Multi-excitation fluorescence spectroscopy for analysis of non-alcoholic fatty liver disease.

Multi-excitation fluorescence spectroscopy for analysis of non-alcoholic fatty liver disease.
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用于分析非酒精性脂肪肝疾病的多激发荧光光谱。

DOI:
10.1002/lsm.21064
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发表时间:
2011
影响因子:
2.4
通讯作者:
Sauvage VR
Sauvage VR
中科院分区:
医学3区
文献类型:
--
作者:
Sauvage VR

文献摘要

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背景和目的非酒精性脂肪性肝病(NAFLD)发病率的增加及其导致的肝硬化进展预计将成为肝移植的主要原因。这将加剧器官供体短缺,并意味着“边缘”脂肪肝移植更频繁地使用。自体荧光光谱法是一种快速,客观,非破坏性的方法来检测内源性荧光团分布的变化,并可能被证明是一个有价值的工具NAFLD诊断和移植graftassessment.Materials和MethodsA系统的构建由两个激光二极管,提供激发光在375和405 nm的光纤探针,和成像光谱仪系统。这用于区分从患有不同严重程度(健康、轻度脂肪变性和脂肪性肝炎)的NAFLD小鼠的收获肝脏获得的荧光光谱。将荧光数据输入用于疾病分类的稀疏多类概率算法。结果TBARS和ALT能区分轻度脂肪肝组和对照组(P≤ 0. 0 2 8),但不能区分轻度脂肪肝组和对照组(P <0. 0 1)。结论荧光光谱法是一种很有前途的分析肝脏病变组织的方法。激光外科医学43:392-400,2011年。© 2011 Wiley利斯公司
Background and ObjectivesThe increasing incidence of non‐alcoholic fatty liver diseases (NAFLD) and the consequent progression to cirrhosis is expected to become a major cause of liver transplantation. This will exacerbate the organ donor shortage and mean that ‘marginal’ fatty liver grafts are more frequently used. Autofluorescence spectroscopy is a fast, objective, and non‐destructive method to detect change in the endogenous fluorophores distribution and could prove to be a valuable tool for NAFLD diagnosis and transplant graft assessment.Materials and MethodsA system was constructed consisting of a fibre probe with two laser diodes that provided excitation light at 375 and 405 nm, and an imaging spectrograph system. This was used to distinguish fluorescence spectra acquired from the harvested livers from mice with NAFLD of differing severity (healthy, mild steatotic and steatohepatitic). The fluorescence data were entered into a sparse multiclass probabilistic algorithm for disease classification. Histopathology, thiobarbituric acid reactive substances (TBARS) and alanine transaminase (ALT) assays were conducted in addition to the fluorescence measurementsResultsTBARS and ALT assays enabled differentiation of the steatohepatitic group from the mild steatosis and control groups (P≤ 0.028) but failed to separate the mild steatotic group from the control group. The three groups were all clearly differentiated from each other using fluorescence spectroscopy, and classification accuracy was found to be 95%.ConclusionFluorescence spectroscopy appears to be a promising approach for the analysis of diseased liver tissue. Lasers Surg. Med. 43:392–400, 2011. © 2011 Wiley‐Liss, Inc.