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Predicting β-lactam susceptibility from the genome of Streptococcus pneumoniae and other mitis group streptococci

INTRODUCTION: For Streptococcus pneumoniae, β-lactam susceptibility can be predicted from the amino acid sequence of the penicillin-binding proteins PBP1a, PBP2b, and PBP2x. The combination of PBP-subtypes provides a PBP-profile, which correlates to a phenotypic minimal inhibitory concentration (MIC...

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Autores principales: Eriksen, Helle Brander, Fuursted, Kurt, Jensen, Anders, Jensen, Christian Salgård, Nielsen, Xiaohui, Christensen, Jens Jørgen, Shewmaker, Patricia, Rebelo, Ana Rita, Aarestrup, Frank Møller, Schønning, Kristian, Slotved, Hans-Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018206/
https://www.ncbi.nlm.nih.gov/pubmed/36937294
http://dx.doi.org/10.3389/fmicb.2023.1120023
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author Eriksen, Helle Brander
Fuursted, Kurt
Jensen, Anders
Jensen, Christian Salgård
Nielsen, Xiaohui
Christensen, Jens Jørgen
Shewmaker, Patricia
Rebelo, Ana Rita
Aarestrup, Frank Møller
Schønning, Kristian
Slotved, Hans-Christian
author_facet Eriksen, Helle Brander
Fuursted, Kurt
Jensen, Anders
Jensen, Christian Salgård
Nielsen, Xiaohui
Christensen, Jens Jørgen
Shewmaker, Patricia
Rebelo, Ana Rita
Aarestrup, Frank Møller
Schønning, Kristian
Slotved, Hans-Christian
author_sort Eriksen, Helle Brander
collection PubMed
description INTRODUCTION: For Streptococcus pneumoniae, β-lactam susceptibility can be predicted from the amino acid sequence of the penicillin-binding proteins PBP1a, PBP2b, and PBP2x. The combination of PBP-subtypes provides a PBP-profile, which correlates to a phenotypic minimal inhibitory concentration (MIC). The non-S. pneumoniae Mitis-group streptococci (MGS) have similar PBPs and exchange pbp-alleles with S. pneumoniae. We studied whether a simple BLAST analysis could be used to predict phenotypic susceptibility in Danish S. pneumoniae isolates and in internationally collected MGS. METHOD: Isolates with available WGS and phenotypic susceptibility data were included. For each isolate, the best matching PBP-profile was identified by BLAST analysis. The corresponding MICs for penicillin and ceftriaxone was retrieved. Category agreement (CA), minor-, major-, and very major discrepancy was calculated. Genotypic-phenotypic accuracy was examined with Deming regression. RESULTS: Among 88 S. pneumoniae isolates, 55 isolates had a recognized PBP-profile, and CA was 100% for penicillin and 98.2% for ceftriaxone. In 33 S. pneumoniae isolates with a new PBP-profile, CA was 90.9% (penicillin) and 93.8% (ceftriaxone) using the nearest recognized PBP-profile. Applying the S. pneumoniae database to non-S. pneumoniae MGS revealed that none had a recognized PBP-profile. For Streptococcus pseudopneumoniae, CA was 100% for penicillin and ceftriaxone in 19 susceptible isolates. In 33 Streptococcus mitis isolates, CA was 75.8% (penicillin) and 86.2% (ceftriaxone) and in 25 Streptococcus oralis isolates CA was 8% (penicillin) and 100% (ceftriaxone). CONCLUSION: Using a simple BLAST analysis, genotypic susceptibility prediction was accurate in Danish S. pneumoniae isolates, particularly in isolates with recognized PBP-profiles. Susceptibility was poorly predicted in other MGS using the current database.
