基线系统性炎症反应指数 (SIRI) 预测了治疗耐药双极性抑郁症患者子集的临床反应
Stephen Murata1, Nausheen Baig2,3, Kyle Decker2,3
1Pine Rest Christian Mental Health Services, Michigan State University, 300 68th Street SE, Grand Rapids, MI 49548, USA.
Journal of personalized medicine
|September 28, 2023
概括
高的治疗前系统性炎症反应指数 (SIRI) 可能预测治疗耐药双极性抑郁症 (TRBDD) 患者的治疗结果较差. 这一发现有助于理解TRBDD机制,并指导治疗策略.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 免疫学 免疫学 免疫学
背景情况:
- 选择性循环氧化酶2 (COX2) 抑制是治疗耐药双极性抑郁症 (TRBDD) 的辅助疗法.
- 在TRBDD和治疗反应背后的机制需要进一步阐明.
- 系统性炎症反应指数 (SIRI) 是潜在的炎症状况生物标志物.
研究的目的:
- 探索系统性炎症反应指数 (SIRI) 与TRBDD的临床结果之间的关系.
- 调查SIRI与炎症生物标志物的相关性及其对治疗反应的预测价值.
主要方法:
- 一个双盲,安慰剂控制的RCT的回顾性分析,涉及埃斯卡托普拉姆 (ESC) 和塞莱科克西布 (CBX).
- 在TRBDD患者和健康对照者 (HC) 之间对基线SIRI的比较.
- 基线SIRI与炎症性细胞因子, kynurenines 和生长因子的相关性.
- 使用SIRI对治疗后汉密尔顿抑郁评分表 (HAMD-17) 评分进行建模,并对共变量进行调整.
主要成果:
- 基线SIRI没有区分TRBDD患者和HC患者.
- 基线SIRI与较低基线MCP-1相关.
- 在治疗第8周出现了SIRI和HAMD-17之间的显著关系.
- 基线SIRI升高预测了基线抑郁症患者在治疗后的HAMD-17得分更高.
结论:
- 治疗前SIRI可作为TRBDD患者治疗结果较差的预测生物标志物,患者基线抑郁症升高.
- 作为一个潜在的工具来分层患者和指导TRBDD治疗决策,SIRI需要进一步调查.
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