Detection of Mycobacterium tuberculosis from tongue swabs using sonication and sequence-specific hybridization capture

Tongue swabs hold promise as a non-invasive sample for diagnosing tuberculosis (TB). However, their utility as replacements for sputum has been limited by their varied diagnostic performance in PCR assays compared to sputum. The use of silica-based DNA extraction methods may limit sensitivity due to incomplete lysis of Mycobacterium tuberculosis (MTB) cells and co-extraction of non-target nucleic acid, which may inhibit PCR. Specificity may also be compromised because these methods are labor-intensive and prone to cross-contamination. To address these limitations, we developed a sample preparation method that combines sonication for MTB lysis and a sequence-specific MTB DNA capture method using hybridization probes immobilized on magnetic beads. In spiked tongue swabs, our hybridization capture method demonstrated a 100-fold increase in MTB DNA yield over silica-based Qiagen DNA extraction and ethanol precipitation. In a study conducted on clinical samples from South Africa, our protocol had 74% (70/94) sensitivity and 98% (41/42) specificity for detecting active pulmonary TB with sputum Xpert MTB/RIF Ultra as the reference standard. While hybridization capture did not show improved sensitivity over Qiagen DNA extraction and ethanol precipitation, it demonstrated better specificity than previously reported methods and was easier to perform. With integration into point-of-care platforms, these strategies have the potential to help enable rapid non-sputum-based TB diagnosis across key underserved patient populations.

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Publication Details

Journal
PLoS ONE
Published
2024-08-15
DOI
https://doi.org/10.1371/journal.pone.0308235
Citations
6
Primary Topic
Mycobacterium research and diagnosis
Type
article
Field-Weighted Citation Impact
2.32

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article

Detection of Mycobacterium tuberculosis from tongue swabs using sonication and sequence-specific hybridization capture

Mark Hatherill, Paul Yager, Alaina M. Olson, Kris M. Weigel et al.
6 citations
PLoS ONE
Mycobacterium research and diagnosis
2.32
article

Detection of Mycobacterium tuberculosis from tongue swabs using sonication and sequence-specific hybridization capture

Mark Hatherill, Paul Yager, Alaina M. Olson, Kris M. Weigel, Erin K. Heiniger, Gerard A. Cangelosi, Alexander J. Yan, Angelique K. Luabeya
article en
6 citations

Abstract

Tongue swabs hold promise as a non-invasive sample for diagnosing tuberculosis (TB). However, their utility as replacements for sputum has been limited by their varied diagnostic performance in PCR assays compared to sputum. The use of silica-based DNA extraction methods may limit sensitivity due to incomplete lysis of Mycobacterium tuberculosis (MTB) cells and co-extraction of non-target nucleic acid, which may inhibit PCR. Specificity may also be compromised because these methods are labor-intensive and prone to cross-contamination. To address these limitations, we developed a sample preparation method that combines sonication for MTB lysis and a sequence-specific MTB DNA capture method using hybridization probes immobilized on magnetic beads. In spiked tongue swabs, our hybridization capture method demonstrated a 100-fold increase in MTB DNA yield over silica-based Qiagen DNA extraction and ethanol precipitation. In a study conducted on clinical samples from South Africa, our protocol had 74% (70/94) sensitivity and 98% (41/42) specificity for detecting active pulmonary TB with sputum Xpert MTB/RIF Ultra as the reference standard. While hybridization capture did not show improved sensitivity over Qiagen DNA extraction and ethanol precipitation, it demonstrated better specificity than previously reported methods and was easier to perform. With integration into point-of-care platforms, these strategies have the potential to help enable rapid non-sputum-based TB diagnosis across key underserved patient populations.

PLoS ONEVol. 19(8)
University of Cape Town (ZA), University of Washington (US), South African Tuberculosis Vaccine Initiative (ZA)
National Science Foundation, Foundation for the National Institutes of Health, Bill and Melinda Gates Foundation, National Institutes of Health
Openalex Percentile: Top 11%
Mycobacterium research and diagnosis
2.32
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