Analysis of potential genetic biomarkers using machine learning methods and immune infiltration regulatory mechanisms underlying atrial fibrillation

LD Wu, F Li, JY Chen, J Zhang, LL Qian… - BMC Medical …, 2022 - Springer
Objective We aimed to screen out biomarkers for atrial fibrillation (AF) based on machine
learning methods and evaluate the degree of immune infiltration in AF patients in detail …

Integrative identification of immune-related key genes in atrial fibrillation using weighted gene coexpression network analysis and machine learning

PF Zheng, LZ Chen, P Liu, ZY Liu… - Frontiers in …, 2022 - frontiersin.org
Background The immune system significantly participates in the pathologic process of atrial
fibrillation (AF). However, the molecular mechanisms underlying this participation are not …

[HTML][HTML] Screening of atrial fibrillation diagnostic markers based on a GEO database chip and bioinformatics analysis

B Wei, X Huang, Y Lu, D Xie, G Wei… - Journal of thoracic …, 2022 - ncbi.nlm.nih.gov
Background Study have shown that atrial fibrillation (AF) is a disease with genetic risk, and
its pathogenesis is still unclear. This study sought to screen the gene microarray data of AF …

Identification of potential crucial genes in atrial fibrillation: a bioinformatic analysis

J Zhang, X Huang, X Wang, Y Gao, L Liu, Z Li… - BMC medical …, 2020 - Springer
Background Atrial fibrillation (AF) is at least partially heritable, affecting 2–3% of the
population in Europe and the USA. However, a substantial proportion of heritability is still …

Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular …

Y Liu, F Bai, Z Tang, N Liu, Q Liu - BMC Cardiovascular Disorders, 2021 - Springer
Background Atrial fibrillation (AF) is the most common arrhythmia with poorly understood
mechanisms. We aimed to investigate the biological mechanism of AF and to discover …

Identification of differentially expressed genes and pathways in human atrial fibrillation by bioinformatics analysis

D Pan, Y Zhou, S Xiao, Y Hu, C Huan… - … Journal of General …, 2022 - Taylor & Francis
Introduction Atrial fibrillation (AF) is the most prevalent sustained cardiac arrhythmia, but the
molecular mechanisms underlying AF are not known. We aimed to identify the pivotal genes …

[HTML][HTML] Immune infiltration and immunophenotyping in atrial fibrillation

Y Tian, S Liu, Y Zhang, J Yang, P Guo, H Zhang… - Aging (Albany …, 2023 - ncbi.nlm.nih.gov
Atrial fibrillation (AF) is a relatively common arrhythmia in clinical practice. Although
significant progress has been achieved in the treatment of AF and its associated …

[PDF][PDF] Identification of potential novel biomarkers and therapeutic targets involved in human atrial fibrillation based on bioinformatics analysis

G Fan, J Wei - Kardiologia Polska (Polish Heart Journal), 2020 - journals.viamedica.pl
Background: Atrial fibrillation (AF) is the most common arrhythmia. However, exact
molecular mechanism of AF remains unclear. Aims: Our study aimed to identify underlying …

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

S Li, Z Jiang, X Chao, C Jiang… - Journal of Thoracic …, 2021 - ncbi.nlm.nih.gov
Background Atrial fibrillation (AF) is the most common persistent arrhythmia. Valvular heart
disease (VHD) and AF frequently coexist. In our study, from performing bioinformatics …

[HTML][HTML] PILRA is associated with immune cells infiltration in atrial fibrillation based on bioinformatics and experiment validation

W Shi, X Li, Y Su, D Liu, L Wu, S Li, W He… - Frontiers in …, 2023 - frontiersin.org
Background and aims inflammation plays an important role in atrial fibrillation (AF). In this
study, we investigated the significance of immune cell infiltration in AF and identified the …