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Visualizing the dynamics of tuberculosis pathology using molecular imaging
Nearly 140 years after Robert Koch discovered Mycobacterium tuberculosis, tuberculosis (TB) remains a global threat and a deadly human pathogen. M. tuberculosis is notable for complex host-pathogen interactions that lead to poorly understood disease states ranging from latent infection to active dis...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Clinical Investigation
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919721/ https://www.ncbi.nlm.nih.gov/pubmed/33645551 http://dx.doi.org/10.1172/JCI145107 |
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author | Ordonez, Alvaro A. Tucker, Elizabeth W. Anderson, Carolyn J. Carter, Claire L. Ganatra, Shashank Kaushal, Deepak Kramnik, Igor Lin, Philana L. Madigan, Cressida A. Mendez, Susana Rao, Jianghong Savic, Rada M. Tobin, David M. Walzl, Gerhard Wilkinson, Robert J. Lacourciere, Karen A. Via, Laura E. Jain, Sanjay K. |
author_facet | Ordonez, Alvaro A. Tucker, Elizabeth W. Anderson, Carolyn J. Carter, Claire L. Ganatra, Shashank Kaushal, Deepak Kramnik, Igor Lin, Philana L. Madigan, Cressida A. Mendez, Susana Rao, Jianghong Savic, Rada M. Tobin, David M. Walzl, Gerhard Wilkinson, Robert J. Lacourciere, Karen A. Via, Laura E. Jain, Sanjay K. |
author_sort | Ordonez, Alvaro A. |
collection | PubMed |
description | Nearly 140 years after Robert Koch discovered Mycobacterium tuberculosis, tuberculosis (TB) remains a global threat and a deadly human pathogen. M. tuberculosis is notable for complex host-pathogen interactions that lead to poorly understood disease states ranging from latent infection to active disease. Additionally, multiple pathologies with a distinct local milieu (bacterial burden, antibiotic exposure, and host response) can coexist simultaneously within the same subject and change independently over time. Current tools cannot optimally measure these distinct pathologies or the spatiotemporal changes. Next-generation molecular imaging affords unparalleled opportunities to visualize infection by providing holistic, 3D spatial characterization and noninvasive, temporal monitoring within the same subject. This rapidly evolving technology could powerfully augment TB research by advancing fundamental knowledge and accelerating the development of novel diagnostics, biomarkers, and therapeutics. |
format | Online Article Text |
id | pubmed-7919721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Society for Clinical Investigation |
record_format | MEDLINE/PubMed |
spelling | pubmed-79197212021-03-03 Visualizing the dynamics of tuberculosis pathology using molecular imaging Ordonez, Alvaro A. Tucker, Elizabeth W. Anderson, Carolyn J. Carter, Claire L. Ganatra, Shashank Kaushal, Deepak Kramnik, Igor Lin, Philana L. Madigan, Cressida A. Mendez, Susana Rao, Jianghong Savic, Rada M. Tobin, David M. Walzl, Gerhard Wilkinson, Robert J. Lacourciere, Karen A. Via, Laura E. Jain, Sanjay K. J Clin Invest Review Nearly 140 years after Robert Koch discovered Mycobacterium tuberculosis, tuberculosis (TB) remains a global threat and a deadly human pathogen. M. tuberculosis is notable for complex host-pathogen interactions that lead to poorly understood disease states ranging from latent infection to active disease. Additionally, multiple pathologies with a distinct local milieu (bacterial burden, antibiotic exposure, and host response) can coexist simultaneously within the same subject and change independently over time. Current tools cannot optimally measure these distinct pathologies or the spatiotemporal changes. Next-generation molecular imaging affords unparalleled opportunities to visualize infection by providing holistic, 3D spatial characterization and noninvasive, temporal monitoring within the same subject. This rapidly evolving technology could powerfully augment TB research by advancing fundamental knowledge and accelerating the development of novel diagnostics, biomarkers, and therapeutics. American Society for Clinical Investigation 2021-03-01 2021-03-01 /pmc/articles/PMC7919721/ /pubmed/33645551 http://dx.doi.org/10.1172/JCI145107 Text en © 2021 Ordonez et al. http://creativecommons.org/licenses/by/4.0/ This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Review Ordonez, Alvaro A. Tucker, Elizabeth W. Anderson, Carolyn J. Carter, Claire L. Ganatra, Shashank Kaushal, Deepak Kramnik, Igor Lin, Philana L. Madigan, Cressida A. Mendez, Susana Rao, Jianghong Savic, Rada M. Tobin, David M. Walzl, Gerhard Wilkinson, Robert J. Lacourciere, Karen A. Via, Laura E. Jain, Sanjay K. Visualizing the dynamics of tuberculosis pathology using molecular imaging |
title | Visualizing the dynamics of tuberculosis pathology using molecular imaging |
title_full | Visualizing the dynamics of tuberculosis pathology using molecular imaging |
title_fullStr | Visualizing the dynamics of tuberculosis pathology using molecular imaging |
title_full_unstemmed | Visualizing the dynamics of tuberculosis pathology using molecular imaging |
title_short | Visualizing the dynamics of tuberculosis pathology using molecular imaging |
title_sort | visualizing the dynamics of tuberculosis pathology using molecular imaging |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919721/ https://www.ncbi.nlm.nih.gov/pubmed/33645551 http://dx.doi.org/10.1172/JCI145107 |
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