ReviewFrontiers in immunology2025
Single-cell multi-omics-based immune temporal network resolution in sepsis: unravelling molecular mechanisms and precise therapeutic targets.
Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Tissue-Resident Macrophage in Inflammation and Cancer.MedComm · 2026Review
- Data-intensive immune network modelling for One Health.Briefings in bioinformatics · 2026Review
- Multi-omics insights into immunometabolic dysregulation in neonatal sepsis for precision medicine.Molecular biology reports · 2026Review
- Myeloid-derived suppressor cells in sepsis: drivers of persistent immunosuppression and targets for precision immunotherapy.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Review
- DC-CD4 bispecific tolerogenic nanovesicles induce antigen-specific regulatory T cells and ameliorate collagen-induced arthritis in mice.Nature communications · 2026Article
- Metabolic reprogramming in sepsis-associated encephalopathy: emerging mechanisms, candidate biomarkers, and future therapeutic directions.Frontiers in medicine · 2026Review
- Peripheral Blood Mononuclear Cells in Sepsis: Immune Trajectories, Monocyte Dysfunction, and Translational Biomarkers.Journal of inflammation research · 2026Review
- Drug repurposing of sophoridine for sepsis-induced organ injury: from in-depth analysis of a single agent to a multi-target therapeutic paradigm.Frontiers in pharmacology · 2026Review
- Pathological networks and multi-target interventions in sepsis-associated acute lung injury: from pathogen-host interactions to gut-lung axis regulation.Frontiers in immunology · 2026Review
- Integrated multi-omics deciphers sepsis immune dysregulation: a dual-pathway targeted small-molecule therapy improves survival and ameliorates multi-organ dysfunction.Frontiers in immunology · 2026Article
- Immune regulation and therapeutic targets in sepsis: insights from single-cell transcriptomics.Frontiers in immunology · 2026Review
- Metabolic and post-translational modifications in sepsis-associated immune dysfunction: a conceptual framework.Frontiers in immunology · 2026Review
- Cross-talk between aging resilience pathways and autoimmunity onset.Frontiers in immunology · 2025Review
- Decoding immune low-response states in sepsis: single-cell and 3D spatial transcriptomic insights into immunoparalysis.Frontiers in immunology · 2025Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Sepsis is the leading cause of death globally (49 million cases per year with a 25-30% morbidity and mortality rate), but its immunopathology remains incompletely elucidated. Conventional models of 'uncontrolled inflammation' fail to explain the diversity of immune status in patients at different stages of the disease, and there is an urgent need for a dynamic, time-series perspective to reveal key regulatory nodes. Methods: Forty-six studies (2014-2024) were retrieved under PRISMA-2020 across 12 databases. Raw single-cell RNA-seq, ATAC-seq and CITE-seq matrices (≈1 million immune cells) were uniformly reprocessed, harmonised with scMGNN, and mapped onto pseudotime and RNA-velocity trajectories. Ordinary and stochastic differential-equation models quantified pro-/anti-inflammatory flux. Results: Multi-omics fusion increased immune-cell classification accuracy from 72.3% to 89.4% (adjusted Rand index, Conclusion: In this study, an "immune clock" model of sepsis was constructed based on single-cell multi-omics data, which accurately depicted three key decision nodes, namely, monocyte-macrophage differentiation, initiation of T-cell depletion and irreversible immune suppression, and identified the corresponding molecular targets (e.g., IRF8, TOX). This model provides a clear time window and targeting strategy for individualised immune intervention in sepsis.
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