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Modeling Leukocyte-Leukocyte Non-Contact Interactions in a Lymph Node

The interaction among leukocytes is at the basis of the innate and adaptive immune-response and it is largely ascribed to direct cell-cell contacts. However, the exchange of a number of chemical stimuli (chemokines) allows also non-contact interaction during the immunological response. We want here...

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Autores principales: Gritti, Nicola, Caccia, Michele, Sironi, Laura, Collini, Maddalena, D'Alfonso, Laura, Granucci, Francesca, Zanoni, Ivan, Chirico, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3810259/
https://www.ncbi.nlm.nih.gov/pubmed/24204669
http://dx.doi.org/10.1371/journal.pone.0076756
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author Gritti, Nicola
Caccia, Michele
Sironi, Laura
Collini, Maddalena
D'Alfonso, Laura
Granucci, Francesca
Zanoni, Ivan
Chirico, Giuseppe
author_facet Gritti, Nicola
Caccia, Michele
Sironi, Laura
Collini, Maddalena
D'Alfonso, Laura
Granucci, Francesca
Zanoni, Ivan
Chirico, Giuseppe
author_sort Gritti, Nicola
collection PubMed
description The interaction among leukocytes is at the basis of the innate and adaptive immune-response and it is largely ascribed to direct cell-cell contacts. However, the exchange of a number of chemical stimuli (chemokines) allows also non-contact interaction during the immunological response. We want here to evaluate the extent of the effect of the non-contact interactions on the observed leukocyte-leukocyte kinematics and their interaction duration. To this aim we adopt a simplified mean field description inspired by the Keller-Segel chemotaxis model, of which we report an analytical solution suited for slowly varying sources of chemokines. Since our focus is on the non-contact interactions, leukocyte-leukocyte contact interactions are simulated only by means of a space dependent friction coefficient of the cells. The analytical solution of the Keller-Segel model is then taken as the basis of numerical simulations of interactions between leukocytes and their duration. The mean field interaction force that we derive has a time-space separable form and depends on the chemotaxis sensitivity parameter as well as on the chemokines diffusion coefficient and their degradation rate. All these parameters affect the distribution of the interaction durations. We draw a successful qualitative comparison between simulated data and sets of experimental data for DC-NK cells interaction duration and other kinematic parameters. Remarkably, the predicted percentage of the leukocyte-leukocyte interactions falls in the experimental range and depends (≅25% increase) upon the chemotactic parameter indicating a non-negligible direct effect of the non-contact interaction on the leukocyte interactions.
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spelling pubmed-38102592013-11-07 Modeling Leukocyte-Leukocyte Non-Contact Interactions in a Lymph Node Gritti, Nicola Caccia, Michele Sironi, Laura Collini, Maddalena D'Alfonso, Laura Granucci, Francesca Zanoni, Ivan Chirico, Giuseppe PLoS One Research Article The interaction among leukocytes is at the basis of the innate and adaptive immune-response and it is largely ascribed to direct cell-cell contacts. However, the exchange of a number of chemical stimuli (chemokines) allows also non-contact interaction during the immunological response. We want here to evaluate the extent of the effect of the non-contact interactions on the observed leukocyte-leukocyte kinematics and their interaction duration. To this aim we adopt a simplified mean field description inspired by the Keller-Segel chemotaxis model, of which we report an analytical solution suited for slowly varying sources of chemokines. Since our focus is on the non-contact interactions, leukocyte-leukocyte contact interactions are simulated only by means of a space dependent friction coefficient of the cells. The analytical solution of the Keller-Segel model is then taken as the basis of numerical simulations of interactions between leukocytes and their duration. The mean field interaction force that we derive has a time-space separable form and depends on the chemotaxis sensitivity parameter as well as on the chemokines diffusion coefficient and their degradation rate. All these parameters affect the distribution of the interaction durations. We draw a successful qualitative comparison between simulated data and sets of experimental data for DC-NK cells interaction duration and other kinematic parameters. Remarkably, the predicted percentage of the leukocyte-leukocyte interactions falls in the experimental range and depends (≅25% increase) upon the chemotactic parameter indicating a non-negligible direct effect of the non-contact interaction on the leukocyte interactions. Public Library of Science 2013-10-28 /pmc/articles/PMC3810259/ /pubmed/24204669 http://dx.doi.org/10.1371/journal.pone.0076756 Text en © 2013 Gritti et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Gritti, Nicola
Caccia, Michele
Sironi, Laura
Collini, Maddalena
D'Alfonso, Laura
Granucci, Francesca
Zanoni, Ivan
Chirico, Giuseppe
Modeling Leukocyte-Leukocyte Non-Contact Interactions in a Lymph Node
title Modeling Leukocyte-Leukocyte Non-Contact Interactions in a Lymph Node
title_full Modeling Leukocyte-Leukocyte Non-Contact Interactions in a Lymph Node
title_fullStr Modeling Leukocyte-Leukocyte Non-Contact Interactions in a Lymph Node
title_full_unstemmed Modeling Leukocyte-Leukocyte Non-Contact Interactions in a Lymph Node
title_short Modeling Leukocyte-Leukocyte Non-Contact Interactions in a Lymph Node
title_sort modeling leukocyte-leukocyte non-contact interactions in a lymph node
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3810259/
https://www.ncbi.nlm.nih.gov/pubmed/24204669
http://dx.doi.org/10.1371/journal.pone.0076756
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