Evidence map›Paper›PMID 39663850›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2025

Diagnostic Accuracy of LiquidArray MTB-XDR VER 1.0 for the Detection of Mycobacterium tuberculosis Complex, Fluoroquinolone, Amikacin, Ethambutol, and Linezolid Susceptibility.

Erick Auma, Rencia Alberts, Brigitta Derendinger, Rouxjeane Venter, Elizabeth M Streicher, Samantha Pillay, Yonas T Ghebrekristos, Moses Mburu, Morten Ruhwald, Robin Warren and 3 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Tuberculosis and HIV coinfection: Progress and challenges towards reducing incidence and mortality.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Erick AumaDepartment of Science, Technology and Innovation - National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, Western Cape, South Africa.ORCID 0000-0001-7076-4944
Rencia AlbertsDepartment of Science, Technology and Innovation - National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, Western Cape, South Africa.ORCID 0000-0003-2251-5534
Brigitta DerendingerDepartment of Science, Technology and Innovation - National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, Western Cape, South Africa.ORCID 0000-0001-7208-2154
Rouxjeane VenterDepartment of Science, Technology and Innovation - National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, Western Cape, South Africa.ORCID 0000-0002-8710-8166
Elizabeth M StreicherDepartment of Science, Technology and Innovation - National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, Western Cape, South Africa.ORCID 0000-0003-3901-1981
Samantha PillayDepartment of Science, Technology and Innovation - National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, Western Cape, South Africa.ORCID 0000-0002-4659-4364
Yonas T GhebrekristosDepartment of Science, Technology and Innovation - National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, Western Cape, South Africa.ORCID 0000-0003-2002-5240
Moses MburuTuberculosis Programme, FIND, Geneva, Switzerland.ORCID 0000-0001-7281-583X
Morten RuhwaldTuberculosis Programme, FIND, Geneva, Switzerland.ORCID 0000-0002-1597-441X
Robin WarrenDepartment of Science, Technology and Innovation - National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, Western Cape, South Africa.ORCID 0000-0001-5741-7358
Adam Penn-NicholsonTuberculosis Programme, FIND, Geneva, Switzerland.ORCID 0000-0002-1883-0059
Grant TheronDepartment of Science, Technology and Innovation - National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, Western Cape, South Africa.ORCID 0000-0002-9216-2415
Margaretha de VosTuberculosis Programme, FIND, Geneva, Switzerland.ORCID 0000-0003-3059-2986

Funding

The Center for Innovation in Point-of-Care Technologies for HIV/AIDS atNorthwestern University (C-THAN) Supplemental RequestU54EB027049 · NIBIB · NORTHWESTERN UNIVERSITY · PI Chad J Achenbach, SALLY Maureen MCFALL · 2018 to 2026
$24.0M
Rapid Research for Diagnostics Development in TB Network (R2D2 TB Network)U01AI152087 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CATTAMANCHI, ADITHYA, DENKINGER, CLAUDIA MARIA · 2020 to 2024
$19.3M
HIV and Mycobacterial Disease in MaliD43TW010350 · FIC · UNIV OF SCIENCES, TECH & TECH OF BAMAKO · PI MAIGA, ALMOUSTAPHA ISSIAKA, MURPHY, ROBERT LEO · 2016 to 2025
$3.0M
Pre- and post-treatment lung microbiota, metabolome and immune signatures at the site of disease in patients with active pulmonary tuberculosisR01AI136894 · NIAID · STELLENBOSCH UNIVERSITY · PI THERON, GRANT DE VOS · 2019 to 2023
$678k
EDCTP2 programme RIA2018D-2493EDCTP2 programme RIA2018D-2509EDCTP2 programme RIA2020I-3305FIC NIH HHS D43 TW010350German Federal Ministry of Education and ResearchNIAID NIH HHS R01 AI136894NIAID NIH HHS U01 AI152087NIBIB NIH HHS U54 EB027049NIH HHS D43TW010350NIH HHS R01AI136894NIH HHS U01AI152087NIH HHS U54EB027049
6 · The paper itself

Abstract

backgroundDrug susceptibility testing (DST) is essential for starting people on effective tuberculosis (TB) regimens. No published data exist for the high-throughput LiquidArray MTB-XDR (LA-XDR) test, which detects Mycobacterium tuberculosis complex (MTBC) and fluoroquinolone, amikacin, ethambutol, and linezolid susceptibility (the latter 2 have no rapid DSTs available).

methodsWe enrolled people (N = 720) with presumptive TB who provided 2 sputum samples for an Xpert MTB/RIF Ultra assay and a culture (MTBC reference standard). Phenotypic DST and Sanger sequencing were the composite reference standards. LA-XDR on the manual FluoroLyse and automated GenoXtract fleXT (fleXT) DNA extraction methods were compared.

resultsFor MTBC, LA-XDR had similar sensitivities (85%-87%) and specificities (99%) using each extraction method. Drug susceptibility sensitivities (95% confidence interval) varied: 94% (86%-98%) for fluoroquinolones, 64% (45%-80%) for amikacin, and 88% (79%-93%) for ethambutol (specificities of 97%-100%). Six of 7 (86%) resistant linezolid isolates were detected. LA-XDR with fleXT had indeterminate proportions of 21/251 (8%), 2/251 (1%), 63/251 (25%), and 93/251 (37%) for fluoroquinolones, ethambutol, amikacin, and linezolid, respectively (amikacin and linezolid indeterminates were higher with FluoroLyse-extracted DNA). In a hypothetical population of 100 smear-negative people with fluoroquinolone-resistant TB undergoing fleXT DNA extraction, 25 (25%) would be missed (1 extraction error, 2 invalid results, 15 MTBC-negative, 6 fluoroquinolone-indeterminate, and 1 false-susceptible).

conclusionsLA-XDR met the minimum World Health Organization target product profile for a next-generation, sputum-based, moderate-complexity DST with high fluoroquinolone and ethambutol resistance sensitivity, moderate amikacin resistance sensitivity, and promise for linezolid resistance, for which more data are needed. Improved LA-XDR MTBC detection would reduce missed resistance.

Indexed as

Antitubercular AgentsMycobacterium tuberculosisTuberculosis, Multidrug-ResistantAdultAgedAmikacinDrug Resistance, Multiple, BacterialEthambutolFemaleFluoroquinolonesHumansLinezolidMaleMicrobial Sensitivity TestsMiddle AgedSensitivity and SpecificityAmikacinAntitubercular AgentsEthambutolFluoroquinolonesLinezoliddrug susceptibility testingfluoroquinolonesLiquidArray MTB-XDRmolecular diagnosticstuberculosis

Identifiers

PMID39663850
PMCPMC12314493

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.