A comparison between the performance of Weibull and Log-logistic Aging Models on Saccharomyces cerevisiae lifespan data
A comparison between the performance of Weibull and Log-logistic Aging Models on Saccharomyces cerevisiae lifespan data
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Weibull 和 Log-logistic 老化模型在酿酒酵母寿命数据上的性能比较
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发表时间：
2020
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通讯作者：
E. Güven
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作者：
E. Güven
通常使用最适合的衰老数学模型来研究经验寿命数据集。在这项研究中，我们将注意力集中在芽殖酵母的寿命和最适合的衰老模型的确定上。我们研究了酵母寿命数据集中模型选择的影响以及衰老的双参数威布尔 (WE) 和对数逻辑 (LL) 模型的拟合结果。这两种模型在衰老研究中都得到了广泛的研究和实施。它们表现出与生存函数类似的趋势，即它们对应于随着时间的推移先增加然后减少的死亡率。到目前为止，研究通常是用这些模型对地中海果蝇、果蝇、家蝇、面粉甲虫和人类进行的。与以往的研究不同，我们重点关注拟合结果和校准对经验寿命数据样本的影响。正如预期的那样，这两个模型可以相互替代。然而，我们还发现 WE 模型对酵母寿命数据的拟合效果显着优于 LL 模型，R 2 = 0.86。这一发现在酵母老化研究中尤其重要，因为通常应用生存模型，因此人们可以看到哪种模型最适合酵母数据。在本文中，进行了比较和开发，并通过实验室 BY4741 和 BY4742 野生型参考菌株的酵母复制寿命数据集的模型比较证明了该方法的潜力。我们的研究强调，解释实验寿命的模型拟合结果应考虑模型选择和结果变化。
Empirical lifespan datasets are often studied with the best-fitted mathematical model for aging. In this study, we focus our attention to the budding yeast S. cerevisiae lifespan and the determination of the best-fitted model of aging. We investigate the influence of model selection in yeast lifespan datasets and the fitting outcomes of the two-parameter Weibull (WE) and Log-logistic (LL) models of aging. Both of these models are commonly studied and implemented in aging research. They show similar tendency as a survival function that they correspond to mortality rates that increase, and then decrease, with time. Studies so far has been usually done with medflies, Drosophila, house flies, flour beetles, and humans with these models. Different than previous research, we focus our attention on the influence of fitting results and calibrations on empirical lifespan data samples. As expected both of the models could be used as a substitute of each other. However, we also find WE model fits the yeast lifespan data significantly better than LL model with an R 2 = 0.86. This finding is especially important in yeast aging study because of typically survival models are applied and therefore one can see which model fits the yeast data best. In this article, comparisons are done and developed and the potential of the approach is demonstrated with a model comparison of yeast replicative lifespan datasets of the laboratory BY4741 and BY4742 wildtype reference strains. Our study highlights that interpreting model fitting results of experimental lifespans should take model selection and resulted variation into account.