Evidence map›Paper›PMID 40587400›Full record

ArticleJournal of visualized experiments : JoVE2025

Mycobacterial DNA Extraction using Bead Beating in Custom Buffer Followed by NGS Workflow.

Jason D Limberis, Alina Nalyvayko, Janré Steyn, Jennifer Williams, Melanie Grobbelaar, Robin M Warren, John Z Metcalfe

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jason D Limberis *Division of Experimental Medicine, University of California, San Francisco.
Alina Nalyvayko *Division of Experimental Medicine, University of California, San Francisco; alina.nalyvayko@ucsf.edu.
Janré SteynDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, SAMRC for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University.
Jennifer WilliamsDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, SAMRC for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University.
Melanie GrobbelaarDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, SAMRC for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University.
Robin M Warren *DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, SAMRC for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University.
John Z Metcalfe *Division of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General Hospital and Trauma Centre, University of California, San Francisco.

Funding

Handheld and population-based sequencing for rapid detection of new and repurposed drug resistance in M. tuberculosisR01AI153213 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI David M Engelthaler, John Zapata Metcalfe · 2021 to 2026
$3.7M
NIAID NIH HHS R01 AI153213
6 · The paper itself

Abstract

Tuberculosis is a deadly disease, and the emergence of antibiotic drug resistance in the causative agent bacterium, Mycobacterium tuberculosis, worsens treatment outcomes. Precise and rapid drug resistance identification through sequencing technologies is needed to improve tuberculosis patient outcomes through tailored therapeutic regimens. The DNA extraction method is critical for downstream molecular assays and is complicated by the tough cell wall of Mycobacterium, the low bacillary load of many clinical samples, and the complexity of the sputum matrix. There are numerous M. tuberculosis DNA extraction methods reported, but there is currently no gold standard. Furthermore, few of these methods are shown to work consistently, and many are not suitable for low-resource and high-burden tuberculosis settings. Consequently, laboratories frequently introduce their own procedure modifications, resulting in significant method variability. Here, we present a cost-effective, rapid, and standardized protocol for Mycobacterial DNA extraction from both clinical sputum and culture that produces DNA suitable for qPCR, and which should be considered for use in clinical diagnostics laboratories.

Indexed as

DNA, BacterialHigh-Throughput Nucleotide SequencingMycobacterium tuberculosisHumansSputumTuberculosisWorkflowDNA, Bacterial

Identifiers

PMID40587400
PMCPMC12818038

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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.