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Exploring clonality and virulence gene associations in bloodstream infections using whole-genome sequencing and clinical data
BACKGROUND: Bloodstream infections (BSIs) remain a significant cause of mortality worldwide. Causative pathogens are routinely identified and susceptibility tested but only very rarely investigated for their resistance genes, virulence factors, and clonality. Our aim was to gain insight into the clo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682671/ https://www.ncbi.nlm.nih.gov/pubmed/38035332 http://dx.doi.org/10.3389/fcimb.2023.1274573 |
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author | Neidhöfer, Claudio Neuenhoff, Marcel Jozič, Robert Atangcho, Brenda Unsleber, Sandra Neder, Ulrike Grumaz, Silke Parčina, Marijo |
author_facet | Neidhöfer, Claudio Neuenhoff, Marcel Jozič, Robert Atangcho, Brenda Unsleber, Sandra Neder, Ulrike Grumaz, Silke Parčina, Marijo |
author_sort | Neidhöfer, Claudio |
collection | PubMed |
description | BACKGROUND: Bloodstream infections (BSIs) remain a significant cause of mortality worldwide. Causative pathogens are routinely identified and susceptibility tested but only very rarely investigated for their resistance genes, virulence factors, and clonality. Our aim was to gain insight into the clonality patterns of different species causing BSI and the clinical relevance of distinct virulence genes. METHODS: For this study, we whole-genome-sequenced over 400 randomly selected important pathogens isolated from blood cultures in our diagnostic department between 2016 and 2021. Genomic data on virulence factors, resistance genes, and clonality were cross-linked with in-vitro data and demographic and clinical information. RESULTS: The investigation yielded extensive and informative data on the distribution of genes implicated in BSI as well as on the clonality of isolates across various species. CONCLUSION: Associations between survival outcomes and the presence of specific genes must be interpreted with caution, and conducting replication studies with larger sample sizes for each species appears mandatory. Likewise, a deeper knowledge of virulence and host factors will aid in the interpretation of results and might lead to more targeted therapeutic and preventive measures. Monitoring transmission dynamics more efficiently holds promise to serve as a valuable tool in preventing in particular BSI caused by nosocomial pathogens. |
format | Online Article Text |
id | pubmed-10682671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106826712023-11-30 Exploring clonality and virulence gene associations in bloodstream infections using whole-genome sequencing and clinical data Neidhöfer, Claudio Neuenhoff, Marcel Jozič, Robert Atangcho, Brenda Unsleber, Sandra Neder, Ulrike Grumaz, Silke Parčina, Marijo Front Cell Infect Microbiol Cellular and Infection Microbiology BACKGROUND: Bloodstream infections (BSIs) remain a significant cause of mortality worldwide. Causative pathogens are routinely identified and susceptibility tested but only very rarely investigated for their resistance genes, virulence factors, and clonality. Our aim was to gain insight into the clonality patterns of different species causing BSI and the clinical relevance of distinct virulence genes. METHODS: For this study, we whole-genome-sequenced over 400 randomly selected important pathogens isolated from blood cultures in our diagnostic department between 2016 and 2021. Genomic data on virulence factors, resistance genes, and clonality were cross-linked with in-vitro data and demographic and clinical information. RESULTS: The investigation yielded extensive and informative data on the distribution of genes implicated in BSI as well as on the clonality of isolates across various species. CONCLUSION: Associations between survival outcomes and the presence of specific genes must be interpreted with caution, and conducting replication studies with larger sample sizes for each species appears mandatory. Likewise, a deeper knowledge of virulence and host factors will aid in the interpretation of results and might lead to more targeted therapeutic and preventive measures. Monitoring transmission dynamics more efficiently holds promise to serve as a valuable tool in preventing in particular BSI caused by nosocomial pathogens. Frontiers Media S.A. 2023-11-14 /pmc/articles/PMC10682671/ /pubmed/38035332 http://dx.doi.org/10.3389/fcimb.2023.1274573 Text en Copyright © 2023 Neidhöfer, Neuenhoff, Jozič, Atangcho, Unsleber, Neder, Grumaz and Parčina https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cellular and Infection Microbiology Neidhöfer, Claudio Neuenhoff, Marcel Jozič, Robert Atangcho, Brenda Unsleber, Sandra Neder, Ulrike Grumaz, Silke Parčina, Marijo Exploring clonality and virulence gene associations in bloodstream infections using whole-genome sequencing and clinical data |
title | Exploring clonality and virulence gene associations in bloodstream infections using whole-genome sequencing and clinical data |
title_full | Exploring clonality and virulence gene associations in bloodstream infections using whole-genome sequencing and clinical data |
title_fullStr | Exploring clonality and virulence gene associations in bloodstream infections using whole-genome sequencing and clinical data |
title_full_unstemmed | Exploring clonality and virulence gene associations in bloodstream infections using whole-genome sequencing and clinical data |
title_short | Exploring clonality and virulence gene associations in bloodstream infections using whole-genome sequencing and clinical data |
title_sort | exploring clonality and virulence gene associations in bloodstream infections using whole-genome sequencing and clinical data |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682671/ https://www.ncbi.nlm.nih.gov/pubmed/38035332 http://dx.doi.org/10.3389/fcimb.2023.1274573 |
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