Literature DB >> 18490722

Kinetics of in vivo proliferation and death of memory and naive CD8 T cells: parameter estimation based on 5-bromo-2'-deoxyuridine incorporation in spleen, lymph nodes, and bone marrow.

Elisabetta Parretta1, Giuliana Cassese, Angela Santoni, John Guardiola, Antonia Vecchio, Francesca Di Rosa.   

Abstract

To study naive and memory CD8 T cell turnover, we performed BrdU incorporation experiments in adult thymectomized C57BL/6 mice and analyzed data in a mathematical framework. The following aspects were novel: 1) we examined the bone marrow, in addition to spleen and lymph nodes, and took into account the sum of cells contained in the three organs; 2) to describe both BrdU-labeling and -delabeling phase, we designed a general mathematical model, in which cell populations were distinguished based on the number of divisions; 3) to find parameters, we used the experimentally determined numbers of total and BrdU(+) cells and the BrdU-labeling coefficient. We treated mice with BrdU continuously via drinking water for up to 42 days, measured by flow cytometry BrdU incorporation at different times, and calculated the numbers of BrdU(+) naive (CD44(int/low)) and memory (CD44(high)) CD8 T cells. By fitting the model to data, we determined proliferation and death rates of both subsets. Rates were confirmed using independent sets of data, including the numbers of BrdU(+) cells at different times after BrdU withdrawal. We found that both doubling time and half-life of the memory population were approximately 9 wk, whereas for the naive subset the doubling time was almost 1 year and the half-life was roughly 7 wk. Our findings suggest that the higher turnover of memory CD8 T cells as compared with naive CD8 T cells is mostly attributable to a higher proliferation rate. Our results have implications for interpreting physiological and abnormal T cell kinetics in humans.

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Year:  2008        PMID: 18490722     DOI: 10.4049/jimmunol.180.11.7230

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  36 in total

1.  Division-linked generation of death-intermediates regulates the numerical stability of memory CD8 T cells.

Authors:  Jeffrey C Nolz; Deepa Rai; Vladimir P Badovinac; John T Harty
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-02       Impact factor: 11.205

2.  Analysis of Cell Proliferation and Homeostasis Using EdU Labeling.

Authors:  Francis A Flomerfelt; Ronald E Gress
Journal:  Methods Mol Biol       Date:  2016

Review 3.  Integrin function in T-cell homing to lymphoid and nonlymphoid sites: getting there and staying there.

Authors:  Christopher C Denucci; Jason S Mitchell; Yoji Shimizu
Journal:  Crit Rev Immunol       Date:  2009       Impact factor: 2.214

4.  The role of T cells in osteoporosis, an update.

Authors:  Wen Zhao; Yuying Liu; Catherine M Cahill; Wenlu Yang; Jack T Rogers; Xudong Huang
Journal:  Int J Clin Exp Pathol       Date:  2009-05-20

5.  Dissecting the requirements for maintenance of the CMV-specific memory T-cell pool.

Authors:  Andrea I Loewendorf; Ramon Arens; Jared F Purton; Charles D Surh; Chris A Benedict
Journal:  Viral Immunol       Date:  2011-07-01       Impact factor: 2.257

6.  Interleukin-7 enhances memory CD8(+) T-cell recall responses in health but its activity is impaired in human immunodeficiency virus infection.

Authors:  Alison M O'Connor; Angela M Crawley; Jonathan B Angel
Journal:  Immunology       Date:  2010-12       Impact factor: 7.397

7.  Organ protective mechanisms common to extremes of physiology: a window through hibernation biology.

Authors:  Quintin J Quinones; Qing Ma; Zhiquan Zhang; Brian M Barnes; Mihai V Podgoreanu
Journal:  Integr Comp Biol       Date:  2014-05-21       Impact factor: 3.326

8.  A mechanistic model for bromodeoxyuridine dilution naturally explains labelling data of self-renewing T cell populations.

Authors:  Vitaly V Ganusov; Rob J De Boer
Journal:  J R Soc Interface       Date:  2012-11-08       Impact factor: 4.118

9.  Balance between NF-κB p100 and p52 regulates T cell costimulation dependence.

Authors:  Maria Letizia Giardino Torchia; Dietrich B Conze; Dragana Jankovic; Jonathan D Ashwell
Journal:  J Immunol       Date:  2012-12-17       Impact factor: 5.422

10.  Explicit kinetic heterogeneity: mathematical models for interpretation of deuterium labeling of heterogeneous cell populations.

Authors:  Vitaly V Ganusov; José A M Borghans; Rob J De Boer
Journal:  PLoS Comput Biol       Date:  2010-02-05       Impact factor: 4.475

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