解析素 D1 和 D2 对 2 型糖尿病发病风险的影响：一项基于中国社区的队列研究。
Influences of resolvin D1 and D2 on the risk of type 2 diabetes mellitus: a Chinese community-based cohort study.
机构信息
Department of Epidemiology and Statistics, School of Public Health, Medical College of Soochow University, Soochow, Jiangsu, China.
Division of Non-communicable Diseases, Suzhou Industrial Park Centers for Disease Control and Prevention, Soochow, China.
出版信息
Front Immunol. 2023 Jun 2;14:1143456. doi: 10.3389/fimmu.2023.1143456. eCollection 2023.
BACKGROUND
Although cellular and animal studies have reported that resolvin D1 (RvD1) and resolvin D2 (RvD2) are mechanisms involved in the development of type 2 diabetes mellitus (T2DM), the impact of RvD1 and RvD2 on the risk of T2DM at a population level remains unclear.
METHODS
We included 2755 non-diabetic adults from a community-based cohort in China and followed them for seven years. Cox proportional hazards model was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association of RvD1 and RvD2 with T2DM probability. Time-dependent receiver operator characteristics (ROC) curve was used to evaluate the predictive performance of RvD1 and RvD2 for the risk of T2DM based on the Chinese CDC T2DM prediction model (CDRS).
RESULTS
A total of 172 incident T2DM cases were identified. Multivariate-adjusted HRs (95% CI) for T2DM across quartiles of RvD1 levels (Q1, Q2, Q3 and Q4) were 1.00, 1.64 (1.03-2.63), 1.80 (1.13-2.86) and 1.61 (1.01-2.57), respectively. Additionally, body mass index (BMI) showed a significant effect modification in the association of RvD1 with incident T2DM ( = 0.026). After multivariate adjustment, the HR (95% CI) for T2DM in the fourth compared with the first quartile of RvD2 was 1.94 (95% CI: 1.24-3.03). Time-dependent ROC analysis showed that the area under time-dependent ROC curves of the "CDRS+RvD1+RvD2" model for the 3-, 5- and 7-year risk of T2DM were 0.842, 0.835 and 0.828, respectively.
CONCLUSIONS
Higher RvD1 and RvD2 levels are associated with a higher risk of T2DM at the population level.
背景
尽管细胞和动物研究报告称，消退素 D1（RvD1）和消退素 D2（RvD2）是参与 2 型糖尿病（T2DM）发展的机制，但 RvD1 和 RvD2 对人群水平 T2DM 风险的影响尚不清楚。
方法
我们纳入了来自中国社区队列的 2755 名非糖尿病成年人，并对他们进行了七年的随访。使用 Cox 比例风险模型估计 RvD1 和 RvD2 与 T2DM 发生概率之间的关联的风险比（HR）和 95%置信区间（CI）。时间依赖性接受者操作特征（ROC）曲线用于评估 RvD1 和 RvD2 基于中国 CDC T2DM 预测模型（CDRS）对 T2DM 风险的预测性能。
结果
共确定了 172 例新发 T2DM 病例。RvD1 水平四分位区间（Q1、Q2、Q3 和 Q4）的 T2DM 多变量调整 HR（95%CI）分别为 1.00、1.64（1.03-2.63）、1.80（1.13-2.86）和 1.61（1.01-2.57）。此外，体重指数（BMI）在 RvD1 与新发 T2DM 之间的关联中表现出显著的效应修饰作用（ = 0.026）。经过多变量调整后，与 Q1 相比，Q4 的 RvD2 与 T2DM 的 HR（95%CI）为 1.94（95%CI：1.24-3.03）。时间依赖性 ROC 分析显示，“CDRS+RvD1+RvD2”模型对 T2DM 3 年、5 年和 7 年风险的时间依赖性 ROC 曲线下面积分别为 0.842、0.835 和 0.828。
结论
较高的 RvD1 和 RvD2 水平与人群水平 T2DM 风险升高相关。
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