抗抑郁药转换作为药物无反应的代用表型:调查临床、人口统计学和遗传特征

IF 3.7 Q2 NEUROSCIENCES
Chris Wai Hang Lo , Alexandra C. Gillett , Matthew H. Iveson , Michelle Kamp , Chiara Fabbri , Win Lee Edwin Wong , Dale Handley , Oliver Pain , Evangelos Vassos , Naomi R. Wray , Heather C. Whalley , Danyang Li , Allan H. Young , Andrew M. McIntosh , Cathryn M. Lewis
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引用次数: 0

摘要

背景:选择性5 -羟色胺再摄取抑制剂(SSRIs)是治疗重度抑郁症(MDD)的一线药物,但治疗有效率较低。临床试验缺乏研究基因对SSRI反应的影响的能力。来自电子健康记录的真实世界证据提供了更大的样本量,但需要新的响应定义来准确定义SSRI无应答者。方法在UK Biobank (N = 38,813)和Generation Scotland (N = 1777)数据集中,SSRI切换的定义是使用初级保健中SSRI和另一种抗抑郁药处方之间≤90天的间隔。未转换者是连续服用SSRI药物≥3次的受试者。在UKB中,确定了临床、人口统计学和多基因评分(PGS)与切换的关联,并估计了共同变异的遗传力。结果在UKB中,有5133名SSRI转换者(13.2%)和33,680名非SSRI转换者。平均转换时间为28天(四分位数间距17-49)。转换模式在英国和苏格兰一代(n = 498转换者)中是一致的。较高的年收入和教育水平(大学学历的比值比[OR] [95% CI],与没有学历的相比为0.73[0.67-0.79])与较低的转换水平相关。基于临床研究,非缓解期的pgs与转换风险增加相关(OR, 1.07 [1.02-1.12], p = .007)。MDD、pgs和抑郁家族史与转换无显著相关。利用全基因组复杂性状贝叶斯分析,单核苷酸多态性遗传率约为4% (SE 0.016)。本研究确定SSRI转换为无反应的代理,可在具有电子健康记录的生物库中扩展,捕获治疗无反应的人口统计学和遗传学,并且独立于MDD遗传学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Antidepressant Switching as a Proxy Phenotype for Drug Nonresponse: Investigating Clinical, Demographic, and Genetic Characteristics

Background

Selective serotonin reuptake inhibitors (SSRIs) are a first-line pharmacological therapy in major depressive disorder (MDD), but treatment response rates are low. Clinical trials lack the power to study the genetic contribution to SSRI response. Real-world evidence from electronic health records provides larger sample sizes, but novel response definitions are needed to accurately define SSRI nonresponders.

Methods

In the UK Biobank (UKB) (N = 38,813) and Generation Scotland (N = 1777) datasets, SSRI switching was defined using ≤90-day gap between prescriptions for an SSRI and another antidepressant in primary care. Nonswitchers were participants with ≥3 consecutive prescriptions for an SSRI. In the UKB, clinical, demographic, and polygenic score (PGS) associations with switching were determined, and the common-variant heritability was estimated.

Results

In the UKB, 5133 (13.2%) SSRI switchers and 33,680 nonswitchers were defined. The mean time to switch was 28 days (interquartile range, 17–49). Switching patterns were consistent across the UKB and Generation Scotland (n = 498 switchers). Higher annual income and educational levels (odds ratio [OR] [95% CI] for a university degree, 0.73 [0.67–0.79] compared with no qualifications) were associated with lower levels of switching. PGSs for nonremission, based on clinical studies, were associated with increased risk of switching (OR, 1.07 [1.02–1.12], p = .007). MDD PGSs and family history of depression were not significantly associated with switching. Using genome-wide complex trait Bayesian, the single nucleotide polymorphism–based heritability was approximately 4% (SE 0.016) on the observed scale.

Conclusions

This study identified SSRI switching as a proxy for nonresponse, scalable across biobanks with electronic health records, capturing demographics and genetics of treatment nonresponse, and independent of MDD genetics.
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来源期刊
Biological psychiatry global open science
Biological psychiatry global open science Psychiatry and Mental Health
CiteScore
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