ArticleiScience2025
Integrative multi-omics analysis
Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Host-Directed Antiviral Strategies Against Influenza Viruses: Host Targets, Multi-Omics Approaches and AI-Assisted Discovery.Veterinary sciences · 2026Review
- Molecular biophysics of viral proteins: From mechanistic insights to microbiological and clinical applications.AIMS microbiology · 2026Review
- Gatm ablation disrupts spermatogenesis by impairing ribosome biogenesis and coupling defective steroid biosynthesis to immunoglobulin silencing.Frontiers in cell and developmental biology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
34 authors.
Funding
Abstract
Influenza A virus (IAV) infection remodels cellular processes to support viral replication. The modulation of host factors by the virus drives pathogenesis during infection, and these factors may serve as therapeutic targets. Here, we infect mice with two IAV strains, H1N1 and H5N1, and analyze lung tissue with multi-omics. Using network propagation analysis, we identify twenty-four distinct host modules altered by infection, encompassing 2920 genes/proteins. Independently, we develop a computational pipeline, MidTOD, which integrates metabolomic data with other OMICs data-types, linking metabolites to gene/protein alterations. Combining datasets from both approaches reveals alterations in mitochondrial and peroxisomal metabolism in IAV-infected cells and identifies arginine:glycine amidinotransferase (GATM) as a host dependency factor in both human cells and mice. Knockdown of this enzyme reduces IAV-mediated pathology and host inflammatory responses after infection. Collectively, this work provides an integrated systems-level view of host changes during infection and identifies an abundance of IAV-host factors.
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Registered trials
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.