Passage Adaptation Correlates With the Reduced Efficacy of the Influenza Vaccine
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Passage Adaptation Correlates With the Reduced Efficacy of the Influenza Vaccine. / Chen, Hui; Alvarez, Jacob Josiah Santiago; Ng, Sock Hoon; Nielsen, Rasmus; Zhai, Weiwei.
In: Clinical Infectious Diseases, Vol. 69, No. 7, 2019, p. 1198-1204.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Passage Adaptation Correlates With the Reduced Efficacy of the Influenza Vaccine
AU - Chen, Hui
AU - Alvarez, Jacob Josiah Santiago
AU - Ng, Sock Hoon
AU - Nielsen, Rasmus
AU - Zhai, Weiwei
N1 - Publisher Copyright: © 2018 The Author(s).
PY - 2019
Y1 - 2019
N2 - Background: As a dominant seasonal influenza virus, H3N2 virus rapidly evolves in humans and is a constant threat to public health. Despite sustained research efforts, the efficacy of H3N2 vaccine has decreased rapidly. Even though antigenic drift and passage adaptation (substitutions accumulated during vaccine production in embryonated eggs) have been implicated in reduced vaccine efficacy (VE), their respective contributions to the phenomenon remain controversial. Methods: We utilized mutational mapping, a powerful probabilistic method for studying sequence evolution, to analyze patterns of substitutions in different passage conditions for an unprecedented amount of H3N2 hemagglutinin sequences (n = 32 278). Results: We found that passage adaptation in embryonated eggs is driven by repeated convergent evolution over 12 codons. Based on substitution patterns at these sites, we developed a metric, adaptive distance (AD), to quantify the strength of passage adaptation and subsequently identified a strong negative correlation between AD and VE. Conclusions: The high correlation between AD and VE implies that passage adaptation in embryonated eggs may be a strong contributor to the recent reduction in H3N2 VE. We developed a computational package called MADE (Measuring Adaptive Distance and vaccine Efficacy based on allelic barcodes) to measure the strength of passage adaptation and predict the efficacy of a candidate vaccine strain. Our findings shed light on strategies for reducing Darwinian evolution within the passaging medium in order to potentially restore an effective vaccine program in the future.
AB - Background: As a dominant seasonal influenza virus, H3N2 virus rapidly evolves in humans and is a constant threat to public health. Despite sustained research efforts, the efficacy of H3N2 vaccine has decreased rapidly. Even though antigenic drift and passage adaptation (substitutions accumulated during vaccine production in embryonated eggs) have been implicated in reduced vaccine efficacy (VE), their respective contributions to the phenomenon remain controversial. Methods: We utilized mutational mapping, a powerful probabilistic method for studying sequence evolution, to analyze patterns of substitutions in different passage conditions for an unprecedented amount of H3N2 hemagglutinin sequences (n = 32 278). Results: We found that passage adaptation in embryonated eggs is driven by repeated convergent evolution over 12 codons. Based on substitution patterns at these sites, we developed a metric, adaptive distance (AD), to quantify the strength of passage adaptation and subsequently identified a strong negative correlation between AD and VE. Conclusions: The high correlation between AD and VE implies that passage adaptation in embryonated eggs may be a strong contributor to the recent reduction in H3N2 VE. We developed a computational package called MADE (Measuring Adaptive Distance and vaccine Efficacy based on allelic barcodes) to measure the strength of passage adaptation and predict the efficacy of a candidate vaccine strain. Our findings shed light on strategies for reducing Darwinian evolution within the passaging medium in order to potentially restore an effective vaccine program in the future.
KW - H3N2 influenza virus
KW - mutational mapping
KW - passage adaptation
KW - vaccine efficacy
U2 - 10.1093/cid/ciy1065
DO - 10.1093/cid/ciy1065
M3 - Journal article
C2 - 30561532
AN - SCOPUS:85072145959
VL - 69
SP - 1198
EP - 1204
JO - Clinical Infectious Diseases
JF - Clinical Infectious Diseases
SN - 1058-4838
IS - 7
ER -
ID: 336604825