Evidence map›Paper›PMID 38861531›Full record

ArticlePloS one2024

Whole Genome Sequencing of Mycobacterium tuberculosis under routine conditions in a high-burden area of multidrug-resistant tuberculosis in Peru.

Zully M Puyén, David Santos-Lázaro, Aiko N Vigo, Vidia V Cotrina, Nathaly Ruiz-Nizama, Miriam J Alarcón, Belisa Asto, Teresa Huamán, David A J Moore

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Genomic characterization of drug-resistantFrontiers in tuberculosis · 2026
    Article
  3. Decoding EcuadorianBiomedicines · 2025
    Article
  4. Frontiers in microbiology · 2025
    Article
  5. Article
  6. Article
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

9 authors.

Zully M PuyénLaboratorio de Referencia Nacional de Micobacterias, Instituto Nacional de Salud, Lima, Perú.ORCID 0000-0002-5068-0986
David Santos-LázaroLaboratorio de Referencia Nacional de Micobacterias, Instituto Nacional de Salud, Lima, Perú.
Aiko N VigoLaboratorio de Referencia Nacional de Micobacterias, Instituto Nacional de Salud, Lima, Perú.
Vidia V CotrinaLaboratorio de Referencia Nacional de Micobacterias, Instituto Nacional de Salud, Lima, Perú.
Nathaly Ruiz-NizamaLaboratorio de Referencia Nacional de Micobacterias, Instituto Nacional de Salud, Lima, Perú.
Miriam J AlarcónLaboratorio de Referencia Nacional de Micobacterias, Instituto Nacional de Salud, Lima, Perú.
Belisa AstoLaboratorio de Referencia Nacional de Micobacterias, Instituto Nacional de Salud, Lima, Perú.
Teresa HuamánLaboratorio de Referencia Nacional de Micobacterias, Instituto Nacional de Salud, Lima, Perú.
David A J MooreUniversidad Peruana Cayetano Heredia, Lima, Perú.ORCID 0000-0002-3748-0154

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole Genome Sequencing (WGS) is a promising tool in the global fight against tuberculosis (TB). The aim of this study was to evaluate the use of WGS in routine conditions for detection of drug resistance markers and transmission clusters in a multidrug-resistant TB hot-spot area in Peru. For this, 140 drug-resistant Mycobacterium tuberculosis strains from Lima and Callao were prospectively selected and processed through routine (GenoType MTBDRsl and BACTEC MGIT) and WGS workflows, simultaneously. Resistance was determined in accordance with the World Health Organization mutation catalogue. Agreements between WGS and BACTEC results were calculated for rifampicin, isoniazid, pyrazinamide, moxifloxacin, levofloxacin, amikacin and capreomycin. Transmission clusters were determined using different cut-off values of Single Nucleotide Polymorphism differences. 100% (140/140) of strains had valid WGS results for 13 anti-TB drugs. However, the availability of final, definitive phenotypic BACTEC MGIT results varied by drug with 10-17% of invalid results for the seven compared drugs. The median time to obtain results of WGS for the complete set of drugs was 11.5 days, compared to 28.6-52.6 days for the routine workflow. Overall categorical agreement by WGS and BACTEC MGIT for the compared drugs was 96.5%. Kappa index was good (0.65≤k≤1.00), except for moxifloxacin, but the sensitivity and specificity values were high for all cases. 97.9% (137/140) of strains were characterized with only one sublineage (134 belonging to "lineage 4" and 3 to "lineage 2"), and 2.1% (3/140) were mixed strains presenting two different sublineages. Clustering rates of 3.6% (5/140), 17.9% (25/140) and 22.1% (31/140) were obtained for 5, 10 and 12 SNP cut-off values, respectively. In conclusion, routine WGS has a high diagnostic accuracy to detect resistance against key current anti-TB drugs, allowing results to be obtained through a single analysis and helping to cut quickly the chain of transmission of drug-resistant TB in Peru.

Indexed as

Antitubercular AgentsMycobacterium tuberculosisTuberculosis, Multidrug-ResistantWhole Genome SequencingDrug Resistance, Multiple, BacterialFemaleGenome, BacterialHumansMaleMicrobial Sensitivity TestsPeruPolymorphism, Single NucleotideAntitubercular Agents

Identifiers

PMID38861531
PMCPMC11166294

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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.