| Literature DB >> 33645551 |
Alvaro A Ordonez1,2,3, Elizabeth W Tucker1,2,4, Carolyn J Anderson5, Claire L Carter6, Shashank Ganatra7, Deepak Kaushal7, Igor Kramnik8,9, Philana L Lin10, Cressida A Madigan11, Susana Mendez12, Jianghong Rao13, Rada M Savic14, David M Tobin15, Gerhard Walzl16, Robert J Wilkinson17,18,19, Karen A Lacourciere12, Laura E Via20, Sanjay K Jain1,2,3.
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.Entities:
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Year: 2021 PMID: 33645551 PMCID: PMC7919721 DOI: 10.1172/JCI145107
Source DB: PubMed Journal: J Clin Invest ISSN: 0021-9738 Impact factor: 14.808