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Identification of hypervirulent Klebsiella pneumoniae based on biomarkers and Galleria mellonella infection model
BACKGROUND: Currently, clinical laboratories lack an effective method to differentiate between classical Klebsiella pneumoniae (cKP) and hypervirulent Klebsiella pneumoniae (hvKP) strains, leading to delays in diagnosing and treating hvKP infections. Previous studies have identified peg-344, iroB, i...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685466/ https://www.ncbi.nlm.nih.gov/pubmed/38030994 http://dx.doi.org/10.1186/s12866-023-03124-0 |
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author | Mai, Dongmei Wu, Anqi Li, Ran Cai, Donghao Tong, Huichun Wang, Nan Tan, Junqing |
author_facet | Mai, Dongmei Wu, Anqi Li, Ran Cai, Donghao Tong, Huichun Wang, Nan Tan, Junqing |
author_sort | Mai, Dongmei |
collection | PubMed |
description | BACKGROUND: Currently, clinical laboratories lack an effective method to differentiate between classical Klebsiella pneumoniae (cKP) and hypervirulent Klebsiella pneumoniae (hvKP) strains, leading to delays in diagnosing and treating hvKP infections. Previous studies have identified peg-344, iroB, iucA, (p)rmpA, (p)rmpA2, and siderophores (SP) yields greater than 30 μg/ml as reliable markers for distinguishing hvKP from cKp strains. However, these diagnostic tests were conducted on a relatively small study population and lacked sufficient clinical data support. In this study, hvKP strains were identified by biomarker analysis and the Galleria mellonella model. Combined with in vitro and in vivo experiments, the reliability of clinical identification method of hvKP was verified, which provided an experimental basis for timely diagnosis of hvKP infection. RESULTS: According to the clinical data, a total of 108 strains of hvKP were preliminary screened. Among them, 94 strains were further identified using PCR analysis of biomarkers and quantitative determination of SP. The high virulence of hvKP was subsequently confirmed through infection experiments on Galleria mellonella. Additionally, susceptibility testing revealed the identification of 58 carbapenem-resistant hvKP (CR-hvKP) strains and 36 carbapenem-sensitive hvKP (CS-hvKP) strains. By comparing molecular diagnostic indexes, molecular characteristics such as high SP production of CR-hvKP were found. CONCLUSION: The combination of clinical data and molecular diagnostic index analysis effectively enables the identification of hvKP, particularly CR-hvKP. This study provides a scientific basis for accurate clinical identification and timely treatment of hvKP. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-023-03124-0. |
format | Online Article Text |
id | pubmed-10685466 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106854662023-11-30 Identification of hypervirulent Klebsiella pneumoniae based on biomarkers and Galleria mellonella infection model Mai, Dongmei Wu, Anqi Li, Ran Cai, Donghao Tong, Huichun Wang, Nan Tan, Junqing BMC Microbiol Research BACKGROUND: Currently, clinical laboratories lack an effective method to differentiate between classical Klebsiella pneumoniae (cKP) and hypervirulent Klebsiella pneumoniae (hvKP) strains, leading to delays in diagnosing and treating hvKP infections. Previous studies have identified peg-344, iroB, iucA, (p)rmpA, (p)rmpA2, and siderophores (SP) yields greater than 30 μg/ml as reliable markers for distinguishing hvKP from cKp strains. However, these diagnostic tests were conducted on a relatively small study population and lacked sufficient clinical data support. In this study, hvKP strains were identified by biomarker analysis and the Galleria mellonella model. Combined with in vitro and in vivo experiments, the reliability of clinical identification method of hvKP was verified, which provided an experimental basis for timely diagnosis of hvKP infection. RESULTS: According to the clinical data, a total of 108 strains of hvKP were preliminary screened. Among them, 94 strains were further identified using PCR analysis of biomarkers and quantitative determination of SP. The high virulence of hvKP was subsequently confirmed through infection experiments on Galleria mellonella. Additionally, susceptibility testing revealed the identification of 58 carbapenem-resistant hvKP (CR-hvKP) strains and 36 carbapenem-sensitive hvKP (CS-hvKP) strains. By comparing molecular diagnostic indexes, molecular characteristics such as high SP production of CR-hvKP were found. CONCLUSION: The combination of clinical data and molecular diagnostic index analysis effectively enables the identification of hvKP, particularly CR-hvKP. This study provides a scientific basis for accurate clinical identification and timely treatment of hvKP. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-023-03124-0. BioMed Central 2023-11-29 /pmc/articles/PMC10685466/ /pubmed/38030994 http://dx.doi.org/10.1186/s12866-023-03124-0 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Mai, Dongmei Wu, Anqi Li, Ran Cai, Donghao Tong, Huichun Wang, Nan Tan, Junqing Identification of hypervirulent Klebsiella pneumoniae based on biomarkers and Galleria mellonella infection model |
title | Identification of hypervirulent Klebsiella pneumoniae based on biomarkers and Galleria mellonella infection model |
title_full | Identification of hypervirulent Klebsiella pneumoniae based on biomarkers and Galleria mellonella infection model |
title_fullStr | Identification of hypervirulent Klebsiella pneumoniae based on biomarkers and Galleria mellonella infection model |
title_full_unstemmed | Identification of hypervirulent Klebsiella pneumoniae based on biomarkers and Galleria mellonella infection model |
title_short | Identification of hypervirulent Klebsiella pneumoniae based on biomarkers and Galleria mellonella infection model |
title_sort | identification of hypervirulent klebsiella pneumoniae based on biomarkers and galleria mellonella infection model |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685466/ https://www.ncbi.nlm.nih.gov/pubmed/38030994 http://dx.doi.org/10.1186/s12866-023-03124-0 |
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