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Clinical and Epidemiological Evidence of the Red Queen Hypothesis in Pneumococcal Serotype Dynamics

Overview of attention for article published in Clinical Infectious Diseases, June 2016
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Article details
Title
Clinical and Epidemiological Evidence of the Red Queen Hypothesis in Pneumococcal Serotype Dynamics
Published in
Clinical Infectious Diseases, June 2016
DOI 10.1093/cid/ciw357
Pubmed ID
Authors
Abstract

 The Red Queen hypothesis is an evolutionary theory that describes the reciprocal co-evolution of competing species. We sought to study whether introduction of the 7- and 13-valent pneumococcal conjugate vaccines (PCV7 and PCV13, respectively) altered pneumococcal serotype dynamics among children with invasive pneumococcal disease (IPD) as predicted by the Red Queen hypothesis.  This study examined pneumococcal isolates (n=641) obtained from children <18 years of age hospitalized with IPD from 1997-2014 in Utah. A review of the literature also identified several additional studies conducted in the United States and Europe that were used to test the external generalizability of our Utah findings. Simpson's Index was used to quantify pneumococcal serotype diversity.  In Utah, the introduction of PCV7 and PCV13 was associated with rapid increases in serotype diversity (P<0.001). Serotypes rarely present before vaccine introduction emerged as common causes of IPD. Diversity then decreased (P<0.001) as competition selected for the fittest serotypes and new evolutionary equilibriums were established. This pattern was also observed more broadly in the United States, the United Kingdom, Norway, and Spain.  This vaccine-driven example of human/bacterial co-evolution appears to confirm the Red Queen hypothesis, which reveals a limitation of serotype-specific vaccines and offers insights that may facilitate alternative strategies for the elimination of IPD.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 10 20%
Researcher 10 20%
Student > Ph. D. Student 9 18%
Professor 5 10%
Student > Postgraduate 4 8%
Other 7 14%
Unknown 6 12%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 13 25%
Biochemistry, Genetics and Molecular Biology 6 12%
Immunology and Microbiology 6 12%
Agricultural and Biological Sciences 4 8%
Nursing and Health Professions 3 6%
Other 5 10%
Unknown 14 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 June 2016.
All research outputs
#21,857,734
of 26,874,583 outputs
Outputs from Clinical Infectious Diseases
#15,239
of 17,060 outputs
Outputs of similar age
#242,646
of 323,067 outputs
Outputs of similar age from Clinical Infectious Diseases
#147
of 156 outputs
Altmetric has tracked 26,874,583 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
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