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Quantitative In Vivo Detection of Chlamydia muridarum Associated Inflammation in a Mouse Model Using Optical Imaging

Chlamydia trachomatis is a bacterial sexually transmitted disease with over 1.3 million cases reported to the CDC in 2010. While Chlamydia infection is easily treated with antibiotics, up to 70% of infections are asymptomatic and go untreated. The current mouse model relies on invasive upper genital...

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Autores principales: Patel, Manishkumar, Lin, Shu-An, Boddicker, Melissa A., DeMaula, Christopher, Connolly, Brett, Bednar, Bohumil, Heinrichs, Jon H., Smith, Jeffrey G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4667028/
https://www.ncbi.nlm.nih.gov/pubmed/26663988
http://dx.doi.org/10.1155/2015/264897
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author Patel, Manishkumar
Lin, Shu-An
Boddicker, Melissa A.
DeMaula, Christopher
Connolly, Brett
Bednar, Bohumil
Heinrichs, Jon H.
Smith, Jeffrey G.
author_facet Patel, Manishkumar
Lin, Shu-An
Boddicker, Melissa A.
DeMaula, Christopher
Connolly, Brett
Bednar, Bohumil
Heinrichs, Jon H.
Smith, Jeffrey G.
author_sort Patel, Manishkumar
collection PubMed
description Chlamydia trachomatis is a bacterial sexually transmitted disease with over 1.3 million cases reported to the CDC in 2010. While Chlamydia infection is easily treated with antibiotics, up to 70% of infections are asymptomatic and go untreated. The current mouse model relies on invasive upper genital tract gross pathology readouts at ~60–80 days postinfection. High throughput optical imaging through the use of biomarkers has been successfully used to quickly evaluate several disease processes. Here we evaluate Neutrophil Elastase 680 (Elastase680) for its ability to measure Chlamydia muridarum associated inflammation in live mice using fluorescence molecular tomography (FMT) and In Vivo Imaging System (IVIS). Optical imaging was able to distinguish with statistical significance between vaccinated and nonvaccinated mice as well as mock-challenged and challenged mice 2 weeks after challenge which was 9 weeks sooner than typical gross pathological assessment. Immunohistochemistry confirmed the presence of neutrophils and correlated well with both in vivo and ex vivo imaging. In this report we demonstrate that Elastase680 can be used as a molecular imaging biomarker for inflammation associated with chlamydial infection in a mouse model and that these biomarkers can significantly decrease the time for pathology evaluation and thus increase the rate of therapeutics discovery.
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spelling pubmed-46670282015-12-09 Quantitative In Vivo Detection of Chlamydia muridarum Associated Inflammation in a Mouse Model Using Optical Imaging Patel, Manishkumar Lin, Shu-An Boddicker, Melissa A. DeMaula, Christopher Connolly, Brett Bednar, Bohumil Heinrichs, Jon H. Smith, Jeffrey G. Mediators Inflamm Research Article Chlamydia trachomatis is a bacterial sexually transmitted disease with over 1.3 million cases reported to the CDC in 2010. While Chlamydia infection is easily treated with antibiotics, up to 70% of infections are asymptomatic and go untreated. The current mouse model relies on invasive upper genital tract gross pathology readouts at ~60–80 days postinfection. High throughput optical imaging through the use of biomarkers has been successfully used to quickly evaluate several disease processes. Here we evaluate Neutrophil Elastase 680 (Elastase680) for its ability to measure Chlamydia muridarum associated inflammation in live mice using fluorescence molecular tomography (FMT) and In Vivo Imaging System (IVIS). Optical imaging was able to distinguish with statistical significance between vaccinated and nonvaccinated mice as well as mock-challenged and challenged mice 2 weeks after challenge which was 9 weeks sooner than typical gross pathological assessment. Immunohistochemistry confirmed the presence of neutrophils and correlated well with both in vivo and ex vivo imaging. In this report we demonstrate that Elastase680 can be used as a molecular imaging biomarker for inflammation associated with chlamydial infection in a mouse model and that these biomarkers can significantly decrease the time for pathology evaluation and thus increase the rate of therapeutics discovery. Hindawi Publishing Corporation 2015 2015-11-18 /pmc/articles/PMC4667028/ /pubmed/26663988 http://dx.doi.org/10.1155/2015/264897 Text en Copyright © 2015 Manishkumar Patel et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Patel, Manishkumar
Lin, Shu-An
Boddicker, Melissa A.
DeMaula, Christopher
Connolly, Brett
Bednar, Bohumil
Heinrichs, Jon H.
Smith, Jeffrey G.
Quantitative In Vivo Detection of Chlamydia muridarum Associated Inflammation in a Mouse Model Using Optical Imaging
title Quantitative In Vivo Detection of Chlamydia muridarum Associated Inflammation in a Mouse Model Using Optical Imaging
title_full Quantitative In Vivo Detection of Chlamydia muridarum Associated Inflammation in a Mouse Model Using Optical Imaging
title_fullStr Quantitative In Vivo Detection of Chlamydia muridarum Associated Inflammation in a Mouse Model Using Optical Imaging
title_full_unstemmed Quantitative In Vivo Detection of Chlamydia muridarum Associated Inflammation in a Mouse Model Using Optical Imaging
title_short Quantitative In Vivo Detection of Chlamydia muridarum Associated Inflammation in a Mouse Model Using Optical Imaging
title_sort quantitative in vivo detection of chlamydia muridarum associated inflammation in a mouse model using optical imaging
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4667028/
https://www.ncbi.nlm.nih.gov/pubmed/26663988
http://dx.doi.org/10.1155/2015/264897
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