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Core genome multilocus sequence typing of Clostridioides difficile to investigate transmission in the hospital setting
PURPOSE: Traditional epidemiological investigations of healthcare-associated Clostridioides difficile infection (HA-CDI) are often insufficient. This study aimed to evaluate a procedure that includes secondary isolation and genomic typing of single toxigenic colonies using core genome multilocus seq...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651541/ https://www.ncbi.nlm.nih.gov/pubmed/37870711 http://dx.doi.org/10.1007/s10096-023-04676-9 |
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author | Filippidis, Paraskevas Senn, Laurence Poncet, Fabrice Grandbastien, Bruno Prod’hom, Guy Greub, Gilbert Guery, Benoit Blanc, Dominique S. |
author_facet | Filippidis, Paraskevas Senn, Laurence Poncet, Fabrice Grandbastien, Bruno Prod’hom, Guy Greub, Gilbert Guery, Benoit Blanc, Dominique S. |
author_sort | Filippidis, Paraskevas |
collection | PubMed |
description | PURPOSE: Traditional epidemiological investigations of healthcare-associated Clostridioides difficile infection (HA-CDI) are often insufficient. This study aimed to evaluate a procedure that includes secondary isolation and genomic typing of single toxigenic colonies using core genome multilocus sequence typing (cgMLST) for the investigation of C. difficile transmission. METHODS: We analyzed retrospectively all toxigenic C. difficile-positive stool samples stored at the Lausanne University Hospital over 6 consecutive months. All isolates were initially typed and classified using a modified double-locus sequence typing (DLST) method. Genome comparison of isolates with the same DLST and clustering were subsequently performed using cgMLST. The electronic administrative records of patients with CDI were investigated for spatiotemporal epidemiological links supporting hospital transmission. A comparative descriptive analysis between genomic and epidemiological data was then performed. RESULTS: From January to June 2021, 86 C. difficile isolates were recovered from thawed samples of 71 patients. Thirteen different DLST types were shared by > 1 patient, and 13 were observed in single patients. A genomic cluster was defined as a set of isolates from different patients with ≤ 3 locus differences, determined by cgMLST. Seven genomic clusters were identified, among which plausible epidemiological links were identified in only 4/7 clusters. CONCLUSION: Among clusters determined by cgMLST analysis, roughly 40% included unexplained HA-CDI acquisitions, which may be explained by unidentified epidemiological links, asymptomatic colonization, and/or shared common community reservoirs. The use of DLST, followed by whole genome sequencing analysis, is a promising and cost-effective stepwise approach for the investigation of CDI transmission in the hospital setting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10096-023-04676-9. |
format | Online Article Text |
id | pubmed-10651541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-106515412023-10-23 Core genome multilocus sequence typing of Clostridioides difficile to investigate transmission in the hospital setting Filippidis, Paraskevas Senn, Laurence Poncet, Fabrice Grandbastien, Bruno Prod’hom, Guy Greub, Gilbert Guery, Benoit Blanc, Dominique S. Eur J Clin Microbiol Infect Dis Original Article PURPOSE: Traditional epidemiological investigations of healthcare-associated Clostridioides difficile infection (HA-CDI) are often insufficient. This study aimed to evaluate a procedure that includes secondary isolation and genomic typing of single toxigenic colonies using core genome multilocus sequence typing (cgMLST) for the investigation of C. difficile transmission. METHODS: We analyzed retrospectively all toxigenic C. difficile-positive stool samples stored at the Lausanne University Hospital over 6 consecutive months. All isolates were initially typed and classified using a modified double-locus sequence typing (DLST) method. Genome comparison of isolates with the same DLST and clustering were subsequently performed using cgMLST. The electronic administrative records of patients with CDI were investigated for spatiotemporal epidemiological links supporting hospital transmission. A comparative descriptive analysis between genomic and epidemiological data was then performed. RESULTS: From January to June 2021, 86 C. difficile isolates were recovered from thawed samples of 71 patients. Thirteen different DLST types were shared by > 1 patient, and 13 were observed in single patients. A genomic cluster was defined as a set of isolates from different patients with ≤ 3 locus differences, determined by cgMLST. Seven genomic clusters were identified, among which plausible epidemiological links were identified in only 4/7 clusters. CONCLUSION: Among clusters determined by cgMLST analysis, roughly 40% included unexplained HA-CDI acquisitions, which may be explained by unidentified epidemiological links, asymptomatic colonization, and/or shared common community reservoirs. The use of DLST, followed by whole genome sequencing analysis, is a promising and cost-effective stepwise approach for the investigation of CDI transmission in the hospital setting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10096-023-04676-9. Springer Berlin Heidelberg 2023-10-23 2023 /pmc/articles/PMC10651541/ /pubmed/37870711 http://dx.doi.org/10.1007/s10096-023-04676-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Filippidis, Paraskevas Senn, Laurence Poncet, Fabrice Grandbastien, Bruno Prod’hom, Guy Greub, Gilbert Guery, Benoit Blanc, Dominique S. Core genome multilocus sequence typing of Clostridioides difficile to investigate transmission in the hospital setting |
title | Core genome multilocus sequence typing of Clostridioides difficile to investigate transmission in the hospital setting |
title_full | Core genome multilocus sequence typing of Clostridioides difficile to investigate transmission in the hospital setting |
title_fullStr | Core genome multilocus sequence typing of Clostridioides difficile to investigate transmission in the hospital setting |
title_full_unstemmed | Core genome multilocus sequence typing of Clostridioides difficile to investigate transmission in the hospital setting |
title_short | Core genome multilocus sequence typing of Clostridioides difficile to investigate transmission in the hospital setting |
title_sort | core genome multilocus sequence typing of clostridioides difficile to investigate transmission in the hospital setting |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651541/ https://www.ncbi.nlm.nih.gov/pubmed/37870711 http://dx.doi.org/10.1007/s10096-023-04676-9 |
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