通过可见和近红外光谱法对系统性红斑狼疮患者血浆样本中的抗磷脂抗体进行光谱诊断。

Spectroscopic diagnosis of anti-phospholipid antibodies by visible and near-infrared spectroscopy in SLE patients' plasma samples.

作者信息

Nojima Junzo, Sakudo Akikazu, Hakariya Yukiko, Kuratsune Hirohiko, Watanabe Yasuyoshi, Kanakura Yuzuru, Ikuta Kazuyoshi

机构信息

Laboratory for Clinical Investigation, Osaka University Hospital, 2-15 Yamadaoka, Suita, Osaka 565-0871, Japan.

出版信息

Biochem Biophys Res Commun. 2007 Oct 19;362(2):522-4. doi: 10.1016/j.bbrc.2007.08.020. Epub 2007 Aug 13.

DOI:10.1016/j.bbrc.2007.08.020

PMID:17719002

Abstract

The purpose of this study was to investigate whether visible and near-infrared (Vis-NIR) spectroscopy can be used for diagnoses of anti-phospholipid syndrome (APS). Vis-NIR spectra from 90 plasma samples [anti-phospholipid antibodies (aPLs)-positive group, n=48; aPLs-negative group, n=42] were subjected to principal component analysis (PCA) and soft independent modeling of class analogy (SIMCA) to develop multivariate models to discriminate between aPLs-positive and aPLs-negative. Both PCA and SIMCA models were further assessed by the prediction of 84 masked other determinations. The PCA model predicted successful discrimination of the masked samples with respect to aPLs-positive and aPLs-negative. The SIMCA model predicted 42 of 48 (87.5%) aPLs-positive patients and 33 of 36 (91.7%) aPLs-negative patients of Vis-NIR spectra from masked samples correctly. These results suggest that Vis-NIR spectroscopy combined with multivariate analysis could provide a promising tool to objectively diagnose APS.

摘要

本研究的目的是调查可见近红外（Vis-NIR）光谱是否可用于抗磷脂综合征（APS）的诊断。对90份血浆样本[抗磷脂抗体（aPLs）阳性组，n = 48；aPLs阴性组，n = 42]的Vis-NIR光谱进行主成分分析（PCA）和类类比软独立建模（SIMCA），以建立多变量模型来区分aPLs阳性和aPLs阴性。通过对84个隐藏的其他测定进行预测，进一步评估PCA和SIMCA模型。PCA模型成功预测了隐藏样本在aPLs阳性和aPLs阴性方面的区分。SIMCA模型正确预测了来自隐藏样本的Vis-NIR光谱中48例aPLs阳性患者中的42例（87.5%）和36例aPLs阴性患者中的33例（91.7%）。这些结果表明，Vis-NIR光谱结合多变量分析可为客观诊断APS提供一种有前景的工具。