Evidence map›Paper›PMID 39237504›Full record

ArticleNature communications2024

Genetic diversity within diagnostic sputum samples is mirrored in the culture of Mycobacterium tuberculosis across different settings.

Carla Mariner-Llicer, Galo A Goig, Manuela Torres-Puente, Sergo Vashakidze, Luis M Villamayor, Belén Saavedra-Cervera, Edson Mambuque, Iza Khurtsilava, Zaza Avaliani, Alex Rosenthal and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Clinical performance of the Abbott RealTime Mycobacterium tuberculosis (MTB) PCR on bronchoscopic specimens for diagnosing pulmonary tuberculosis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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  10. Direct nanopore sequencing ofMicrobial genomics · 2026
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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

16 authors.

Carla Mariner-LlicerInstituto de Biomedicina de Valencia, IBV, CSIC, València, Spain.ORCID 0000-0002-8230-5785
Galo A GoigUniversity of Basel, Basel, Switzerland.
Manuela Torres-PuenteInstituto de Biomedicina de Valencia, IBV, CSIC, València, Spain.
Sergo VashakidzeNational Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia.
Luis M VillamayorFISABIO, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana, València, Spain.
Belén Saavedra-CerveraISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain.
Edson MambuqueCentro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique.
Iza KhurtsilavaNational Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia.
Zaza AvalianiNational Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia.
Alex RosenthalOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA.ORCID 0000-0003-4190-9045
Andrei GabrielianOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA.
Marika ShurgaiaNational Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia.
Natalia ShubladzeNational Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia.ORCID 0000-0003-0580-9629
Alberto L García-BasteiroISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain.ORCID 0000-0002-2038-5505
Mariana G LópezInstituto de Biomedicina de Valencia, IBV, CSIC, València, Spain. mglopez@ibv.csic.es.ORCID 0000-0002-2216-9232
Iñaki ComasInstituto de Biomedicina de Valencia, IBV, CSIC, València, Spain. icomas@ibv.csic.es.ORCID 0000-0001-5504-9408

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Culturing and genomic sequencing of Mycobacterium tuberculosis (MTB) from tuberculosis (TB) cases is the basis for many research and clinical applications. The alternative, culture-free sequencing from diagnostic samples, is promising but poses challenges to obtain and analyse the MTB genome. Paradoxically, culture is assumed to impose a diversity bottleneck, which, if true, would entail unexplored consequences. To unravel this paradox we generate high-quality genomes of sputum-culture pairs from two different settings after developing a workflow for sequencing from sputum and a tailored bioinformatics analysis. Careful downstream comparisons reveal sources of sputum-culture incongruences due to false positive/negative variation associated with factors like low input MTB DNA or variable genomic depths. After accounting for these factors, contrary to the bottleneck dogma, we identify a 97% variant agreement within sputum-culture pairs, with a high correlation also in the variants' frequency (0.98). The combined analysis from five different settings and more than 100 available samples shows that our results can be extrapolated to different TB epidemic scenarios, demonstrating that for the cases tested culture accurately mirrors clinical samples.

Indexed as

Genetic VariationMycobacterium tuberculosisSputumDNA, BacterialGenome, BacterialHumansTuberculosisTuberculosis, PulmonaryDNA, Bacterial

Identifiers

PMID39237504
PMCPMC11377819

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.