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体内暴露于紫外线-B 后大鼠晶状体中活性半胱天冬酶-3 蛋白的时间演变建模。

Modelling the time evolution of active caspase-3 protein in the rat lens after in vivo exposure to ultraviolet radiation-B.

作者信息

Talebizadeh Nooshin, Yu Zhaohua, Kronschläger Martin, Söderberg Per

机构信息

Gullstrand lab of Ophthalmology, Department of Neuroscience, Uppsala University, Uppsala, Sweden.

出版信息

PLoS One. 2014 Sep 22;9(9):e106926. doi: 10.1371/journal.pone.0106926. eCollection 2014.

Abstract

PURPOSE

To introduce a model for the time evolution of active caspase-3 protein expression in albino rat lens up to 24 hours after in vivo exposure to low dose UVR in the 300 nm wavelength region (UVR-300 nm).

METHODS

Forty Sprague-Dawley rats were unilaterally exposed in vivo to 1 kJ/m2 UVR-300 nm for 15 minutes. At 0.5, 8, 16, and 24 hours after the UVR exposure, the exposed and contralateral not-exposed lenses were removed and processed for immunohistochemistry. The differences in the probability of active caspase-3 expression at four different time points after exposure were used to determine the time evolution of active caspase-3 expression. A logistic model was introduced for the expression of active caspase-3. The parameters for the exposed and the not exposed lenses were estimated for the observation time points.

RESULTS

The exposure to UVR-300 nm impacted on the parameters of the logistic model. Further, the parameters of the model varied with time after exposure to UVR-300 nm.

CONCLUSION

The logistic model predicts the impact of exposure to UVR-300 nm on the spatial distribution of probability of active caspase-3 protein expression, depending on time.

摘要

目的

引入一个模型,用于研究白化大鼠晶状体在体内暴露于300nm波长区域的低剂量紫外线辐射(UVR - 300nm)后长达24小时内活性半胱天冬酶 - 3蛋白表达的时间演变。

方法

40只Sprague - Dawley大鼠单侧体内暴露于1kJ/m²的UVR - 300nm下15分钟。在紫外线辐射后的0.5、8、16和24小时,取出暴露侧和对侧未暴露的晶状体,进行免疫组织化学处理。利用暴露后四个不同时间点活性半胱天冬酶 - 3表达概率的差异来确定活性半胱天冬酶 - 3表达的时间演变。引入一个逻辑模型来描述活性半胱天冬酶 - 3的表达。对观察时间点估计暴露侧和未暴露侧晶状体的模型参数。

结果

暴露于UVR - 300nm影响了逻辑模型的参数。此外,模型参数在暴露于UVR - 300nm后随时间变化。

结论

逻辑模型可预测暴露于UVR - 300nm对活性半胱天冬酶 - 3蛋白表达概率空间分布的影响,具体取决于时间。

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