ArticleiScience2022
Single-cell transcriptome profiling reveals heterogeneous neutrophils with prognostic values in sepsis.
Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
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Who cites it
37 citing papers in PubMed, 39 citations in OpenAlex.
- Phenotypic profiling of neutrophils in acuteGut microbes · 2026Article
- Granulocyte heterogeneity in immune-mediated and inflammatory diseases: insights from single-cell transcriptomic analyses.International immunology · 2026Review
- A skin-kidney neutrophil axis links ultraviolet exposure to renal angiogenesis and tissue remodeling in healthy and lupus kidneys.Journal of immunology (Baltimore, Md. : 1950) · 2026Article
- Epigenetic regulation of neutrophil dysfunction in sepsis: mechanisms, biomarkers, and translational challenges.Journal of translational medicine · 2026Review
- Longitudinal blood transcriptome profiling reveals immune dynamics in sepsis.BMC infectious diseases · 2026Article
- Neutrophil Transcriptomic Changes in Severe Sterile Vasoplegic Syndrome Resemble a Distinct Molecular Subtype of Septic Shock.Shock (Augusta, Ga.) · 2026Article
- The Dual Role of Interleukin-10 in Sepsis: Research Progress and Therapeutic Prospects.Inflammation · 2026Review
- Adenovirus phagocytosis by neutrophils triggers a pro-inflammatory response.PLoS pathogens · 2026Article
- Single-cell transcriptomics reveals pathogen-specific monocyte heterogeneity and potential biomarkers in gram-positive versus gram-negative bloodstream infections.World journal of emergency medicine · 2026Article
- Single-cell multi-omic landscape reveals anatomical-specific immune features in adult and pediatric sepsis.Nature immunology · 2026Article
- Stage-specific neutrophil states in neonatal injury: from antimicrobial deficiency to pro-resolution repair.Frontiers in immunology · 2026Review
- The high-risk phenotype for gastrointestinal vulnerability in sepsis and 28-day mortality: an integrative study based on clinical association and cross-level biological support.Frontiers in medicine · 2026Article
- Multi‑omics reveal neutrophil heterogeneity in sepsis (Review).International journal of molecular medicine · 2025Review
- Neutrophil-derived extracellular vesicles in the plasma of alpha-1 antitrypsin deficient individuals reveal pro-inflammatory metabolic and transcriptomic signatures.Extracellular vesicle · 2025Article
- Research Progress on Sepsis Diagnosis and Monitoring Based on Omics Technologies: A Review.Diagnostics (Basel, Switzerland) · 2025Review
- MMPs and NETs are detrimental in CNS-tuberculosis with MMP Inhibition in CNS-tuberculosis mice improving survival.Journal of neuroinflammation · 2025Article
- Integrated single-cell transcriptomics and Mendelian randomization identify neutrophil-associated biomarker genes in colorectal cancer.Discover oncology · 2025Article
- Integrated single-cell atlas of human atherosclerotic plaques.Nature communications · 2025Article
- Article
- Association between neutrophil-platelet ratio and 28-day mortality in patients with sepsis: a retrospective analysis based on MIMIC-IV database.BMC infectious diseases · 2025Article
Corrections and comments
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Authors and funding
10 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neutrophils constitute the largest proportion of nucleated peripheral blood cells, and neutrophils have substantial heterogeneity. We profiled nearly 300,000 human peripheral blood cells in this study using single-cell RNA sequencing. A large proportion (>50%) of these cells were annotated as neutrophils. Neutrophils were further clustered into four subtypes, including Neu1, Neu2, Neu3, and Neu4. Neu1 is characterized by high expression of MMP9, HP, and RGL4. Neu1 was associated with septic shock and significantly correlated with the sequential organ failure assessment (SOFA) score. A gene expression module in Neu1 named Neu1_C (characterized by expression of NFKBIA, CXCL8, G0S2, and FTH1) was highly predictive of septic shock with an area under the curve of 0.81. The results were extensively validated in external bulk datasets by using single-cell deconvolution methods. In summary, our study establishes a general framework for studying neutrophil-related mechanisms, prognostic biomarkers, and potential therapeutic targets for septic shock.
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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.