一个基因风险评分来预测精神病抑郁症治疗不响应的预测
Sophie E Ter Hark1,2, Marieke J H Coenen3, Cornelis F Vos4,5
1Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands. sophie.terhark@radboudumc.nl.
Translational psychiatry
|March 2, 2024
概括
遗传风险评分 (GRS) 可以预测精神病性抑郁症患者的治疗不响应和不缓解,这是严重的严重抑郁症形式. 这一发现为难以治疗的抑郁症提供了个性化治疗策略的希望.
科学领域:
- 精神病学是一个精神病学.
- 遗传学 遗传学 是一个
- 药物基因组学 药物基因组学
背景情况:
- 精神病性抑郁症是主要抑郁症的严重亚型,具有较高的治疗抵抗率.
- 预测治疗耐药性的现有研究往往排除患有精神病性抑郁症的患者.
- 基因风险评分 (GRS) 是从一项关于治疗耐药抑郁症的大型全基因组关联研究中开发出来的.
研究的目的:
- 调查GWAS是否与精神病性抑郁症患者的治疗不响应和不缓解有关.
- 评估GRS对精神病抑郁症治疗结果的预测价值.
主要方法:
- 基因风险评分 (GRS) 是基于一项大型耐治疗抑郁症全基因组关联研究而创建的.
- 在一组随机临床试验中,GRS测试了122名患有精神病性抑郁症的患者.
- 治疗响应和缓解在使用文拉法辛,伊米普拉明或文拉法辛加奎蒂亚平治疗7周后进行评估.
- 积极和消极的预测值和赔率比率被计算为GRS分数.
主要成果:
- GRS与治疗反应 (r=-0.32,p=0.0023) 和缓解 (r=-0.31,p=0.0037) 有负相关性.
- 在前10%的GRS患者中,无反应的预测值为100%正值,无缓解的预测值为100%正值.
- 在前40%的GRS患者中,观察到非响应和非缓解的风险增加.
结论:
- 治疗耐药性抑郁症 (GRS) 是精神病性抑郁症患者治疗不响应和不缓解的重要预测因素.
- GRS可能有助于识别患有精神病抑郁症的个体,这些个体不太可能对标准抗抑郁药物治疗作出反应.
- 这些发现支持基因信息在个性化严重抑郁症治疗策略方面的潜在实用性.
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