Integrated bioinformatics and machine learning algorithms reveal the unfolded protein response pathways and immune infiltration in acute myocardial infarction
Our study highlights the importance of the UPR pathway in the pathogenesis of myocardial infarction, and identifies four genes <i>CEBPB</i>, <i>ATF3</i>, <i>EIF2S3</i>, and <i>TSPYL2</i> as diagnostic biomarkers for AMI, providing new ideas for the clinical diagnosis and treatment of AMI.
Authors
- Anshi Wu (ORCID: https://orcid.org/0000-0003-2353-2184)
- Zequn Niu (ORCID: https://orcid.org/0000-0003-2915-4575)
- Yi Sun (ORCID: https://orcid.org/0000-0002-5977-855X)
- Changwei Wei (ORCID: https://orcid.org/0000-0001-5652-600X)
- Zhenyu Yang (ORCID: https://orcid.org/0000-0002-0773-0298)
- Yang Bai (ORCID: https://orcid.org/0000-0003-2980-2595)
- Weidong Yan (ORCID: https://orcid.org/0000-0002-7289-1776)
Institutions
- Capital Medical University (CN)
- Beijing Chao-Yang Hospital, Capital Medical University (CN)
- University of Hong Kong - Shenzhen Hospital (CN)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2024-10-01
- DOI
- https://doi.org/10.21037/jtd-24-622
- Citations
- 1
- Primary Topic
- Atherosclerosis and Cardiovascular Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.24