Identification of growth differentiation factor 15 as an early predictive biomarker for metabolic dysfunction‐associated steatohepatitis: A nested case–control study of <scp>UK</scp> Biobank proteomic data
GDF15 at baseline levels outperformed other individual circulating protein biomarkers for the early prediction of MASH. Our data suggest that GDF15 and the GDF15-based model may be used as easy-to-implement tools to identify patients with high risks of developing MASH at a mean lag time of over 10 years.
Authors
- Yameng Sun (ORCID: https://orcid.org/0000-0003-2981-9936)
- Yuanyuan Kong (ORCID: https://orcid.org/0000-0002-2586-1443)
- You‐Wen He
- Jidong Jia (ORCID: https://orcid.org/0000-0002-9407-8890)
- Hong You (ORCID: https://orcid.org/0000-0001-9409-1158)
- Hao Wang (ORCID: https://orcid.org/0000-0002-9131-0199)
- Cheng Huang (ORCID: https://orcid.org/0009-0006-9407-1097)
- Xiaoqian Xu (ORCID: https://orcid.org/0000-0001-9269-2283)
- Lichen Shi
Institutions
- Duke University (US)
- Capital Medical University (CN)
- National Clinical Research Center for Digestive Diseases (CN)
- Evidence Based Research (United States) (US)
- Beijing Friendship Hospital (CN)
Publication Details
- Journal
- Diabetes Obesity and Metabolism
- Published
- 2025-02-05
- DOI
- https://doi.org/10.1111/dom.16233
- Citations
- 1
- Primary Topic
- GDF15 and Related Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 1.67
Funders
- Capital Medical University
- Beijing Municipal Health Commission
- Beijing Municipal Administration of Hospitals
- National Key Research and Development Program of China