open access publication

Article, 2024

Evaluation of Toll-like Receptor 4 (TLR4) Involvement in Human Atrial Fibrillation: A Computational Study

Genes, ISSN 2073-4425, Volume 15, 5, 10.3390/genes15050634

Contributors

Fagone P. 0000-0002-6694-1992 (Corresponding author) [1] Mangano K. 0000-0001-5920-4620 [1] Basile M.S. 0000-0002-4811-4694 [2] Munoz-Valle J.F. 0000-0002-2272-9260 [3] Perciavalle V. [2] Nicoletti F. 0000-0002-4570-8462 [1] Bendtzen K. [4]

Affiliations

  1. [1] Sezione INFN
  2. [NORA names: Italy; Europe, EU; OECD];
  3. [2] Kore University of Enna
  4. [NORA names: Italy; Europe, EU; OECD];
  5. [3] Universidad de Guadalajara
  6. [NORA names: Mexico; America, Central; OECD];
  7. [4] Institute for Inflammation Research
  8. [NORA names: Capital Region of Denmark; Hospital; Denmark; Europe, EU; Nordic; OECD]

Abstract

In the present study, we have explored the involvement of Toll-like Receptor 4 (TLR4) in atrial fibrillation (AF), by using a meta-analysis of publicly available human transcriptomic data. The meta-analysis revealed 565 upregulated and 267 downregulated differentially expressed genes associated with AF. Pathway enrichment analysis highlighted a significant overrepresentation in immune-related pathways for the upregulated genes. A significant overlap between AF differentially expressed genes and TLR4-modulated genes was also identified, suggesting the potential role of TLR4 in AF-related transcriptional changes. Additionally, the analysis of other Toll-like receptors (TLRs) revealed a significant association with TLR2 and TLR3 in AF-related gene expression patterns. The examination of MYD88 and TICAM1, genes associated with TLR4 signalling pathways, indicated a significant yet nonspecific enrichment of AF differentially expressed genes. In summary, this study offers novel insights into the molecular aspects of AF, suggesting a pathophysiological role of TLR4 and other TLRs. By targeting these specific receptors, new treatments might be designed to better manage AF, offering hope for improved outcomes in affected patients.

Keywords

TLR4, Toll-like receptors, atrial fibrillation, computational study

Data Provider: Elsevier