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Ageing of the B-cell repertoire

Overview of attention for article published in Philosophical Transactions of the Royal Society B: Biological Sciences, September 2015
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Article details
Title
Ageing of the B-cell repertoire
Published in
Philosophical Transactions of the Royal Society B: Biological Sciences, September 2015
DOI 10.1098/rstb.2014.0237
Pubmed ID
Authors
Abstract

Older people are more susceptible to infection, less responsive to vaccination and have a more inflammatory immune environment. Using spectratype analysis, we have previously shown that the B-cell repertoire of older people shows evidence of inappropriate clonal expansions in the absence of challenge, and that this loss of B-cell diversity correlates with poor health. Studies on response to vaccination, using both spectratyping and high-throughput sequencing of the repertoire, indicate that older responses to challenge are lacking in magnitude and/or delayed significantly. Also that some of the biologically significant differences may be in different classes of antibody. We have also previously shown that normal young B-cell repertoires can vary between different phenotypic subsets of B cells. In this paper, we present an analysis of immunoglobulin repertoire in different subclasses of antibody in five different populations of B cell, and show how the repertoire in these different groups changes with age. Although some age-related repertoire differences occur in naive cells, before exogenous antigen exposure, we see indications that there is a general dysregulation of the selective forces that shape memory B-cell populations in older people.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
United Kingdom 1 <1%
Unknown 118 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 26 22%
Researcher 23 19%
Student > Master 15 13%
Other 8 7%
Student > Bachelor 6 5%
Other 16 13%
Unknown 26 22%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 30 25%
Immunology and Microbiology 25 21%
Biochemistry, Genetics and Molecular Biology 21 18%
Medicine and Dentistry 6 5%
Computer Science 4 3%
Other 7 6%
Unknown 27 23%