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...
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Published in | The Journal of clinical investigation Vol. 131; no. 5; pp. 1 - 11 |
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Main Authors | , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Society for Clinical Investigation
01.03.2021
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Subjects | |
Online Access | Get full text |
ISSN | 0021-9738 1558-8238 1558-8238 |
DOI | 10.1172/JCI145107 |
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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. |
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AbstractList | 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. 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.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. 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. |
Audience | Academic |
Author | Savic, Rada M. Carter, Claire L. Rao, Jianghong Wilkinson, Robert J. Lin, Philana L. Lacourciere, Karen A. Ganatra, Shashank Anderson, Carolyn J. Madigan, Cressida A. Tobin, David M. Walzl, Gerhard Jain, Sanjay K. Kaushal, Deepak Kramnik, Igor Mendez, Susana Ordonez, Alvaro A. Via, Laura E. Tucker, Elizabeth W. |
AuthorAffiliation | 13 Molecular Imaging Program at Stanford, Department of Radiology and Chemistry, Stanford University, Stanford, California, USA 5 Department of Chemistry, University of Missouri, Columbia, Missouri, USA 9 National Emerging Infectious Diseases Laboratories, Boston University, Boston, Massachusetts, USA 20 Tuberculosis Research Section, Laboratory of Clinical Immunology and Microbiology, and Tuberculosis Imaging Program, Division of Intramural Research, NIAID, NIH, Bethesda, Maryland, USA 10 Children’s Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA 19 The Francis Crick Institute, London, United Kingdom 4 Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA 7 Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, Texas, USA 12 National Institute of Allergy and Infectious Diseases (NIAID), NIH, Rockville, Maryland, USA 3 Department of P |
AuthorAffiliation_xml | – name: 7 Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, Texas, USA – name: 16 SAMRC Centre for Tuberculosis Research, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Department of Biomedical Sciences, Stellenbosch University, Cape Town, South Africa – name: 1 Center for Infection and Inflammation Imaging Research – name: 15 Department of Molecular Genetics and Microbiology, Duke University, Durham, North Carolina, USA – name: 10 Children’s Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA – name: 3 Department of Pediatrics, and – name: 20 Tuberculosis Research Section, Laboratory of Clinical Immunology and Microbiology, and Tuberculosis Imaging Program, Division of Intramural Research, NIAID, NIH, Bethesda, Maryland, USA – name: 5 Department of Chemistry, University of Missouri, Columbia, Missouri, USA – name: 14 Department of Bioengineering and Therapeutic Sciences, School of Pharmacy and Medicine, UCSF, San Francisco, California, USA – name: 9 National Emerging Infectious Diseases Laboratories, Boston University, Boston, Massachusetts, USA – name: 13 Molecular Imaging Program at Stanford, Department of Radiology and Chemistry, Stanford University, Stanford, California, USA – name: 6 Hackensack Meridian Health Center for Discovery and Innovation, Nutley, New Jersey, USA – name: 17 Department of Infectious Diseases, Imperial College London, London, United Kingdom – name: 2 Center for Tuberculosis Research – name: 8 Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, Massachusets, USA – name: 18 Wellcome Centre for Infectious Diseases Research in Africa and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa – name: 11 Department of Biological Sciences, UCSD, San Diego, La Jolla, California, USA – name: 12 National Institute of Allergy and Infectious Diseases (NIAID), NIH, Rockville, Maryland, USA – name: 4 Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA – name: 19 The Francis Crick Institute, London, United Kingdom |
Author_xml | – sequence: 1 givenname: Alvaro A. surname: Ordonez fullname: Ordonez, Alvaro A. – sequence: 2 givenname: Elizabeth W. surname: Tucker fullname: Tucker, Elizabeth W. – sequence: 3 givenname: Carolyn J. surname: Anderson fullname: Anderson, Carolyn J. – sequence: 4 givenname: Claire L. orcidid: 0000-0003-2996-7621 surname: Carter fullname: Carter, Claire L. – sequence: 5 givenname: Shashank surname: Ganatra fullname: Ganatra, Shashank – sequence: 6 givenname: Deepak orcidid: 0000-0003-3521-1257 surname: Kaushal fullname: Kaushal, Deepak – sequence: 7 givenname: Igor orcidid: 0000-0001-6511-9246 surname: Kramnik fullname: Kramnik, Igor – sequence: 8 givenname: Philana L. surname: Lin fullname: Lin, Philana L. – sequence: 9 givenname: Cressida A. surname: Madigan fullname: Madigan, Cressida A. – sequence: 10 givenname: Susana surname: Mendez fullname: Mendez, Susana – sequence: 11 givenname: Jianghong surname: Rao fullname: Rao, Jianghong – sequence: 12 givenname: Rada M. surname: Savic fullname: Savic, Rada M. – sequence: 13 givenname: David M. orcidid: 0000-0003-3465-5518 surname: Tobin fullname: Tobin, David M. – sequence: 14 givenname: Gerhard orcidid: 0000-0003-2487-125X surname: Walzl fullname: Walzl, Gerhard – sequence: 15 givenname: Robert J. surname: Wilkinson fullname: Wilkinson, Robert J. – sequence: 16 givenname: Karen A. surname: Lacourciere fullname: Lacourciere, Karen A. – sequence: 17 givenname: Laura E. orcidid: 0000-0001-6074-9521 surname: Via fullname: Via, Laura E. – sequence: 18 givenname: Sanjay K. surname: Jain fullname: Jain, Sanjay K. |
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SubjectTerms | Animals Antibiotics Bacterial infections Biology Biomarkers Biomarkers - metabolism Biomedical research Disease Drug resistance Enzymes Evaluation Glucose Health aspects Host-bacteria relationships Host-pathogen interactions Humans Infections Latent infection Medical research Medicine, Experimental Metabolism Metabolites Molecular diagnostic techniques Molecular Imaging Mycobacterium tuberculosis Mycobacterium tuberculosis - metabolism Pathogenesis Pathogens Patients Prostate Review Tuberculosis Tuberculosis - diagnostic imaging Tuberculosis - metabolism |
Title | Visualizing the dynamics of tuberculosis pathology using molecular imaging |
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