Evidence map›Paper›PMID 42733657›Full record

ArticleiScience2026

Proteomic analyses of seasonal human respiratory viruses unravel changes related to antiviral, inflammatory, and cell death pathways.

Júlia A Cerato, M Immanuel R Madlangsakay, Rene P Zahedi, Barbara N Porto, Kevin M Coombs

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Júlia A CeratoDepartment of Medical Microbiology and Infectious Diseases, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0J9, Canada.
M Immanuel R MadlangsakayManitoba Centre for Proteomics and Systems Biology, Winnipeg, MB R3E 3P4, Canada.
Rene P ZahediManitoba Centre for Proteomics and Systems Biology, Winnipeg, MB R3E 3P4, Canada.
Barbara N PortoDepartment of Medical Microbiology and Infectious Diseases, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0J9, Canada.
Kevin M CoombsDepartment of Medical Microbiology and Infectious Diseases, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0J9, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Newly emerging and re-emerging viruses are of significant global concern. Several viruses cause significant respiratory distress, including human coronaviruses (hCoVs), influenza A viruses (IAVs), and respiratory syncytial virus (RSV). Viruses usurp and modify host cellular processes to successfully replicate. We used quantitative label-free mass spectrometry-based proteomic analyses of transformed human lung A549 cells infected with representative seasonal hCoV, IAV, and RSV at 24 h post-infection to delineate comparative virus-induced host cell alterations. Numerous proteins involved in lipid metabolism, molecular transport, cell death and survival, and inflammatory responses were dysregulated. RSV induced a more profound response in cellular protein quantities than either CoV or IAV. The most significantly affected proteins were enzymes, ion channels, kinases, transcription regulators, and transmembrane receptors. Many canonical pathways also were differentially affected by each virus. The altered expression of proteins and pathways may provide insights into future therapeutic interventions for these viral infections.

Indexed as

antiviral pathwayscell death pathwaysinflammatory pathwaysinfluenza virusproteomic analysesrespiratory syncytial virusseasonal human coronavirus

Identifiers

PMID42733657
PMCPMC13571660

What OpenQuestion holds

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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.