Exploring the prediction model and core genes for coronary artery disease in non-obese steatotic liver disease patients
We found a close correlation between non-obese SLD and CAD. Our study developed a novel diagnostic model to predict CAD in non-obese SLD patients with promising predictive performance. In addition, through comprehensive bioinformatics analysis and machine learning algorithms, two key core genes, HNF4A and LTBP4, were identified to be associated with both non-obese SLD and CAD.
Authors
- Shuanglin Han
- Xiaoyun Gao
- Pujun Gao (ORCID: https://orcid.org/0000-0003-0178-6220)
- Mei Han
- Yue Zhang
- Xiangjian Song
Institutions
- Jilin University (CN)
- Second Affiliated Hospital of Dalian Medical University (CN)
- First Hospital of Jilin University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2026-02-09
- DOI
- https://doi.org/10.3389/fmed.2026.1709412
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Chinese Academy of Sciences
- People's Government of Jilin Province
- Dalian Medical University
- Dalian Institute of Chemical Physics