基因风险和功能性大脑连接在确定精神分裂症抗精神病反应中的增量预测价值
Urvakhsh Meherwan Mehta1, Neelabja Roy1, Ashutosh Bahuguna1
1Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore 560029, India.
Psychiatry research
|September 25, 2024
概括
添加精神分裂症多原风险评分 (PgRS) 和静止状态功能大脑连接 (rsFC) 显著改善了预测第一发精神分裂症患者里斯佩里治疗反应. 这些生物标志物比单独的临床数据提供了更多的好处.
科学领域:
- 精神病学是一个精神病学.
- 神经科学是一个神经科学.
- 遗传学 遗传学 是一个
背景情况:
- 仅使用临床数据来预测精神分裂症治疗反应仍然具有挑战性.
- 需要个性化医疗方法来优化精神分裂症的治疗选择.
研究的目的:
- 评估精神分裂症多原风险评分 (PgRS) 和静止状态功能大脑连接 (rsFC) 对RISPERIDONE反应的附加预测价值.
- 为了比较临床数据与联合临床,遗传和神经成像数据的预测能力.
主要方法:
- 使用了带有leave-one-out交叉验证的等级多重回归分析.
- 预测因素包括第一次精神分裂症患者的临床变量,PgRS和rsFC.
- 对治疗的反应是通过在六周里斯佩里治疗后积极和消极综合征评分表的百分比变化来衡量.
主要成果:
- 仅仅临床变量并不能显著预测治疗反应.
- 增加PgRS逐步解释了治疗响应的额外9%的差异.
- 添加rsFC进一步改善了预测,解释了额外的26%的差异.
结论:
- 精神分裂症PgRS和rsFC为短期RISPERIDONE反应提供了显著的增量预测价值.
- 基因和神经成像指标可以比传统的临床评估更好地预测治疗反应.
- 这项研究支持将生物标志物纳入个性化精神分裂症治疗策略.
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