Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Predictive gene expression signature diagnoses neonatal sepsis before clinical presentation

29 Oct 2024

Abstract excerpt

BACKGROUND: Neonatal sepsis is a deadly disease with non-specific clinical signs, delaying diagnosis and treatment. There remains a need for early biomarkers to facilitate timely intervention. Our objective was to identify neonatal sepsis gene expression biomarkers that could predict sepsis at birth, prior to clinical presentation. METHODS: Among 720 initially healthy full-term neonates in two hospitals (The...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Neonatal and Maternal Infections
Share to Preterm Birth and Chorioamnionitis
Share to Sepsis Diagnosis and Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 39472236
DOI: 10.1016/j.ebiom.2024.105411

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Predictive gene expression signature diagnoses neonatal sepsis before clinical presentationPMID 39472236Read ↗

Identification and validation of a novel four-gene diagnostic model for neonatal early-onset sepsis with bacterial infectionSemantic proximity Read ↗

Whole blood gene expression profiling of neonates with confirmed bacterial sepsisSemantic proximity Read ↗

Postnatal Age Is a Critical Determinant of the Neonatal Host Response to SepsisSemantic proximity Read ↗

Identification of key biomarkers in neonatal sepsis by integrated bioinformatics analysis and clinical validationSemantic proximity Read ↗

Identification and verification of feature biomarkers associated with immune cells in neonatal sepsisSemantic proximity Read ↗

Identification of Potential Early Diagnostic Biomarkers of SepsisSemantic proximity Read ↗

Serum Proteomics Profiling in Newborns: Differences Compared to Adults serum and new molecular panel for neonatal SepsisSemantic proximity Read ↗

Incidence, risk factors and outcomes for neonatal sepsis in The Gambia: Descriptive cohort analysis embedded in a randomised clinical trialSemantic proximity Read ↗

Rapid immune perturbations during sepsis and necrotising enterocolitis in preterm babiesSemantic proximity Read ↗

Investigating the Association Between Serum Biomarkers and Neonatal Sepsis in Newborns with Premature Rupture of Membranes: A Retrospective StudySemantic proximity Read ↗

Decoding the Deadly Dance: NETosis Genes Predict Neonatal Sepsis FateSemantic proximity Read ↗

Genome-Wide Expression Profiles in Very Low Birth Weight Infants With Neonatal SepsisSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.