基于数据的糖尿病前期表型分析揭示了中国成年人的异质心脏代谢风险
Xiaojing Jia1,2, Shuangyuan Wang1,2, Jinfeng Wang1,2
1Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Cardiovascular diabetology
|December 2, 2025
概括
糖尿病前期表现出多样化的代谢特征,可以更好地识别2型糖尿病和心血管疾病的高风险人群. 这有助于制定有针对性的预防策略,以获得更好的健康结果.
科学领域:
- 内分泌学 在内分泌学.
- 代谢综合征是代谢综合征的一种.
- 公共卫生 公共卫生
背景情况:
- 糖尿病前期是复杂而异质的,因此很难识别2型糖尿病 (T2D) 和相关并发症的高风险个体.
- 了解这些子组对于有效的预防和管理至关重要.
研究的目的:
- 在糖尿病前期人口中识别不同的表型亚组.
- 调查这些子组之间的关联和患2型糖尿病 (T2D),心血管疾病 (CVD) 和事件的风险.
主要方法:
- 在来自中国的大型队列 (79,000个人) 上使用软集群算法.
- 采用统一的多元近似和投影 (UMAP),图形集群和高斯混合模型来识别类型特征.
- 评估了T2D,CVD和事件的发生率,与已识别的表型概率相关.
主要成果:
- 确定了六种不同的表型特征,其中五种表现出显著的代谢特征.
- 个人资料显示出不同基线心脏代谢负担和未来疾病风险.
- "高血压"或"高脂质,肌素和肝酶"等特征的更高概率与T2D,心血管疾病和脏事件的风险增加有关.
- 纳入表型概率改善了疾病风险预测模型.
结论:
- 前糖尿病在现象上是异质的,需要精细的风险分层.
- 划出不同的代谢概况有助于制定糖尿病前期的精确预防策略.
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