Shin Eui Seok, Sang Park Yun, Nam Sung Hyun
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:5506-5509. doi: 10.1109/EMBC.2019.8857867.
Advanced glycation end products (AGE) are produced by non-enzymatic reaction between glucose and biomolecules including proteins. AGE accumulation is known to cause alternations of structure and function in proteins and to be related with an increased risk of diabetic complications, cardiovascular diseases, and aging processes. Conventionally, AGE accumulation has been estimated by measuring auto fluorescence level using ultraviolet (UV) light excitation. In this study, we investigated an alternative approach to estimate auto fluorescence level and thus AGE accumulation in in vivo human skin using NIR (Near-Infrared) spectroscopy. To examine spectral features attributed to glycation in proteins, we first analyzed in vitro NIR spectra from native and glycated protein. Then, we further examined NIR spectra of in vivo skin from human subjects, and estimated their auto fluorescence level using several multivariate regression approaches. Our analysis in in vitro spectra from native and glycated albumin revealed that glycation may affect -CH and -NH stretching. Furthermore, we elucidated that those bands for -CH and -NH may be responsible for the variation in auto fluorescence level in human skin NIR spectra. Finally, auto fluorescence level was estimated from those NIR spectra using several multivariate regression methods: principal component regression (PCR), partial least square regression (PLS-R) and support vector regression (SVR). Among the three methods, SVR showed the best performance. We demonstrated in this study that NIR spectroscopy can be used as an alternative non-invasive method to estimate AGE accumulation in in vivo human skin tissue without UV radiation on skin tissue.
晚期糖基化终末产物(AGE)是由葡萄糖与包括蛋白质在内的生物分子之间的非酶促反应产生的。已知AGE的积累会导致蛋白质结构和功能的改变,并与糖尿病并发症、心血管疾病和衰老过程的风险增加有关。传统上,AGE的积累是通过使用紫外线(UV)激发测量自发荧光水平来估计的。在本研究中,我们研究了一种替代方法,即使用近红外(NIR)光谱来估计体内人体皮肤中的自发荧光水平,从而估计AGE的积累。为了检查蛋白质糖基化所具有的光谱特征,我们首先分析了天然蛋白质和糖基化蛋白质的体外近红外光谱。然后,我们进一步检查了人类受试者体内皮肤的近红外光谱,并使用几种多元回归方法估计了它们的自发荧光水平。我们对天然白蛋白和糖基化白蛋白的体外光谱分析表明,糖基化可能会影响-CH和-NH的伸缩振动。此外,我们阐明了-CH和-NH的那些谱带可能是导致人体皮肤近红外光谱中自发荧光水平变化的原因。最后,使用几种多元回归方法从这些近红外光谱中估计自发荧光水平:主成分回归(PCR)、偏最小二乘回归(PLS-R)和支持向量回归(SVR)。在这三种方法中,SVR表现最佳。我们在本研究中证明,近红外光谱可以用作一种替代的非侵入性方法,在不向皮肤组织施加紫外线辐射的情况下估计体内人体皮肤组织中AGE的积累。