Evidence map›Paper›PMID 41249964›Full record

ArticleBMC infectious diseases2025

Genomic characterization of XDR Mycobacterium tuberculosis isolates in Argentina (2006-2015).

Florencia A Castello, Ezequiel J Sosa, Josefina Campos, Johana Monteserin, Tomás Poklepovich, Miranda C Palumbo, Federico Serral, Joaquín Messano, L Gabriel García, Norberto Simboli and 7 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

17 authors.

Florencia A CastelloInstituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
Ezequiel J SosaDepartamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
Josefina CamposInstituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina.
Johana MonteserinInstituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina.
Tomás PoklepovichInstituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina.
Miranda C PalumboInstituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
Federico SerralInstituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
Joaquín MessanoInstituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
L Gabriel GarcíaInstituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
Norberto SimboliInstituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina.
Adrián TurjanskiDepartamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
Roxana PaulInstituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina.
Beatriz LópezInstituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina.
Mario MatteoInstituto de Tisioneumonología Raúl F. Vaccarezza, Hospital de Infecciosas Dr. F. J. Muñiz, Buenos Aires, Argentina.
María M PalominoDepartamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
Marcelo MartíDepartamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
Darío Fernández Do PortoInstituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina. dariofd@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB), caused by the intracellular bacterium Mycobacterium tuberculosis complex (Mtbc), remains a significant global health challenge, with Mtbc once again being the leading infectious killer worldwide. Despite over a century of research, the disease continues to pose a major threat, with an estimated one-fourth of the global population latently infected. According to the World Health Organization (WHO), approximately 1.3 million deaths were attributed to TB in 2024 alone. The emergence of multidrug-resistant (MDR) strains, resistant to isoniazid and rifampicin, and extensively drug-resistant (XDR) strains, resistant to rifampicin (and may also be resistant to isoniazid), to at least one fluoroquinolone (levofloxacin or moxifloxacin) and to at least one other Group A drug (bedaquiline or linezolid), further complicates the situation, posing significant challenges for healthcare systems. While the WHO definition of XDR-TB has recently been updated, in this study we applied the classification in effect during the 2006-2015 period, when the isolates were collected and characterized. In Argentina, TB burden is moderate compared to other countries, with approximately 10,500 new cases and 1,000 deaths reported annually. While standard therapy is generally effective, XDR Mtb infections require prolonged and costly treatment and are often associated with a guarded prognosis.

methodsIn this work, we applied whole-genome sequencing analysis to characterise XDR-TB strains circulating in Argentina between 2006 and 2015. Genotypic variants of each isolate were compared against resistance-associated variant databases and subjected to local and global phylogenetic analyses.

resultsThe analysis revealed no common origins for the most frequently observed resistance mutations. Notable variants associated with resistance to first-line drugs included katG Ser315Thr and fabG1 -15C < T for isoniazid, rpoB Ser450Leu and Asp435Val for rifampin, embB Gly406Ala, and Met306Ile for ethambutol, as well as multiple variants in the pncA gene linked to pyrazinamide resistance.

conclusionsThis study provides valuable insights into the molecular mechanisms of antibiotic resistance in M. tuberculosis, specifically focusing on XDR strains circulating in Argentina. The findings highlight the genetic diversity and complexity of resistance-associated variants, emphasizing the need for continued research and surveillance efforts to address this pressing global health threat. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Extensively Drug-Resistant TuberculosisGenome, BacterialMycobacterium tuberculosisAntitubercular AgentsArgentinaDrug Resistance, Multiple, BacterialGenomicsGenotypeHumansMicrobial Sensitivity TestsPhylogenyAntitubercular AgentsDrugsGenomicsMultiresistanceTuberculosisXDR

Identifiers

PMID41249964
PMCPMC12625239

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LicenceCC BY-NC-ND
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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.