ArticleNature communications2022
Cell specific peripheral immune responses predict survival in critical COVID-19 patients.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- A systematic review of artificial intelligence-based COVID-19 modeling on multimodal genetic information.Progress in biophysics and molecular biology · 2023Pooled it
- Immune dysregulation triggered by inflammatory cytokines in patients with severe respiratory infections.Respiratory research · 2026Article
- Immune profiling in a living human recipient of a gene-edited pig kidney.Nature medicine · 2026Article
- Article
- Neutrophil extracellular traps associated with severity and prognosis of community-acquired pneumonia.Clinical and experimental medicine · 2025Article
- Cell Viability, Drug Screening, and Mechanism Study Under Mild Phototherapy Integrated Chemotherapy (PIC).Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Minimalistic transcriptomic signatures permit accurate early prediction of COVID-19 mortality.JCI insight · 2025Article
- Poly(A) tail dynamics, non-adenine incorporation and alternative polyadenylation shape the host transcriptome in COVID-19 pathogenesis.Scientific reports · 2025Article
- Amplification of select autonomous HERV loci and surrounding host gene transcription in monocytes from patients with post-acute sequelae of COVID-19.Frontiers in immunology · 2025Article
- Multi-omics and machine learning identify novel biomarkers and therapeutic targets of COVID-19.Frontiers in immunology · 2025Article
- A genome-wide association study identifies new loci associated with response to SARS-CoV-2 mRNA-1273 vaccine in a cohort of healthy healthcare workers.Frontiers in immunology · 2025Article
- Shared and unique patterns of autonomous human endogenous retrovirus loci transcriptomes in CD14 + monocytes from individuals with physical trauma or infection with COVID-19.Retrovirology · 2024Article
- Article
- Shared genetics and causal association between plasma levels of SARS-CoV-2 entry receptor ACE2 and Alzheimer's disease.CNS neuroscience & therapeutics · 2024Article
- SARS-CoV-2 inflammation durably imprints memory CD4 T cells.Science immunology · 2024Article
- Type I interferons induce an epigenetically distinct memory B cell subset in chronic viral infection.Immunity · 2024Article
- scNovel: a scalable deep learning-based network for novel rare cell discovery in single-cell transcriptomics.Briefings in bioinformatics · 2024Article
- Generic model to unravel the deeper insights of viral infections: an empirical application of evolutionary graph coloring in computational network biology.BMC bioinformatics · 2024Article
- Article
- The unfolded protein response pathway as a possible link in the pathogenesis of COVID-19 and sepsis.Archives of virology · 2024Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
SARS-CoV-2 triggers a complex systemic immune response in circulating blood mononuclear cells. The relationship between immune cell activation of the peripheral compartment and survival in critical COVID-19 remains to be established. Here we use single-cell RNA sequencing and Cellular Indexing of Transcriptomes and Epitomes by sequence mapping to elucidate cell type specific transcriptional signatures that associate with and predict survival in critical COVID-19. Patients who survive infection display activation of antibody processing, early activation response, and cell cycle regulation pathways most prominent within B-, T-, and NK-cell subsets. We further leverage cell specific differential gene expression and machine learning to predict mortality using single cell transcriptomes. We identify interferon signaling and antigen presentation pathways within cDC2 cells, CD14 monocytes, and CD16 monocytes as predictors of mortality with 90% accuracy. Finally, we validate our findings in an independent transcriptomics dataset and provide a framework to elucidate mechanisms that promote survival in critically ill COVID-19 patients. Identifying prognostic indicators among critical COVID-19 patients holds tremendous value in risk stratification and clinical management.
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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.