Metabolic scaling predicts posthepatectomy liver regeneration after accounting for hepatocyte hypertrophy.
Metabolic scaling predicts posthepatectomy liver regeneration after accounting for hepatocyte hypertrophy.
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DOI：
10.1002/lt.24392
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发表时间：
2016-04
期刊：
影响因子：
--
通讯作者：
Periwal V
中科院分区：
文献类型：
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作者：
Young LH;Periwal V
我们利用成人至成人活体肝移植 (A2ALL) 队列中一部分患者的数据，调整了肝切除后肝再生的数学模型。最初的模型解决了静止细胞、启动细胞和增殖细胞数量的变化。我们的适应模型考虑了启动细胞和复制细胞的肥大，并且能够更好地预测肝脏体积。此外，通过建立所有哺乳动物的细胞周期参数大致相同的假设，我们发现仅改变表征代谢负荷的单个参数就可以模拟五种哺乳动物的肝脏再生。总之，我们改进了肝脏再生的数学模型，根据代谢预测了哺乳动物的肝脏再生，并发现了模型参数与肝脏捐赠者的生理测量之间的相关性。
We adapted a mathematical model of post-hepatectomy liver regeneration using data from a subset of patients in the Adult-to-Adult Living Donor Liver Transplantation (A2ALL) cohort. The original model addressed changes in the number of quiescent, primed, and proliferating cells. Our adapted model takes into account hypertrophy of primed and replicating cells, and is better able to predict liver volume. In addition, by building off the hypothesis that cell cycle parameters are approximately the same across all mammals, we found that changing only a single parameter characterizing metabolic load could model liver regeneration in five species of mammals. In conclusion, we improved a mathematical model of liver regeneration, predicted mammalian liver regeneration based on metabolism, and found correlations between model parameters and physiological measurements from liver donors.