Construction and evaluation of a diagnostic model for metabolic dysfunction-associated steatotic liver disease based on advanced glycation end products and their receptors
Serum AGEs and esRAGE serve as non-invasive biomarkers for distinguishing MASLD patients. We developed and validated diagnostic models for MASLD, offering valuable tools to identify at-risk populations and improve prevention and treatment strategies.
Authors
- Nian Fu (ORCID: https://orcid.org/0000-0001-8616-453X)
- Xiaohua Xiao (ORCID: https://orcid.org/0000-0003-1526-882X)
- Cao Xiao (ORCID: https://orcid.org/0000-0002-3869-6942)
- Peipei Jiang (ORCID: https://orcid.org/0009-0003-9559-7144)
Institutions
- University of South China (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-03-28
- DOI
- https://doi.org/10.3389/fmed.2025.1539708
- Citations
- 1
- Primary Topic
- Advanced Glycation End Products research
- Type
- article
- Field-Weighted Citation Impact
- 1.32
Funders
- University of South China