William Harvey Research Institute, Queen Mary University of London, London, UK.
Blizard Institute, Queen Mary University of London, London, UK.
Br J Clin Pharmacol. 2023 Nov;89(11):3432-3438. doi: 10.1111/bcp.15762. Epub 2023 Aug 6.
CYP2C19 is a hepatic enzyme involved in the metabolism of antidepressants associated with increased gastrointestinal bleed (GIB) risk. The aim of our study was to explore a possible association between loss-of-function CYP2C19 genotypes and GIB in South Asian ancestry participants prescribed antidepressants.
Genes & Health participants with a record in Barts Health NHS Trust (N 22 753) were studied using a cross-sectional approach. CYP2C19 diplotypes were assessed and metabolizer type inferred from consortia guidance. Fisher's exact test was used to compare the prevalence of GIB in different metabolizer categories. Multivariable regression was used to test for association between antidepressant prescriptions and GIB, and between CYP2C19 metabolizer state and GIB in the subcohort prescribed antidepressants.
Antidepressants were frequently prescribed (47%, N = 10 612). A total of 864 participants (4%) had a GIB; 534 (62%) had been prescribed a CYP2C19 metabolized antidepressant. There was an independent association between antidepressant prescriptions and GIB events (odds ratio 1.8, confidence interval 1.5-2.0, P < 0.0001). There was no relationship between CYP2C19 inferred poor (P 0.56) or intermediate (P 0.53) metabolizer status and GIB in those prescribed an antidepressant in unadjusted analysis. A multivariable logistic regression model did not show an independent association between poor (P 0.54) or intermediate (P 0.62) CYP2C19 metabolizers and GIB in the subcohort prescribed antidepressants.
CYP2C19 dependent antidepressants are associated with increased GIB prevalence. GIB appeared independent from CYP2C19 metabolizer genotype in individuals who had been prescribed antidepressants. Precision dosing based on CYP2C19 genetic information alone is unlikely to reduce GIB prevalence.
CYP2C19 是一种参与与增加胃肠道出血 (GIB) 风险相关的抗抑郁药代谢的肝酶。本研究的目的是探索南亚血统参与者中失活 CYP2C19 基因型与 GIB 之间可能存在的关联,这些参与者被处方了抗抑郁药。
使用横断面方法研究了在 Barts Health NHS 信托基金(N 22753)有记录的基因与健康参与者。评估 CYP2C19 二倍型,并根据联合会指南推断代谢物类型。使用 Fisher 精确检验比较不同代谢物类别的 GIB 患病率。多变量回归用于测试抗抑郁药处方与 GIB 之间以及 CYP2C19 代谢物状态与处方抗抑郁药的亚组中 GIB 之间的关联。
抗抑郁药经常被开处方(47%,N=10612)。共有 864 名参与者(4%)发生 GIB;534 名(62%)被处方了 CYP2C19 代谢的抗抑郁药。抗抑郁药处方与 GIB 事件之间存在独立关联(比值比 1.8,置信区间 1.5-2.0,P<0.0001)。在未调整分析中, CYP2C19 推断的差(P0.56)或中间(P0.53)代谢状态与服用抗抑郁药的 GIB 之间没有关系。多变量逻辑回归模型显示,在服用抗抑郁药的亚组中,差(P0.54)或中间(P0.62)CYP2C19 代谢物与 GIB 之间没有独立关联。
CYP2C19 依赖性抗抑郁药与 GIB 患病率增加相关。在服用抗抑郁药的个体中,GIB 似乎与 CYP2C19 代谢物基因型无关。仅基于 CYP2C19 遗传信息的精准剂量给药不太可能降低 GIB 的患病率。