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

Identification of key immune-related genes and immune infiltration in atrial fibrillation with valvular heart disease based on bioinformatics analysis

1 Mar 2021

Abstract excerpt

Background: Atrial fibrillation (AF) is the most common persistent arrhythmia. Valvular heart disease (VHD) and AF frequently coexist. In our study, from performing bioinformatics analysis, we sought to identify immune-related genes (IRGs) and explore the role of immune cell infiltration in AF-VHD in depth, aiming at investigating the potential molecular mechanism and developing new therapeutic targets for AF,...

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 Atrial Fibrillation Management and Outcomes
Share to Cardiac Fibrosis and Remodeling

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 33841968
DOI: 10.21037/jtd-21-168

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of key immune-related genes and immune infiltration in atrial fibrillation with valvular heart disease based on bioinformatics analysisPMID 33841968Read ↗

Comprehensive analysis of autophagy-related genes and patterns of immune cell infiltration in valvular atrial fibrillation.Semantic proximity Read ↗

Identification of key differentially expressed immune related genes in patients with persistent atrial fibrillation: an integrated bioinformation analysis.Semantic proximity Read ↗

Identification of potential novel biomarkers and therapeutic targets involved in human atrial fibrillation based on bioinformatics analysisSemantic proximity Read ↗

Exploring the pathogenesis and immune infiltration in dilated cardiomyopathy complicated with atrial fibrillation by bioinformatics analysisSemantic proximity Read ↗

Role of Necroptosis and Immune Infiltration in Atrial Fibrillation: Novel Insights Revealed by Integrated Computational Biology AnalysesSemantic proximity Read ↗

Uncovering potential novel biomarkers and immune infiltration characteristics in persistent atrial fibrillation using integrated bioinformatics analysisSemantic proximity Read ↗

Analysis of potential genetic biomarkers using machine learning methods and immune infiltration regulatory mechanisms underlying atrial fibrillationSemantic proximity Read ↗

Analysis of the Potential Role of Key Genes in Atrial Fibrillation Based on Bioinformatics ApproachSemantic proximity Read ↗

Potential Target Genes in the Development of Atrial Fibrillation: A Comprehensive Bioinformatics AnalysisSemantic proximity Read ↗

Bioinformatics analysis of immune-associated, chromatin-regulating genes as biomarkers of persistent atrial fibrillationSemantic proximity Read ↗

Analysis of Potential Genetic Biomarkers Using Machine Learning Methods and Immune Infiltration Regulatory Mechanisms Underlying Atrial Fibrillation Running Title: Identification of Biomarkers for Af via Machine LearningSemantic proximity Read ↗

A bioinformatics-based analysis of chromatin regulators in atrial fibrillation uncovers potential novel biomarkers and immune infiltration characteristicsSemantic proximity Read ↗

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