Evidence map›Paper›PMID 28991925›Full record

ArticlePLoS neglected tropical diseases2017

Next-generation ELISA diagnostic assay for Chagas Disease based on the combination of short peptidic epitopes.

Juan Mucci, Santiago J Carmona, Romina Volcovich, Jaime Altcheh, Estefanía Bracamonte, Jorge D Marco, Morten Nielsen, Carlos A Buscaglia, Fernán Agüero

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Frontiers in microbiology · 2026
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  6. Article
  7. Article
  8. Identification of highly conservedEmerging microbes & infections · 2024
    Article
  9. Article
  10. Review
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  12. Frontiers in microbiology · 2024
    Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Article
  18. BepiPred-3.0: Improved B-cell epitope prediction using protein language models.Protein science : a publication of the Protein Society · 2022
    Article
  19. Performance of ChimericFrontiers in medicine · 2022
    Article
  20. 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

9 authors at 3 institutions in 2 countries.

Juan MucciInstituto de Investigaciones Biotecnológicas (IIB)-Instituto Tecnológico de Chascomús (INTECH), Universidad Nacional de San Martín (UNSAM)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), San Martín, Buenos Aires, Argentina.
Santiago J CarmonaInstituto de Investigaciones Biotecnológicas (IIB)-Instituto Tecnológico de Chascomús (INTECH), Universidad Nacional de San Martín (UNSAM)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), San Martín, Buenos Aires, Argentina.
Romina VolcovichServicio de Parasitología y Chagas, Hospital de Niños Ricardo Gutierrez, Ciudad Autónoma de Buenos Aires, Argentina.
Jaime AltchehServicio de Parasitología y Chagas, Hospital de Niños Ricardo Gutierrez, Ciudad Autónoma de Buenos Aires, Argentina.
Estefanía BracamonteInstituto de Patología Experimental, Facultad de Ciencias de la Salud, Universidad Nacional de Salta (UNSa)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Salta, Argentina.
Jorge D MarcoInstituto de Patología Experimental, Facultad de Ciencias de la Salud, Universidad Nacional de Salta (UNSa)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Salta, Argentina.
Morten NielsenInstituto de Investigaciones Biotecnológicas (IIB)-Instituto Tecnológico de Chascomús (INTECH), Universidad Nacional de San Martín (UNSAM)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), San Martín, Buenos Aires, Argentina.
Carlos A BuscagliaInstituto de Investigaciones Biotecnológicas (IIB)-Instituto Tecnológico de Chascomús (INTECH), Universidad Nacional de San Martín (UNSAM)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), San Martín, Buenos Aires, Argentina.
Fernán AgüeroInstituto de Investigaciones Biotecnológicas (IIB)-Instituto Tecnológico de Chascomús (INTECH), Universidad Nacional de San Martín (UNSAM)-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), San Martín, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0003-1331-5741
Consejo Nacional de Investigaciones Científicas y Técnicas · ARHospital General de Niños Ricardo Gutierrez · ARNational University of Salta · AR

Funding

HIGH-THROUGHPUT EPITOPE DISCOVERY: USE OF NEXT-GENERATION PEPTIDE CHIPS FOR FAST IDENTIFICATION AND FINE MAPPING OF DIAGNOSTIC AND PROGNOSTIC MARKERS FOR CHAGAS DISEASER01AI123070 · NIAID · INSTITUTE/RESEARCH/BIOTECHNOLOGY FDN · PI AGUERO, FERNAN GONZALO · 2016 to 2020
$611k
NIAID NIH HHS R01 AI123070
6 · The paper itself

Abstract

Chagas Disease, caused by the protozoan Trypanosoma cruzi, is a major health and economic problem in Latin America for which no vaccine or appropriate drugs for large-scale public health interventions are yet available. Accurate diagnosis is essential for the early identification and follow up of vector-borne cases and to prevent transmission of the disease by way of blood transfusions and organ transplantation. Diagnosis is routinely performed using serological methods, some of which require the production of parasite lysates, parasite antigenic fractions or purified recombinant antigens. Although available serological tests give satisfactory results, the production of reliable reagents remains laborious and expensive. Short peptides spanning linear B-cell epitopes have proven ideal serodiagnostic reagents in a wide range of diseases. Recently, we have conducted a large-scale screening of T. cruzi linear B-cell epitopes using high-density peptide chips, leading to the identification of several hundred novel sequence signatures associated to chronic Chagas Disease. Here, we performed a serological assessment of 27 selected epitopes and of their use in a novel multipeptide-based diagnostic method. A combination of 7 of these peptides were finally evaluated in ELISA format against a panel of 199 sera samples (Chagas-positive and negative, including sera from Leishmaniasis-positive subjects). The multipeptide formulation displayed a high diagnostic performance, with a sensitivity of 96.3% and a specificity of 99.15%. Therefore, the use of synthetic peptides as diagnostic tools are an attractive alternative in Chagas' disease diagnosis.

Indexed as

AdolescentAdultAmino Acid SequenceAntibodies, ProtozoanAntigens, ProtozoanChagas DiseaseChildEnzyme-Linked Immunosorbent AssayEpitope MappingEpitopesHumansMiddle AgedTrypanosoma cruziYoung AdultAntibodies, ProtozoanAntigens, ProtozoanEpitopes

Identifiers

PMID28991925
PMCPMC5648266
OpenAlexW2764290180

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.