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Changing the Risk Paradigms can be Good for Our Health: J-Shaped, Linear and Threshold Dose-Response Models

机译:更改风险范例可能对我们的健康有益:J型,线性和阈值剂量响应模型

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Both the linear (at low doses)-no-threshold (LNT) and the threshold models ( S -shapes) dose-response lead to no benefit from low exposure. We propose three new models that allow and include, but do not require – unlike LNT and S -shaped models — this strong assumption. We also provide the means to calculate benefits associated with bi-phasic biological behaviors, when they occur and propose: Three hormetic (phasic) models: the J -shaped, inverse J -shaped, the min-max , and Method for calculating the direct benefits associated with the J and inverse J -shaped models. The J -shaped and min-max models for mutagens and carcinogenic agents include an experimentally justified repair stage for toxic and carcinogenic damage. We link these to stochastic transition models for cancer and show how abrupt transitions in cancer hazard rates, as functions of exposure concentrations and durations, can emerge naturally in large cell populations even when the rates of cell-level events increase smoothly (e.g., proportionally) with concentration. In this very general family of models, J -shaped dose-response curves emerge. These results are universal, i.e., independent of specific biological details represented by the stochastic transition networks. Thus, using them suggests a more complete and realistic way to assess risks at low doses or dose-rates.
机译:线性(低剂量)无阈值(LNT)和阈值模型(S形)剂量响应都无法从低暴露量中受益。我们提出了三个新模型,这些模型允许和包括但不要求(与LNT和S形模型不同),这种强有力的假设。当出现双相生物行为时,我们还提供了计算与双相生物行为有关的收益的方法,并提出了以下建议:三种钟形(相)模型:J形,反J形,min-max和计算直接与J和逆J形模型相关的优势。诱变剂和致癌剂的J形模型和min-max模型包括针对毒性和致癌性损害的实验上合理的修复阶段。我们将它们与癌症的随机转变模型联系起来,并显示出即使暴露于细胞水平事件的比率平稳(例如成比例增加)的情况下,随着暴露浓度和持续时间的变化,癌症危险率的突然转变如何自然地出现在大细胞群中集中。在这个非常普通的模型系列中,出现了J型剂量反应曲线。这些结果是普遍的,即独立于由随机过渡网络表示的特定生物学细节。因此,使用它们建议以更完整和现实的方式评估低剂量或低剂量率风险。

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