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主要精神疾病中的分子异常:死后前额叶标记物的分类与回归树(CRT)分析

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

作者信息

Knable M B, Barci B M, Bartko J J, Webster M J, Torrey E F

机构信息

Stanley Foundation Research Programs, Bethesda, MD 20814, USA.

出版信息

Mol Psychiatry. 2002;7(4):392-404. doi: 10.1038/sj.mp.4001034.

DOI:10.1038/sj.mp.4001034
PMID:11986983
Abstract

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.

摘要

来自斯坦利基金会神经病理学联盟的尸检标本已分发给世界各地的许多研究小组,该联盟包含精神分裂症、双相情感障碍、非精神病性抑郁症患者以及正常对照(每组15例)的匹配样本。本文总结了1997年至2001年期间从该样本收集中在前额叶皮质区域发现的异常标志物。通过对102个独立数据集进行参数方差分析,至少在一种疾病中发现14种标志物异常。这些标志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。还使用非参数分类与回归树(CRT)技术对四个诊断组以及成对组合的数据集进行了检查。与方差分析结果不同,CRT方法确定了一组较小的9种标志物,这些标志物对诊断分类贡献最大。CRT观察到的9种标志物中有3种与方差分析结果重叠。CRT技术观察到的9种标志物中有6种与谷氨酸能、γ-氨基丁酸能和多巴胺能神经传递的方面有关。

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