Prediction of Weight Loss and Regain Based on Multiomic and Phenotypic Features: Results From a Calorie-Restricted Feeding Trial
Baseline multiomic and phenotypic data effectively predict weight and body composition loss and regain, offering insights for personalized weight management.
Authors
- Kun Xu (ORCID: https://orcid.org/0000-0003-2773-789X)
- Yunfei Liao (ORCID: https://orcid.org/0000-0003-0688-775X)
- Gang Liu (ORCID: https://orcid.org/0000-0002-1430-3016)
- Ruyi Li (ORCID: https://orcid.org/0000-0003-0723-1306)
- An Pan
- Zixin Qiu (ORCID: https://orcid.org/0000-0001-6589-8454)
- Tingting Geng (ORCID: https://orcid.org/0000-0003-2309-7637)
- Tianyu Guo (ORCID: https://orcid.org/0000-0001-5703-7064)
- Kai Zhu (ORCID: https://orcid.org/0000-0001-9138-0878)
- Jingjin Che (ORCID: https://orcid.org/0000-0002-7305-6297)
- Lin Li (ORCID: https://orcid.org/0000-0003-0426-6546)
- Shiyu Zhao (ORCID: https://orcid.org/0000-0002-4946-6034)
- Rui Li (ORCID: https://orcid.org/0009-0009-8136-4159)
Institutions
- Union Hospital (HK)
- Wuhan Union Hospital (CN)
- Tongji Hospital (CN)
- Union Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Diabetes Care
- Published
- 2025-06-30
- DOI
- https://doi.org/10.2337/dc25-0728
- Citations
- 2
- Primary Topic
- Diet and metabolism studies
- Type
- article
- Field-Weighted Citation Impact
- 2.33
Funders
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities