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Discrimination of Escherichia coli and Shigella spp. by Nuclear Magnetic Resonance Based Metabolomic Characterization of Culture Media.

Abstract：

:Dysentery is a major health threat that dramatically impacts childhood morbidity and mortality in developing countries. Various pathogenic agents cause dysentery, such as Shigella spp. and Escherichia coli, which are very closely related if not identical species. Sensitive and precise detection and identification of the infectious agent is important to target the best therapeutic strategy, but the differential diagnosis of these two groups remains a challenge using conventional methods. Here, we present a nuclear magnetic resonance (NMR) based multivariate classification model employing bacterial metabolic footprints in postculture growth media with remarkable segregation capability, including the discrimination of lactose negative E. coli and Shigella spp. Our results confirm the potential of metabolomic markers in the field of bacterial identification for the distinction of even very closely related species.

journal_name

ACS Infect Dis

journal_title

ACS infectious diseases

authors

Rautureau GJP,Palama TL,Canard I,Mirande C,Chatellier S,van Belkum A,Elena-Herrmann B

doi

10.1021/acsinfecdis.9b00199

subject

Has Abstract

pub_date

2019-11-08 00:00:00

pages

1879-1886

issue

11

issn

2373-8227

journal_volume

5

pub_type

杂志文章

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