Article

Dissecting the Role of NETosis-Related Biomarkers in Sepsis: An Integrated Multi-Dataset Analysis for Diagnostic and Prognostic Applications

2024-04-11

Abstract excerpt

1.Abstract: Sepsis, a systemic and life-threatening response to infection, presents complex challenges in clinical management and prognosis due to its intricate pathophysiology. The formation of Neutrophil Extracellular Traps (NETs) through a process known as NETosis has been identified as a significant contributor to the development of sepsis. This study aimed to dissect the roles of NETosis-related genes, partic...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4c121dab-4a42-5cb0-9d95-ce383b431231
DOI: 10.21203/rs.3.rs-4229642/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Dissecting the Role of NETosis-Related Biomarkers in Sepsis: An Integrated Multi-Dataset Analysis for Diagnostic and Prognostic ApplicationsDOI 10.21203/rs.3.rs-4229642/v1Read

Critical roles of S100A12, MMP9, and PRTN3 in sepsis diagnosis: Insights from multiple microarray data analysesSemantic proximity Read

Predicting the prognosis in patients with sepsis by a pyroptosis-related gene signatureSemantic proximity Read

Transcriptome Meta-Analysis Deciphers a Dysregulation in Immune Response-Associated Gene Signatures during SepsisSemantic proximity Read

A machine learning-based approach to prognostic model of sepsis with PANoptosis-related genes and performance of scRNA-seq data to assess prognostic signaturesSemantic proximity Read

A Meta-Analysis of Whole Blood Transcriptome Reveals Association of Increased Neutrophil Activity and T cell Suppression in SepsisSemantic proximity Read

Identification of potential diagnostic and prognostic biomarkers for sepsis based on machine learningSemantic proximity Read

Novel neutrophil subsets associated with sepsis, vascular dysfunction and metabolic alterations identified using systems immunologySemantic proximity Read

Identification of Immune-Related Key Genes as Potential Diagnostic Biomarkers of Sepsis in ChildrenSemantic proximity Read

Revealing novel pyroptosis-related therapeutic targets for sepsis based on machine learningSemantic proximity Read

Revealing the novel pyroptosis-related therapeutic targets for sepsis based on the machine learningSemantic proximity Read

Machine learning-based identification of CYBB and FCAR as potential neutrophil extracellular trap-related treatment targets in sepsisSemantic proximity Read