Suryadevara Vidyani, Nazeer Shaiju S, Sreedhar Hari, Adelaja Oluwatobi, Kajdacsy-Balla André, Natarajan Viswanathan, Walsh Michael J
Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
Department of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Biomed Opt Express. 2020 Jun 25;11(7):3996-4007. doi: 10.1364/BOE.394730. eCollection 2020 Jul 1.
Tissue fibrosis is a progressive and destructive disease process that can occur in many different organs including the liver, kidney, skin, and lungs. Fibrosis is typically initiated by inflammation as a result of chronic insults such as infection, chemicals and autoimmune diseases. Current approaches to examine organ fibrosis are limited to radiological and histological analyses. Infrared spectroscopic imaging offers a potential alternative approach to gain insight into biochemical changes associated with fibrosis progression. In this study, we demonstrate that IR imaging of a mouse model of pulmonary fibrosis can identify biochemical changes observed with fibrosis progression and the beginning of resolution using K-means analysis, spectral ratios and multivariate data analysis. This study demonstrates that IR imaging may be a useful approach to understand the biochemical events associated with fibrosis initiation, progression and resolution for both the clinical setting and for assessing novel anti-fibrotic drugs in a model system.
组织纤维化是一种进行性的破坏性疾病过程,可发生于包括肝脏、肾脏、皮肤和肺在内的许多不同器官。纤维化通常由感染、化学物质和自身免疫性疾病等慢性损伤引起的炎症引发。目前检查器官纤维化的方法仅限于放射学和组织学分析。红外光谱成像提供了一种潜在的替代方法,以深入了解与纤维化进展相关的生化变化。在本研究中,我们证明,使用K均值分析、光谱比率和多变量数据分析,对肺纤维化小鼠模型进行红外成像,可以识别随着纤维化进展和开始消退而观察到的生化变化。本研究表明,红外成像可能是一种有用的方法,可用于了解临床环境中与纤维化起始、进展和消退相关的生化事件,以及在模型系统中评估新型抗纤维化药物。