Wang, Rongyanqi
Hao, Wenzhi
Sun, Yanqiu https://orcid.org/0009-0007-6618-0728
Liang, Bin
Xue, Feifei
Funding for this research was provided by:
National Natural Science Foundation of China (82074331)
Article History
Received: 24 June 2024
Accepted: 27 September 2024
First Online: 5 December 2024
Declarations
:
: The authors declare that they have no conflict of interest.
: Our study titled ‟Identification of Oxidative Stress-Related Genes in Hyperlipidemia Based on Bioinformatics Analysis” was conducted without involving any animal or human subjects. All data utilized in this research were sourced from publicly available datasets in the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database. The analysis was performed exclusively through bioinformatics methods, including differential expression analysis, gene ontology enrichment, and protein–protein interaction network construction. As such, ethical approval was not required for this study. We affirm that the research complies with ethical standards regarding data use and scientific integrity.
: Not applicable.