ReviewImmunoTargets and therapy2025
Neutrophil Extracellular Traps in Sepsis and Sepsis-Related Organ Dysfunction.
Review in ImmunoTargets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- A multimodal predictive model incorporating transcriptomic-guided blood biomarkers and clinical variables for sepsis-associated acute kidney injury.Renal failure · 2026Article
- Article
- Beyond the Pump: Unravelling Immunometabolic Crosstalk and Organelle Dynamics in Sepsis-Induced Cardiomyopathy.Journal of cardiovascular translational research · 2026Article
- Protein Fragments: From Biomarkers to Therapeutic Targets-A Focus on α1-Antitrypsin-Derived Peptides.Mediators of inflammation · 2026Review
- Crosstalk between innate immune signaling pathways and integrated TLR, NLRP3 inflammasome, cGAS-STING, and NF-κB networks in sepsis.Frontiers in cell and developmental biology · 2026Review
- mFrontiers in immunology · 2026Review
- Neutrophil extracellular traps in pregnancy complications.Frontiers in immunology · 2026Review
- Vitamin B1 and sepsis: a prospective single-center study.Frontiers in nutrition · 2026Article
- Neutrophil immunometabolism in ACLF and sepsis: mechanisms, dysfunction, and therapeutic opportunities.Frontiers in immunology · 2026Review
- Neutrophil extracellular traps contribute significantly to vascular dysfunction in sepsis.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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sepsis is a systemic inflammatory response triggered by infection, which can result in multiple organ dysfunctions, including disseminated intravascular coagulation (DIC) and acute lung injury (ALI), ultimately leading to patient mortality. The pathophysiology of sepsis is intricate, involving excessive immune activation, cytokine storms, endothelial damage, and microcirculatory dysfunction. Dysregulated host responses frequently give rise to severe complications, markedly elevating mortality rates. Neutrophil extracellular traps (NETs) are web-like structures consisting of DNA, histones, and granular proteins, released by neutrophils upon activation. Ongoing research into NETs has uncovered their significant pathophysiological roles in clinical conditions, including sepsis. This review outlines the mechanisms of NET formation, release, classification, detection methods, and relevant biomarkers. Additionally, it delves into the signaling pathways involved in NET generation, their pathophysiological implications in sepsis and its complications, and evaluates their potential utility in clinical laboratory diagnostics.
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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.