APOE Genotype and Statin Response: Evidence From the UK Biobank and All of Us Program

IF 2.8 3区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL
Innocent G. Asiimwe, Andrea L. Jorgensen, Munir Pirmohamed, the Multimorbidity Mechanism and Therapeutic Research Collaborative (MMTRC)
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引用次数: 0

Abstract

APOE genotype may affect statin response. Using UK Biobank (UKB) and All of Us (AoU) data, we aimed to investigate associations between APOE genotype, statin use, and key health outcomes. Our analysis included UKB baseline data and linked mortality records (389,843–452,189 participants), and electronic health records (EHR) from 45,515 UKB and 35,562 AoU participants. Multivariable regression and Cox models assessed lipid biomarkers, all-cause mortality, cardiovascular mortality, and major adverse cardiovascular events (MACE). In UKB, ε3ε4 (HR: 1.08, 95% CI: 1.01–1.15) and ε4ε4 (HR: 1.54, 95% CI: 1.33–1.78) carriers had higher all-cause mortality risk. In AoU, only ε4ε4 carriers showed increased risk (HR: 1.64, 95% CI: 1.08–2.49). Cardiovascular mortality was assessed only in UKB, where ε4ε4 carriers had an increased risk (HR: 1.30, 95% CI: 1.01–1.68). Mortality associations in UKB EHR data were consistent with those from baseline data and linked mortality records (e.g., ε4ε4 genotype: all-cause mortality HR: 1.51, 95% CI: 1.41–1.62; cardiovascular mortality HR: 1.54, 95% CI: 1.33–1.77). However, the statin:APOE interaction term included in the baseline analysis was not statistically significant. In AoU, changes in HDLC, LDLC, and triglycerides were associated with reduced all-cause mortality risk. No significant MACE associations were observed in either cohort. This study reaffirms that APOE ε4 genotype increases mortality risk, including in statin-treated patients, and could therefore be used to inform enhanced monitoring or medication review in these patients.

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APOE基因型和他汀类药物反应:来自英国生物银行和我们所有人计划的证据
APOE基因型可能影响他汀类药物的反应。利用UK Biobank (UKB)和All of Us (AoU)数据,我们旨在调查APOE基因型、他汀类药物使用和关键健康结局之间的关系。我们的分析包括UKB基线数据和相关的死亡率记录(389,843-452,189名参与者),以及来自45,515名UKB和35,562名AoU参与者的电子健康记录(EHR)。多变量回归和Cox模型评估了脂质生物标志物、全因死亡率、心血管死亡率和主要不良心血管事件(MACE)。在UKB中,ε3ε4 (HR: 1.08, 95% CI: 1.01-1.15)和ε4ε4 (HR: 1.54, 95% CI: 1.33-1.78)携带者的全因死亡风险较高。在AoU中,只有ε4ε4携带者的风险增加(HR: 1.64, 95% CI: 1.08 ~ 2.49)。仅在UKB中评估了心血管死亡率,其中ε4ε4携带者的风险增加(HR: 1.30, 95% CI: 1.01-1.68)。UKB EHR数据中的死亡率关联与基线数据和相关死亡率记录一致(例如,ε4ε4基因型:全因死亡率HR: 1.51, 95% CI: 1.41-1.62;心血管死亡率HR: 1.54, 95% CI: 1.33-1.77)。然而,基线分析中包含的他汀类药物:APOE相互作用项没有统计学意义。在AoU中,HDLC、LDLC和甘油三酯的变化与全因死亡风险降低有关。在两个队列中均未观察到显著的MACE关联。本研究重申APOE ε4基因型增加死亡风险,包括在他汀类药物治疗的患者中,因此可以用于加强这些患者的监测或药物审查。
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来源期刊
Cts-Clinical and Translational Science
Cts-Clinical and Translational Science 医学-医学:研究与实验
CiteScore
6.70
自引率
2.60%
发文量
234
审稿时长
6-12 weeks
期刊介绍: Clinical and Translational Science (CTS), an official journal of the American Society for Clinical Pharmacology and Therapeutics, highlights original translational medicine research that helps bridge laboratory discoveries with the diagnosis and treatment of human disease. Translational medicine is a multi-faceted discipline with a focus on translational therapeutics. In a broad sense, translational medicine bridges across the discovery, development, regulation, and utilization spectrum. Research may appear as Full Articles, Brief Reports, Commentaries, Phase Forwards (clinical trials), Reviews, or Tutorials. CTS also includes invited didactic content that covers the connections between clinical pharmacology and translational medicine. Best-in-class methodologies and best practices are also welcomed as Tutorials. These additional features provide context for research articles and facilitate understanding for a wide array of individuals interested in clinical and translational science. CTS welcomes high quality, scientifically sound, original manuscripts focused on clinical pharmacology and translational science, including animal, in vitro, in silico, and clinical studies supporting the breadth of drug discovery, development, regulation and clinical use of both traditional drugs and innovative modalities.
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