Article

Integrative multi-omics analysis identifies RPL5 and IL1R1 as potential diagnostic and therapeutic targets of sepsis

2026-05-07

Abstract excerpt

<title>Abstract</title> <p> <bold>Background:</bold> Sepsis is a life-threatening condition characterized by dysregulated immune responses to infection. While advances in critical care have improved, sepsis-related mortality remains high, underscoring the urgent need for further research into therapeutic targets and potential candidate agents. <bold>Methods:</bold> We performed an integrative multi-omics anal...

Topics

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

Identifiers and source

Literature Corpus work: 17564a0b-f4e0-5df9-84ac-ead17cc86ea4
DOI: 10.21203/rs.3.rs-9624193/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Integrative multi-omics analysis identifies RPL5 and IL1R1 as potential diagnostic and therapeutic targets of sepsisDOI 10.21203/rs.3.rs-9624193/v1Read

Identification of a novel sepsis prognosis model and analysis of possible drug application prospects: Based on scRNA-seq and RNA-seq dataSemantic proximity Read

Identification and experimental validation of diagnostic and prognostic genes CX3CR1, PID1 and PTGDS in sepsis and ARDS using bulk and single-cell transcriptomic analysis and machine learningSemantic proximity Read

Development of a Prognostic Model for Sepsis Based on Gut Microbiota-Associated Genes and Identification of Potential TargetsSemantic proximity Read

IL-1R2 as a Precision Therapeutic Target in Sepsis: Molecular Insights into Immune RegulationSemantic proximity Read

exploring the molecular mechanism of sepsis comprehensively based on multi-omics analysisSemantic proximity Read

Identification of common core genes and pathways of sepsis and cancer by bioinformatics analysisSemantic proximity Read

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

Bioinformatics-based screening of sepsis biomarkersSemantic proximity Read

A Robust and Generalizable Immune-Related Signature for Sepsis DiagnosticsSemantic proximity Read

High-throughput RNA and Single-cell RNA Sequencing to Identify Sepsis associated Molecular Mechanisms and the Blood Immune Cell LandscapeSemantic proximity Read

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

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