Reconstructed influenza A/H3N2 infection histories reveal variation in incidence and antibody dynamics over the life course

Humans experience many influenza infections over their lives, resulting in complex and varied immunological histories. Although experimental and quantitative analyses have improved our understanding of the immunological processes defining an individual's antibody repertoire, how these within-host processes are linked to population-level influenza epidemiology in humans remains unclear. Here, we used a multilevel mathematical model to jointly infer antibody dynamics and individual-level lifetime influenza A/H3N2 infection histories for 1,130 individuals in Guangzhou, China, using 67,683 haemagglutination inhibition (HI) assay measurements against 20 A/H3N2 strains from repeat serum samples collected between 2009 and 2015. These estimated infection histories allowed us to reconstruct historical seasonal influenza patterns in humans and to investigate how influenza incidence varies over time, space, and age in this population. We estimated median annual influenza infection rates to be approximately 19% from 1968 to 2015, but with substantial variation between years; 88% of individuals were estimated to have been infected at least once during the study period (2009 to 2015), and 20% were estimated to have 3 or more infections in that time. We inferred decreasing infection rates with increasing age, and found that annual attack rates were highly correlated across all locations, regardless of their distance, suggesting that age has a stronger impact than fine-scale spatial effects in determining an individual's antibody profile. Finally, we reconstructed each individual's expected antibody profile over their lifetime and inferred an age-stratified relationship between probability of infection and HI titre. Our analyses show how multi-strain serological panels provide rich information on long-term epidemiological trends, within-host processes, and immunity when analysed using appropriate inference methods, and adds to our understanding of the life course epidemiology of influenza A/H3N2.

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Publication Details

Journal
PLoS Biology
Published
2024-11-07
DOI
https://doi.org/10.1371/journal.pbio.3002864
Citations
6
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
2.32

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article

Reconstructed influenza A/H3N2 infection histories reveal variation in incidence and antibody dynamics over the life course

Ruiyin Shen, Kin On Kwok, Derek A. T. Cummings, Justin Lessler et al.
6 citations
PLoS Biology
Influenza Virus Research Studies
2.32
article

Reconstructed influenza A/H3N2 infection histories reveal variation in incidence and antibody dynamics over the life course

Ruiyin Shen, Kin On Kwok, Derek A. T. Cummings, Justin Lessler, Jonathan Michael Read, Chao Qiang Jiang, James A. Hay, Bingyi Yang, Steven Riley, Huachen Zhu, Adam Kucharski
article en
6 citations

Abstract

Humans experience many influenza infections over their lives, resulting in complex and varied immunological histories. Although experimental and quantitative analyses have improved our understanding of the immunological processes defining an individual's antibody repertoire, how these within-host processes are linked to population-level influenza epidemiology in humans remains unclear. Here, we used a multilevel mathematical model to jointly infer antibody dynamics and individual-level lifetime influenza A/H3N2 infection histories for 1,130 individuals in Guangzhou, China, using 67,683 haemagglutination inhibition (HI) assay measurements against 20 A/H3N2 strains from repeat serum samples collected between 2009 and 2015. These estimated infection histories allowed us to reconstruct historical seasonal influenza patterns in humans and to investigate how influenza incidence varies over time, space, and age in this population. We estimated median annual influenza infection rates to be approximately 19% from 1968 to 2015, but with substantial variation between years; 88% of individuals were estimated to have been infected at least once during the study period (2009 to 2015), and 20% were estimated to have 3 or more infections in that time. We inferred decreasing infection rates with increasing age, and found that annual attack rates were highly correlated across all locations, regardless of their distance, suggesting that age has a stronger impact than fine-scale spatial effects in determining an individual's antibody profile. Finally, we reconstructed each individual's expected antibody profile over their lifetime and inferred an age-stratified relationship between probability of infection and HI titre. Our analyses show how multi-strain serological panels provide rich information on long-term epidemiological trends, within-host processes, and immunity when analysed using appropriate inference methods, and adds to our understanding of the life course epidemiology of influenza A/H3N2.

PLoS BiologyVol. 22(11)
University of North Carolina at Chapel Hill (US), Johns Hopkins University (US), Chinese University of Hong Kong (HK), Shantou University (CN), University of Oxford (GB), London School of Hygiene & Tropical Medicine (GB), Hong Kong Jockey Club (HK), Twelfth Guangzhou City People's Hospital (CN), Imperial College London (GB), Lancaster University (GB), University of Hong Kong (HK)
Foundation for the National Institutes of Health, Pfizer, Wellcome Trust, Chinese University of Hong Kong, National Institutes of Health, Medical Research Council, Health and Medical Research Fund, Fogarty International Center, Medical Research Foundation
Good health and well-being
Openalex Percentile: Top 11%
Influenza Virus Research Studies
2.32
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