Evidence map›Paper›PMID 32702069›Full record

ArticlePLoS pathogens2020

Life course exposures continually shape antibody profiles and risk of seroconversion to influenza.

Bingyi Yang, Justin Lessler, Huachen Zhu, Chao Qiang Jiang, Jonathan M Read, James A Hay, Kin On Kwok, Ruiyin Shen, Yi Guan, Steven Riley and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 35 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 4 countries.

Bingyi YangDepartment of Biology, University of Florida, Gainesville, Florida, United States of America.ORCID 0000-0002-0811-8332
Justin LesslerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0002-9741-8109
Huachen ZhuState Key Laboratory of Emerging Infectious Diseases and Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong SAR, China.
Chao Qiang JiangGuangzhou No.12 Hospital, Guangzhou, Guangdong, China.
Jonathan M ReadCentre for Health Informatics Computing and Statistics, Lancaster Medical School, Lancaster University, Lancaster, United Kingdom.ORCID 0000-0002-9697-0962
James A HayMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-1998-1844
Kin On KwokThe Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
Ruiyin ShenGuangzhou No.12 Hospital, Guangzhou, Guangdong, China.
Yi GuanState Key Laboratory of Emerging Infectious Diseases and Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong SAR, China.
Steven RileyMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-7904-4804
Derek A T CummingsDepartment of Biology, University of Florida, Gainesville, Florida, United States of America.ORCID 0000-0002-9437-1907
Imperial College London · GBShantou University · CNTwelfth Guangzhou City People's Hospital · CNUniversity of Florida · USChinese University of Hong Kong · HKJohns Hopkins University · USLancaster University · GB

Funding

LINKING ANTIGENIC & GENETIC VARIATION OF DENGUE TO INDIVIDUAL AND POPULATION RISKR01AI114703 · NIAID · UNIVERSITY OF FLORIDA · PI CUMMINGS, DEREK A · 2015 to 2019
$3.6M
Ecology of Infectious Diseases (EID)-Immune Landscapes of Human Influenza in HousR01TW008246 · FIC · JOHNS HOPKINS UNIVERSITY · PI CUMMINGS, DEREK A · 2008 to 2011
$1.9M
Influenza Immunity and Survival in Aging PopulationsR56AG048075 · NIA · JOHNS HOPKINS UNIVERSITY · PI LESSLER, JUSTIN · 2015 to 2015
$600k
Department of HealthFIC NIH HHS R01 TW008246Medical Research Council MC_PC_19012Medical Research Council MR/J008761/1Medical Research Council MR/R015600/1Medical Research Council MR/S004793/1NIAID NIH HHS R01 AI114703NIA NIH HHS R56 AG048075Wellcome TrustWellcome Trust 200187/Z/15/ZWellcome Trust 200861/Z/16/Z
6 · The paper itself

Abstract

Complex exposure histories and immune mediated interactions between influenza strains contribute to the life course of human immunity to influenza. Antibody profiles can be generated by characterizing immune responses to multiple antigenically variant strains, but how these profiles vary across individuals and determine future responses is unclear. We used hemagglutination inhibition titers from 21 H3N2 strains to construct 777 paired antibody profiles from people aged 2 to 86, and developed novel metrics to capture features of these profiles. Total antibody titer per potential influenza exposure increases in early life, then decreases in middle age. Increased titers to one or more strains were seen in 97.8% of participants during a roughly four-year interval, suggesting widespread influenza exposure. While titer changes were seen to all strains, recently circulating strains exhibited the greatest titer rise. Higher pre-existing, homologous titers at baseline reduced the risk of seroconversion to recent strains. After adjusting for homologous titer, we also found an increased frequency of seroconversion against recent strains among those with higher immunity to older previously exposed strains. Including immunity to previously exposures also improved the deviance explained by the models. Our results suggest that a comprehensive quantitative description of immunity encompassing past exposures could lead to improved correlates of risk of influenza infection.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsAntibodies, ViralChildChild, PreschoolFemaleHumansInfluenza A Virus, H3N2 SubtypeInfluenza, HumanMaleMiddle AgedSeroconversionYoung AdultAntibodies, Viral

Identifiers

PMID32702069
PMCPMC7377380
OpenAlexW3044541968

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.