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Using selective lung injury to improve murine models of spatially heterogeneous lung diseases
Many lung diseases, such as the acute respiratory distress syndrome (ARDS), display significant regional heterogeneity with patches of severely injured tissue adjacent to apparently healthy tissue. Current mouse models that aim to mimic ARDS generally produce diffuse injuries that cannot reproducibl...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447173/ https://www.ncbi.nlm.nih.gov/pubmed/30943189 http://dx.doi.org/10.1371/journal.pone.0202456 |
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author | Paris, Andrew J. Guo, Lei Dai, Ning Katzen, Jeremy B. Patel, Priyal N. Worthen, G. Scott Brenner, Jacob S. |
author_facet | Paris, Andrew J. Guo, Lei Dai, Ning Katzen, Jeremy B. Patel, Priyal N. Worthen, G. Scott Brenner, Jacob S. |
author_sort | Paris, Andrew J. |
collection | PubMed |
description | Many lung diseases, such as the acute respiratory distress syndrome (ARDS), display significant regional heterogeneity with patches of severely injured tissue adjacent to apparently healthy tissue. Current mouse models that aim to mimic ARDS generally produce diffuse injuries that cannot reproducibly generate ARDS’s regional heterogeneity. This deficiency prevents the evaluation of how well therapeutic agents reach the most injured regions and precludes many regenerative medicine studies since it is not possible to know which apparently healing regions suffered severe injury initially. Finally, these diffuse injury models must be relatively mild to allow for survival, as their diffuse nature does not allow for residual healthy lung to keep an animal alive long enough for many drug and regenerative medicine studies. To solve all of these deficiencies in current animal models, we have created a simple and reproducible technique to selectively induce lung injury in specific areas of the lung. Our technique, catheter-in-catheter selective lung injury (CICSLI), involves guiding an inner catheter to a particular area of the lung and delivering an injurious agent mixed with nanoparticles (fluorescently and/or radioactively labeled) that can be used days later to track the location and extent of where the initial injury occurred. Furthermore, we demonstrate that CICSLI can produce a more severe injury than diffuse models, yet has much higher survival since CICSLI intentionally leaves lung regions undamaged. Collectively, these attributes of CICSLI will allow investigators to better study how drugs act within heterogeneous lung pathologies and how regeneration occurs in severely damaged lung tissue, thereby aiding the development of new therapies for ARDS and other heterogenous lung diseases. |
format | Online Article Text |
id | pubmed-6447173 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-64471732019-04-17 Using selective lung injury to improve murine models of spatially heterogeneous lung diseases Paris, Andrew J. Guo, Lei Dai, Ning Katzen, Jeremy B. Patel, Priyal N. Worthen, G. Scott Brenner, Jacob S. PLoS One Research Article Many lung diseases, such as the acute respiratory distress syndrome (ARDS), display significant regional heterogeneity with patches of severely injured tissue adjacent to apparently healthy tissue. Current mouse models that aim to mimic ARDS generally produce diffuse injuries that cannot reproducibly generate ARDS’s regional heterogeneity. This deficiency prevents the evaluation of how well therapeutic agents reach the most injured regions and precludes many regenerative medicine studies since it is not possible to know which apparently healing regions suffered severe injury initially. Finally, these diffuse injury models must be relatively mild to allow for survival, as their diffuse nature does not allow for residual healthy lung to keep an animal alive long enough for many drug and regenerative medicine studies. To solve all of these deficiencies in current animal models, we have created a simple and reproducible technique to selectively induce lung injury in specific areas of the lung. Our technique, catheter-in-catheter selective lung injury (CICSLI), involves guiding an inner catheter to a particular area of the lung and delivering an injurious agent mixed with nanoparticles (fluorescently and/or radioactively labeled) that can be used days later to track the location and extent of where the initial injury occurred. Furthermore, we demonstrate that CICSLI can produce a more severe injury than diffuse models, yet has much higher survival since CICSLI intentionally leaves lung regions undamaged. Collectively, these attributes of CICSLI will allow investigators to better study how drugs act within heterogeneous lung pathologies and how regeneration occurs in severely damaged lung tissue, thereby aiding the development of new therapies for ARDS and other heterogenous lung diseases. Public Library of Science 2019-04-03 /pmc/articles/PMC6447173/ /pubmed/30943189 http://dx.doi.org/10.1371/journal.pone.0202456 Text en © 2019 Paris 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Paris, Andrew J. Guo, Lei Dai, Ning Katzen, Jeremy B. Patel, Priyal N. Worthen, G. Scott Brenner, Jacob S. Using selective lung injury to improve murine models of spatially heterogeneous lung diseases |
title | Using selective lung injury to improve murine models of spatially heterogeneous lung diseases |
title_full | Using selective lung injury to improve murine models of spatially heterogeneous lung diseases |
title_fullStr | Using selective lung injury to improve murine models of spatially heterogeneous lung diseases |
title_full_unstemmed | Using selective lung injury to improve murine models of spatially heterogeneous lung diseases |
title_short | Using selective lung injury to improve murine models of spatially heterogeneous lung diseases |
title_sort | using selective lung injury to improve murine models of spatially heterogeneous lung diseases |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447173/ https://www.ncbi.nlm.nih.gov/pubmed/30943189 http://dx.doi.org/10.1371/journal.pone.0202456 |
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