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

Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics Analysis

24 May 2021

Abstract excerpt

OBJECTIVES: Diabetic nephropathy (DN) is a major cause of end-stage renal disease (ESRD) throughout the world, and the identification of novel biomarkers via bioinformatics analysis could provide research foundation for future experimental verification and large-group cohort in DN models and patients. METHODS: GSE30528, GSE47183, and GSE104948 were downloaded from Gene Expression Omnibus (GEO) database to find...

Read the complete abstract on PubMed

Topics

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

Share to Angiogenesis and VEGF in Cancer
Share to Complement system in diseases
Share to Renal Diseases and Glomerulopathies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34124269
DOI: 10.1155/2021/5546199

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

Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics AnalysisPMID 34124269Read ↗

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 key biomarkers in diabetic nephropathy via bioinformatic analysisSemantic proximity Read ↗

Activation of complement C1q and C3 in glomeruli might accelerate the progression of diabetic nephropathy: Evidence from transcriptomic data and renal histopathologySemantic proximity Read ↗

Investigation of hub genes involved in diabetic nephropathy using biological informatics methodsSemantic proximity Read ↗

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

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

Integrative analyses of biomarkers and pathways for diabetic nephropathySemantic proximity Read ↗

Identification of Hub Genes in Diabetic Nephropathy by an Integrated Bioinformatic AnalysisSemantic proximity Read ↗

Identification of Hub Genes Associated With Clinical Characteristics and Potential Therapy of Diabetic Nephropathy by Bioinformatics Analysis.Semantic proximity Read ↗

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

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

Complement C3 as therapeutic target in diabetic nephropathy by bioinformatics analysisSemantic proximity Read ↗

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