Article in Emerging microbes & infections, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
Francesc Català-MollIrsiCaixa, Germans Trias i Pujol Research Institute (IGTP), Universitat Autònoma de Barcelona (UAB), Badalona, Spain.ORCID 0000-0002-2354-8648
Maria CasadellàIrsiCaixa, Germans Trias i Pujol Research Institute (IGTP), Universitat Autònoma de Barcelona (UAB), Badalona, Spain.ORCID 0000-0002-4115-2305
Sara Tolosa-AlarcónComputational Biology Group, Life Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona, Spain.ORCID 0009-0002-8409-0834
Eloi Franco-TrepatIrsiCaixa, Germans Trias i Pujol Research Institute (IGTP), Universitat Autònoma de Barcelona (UAB), Badalona, Spain.ORCID 0000-0001-7514-4672
Rytis BoreikaIrsiCaixa, Germans Trias i Pujol Research Institute (IGTP), Universitat Autònoma de Barcelona (UAB), Badalona, Spain.ORCID 0000-0001-6720-1577
Josep EstruchServei d'Ecopatologia de Fauna Salvatge (SEFaS) and Wildlife Ecology and Health group (WE&H), Departament de Medicina i Cirurgia Animals, Facultat de Veterinària, Campus de la Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain.ORCID 0000-0001-7635-7434
Rafael Molina-LópezCentre de Fauna de Torreferrussa, Àrea de Gestió Ambiental Servei de Fauna i Flora, Forestal Catalana, Santa Perpètua de Mogoda, Spain.ORCID 0000-0002-9043-2346
Mariona PareraIrsiCaixa, Germans Trias i Pujol Research Institute (IGTP), Universitat Autònoma de Barcelona (UAB), Badalona, Spain.ORCID 0000-0002-0756-8307
Marta Pérez-SimóUnitat Mixta d'investigació IRTA-UAB en Sanitat Animal, CReSA, UAB, Bellaterra, Bellaterra, Spain.ORCID 0009-0003-1716-8643
Joan RepullésUnitat Mixta d'investigació IRTA-UAB en Sanitat Animal, CReSA, UAB, Bellaterra, Bellaterra, Spain.ORCID 0000-0003-3302-8272
Alfonso ValenciaComputational Biology Group, Life Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona, Spain.ORCID 0000-0002-8937-6789
Roger ParedesCIBER Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.ORCID 0000-0002-6553-691X
Nuria Izquierdo-UserosIrsiCaixa, Germans Trias i Pujol Research Institute (IGTP), Universitat Autònoma de Barcelona (UAB), Badalona, Spain.ORCID 0000-0002-1039-1821
Miguel Romero-DuranaComputational Biology Group, Life Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona, Spain.ORCID 0000-0001-6779-8553
Karl KochanowskiUnitat Mixta d'investigació IRTA-UAB en Sanitat Animal, CReSA, UAB, Bellaterra, Bellaterra, Spain.ORCID 0000-0002-1884-7694
Identifying animal species that are susceptible to the plethora of existing and emerging viruses is critical for predicting and containing disease outbreaks. Current efforts to assess viral tropism largely rely on experimental infection models, but such experiments are logistically and ethically infeasible for many wildlife species. To tackle this challenge, we developed a panel of airway organoids from ten taxonomically diverse wildlife and livestock species and evaluated their susceptibility to influenza viruses of mammalian (pH1N1) and avian (H5N1) origin. Our analyses revealed large host-specific differences in infection rate and cytopathogenicity that aligned with known
Indexed as
Animals, WildInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H5N1 SubtypeOrganoidsOrthomyxoviridae InfectionsViral TropismAdaptation, PhysiologicalAnimalsBirdsHost SpecificityHumansInfluenza in BirdsAirway OrganoidsH1N1(pdm09)H5N1 HPAIVhost tropismInfluenza viruswildlife species
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.
Airway organoids reveal patterns of influenza A tropism and adaptation in wildlife species. · full record | OpenQuestion