Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-75dct Total loading time: 0 Render date: 2024-06-05T12:18:06.023Z Has data issue: false hasContentIssue false

Lifespan of human T lymphocytes

Published online by Cambridge University Press:  04 August 2010

Valerie Isham
Affiliation:
University College London
Graham Medley
Affiliation:
University of Warwick
Get access

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).

Type
Chapter
Information
Models for Infectious Human Diseases
Their Structure and Relation to Data
, pp. 191 - 192
Publisher: Cambridge University Press
Print publication year: 1996

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×