Back to search

Article

Systemic Multi-Omics Analysis Reveals Interferon Response Heterogeneity and Links Lipid Metabolism to Immune Alterations in Severe COVID-19

2025-03-17

Abstract excerpt

The immune response to SARS-CoV-2 infection is highly heterogeneous, and interferon (IFN)-stimulated genes (ISGs) play a central but context-dependent role in antiviral defense and immune dysregulation. To investigate how ISG heterogeneity relates to immune and metabolic states, we performed an integrated analysis of whole-blood transcriptomics, plasma proteomics, metabolomics, and immune activation markers in hos...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
1f553ec5-1ace-5ac0-bb41-2c6b65adf703
DOI
10.1101/2025.03.14.643374
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Systemic Multi-Omics Analysis Reveals Interferon Response Heterogeneity and Links Lipid Metabolism to Immune Alterations in Severe COVID-19DOI 10.1101/2025.03.14.643374
Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19Semantic proximity
Integrated longitudinal multi-omics study identifies immune programs associated with COVID-19 severity and mortality in 1152 hospitalized participantsSemantic proximity
Specialized interferon action in COVID-19Semantic proximity
Multiomic Immunophenotyping of COVID-19 Patients Reveals Early Infection TrajectoriesSemantic proximity
COVID-19 severity is associated with immunopathology and multi-organ damageSemantic proximity
Multiomics Personalized Network Analyses Highlight Progressive Immune Disruption of Central Metabolism Associated with COVID-19 SeveritySemantic proximity
Immune and Metabolic Signatures of COVID-19 Revealed by Transcriptomics Data ReuseSemantic proximity
Sequential multi-omics analysis identifies clinical phenotypes and predictive biomarkers for long COVID.Semantic proximity
Multiomic Immunophenotyping of COVID-19 Patients Reveals Early Infection TrajectoriesSemantic proximity
Integrated analysis of plasma and single immune cells uncovers metabolic changes in individuals with COVID-19Semantic proximity
Persistent immune dysregulation and metabolic alterations following SARS-CoV-2 infectionSemantic proximity
The Trans-omics Landscape of COVID-19Semantic proximity
Select a neighboring publication to make it the new centre.