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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.
Afiliação
  • Costa Del Amo P; Department of Infectious Disease, Imperial College London, London, United Kingdom.
  • Debebe B; Department of Infectious Disease, Imperial College London, London, United Kingdom.
  • Razavi-Mohseni M; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States.
  • Nakaoka S; Precursory Research for Embryonic Science and Technology (PRESTO), Japan Science and Technology Agency, Kawaguchi, Japan.
  • Worth A; Faculty of Advanced Life Science, Hokkaido University, Sapporo, Japan.
  • Wallace D; The Jenner Institute Laboratories, University of Oxford, Oxford, United Kingdom.
  • Beverley P; Division of Infection and Immunity, University College London, London, United Kingdom.
  • Macallan D; TB Research Centre, National Heart and Lung Research Institute, Imperial College London, London, United Kingdom.
  • Asquith B; Institute for Infection and Immunity, St. George's Hospital, University of London, London, United Kingdom.
Front Immunol ; 11: 573, 2020.
Article em En | MEDLINE | ID: mdl-32322253
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Linfócitos T / Modelos Teóricos Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Linfócitos T / Modelos Teóricos Idioma: En Ano de publicação: 2020 Tipo de documento: Article