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通过深入了解数学并应用房室模型,使用视黄醇同位素稀释法可以更好地预测维生素 A 全身储存量。

Better Predictions of Vitamin A Total Body Stores by the Retinol Isotope Dilution Method Are Possible with Deeper Understanding of the Mathematics and by Applying Compartmental Modeling.

机构信息

Department of Nutritional Sciences, College of Health and Human Development, The Pennsylvania State University, University Park, PA, USA.

出版信息

J Nutr. 2020 May 1;150(5):989-993. doi: 10.1093/jn/nxz321.

Abstract

Retinol isotope dilution (RID) is a well-accepted technique for assessing vitamin A status [i.e., total body stores (TBS)]. Here, in an effort to increase understanding of the method, we briefly review RID equations and discuss their included variables and their coefficients (i.e., assumptions that account for the efficiency of absorption of an orally administered tracer dose of vitamin A, mixing of the dose with endogenous vitamin A, and loss due to utilization). Then, we focus on contributions of another technique, model-based compartmental analysis and especially the "super-person" approach, that advance the RID method. Specifically, we explain how adding this modeling component, which involves taking 1 additional blood sample from each subject, provides population-specific estimates for the RID coefficients that can be used in the equation instead of values derived from the literature; using model-derived RID coefficients results in improved confidence in predictions of TBS for both a group and its individuals. We note that work is still needed to identify the optimal time for applying RID in different groups and to quantify vitamin A absorption efficiency. Finally, we mention other contributions of modeling, including the use of theoretical data to verify the accuracy of RID predictions and the additional knowledge that model-based compartmental analysis provides about whole-body vitamin A kinetics.

摘要

视黄醇同位素稀释 (RID) 是评估维生素 A 状态的一种公认技术[即,全身储存量 (TBS)]。在这里,为了增进对该方法的理解,我们简要回顾了 RID 方程,并讨论了其包含的变量及其系数(即,用于解释口服给予的示踪剂量的维生素 A 的吸收效率、剂量与内源性维生素 A 的混合以及由于利用而导致的损失的假设)。然后,我们重点介绍了另一种技术,基于模型的房室分析,特别是“超级个体”方法,该方法对 RID 方法进行了改进。具体来说,我们解释了如何添加此建模组件,这涉及从每个研究对象额外采集 1 个血样,提供 RID 系数的人群特异性估计值,而不是从文献中得出的值;使用模型得出的 RID 系数可以提高对群体及其个体的 TBS 预测的置信度。我们注意到,仍需要确定在不同人群中应用 RID 的最佳时间,并量化维生素 A 吸收效率。最后,我们提到了建模的其他贡献,包括使用理论数据来验证 RID 预测的准确性,以及基于模型的房室分析提供的有关全身维生素 A 动力学的更多知识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99ed/7198291/090380cc097f/nxz321fig1.jpg

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