Article

Investigate biomarkers and regulatory mechanisms related to RNA modification in diabetic nephropathy through bioinformatics and clinical experiments

2026-01-23

Abstract excerpt

<title>Abstract</title> <p>In recent years, RNA modifications have demonstrated significant potential in diagnosing and treating diabetic nephropathy (DN). This research utilized bioinformatics techniques to investigate the biomarkers associated between DN and RNA modifications, offering fresh perspectives on the diagnosis and treatment of DN. Candidate genes were acquired via differential expression analysis and...

Topics

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

Identifiers and source

Literature Corpus work: 83662785-62a9-50f7-af37-31092afa3e15
DOI: 10.21203/rs.3.rs-8583738/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Investigate biomarkers and regulatory mechanisms related to RNA modification in diabetic nephropathy through bioinformatics and clinical experimentsDOI 10.21203/rs.3.rs-8583738/v1Read

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

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

Integrative analyses of biomarkers and pathways for 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 Biomarkers Associated with Diagnosis of Diabetic Nephropathy Patients Based on Bioinformatics and Machine LearningSemantic proximity Read

Systems biology and machine learning approaches identify drug targets in diabetic nephropathySemantic proximity Read

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

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

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

Identification of diagnostic biomarkers for diabetes nephropathy by multi-chip integrated bioinformatics combining machine-learning strategies and mendelian randomizationSemantic proximity Read

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

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