Evidence map›Paper›PMID 25489950›Full record

ArticlePloS one2014

Characterization of the genetic diversity of extensively-drug resistant Mycobacterium tuberculosis clinical isolates from pulmonary tuberculosis patients in Peru.

Omar Cáceres, Nalin Rastogi, Carlos Bartra, David Couvin, Marco Galarza, Luis Asencios, Alberto Mendoza-Ticona

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Molecular epidemiology ofJournal of clinical tuberculosis and other mycobacterial diseases · 2024
    Review
  2. Article
  3. Beijing genotype ofNew microbes and new infections · 2021
    Article
  4. Article
  5. Article
  6. Article
  7. Circulation ofPathogens and global health · 2019
    Review
  8. Clonal expansion across the seas as seen through CPLP-TB database: A joint effort in cataloguing Mycobacterium tuberculosis genetic diversity in Portuguese-speaking countries.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2019
    Article
  9. Review
  10. Article
  11. Molecular & genetic characteristics ofThe Indian journal of medical research · 2017
    Article
  12. Article
  13. Article
  14. 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

7 authors at 3 institutions in 2 countries.

Omar CáceresBiotechnology and Molecular Biology Laboratory, Instituto Nacional de Salud, Lima, Peru.
Nalin RastogiWHO Supranational TB Reference Laboratory, TB and Mycobacteria Unit, Institut Pasteur de la Guadeloupe, Guadeloupe, France.
Carlos BartraMycobacterias National Reference Laboratory, Instituto Nacional de Salud, Lima, Peru.
David CouvinWHO Supranational TB Reference Laboratory, TB and Mycobacteria Unit, Institut Pasteur de la Guadeloupe, Guadeloupe, France.
Marco GalarzaBiotechnology and Molecular Biology Laboratory, Instituto Nacional de Salud, Lima, Peru.
Luis AsenciosMycobacterias National Reference Laboratory, Instituto Nacional de Salud, Lima, Peru.
Alberto Mendoza-TiconaMinisterio de Salud (MINSA), Lima, Peru.
Instituto Nacional de Salud · PEInstitut Pasteur de la Guadeloupe · GPMinistry of Health · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeru holds the fourth highest burden of tuberculosis in the Americas. Despite an apparently well-functioning DOTS control program, the prevalence of multidrug resistant tuberculosis (MDR-TB) continues to increase. To worsen this situation, cases of extensively drug resistance tuberculosis (XDR-TB) have been detected. Little information exists about the genetic diversity of drug-susceptible vs. MDR-TB and XDR-TB.

methodsCryopreserved samples of XDR strains from 2007 to 2009 (second semester), were identified and collected. Starting from 227 frozen samples, a total of 142 XDR-TB strains of Mycobacterium tuberculosis complex (MTBC; 1 isolate per patient) were retained for this study. Each strain DNA was analyzed by spoligotyping and the 15-loci Mycobacterial Interspersed Repetitive Unit (MIRU-15).

resultsAmong the 142 isolates analyzed, only 2 samples (1.41%) could not be matched to any lineage. The most prevalent sublineage was Haarlem (43.66%), followed by T (27.46%), LAM (16.2%), Beijing (9.15%), and X clade (1.41%). Spoligotype analysis identified clustering for 128/142 (90.1%) isolates vs. 49/142 (34.5%) with MIRUs. Of the samples, 90.85% belonged to retreated patients. The drug resistant profile demonstrated that 62.67% showed resistance to injectable drugs capreomycin (CAP) and kanamycin (KAN) vs. 15.5% to CAP alone and 21.8% to KAN alone. The SIT219/T1 and SIT50/H3 were the most prevalent patterns in our study. The spoligoforest analysis showed that SIT53/T1 was at the origin of many of the T lineage strains as well as a big proportion of Haarlem lineage strains (SIT50/H3, followed by SIT47/H1, SIT49/H3, and SIT2375/H1), as opposed to the SIT1/Beijing strains that did not appear to evolve into minor Beijing sublineages among the XDR-TB strains.

conclusionIn contrast with other Latin-American countries where LAM sublineage is the most predominant, we found the Haarlem to be the most common followed by T sublineage among the XDR-TB strains.

Indexed as

Genetic VariationAdultAntitubercular AgentsEvolution, MolecularExtensively Drug-Resistant TuberculosisFemaleGenetic LociGenotyping TechniquesHumansInjectionsInterspersed Repetitive SequencesMaleMiddle AgedMinisatellite RepeatsMycobacterium tuberculosisPeruAntitubercular Agents

Identifiers

PMID25489950
PMCPMC4260790
OpenAlexW2068391112

What OpenQuestion holds

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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.