Evidence map›Paper›PMID 24053111›Full record

ArticleJournal of translational medicine2013

Variants in toll-like receptor 9 gene influence susceptibility to tuberculosis in a Mexican population.

Diana Torres-García, Alfredo Cruz-Lagunas, Ma Cecilia García-Sancho Figueroa, Rosario Fernández-Plata, Renata Baez-Saldaña, Criselda Mendoza-Milla, Rodrigo Barquera, Aida Carrera-Eusebio, Salomón Ramírez-Bravo, Lizeth Campos and 7 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 5 pooled it
3.6field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 5 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Association of polymorphisms in Toll-like receptors 4 and 9 with risk of pulmonary tuberculosis: a meta-analysis.Medical science monitor : international medical journal of experimental and clinical research · 2015
    Pooled it
  5. Pooled it
  6. Model systems to studyFrontiers in cellular and infection microbiology · 2025
    Review
  7. Article
  8. Differential Leukocyte Expression ofJournal of interferon & cytokine research : the official journal of the International Society for Interferon and Cytokine Research · 2022
    Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Single Nucleotide Polymorphisms inJournal of immunology research · 2020
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Molecular basis of mycobacterial survival in macrophages.Cellular and molecular life sciences : CMLS · 2017
    Review
  20. Review
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

17 authors at 5 institutions in 2 countries.

Diana Torres-GarcíaDepartment of Immunolgy, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Tlalpan 4502, Mexico City, 14080, Mexico. cegarsan@netscape.net.
Alfredo Cruz-Lagunas
Ma Cecilia García-Sancho Figueroa
Rosario Fernández-Plata
Renata Baez-Saldaña
Criselda Mendoza-Milla
Rodrigo Barquera
Aida Carrera-Eusebio
Salomón Ramírez-Bravo
Lizeth Campos
Javier Angeles
Gilberto Vargas-Alarcón
Julio Granados
Radha Gopal
Shabaana A Khader
Edmond J Yunis
Joaquin Zuñiga
Instituto Nacional de Enfermedades Respiratorias · MXChildren's Hospital of Pittsburgh · USInstituto Nacional de Cardiología · MXDana-Farber Cancer Institute · USInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe control of Mycobacterium tuberculosis (Mtb) infection begins with the recognition of mycobacterial structural components by toll like receptors (TLRs) and other pattern recognition receptors. Our objective was to determine the influence of TLRs polymorphisms in the susceptibility to develop tuberculosis (TB) in Amerindian individuals from a rural area of Oaxaca, Mexico with high TB incidence.

methodsWe carried out a case-control association community based study, genotyping 12 polymorphisms of TLR2, TLR4, TLR6 and TLR9 genes in 90 patients with confirmed pulmonary TB and 90 unrelated exposed but asymptomatic household contacts.

resultsWe found a significant increase in the frequency of the allele A of the TLR9 gene polymorphism rs352139 (A>G) in the group of TB patients (g.f. = 0.522) when compared with controls (g.f. = 0.383), (Pcorr = 0.01, OR = 1.75). Under the recessive model (A/G + A/A vs G/G) this polymorphism was also significantly associated with TB (Pcorr = 0.01, OR= 2.37). The association of the SNP rs352139 was statistically significant after adjustment by age, gender and comorbidities by regression logistic analysis (Dominant model: p value = 0.016, OR = 2.31; Additive model: p value = 0.023, OR = 1.68). The haplotype GAA of TLR9 SNPs was also associated with TB susceptibility (Pcorr = 0.02). Differences in the genotype or allele frequencies of TLR2, TLR4 and TLR6 polymorphisms between TB patients and healthy contacts were not detected.

conclusionsOur study suggests that the allele A of the intronic polymorphism rs352139 on TLR9 gene might contribute to the risk of developing TB in Mexican Amerindians.

Indexed as

Genetic Predisposition to DiseaseAdultCase-Control StudiesDemographyFemaleGenetic Association StudiesHaplotypesHumansLinkage DisequilibriumLogistic ModelsMaleMexicoMiddle AgedPolymorphism, Single NucleotideToll-Like Receptor 2Toll-Like Receptor 4TLR2 protein, humanTLR4 protein, humanTLR6 protein, humanTLR9 protein, humanToll-Like Receptor 2Toll-Like Receptor 4Toll-Like Receptor 6Toll-Like Receptor 9

Identifiers

PMID24053111
PMCPMC3849691
OpenAlexW2138757581

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.