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CARS 成像技术有助于早期诊断法布里病的心脏表现。

CARS Imaging Advances Early Diagnosis of Cardiac Manifestation of Fabry Disease.

机构信息

Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Bunsen-Kirchhoff-Str. 11, 44139 Dortmund, Germany.

Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.

出版信息

Int J Mol Sci. 2022 May 11;23(10):5345. doi: 10.3390/ijms23105345.

Abstract

Vibrational spectroscopy can detect characteristic biomolecular signatures and thus has the potential to support diagnostics. Fabry disease (FD) is a lipid disorder disease that leads to accumulations of globotriaosylceramide in different organs, including the heart, which is particularly critical for the patient's prognosis. Effective treatment options are available if initiated at early disease stages, but many patients are late- or under-diagnosed. Since Coherent anti-Stokes Raman (CARS) imaging has a high sensitivity for lipid/protein shifts, we applied CARS as a diagnostic tool to assess cardiac FD manifestation in an FD mouse model. CARS measurements combined with multivariate data analysis, including image preprocessing followed by image clustering and data-driven modeling, allowed for differentiation between FD and control groups. Indeed, CARS identified shifts of lipid/protein content between the two groups in cardiac tissue visually and by subsequent automated bioinformatic discrimination with a mean sensitivity of 90-96%. Of note, this genotype differentiation was successful at a very early time point during disease development when only kidneys are visibly affected by globotriaosylceramide depositions. Altogether, the sensitivity of CARS combined with multivariate analysis allows reliable diagnostic support of early FD organ manifestation and may thus improve diagnosis, prognosis, and possibly therapeutic monitoring of FD.

摘要

振动光谱学可以检测到特征生物分子特征,因此具有支持诊断的潜力。法布里病 (FD) 是一种脂质代谢紊乱疾病,导致神经酰胺三己糖苷在不同器官中积累,包括心脏,这对患者的预后尤其关键。如果在疾病早期阶段开始有效治疗,有很多治疗选择,但许多患者被诊断为晚期或漏诊。由于相干反斯托克斯拉曼(CARS)成像对脂质/蛋白质位移具有很高的灵敏度,因此我们将 CARS 作为一种诊断工具,用于评估 FD 小鼠模型中心脏 FD 的表现。CARS 测量结合多元数据分析,包括图像预处理,然后进行图像聚类和数据驱动建模,允许区分 FD 和对照组。实际上,CARS 通过随后的自动生物信息学区分,通过视觉和脂质/蛋白质含量的变化识别出两组之间的差异,平均灵敏度为 90-96%。值得注意的是,这种基因型差异在疾病发展的早期非常成功,此时只有肾脏受到神经酰胺三己糖苷沉积的明显影响。总之,CARS 的灵敏度结合多元分析可以可靠地支持早期 FD 器官表现的诊断,从而可能改善 FD 的诊断、预后和可能的治疗监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f756/9142043/2ca33f31ef01/ijms-23-05345-g001.jpg

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