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ORIGINAL RESEARCH article

Front. Cardiovasc. Med.
Sec. General Cardiovascular Medicine
Volume 11 - 2024 | doi: 10.3389/fcvm.2024.1401314

Amlexanox Reduces New-Onset Atrial Fibrillation Risk in Sepsis by Downregulating S100A12: A Mendelian Randomization Study

Provisionally accepted
Hang Yang Hang Yang 1Lin Feng Lin Feng 2Zhenjie Jiang Zhenjie Jiang 3Xiaodan Wu Xiaodan Wu 4*Kai Zeng Kai Zeng 3*
  • 1 Anesthesiology, Fujian Medical University, Fuzhou, China
  • 2 Hematology, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian Province, China
  • 3 Anesthesiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian Province, China
  • 4 Anesthesiology, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian Province, China

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

    Background: Sepsis is characterized by high morbidity and mortality rates, alongside limited therapeutic efficacy. Atrial fibrillation (AF), the most common arrhythmia, has been closely linked to sepsis in prior research. However, the specific mechanisms through which sepsis leads to new-onset AF remain poorly understood. This study focuses on identifying critical genes that are dysregulated in the development of new-onset AF within the context of sepsis, with the goal of uncovering new potential targets for its diagnosis and prevention. Material and methods: Our study began by applying Mendelian Randomization (MR) to assess the causal link between sepsis and AF. We then sourced sepsis and AF datasets from the Gene expression Omnibus (GEO) database. Using Weighted Gene Co-expression Network Analysis (WGCNA), we pinpointed key modules and genes associated with both sepsis and AF conditions.Protein-protein interaction (PPI) network was constructed. The Transcriptional Regulatory Relationships Unravelled by Sentence-based Text-mining (TRRUST) database helped build the transcription factor (TF) interaction network. Key genes were scrutinized through Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Insights from Bioinformatics Analysis and Experimental Validation

    Keywords: Sepsis, Atrial Fibrillation, S100A12, Amlexanox, Inflammation, Mendelian randomization

    Received: 15 Jun 2024; Accepted: 26 Sep 2024.

    Copyright: © 2024 Yang, Feng, Jiang, Wu and Zeng. 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:
    Xiaodan Wu, Anesthesiology, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian Province, China
    Kai Zeng, Anesthesiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.