ArticleImmunity & ageing : I & A2024
Single-cell landscape of immunological responses in elderly patients with sepsis.
Article in Immunity & ageing : I & A, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Single-cell transcriptomic analysis reveals immune remodeling in bone marrow during aged sepsis.GeroScience · 2026Article
- Age but not sex modifies lymphoid immune responses in murine sepsis.Research square · 2026Article
- Pre-illness Clonal Hematopoiesis of Indeterminate Potential is an Independent Predictor of Morbidity and Mortality in Sepsis.medRxiv : the preprint server for health sciences · 2026Article
- Advanced Age in Mice Exacerbates Sepsis-Induced Inflammation, Vascular Permeability, and Multi-Organ Dysfunction.Shock (Augusta, Ga.) · 2026Article
- Single-Cell RNA-Seq Profiling of Transposable Element Expression in Human Peripheral Blood Cells During Viral Infections.International journal of molecular sciences · 2026Article
- Predictive value of the neutrophil-to-lymphocyte ratio for 28-day mortality in elderly patients with sepsis: a cohort study based on the MIMIC-IV database.BMC infectious diseases · 2026Article
- Multi-Omics Reveals Dysregulation of the Endosome-Lysosome-Autophagy Axis and Immune-Inflammatory Imbalance in Elderly Sepsis.Clinical interventions in aging · 2026Article
- An inflammation-nutrition-surgery-based INSEP model and a web-based clinical decision support system for predicting early postoperative infection in elderly patients with hepatocellular carcinoma: a multicenter retrospective study.Frontiers in nutrition · 2026Article
- Sympathetic regulation of the host immune response to bacterial sepsis.Clinical science (London, England : 1979) · 2025Review
- Predictive model for carbapenem-resistant Klebsiella pneumoniae bloodstream infection based on a nomogram: a retrospective study.BMC research notes · 2025Article
- Unraveling immunosenescence in sepsis: from cellular mechanisms to therapeutics.Cell death & disease · 2025Review
- Immunosenescence in Sepsis: Molecular Mechanisms and Potential Therapeutic Targets.Aging and disease · 2025Review
- Critical appraisal of the prognostic value of presepsin in sepsis: methodological and interpretive concerns.Revista da Associacao Medica Brasileira (1992) · 2025Article
- Frailty Index-laboratory and lymphocyte subset patterns in predicting 28-day mortality among elderly sepsis patients: a multicenter observational cohort study.Frontiers in immunology · 2025Observational
- Bioinformatics-based screening and validation of ferroptosis-related genes in sepsis and type 2 diabetes mellitus.Experimental biology and medicine (Maywood, N.J.) · 2025Article
- Global, regional, and national burden of cardiovascular disease attributable to high body mass index from 1990 to 2021 and projection to 2045.Frontiers in endocrinology · 2025Article
- Correction: Single-cell landscape of immunological responses in elderly patients with sepsis.Immunity & ageing : I & A · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sepsis is a dysregulated host response to severe infections, and immune dysfunction plays a crucial role in its pathogenesis. Elderly patients, a special population influenced by immunosenescence, are more susceptible to sepsis and have a worse prognosis. However, the immunopathogenic mechanisms underlying sepsis in elderly patients remain unclear. Here, we performed single-cell RNA sequencing of peripheral blood samples from young and old subjects and patients with sepsis. By exploring the transcriptional profiles of immune cells, we analyzed immune cell compositions, phenotype shifts, expression heterogeneities, and intercellular communication. In elderly patients with sepsis, innate immune cells (e.g., monocytes and DCs) exhibit decreased antigen presentation, presenting an overactive inflammatory and senescent phenotype. However, the immunophenotype of T cells shifted to characterize effector, memory, and exhaustion. Moreover, we identified strong interferon-γ responses of T cells in both aging and sepsis groups and a deranged inflammaging status in elderly sepsis patients. Tregs in elderly patients with sepsis showed increased abundance and enhanced immunosuppressive effects. In addition, metabolism-associated pathways were upregulated in T cells in elderly patients with sepsis, and the lysine metabolism pathway was enriched in Tregs. Cell-cell interaction analysis showed that the expression profile of ligand-receptor pairs was probably associated with aggravated immune dysfunction in elderly patients with sepsis. A novel HLA-KIR interaction was observed between Tregs and CD8 + T cells. These findings illustrate the immunological hallmarks of sepsis in elderly patients, and highlight that immunosuppressive and metabolic regulatory pathways may undergo important alterations in elderly patients with sepsis.
Indexed as
Identifiers
What OpenQuestion holds
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.