Heterogeneity in Phenotype and Early Metabolic Response to Lifestyle Interventions in Type 2 Diabetes in China Using a Tree-Like Representation
Deciphering the heterogeneity of diabetes is essential for prognosis prediction and treatment guidance, but current classifications are flawed because they lose continuous phenotypic information. We wanted to determine if the novel data reduction method, the data dimensionality reduction tree (DDRTree), is applicable to visualizing the phenotypic continuum, comorbid conditions, and lifestyle intervention effects in Chinese patients with type 2 diabetes. The DDRTree structure demonstrated the region-specific characteristics of type 2 diabetes. Diet intervention was more effective for glycemic control in the upper part of the tree, featuring moderate diabesity, whereas exercise intervention was more effective in the left side of the tree, featuring less adiposity and better overall metabolic status. The Chinese type 2 diabetes tree structure indicates individualized pathophysiology and guides the selection of lifestyle intervention.
Authors
- Yufang Bi (ORCID: https://orcid.org/0000-0002-4829-5915)
- Xiaoran Li (ORCID: https://orcid.org/0000-0003-3354-9078)
- Jieli Lu (ORCID: https://orcid.org/0000-0003-1317-0896)
- Yi Ding (ORCID: https://orcid.org/0000-0001-8901-5812)
- Qiuyu Cao (ORCID: https://orcid.org/0009-0006-0506-4574)
- Yu Xu (ORCID: https://orcid.org/0000-0003-1045-8309)
- Zhiyun Zhao (ORCID: https://orcid.org/0000-0001-5950-2732)
- Tiange Wang (ORCID: https://orcid.org/0000-0003-0723-489X)
- Guang Ning (ORCID: https://orcid.org/0000-0002-5754-7635)
- Wei‐Qing Wang (ORCID: https://orcid.org/0000-0003-0174-9905)
- Yan Liu (ORCID: https://orcid.org/0000-0003-0592-9030)
- Qi Zhou (ORCID: https://orcid.org/0000-0002-5697-2998)
- Mian Li (ORCID: https://orcid.org/0000-0001-6514-2729)
- Min Xu (ORCID: https://orcid.org/0000-0003-3930-8718)
- Xianglin Wu (ORCID: https://orcid.org/0009-0000-8032-5072)
- Yuhong Chen
- Youjin Jiang
- Jie Li (ORCID: https://orcid.org/0009-0001-8501-4561)
Institutions
- Shanghai Jiao Tong University (CN)
- National Health and Family Planning Commission (CN)
- Ruijin Hospital (CN)
- Shanxi Datong University (CN)
Publication Details
- Journal
- Diabetes
- Published
- 2025-09-04
- DOI
- https://doi.org/10.2337/db25-0197
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Science and Technology Commission of Shanghai Municipality