Study of a classification algorithm for AIEC identification in geographically distinct E. coli strains

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dc.contributor.authorCamprubí-Font, Carla
dc.contributor.authorBustamante, Paula
dc.contributor.authorVidal, Roberto
dc.contributor.authorO'Brien, Claire
dc.contributor.authorBarnich, Nicolas
dc.contributor.authorMartinez-Medina, Margarita
dc.date.accessioned2023-11-27T21:43:53Z
dc.date.available2023-11-27T21:43:53Z
dc.date.issued2020
dc.date.updated2022-08-21T08:16:18Z
dc.description.abstractAdherent-invasive Escherichia coli (AIEC) have been extensively implicated in Crohn’s disease pathogenesis. Currently, AIEC is identified phenotypically, since no molecular marker specific for AIEC exists. An algorithm based on single nucleotide polymorphisms was previously presented as a potential molecular tool to classify AIEC/non-AIEC, with 84% accuracy on a collection of 50 strains isolated in Girona (Spain). Herein, our aim was to determine the accuracy of the tool using AIEC/non-AIEC isolates from different geographical origins and extraintestinal pathogenic E. coli (ExPEC) strains. The accuracy of the tool was significantly reduced (61%) when external AIEC/non-AIEC strains from France, Chile, Mallorca (Spain) and Australia (82 AIEC, 57 non-AIEC and 45 ExPEC strains in total) were included. However, the inclusion of only the ExPEC strains showed that the tool was fairly accurate at differentiating these two close pathotypes (84.6% sensitivity; 79% accuracy). Moreover, the accuracy was still high (81%) for those AIEC/non-AIEC strains isolated from Girona and Mallorca (N = 63); two collections obtained from independent studies but geographically close. Our findings indicate that the presented tool is not universal since it would be only applicable for strains from similar geographic origin and demonstrates the need to include strains from different origins to validate such tools.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn2045-2322en_AU
dc.identifier.urihttp://hdl.handle.net/1885/307455
dc.language.isoen_AUen_AU
dc.provenanceThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en_AU
dc.publisherNature Publishing Groupen_AU
dc.rights© 2020 The authorsen_AU
dc.rights.licenseCreative Commons Attribution licenceen_AU
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_AU
dc.sourceScientific Reportsen_AU
dc.titleStudy of a classification algorithm for AIEC identification in geographically distinct E. coli strainsen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue1en_AU
local.bibliographicCitation.lastpage7en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationCamprubí-Font, Carla, Universitat de Gironaen_AU
local.contributor.affiliationBustamante, Paula, Universidad de Chileen_AU
local.contributor.affiliationVidal, Roberto, Universidad de Chileen_AU
local.contributor.affiliationO'Brien, Claire, College of Health and Medicine, ANUen_AU
local.contributor.affiliationBarnich, Nicolas, University of Auvergneen_AU
local.contributor.affiliationMartinez-Medina, Margarita, Universitat de Gironaen_AU
local.contributor.authoremailu3244555@anu.edu.auen_AU
local.contributor.authoruidO'Brien, Claire, u3244555en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor320203 - Clinical microbiologyen_AU
local.identifier.absfor320209 - Gastroenterology and hepatologyen_AU
local.identifier.absfor310701 - Bacteriologyen_AU
local.identifier.ariespublicationa383154xPUB14898en_AU
local.identifier.citationvolume10en_AU
local.identifier.doi10.1038/s41598-020-64894-5en_AU
local.identifier.thomsonIDWOS:000562213200002
local.identifier.uidSubmittedBya383154en_AU
local.publisher.urlhttps://www.nature.com/en_AU
local.type.statusPublished Versionen_AU

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