ReviewFrontiers of medicine2014
Sepsis biomarkers: an omics perspective.
Review in Frontiers of medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Predictive enrichment using biomarkers in studies of critically-ill patients with sepsis: a systematic review.Critical care (London, England) · 2025Pooled it
- Prediction of sepsis mortality using metabolite biomarkers in the blood: a meta-analysis of death-related pathways and prospective validation.BMC medicine · 2020Pooled it
- Integrative metabolite-protein interaction networks reveal potential pathways and biomarkers in sepsis.BMC infectious diseases · 2026Article
- Early biomarkers for predicting sepsis-induced shock: insights from inflammatory pathways and immune response.Frontiers in pharmacology · 2026Review
- Exploring proteomic signatures in sepsis and non-infectious systemic inflammatory response syndrome.PloS one · 2026Observational
- Multi-omics advances in sepsis-associated encephalopathy: from pathogenesis to clinical translation.Frontiers in immunology · 2026Review
- A 2004-2025 Bibliometric Study of Genetic Variation and Multiomics Biomarkers in Sepsis Based on 940 Publications.Human mutation · 2026Review
- Metabolic Reprogramming and Immune Metabolism in Sepsis: Targeting the PPAR Pathway for Personalized Therapeutic Approaches.PPAR research · 2026Review
- HMGB1 and metabolic pathways in Acinetobacter baumannii pneumonia: an associative study.BMC infectious diseases · 2025Article
- Differential protein expression and enriched pathways in pediatric sepsis: identification of novel brain-associated biomarkers revealed through proteomic profiling.Molecular medicine (Cambridge, Mass.) · 2025Article
- Plasma proteomics in pediatric patients with sepsis- hopes and challenges.Clinical proteomics · 2025Review
- Advances in metabolomics in critically ill patients with sepsis and septic shock.Clinical and experimental emergency medicine · 2025Article
- A Mortality Risk Prediction Model for Septic Shock in Patients Aged ≥50: Role of Norepinephrine Index and Procalcitonin.International journal of general medicine · 2025Article
- Sepsis, Management & Advances in Metabolomics.Nanotheranostics · 2024Review
- Harnessing artificial intelligence in sepsis care: advances in early detection, personalized treatment, and real-time monitoring.Frontiers in medicine · 2024Review
- Biomarkers in sepsis-looking for the Holy Grail or chasing a mirage!World journal of critical care medicine · 2023Review
- Metabolomics: An emerging potential approach to decipher critical illnesses.Biophysical chemistry · 2020Review
- Exploring plasma metabolomic changes in sepsis: a clinical matching study based on gas chromatography-mass spectrometry.Annals of translational medicine · 2020Article
- Elevated serum levels of bone sialoprotein during ICU treatment predict long-term mortality in critically ill patients.Scientific reports · 2018Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sepsis is a common cause of death in hospitalized patients worldwide. The early detection of sepsis remains a great challenge for clinicians, and delayed diagnosis frequently undermines treatment efforts, thereby contributing to high mortality. Omics technologies allow high-throughput screening of sepsis biomarkers. This review describes currently available and novel sepsis biomarkers in the context of genomics, transcriptomics, proteomics, and metabolomics. The combination of these technologies can help refine the diagnosis of sepsis. This review paper serves as a reference for future studies that employ an integrated, multi-omics approach to disease identification.
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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.