ArticleNature communications2024
Sustained IFN signaling is associated with delayed development of SARS-CoV-2-specific immunity.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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Who cites it
15 citing papers in PubMed.
- Interferon-induced transmembrane (IFITM) proteins at the tumour-immune interface: A four-axis framework for their context-dependent roles.Clinical and translational medicine · 2026Review
- Single-cell transcriptomic analysis deciphers heterogeneity and transcriptional regulatory programs of sepsis with different prognosis.Biology direct · 2026Article
- Widespread gene-environment interactions shape the immune response to SARS-CoV-2 infection in hospitalized COVID-19 patients.Nature communications · 2026Article
- Human pneumovirus induces IFN-dependent expression of the immune-responsive gene 1 and is inhibited by 4-octyl itaconate in human macrophages.NAR molecular medicine · 2026Article
- Decoding miRNA-Mediated Immunoregulation in SARS-CoV-2, HBV, HIV, and HSV Infections.Genes and immunity · 2026Review
- N6-methyladenosine as a potential epitranscriptomic immune rheostat during SARS-CoV-2 infection.Frontiers in immunology · 2026Review
- Bench evaluation of six non-invasive ventilation home ventilators: comparison with an ICU ventilator and unsupervised clustering.BMJ open respiratory research · 2025Article
- Distinctive Temporal Profiles of Interferon-Stimulated Genes in Natural Infection, Viral Challenge, and Vaccination.Viruses · 2025Article
- APOE genotype confers context-dependent neurovascular vulnerability in immune-vascularized human forebrain organoids.bioRxiv : the preprint server for biology · 2025Article
- Machine-learning analysis identifies "elite" viral controllers with increased survival and homeostatic responses in critical COVID-19.Clinical and translational medicine · 2025Article
- Transcriptomic profiling of severe and critical COVID-19 patients reveals alterations in expression, splicing and polyadenylation.Scientific reports · 2025Article
- mRNA vaccine-induced SARS-CoV-2 spike-specific IFN-γ and IL-2 T-cell responses are predictive of serological neutralization and are transiently enhanced by pre-existing cross-reactive immunity.Journal of virology · 2025Article
- Granulocyte colony-stimulating factor protects against acute systemic alphavirus disease in a type I IFN-dependent manner.Frontiers in immunology · 2025Article
- Immune Biomarkers at Birth Predict Lower Respiratory Tract Infection Risk in a Large Birth Cohort.Pathogens (Basel, Switzerland) · 2024Article
- Multiple Mechanisms of Action of SulfodyneAntioxidants (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
47 authors.
Funding
Abstract
Plasma RNAemia, delayed antibody responses and inflammation predict COVID-19 outcomes, but the mechanisms underlying these immunovirological patterns are poorly understood. We profile 782 longitudinal plasma samples from 318 hospitalized patients with COVID-19. Integrated analysis using k-means reveals four patient clusters in a discovery cohort: mechanically ventilated critically-ill cases are subdivided into good prognosis and high-fatality clusters (reproduced in a validation cohort), while non-critical survivors segregate into high and low early antibody responders. Only the high-fatality cluster is enriched for transcriptomic signatures associated with COVID-19 severity, and each cluster has distinct RBD-specific antibody elicitation kinetics. Both critical and non-critical clusters with delayed antibody responses exhibit sustained IFN signatures, which negatively correlate with contemporaneous RBD-specific IgG levels and absolute SARS-CoV-2-specific B and CD4
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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.