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首页> 外文期刊>Journal of neuroinflammation >Bioluminescence in vivo imaging of autoimmune encephalomyelitis predicts disease
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Bioluminescence in vivo imaging of autoimmune encephalomyelitis predicts disease

机译:自身免疫性脑脊髓炎的生物发光体内成像可预测疾病

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Background Experimental autoimmune encephalomyelitis is a widely used animal model to understand not only multiple sclerosis but also basic principles of immunity. The disease is scored typically by observing signs of paralysis, which do not always correspond with pathological changes. Methods Experimental autoimmune encephalomyelitis was induced in transgenic mice expressing an injury responsive luciferase reporter in astrocytes (GFAP-luc). Bioluminescence in the brain and spinal cord was measured non-invasively in living mice. Mice were sacrificed at different time points to evaluate clinical and pathological changes. The correlation between bioluminescence and clinical and pathological EAE was statistically analyzed by Pearson correlation analysis. Results Bioluminescence from the brain and spinal cord correlates strongly with severity of clinical disease and a number of pathological changes in the brain in EAE. Bioluminescence at early time points also predicts severity of disease. Conclusion These results highlight the potential use of bioluminescence imaging to monitor neuroinflammation for rapid drug screening and immunological studies in EAE and suggest that similar approaches could be applied to other animal models of autoimmune and inflammatory disorders.
机译:背景技术实验性自身免疫性脑脊髓炎是一种广泛使用的动物模型,不仅可以理解多发性硬化症,还可以理解免疫的基本原理。通常通过观察麻痹迹象对疾病进行评分,麻痹迹象并不总是与病理变化相对应。方法在星形胶质细胞(GFAP-luc)中表达损伤反应性荧光素酶报告基因的转基因小鼠中诱发实验性自身免疫性脑脊髓炎。在活小鼠中无创地测量了大脑和脊髓中的生物发光。在不同时间点处死小鼠以评估临床和病理变化。通过Pearson相关分析对生物发光与临床和病理EAE之间的相关性进行了统计分析。结果来自脑和脊髓的生物发光与EAE中临床疾病的严重程度以及大脑中的许多病理变化密切相关。在早期时间点的生物发光还可以预测疾病的严重程度。结论这些结果强调了生物发光成像技术在监测EAE的快速药物筛选和免疫学研究中的神经炎症方面的潜在用途,并表明类似的方法可以应用于其他自身免疫和炎症性疾病的动物模型。

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