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Multimodal analysis of ocular inflammation using the endotoxin-induced uveitis mouse model

Endotoxin-induced uveitis (EIU) in rodents is a model of acute Toll-like receptor 4 (TLR4)-mediated organ inflammation, and has been used to model human anterior uveitis, examine leukocyte trafficking and test novel anti-inflammatory therapeutics. Wider adoption has been limited by the requirement f...

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Autores principales: Chu, Colin J., Gardner, Peter J., Copland, David A., Liyanage, Sidath E., Gonzalez-Cordero, Anai, kleine Holthaus, Sophia-Martha, Luhmann, Ulrich F. O., Smith, Alexander J., Ali, Robin R., Dick, Andrew D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Company of Biologists Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4852501/
https://www.ncbi.nlm.nih.gov/pubmed/26794131
http://dx.doi.org/10.1242/dmm.022475
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author Chu, Colin J.
Gardner, Peter J.
Copland, David A.
Liyanage, Sidath E.
Gonzalez-Cordero, Anai
kleine Holthaus, Sophia-Martha
Luhmann, Ulrich F. O.
Smith, Alexander J.
Ali, Robin R.
Dick, Andrew D.
author_facet Chu, Colin J.
Gardner, Peter J.
Copland, David A.
Liyanage, Sidath E.
Gonzalez-Cordero, Anai
kleine Holthaus, Sophia-Martha
Luhmann, Ulrich F. O.
Smith, Alexander J.
Ali, Robin R.
Dick, Andrew D.
author_sort Chu, Colin J.
collection PubMed
description Endotoxin-induced uveitis (EIU) in rodents is a model of acute Toll-like receptor 4 (TLR4)-mediated organ inflammation, and has been used to model human anterior uveitis, examine leukocyte trafficking and test novel anti-inflammatory therapeutics. Wider adoption has been limited by the requirement for manual, non-specific, cell-count scoring of histological sections from each eye as a measure of disease severity. Here, we describe a comprehensive and efficient technique that uses ocular dissection and multimodal tissue analysis. This allows matched disease scoring by multicolour flow cytometric analysis of the inflammatory infiltrate, protein analysis on ocular supernatants and qPCR on remnant tissues of the same eye. Dynamic changes in cell populations could be identified and mapped to chemokine and cytokine changes over the course of the model. To validate the technique, dose-responsive suppression of leukocyte infiltration by recombinant interleukin-10 was demonstrated, as well as selective suppression of the monocyte (CD11b+Ly6C+) infiltrate, in mice deficient for either Ccl2 or Ccr2. Optical coherence tomography (OCT) was used for the first time in this model to allow in vivo imaging of infiltrating vitreous cells, and correlated with CD11b+Ly6G+ counts to provide another unique measure of cell populations in the ocular tissue. Multimodal tissue analysis of EIU is proposed as a new standard to improve and broaden the application of this model.
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spelling pubmed-48525012016-05-19 Multimodal analysis of ocular inflammation using the endotoxin-induced uveitis mouse model Chu, Colin J. Gardner, Peter J. Copland, David A. Liyanage, Sidath E. Gonzalez-Cordero, Anai kleine Holthaus, Sophia-Martha Luhmann, Ulrich F. O. Smith, Alexander J. Ali, Robin R. Dick, Andrew D. Dis Model Mech Resource Article Endotoxin-induced uveitis (EIU) in rodents is a model of acute Toll-like receptor 4 (TLR4)-mediated organ inflammation, and has been used to model human anterior uveitis, examine leukocyte trafficking and test novel anti-inflammatory therapeutics. Wider adoption has been limited by the requirement for manual, non-specific, cell-count scoring of histological sections from each eye as a measure of disease severity. Here, we describe a comprehensive and efficient technique that uses ocular dissection and multimodal tissue analysis. This allows matched disease scoring by multicolour flow cytometric analysis of the inflammatory infiltrate, protein analysis on ocular supernatants and qPCR on remnant tissues of the same eye. Dynamic changes in cell populations could be identified and mapped to chemokine and cytokine changes over the course of the model. To validate the technique, dose-responsive suppression of leukocyte infiltration by recombinant interleukin-10 was demonstrated, as well as selective suppression of the monocyte (CD11b+Ly6C+) infiltrate, in mice deficient for either Ccl2 or Ccr2. Optical coherence tomography (OCT) was used for the first time in this model to allow in vivo imaging of infiltrating vitreous cells, and correlated with CD11b+Ly6G+ counts to provide another unique measure of cell populations in the ocular tissue. Multimodal tissue analysis of EIU is proposed as a new standard to improve and broaden the application of this model. The Company of Biologists Ltd 2016-04-01 /pmc/articles/PMC4852501/ /pubmed/26794131 http://dx.doi.org/10.1242/dmm.022475 Text en © 2016. Published by The Company of Biologists Ltd http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Resource Article
Chu, Colin J.
Gardner, Peter J.
Copland, David A.
Liyanage, Sidath E.
Gonzalez-Cordero, Anai
kleine Holthaus, Sophia-Martha
Luhmann, Ulrich F. O.
Smith, Alexander J.
Ali, Robin R.
Dick, Andrew D.
Multimodal analysis of ocular inflammation using the endotoxin-induced uveitis mouse model
title Multimodal analysis of ocular inflammation using the endotoxin-induced uveitis mouse model
title_full Multimodal analysis of ocular inflammation using the endotoxin-induced uveitis mouse model
title_fullStr Multimodal analysis of ocular inflammation using the endotoxin-induced uveitis mouse model
title_full_unstemmed Multimodal analysis of ocular inflammation using the endotoxin-induced uveitis mouse model
title_short Multimodal analysis of ocular inflammation using the endotoxin-induced uveitis mouse model
title_sort multimodal analysis of ocular inflammation using the endotoxin-induced uveitis mouse model
topic Resource Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4852501/
https://www.ncbi.nlm.nih.gov/pubmed/26794131
http://dx.doi.org/10.1242/dmm.022475
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