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Evaluation of molecular typing for national surveillance of invasive clinical Haemophilus influenzae isolates from Denmark

Haemophilus influenzae is a gram-negative coccobacillus known to cause respiratory and invasive infections. It can possess a polysaccharide capsule that can be categorized into six different serotypes (i.e., Hia, Hib, Hic, Hid, Hie, and Hif) and non-encapsulated strains that are defined as non-typea...

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Autores principales: Slotved, Hans-Christian, Johannesen, Thor Bech, Stegger, Marc, Fuursted, Kurt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712784/
https://www.ncbi.nlm.nih.gov/pubmed/36466693
http://dx.doi.org/10.3389/fmicb.2022.1030242
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author Slotved, Hans-Christian
Johannesen, Thor Bech
Stegger, Marc
Fuursted, Kurt
author_facet Slotved, Hans-Christian
Johannesen, Thor Bech
Stegger, Marc
Fuursted, Kurt
author_sort Slotved, Hans-Christian
collection PubMed
description Haemophilus influenzae is a gram-negative coccobacillus known to cause respiratory and invasive infections. It can possess a polysaccharide capsule that can be categorized into six different serotypes (i.e., Hia, Hib, Hic, Hid, Hie, and Hif) and non-encapsulated strains that are defined as non-typeable. Furthermore, H. influenzae can be characterized into eight biotypes (I–VIII). Traditionally, isolates have been serotyped and biotyped using phenotypic methods; however, these methods are not always reliable. In this study, we evaluate the use of whole-genome sequencing (WGS) for national surveillance and characterization of clinical Danish H. influenzae isolates. In Denmark, all clinical invasive isolates between 2014 and 2021 have been serotyped using a traditional phenotypic latex agglutination test as well as in silico serotyped using the in silico programs “hinfluenzae_capsule_characterization” and “hicap” to compare the subsequent serotypes. Moreover, isolates were also biotyped using a phenotypic enzyme test and the genomic data for the detection of the genes encoding ornithine, tryptophan, and urease. The results showed a 99–100% concordance between the two genotypic approaches and the phenotypic serotyping, respectively. The biotyping showed a 95% concordance between genotyping and phenotyping. In conclusion, our results show that in a clinical surveillance setting, in silico serotyping and WGS-based biotyping are a robust and reliable approach for typing clinical H. influenzae isolates.
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spelling pubmed-97127842022-12-02 Evaluation of molecular typing for national surveillance of invasive clinical Haemophilus influenzae isolates from Denmark Slotved, Hans-Christian Johannesen, Thor Bech Stegger, Marc Fuursted, Kurt Front Microbiol Microbiology Haemophilus influenzae is a gram-negative coccobacillus known to cause respiratory and invasive infections. It can possess a polysaccharide capsule that can be categorized into six different serotypes (i.e., Hia, Hib, Hic, Hid, Hie, and Hif) and non-encapsulated strains that are defined as non-typeable. Furthermore, H. influenzae can be characterized into eight biotypes (I–VIII). Traditionally, isolates have been serotyped and biotyped using phenotypic methods; however, these methods are not always reliable. In this study, we evaluate the use of whole-genome sequencing (WGS) for national surveillance and characterization of clinical Danish H. influenzae isolates. In Denmark, all clinical invasive isolates between 2014 and 2021 have been serotyped using a traditional phenotypic latex agglutination test as well as in silico serotyped using the in silico programs “hinfluenzae_capsule_characterization” and “hicap” to compare the subsequent serotypes. Moreover, isolates were also biotyped using a phenotypic enzyme test and the genomic data for the detection of the genes encoding ornithine, tryptophan, and urease. The results showed a 99–100% concordance between the two genotypic approaches and the phenotypic serotyping, respectively. The biotyping showed a 95% concordance between genotyping and phenotyping. In conclusion, our results show that in a clinical surveillance setting, in silico serotyping and WGS-based biotyping are a robust and reliable approach for typing clinical H. influenzae isolates. Frontiers Media S.A. 2022-11-17 /pmc/articles/PMC9712784/ /pubmed/36466693 http://dx.doi.org/10.3389/fmicb.2022.1030242 Text en Copyright © 2022 Slotved, Johannesen, Stegger and Fuursted. 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 Microbiology
Slotved, Hans-Christian
Johannesen, Thor Bech
Stegger, Marc
Fuursted, Kurt
Evaluation of molecular typing for national surveillance of invasive clinical Haemophilus influenzae isolates from Denmark
title Evaluation of molecular typing for national surveillance of invasive clinical Haemophilus influenzae isolates from Denmark
title_full Evaluation of molecular typing for national surveillance of invasive clinical Haemophilus influenzae isolates from Denmark
title_fullStr Evaluation of molecular typing for national surveillance of invasive clinical Haemophilus influenzae isolates from Denmark
title_full_unstemmed Evaluation of molecular typing for national surveillance of invasive clinical Haemophilus influenzae isolates from Denmark
title_short Evaluation of molecular typing for national surveillance of invasive clinical Haemophilus influenzae isolates from Denmark
title_sort evaluation of molecular typing for national surveillance of invasive clinical haemophilus influenzae isolates from denmark
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712784/
https://www.ncbi.nlm.nih.gov/pubmed/36466693
http://dx.doi.org/10.3389/fmicb.2022.1030242
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