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

Integrative analyses of biomarkers and pathways for diabetic nephropathy

11 Apr 2023

Abstract excerpt

Background: Diabetic nephropathy (DN) is a widespread diabetic complication and a major cause of terminal kidney disease. There is no doubt that DN is a chronic disease that imposes substantial health and economic burdens on the world’s populations. By now, several important and exciting advances have been made in research on etiopathogenesis. Therefore, the genetic mechanisms underlying these effects remain...

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 Ferroptosis and cancer prognosis
Share to Renal Diseases and Glomerulopathies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37113991
DOI: 10.3389/fgene.2023.1128136

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrative analyses of biomarkers and pathways for diabetic nephropathyPMID 37113991Read ↗

Identification of key biomarkers in diabetic nephropathy via bioinformatic analysisSemantic proximity Read ↗

Identifying C1QB, ITGAM, and ITGB2 as potential diagnostic candidate genes for diabetic nephropathy using bioinformatics analysisSemantic proximity Read ↗

The unique molecular mechanism of diabetic nephropathy: a bioinformatics analysis of over 250 microarray datasetsSemantic proximity Read ↗

Integrated bioinformatics analysis reveals novel key biomarkers in diabetic nephropathySemantic proximity Read ↗

Identification of tubulointerstitial genes and ceRNA networks involved in diabetic nephropathy via integrated bioinformatics approachesSemantic proximity Read ↗

Complement might be the Link between Diabetic Kidney Disease and Immunology: Identification of the Shared Gene Signatures and Molecular Mechanism in Diabetic Kidney Disease and Immune-Related Kidney DiseasesSemantic proximity Read ↗

Identification of Biomarkers Associated with Diagnosis of Diabetic Nephropathy Patients Based on Bioinformatics and Machine LearningSemantic proximity Read ↗

Key Genes Involved in Diabetic Nephropathy Investigated by Microarray AnalysisSemantic proximity Read ↗

Differential Analysis of Expressed Genes in Diabetic Nephropathy Based on Bioinformatics TechnologySemantic proximity Read ↗

Screening and identification of key biomarkers in diabetic kidney disease and its complications: Evidence from bioinformatics and next generation sequencing data analysisSemantic proximity Read ↗

Screening of the Key Genes and Signalling Pathways for Diabetic Nephropathy Using Bioinformatics AnalysisSemantic proximity Read ↗

Identification of key genes for diabetic kidney disease using biological informatics methods.Semantic proximity Read ↗

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