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spelling pubmed-100182062023-03-17 Predicting β-lactam susceptibility from the genome of Streptococcus pneumoniae and other mitis group streptococci Eriksen, Helle Brander Fuursted, Kurt Jensen, Anders Jensen, Christian Salgård Nielsen, Xiaohui Christensen, Jens Jørgen Shewmaker, Patricia Rebelo, Ana Rita Aarestrup, Frank Møller Schønning, Kristian Slotved, Hans-Christian Front Microbiol Microbiology INTRODUCTION: For Streptococcus pneumoniae, β-lactam susceptibility can be predicted from the amino acid sequence of the penicillin-binding proteins PBP1a, PBP2b, and PBP2x. The combination of PBP-subtypes provides a PBP-profile, which correlates to a phenotypic minimal inhibitory concentration (MIC). The non-S. pneumoniae Mitis-group streptococci (MGS) have similar PBPs and exchange pbp-alleles with S. pneumoniae. We studied whether a simple BLAST analysis could be used to predict phenotypic susceptibility in Danish S. pneumoniae isolates and in internationally collected MGS. METHOD: Isolates with available WGS and phenotypic susceptibility data were included. For each isolate, the best matching PBP-profile was identified by BLAST analysis. The corresponding MICs for penicillin and ceftriaxone was retrieved. Category agreement (CA), minor-, major-, and very major discrepancy was calculated. Genotypic-phenotypic accuracy was examined with Deming regression. RESULTS: Among 88 S. pneumoniae isolates, 55 isolates had a recognized PBP-profile, and CA was 100% for penicillin and 98.2% for ceftriaxone. In 33 S. pneumoniae isolates with a new PBP-profile, CA was 90.9% (penicillin) and 93.8% (ceftriaxone) using the nearest recognized PBP-profile. Applying the S. pneumoniae database to non-S. pneumoniae MGS revealed that none had a recognized PBP-profile. For Streptococcus pseudopneumoniae, CA was 100% for penicillin and ceftriaxone in 19 susceptible isolates. In 33 Streptococcus mitis isolates, CA was 75.8% (penicillin) and 86.2% (ceftriaxone) and in 25 Streptococcus oralis isolates CA was 8% (penicillin) and 100% (ceftriaxone). CONCLUSION: Using a simple BLAST analysis, genotypic susceptibility prediction was accurate in Danish S. pneumoniae isolates, particularly in isolates with recognized PBP-profiles. Susceptibility was poorly predicted in other MGS using the current database. Frontiers Media S.A. 2023-03-02 /pmc/articles/PMC10018206/ /pubmed/36937294 http://dx.doi.org/10.3389/fmicb.2023.1120023 Text en Copyright © 2023 Eriksen, Fuursted, Jensen, Jensen, Nielsen, Christensen, Shewmaker, Rebelo, Aarestrup, Schønning, Slotved and the One Day in Denmark (ODiD) Consortium. 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
Eriksen, Helle Brander
Fuursted, Kurt
Jensen, Anders
Jensen, Christian Salgård
Nielsen, Xiaohui
Christensen, Jens Jørgen
Shewmaker, Patricia
Rebelo, Ana Rita
Aarestrup, Frank Møller
Schønning, Kristian
Slotved, Hans-Christian
Predicting β-lactam susceptibility from the genome of Streptococcus pneumoniae and other mitis group streptococci
title Predicting β-lactam susceptibility from the genome of Streptococcus pneumoniae and other mitis group streptococci
title_full Predicting β-lactam susceptibility from the genome of Streptococcus pneumoniae and other mitis group streptococci
title_fullStr Predicting β-lactam susceptibility from the genome of Streptococcus pneumoniae and other mitis group streptococci
title_full_unstemmed Predicting β-lactam susceptibility from the genome of Streptococcus pneumoniae and other mitis group streptococci
title_short Predicting β-lactam susceptibility from the genome of Streptococcus pneumoniae and other mitis group streptococci
title_sort predicting β-lactam susceptibility from the genome of streptococcus pneumoniae and other mitis group streptococci
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018206/
https://www.ncbi.nlm.nih.gov/pubmed/36937294
http://dx.doi.org/10.3389/fmicb.2023.1120023
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