| Title: | Phenotypic heterogeneity of type 2 diabetes and risks of all-cause and cause-specific mortality |
| Journal: | Cell Reports Medicine |
| Published: | 19 Sep 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40975065/ |
| DOI: | https://doi.org/10.1016/j.xcrm.2025.102367 |
Publication 19459
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Abstract
Type 2 diabetes (T2D) is a heterogeneous condition, but its phenotypic variation and links with mortality are unclear. We apply the discriminative dimensionality reduction with trees (DDRTree) algorithm to seven clinical variables in 10,091 adults with newly diagnosed T2D from a nationally representative Chinese cohort. Distinct mortality patterns are observed across phenotypes. Cardiovascular mortality is highest in the most hypertensive and obese individuals, while diabetic ketoacidosis/coma mortality is largely driven by the combination of hyperglycemia and dyslipidemia. Additionally, chronic obstructive pulmonary disease mortality is higher in those with elevated high-density lipoprotein (HDL) and total cholesterol levels. These patterns are similar in UK Biobank, though cardiovascular mortality is highest in those with dyslipidemia and obesity. Predictive models incorporating these variables show good performance and an online tool is provided for individual risk prediction. Overall, this study visualizes phenotypic variation in T2D and its impact on mortality, underscoring the need for personalized treatment strategies.</p>
13 Keywords
- Adult
- Aged
- Cardiovascular Diseases
- Cause of Death
- Cohort Studies
- Diabetes Mellitus, Type 2
- Dyslipidemias
- Female
- Humans
- Male
- Middle Aged
- Phenotype
- Risk Factors
14 Authors
- Zixin Qiu
- Frank Qian
- Jun Liu
- Rui Li
- Hancheng Yu
- Yue Wang
- Xiao Zhang
- Tingting Geng
- Xuefeng Yu
- Oscar H. Franco
- An Pan
- Maigeng Zhou
- Kai Huang
- Gang Liu
1 Application
| Application ID | Title |
|---|---|
| 109546 | Associations of environmental and genetic factors with the risks of incidence and progression of cardiometabolic diseases |
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