A plasma metabolome‐derived model predicts severe liver outcomes of nonalcoholic fatty liver disease in the <scp>UK</scp> Biobank
Integrating plasma metabolomics with routine indicators enhanced the predictive capacity for severe liver outcomes of NAFLD, which shows the potential benefits in disease risk stratification and precise interventions.
Authors
- Yanqi Fu (ORCID: https://orcid.org/0000-0001-5443-3969)
- Xiao Tan (ORCID: https://orcid.org/0000-0003-3992-5812)
- Jiang Li (ORCID: https://orcid.org/0009-0005-6253-618X)
- Ningjian Wang (ORCID: https://orcid.org/0000-0001-9591-6991)
- Yingli Lu (ORCID: https://orcid.org/0000-0002-5117-1614)
- Wenqi Shen (ORCID: https://orcid.org/0000-0001-5065-5361)
- Bin Wang (ORCID: https://orcid.org/0000-0002-4869-1352)
- Jie Li (ORCID: https://orcid.org/0009-0006-8674-1775)
- Xiaoqin Xu
Institutions
- Uppsala University (SE)
- National University of Singapore (SG)
- Shanghai Jiao Tong University (CN)
- Shanghai Ninth People's Hospital (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Diabetes Obesity and Metabolism
- Published
- 2025-06-11
- DOI
- https://doi.org/10.1111/dom.16533
- Citations
- 2
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.71
Funders
- National Natural Science Foundation of China
- Science and Technology Commission of Shanghai Municipality