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作为药物无反应替代表型的抗抑郁药换药:临床、人口统计学和遗传特征研究

Antidepressant Switching as a Proxy Phenotype for Drug Nonresponse: Investigating Clinical, Demographic, and Genetic Characteristics.

作者信息

Lo Chris Wai Hang, Gillett Alexandra C, Iveson Matthew H, Kamp Michelle, Fabbri Chiara, Wong Win Lee Edwin, Handley Dale, Pain Oliver, Vassos Evangelos, Wray Naomi R, Whalley Heather C, Li Danyang, Young Allan H, McIntosh Andrew M, Lewis Cathryn M

机构信息

Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

National Institute for Health Research Maudsley BRC at South London and Maudsley NHS Foundation Trust and King's College London, London, United Kingdom.

出版信息

Biol Psychiatry Glob Open Sci. 2025 Apr 10;5(4):100502. doi: 10.1016/j.bpsgos.2025.100502. eCollection 2025 Jul.

Abstract

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) ( = 38,813) and Generation Scotland ( = 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 ( = 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], = .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.

摘要

背景

选择性5-羟色胺再摄取抑制剂(SSRIs)是重度抑郁症(MDD)的一线药物治疗方法,但治疗有效率较低。临床试验缺乏研究基因对SSRIs反应影响的能力。电子健康记录中的真实世界证据提供了更大的样本量,但需要新的反应定义来准确界定SSRIs无反应者。

方法

在英国生物银行(UKB)(n = 38813)和苏格兰一代研究(Generation Scotland)(n = 1777)数据集中,SSRIs转换定义为基层医疗中SSRIs处方与另一种抗抑郁药处方之间间隔≤90天。未转换者为连续开具≥3次SSRIs处方的参与者。在UKB中,确定了与转换相关的临床、人口统计学和多基因评分(PGS)关联,并估计了常见变异遗传力。

结果

在UKB中,定义了5133名(13.2%)SSRIs转换者和33680名未转换者。转换的平均时间为28天(四分位间距,17 - 49天)。UKB和苏格兰一代研究(n = 498名转换者)中的转换模式一致。较高的年收入和教育水平(大学学位的优势比[OR][95%CI]为0.73[0.67 - 0.79],与无学历相比)与较低的转换水平相关。基于临床研究的未缓解PGS与转换风险增加相关(OR,1.07[1.02 - 1.12],P = 0.007)。MDD PGS和抑郁症家族史与转换无显著关联。使用全基因组复杂性状贝叶斯方法,基于观察量表,单核苷酸多态性遗传力约为4%(标准误0.016)。

结论

本研究将SSRIs转换确定为无反应的替代指标,可在拥有电子健康记录的生物银行中推广应用,涵盖治疗无反应的人口统计学和遗传学信息,且独立于MDD遗传学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e54d/12162021/7bec4605dcb0/gr1.jpg

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