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The Rules of Human T Cell Fate in vivo
The processes governing lymphocyte fate (division, differentiation, and death), are typically assumed to be independent of cell age. This assumption has been challenged by a series of elegant studies which clearly show that, for murine cells in vitro, lymphocyte fate is age-dependent and that younge...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156550/ https://www.ncbi.nlm.nih.gov/pubmed/32322253 http://dx.doi.org/10.3389/fimmu.2020.00573 |
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author | Costa del Amo, Pedro Debebe, Bisrat Razavi-Mohseni, Milad Nakaoka, Shinji Worth, Andrew Wallace, Diana Beverley, Peter Macallan, Derek Asquith, Becca |
author_facet | Costa del Amo, Pedro Debebe, Bisrat Razavi-Mohseni, Milad Nakaoka, Shinji Worth, Andrew Wallace, Diana Beverley, Peter Macallan, Derek Asquith, Becca |
author_sort | Costa del Amo, Pedro |
collection | PubMed |
description | The processes governing lymphocyte fate (division, differentiation, and death), are typically assumed to be independent of cell age. This assumption has been challenged by a series of elegant studies which clearly show that, for murine cells in vitro, lymphocyte fate is age-dependent and that younger cells (i.e., cells which have recently divided) are less likely to divide or die. Here we investigate whether the same rules determine human T cell fate in vivo. We combined data from in vivo stable isotope labeling in healthy humans with stochastic, agent-based mathematical modeling. We show firstly that the choice of model paradigm has a large impact on parameter estimates obtained using stable isotope labeling i.e., different models fitted to the same data can yield very different estimates of T cell lifespan. Secondly, we found no evidence in humans in vivo to support the model in which younger T cells are less likely to divide or die. This age-dependent model never provided the best description of isotope labeling; this was true for naïve and memory, CD4(+) and CD8(+) T cells. Furthermore, this age-dependent model also failed to predict an independent data set in which the link between division and death was explored using Annexin V and deuterated glucose. In contrast, the age-independent model provided the best description of both naïve and memory T cell dynamics and was also able to predict the independent dataset. |
format | Online Article Text |
id | pubmed-7156550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71565502020-04-22 The Rules of Human T Cell Fate in vivo Costa del Amo, Pedro Debebe, Bisrat Razavi-Mohseni, Milad Nakaoka, Shinji Worth, Andrew Wallace, Diana Beverley, Peter Macallan, Derek Asquith, Becca Front Immunol Immunology The processes governing lymphocyte fate (division, differentiation, and death), are typically assumed to be independent of cell age. This assumption has been challenged by a series of elegant studies which clearly show that, for murine cells in vitro, lymphocyte fate is age-dependent and that younger cells (i.e., cells which have recently divided) are less likely to divide or die. Here we investigate whether the same rules determine human T cell fate in vivo. We combined data from in vivo stable isotope labeling in healthy humans with stochastic, agent-based mathematical modeling. We show firstly that the choice of model paradigm has a large impact on parameter estimates obtained using stable isotope labeling i.e., different models fitted to the same data can yield very different estimates of T cell lifespan. Secondly, we found no evidence in humans in vivo to support the model in which younger T cells are less likely to divide or die. This age-dependent model never provided the best description of isotope labeling; this was true for naïve and memory, CD4(+) and CD8(+) T cells. Furthermore, this age-dependent model also failed to predict an independent data set in which the link between division and death was explored using Annexin V and deuterated glucose. In contrast, the age-independent model provided the best description of both naïve and memory T cell dynamics and was also able to predict the independent dataset. Frontiers Media S.A. 2020-04-08 /pmc/articles/PMC7156550/ /pubmed/32322253 http://dx.doi.org/10.3389/fimmu.2020.00573 Text en Copyright © 2020 Costa del Amo, Debebe, Razavi-Mohseni, Nakaoka, Worth, Wallace, Beverley, Macallan 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) and the copyright owner(s) 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 Costa del Amo, Pedro Debebe, Bisrat Razavi-Mohseni, Milad Nakaoka, Shinji Worth, Andrew Wallace, Diana Beverley, Peter Macallan, Derek Asquith, Becca The Rules of Human T Cell Fate in vivo |
title | The Rules of Human T Cell Fate in vivo |
title_full | The Rules of Human T Cell Fate in vivo |
title_fullStr | The Rules of Human T Cell Fate in vivo |
title_full_unstemmed | The Rules of Human T Cell Fate in vivo |
title_short | The Rules of Human T Cell Fate in vivo |
title_sort | rules of human t cell fate in vivo |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156550/ https://www.ncbi.nlm.nih.gov/pubmed/32322253 http://dx.doi.org/10.3389/fimmu.2020.00573 |
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