PET/CT imaging of tuberculosis lung lesions in marmosets treated with different drug regimens aligns with human clinical outcomes

Early bactericidal activity and time to sputum conversion are well-established study end points in both preclinical animal models and clinical trials for testing drug regimens for pulmonary tuberculosis (TB). The development and optimization of treatment-shortening drug regimens for TB have been challenged by disparities between these study end points and nonrelapsing cure. We hypothesized that using lung lesions measured by 2-deoxy-2-[<sup>18</sup>F]fluoro-d-glucose-positron emission tomography/computed tomography (PET/CT) imaging in infected marmosets could help to interpret treatment efficacies and better understand clinical treatment outcomes. Radiographic changes in lung lesions were measured using PET/CT imaging in a cohort of infected marmosets, which were divided into 22 treatment arms (including monotherapies and combination drug treatments) for 2 months. We used unsupervised clustering to define multivariate treatment response profiles that combined quantitative changes in radiographic pathology and terminal bacterial burden per lung lesion to inform lesion-level responses to drug treatments. These drug response profiles not only aligned with known clinical outcomes but also provided lesion-level insights into clinical successes and failures. We found that the inferiority of the 4-month moxifloxacin-rifampicin-pyrazinamide-ethambutol regimen compared with the 6-month standard of care for individuals with lung cavitary TB could be predicted. The marmoset response profiles were matched to their respective histopathological classifications at necropsy and successfully distinguished cavitary granulomas that responded to treatment from cavitary granulomas that failed to improve or worsened after the first month of treatment. Our findings indicate that a combination of quantitative PET/CT measures is more informative of TB treatment outcomes than bacterial burden.

Authors

Institutions

Publication Details

Journal
Science Translational Medicine
Published
2026-01-07
DOI
https://doi.org/10.1126/scitranslmed.ado9383
Citations
1
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
32.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PET/CT imaging of tuberculosis lung lesions in marmosets treated with different drug regimens aligns with human clinical outcomes

Felipe Alvarez Gómez, Joel D. Fleegle, Laura E. Via, Véronique Dartois et al.
1 citations
Science Translational Medicine
Tuberculosis Research and Epidemiology
32.78
article

PET/CT imaging of tuberculosis lung lesions in marmosets treated with different drug regimens aligns with human clinical outcomes

Felipe Alvarez Gómez, Joel D. Fleegle, Laura E. Via, Véronique Dartois, David M. Weiner, April Walker, Michael J. Woodcock, Talia Greenstein, Oluwaseun Francis Egbelowo, Bree B. Aldridge, Katelyn M. Repoli, Eric L. Miller, Kamunkhwala Gausi, Emmanuel K. Dayao, Mariana Pereira Moraes, Helena I. M. Boshoff, Clifton E Barry, Paolo Denti, Firat Kaya, Matthew Zimmerman, Ayan Abdi
article en
1 citations

Abstract

Early bactericidal activity and time to sputum conversion are well-established study end points in both preclinical animal models and clinical trials for testing drug regimens for pulmonary tuberculosis (TB). The development and optimization of treatment-shortening drug regimens for TB have been challenged by disparities between these study end points and nonrelapsing cure. We hypothesized that using lung lesions measured by 2-deoxy-2-[<sup>18</sup>F]fluoro-d-glucose-positron emission tomography/computed tomography (PET/CT) imaging in infected marmosets could help to interpret treatment efficacies and better understand clinical treatment outcomes. Radiographic changes in lung lesions were measured using PET/CT imaging in a cohort of infected marmosets, which were divided into 22 treatment arms (including monotherapies and combination drug treatments) for 2 months. We used unsupervised clustering to define multivariate treatment response profiles that combined quantitative changes in radiographic pathology and terminal bacterial burden per lung lesion to inform lesion-level responses to drug treatments. These drug response profiles not only aligned with known clinical outcomes but also provided lesion-level insights into clinical successes and failures. We found that the inferiority of the 4-month moxifloxacin-rifampicin-pyrazinamide-ethambutol regimen compared with the 6-month standard of care for individuals with lung cavitary TB could be predicted. The marmoset response profiles were matched to their respective histopathological classifications at necropsy and successfully distinguished cavitary granulomas that responded to treatment from cavitary granulomas that failed to improve or worsened after the first month of treatment. Our findings indicate that a combination of quantitative PET/CT measures is more informative of TB treatment outcomes than bacterial burden.

Science Translational MedicineVol. 18(831)
Tufts University (US), National Institutes of Health (US), University of Cape Town (ZA), CNR de la Résistance aux Antibiotiques (FR), Office of Extramural Research (US), Hackensack Meridian Health (US), Center for Discovery (US)
Good health and well-being
Openalex Percentile: Top 2%
Tuberculosis Research and Epidemiology
32.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.