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

Transcriptome analysis combined with Mendelian randomization screening for biomarkers causally associated with diabetic retinopathy

3 Jul 2024

Abstract excerpt

Background Diabetic retinopathy (DR) is considered one of the most severe complications of diabetes mellitus, but its pathogenesis is still unclear. We hypothesize that certain genes exert a pivotal influence on the progression of DR. This study explored biomarkers for the diagnosis and treatment of DR through bioinformatics analysis. Methods Within the GSE221521 and GSE189005 datasets, candidate genes were...

Read the complete abstract on PubMed

Topics

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

Share to Atherosclerosis and Cardiovascular Diseases
Share to Ferroptosis and cancer prognosis
Share to Retinal Diseases and Treatments

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 39022342
DOI: 10.3389/fendo.2024.1410066

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Transcriptome analysis combined with Mendelian randomization screening for biomarkers causally associated with diabetic retinopathyPMID 39022342Read ↗

Potential Drug Targets for Diabetic Retinopathy Identified Through Mendelian Randomization Analysis.Semantic proximity Read ↗

Potential disease biomarkers for diabetic retinopathy identified through Mendelian randomization analysisSemantic proximity Read ↗

Novel High-Resolution Lipidomes Could Serve as New Biomarkers for Diabetic Retinopathy: A Bidirectional and Mediated Mendelian Randomization Study.Semantic proximity Read ↗

Transcriptome sequencing and Mendelian randomization analysis identified biomarkers related to neutrophil extracellular traps in diabetic retinopathySemantic proximity Read ↗

Multiomics Integration Prioritizes ZFP36L1 as a Candidate Susceptibility Gene Associated With Inflammatory and Angiogenic Pathways in Diabetic Retinopathy.Semantic proximity Read ↗

Causal Roles of Lipids and Mediating Proteins in Diabetic Retinopathy: Insights from Metabolomic and Proteomic Mendelian RandomizationSemantic proximity Read ↗

Susceptibility and protective genes in diabetic retinopathy: A comprehensive single-cell RNA sequencing analysis.Semantic proximity Read ↗

Causal Effects of Oxidative Stress on Diabetes Mellitus and Microvascular Complications: Insights Integrating Genome-Wide Mendelian Randomization, DNA Methylation, and ProteomeSemantic proximity Read ↗

Integration of multi-omics transcriptome-wide analysis for the identification of novel therapeutic drug targets in diabetic retinopathy.Semantic proximity Read ↗

Causal relationships between blood metabolites and diabetic retinopathy: a two-sample Mendelian randomization study.Semantic proximity Read ↗

Programmed cell death and risk of diabetic retinopathy: a Mendelian randomization study.Semantic proximity Read ↗

Identification of macrophage polarisation and mitochondria-related biomarkers in diabetic retinopathySemantic proximity Read ↗

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