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Quantification of plasma cell dynamics using mathematical modelling

Plasma cells (PCs) are the main antibody-producing cells in humans. They are long-lived so that specific antibodies against either pathogens or vaccines are produced for decades. PC longevity is attributed to specific areas within the bone marrow micro-environment, the so-called ‘niche’, providing t...

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Autores principales: Mohr, Marcel, Hose, Dirk, Seckinger, Anja, Marciniak-Czochra, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5792876/
https://www.ncbi.nlm.nih.gov/pubmed/29410799
http://dx.doi.org/10.1098/rsos.170759
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author Mohr, Marcel
Hose, Dirk
Seckinger, Anja
Marciniak-Czochra, Anna
author_facet Mohr, Marcel
Hose, Dirk
Seckinger, Anja
Marciniak-Czochra, Anna
author_sort Mohr, Marcel
collection PubMed
description Plasma cells (PCs) are the main antibody-producing cells in humans. They are long-lived so that specific antibodies against either pathogens or vaccines are produced for decades. PC longevity is attributed to specific areas within the bone marrow micro-environment, the so-called ‘niche’, providing the cells with required growth and survival factors. With antigen encounters, e.g. infection or vaccination, new PCs are generated and home to the bone marrow where they compete with resident PCs for the niche. We propose a parametrized mathematical model describing healthy PC dynamics in the bone marrow. The model accounts for competition for the niche between newly produced PCs owing to vaccination and resident PCs. Mathematical analysis and numerical simulations of the model allow explanation of the recovery of PC homoeostasis after a vaccine-induced perturbation, and the fraction of vaccine-specific PCs inside the niche. The model enables quantification of the niche-related dynamics of PCs, i.e. the duration of PC transition into the niche and the impact of different rates for PC transitions into and out of the niche on the observed cell dynamics. Ultimately, it provides a potential basis for further investigations in health and disease.
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spelling pubmed-57928762018-02-06 Quantification of plasma cell dynamics using mathematical modelling Mohr, Marcel Hose, Dirk Seckinger, Anja Marciniak-Czochra, Anna R Soc Open Sci Mathematics Plasma cells (PCs) are the main antibody-producing cells in humans. They are long-lived so that specific antibodies against either pathogens or vaccines are produced for decades. PC longevity is attributed to specific areas within the bone marrow micro-environment, the so-called ‘niche’, providing the cells with required growth and survival factors. With antigen encounters, e.g. infection or vaccination, new PCs are generated and home to the bone marrow where they compete with resident PCs for the niche. We propose a parametrized mathematical model describing healthy PC dynamics in the bone marrow. The model accounts for competition for the niche between newly produced PCs owing to vaccination and resident PCs. Mathematical analysis and numerical simulations of the model allow explanation of the recovery of PC homoeostasis after a vaccine-induced perturbation, and the fraction of vaccine-specific PCs inside the niche. The model enables quantification of the niche-related dynamics of PCs, i.e. the duration of PC transition into the niche and the impact of different rates for PC transitions into and out of the niche on the observed cell dynamics. Ultimately, it provides a potential basis for further investigations in health and disease. The Royal Society Publishing 2018-01-24 /pmc/articles/PMC5792876/ /pubmed/29410799 http://dx.doi.org/10.1098/rsos.170759 Text en © 2018 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Mathematics
Mohr, Marcel
Hose, Dirk
Seckinger, Anja
Marciniak-Czochra, Anna
Quantification of plasma cell dynamics using mathematical modelling
title Quantification of plasma cell dynamics using mathematical modelling
title_full Quantification of plasma cell dynamics using mathematical modelling
title_fullStr Quantification of plasma cell dynamics using mathematical modelling
title_full_unstemmed Quantification of plasma cell dynamics using mathematical modelling
title_short Quantification of plasma cell dynamics using mathematical modelling
title_sort quantification of plasma cell dynamics using mathematical modelling
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5792876/
https://www.ncbi.nlm.nih.gov/pubmed/29410799
http://dx.doi.org/10.1098/rsos.170759
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