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Dynamic of infectious aerosols generated by cough from patients with pulmonary tuberculosis

journal contribution
posted on 2025-07-22, 10:35 authored by Taline Canto Tristão, Mariana Abou Mourad Ferreira, Pedro Sousa de Almeida Júnior, Luiz Guilherme Schmidt Castellani, Manuela Negrelli Brunetti, Edward C Jones-López, Kevin P Fennelly, Michael BarerMichael Barer, Carlos Henrique Fantecelle, Saulo Almeida Morellato, David Jamil Hadad, Jerrold J Ellner, Reynaldo Dietze, Moisés Palaci
Tuberculosis (TB) is an ancient disease transmitted through aerosols frequently generated by coughing and it is still unknown whether there is variability in cough aerosol output throughout the day and whether this may impact patients’ infectivity categorization. To study the dynamic of infectious aerosols generated by cough, we conducted a cross-sectional study on pulmonary TB patients (n = 16) who had their cough-generated aerosols sampled twice daily for two consecutive days for the Cough Aerosol Sampling System (CASS) assay. Most patients were classified as Variable Low Producers and Variable High Producers (n = 10; 62.5 %), followed by Negative Producers (n = 4; 25 %) and Consistent Producers (n = 2; 12.5 %). Additionally, most recovered bacilli (88.7 %) within a respiratory aerosol size range. Although the time of collection did not appear to impact on aerosol infectivity, performing CASS with multiple samples allowed for more accurate detection and distinction among aerosol producers.<p></p>

Funding

Biomarkers and Mechanisms of Paucibacillary and Latent Tuberculosis

National Institute of Allergy and Infectious Diseases

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National Institutes of Health; award UO1 AI065663-01

History

Author affiliation

College of Life Sciences Respiratory Sciences

Version

  • AM (Accepted Manuscript)

Published in

Journal of Aerosol Science

Volume

189

Pagination

106633 - 106633

Publisher

Elsevier BV

issn

0021-8502

eissn

1879-1964

Acceptance date

2025-06-06

Copyright date

2025

Available date

2025-07-22

Spatial coverage

England

Language

en

Deposited by

Professor Michael Barer

Deposit date

2025-07-18

Data Access Statement

Data will be made available on request.

Rights Retention Statement

  • No

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