Identification and validation of apoptosis-related genes in acute myocardial infarction based on integrated bioinformatics methods
In this study, ARGs were screened by machine learning algorithms, and verified by qRT-PCR in the AMI mouse model. Finally, we demonstrated that CDKN1A, CD14 and IL1B were the crucial genes involved in apoptosis in AMI. These genes may provide new target for the recognition and intervention of apoptosis in AMI.
Authors
- Chenze Li
- Haoyan Zhu (ORCID: https://orcid.org/0009-0005-8535-1620)
- Xiaorong Hu (ORCID: https://orcid.org/0000-0002-5441-6648)
- Zhibing Lu (ORCID: https://orcid.org/0000-0002-7950-3465)
- Huanhuan Cai (ORCID: https://orcid.org/0000-0003-3426-8630)
- Jiahe Wu (ORCID: https://orcid.org/0000-0003-0080-6859)
- Wei Xiong (ORCID: https://orcid.org/0000-0002-3017-9895)
- Mengyao Li (ORCID: https://orcid.org/0000-0002-7054-448X)
- Liqiu Yan (ORCID: https://orcid.org/0009-0009-3936-1798)
Institutions
- Hebei Medical University (CN)
- Guangdong Medical College (CN)
- Wuhan University (CN)
- Cangzhou Central Hospital (CN)
- Songshan Lake Materials Laboratory (CN)
- Zhongnan Hospital of Wuhan University (CN)
Publication Details
- Journal
- PeerJ
- Published
- 2024-12-04
- DOI
- https://doi.org/10.7717/peerj.18591
- Citations
- 4
- Primary Topic
- MicroRNA in disease regulation
- Type
- article
- Field-Weighted Citation Impact
- 1.14
Funders
- National Natural Science Foundation of China