与阿司匹林和氯吡格雷耐药性相关的分子基因组和表观基因组特征

IF 2.1 4区 医学 Q3 GENETICS & HEREDITY BMC Medical Genomics Pub Date : 2024-06-20 DOI:10.1186/s12920-024-01936-1
Jei Kim, Byoung-Soo Shin, Dae-Hyun Kim, Dong-Ick Shin, Seong Hwan Ahn, Jae Guk Kim, Su Hyun Ryu, Hye Rin Moon, Hyun Goo Kang, Hyeseon Jeong, Kyu Sun Yum, Hee-Yun Chae, Do-Hyung Kim, Keunsoo Kang, Jeeyeon Kim
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引用次数: 0

摘要

背景:参与花生四烯酸经环氧化酶(COX)和脂氧合酶(ALOX)代谢的介质、基因组和表观基因组特征以及氯吡格雷的肝活化被单独认为是与阿司匹林和氯吡格雷耐药相关的因素。本项多中心前瞻性队列研究评估了参与花生四烯酸代谢和氯吡格雷活化的介质、基因组和表观基因组特征是否会成为除心血管风险外还能改善阿司匹林和氯吡格雷耐药性预测的因素:我们招募了 988 名短暂性脑缺血发作和缺血性脑卒中患者,对其缺血性脑卒中复发情况进行评估以确认临床耐药性,并在服用阿司匹林和氯吡格雷 12 周后使用 VerifyNow 测量阿司匹林(ARU)和 P2Y12 反应单位(PRU)以评估实验室耐药性。我们研究了参与 COX 和 ALOX 代谢以及氯吡格雷激活的基因的介质、基因型和启动子甲基化是否能通过与已确定的心血管风险因素相结合,协同改善缺血性中风复发的预测以及 ARU 和 PRU 水平:以血栓素 A 合成酶 1 (TXAS1, rs41708) A/A 基因型和 ALOX12 启动子甲基化为自变量的逻辑模型可预测复发,在心血管风险中加入介导因子、基因组和表观基因组变量后,复发预测的灵敏度从之前的 3.4% 提高到 13.8%。我们用于预测 ARU 水平的线性模型包括白三烯 B4、COX2 (rs20417) C/G 和血栓素 A2 受体 (rs1131882) A/A 基因型,并增加了 COX1 和 ALOX15 启动子甲基化作为变量。线性 PRU 预测模型将 G/A 和前列腺素 I 受体(rs4987262)G/A 基因型、COX2 和 TXAS1 启动子甲基化以及细胞色素 P450 2C19*2 (rs4244285) A/A、G/A 和 *3 (rs4986893) A/A 基因型作为变量。预测 ARU 的线性模型(r = 0.291,R2 = 0.033,p 2 = 0.210,p 结论:R2 = 0.033,p 2 = 0.210:该研究表明,花生四烯酸代谢和氯吡格雷激活的不同介质、基因组和表观基因组特征协同改善了对阿司匹林和氯吡格雷耐药性以及心血管风险因素的预测:URL: https://www.Clinicaltrials: gov ; Unique identifier:NCT03823274.
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Molecular genomic and epigenomic characteristics related to aspirin and clopidogrel resistance.

Background: Mediators, genomic and epigenomic characteristics involving in metabolism of arachidonic acid by cyclooxygenase (COX) and lipoxygenase (ALOX) and hepatic activation of clopidogrel have been individually suggested as factors associated with resistance against aspirin and clopidogrel. The present multi-center prospective cohort study evaluated whether the mediators, genomic and epigenomic characteristics participating in arachidonic acid metabolism and clopidogrel activation could be factors that improve the prediction of the aspirin and clopidogrel resistance in addition to cardiovascular risks.

Methods: We enrolled 988 patients with transient ischemic attack and ischemic stroke who were evaluated for a recurrence of ischemic stroke to confirm clinical resistance, and measured aspirin (ARU) and P2Y12 reaction units (PRU) using VerifyNow to assess laboratory resistance 12 weeks after aspirin and clopidogrel administration. We investigated whether mediators, genotypes, and promoter methylation of genes involved in COX and ALOX metabolisms and clopidogrel activation could synergistically improve the prediction of ischemic stroke recurrence and the ARU and PRU levels by integrating to the established cardiovascular risk factors.

Results: The logistic model to predict the recurrence used thromboxane A synthase 1 (TXAS1, rs41708) A/A genotype and ALOX12 promoter methylation as independent variables, and, improved sensitivity of recurrence prediction from 3.4% before to 13.8% after adding the mediators, genomic and epigenomic variables to the cardiovascular risks. The linear model we used to predict the ARU level included leukotriene B4, COX2 (rs20417) C/G and thromboxane A2 receptor (rs1131882) A/A genotypes with the addition of COX1 and ALOX15 promoter methylations as variables. The linear PRU prediction model included G/A and prostaglandin I receptor (rs4987262) G/A genotypes, COX2 and TXAS1 promoter methylation, as well as cytochrome P450 2C19*2 (rs4244285) A/A, G/A, and *3 (rs4986893) A/A genotypes as variables. The linear models for predicting ARU (r = 0.291, R2 = 0.033, p < 0.01) and PRU (r = 0.503, R2 = 0.210, p < 0.001) levels had improved prediction performance after adding the genomic and epigenomic variables to the cardiovascular risks.

Conclusions: This study demonstrates that different mediators, genomic and epigenomic characteristics of arachidonic acid metabolism and clopidogrel activation synergistically improved the prediction of the aspirin and clopidogrel resistance together with the cardiovascular risk factors.

Trial registration: URL: https://www.

Clinicaltrials: gov ; Unique identifier: NCT03823274.

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来源期刊
BMC Medical Genomics
BMC Medical Genomics 医学-遗传学
CiteScore
3.90
自引率
0.00%
发文量
243
审稿时长
3.5 months
期刊介绍: BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease.
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