Molecular abnormalities in the major psychiatric illnesses: Classification and Regression Tree (CRT) analysis of post-mortem prefrontal markers

Molecular abnormalities in the major psychiatric illnesses: Classification and Regression Tree (CRT) analysis of post-mortem prefrontal markers
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DOI:
10.1038/sj.mp.4001034
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发表时间:
2002-01-01
影响因子:
11
通讯作者:
Torrey, EF
Torrey, EF
中科院分区:
医学1区
文献类型:
--
作者:
Knable, MB;Barci, BM;Torrey, EF

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斯坦利基金会神经病理学联盟的尸检标本包含来自精神分裂症、双相情感障碍、非精神病性抑郁症患者和正常对照组(每组 15 名)的匹配样本,已分发给世界各地的许多研究小组。本文总结了 1997 年至 2001 年间在前额皮质区域发现的异常标记。通过对 102 个独立数据集进行方差参数分析,发现 14 个标记在至少一种疾病中出现异常。这些标记物涉及多种神经系统和过程,包括神经元可塑性、神经传递、信号转导、抑制性中间神经元功能和神经胶质细胞。还使用非参数分类和回归树 (CRT) 技术对四个诊断组和成对组合的数据集进行了检查。与方差分析获得的结果相反,CRT 方法确定了一组较小的九个标记,这些标记对诊断分类贡献最大。用 CRT 观察到的九个标记中的三个与方差分析结果重叠。通过 CRT 技术观察到的九个标记中有六个与谷氨酸能、GABA 能和多巴胺能神经传递有关。
Post-mortem specimens from the Stanley Foundation Neuropathology Consortium, which contains matched samples from patients with schizophrenia, bipolar disorder, non-psychotic depression and normal controls (n = 15 per group), have been distributed to many research groups around the world. This paper provides a summary of abnormal markers found in prefrontal cortical areas from this collection between 1997 and 2001. With parametric analyses of variance of 102 separate data sets, 14 markers were abnormal in at least one disease. The markers pertained to a variety of neural systems and processes including neuronal plasticity, neurotransmission, signal transduction, inhibitory interneuron function and glial cells. The data sets were also examined using the non-parametric Classification and Regression Tree (CRT) technique for the four diagnostic groups and in pair-wise combinations. In contrast to the results obtained with analyses of variance, the CRT method identified a smaller set of nine markers that contributed maximally to the diagnostic classifications. Three of the nine markers observed with CRT overlapped with the ANOVA results. Six of the nine markers observed with the CRT technique pertained to aspects of glutamatergic, GABA-ergic, and dopaminergic neurotransmission.