ArticlePLoS biology2015
Estimating the life course of influenza A(H3N2) antibody responses from cross-sectional data.
Article in PLoS biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
107 citing papers in PubMed.
- Antibody dynamics in Japanese paediatric patients with influenza A infection treated with neuraminidase inhibitors in a randomised trial.Scientific reports · 2019Trial
- Subdominance and poor intrinsic immunogenicity limit humoral immunity targeting influenza HA stem.The Journal of clinical investigation · 2019Trial
- Estimating the Severity Profile of Enterovirus A71 Infections in Children: A Bayesian Synthesis Framework.American journal of epidemiology · 2019Trial
- Immunogenicity of Influenza Vaccines: Evidence for Differential Effect of Secondary Vaccination on Humoral and Cellular Immunity.Frontiers in immunology · 2018Trial
- The ageing immune system and its battle with viruses.The Journal of general virology · 2026Review
- The roles of pre-season immunity, age, viral shedding, and community exposures in shaping influenza household transmission dynamics.Nature communications · 2026Article
- Defining the molecular interaction between influenza hemagglutinin and MHC-II.bioRxiv : the preprint server for biology · 2026Article
- Repeat Influenza Vaccination Effects in 2021/22 and 2022/23 in a Community-Based Cohort in Hong Kong.The Journal of infectious diseases · 2026Article
- Article
- CAPYBARA: A generalizable framework for predicting serological measurements across human cohorts.PLoS computational biology · 2026Article
- Article
- Multiplex serology reveals age-specific immunodynamics of respiratory pathogens in the wake of the COVID-19 pandemic.Nature communications · 2025Article
- High-throughput neutralization measurements correlate strongly with evolutionary success of human influenza strains.bioRxiv : the preprint server for biology · 2025Article
- The impact of Omicron infection on antibody response and attenuation: a six-month follow-up study.BMC infectious diseases · 2025Article
- Immunity to Influenza B/Yamagata-Lineage Viruses Has Not Waned Since the Disappearance of This Virus Lineage.Influenza and other respiratory viruses · 2025Article
- Near real-time data on the human neutralizing antibody landscape to influenza virus to inform vaccine-strain selection in September 2025.bioRxiv : the preprint server for biology · 2025Article
- Breadth of influenza A antibody cross-reactivity varies by virus isolation interval and subtype.Nature microbiology · 2025Article
- Multiplex serology reveals age-specific immunodynamics of endemic respiratory pathogens in the wake of the COVID-19 pandemic.medRxiv : the preprint server for health sciences · 2025Article
- The Use of Residual Blood Specimens in Seroprevalence Studies for Vaccine-Preventable Diseases: A Scoping Review.Vaccines · 2025Review
- How immunity shapes the long-term dynamics of influenza H3N2.PLoS computational biology · 2025Article
47 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
The immunity of a host population against specific influenza A strains can influence a number of important biological processes, from the emergence of new virus strains to the effectiveness of vaccination programmes. However, the development of an individual's long-lived antibody response to influenza A over the course of a lifetime remains poorly understood. Accurately describing this immunological process requires a fundamental understanding of how the mechanisms of boosting and cross-reactivity respond to repeated infections. Establishing the contribution of such mechanisms to antibody titres remains challenging because the aggregate effect of immune responses over a lifetime are rarely observed directly. To uncover the aggregate effect of multiple influenza infections, we developed a mechanistic model capturing both past infections and subsequent antibody responses. We estimated parameters of the model using cross-sectional antibody titres to nine different strains spanning 40 years of circulation of influenza A(H3N2) in southern China. We found that "antigenic seniority" and quickly decaying cross-reactivity were important components of the immune response, suggesting that the order in which individuals were infected with influenza strains shaped observed neutralisation titres to a particular virus. We also obtained estimates of the frequency and age distribution of influenza infection, which indicate that although infections became less frequent as individuals progressed through childhood and young adulthood, they occurred at similar rates for individuals above age 30 y. By establishing what are likely to be important mechanisms driving epochal trends in population immunity, we also identified key directions for future studies. In particular, our results highlight the need for longitudinal samples that are tested against multiple historical strains. This could lead to a better understanding of how, over the course of a lifetime, fast, transient antibody dynamics combine with the longer-term immune responses considered here.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.