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基于振动光谱的肝脂肪变性定量分析。

Vibrational spectroscopy-based quantification of liver steatosis.

机构信息

Faculty of Chemistry, Jagiellonian University, Gronostajowa 2, 30-387 Krakow, Poland; Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, Bobrzynskiego 14, 30-348 Krakow, Poland.

Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, Bobrzynskiego 14, 30-348 Krakow, Poland.

出版信息

Biochim Biophys Acta Mol Basis Dis. 2019 Nov 1;1865(11):165526. doi: 10.1016/j.bbadis.2019.08.002. Epub 2019 Aug 6.

Abstract

The liver plays a central role in lipid metabolism, and abnormal lipid accumulation in the liver is a key feature of Non-Alcoholic Fatty Liver Disease. In experimental studies, quantification of liver steatosis is commonly based on lipids staining or biochemical analysis. Here, we present a spectroscopic approach for quantitative analysis of the lipid content in the freeze-dried liver. The method is based on vibrational spectroscopy (Raman and infrared) measurements applied for Partial Least Squares (PLS) regression modeling. The obtained PLS models show a good correlation of the spectroscopic data with the reference histological evaluation of steatosis based on Oil Red O (ORO)-stained images of liver cross sections. Vibrational spectroscopy with PLS-based modeling described here represents a useful approach for the fast assessment of the liver steatosis in a small sample of freeze-dried liver tissue. In conclusion, our work demonstrates the easy-to-use method that can be applied in laboratory routine as a beneficial alternative to the established ORO staining.

摘要

肝脏在脂质代谢中起着核心作用,肝脏中异常的脂质积累是非酒精性脂肪肝的一个关键特征。在实验研究中,肝脂肪变性的定量通常基于脂质染色或生化分析。在这里,我们提出了一种用于定量分析冻干肝中脂质含量的光谱方法。该方法基于振动光谱(拉曼和红外)测量,应用于偏最小二乘(PLS)回归建模。所获得的 PLS 模型显示,光谱数据与基于肝切片的油红 O(ORO)染色图像的肝脂肪变性的参考组织学评估具有良好的相关性。这里描述的基于 PLS 的振动光谱建模代表了一种快速评估小样本冻干肝组织脂肪变性的有用方法。总之,我们的工作证明了这种易于使用的方法可以作为一种替代传统 ORO 染色的方法,在实验室常规中得到应用。

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