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使用他汀类药物的致糖尿病效应可能与2型糖尿病的多基因风险评分相互作用:来自英国生物银行的证据。

The Diabetogenic Effect of Statin Use May Interact With Polygenic Risk Scores for Type 2 Diabetes: Evidence From the UK Biobank.

作者信息

Park Jong Hyun, Lim Kyu-Taek, Lee Jooyeon, Gil Yongjin, Sung Joohon

机构信息

Department of Preventive Medicine, Graduate School of Public Health, Seoul National University, Seoul, Korea.

Institute of Health and Environment, Seoul National University, Seoul, Korea.

出版信息

J Prev Med Public Health. 2025 Jan;58(1):92-102. doi: 10.3961/jpmph.24.671. Epub 2024 Dec 11.

Abstract

OBJECTIVES

Statins are essential in the prevention of cardiovascular disease; however, their association with type 2 diabetes mellitus (T2DM) risk is concerning. We examined whether genetic susceptibility to T2DM modifies the association between regular statin use and T2DM risk.

METHODS

This study included 447 176 individuals from the UK Biobank without baseline diabetes or major cardiovascular disease. Statin use was recorded at baseline, and T2DM incidence was determined using clinical records. Polygenic risk scores (PRS) for T2DM risk were provided by the UK Biobank. Using propensity scores adjusted for age, sex, body mass index, and comorbidities, 14 831 statin users were matched with 37 060 non-users. Cox proportional hazards models were used to estimate the interaction effect of statin use and PRS on T2DM incidence, adjusting for key confounders.

RESULTS

In the propensity-matched cohort, 3675 of 51 891 participants developed T2DM over a mean follow-up period of 13.7 years. Within the top 5% of the PRS distribution, per 1000 person-years, the incidence of T2DM was 15.42 for statin users versus 12.18 for non-users. Among the lowest 5%, the incidence was 1.90 for statin users and 1.65 for non-users. Based on the Cox proportional hazards model, regular statin use was associated with a 1.24-fold increased T2DM risk (95% confidence interval [CI], 1.15 to 1.33). Furthermore, PRS exhibited a significant multiplicative interaction with regular statin use (odds ratio, 1.10; 95% CI, 1.02 to 1.19).

CONCLUSIONS

PRS may help identify individuals particularly susceptible to the diabetogenic effects of statins, providing a potential path for personalized cardiovascular disease management.

摘要

目的

他汀类药物对预防心血管疾病至关重要;然而,其与2型糖尿病(T2DM)风险的关联令人担忧。我们研究了T2DM的遗传易感性是否会改变常规使用他汀类药物与T2DM风险之间的关联。

方法

本研究纳入了英国生物银行的447176名无基线糖尿病或重大心血管疾病的个体。在基线时记录他汀类药物的使用情况,并通过临床记录确定T2DM的发病率。英国生物银行提供了T2DM风险的多基因风险评分(PRS)。使用根据年龄、性别、体重指数和合并症调整的倾向评分,将14831名他汀类药物使用者与37060名非使用者进行匹配。采用Cox比例风险模型估计他汀类药物使用和PRS对T2DM发病率的交互作用,并对关键混杂因素进行调整。

结果

在倾向匹配队列中,51891名参与者中有3675人在平均13.7年的随访期内发生了T2DM。在PRS分布的前5%中,每1000人年,他汀类药物使用者的T2DM发病率为15.42,而非使用者为12.18。在最低的5%中,他汀类药物使用者的发病率为1.90,非使用者为1.65。根据Cox比例风险模型,常规使用他汀类药物与T2DM风险增加1.24倍相关(95%置信区间[CI],1.15至1.33)。此外,PRS与常规使用他汀类药物表现出显著的相乘交互作用(优势比,1.10;95%CI,1.02至1.19)。

结论

PRS可能有助于识别特别易受他汀类药物致糖尿病作用影响的个体,为个性化心血管疾病管理提供了一条潜在途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3cd/11824632/ab98dc0f0aa4/jpmph-24-671f1.jpg

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