Article

Identification of molecular diagnostic markers in sepsis-induced acute lung injury

2023-08-01

Abstract excerpt

<h4>Background: </h4> ： Sepsis-induced acute lung injury (ALI) is characterized by disruption of the epithelial barrier and activation of alveolar macrophages (AMs), which leads to uncontrolled pulmonary inflammation. However, effective treatments for ALI are unavailable. This study aimed to discover potential diagnostic molecular biomarkers based on bioinformatics, which will benefit the diagnosis and treatment o...

Topics

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

Identifiers and source

Literature Corpus work: d05ddca3-2379-5854-b0e6-d0d0262fb740
DOI: 10.20944/preprints202308.0067.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Identification of molecular diagnostic markers in sepsis-induced acute lung injuryDOI 10.20944/preprints202308.0067.v1Read

A Diagnostic Model for Sepsis-induced Acute Lung Injury Using a Consensus Machine Learning ApproachSemantic proximity Read

Network analysis identifies a gene biomarker panel for sepsis-induced acute respiratory distress syndromeSemantic proximity Read

Identification of biomarkers associated with coagulation and fibrinolysis in acute respiratory distress syndrome caused by sepsis based on bioinformaticsSemantic proximity Read

Screening of Sepsis Biomarkers Based on Bioinformatics Data AnalysisSemantic proximity Read

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

Bioinformatics analysis to screen for critical genes between survived and non‑survived patients with sepsisSemantic proximity Read

Bioinformatics and next generation data analysis reveals the potential role of inflammation in sepsis and its associated complicationsSemantic proximity Read

Identification of Potential Biomarkers and Immune Features of Sepsis Using Bioinformatics AnalysisSemantic proximity Read

Bioinformatics-based screening of sepsis biomarkersSemantic proximity Read

Bioinformatics Analysis for Multiple Gene Expression Profiles in SepsisSemantic proximity Read

Screening of Key Genes of Sepsis and Septic Shock Using Bioinformatics AnalysisSemantic proximity Read

A Five-Genes Based Diagnostic Signature for Sepsis-Induced ARDSSemantic proximity Read