Identifying disease progression biomarkers in metabolic associated steatotic liver disease (MASLD) through weighted gene co-expression network analysis and machine learning
This study highlights five key biomarkers as promising candidates for understanding MASLD. These findings offer new insights into the disease's pathophysiology and may contribute to the development of better diagnostic and therapeutic approaches.
Authors
- Chunhua Wan (ORCID: https://orcid.org/0000-0003-2896-0989)
- Yaqi Jiao
- Tianhao Li (ORCID: https://orcid.org/0000-0001-7496-9277)
- Weiliang Zhang (ORCID: https://orcid.org/0000-0002-7615-4597)
- Weirong Lu
- Haining Wang (ORCID: https://orcid.org/0000-0002-5281-6090)
Institutions
- Harbin Medical University (CN)
- Nantong University (CN)
- First Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1186/s12967-025-06490-7
- Citations
- 5
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 6.77
Funders
- National Natural Science Foundation of China
- Science and Technology Project of Nantong City