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

FN1 and TGFBI are key biomarkers of macrophage immune injury in diabetic kidney disease

10 Nov 2023

Abstract excerpt

The pathogenesis of diabetic kidney disease (DKD) is complex, and the existing treatment methods cannot control disease progression well. Macrophages play an important role in the development of DKD. This study aimed to search for biomarkers involved in immune injury induced by macrophages in DKD. The GSE96804 dataset was downloaded and analyzed by the CIBERSORT algorithm to understand the differential...

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 cell carcinoma treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37960829
DOI: 10.1097/md.0000000000035794

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

FN1 and TGFBI are key biomarkers of macrophage immune injury in diabetic kidney diseasePMID 37960829Read ↗

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

Diabetic kidney disease‐predisposing proinflammatory and profibrotic genes identified by weighted gene co‐expression network analysis (WGCNA)Semantic proximity Read ↗

A comprehensive weighted gene co-expression network analysis uncovers potential targets in diabetic kidney diseaseSemantic proximity Read ↗

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

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

Screening of the Key Genes and Signalling Pathways for Diabetic Nephropathy Using Bioinformatics AnalysisSemantic 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 key biomarkers in diabetic nephropathy via bioinformatic analysisSemantic proximity Read ↗

Potential Biomarkers of Diabetic Kidney Disease Based on Weighted Gene Co-expression Network AnalysisSemantic proximity Read ↗

Identification of hub genes associated with accumulation of extracellular matrix as biomarkers of diabetic nephropathySemantic proximity Read ↗

Predicting diagnostic gene biomarkers in patients with diabetic kidney disease based on weighted gene co-expression network analysis and machine-learning algorithmsSemantic proximity Read ↗

Identification of metabolic reprogramming-related genes as potential diagnostic biomarkers for diabetic nephropathy based on bioinformaticsSemantic proximity Read ↗

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