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Physiologically Based Simulations of Deuterated Glucose for Quantifying Cell Turnover in Humans

In vivo [6,6-(2)H(2)]-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) (2)H(2)-glucose studies and very-long (...

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Autores principales: Lahoz-Beneytez, Julio, Schaller, Stephan, Macallan, Derek, Eissing, Thomas, Niederalt, Christoph, Asquith, Becca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5403812/
https://www.ncbi.nlm.nih.gov/pubmed/28487698
http://dx.doi.org/10.3389/fimmu.2017.00474
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author Lahoz-Beneytez, Julio
Schaller, Stephan
Macallan, Derek
Eissing, Thomas
Niederalt, Christoph
Asquith, Becca
author_facet Lahoz-Beneytez, Julio
Schaller, Stephan
Macallan, Derek
Eissing, Thomas
Niederalt, Christoph
Asquith, Becca
author_sort Lahoz-Beneytez, Julio
collection PubMed
description In vivo [6,6-(2)H(2)]-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) (2)H(2)-glucose studies and very-long (9-week) (2)H(2)O 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.
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spelling pubmed-54038122017-05-09 Physiologically Based Simulations of Deuterated Glucose for Quantifying Cell Turnover in Humans Lahoz-Beneytez, Julio Schaller, Stephan Macallan, Derek Eissing, Thomas Niederalt, Christoph Asquith, Becca Front Immunol Immunology In vivo [6,6-(2)H(2)]-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) (2)H(2)-glucose studies and very-long (9-week) (2)H(2)O 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. Frontiers Media S.A. 2017-04-25 /pmc/articles/PMC5403812/ /pubmed/28487698 http://dx.doi.org/10.3389/fimmu.2017.00474 Text en Copyright © 2017 Lahoz-Beneytez, Schaller, Macallan, Eissing, Niederalt and Asquith. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Lahoz-Beneytez, Julio
Schaller, Stephan
Macallan, Derek
Eissing, Thomas
Niederalt, Christoph
Asquith, Becca
Physiologically Based Simulations of Deuterated Glucose for Quantifying Cell Turnover in Humans
title Physiologically Based Simulations of Deuterated Glucose for Quantifying Cell Turnover in Humans
title_full Physiologically Based Simulations of Deuterated Glucose for Quantifying Cell Turnover in Humans
title_fullStr Physiologically Based Simulations of Deuterated Glucose for Quantifying Cell Turnover in Humans
title_full_unstemmed Physiologically Based Simulations of Deuterated Glucose for Quantifying Cell Turnover in Humans
title_short Physiologically Based Simulations of Deuterated Glucose for Quantifying Cell Turnover in Humans
title_sort physiologically based simulations of deuterated glucose for quantifying cell turnover in humans
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5403812/
https://www.ncbi.nlm.nih.gov/pubmed/28487698
http://dx.doi.org/10.3389/fimmu.2017.00474
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