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基于人血清样本的溃疡性结肠炎筛查的红外光谱生物标志物。

Infrared spectrometric biomarkers for ulcerative colitis screening using human serum samples.

机构信息

Department of Physics and Astronomy, Georgia State University, Atlanta, GA, USA.

Institute for Biomedical Sciences, Digestive Disease Research Group, Georgia State University, Atlanta, GA, USA.

出版信息

J Biophotonics. 2022 Jun;15(6):e202100307. doi: 10.1002/jbio.202100307. Epub 2022 Feb 19.

Abstract

This study uses infrared spectrometry coupled with data analysis techniques to understand colitis-induced alterations in the molecular components of serum samples. Using samples from 18 ulcerative colitis patients and 28 healthy volunteers, we assessed features such as absorbance values at wavenumbers of 1033 and 1076 cm , and the ratios at 1121 versus 1020 cm and 1629 versus 1737 cm . Through the deconvolution of the amide I band, protein secondary structure analysis was performed. Colitis-induced alterations are reflected as fluctuations in the vibrational modes, and are used to identify associated spectral signatures. The results of the study show statistically significant differences in five identifying spectral signatures. Among them, the sensitivity and specificity of the spectral signature, I /I , were 100% and 86%, respectively. These findings resemble our earlier proof-of-concept investigations in mouse models and provide preliminary evidence that this could be a reliable diagnostic test for human patients.

摘要

本研究使用红外光谱结合数据分析技术,了解结肠炎引起的血清样本中分子成分的变化。使用 18 例溃疡性结肠炎患者和 28 例健康志愿者的样本,我们评估了波数为 1033 和 1076 cm 处的吸光度值以及 1121 与 1020 cm 和 1629 与 1737 cm 处的比值等特征。通过对酰胺 I 带的解卷积,进行了蛋白质二级结构分析。结肠炎引起的变化反映为振动模式的波动,并用于识别相关的光谱特征。研究结果表明,有五个具有鉴别意义的光谱特征存在统计学差异。其中,光谱特征 I /I 的灵敏度和特异性分别为 100%和 86%。这些发现与我们之前在小鼠模型中的概念验证研究相似,初步表明这可能是一种针对人类患者的可靠诊断测试。

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