Evidence map›Paper›PMID 35614123›Full record

ArticleScientific reports2022

Cross-reactive immunity potentially drives global oscillation and opposed alternation patterns of seasonal influenza A viruses.

Lorenzo Gatti, Mischa H Koenen, Jitao David Zhang, Maria Anisimova, Lilly M Verhagen, Martin Schutten, Ab Osterhaus, Erhard van der Vries

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

8 authors.

Lorenzo GattiInstitute of Applied Simulations, Zürich University of Applied Sciences, Einsiedlerstrasse 31a, 8820, Wädenswil, Switzerland.
Mischa H KoenenDepartment of Pediatric Infectious Diseases and Immunology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Lundlaan 6, 3584 EA, Utrecht, The Netherlands.
Jitao David ZhangRoche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, 4070, Basel, Switzerland.
Maria AnisimovaInstitute of Applied Simulations, Zürich University of Applied Sciences, Einsiedlerstrasse 31a, 8820, Wädenswil, Switzerland.
Lilly M VerhagenDepartment of Pediatric Infectious Diseases and Immunology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Lundlaan 6, 3584 EA, Utrecht, The Netherlands.
Martin SchuttenDepartment of Viroscience, Erasmus University Medical Center, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.
Ab OsterhausResearch Center for Emerging Infections and Zoonoses, Veterinary University Hannover, Bünteweg 9, 30559, Hannover, Germany.
Erhard van der VriesDepartment of Viroscience, Erasmus University Medical Center, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands. e.vd.vries@gddiergezondheid.nl.

Funding

Swiss National Science Foundation 157064
6 · The paper itself

Abstract

Several human pathogens exhibit distinct patterns of seasonality and circulate as pairs. For instance, influenza A virus subtypes oscillate and peak during winter seasons of the world's temperate climate zones. Alternation of dominant strains in successive influenza seasons makes epidemic forecasting a major challenge. From the start of the 2009 influenza pandemic we enrolled influenza A virus infected patients (n = 2980) in a global prospective clinical study. Complete hemagglutinin sequences were obtained from 1078 A/H1N1 and 1033 A/H3N2 viruses. We used phylodynamics to construct high resolution spatio-temporal phylogenetic hemagglutinin trees and estimated global influenza A effective reproductive numbers (R) over time (2009-2013). We demonstrate that R oscillates around R = 1 with a clear opposed alternation pattern between phases of the A/H1N1 and A/H3N2 subtypes. Moreover, we find a similar alternation pattern for the number of global viral spread between the sampled geographical locations. Both observations suggest a between-strain competition for susceptible hosts on a global level. Extrinsic factors that affect person-to-person transmission are a major driver of influenza seasonality. The data presented here indicate that cross-reactive host immunity is also a key intrinsic driver of influenza seasonality, which determines the influenza A virus strain at the onset of each epidemic season.

Indexed as

Influenza A virusInfluenza A Virus, H1N1 SubtypeInfluenza, HumanHemagglutininsHumansInfluenza A Virus, H3N2 SubtypePhylogenyProspective StudiesSeasonsHemagglutinins

Identifiers

PMID35614123
PMCPMC9131982

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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.