Evidence map›Paper›PMID 34262041›Full record

ArticleNature communications2021

Lineage-specific protection and immune imprinting shape the age distributions of influenza B cases.

Marcos C Vieira, Celeste M Donato, Philip Arevalo, Guus F Rimmelzwaan, Timothy Wood, Liza Lopez, Q Sue Huang, Vijaykrishna Dhanasekaran, Katia Koelle, Sarah Cobey

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Comparisons in the Health and Economic Assessments of Using Quadrivalent Versus Trivalent Influenza Vaccines: A Systematic Literature Review.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2023
    Pooled it
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  9. Prophylactic monoclonal antibodies against respiratory syncytial virus in early life: An in-depth review of mechanisms of action, failure factors, and future perspectives.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025
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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

10 authors at 7 institutions in 4 countries.

Marcos C VieiraDepartment of Ecology and Evolution, University of Chicago, Chicago, IL, USA. mvieira@uchicago.edu.ORCID http://orcid.org/0000-0002-6731-4202
Celeste M DonatoEnteric Diseases Group, Murdoch Children's Research Institute, Parkville, VIC, Australia.
Philip ArevaloDepartment of Ecology and Evolution, University of Chicago, Chicago, IL, USA.
Guus F RimmelzwaanResearch Center for Emerging Infections and Zoonoses, University of Veterinary Medicine Hannover, Hannover, Germany.
Timothy WoodInstitute of Environmental Science and Research, Wellington, New Zealand.
Liza LopezInstitute of Environmental Science and Research, Wellington, New Zealand.
Q Sue HuangInstitute of Environmental Science and Research, Wellington, New Zealand.ORCID http://orcid.org/0000-0002-3923-5195
Vijaykrishna DhanasekaranDepartment of Microbiology, Biomedicine Discovery Institute, Monash University, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0003-3293-6279
Katia KoelleDepartment of Biology, Emory University, Atlanta, GA, USA.
Sarah CobeyDepartment of Ecology and Evolution, University of Chicago, Chicago, IL, USA. cobey@uchicago.edu.ORCID http://orcid.org/0000-0001-5298-8979
New Zealand Institute for Public Health and Forensic Science · NZUniversity of Chicago · USAustralian Regenerative Medicine Institute · AUEmory University · USThe University of Melbourne · AUUniversity of Illinois Chicago · USUniversity of Veterinary Medicine Hannover, Foundation · DE

Funding

Understanding Transmission with Integrated Genetic and Epidemiologic InferenceU54GM111274 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BEDFORD, TREVOR BC · 2014 to 2018
$12.5M
Modeling the Evolutionary Dynamics of Immunity to Influenza for Vaccine DevelopmeDP2AI117921 · NIAID · UNIVERSITY OF CHICAGO · PI COBEY, SARAH · 2014 to 2014
$2.1M
Identifying determinants of human immunity against influenza: a multiscale approachF32AI145177 · NIAID · UNIVERSITY OF CHICAGO · PI AREVALO, PHILIP · 2019 to 2020
$131k
NIAID NIH HHS DP2 AI117921NIAID NIH HHS F32 AI145177NIAID NIH HHS HHSN272201400005CNIAID NIH HHS HHSN272201400006CNIGMS NIH HHS U54 GM111274
6 · The paper itself

Abstract

How a history of influenza virus infections contributes to protection is not fully understood, but such protection might explain the contrasting age distributions of cases of the two lineages of influenza B, B/Victoria and B/Yamagata. Fitting a statistical model to those distributions using surveillance data from New Zealand, we found they could be explained by historical changes in lineage frequencies combined with cross-protection between strains of the same lineage. We found additional protection against B/Yamagata in people for whom it was their first influenza B infection, similar to the immune imprinting observed in influenza A. While the data were not informative about B/Victoria imprinting, B/Yamagata imprinting could explain the fewer B/Yamagata than B/Victoria cases in cohorts born in the 1990s and the bimodal age distribution of B/Yamagata cases. Longitudinal studies can test if these forms of protection inferred from historical data extend to more recent strains and other populations.

Indexed as

Age DistributionCross ProtectionHumansImmunologic MemoryInfluenza B virusInfluenza, HumanModels, StatisticalNew ZealandProbability

Identifiers

PMID34262041
PMCPMC8280188
OpenAlexW3179817427

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.