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ORIGINAL RESEARCH article

Front. Cardiovasc. Med.
Sec. Atherosclerosis and Vascular Medicine
Volume 11 - 2024 | doi: 10.3389/fcvm.2024.1471633
This article is part of the Research Topic Immunity, Atherosclerosis and Cardiovascular Disease: An Interdisciplinary Approach to Cardiometabolic Health View all 3 articles

Identification of Key Genes in Gout and Atherosclerosis and Construction of Molecular Regulatory Networks

Provisionally accepted
Gong Qing Gong Qing Zujun Yuan Zujun Yuan *
  • Liangping District People's Hospital, Chongqing, Chile

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

    Background: Gout is a type of chronic inflammatory disease linked to the accumulation of monosodium urate crystals, leading to arthritis. Studies have shown that patients with gout are more likely to develop atherosclerosis, but the specific mechanisms involved remain unknown. The purpose of the research was to explore the key molecules and potential mechanisms between gout and atherosclerosis.Methods: Gene expression profiles for gout as well as atherosclerosis were obtained from the Gene Expression Omnibus (GEO) database, then differential analysis was utilized to identify common differentially expressed genes (DEGs) between the two diseases. The analysis of functional enrichment was conducted to investigate the biological processes that the DEGs might be involved in. The Cytoscape software was utilized to develop a protein-protein interaction (PPI) network as well as identify hub genes, while LASSO analysis was employed to select key genes. The TRRUST database was utilized to forecast transcription factors(TFs), and the miRTarBase database was utilized to forecast miRNAs.Four key genes, CCL3, TNF, CCR2, and CCR5, were identified. The receiver operating characteristic (ROC) curves showed that the areas under ROC curve (AUC) for these four key genes in both gout and atherosclerosis were greater than 0.9. The analysis of functional enrichment revealed that the DEGs were primarily involved in "regulation of T-cell activation," "chemokine signaling pathway," and other biological processes. The TRRUST prediction results indicated that RELA and NFKB1 are common regulatory transcription factors for CCR2, CCR5, CCL3, and TNF. The miRTarBase prediction results showed that hsa-miR-203a-3p is a common regulatory miRNA for TNF and CCR5.This study preliminarily explored the potential key molecules and mechanisms between gout and atherosclerosis. These findings provide new insights for further research into identifying potential biomarkers and clinical treatment strategies for these two diseases.

    Keywords: Gout, Atherosclerosis, regulatory network, Transcription Factors, miRNA

    Received: 28 Jul 2024; Accepted: 05 Nov 2024.

    Copyright: © 2024 Qing and Yuan. 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: Zujun Yuan, Liangping District People's Hospital, Chongqing, Chile

    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.