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利用近红外(NIR)光谱分析人指甲屑中的蛋白质糖化,作为诊断糖尿病的替代技术。

Analysis of protein glycation in human fingernail clippings with near-infrared (NIR) spectroscopy as an alternative technique for the diagnosis of diabetes mellitus.

机构信息

Department of Clinical Chemistry, Ghent University Hospital, Ghent, Belgium.

Department of Laboratory Medicine, Catholic University of Bukavu, Bukavu, Democratic Republic of the Congo.

出版信息

Clin Chem Lab Med. 2018 Aug 28;56(9):1551-1558. doi: 10.1515/cclm-2018-0239.

Abstract

BACKGROUND

Glycated keratin allows the monitoring of average tissue glucose exposure over previous weeks. In the present study, we wanted to explore if near-infrared (NIR) spectroscopy could be used as a non-invasive diagnostic tool for assessing glycation in diabetes mellitus.

METHODS

A total of 52 patients with diabetes mellitus and 107 healthy subjects were enrolled in this study. A limited number (n=21) of nails of healthy subjects were glycated in vitro with 0.278 mol/L, 0.556 mol/L and 0.833 mol/L glucose solution to study the effect of glucose on the nail spectrum. Consequently, the nail clippings of the patients were analyzed using a Thermo Fisher Antaris II Near-IR Analyzer Spectrometer and near infrared (NIR) chemical imaging. Spectral classification (patients with diabetes mellitus vs. healthy subjects) was performed using partial least square discriminant analysis (PLS-DA).

RESULTS

In vitro glycation resulted in peak sharpening between 4300 and 4400 cm-1 and spectral variations at 5270 cm-1 and between 6600 and 7500 cm-1. Similar regions encountered spectral deviations during analysis of the patients' nails. Optimization of the spectral collection parameters was necessary in order to distinguish a large dataset. Spectra had to be collected at 16 cm-1, 128 scans, region 4000-7500 cm-1. Using standard normal variate, Savitsky-Golay smoothing (7 points) and first derivative preprocessing allowed for the prediction of the test set with 100% correct assignments utilizing a PLS-DA model.

CONCLUSIONS

Analysis of protein glycation in human fingernail clippings with NIR spectroscopy could be an alternative affordable technique for the diagnosis of diabetes mellitus.

摘要

背景

糖化角蛋白可用于监测过去数周内组织的平均葡萄糖暴露水平。在本研究中,我们想探讨近红外(NIR)光谱是否可作为一种非侵入性诊断工具,用于评估糖尿病患者的糖化水平。

方法

本研究共纳入 52 例糖尿病患者和 107 例健康受试者。将健康受试者的少量指甲(n=21)分别用 0.278 mol/L、0.556 mol/L 和 0.833 mol/L 葡萄糖溶液体外糖化,以研究葡萄糖对指甲光谱的影响。随后,使用 Thermo Fisher Antaris II 近红外分析仪和近红外(NIR)化学成像对患者的指甲屑进行分析。采用偏最小二乘判别分析(PLS-DA)对指甲光谱进行分类(糖尿病患者与健康受试者)。

结果

体外糖化导致 4300-4400 cm-1 处的峰变尖锐,5270 cm-1 和 6600-7500 cm-1 处的光谱发生变化。在分析患者指甲时,类似区域也出现了光谱偏差。为了区分大数据集,有必要优化光谱采集参数。必须以 16 cm-1、128 次扫描、4000-7500 cm-1 区域收集光谱。使用标准正态变量、Savitzky-Golay 平滑(7 点)和一阶导数预处理,通过 PLS-DA 模型可实现对测试集 100%正确赋值的预测。

结论

利用 NIR 光谱分析人手指甲屑中的蛋白质糖化可能是一种替代的、经济实惠的糖尿病诊断技术。

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