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International genomic definition of pneumococcal lineages, to contextualise disease, antibiotic resistance and vaccine impact

  • Rebecca A. Gladstone
  • , Stephanie W. Lo
  • , John A. Lees
  • , Nicholas J. Croucher
  • , Andries J. van Tonder
  • , Jukka Corander
  • , Andrew J. Page
  • , Pekka Marttinen
  • , Leon J. Bentley
  • , Theresa J. Ochoa
  • , Pak Leung Ho
  • , Mignon du Plessis
  • , Jennifer E. Cornick
  • , Brenda Kwambana-Adams
  • , Rachel Benisty
  • , Susan A. Nzenze
  • , Shabir A. Madhi
  • , Paulina A. Hawkins
  • , Dean B. Everett
  • , Martin Antonio
  • Ron Dagan, Keith P. Klugman, Anne von Gottberg, Lesley McGee, Robert F. Breiman, Stephen D. Bentley
  • Wellcome Sanger Institute
  • New York University Grossman School of Medicine
  • Imperial College London
  • University of Oslo
  • Helsinki Institute for Information Technology
  • University of Hong Kong
  • National Institute for Communicable Diseases
  • Malawi-Liverpool-Wellcome Trust Clinical Research Programme
  • University College London
  • London School of Hygiene and Tropical Medicine
  • Ben Gurion University of the Negev
  • University of the Witwatersrand, Johannesburg
  • Rollins School of Public Health
  • University of Edinburgh
  • University of Warwick
  • Centers for Disease Control and Prevention
  • Emory Global Health Institute

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

199 Citas (Scopus)

Resumen

Background: Pneumococcal conjugate vaccines have reduced the incidence of invasive pneumococcal disease, caused by vaccine serotypes, but non-vaccine-serotypes remain a concern. We used whole genome sequencing to study pneumococcal serotype, antibiotic resistance and invasiveness, in the context of genetic background. Methods: Our dataset of 13,454 genomes, combined with four published genomic datasets, represented Africa (40%), Asia (25%), Europe (19%), North America (12%), and South America (5%). These 20,027 pneumococcal genomes were clustered into lineages using PopPUNK, and named Global Pneumococcal Sequence Clusters (GPSCs). From our dataset, we additionally derived serotype and sequence type, and predicted antibiotic sensitivity. We then measured invasiveness using odds ratios that relating prevalence in invasive pneumococcal disease to carriage. Findings: The combined collections (n = 20,027) were clustered into 621 GPSCs. Thirty-five GPSCs observed in our dataset were represented by >100 isolates, and subsequently classed as dominant-GPSCs. In 22/35 (63%) of dominant-GPSCs both non-vaccine serotypes and vaccine serotypes were observed in the years up until, and including, the first year of pneumococcal conjugate vaccine introduction. Penicillin and multidrug resistance were higher (p < .05) in a subset dominant-GPSCs (14/35, 9/35 respectively), and resistance to an increasing number of antibiotic classes was associated with increased recombination (R2 = 0.27 p < .0001). In 28/35 dominant-GPSCs, the country of isolation was a significant predictor (p < .05) of its antibiogram (mean misclassification error 0.28, SD ± 0.13). We detected increased invasiveness of six genetic backgrounds, when compared to other genetic backgrounds expressing the same serotype. Up to 1.6-fold changes in invasiveness odds ratio were observed. Interpretation: We define GPSCs that can be assigned to any pneumococcal genomic dataset, to aid international comparisons. Existing non-vaccine-serotypes in most GPSCs preclude the removal of these lineages by pneumococcal conjugate vaccines; leaving potential for serotype replacement. A subset of GPSCs have increased resistance, and/or serotype-independent invasiveness.

Idioma originalInglés
Páginas (desde-hasta)338-346
Número de páginas9
PublicaciónEBioMedicine
Volumen43
DOI
EstadoPublicada - may. 2019

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