly desirable for rapid clinical diagnosis. Towards this end the potential of proton nuclear magnetic resonance (NMR) spectroscopy for providing a "fingerprint" within the proton spectrum of five bacterial genera, reflecting their characteristic cell wall constituents, has been investigated. Establishing a database of high-resolution proton NMR spectra of a large number of bacterial species is a prerequisite for attaining this objective. A database has been established for five common human pathogens: Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Staphylococcus aureus, and Enterococcus faecalis. On the basis of the presence of characteristic resonances in their spectra, a simple algorithm has been developed to differentiate and identify these microorganisms. The NMR spectra of E. coli and S. aureus showed no dependency on the type of growth medium, growth density, or incubation time.

摘要

从临床标本中分离细菌的常规程序包括在各种非选择性和选择性琼脂培养基上培养标本。然后通过生化和免疫测试程序鉴定细菌。缩短鉴定细菌所需的时间对于快速临床诊断非常重要。为此,人们研究了质子核磁共振(NMR)光谱在五个细菌属的质子光谱中提供“指纹”的潜力,该光谱反映了它们独特的细胞壁成分。建立大量细菌物种的高分辨率质子NMR光谱数据库是实现这一目标的先决条件。现已为五种常见的人类病原体建立了数据库:大肠杆菌、肺炎克雷伯菌、铜绿假单胞菌、金黄色葡萄球菌和粪肠球菌。根据它们光谱中特征共振的存在,开发了一种简单的算法来区分和识别这些微生物。大肠杆菌和金黄色葡萄球菌的NMR光谱显示不依赖于生长培养基的类型、生长密度或培养时间。