Evidence map›Paper›PMID 22545169›Full record

ArticlePLoS neglected tropical diseases2012

Pathogen-specific epitopes as epidemiological tools for defining the magnitude of Mycobacterium leprae transmission in areas endemic for leprosy.

Marcia V S B Martins, Marjorie M da S Guimarães, John S Spencer, Mariana A V B Hacker, Luciana S Costa, Fernanda M Carvalho, Annemieke Geluk, Jolien J van der Ploeg-van Schip, Maria A A Pontes, Heitor S Gonçalves and 5 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PLoS neglected tropical diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Interplay among differential exposure toFrontiers in immunology · 2023
    Article
  7. Article
  8. Article
  9. Modulation of the Response toFrontiers in microbiology · 2022
    Review
  10. Article
  11. TLR-9 Plays a Role inFrontiers in immunology · 2021
    Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
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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

15 authors at 5 institutions in 3 countries.

Marcia V S B MartinsLaboratory of Cellular Microbiology, Oswaldo Cruz Institute, FIOCRUZ, Rio de Janeiro, Brazil.
Marjorie M da S Guimarães
John S Spencer
Mariana A V B Hacker
Luciana S Costa
Fernanda M Carvalho
Annemieke Geluk
Jolien J van der Ploeg-van Schip
Maria A A Pontes
Heitor S Gonçalves
Janvier P de Morais
Tereza J P G Bandeira
Maria C V Pessolani
Patrick J Brennan
Geraldo M B Pereira
Fundação Oswaldo Cruz · BRColorado State University · USInstituto de Dermatologia Dona Libania · BRLeiden University Medical Center · NLUniversidade do Estado do Rio de Janeiro · BR

Funding

Leprosy Bacillus: From Genotype to Phenotype to ToolsR01AI047197 · NIAID · COLORADO STATE UNIVERSITY-FORT COLLINS · PI BRENNAN, PATRICK JOSEPH · 2001 to 2009
$3.2M
LEPROSY RESEARCH SUPPORTN01AI055262 · NIAID · COLORADO STATE UNIVERSITY-FORT COLLINS · PI BRENNEN, PATRICK J · 1995 to 2000
$426k
Leprosy Research Support-Post Genome -26625469N01AI025469 · NIAID · Colorado State University · 2004 to 2004
–
NIAID NIH HHS AI 47197NIAID NIH HHS AI-55262NIAID NIH HHS N01 AI025469NIAID NIH HHS R01 AI047197
6 · The paper itself

Abstract

During recent years, comparative genomic analysis has allowed the identification of Mycobacterium leprae-specific genes with potential application for the diagnosis of leprosy. In a previous study, 58 synthetic peptides derived from these sequences were tested for their ability to induce production of IFN-γ in PBMC from endemic controls (EC) with unknown exposure to M. leprae, household contacts of leprosy patients and patients, indicating the potential of these synthetic peptides for the diagnosis of sub- or preclinical forms of leprosy. In the present study, the patterns of IFN-γ release of the individuals exposed or non-exposed to M. leprae were compared using an Artificial Neural Network algorithm, and the most promising M. leprae peptides for the identification of exposed people were selected. This subset of M. leprae-specific peptides allowed the differentiation of groups of individuals from sites hyperendemic for leprosy versus those from areas with lower level detection rates. A progressive reduction in the IFN-γ levels in response to the peptides was seen when contacts of multibacillary (MB) patients were compared to other less exposed groups, suggesting a down modulation of IFN-γ production with an increase in bacillary load or exposure to M. leprae. The data generated indicate that an IFN-γ assay based on these peptides applied individually or as a pool can be used as a new tool for predicting the magnitude of M. leprae transmission in a given population.

Indexed as

Antigens, BacterialAdultAgedEpitopesFemaleHumansInterferon-gamma Release TestsLeprosyMaleMiddle AgedMycobacterium lepraeNeural Networks, ComputerAntigens, BacterialEpitopes

Identifiers

PMID22545169
PMCPMC3335884
OpenAlexW2038407955

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.