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Cited by 257

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

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

Open access
Gladstone, Rebecca A., Lo, Stephanie W., Lees, John A., Croucher, Nicholas J., van Tonder, Andries J., Corander, Jukka, Page, Andrew J., Marttinen, Pekka, Bentley, Leon J., Ochoa, Theresa J., Ho, Pak Leung, du Plessis, Mignon, Cornick, Jennifer E., Kwambana-Adams, Brenda, Benisty, Rachel, Nzenze, Susan A., Madhi, Shabir A., Hawkins, Paulina A., Everett, Dean B., Antonio, Martin, Dagan, Ron, Klugman, Keith P., von Gottberg, Anne, McGee, Lesley, Breiman, Robert F., Bentley, Stephen D.·2019·EBioMedicine

Abstract

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 (R 2 = 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.

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Authors
Gladstone, R. A., Lo, S. W., Lees, J. A., Croucher, N. J., van Tonder, A. J., Corander, J., Page, A. J., Marttinen, P., Bentley, L. J., Ochoa, T. J., Ho, P. L., du Plessis, M., Cornick, J. E., Kwambana-Adams, B., Benisty, R., Nzenze, S. A., Madhi, S. A., Hawkins, P. A., Everett, D. B., Antonio, M., Dagan, R., Klugman, K. P., von Gottberg, A., McGee, L., Breiman, R. F., & Bentley, S. D.
Venue
EBioMedicine
Publisher
Elsevier BV
Published
2019-05
Volume
43
Pages
338-346
ISSN
2352-3964 (ISSN-L)
OpenAlex
W2937635380
Cited by
257
References
43
FWCI
18.22
Type
journal article
Language
en
Open access
gold

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Gladstone, R. A., Lo, S. W., Lees, J. A., Croucher, N. J., van Tonder, A. J., Corander, J., Page, A. J., Marttinen, P., Bentley, L. J., Ochoa, T. J., Ho, P. L., du Plessis, M., Cornick, J. E., Kwambana-Adams, B., Benisty, R., Nzenze, S. A., Madhi, S. A., Hawkins, P. A., Everett, D. B., . . . Bentley, S. D. (2019). International genomic definition of pneumococcal lineages, to contextualise disease, antibiotic resistance and vaccine impact. EBioMedicine. https://doi.org/10.1016/j.ebiom.2019.04.021

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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