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精神病患者血浆中的可见和近红外光谱变化。

Visible and near-infrared spectral changes in plasma of psychiatric patients.

作者信息

Kato Yukiko Hakariya, Matsunaga Hidenori, Sakudo Akikazu, Ikuta Kazuyoshi

机构信息

Department of Virology, Center for Infectious Disease Control, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan.

出版信息

Int J Mol Med. 2008 Oct;22(4):513-9.

Abstract

In the present study, the possible difference in visible and near-infrared (Vis-NIR) spectra of plasma in psychiatric patients compared to healthy control subjects was investigated. Mean Vis-NIR spectra of 60 psychiatric patients showed several specific peaks in the 630- to 930-nm region. Principal component analysis (PCA) and soft independent modeling of class analogy (SIMCA) were applied to manifest the spectral characteristics of each group. The PCA and SIMCA models demonstrated successful discrimination of the two groups using a score plot of the third versus fourth principal component and a Coomans plot, respectively. The PCA loadings were generally consistent with the discriminating power of the SIMCA model, indicating a specific pattern of Vis-NIR spectra in the plasma of psychiatric patients. The specific pattern possibly indicates altered superoxide, amine, and primary and secondary amides in plasma and may provide a possible indicator for the diagnosis of heterogeneous psychiatric disorders. This is the first step toward a clinical tool which has the potential to be applied in the diagnosis of psychiatric disease. Yet, there remain obstacles to its practical usage.

摘要

在本研究中,我们调查了与健康对照受试者相比,精神科患者血浆的可见和近红外(Vis-NIR)光谱可能存在的差异。60名精神科患者的平均Vis-NIR光谱在630至930纳米区域显示出几个特定的峰值。应用主成分分析(PCA)和类类比软独立建模(SIMCA)来展现每组的光谱特征。PCA和SIMCA模型分别使用第三主成分与第四主成分的得分图和库曼斯图成功区分了两组。PCA载荷通常与SIMCA模型的区分能力一致,表明精神科患者血浆中Vis-NIR光谱具有特定模式。这种特定模式可能表明血浆中超氧化物、胺以及一级和二级酰胺发生了变化,并可能为异质性精神疾病的诊断提供一个可能的指标。这是朝着一种有可能应用于精神疾病诊断的临床工具迈出的第一步。然而,其实际应用仍然存在障碍。

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