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Sci Rep


Title:Non-volatile organic compounds in exhaled breath particles correspond to active tuberculosis
Author(s):Chen D; Bryden NA; Bryden WA; McLoughlin M; Smith D; Devin AP; Caton ER; Haddaway CR; Tameris M; Scriba TJ; Hatherill M; Gessner S; Warner DF; Wood R;
Address:"Zeteo Tech, Inc., Sykesville, MD, USA. dapeng.chen@zeteotech.com. Zeteo Tech, Inc., Sykesville, MD, USA. South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa. SAMRC/NHLS/UCT Molecular Mycobacteriology Research Unit, Institute of Infectious Disease and Molecular Medicine and Division of Medical Microbiology, Department of Pathology, University of Cape Town, Cape Town, South Africa. Desmond Tutu HIV Centre, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa"
Journal Title:Sci Rep
Year:2022
Volume:20220513
Issue:1
Page Number:7919 -
DOI: 10.1038/s41598-022-12018-6
ISSN/ISBN:2045-2322 (Electronic) 2045-2322 (Linking)
Abstract:"Human breath contains trace amounts of non-volatile organic compounds (NOCs) which might provide non-invasive methods for evaluating individual health. In previous work, we demonstrated that lipids detected in exhaled breath aerosol (EBA) could be used as markers of active tuberculosis (TB). Here, we advanced our analytical platform for characterizing small metabolites and lipids in EBA samples collected from participants enrolled in clinical trials designed to identify molecular signatures of active TB. EBA samples from 26 participants with active TB and 73 healthy participants were processed using a dual-phase extraction method, and metabolites and lipids were identified via mass spectrometry database matching. In total, 13 metabolite and 9 lipid markers were identified with statistically different optimized relative standard deviation values between individuals diagnosed with active TB and the healthy controls. Importantly, EBA lipid profiles can be used to separate the two sample types, indicating the diagnostic potential of the identified molecules. A feature ranking algorithm reduced this number to 10 molecules, with the membrane glycerophospholipid, phosphatidylinositol 24:4, emerging as the top driver of segregation between the two groups. These results support the use of this approach to identify consistent NOC signatures from EBA samples in active TB cases. This suggests the potential to apply this method to other human diseases which alter respiratory NOC release"
Keywords:Aerosols/analysis Biomarkers/analysis *Body Fluids/chemistry Breath Tests/methods Exhalation Humans Lipids/analysis *Tuberculosis/diagnosis *Volatile Organic Compounds/analysis;
Notes:"MedlineChen, Dapeng Bryden, Noella A Bryden, Wayne A McLoughlin, Michael Smith, Dexter Devin, Alese P Caton, Emily R Haddaway, Caroline R Tameris, Michele Scriba, Thomas J Hatherill, Mark Gessner, Sophia Warner, Digby F Wood, Robin eng R01 AI147347/AI/NIAID NIH HHS/ R01A/147347/AI/NIAID NIH HHS/ Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't England 2022/05/14 Sci Rep. 2022 May 13; 12(1):7919. doi: 10.1038/s41598-022-12018-6"

 
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