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A Mycobacterium tuberculosis fingerprint in human breath allows tuberculosis detection

Medicine and Health

A Mycobacterium tuberculosis fingerprint in human breath allows tuberculosis detection

S. F. Mosquera-restrepo, S. Zuberoigïta, et al.

This groundbreaking study, conducted by Sergio Fabián Mosquera-Restrepo and colleagues, investigates the innovative use of exhaled breath condensate (EBC) analysis for diagnosing tuberculosis (TB). The researchers discovered distinct Mtb-specific molecules in EBCs, providing insights for enhanced diagnostics and treatment monitoring in a non-invasive manner.

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~3 min • Beginner • English
Abstract
An estimated one-third of tuberculosis (TB) cases go undiagnosed or unreported, with sputum-based diagnostics performing poorly in children and paucibacillary patients. In this proof-of-concept study, we tested whether exhaled breath condensate (EBC) enables detection of pulmonary TB. We show that Mycobacterium tuberculosis (Mtb)-specific molecules, including lipoarabinomannan (LAM), characteristic lipids, and proteins, are detectable in EBC and differentiate TB patients from healthy controls and non-TB pneumonia cases. EBC enabled longitudinal monitoring of pediatric patients under antibiotic treatment. Structural analyses revealed that Mtb lipoprotein analogs and lipids in EBC differ from those of ex vivo cultured bacteria, indicating distinct metabolic/biochemical states of Mtb in the human lung. These findings support EBC as an affordable, rapid, non-invasive matrix for TB diagnosis and treatment monitoring, with potential for point-of-care implementation.
Publisher
Nature Communications
Published On
Dec 14, 2022
Authors
Sergio Fabián Mosquera-Restrepo, Sophie Zuberoigïta, Lucie Couvettes, Emilie Laye, Martine Gillon, Alexandre Stella, David Rengel, Odile Burlet-Schiltz, Ana Cecilia Caro, Luis F. Garcia, César Segura, Carlos Alberto Peláez Jaramillo, Mauricio Rojas, Jérôme Nigou
Tags
tuberculosis
exhaled breath condensate
diagnosis
Mycobacterium tuberculosis
non-invasive
antibiotic treatment
biomarkers
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