Visualizing the dynamics of tuberculosis pathology using molecular imaging. Ordonez, A. A, Tucker, E. W, Anderson, C. J, Carter, C. L, Ganatra, S., Kaushal, D., Kramnik, I., Lin, P. L, Madigan, C. A, Mendez, S., Rao, J., Savic, R. M, Tobin, D. M, Walzl, G., Wilkinson, R. J, Lacourciere, K. A, Via, L. E, & Jain, S. K Journal of Clinical Investigation, 131(5):e145107, American Society for Clinical Investigation, mar, 2021. ![Visualizing the dynamics of tuberculosis pathology using molecular imaging [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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.
@article{Ordonez2021,
abstract = {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.},
author = {Ordonez, Alvaro A and Tucker, Elizabeth W and Anderson, Carolyn J and Carter, Claire L and Ganatra, Shashank and Kaushal, Deepak and Kramnik, Igor and Lin, Philana L and Madigan, Cressida A and Mendez, Susana and Rao, Jianghong and Savic, Rada M and Tobin, David M and Walzl, Gerhard and Wilkinson, Robert J and Lacourciere, Karen A and Via, Laura E and Jain, Sanjay K},
doi = {10.1172/JCI145107},
file = {:C$\backslash$:/Users/01462563/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Ordonez et al. - 2021 - Visualizing the dynamics of tuberculosis pathology using molecular imaging.pdf:pdf},
issn = {0021-9738},
journal = {Journal of Clinical Investigation},
keywords = {OA,fund{\_}not{\_}ack,review},
mendeley-tags = {OA,fund{\_}not{\_}ack,review},
month = {mar},
number = {5},
pages = {e145107},
pmid = {33645551},
publisher = {American Society for Clinical Investigation},
title = {{Visualizing the dynamics of tuberculosis pathology using molecular imaging}},
url = {https://www.jci.org/articles/view/145107},
volume = {131},
year = {2021}
}
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