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...

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Main Authors: Andrew J Paris, Lei Guo, Ning Dai, Jeremy B Katzen, Priyal N Patel, G Scott Worthen, Jacob S Brenner
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0202456
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spelling doaj-a83cdd6ed33545c7a4c72087cccc4c552021-06-19T05:10:36ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01144e020245610.1371/journal.pone.0202456Using selective lung injury to improve murine models of spatially heterogeneous lung diseases.Andrew J ParisLei GuoNing DaiJeremy B KatzenPriyal N PatelG Scott WorthenJacob S BrennerMany 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.https://doi.org/10.1371/journal.pone.0202456
collection DOAJ
language English
format Article
sources DOAJ
author Andrew J Paris
Lei Guo
Ning Dai
Jeremy B Katzen
Priyal N Patel
G Scott Worthen
Jacob S Brenner
spellingShingle Andrew J Paris
Lei Guo
Ning Dai
Jeremy B Katzen
Priyal N Patel
G Scott Worthen
Jacob S Brenner
Using selective lung injury to improve murine models of spatially heterogeneous lung diseases.
PLoS ONE
author_facet Andrew J Paris
Lei Guo
Ning Dai
Jeremy B Katzen
Priyal N Patel
G Scott Worthen
Jacob S Brenner
author_sort Andrew J Paris
title 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_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_sort using selective lung injury to improve murine models of spatially heterogeneous lung diseases.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
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.
url https://doi.org/10.1371/journal.pone.0202456
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