ArticleClinical and translational medicine2020
Definition of erythroid cell-positive blood transcriptome phenotypes associated with severe respiratory syncytial virus infection.
Article in Clinical and translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 45 citations in OpenAlex.
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- Identification of core differentially expressed genes for respiratory syncytial virus infection.Global medical genetics · 2026Article
- Hexokinase 3 promoted cytokine production of monocytes by targeting metabolic reprogramming and histone lactylation in sepsis.Clinical epigenetics · 2026Article
- Oxidative stress-related genes in Kawasaki disease: a multi-omics Mendelian randomization study.Italian journal of pediatrics · 2026Article
- Identification of potential characteristic genes in sepsis utilizing RNA sequencing and gene silence.BMC immunology · 2025Article
- Early prediction of severe RSV-associated ALRTI in Asian pediatric patients: a simple nomogram.BMC pediatrics · 2025Article
- Automating candidate gene prioritization with large language models: from naive scoring to literature-grounded validation.Bioinformatics (Oxford, England) · 2025Article
- Whole-Blood Longitudinal Molecular Profiling Maps the Road of Graft Versus Host Disease (GVHD).Cancers · 2025Article
- From gene modules to gene markers: an integrated AI-human approach selects CD38 to represent plasma cell-associated transcriptional signatures.Frontiers in medicine · 2025Article
- Decoding the genetic landscape of juvenile dermatomyositis: insights from phosphorylation-associated single nucleotide polymorphisms.Immunogenetics · 2024Article
- Human-augmented large language model-driven selection of glutathione peroxidase 4 as a candidate blood transcriptional biomarker for circulating erythroid cells.Scientific reports · 2024Article
- A data browsing application for accessing gene and module-level blood transcriptome profiles of healthy pregnant women from high- and low-resource settings.Database : the journal of biological databases and curation · 2024Article
- Design of a targeted blood transcriptional panel for monitoring immunological changes accompanying pregnancy.Frontiers in immunology · 2024Article
- Harnessing large language models (LLMs) for candidate gene prioritization and selection.Journal of translational medicine · 2023Article
- A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations.Cell reports. Medicine · 2022Article
- High-temporal resolution profiling reveals distinct immune trajectories following the first and second doses of COVID-19 mRNA vaccines.Science advances · 2022Article
- An artificial neural network model based on autophagy-related genes in childhood systemic lupus erythematosus.Hereditas · 2022Article
- Hematopoietic responses to SARS-CoV-2 infection.Cellular and molecular life sciences : CMLS · 2022Review
- Transcriptomic profile investigations highlight a putative role for NUDT16 in sepsis.Journal of cellular and molecular medicine · 2022Article
Corrections and comments
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Authors and funding
15 authors at 6 institutions in 4 countries.
Funding
Abstract
Biomarkers to assess the risk of developing severe respiratory syncytial virus (RSV) infection are needed. We conducted a meta-analysis of 490 unique profiles from six public RSV blood transcriptome datasets. A repertoire of 382 well-characterized transcriptional modules was used to define dominant host responses to RSV infection. The consolidated RSV cohort was stratified according to four traits: "interferon response" (IFN), "neutrophil-driven inflammation" (Infl), "cell cycle" (CC), and "erythrocytes" (Ery). We identified eight prevalent blood transcriptome phenotypes, of which three Ery+ phenotypes comprised higher proportions of patients requiring intensive care. This finding confirms on a larger scale data from one of our earlier reports describing an association between an erythrocyte signature and RSV disease severity. Further contextual interpretation made it possible to associate this signature with immunosuppressive states (late stage cancer, pharmacological immunosuppression), and with a population of fetal glycophorin A+ erythroid precursors. Furthermore, we posit that this erythrocyte cell signature may be linked to a population of immunosuppressive erythroid cells previously described in the literature, and that overabundance of this cell population in RSV patients may underlie progression to severe disease. These findings outline potential priority areas for biomarker development and investigations into the immune biology of RSV infection. The approach that we developed and employed here should also permit to delineate prevalent blood transcriptome phenotypes in other settings.
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Registered trials
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