Kee Ping Siu, Maggo Simran D S, Kennedy Martin A, Chin Paul K L
Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand.
Department of Pathology, Center for Personalized Medicine, Children's Hospital Los Angeles, Los Angeles, CA, United States.
Front Pharmacol. 2023 Feb 21;14:1080117. doi: 10.3389/fphar.2023.1080117. eCollection 2023.
Pharmacogenetics has potential for optimizing use of psychotropics. and are two clinically relevant pharmacogenes in the prescribing of antidepressants. Using cases recruited from the Understanding Drug Reactions Using Genomic Sequencing (UDRUGS) study, we aimed to evaluate the clinical utility of genotyping and in antidepressant response. Genomic and clinical data for patients who were prescribed antidepressants for mental health disorders, and experienced adverse reactions (ADRs) or ineffectiveness, were extracted for analysis. Genotype-inferred phenotyping of and was carried out as per Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines. A total of 52 patients, predominantly New Zealand Europeans (85%) with a median age (range) of 36 years (15-73), were eligible for analysis. Thirty-one (60%) reported ADRs, 11 (21%) ineffectiveness, and 10 (19%) reported both. There were 19 CYP2C19 NMs, 15 IMs, 16 RMs, one PM and one UM. For CYP2D6, there were 22 NMs, 22 IMs, four PMs, three UMs, and one indeterminate. CPIC assigned a level to each gene-drug pair based on curated genotype-to-phenotype evidence. We analyzed a subgroup of 45 cases, inclusive of response type (ADRs/ineffectiveness). Seventy-nine (N = 37 for , N = 42 for ) gene-drug/antidepressant-response pairs with CPIC evidence levels of A, A/B, or B were identified. Pairs were assigned as 'actionable' if the CYP phenotypes potentially contributed to the observed response. We observed actionability in 41% (15/37) of -antidepressant-response pairs and 36% (15/42) of -antidepressant-response pairs. In this cohort, and genotypes were actionable for a total of 38% pairs, consisting of 48% in relation to ADRs and 21% in relation to drug ineffectiveness.
药物遗传学在优化精神药物的使用方面具有潜力。CYP2C19和CYP2D6是抗抑郁药处方中两个与临床相关的药物基因。利用从“利用基因组测序理解药物反应”(UDRUGS)研究中招募的病例,我们旨在评估CYP2C19和CYP2D6基因分型在抗抑郁反应中的临床效用。提取了因精神健康障碍而服用抗抑郁药且经历过不良反应(ADR)或治疗无效的患者的基因组和临床数据进行分析。根据临床药物遗传学实施联盟(CPIC)指南对CYP2C19和CYP2D6进行基因型推断表型分析。共有52例患者符合分析条件,主要为新西兰欧洲人(85%),中位年龄(范围)为36岁(15 - 73岁)。31例(60%)报告有不良反应,11例(21%)治疗无效,10例(19%)两者都有报告。CYP2C19有19例正常代谢者(NM)、15例中间代谢者(IM)、16例快代谢者(RM)、1例慢代谢者(PM)和1例超快速代谢者(UM)。对于CYP2D6,有22例NM、22例IM、4例PM、3例UM和1例不确定型。CPIC根据精心整理的基因型 - 表型证据为每个基因 - 药物对指定一个级别。我们分析了45例患者的亚组,包括反应类型(ADR/治疗无效)。确定了79个(CYP2C19为37个,CYP2D6为42个)具有CPIC证据级别A、A/B或B的基因 - 药物/抗抑郁反应对。如果CYP表型可能导致观察到的反应,则将这些对指定为“可采取行动的”。我们在37个CYP2C19 - 抗抑郁反应对中的41%(15/37)和42个CYP2D6 - 抗抑郁反应对中的36%(15/42)中观察到可采取行动性。在这个队列中,CYP2C19和CYP2D6基因型在总共38%的对中是可采取行动的,其中与ADR相关的占48%,与药物无效相关的占21%。