Lahoz-Beneytez Julio, Schaller Stephan, Macallan Derek, Eissing Thomas, Niederalt Christoph, Asquith Becca
Computational Systems Biology, Bayer AG, Leverkusen, Germany.
Theoretical Immunology Group, Faculty of Medicine, Imperial College London, London, UK.
Front Immunol. 2017 Apr 25;8:474. doi: 10.3389/fimmu.2017.00474. eCollection 2017.
[6,6-H]-glucose labeling is a state-of-the-art technique for quantifying cell proliferation and cell disappearance in humans. However, there are discrepancies between estimates of T cell proliferation reported in short (1-day) versus long (7-day) H-glucose studies and very-long (9-week) HO studies. It has been suggested that these discrepancies arise from underestimation of true glucose exposure from intermittent blood sampling in the 1-day study. Label availability in glucose studies is normally approximated by a "square pulse" (Sq pulse). Since the body glucose pool is small and turns over rapidly, the availability of labeled glucose can be subject to large fluctuations and the Sq pulse approximation may be very inaccurate. Here, we model the pharmacokinetics of exogenous labeled glucose using a physiologically based pharmacokinetic (PBPK) model to assess the impact of a more complete description of label availability as a function of time on estimates of CD4+ and CD8+ T cell proliferation and disappearance. The model enabled us to predict the exposure to labeled glucose during the fasting and de-labeling phases, to capture the fluctuations of labeled glucose availability caused by the intake of food or high-glucose beverages, and to recalculate the proliferation and death rates of immune cells. The PBPK model was used to reanalyze experimental data from three previously published studies using different labeling protocols. Although using the PBPK enrichment profile decreased the 1-day proliferation estimates by about 4 and 7% for CD4 and CD8+ T cells, respectively, differences with the 7-day and 9-week studies remained significant. We conclude that the approximations underlying the "square pulse" approach-recently suggested as the most plausible hypothesis-only explain a component of the discrepancy in published T cell proliferation rate estimates.
[6,6-H]-葡萄糖标记是一种用于量化人体细胞增殖和细胞消失的先进技术。然而,在短期(1天)与长期(7天)H-葡萄糖研究以及极长期(9周)HO研究中报告的T细胞增殖估计值之间存在差异。有人认为,这些差异源于1天研究中间歇性采血对真实葡萄糖暴露的低估。葡萄糖研究中的标记可用性通常通过“方波脉冲”(Sq脉冲)来近似。由于人体葡萄糖池较小且周转迅速,标记葡萄糖的可用性可能会有很大波动,并且Sq脉冲近似可能非常不准确。在这里,我们使用基于生理的药代动力学(PBPK)模型对外源标记葡萄糖的药代动力学进行建模,以评估将标记可用性作为时间函数的更完整描述对CD4+和CD8+ T细胞增殖及消失估计值的影响。该模型使我们能够预测禁食和去标记阶段对标记葡萄糖的暴露,捕捉因摄入食物或高糖饮料导致的标记葡萄糖可用性波动,并重新计算免疫细胞的增殖和死亡率。PBPK模型用于重新分析来自三项先前发表的使用不同标记方案的研究的实验数据。尽管使用PBPK富集曲线分别使CD4和CD8+ T细胞的1天增殖估计值降低了约4%和7%,但与7天和9周研究的差异仍然显著。我们得出结论,“方波脉冲”方法所基于的近似——最近被认为是最合理的假设——仅解释了已发表的T细胞增殖率估计值差异的一部分。