SynthesisPloS one2018
The immunosuppressive face of sepsis early on intensive care unit-A large-scale microarray meta-analysis.
Synthesis in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- A bibliometric and visual analysis of research trends and hotspots in sepsis-related immunosuppression (2005-2025).Frontiers in pharmacology · 2026Pooled it
- Sepsis endotypes identified by host gene expression across global cohorts.Communications medicine · 2024Article
- Gene expression signatures in blood from a West African sepsis cohort define host response phenotypes.Nature communications · 2024Article
- Landscape of co-expressed genes between the myocardium and blood in sepsis and ceRNA network construction: a bioinformatic approach.Scientific reports · 2023Article
- Microvesicle-Mediated Transfer of DNA Methyltransferase Proteins Results in Recipient Cell Immunosuppression.The Journal of surgical research · 2023Article
- Fast Track Diagnostic Tools for Clinical Management of Sepsis: Paradigm Shift from Conventional to Advanced Methods.Diagnostics (Basel, Switzerland) · 2023Review
- IL-1R2-based biomarker models predict melioidosis mortality independent of clinical data.Frontiers in medicine · 2023Article
- The 'analysis of gene expression and biomarkers for point-of-care decision support in Sepsis' study; temporal clinical parameter analysis and validation of early diagnostic biomarker signatures for severe inflammation andsepsis-SIRS discrimination.Frontiers in immunology · 2023Article
- Early Biomarker Signatures in Surgical Sepsis.The Journal of surgical research · 2022Article
- The landscape of isoform switches in sepsis: a multicenter cohort study.Scientific reports · 2022Article
- Article
- Key Signature Genes of Early Terminal Granulocytic Differentiation Distinguish Sepsis From Systemic Inflammatory Response Syndrome on Intensive Care Unit Admission.Frontiers in immunology · 2022Article
- Exploration of the Shared Gene Signatures between Myocardium and Blood in Sepsis: Evidence from Bioinformatics Analysis.BioMed research international · 2022Article
- Comparison of machine-learning methodologies for accurate diagnosis of sepsis using microarray gene expression data.PloS one · 2021Article
- Extracellular Lactate Acts as a Metabolic Checkpoint and Shapes Monocyte Function Time Dependently.Frontiers in immunology · 2021Article
- Postoperative abdominal sepsis induces selective and persistent changes in CTCF binding within the MHC-II region of human monocytes.PloS one · 2021Article
- Definition of erythroid cell-positive blood transcriptome phenotypes associated with severe respiratory syncytial virus infection.Clinical and translational medicine · 2020Article
- Deep learning-based clustering robustly identified two classes of sepsis with both prognostic and predictive values.EBioMedicine · 2020Article
- An immune-cell signature of bacterial sepsis.Nature medicine · 2020Article
- Development of a Bioinformatics Framework for Identification and Validation of Genomic Biomarkers and Key Immunopathology Processes and Controllers in Infectious and Non-infectious Severe Inflammatory Response Syndrome.Frontiers in immunology · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSepsis is defined as a life-threatening condition, resulting from a dysregulated and harmful response of the hosts' immune system to infection. Apart from this, the (over-)compensating mechanisms counterbalancing the inflammatory response have been proven to render the host susceptible to further infections and increase delayed mortality. Our study aimed to unravel the heterogeneity of immune response in early sepsis and to explain the biology behind it.
methodsA systematic search of public repositories yielded 949 microarray samples from patients with sepsis of different infectious origin and early after clinical manifestation. These were merged into a meta-expression set, and after applying sequential conservative bioinformatics filtering, an in-deep analysis of transcriptional heterogeneity, as well as a comparison to samples of healthy controls was performed.
resultsWe can identify two distinct clusters of patients (cluster 1: 655 subjects, cluster 2: 294 subjects) according to their global blood transcriptome. While both clusters exhibit only moderate differences in direct comparison, a comparison of both clusters individually to healthy controls yielded strong expression changes of genes involved in immune responses. Both comparisons found similar regulated genes, with a stronger dysregulation occurring in the larger patient cluster and implicating a loss of monocyte and T cell function, co-occurring with an activation of neutrophil granulocytes.
conclusionWe propose a consistent-but in its extent varying-presence of immunosuppression, occurring as early in sepsis as its clinical manifestation and irrespective of the infectious origin. While certain cell types possess contradictory activation states, our finding underlines the urgent need for an early host-directed therapy of sepsis side-by-side with antibiotics.
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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.