Faculdade de Engenharia, Universidade do Porto, Portugal.
Dose Response. 2012 Mar 19;11(2):191-206. doi: 10.2203/dose-response.11-049.Tavares. Print 2013.
The use of computational methods to improve the understanding of biological responses to various types of radiation is an approach where multiple parameters can be modelled and a variety of data is generated. This study compares cellular effects modelled for low absorbed doses against high absorbed doses. The authors hypothesized that low and high absorbed doses would contribute to cell killing via different mechanisms, potentially impacting on targeted tumour radiotherapy outcomes. Cellular kinetics following irradiation with selective low- and high-linear energy transfer (LET) particles were investigated using the Virtual Cell (VC) radiobiology algorithm. Two different cell types were assessed using the VC radiobiology algorithm: human fibroblasts and human crypt cells. The results showed that at lower doses (0.01 to 0.2 Gy), all radiation sources used were equally able to induce cell death (p>0.05, ANOVA). On the other hand, at higher doses (1.0 to 8.0 Gy), the radiation response was LET and dose dependent (p<0.05, ANOVA). The data obtained suggests that the computational methods used might provide some insight into the cellular effects following irradiation. The results also suggest that it may be necessary to re-evaluate cellular radiation-induced effects, particularly at low doses that could affect therapeutic effectiveness.
利用计算方法来提高对各种类型辐射的生物反应的理解是一种可以对多个参数进行建模并生成多种数据的方法。本研究比较了针对低吸收剂量和高吸收剂量建模的细胞效应。作者假设低吸收剂量和高吸收剂量通过不同的机制导致细胞杀伤，这可能对靶向肿瘤放疗结果产生影响。使用虚拟细胞（VC）放射生物学算法研究了选择性低和高线性能量转移（LET）粒子照射后的细胞动力学。使用 VC 放射生物学算法评估了两种不同的细胞类型：人成纤维细胞和人隐窝细胞。结果表明，在较低剂量（0.01 至 0.2 Gy）下，所有使用的辐射源均能同等地诱导细胞死亡（p＞0.05，ANOVA）。另一方面，在较高剂量（1.0 至 8.0 Gy）下，辐射反应是 LET 和剂量依赖性的（p＜0.05，ANOVA）。获得的数据表明，所使用的计算方法可能会对照射后的细胞效应提供一些见解。结果还表明，可能需要重新评估细胞辐射诱导的效应，特别是在可能影响治疗效果的低剂量下。
