Evidence map›Paper›PMID 39928651›Full record

ArticlePLOS global public health2025

A pragmatic pipeline for drug resistance and lineage identification in Mycobacterium tuberculosis using whole genome sequencing.

Linzy Elton, Alp Aydin, Neil Stoker, Sylvia Rofael, Letícia Muraro Wildner, Jabar Babatunde Pacome Agbo Achimi Abdul, John Tembo, Muzamil Abdel Hamid, Mfoutou Mapanguy Claujens Chastel, Julio Ortiz Canseco and 7 more

Erratum issuedAbstract read
In one paragraph

Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Modified cetyltrimethylammonium bromide DNA extraction forThe Pan African medical journal · 2026
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Linzy EltonCentre for Clinical Microbiology, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-4270-1553
Alp AydinOxford Nanopore Technologies plc. Quadram Institute, Rosalind Franklin Road, Norwich Research Park, Norwich, United Kingdom.
Neil StokerCentre for Clinical Microbiology, University College London, London, United Kingdom.
Sylvia RofaelCentre for Clinical Microbiology, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-2159-2469
Letícia Muraro WildnerCentre for Clinical Microbiology, University College London, London, United Kingdom.
Jabar Babatunde Pacome Agbo Achimi AbdulCentre de Recherches Médicales de Lambaréné, Lambaréné, Gabon.
John TemboHerpeZ, University Teaching Hospital, Lusaka, Zambia.
Muzamil Abdel HamidInstitute for Endemic Diseases, University of Khartoum, Khartoum, Sudan.ORCID https://orcid.org/0000-0002-6157-4388
Mfoutou Mapanguy Claujens ChastelFondation Congolaise pour la Recherche Médicale, Brazzaville, Republic of Congo.
Julio Ortiz CansecoFrancis Crick Institute, London, United Kingdom.
Ronan DoyleLondon School of Hygiene and Tropical Medicine, University of London, London, United Kingdom.
Giovanni SattaCentre for Clinical Microbiology, University College London, London, United Kingdom.
Justin O'GradyOxford Nanopore Technologies plc. Quadram Institute, Rosalind Franklin Road, Norwich Research Park, Norwich, United Kingdom.
Adam WitneySt George's, University of London, London, United Kingdom.
Francine NtoumiFondation Congolaise pour la Recherche Médicale, Brazzaville, Republic of Congo.
Alimuddin ZumlaCentre for Clinical Microbiology, University College London, London, United Kingdom.
Timothy D McHughCentre for Clinical Microbiology, University College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delays in accurate diagnosis of drug resistant tuberculosis (DR-TB) can hinder treatment. Whole genome sequencing (WGS) provides more information than standard molecular and phenotypic testing, but commonly used platforms are expensive to implement, and data interpretation requires significant expertise. We aimed to optimise a TB WGS diagnostic pipeline balancing user-friendliness, cost-effectiveness and time to results, whilst ensuring accuracy. Growth conditions, DNA extraction protocols and Oxford Nanopore Technologies (ONT) library preparation kits were compared. ONT was compared with Illumina protocols. Software for basecalling and analysis were evaluated to find the most accurate resistance SNP and lineage predictor. Optimally, a spin-column CTAB DNA extraction method was combined with the RBK110.96 library preparation kit, high accuracy (HAC) basecalling and data analysis using TB-Profiler. Compared with Illumina, the pipeline was concordant for 16/17 (94%) isolates (lineage) and for 17/17 (100%) isolates (resistance SNPs). Our pipeline was 71% (12/17) concordant with phenotypic drug susceptibility test (DST) results. Time-to-diagnosis was around four weeks. This optimised TB sequencing pipeline requires less time and expertise to run and analyse than Illumina, takes less time than phenotypic DSTs and the results are comparable with Illumina. The cost per sample is comparable with other methods. These features make it an important tool for incorporating into routine DR-TB diagnostic pipelines and larger scale drug resistance surveillance in all settings.

Identifiers

PMID39928651
PMCPMC11809915

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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.