首页> 外文期刊>Neurotoxicity research >The Neuroimmune and Neurotoxic Fingerprint of Major Neurocognitive Psychosis or Deficit Schizophrenia: a Supervised Machine Learning Study
【24h】

The Neuroimmune and Neurotoxic Fingerprint of Major Neurocognitive Psychosis or Deficit Schizophrenia: a Supervised Machine Learning Study

机译:主要神经认知精神病或缺陷精神分裂症的神经影响和神经毒性指纹:监督机器学习研究

获取原文
获取原文并翻译 | 示例
           

摘要

No studies have examined the immune fingerprint of major neurocognitive psychosis (MNP) or deficit schizophrenia using M1 macrophage cytokines in combination with chemokines such as CCL2 and CCL11. The present study delineated the neuroimmune fingerprint of MNP by analyzing plasma levels of IL-1 beta, sIL-1RA, TNF alpha, sTNFR1, sTNFR2, CCL2, and CCL11 in 120 MNP versus 54 healthy controls in association with neurocognitive scores (as assessed with the Brief Assessment of Cognition in Schizophrenia) and PHEMN (psychotic, hostility, excitation, mannerism and negative) symptoms. MNP was best predicted by a combination of CCL11, TNF alpha, IL-1 beta, and sIL-1RA which yielded a bootstrapped (n = 2000) area under the receiver operating curve of 0.985. Composite scores reflecting M1 macrophage activity and neurotoxic potential including effects of CCL11 and CCL2 were significantly increased in MNP. A large part of the variance in PHEM (38.4-52.6%) and negative (65.8-74.4%) symptoms were explained by combinations of immune markers whereby CCL11 was the most important. The same markers explained a large part of the variance in the Mini-Mental State examination, list learning, digit sequencing task, category instances, controlled word association, symbol coding, and Tower of London. Partial least squares analysis showed that 72.7% of the variance in overall severity of schizophrenia was explained by the regression on IL-1 beta, sIL-1RA, CCL11, TNF alpha, and education. It is concluded that the combination of the abovementioned markers defines MNP as a distinct neuroimmune disorder and that increased immune neurotoxicity determines memory and executive impairments and PHEMN symptoms as well.
机译:除了CCL2和CCL11如CCL2和CCL11的趋化因子组合,没有研究主要神经认知精神病毒症(MNP)或缺陷精神分裂症的免疫指纹。本研究通过分析IL-1β,SIL-1RA,TNFα,STNFR1,STNFR2,CCL2的血浆水平,阐述了MNP的神经影响指纹图谱120 MNP与神经认知评分相关的54种健康对照(如评估精神分裂症认知的简要评估)和狂热(精神病,敌意,激发,举射态度和消极)症状。通过CCL11,TNFα,IL-1β和SIL-1RA的组合最佳地预测MNP,其在接收器操作曲线下在0.985的接收器下产生自动启动(n = 2000)区域。反映M1巨噬细胞活性和包括CCL11和CCL2的神经毒性潜力的复合评分在MNP中显着增加。通过免疫标记的组合解释了pHEM的大部分差异(38.4-52.6%)和阴性(65.8-74.4%)症状,其中CCL11是最重要的。相同的标记解释了迷你精神状态检查,列表学习,数字测序任务,类别实例,受控字关联,符号编码和伦敦塔的大部分方差。部分最小二乘分析表明,在IL-1β,SIL-1RA,CCL11,TNFα和教育中,解释了精神分裂症的总体严重程度的72.7%的差异。结论是,上述标志物的组合将MNP定义为一种不同的神经毒性疾病,并且免疫神经毒性增加决定记忆和行政障碍和宣传症状。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号