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ORIGINAL RESEARCH article

Front. Cardiovasc. Med.

Sec. Cardiovascular Genetics and Systems Medicine

Volume 12 - 2025 | doi: 10.3389/fcvm.2025.1604939

This article is part of the Research TopicAdvancements in Congenital Heart Disease: Diagnosis and Management InnovationsView all 15 articles

The Analysis Reveals Novel Hub Genes and Pathways Associated with Tetralogy of Fallot

Provisionally accepted
Heling  WenHeling Wen1Zheng  HuangZheng Huang2Yujie  MaoYujie Mao1Wenjie  TianWenjie Tian1Lei  PengLei Peng1Yu  ChenYu Chen1*
  • 1Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
  • 2The Affiliated Tumor Hospital of Chengdu Medical College, Chengdu, Sichuan Province, China

The final, formatted version of the article will be published soon.

Background: Tetralogy of Fallot (TOF) is one of the most common complex congenital heart diseases, posing a severe threat to infant health. This study aims to investigate the core genes and pathways associated with TOF to identify potential targets for prevention and intervention. This study aims to explore the core genes and pathways associated with TOF, providing a reference for identifying potential targets for the prevention and intervention of this disease. Methods: Bulk and single-cell RNA-seq datasets were employed in this study. Differentially expressed genes (DEGs) were calculated, and functional enrichment analysis was performed. The expression of the hub genes was validated by quantitative real-time polymerase chain reaction (qRT-PCR). The dysregulated genes and pathways were further validated at the single-cell resolution. Results: The DEGs analyzed from two datasets, GSE146220 and GSE217772, were subjected to intersection analysis, resulting in 29 consistently upregulated genes (UpGs) and 22 consistently downregulated genes (DpGs). The qRT-PCR analysis confirmed that the expression of upregulated and downregulated genes was generally consistent with the results of the bioinformatics analysis. Functional enrichment analysis based on four distinct databases has shown that fatty-acid beta-oxidation and related pathways were consistently enriched. With snRNA-seq data, we found that the UpGs were enriched in cardiomyocytes, and the DpGs were enriched in cardiofibroblasts. Meanwhile, it was shown that the TOF tissue had a higher ssGSEA score for fatty acid metabolism-associated pathways. Notably, these fatty acid metabolism pathways were mostly enriched in cardiomyocytes. Conclusion: This study identified that TOF DEGs are highly enriched in fatty-acid beta-oxidation and related pathways. The snRNA-seq data of TOF showed that fatty acid metabolism pathways are predominantly enriched in cardiomyocytes. These findings contribute to further understanding the potential pathogenic mechanisms of TOF and identifying potential therapeutic targets.

Keywords: Bioinformatic analysis, TOF, GEO, Hub genes, Pathway

Received: 02 Apr 2025; Accepted: 20 Oct 2025.

Copyright: © 2025 Wen, Huang, Mao, Tian, Peng and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Yu Chen, polyb@163.com

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