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Predicting ß-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.
Afiliación
  • Eriksen HB; Department of Clinical Microbiology, Herlev and Gentofte Hospital, Herlev, Denmark.
  • Fuursted K; Department of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark.
  • Jensen A; Department of Clinical Microbiology, Sygehus Lillebælt, Vejle, Denmark.
  • Jensen CS; Department of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark.
  • Nielsen X; The Regional Department of Clinical Microbiology, Slagelse, Denmark.
  • Christensen JJ; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
  • Shewmaker P; The Regional Department of Clinical Microbiology, Slagelse, Denmark.
  • Rebelo AR; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
  • Aarestrup FM; Centers for Disease Control and Prevention, Atlanta, GA, United States.
  • Schønning K; Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.
  • Slotved HC; Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.
Front Microbiol ; 14: 1120023, 2023.
Article en En | MEDLINE | ID: mdl-36937294
ABSTRACT

Introduction:

For Streptococcus pneumoniae, ß-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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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Microbiol Año: 2023 Tipo del documento: Article País de afiliación: Dinamarca

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Microbiol Año: 2023 Tipo del documento: Article País de afiliación: Dinamarca