Frontiers in physiology

Ion Channels and Atrial Fibrillation: Mitochondrial Recycling as a Key Link

Updated

Abstract

Essence

Integrated transcriptomic and rat-model analyses suggest that BAX, MIF, and TLR4 may link , ion-channel changes, and immune remodeling in .

Evidence

This combined bioinformatics and preclinical study merged two AF gene-expression datasets, applied machine-learning models, and tested an acetylcholine-calcium chloride rat atrial tachyarrhythmia model, identifying BAX, GLUL, MIF, and TLR4 as hub genes and confirming increased BAX, MIF, and TLR4 expression with broad ion-channel and mitophagy gene downregulation in vivo.

Caveat

Because the findings come from dataset mining plus a 7-day rat remodeling model, they identify candidate mechanisms rather than establish that these genes causally drive human atrial fibrillation.

Simplified

Key numbers

1.37×
Increase in prevalence
Global prevalence increase from 1990 to 2021.
444
identified
Total number of in based on analysis.
4
identified
selected from machine learning models.

Key figures

FIGURE 1
Step-by-step process of analyzing genes related to and ion channels in
Frames the comprehensive approach used to identify key genes linking mitophagy and ion channels in atrial fibrillation
fphys-16-1687578-g001
  • Panel single
    Flowchart starting with merging AF datasets, followed by differential gene expression analysis, identification of mitophagy and -related genes, machine learning model development, experimental validation in rats, and multiple downstream analyses including and network construction
FIGURE 2
Gene expression differences and functional enrichment in datasets
Frames a clear contrast in gene expression and highlights enriched biological functions linked to atrial fibrillation
fphys-16-1687578-g002
  • Panels A and B
    of datasets GSE41177 and GSE79768 before and after merging, showing sample clustering by group (control vs AF)
  • Panel C
    Heatmap of gene expression levels before and after standardization of the merged dataset, displaying patterns across samples
  • Panel D
    illustrating (DEGs) with upregulated genes in blue and downregulated genes in red
  • Panels E to I
    Functional enrichment analyses of DEGs including biological processes (E), cellular components (F), molecular functions (G), (H), and (I)
FIGURE 3
vs control: - genes, their interactions, expression, functions, and immune cell infiltration
Highlights distinct gene expression and immune cell infiltration patterns linked to mitophagy-ion channel genes in AF samples
fphys-16-1687578-g003
  • Panel A
    Venn diagram identifying 9 AF-related mitophagy-ion channel genes () from overlapping gene sets
  • Panel B
    Protein-protein interaction network showing connections among the 9 AFRMICGs
  • Panel C
    Boxplot of expression levels of AFRMICGs comparing AF (red) and control (blue) groups
  • Panels D and E
    Bar and dot plots of pathway, biological process, cellular component, and molecular function enrichment for AFRMICGs
  • Panel F
    Stacked bar chart showing relative percentages of various immune cell types in control and AF samples
  • Panel G
    Boxplot comparing immune cell infiltration fractions between AF (red) and control (blue) groups; AF shows higher resting dendritic cells and neutrophils, lower follicular helper T cells, M2 macrophages, and activated dendritic cells
  • Panel H
    Heatmap of correlation between AFRMICG expression and immune cell types with significance levels indicated
FIGURE 4
Performance metrics of 65 machine learning models screening in
Highlights optimal machine learning model with highest and for identifying key genes in atrial fibrillation
fphys-16-1687578-g004
  • Panel single
    Heatmap of F1 scores, curves, and accuracy values for 65 machine learning models; model shows highest F1 scores and accuracy
FIGURE 5
Control vs model rats: heart electrical activity, tissue structure, collagen levels, gene and protein expression
Highlights increased collagen and elevated BAX protein expression in atrial tissue of model rats versus controls
fphys-16-1687578-g005
  • Panel A
    Electrocardiogram traces comparing control and model rats with acetylcholine-calcium chloride-induced
  • Panel B
    Hematoxylin-eosin staining of atrial tissue showing cell arrangement differences between control and model rats
  • Panel C
    Masson staining highlighting collagen fiber presence in control and model rat atrial tissue; model appears to have more collagen
  • Panel D
    Quantification of showing significantly higher collagen in model rats compared to controls
  • Panel E
    Sirius red staining of atrial tissue in control and model rats
  • Panel F
    Quantification of Sirius red staining area percentage indicating increased collagen in model rats
  • Panel G
    results showing relative expression levels of -related genes, -related genes, and ; model rats show upregulation or downregulation of specific genes compared to controls
  • Panel H
    Western blot images and quantification of BAX, TLR4, MIF, and GLUL protein expression; BAX, TLR4, and MIF proteins are increased in model rats
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Full Text

What this is

  • () is a prevalent arrhythmia linked to serious health complications.
  • This research investigates the relationship between and ion channels in .
  • Key findings include the identification of specific genes that may influence through immune cell modulation.

Essence

  • BAX, MIF, and TLR4 are identified as key genes linking and ion channel dysfunction in (). These genes appear to influence the immune microenvironment by modulating immune cell infiltration.

Key takeaways

  • Nine -related ion channel genes (AFRMICGs) were identified, including BAX, MIF, and TLR4. These genes are associated with inflammation, immune response, and ion channel function.
  • Machine learning identified BAX, MIF, and TLR4 as Hub genes, suggesting their central role in pathogenesis. The glmBoost + Lasso model showed promising predictive performance.
  • Experimental validation in a rat model confirmed dysregulation of and ion channel-related genes, indicating significant myocardial changes associated with .

Caveats

  • The study's findings may be limited by the use of datasets from a single platform and population, potentially affecting generalizability. Further validation in diverse populations is needed.
  • Only male rats were used in experiments, which may overlook sex-dependent differences in mechanisms. Future research should include both genders.
  • The Ach-CaCl induction method can produce various atrial tachyarrhythmias, complicating the interpretation of results specific to .

Definitions

  • Mitophagy: A selective process that removes damaged mitochondria to maintain cellular health and function.
  • Atrial Fibrillation (AF): A common arrhythmia characterized by rapid and irregular heartbeats, leading to increased risk of stroke and heart failure.

Simplified

Funding

Competing interests

No commercial or financial ties reported.
PubMed

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