Evidence map›Paper›PMID 34675048›Full record

ArticleThe European respiratory journal2022

Profiling of lung SARS-CoV-2 and influenza virus infection dissects virus-specific host responses and gene signatures.

Arutha Kulasinghe, Chin Wee Tan, Anna Flavia Ribeiro Dos Santos Miggiolaro, James Monkman, Habib SadeghiRad, Dharmesh D Bhuva, Jarbas da Silva Motta Junior, Caroline Busatta Vaz de Paula, Seigo Nagashima, Cristina Pellegrino Baena and 11 more

Abstract read
In one paragraph

Article in The European respiratory journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Trial
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  7. Article
  8. Review
  9. Spatial-Omics Methods and Applications.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
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  11. Article
  12. Article
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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

21 authors.

Arutha KulasingheQueensland University of Technology, School of Biomedical Sciences, Faculty of Health, Brisbane, Australia arutha.kulasinghe@qut.edu.au.ORCID 0000-0003-3224-7350
Chin Wee TanThe Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia.ORCID 0000-0001-9695-7218
Anna Flavia Ribeiro Dos Santos MiggiolaroPostgraduate Program of Health Sciences, School of Medicine, Hospital Marcelino Champagnat, Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba, Brazil.ORCID 0000-0002-8497-400X
James MonkmanQueensland University of Technology, School of Biomedical Sciences, Faculty of Health, Brisbane, Australia.ORCID 0000-0002-7219-8402
Habib SadeghiRadQueensland University of Technology, School of Biomedical Sciences, Faculty of Health, Brisbane, Australia.
Dharmesh D BhuvaThe Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia.ORCID 0000-0002-6398-9157
Jarbas da Silva Motta JuniorPostgraduate Program of Health Sciences, School of Medicine, Hospital Marcelino Champagnat, Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba, Brazil.
Caroline Busatta Vaz de PaulaPostgraduate Program of Health Sciences, School of Medicine, Hospital Marcelino Champagnat, Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba, Brazil.
Seigo NagashimaPostgraduate Program of Health Sciences, School of Medicine, Hospital Marcelino Champagnat, Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba, Brazil.ORCID 0000-0003-0069-3823
Cristina Pellegrino BaenaSchool of Medicine & Center of Education, Research and Innovation, Hospital Marcelino Champagnat, Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba, Brazil.ORCID 0000-0002-5822-6622
Paulo Souza-Fonseca-GuimaraesDept of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia.
Lucia de NoronhaLaboratory of Experimental Pathology, School of Medicine, Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba, Brazil.ORCID 0000-0003-0310-7164
Timothy McCullochThe University of Queensland Diamantina Institute, The University of Queensland, Woollongabba, Australia.ORCID 0000-0003-0247-7374
Gustavo Rodrigues RossiThe University of Queensland Diamantina Institute, The University of Queensland, Woollongabba, Australia.ORCID 0000-0002-7990-6977
Caroline CooperPathology Queensland, Princess Alexandra Hospital, Woolloongabba, Australia.
Benjamin TangCentre for Immunology and Allergy Research, the Westmead Institute for Medical Research, Sydney, Australia.ORCID 0000-0002-1469-9540
Kirsty R ShortThe University of Queensland, School of Chemistry and Molecular Biosciences, Brisbane, Australia.ORCID 0000-0003-4963-6184
Melissa J DavisThe University of Queensland Diamantina Institute, The University of Queensland, Woollongabba, Australia.ORCID 0000-0003-4864-7033
Fernando Souza-Fonseca-GuimaraesThe University of Queensland Diamantina Institute, The University of Queensland, Woollongabba, Australia.ORCID 0000-0002-2037-8946
Gabrielle T BelzThe University of Queensland Diamantina Institute, The University of Queensland, Woollongabba, Australia.ORCID 0000-0002-9660-9587
Ken O'ByrneQueensland University of Technology, School of Biomedical Sciences, Faculty of Health, Brisbane, Australia.ORCID 0000-0002-6754-5633

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which emerged in late 2019 has spread globally, causing a pandemic of respiratory illness designated coronavirus disease 2019 (COVID-19). A better definition of the pulmonary host response to SARS-CoV-2 infection is required to understand viral pathogenesis and to validate putative COVID-19 biomarkers that have been proposed in clinical studies.

methodsHere, we use targeted transcriptomics of formalin-fixed paraffin-embedded tissue using the NanoString GeoMX platform to generate an in-depth picture of the pulmonary transcriptional landscape of COVID-19, pandemic H1N1 influenza and uninfected control patients.

resultsHost transcriptomics showed a significant upregulation of genes associated with inflammation, type I interferon production, coagulation and angiogenesis in the lungs of COVID-19 patients compared to non-infected controls. SARS-CoV-2 was non-uniformly distributed in lungs (emphasising the advantages of spatial transcriptomics) with the areas of high viral load associated with an increased type I interferon response. Once the dominant cell type present in the sample, within patient correlations and patient-patient variation, had been controlled for, only a very limited number of genes were differentially expressed between the lungs of fatal influenza and COVID-19 patients. Strikingly, the interferon-associated gene

conclusionCollectively, these data demonstrate that spatial transcriptomics is a powerful tool to identify novel gene signatures within tissues, offering new insights into the pathogenesis of SARS-COV-2 to aid in patient triage and treatment.

Indexed as

COVID-19Influenza, HumanInterferon Type IHumansInfluenza A Virus, H1N1 SubtypeLungSARS-CoV-2Interferon Type I

Identifiers

PMID34675048
PMCPMC8542865

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LicenceCC BY-NC
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Registered trials

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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.