Discover Community Create You

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

Novel biomarkers related to oxidative stress and immunity in chronic kidney disease

1 Mar 2024

Abstract excerpt

Introduction: The incidence of chronic kidney disease (CKD) has been increasing in recent years, gradually becoming a global health crisis. Due to limited treatment options, novel molecular pathways are urgently required to advance the treatment and diagnosis of CKD. Materials and methods: The characteristics of differentially expressed genes (DEGs) in CKD patients were analyzed using Gene Expression Omnibus...

Read the complete abstract on PubMed

Topics

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

Share to Chronic Kidney Disease and Diabetes
Share to Dialysis and Renal Disease Management
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38515668
DOI: 10.1016/j.heliyon.2024.e27754

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Novel biomarkers related to oxidative stress and immunity in chronic kidney diseasePMID 38515668Read ↗

Identifying effective diagnostic biomarkers and immune infiltration features in chronic kidney disease by bioinformatics and validationSemantic proximity Read ↗

Integrated Profiling Identifies Key Molecule Drivers as Diagnostic Biomarkers and Therapeutic Targets in Acute Kidney InjurySemantic proximity Read ↗

Characterizing hub biomarkers for post-transplant renal fibrosis and unveiling their immunological functions through RNA sequencing and advanced machine learning techniquesSemantic proximity Read ↗

GPX3 and GSTT1 as biomarkers related to oxidative stress during renal ischemia reperfusion injuries and their relationship with immune infiltrationSemantic proximity Read ↗

Screening for potential biological markers of chronic kidney disease based on WGCNA and machine learningSemantic proximity Read ↗

Identification and validation of two hub genes involved in membranous nephropathy based on machine learningSemantic proximity Read ↗

Identification of Hub Genes and Potential ceRNA Networks of Diabetic Nephropathy by Weighted Gene Co-Expression Network AnalysisSemantic proximity Read ↗

Identification of ferroptosis-related genes in patients with renal ischemia-reperfusion injurySemantic proximity Read ↗

Integrative Bioinformatics Analysis Provides Insight into the Molecular Mechanisms of Chronic Kidney DiseaseSemantic proximity Read ↗

Identification and validation of hub genes in drug induced acute kidney injury basing on integrated transcriptomic analysisSemantic proximity Read ↗

Identification of immune microenvironment and PANoptosis-related biomarkers in diabetic kidney disease: PSMB8 and PSMB9Semantic proximity Read ↗

Identification of driver genes in lupus nephritis based on comprehensive bioinformatics and machine learningSemantic proximity Read ↗

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