Book contents
- Frontmatter
- Contents
- Introduction
- Participants
- Non-Participant Contributors
- Part 1 Transmissible diseases with long development times and vaccination strategies
- Part 2 Dynamics of immunity (development of disease within individuals)
- Evolutionary dynamics of HIV infections
- Statistical models for analysis of longitudinal, CD4 data
- Some mathematical and statistical issues in assessing the evidence for acquired immunity to schistosomiasis
- Virulence and transmissibility in P. falciparum malaria
- Invited Discussion
- Invited Discussion
- Invited Discussion
- Lifespan of human T lymphocytes
- Diversity and virulence thresholds in AIDS
- Statistical analysis of AZT effect on CD4 cell counts in HIV disease
- Modeling progression of HIV infection: staging and the Chicago MACS cohort
- The interpretation of immunoepidemiological data for helminth infections
- The distribution of malaria parasites in the mosquito vector: consequences for assessing infection intensity in the field
- When susceptible and infective human hosts are not equally attractive to mosquitoes: a generalisation of the Ross malaria model
- The dynamics of blood stage malaria: modelling strain specific and strain transcending immunity
- Part 3 Population heterogeneity (mixing)
- Part 4 Consequences of treatment interventions
- Part 5 Prediction
Lifespan of human T lymphocytes
Published online by Cambridge University Press: 04 August 2010
- Frontmatter
- Contents
- Introduction
- Participants
- Non-Participant Contributors
- Part 1 Transmissible diseases with long development times and vaccination strategies
- Part 2 Dynamics of immunity (development of disease within individuals)
- Evolutionary dynamics of HIV infections
- Statistical models for analysis of longitudinal, CD4 data
- Some mathematical and statistical issues in assessing the evidence for acquired immunity to schistosomiasis
- Virulence and transmissibility in P. falciparum malaria
- Invited Discussion
- Invited Discussion
- Invited Discussion
- Lifespan of human T lymphocytes
- Diversity and virulence thresholds in AIDS
- Statistical analysis of AZT effect on CD4 cell counts in HIV disease
- Modeling progression of HIV infection: staging and the Chicago MACS cohort
- The interpretation of immunoepidemiological data for helminth infections
- The distribution of malaria parasites in the mosquito vector: consequences for assessing infection intensity in the field
- When susceptible and infective human hosts are not equally attractive to mosquitoes: a generalisation of the Ross malaria model
- The dynamics of blood stage malaria: modelling strain specific and strain transcending immunity
- Part 3 Population heterogeneity (mixing)
- Part 4 Consequences of treatment interventions
- Part 5 Prediction
Summary
The lifespan of T lymphocytes is of particular interest because of their central role in immunological memory. Is the recall of a vaccination or early infection, which may be demonstrated clinically up to 50 years after antigen exposure, retained by a long-lived cell, or its progeny? Using the observation that T lymphocyte expression of isoforms of CD45 corresponds with their ability to respond to recall antigens, we have investigated the lifespan of both CD45RO (the subset containing responders, or ‘memory’ cells) and CD45RA (the unresponsive, or ‘naive’ subset) lymphocytes in a group of patients after radiotherapy (Michie et al. 1992). We have found a rapid loss of unstable chromosomes (which result in cell death in mitosis) from the CD45RO but not the CD45RA pool. Immunological memory therefore apparently resides in a population with a more rapid rate of division. The survival curves for the two populations are best described by a model in which there is also reversion in vivo from the CD45RO to the CD45RA phenotype. Expression of CD45RO in T cells may therefore be reversible. Further data showing survival curves of T lymphocytes with stable radiation damage (passed to one daughter cell during mitosis) is also considered. These curves show very little loss of such cells. The difference between the two populations (stable and unstable damage) allows an estimate of their proliferation rates and death rates. These parameter estimates may be of interest to people modelling the dynamics of the immune response as they give some rough indicators of the timescales on which T lymphocytes turn over (McLean and Michie 1993).
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- Models for Infectious Human DiseasesTheir Structure and Relation to Data, pp. 191 - 192Publisher: Cambridge University PressPrint publication year: 1996