Research School of Behavioral and Cognitive Neurosciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
GGZ Drenthe Mental Health Center Drenthe, Assen, The Netherlands.
BMC Psychiatry. 2024 May 27;24(1):394. doi: 10.1186/s12888-024-05764-6.
Tailoring antidepressant drugs (AD) to patients' genetic drug-metabolism profile is promising. However, literature regarding associations of ADs' treatment effect and/or side effects with drug metabolizing genes CYP2D6 and CYP2C19 has yielded inconsistent results. Therefore, our aim was to longitudinally investigate associations between CYP2D6 (poor, intermediate, and normal) and CYP2C19 (poor, intermediate, normal, and ultrarapid) metabolizer-status, and switching/discontinuing of ADs. Next, we investigated whether the number of perceived side effects differed between metabolizer statuses.
Data came from the multi-site naturalistic longitudinal cohort Netherlands Study of Depression and Anxiety (NESDA). We selected depression- and/or anxiety patients, who used AD at some point in the course of the 9 years follow-up period (n = 928). Medication use was followed to assess patterns of AD switching/discontinuation over time. CYP2D6 and CYP2C19 alleles were derived using genome-wide data of the NESDA samples and haplotype data from the PharmGKB database. Logistic regression analyses were conducted to investigate the association of metabolizer status with switching/discontinuing ADs. Mann-Whitney U-tests were conducted to compare the number of patient-perceived side effects between metabolizer statuses.
No significant associations were observed of CYP metabolizer status with switching/discontinuing ADs, nor with the number of perceived side effects.
We found no evidence for associations between CYP metabolizer statuses and switching/discontinuing AD, nor with side effects of ADs, suggesting that metabolizer status only plays a limited role in switching/discontinuing ADs. Additional studies with larger numbers of PM and UM patients are needed to further determine the potential added value of pharmacogenetics to guide pharmacotherapy.
根据患者的基因药物代谢谱来定制抗抑郁药物(AD)具有广阔的前景。然而,关于 AD 治疗效果和/或副作用与药物代谢基因 CYP2D6 和 CYP2C19 之间的关联的文献得出了不一致的结果。因此,我们的目的是纵向研究 CYP2D6(差、中、正常)和 CYP2C19(差、中、正常和超快)代谢状态与 AD 的转换/停药之间的关系。接下来,我们研究了代谢状态之间感知到的副作用数量是否存在差异。
数据来自多地点自然主义纵向队列荷兰抑郁和焦虑研究(NESDA)。我们选择了在 9 年随访期间的某个时间点使用 AD 的抑郁症和/或焦虑症患者(n=928)。监测药物使用情况,以评估 AD 随时间转换/停药的模式。CYP2D6 和 CYP2C19 等位基因使用 NESDA 样本的全基因组数据和 PharmGKB 数据库的单倍型数据推导。进行逻辑回归分析以研究代谢状态与 AD 转换/停药之间的关联。采用 Mann-Whitney U 检验比较代谢状态之间患者感知副作用的数量。
未观察到 CYP 代谢状态与 AD 的转换/停药、感知副作用的数量之间存在显著关联。
我们没有发现 CYP 代谢状态与 AD 的转换/停药以及 AD 的副作用之间存在关联的证据,这表明代谢状态在 AD 的转换/停药中仅发挥有限的作用。需要更多的 PM 和 UM 患者的研究来进一步确定药物遗传学指导药物治疗的潜在附加价值。