2019
DOI: 10.3389/fmicb.2019.00252
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Substantial Extracellular Metabolic Differences Found Between Phylogenetically Closely Related Probiotic and Pathogenic Strains of Escherichia coli

Abstract: Since its first isolation a century ago, the gut inhabitant Escherichia coli strain Nissle 1917 has been shown to have probiotic activities; however, it is yet not fully elucidated which differential factors play key roles in its beneficial interactions with the host. To date, no metabolomics studies have been reported investigating the potential role of small molecules in functional strain differentiation of Nissle from its genetically close neighbors. Here, we present results of liquid… Show more

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Cited by 20 publications
(19 citation statements)
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“…Here, a monophasic solvent system consisting of 1:3:1 (v/v/v) water:methanol:chloroform was used (above), which was a modification of the classic monophasic solvent system 0.8:2:1 (v/v/v) water:methanol:chloroform (Bligh & Dyer, 1959 ) because a separation of polar and non-polar solvent phases was occasionally observed for this classic method (likely due to intracellular water, salts or residual wash solvent). The ratio of 1:3:1 (v/v/v) water:methanol:chloroform has been reported previously in metabolomics studies (Baptista et al, 2018 ; van der Hooft et al, 2019 ) and, as shown above, was effective at extracting polar metabolites for positive and negative ionisation modes by nESI-DIMS. However, attempts to analyse lipids in these extracts resulted in unacceptable electrospray instability (data not shown) that was likely due to the presence of more polar metabolites, prompting the evaluation of separate monophasic extractions of polar metabolites and lipids in a manner that would allow for automation.…”
Section: Resultsmentioning
confidence: 54%
See 1 more Smart Citation
“…Here, a monophasic solvent system consisting of 1:3:1 (v/v/v) water:methanol:chloroform was used (above), which was a modification of the classic monophasic solvent system 0.8:2:1 (v/v/v) water:methanol:chloroform (Bligh & Dyer, 1959 ) because a separation of polar and non-polar solvent phases was occasionally observed for this classic method (likely due to intracellular water, salts or residual wash solvent). The ratio of 1:3:1 (v/v/v) water:methanol:chloroform has been reported previously in metabolomics studies (Baptista et al, 2018 ; van der Hooft et al, 2019 ) and, as shown above, was effective at extracting polar metabolites for positive and negative ionisation modes by nESI-DIMS. However, attempts to analyse lipids in these extracts resulted in unacceptable electrospray instability (data not shown) that was likely due to the presence of more polar metabolites, prompting the evaluation of separate monophasic extractions of polar metabolites and lipids in a manner that would allow for automation.…”
Section: Resultsmentioning
confidence: 54%
“…In principle, omics technologies align well with the described shift in toxicity testing due to their ability to generate molecular mechanistic information to support decision making in regulatory applications, including chemical grouping and mode of action (MoA) prediction (Sperber et al, 2019;van Ravenzwaay et al, 2016;Viant et al, 2019). The value of metabolomics to risk assessment, defined as the profiling of metabolites (low-molecular-weight biochemicals) in cells, tissues or biofluids, has been acknowledged by several regulatory bodies (European Chemicals Agency, 2016;European Food Safety Authority et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Probiotic E. coli strains have also been shown to enhance the synthesis of antimicrobial ÎČ-defensin-2, engage in host signaling for immune-modulation, induce anti-inflammatory effects, and inhibit colonization of pathogens . Specifically, the gut resident and probiotic E. coli Nissle 1917 has been shown to reduce S. typhimurium colonization by causing iron deprivation via competition for heme …”
Section: Microbiome-derived Comentioning
confidence: 99%
“…However, so far there are hardly any metabolomic studies available on the differences of the small extracellular metabolites of these E. coli strains. A recently published study compared the metabolome of EcN and some other E. coli strains from the phylogroup B2, which are closely related to EcN and included CFT073 and 83972, and found differences in the metabolite profile of arginine biosynthesis-related metabolites [45].…”
Section: Yersiniabactin Ulbactin B Escherichelinmentioning
confidence: 99%