Subpopulations in clinical samples of <i>M. tuberculosis</i> can give rise to rifampicin resistance and shed light on how resistance is acquired

Our results indicate that a substantial fraction of false negative calls in WGS-based rifampicin resistance prediction can be explained by masked resistant subpopulations. The genetic diversity within the heterogeneous samples is consistent with at least 28% of the rifampicin resistance arising from secondary infections.

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Publication Details

Journal
JAC-Antimicrobial Resistance
Published
2025-09-03
DOI
https://doi.org/10.1093/jacamr/dlaf175
Citations
2
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
2.79

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article

Subpopulations in clinical samples of M. tuberculosis can give rise to rifampicin resistance and shed light on how resistance is acquired

Philip W. Fowler, Viktoria Brunner
2 citations
JAC-Antimicrobial Resistance
Tuberculosis Research and Epidemiology
2.79
article

Subpopulations in clinical samples of M. tuberculosis can give rise to rifampicin resistance and shed light on how resistance is acquired

Philip W. Fowler, Viktoria Brunner
article en
2 citations

Abstract

Our results indicate that a substantial fraction of false negative calls in WGS-based rifampicin resistance prediction can be explained by masked resistant subpopulations. The genetic diversity within the heterogeneous samples is consistent with at least 28% of the rifampicin resistance arising from secondary infections.

JAC-Antimicrobial ResistanceVol. 7(5)
University of Liverpool (GB), John Radcliffe Hospital (GB), University of Oxford (GB), Health Protection Research Unit in Emerging and Zoonotic Infections at University of Liverpool (GB)
National Institute for Health Research Health Protection Research Unit, National Institute for Health and Care Research, Department of Health and Social Care, University of Oxford, Directorate for Biological Sciences, NIHR Oxford Biomedical Research Centre
Openalex Percentile: Top 8%
Tuberculosis Research and Epidemiology
2.79
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