Evidence map›Paper›PMID 17021107›Full record

ArticleJournal of clinical microbiology2006

Design, construction, and evaluation of a specific chimeric antigen to diagnose chagasic infection.

Sebastián Aguirre, Ariel M Silber, Maria Edileuza F Brito, María E Ribone, Claudia M Lagier, Iván S Marcipar

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

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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

6 authors.

Sebastián AguirreInstituto de Tecnología Biológica, INTEBIO, Universidad Nacional del Litoral, Santa Fe, Argentina.
Ariel M Silber
Maria Edileuza F Brito
María E Ribone
Claudia M Lagier
Iván S Marcipar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chagas' disease is routinely diagnosed by detecting specific antibodies (Abs) using serological methods. The methodology has the drawback of potential cross-reactions with Abs raised during other infectious and autoimmune diseases (AID). Fusion of DNA sequences encoding antigenic proteins is a versatile tool to engineer proteins to be used as sensitizing elements in serological tests. A synthetic gene encoding a chimeric protein containing the C-terminal region of C29 and the N-terminal region of TcP2beta was constructed. A 236-serum panel, composed of 104 reactive and 132 nonreactive sera to Chagas' disease, was used to evaluate the performance of the chimera. Among the nonreactive sera, 65 were from patients with AID (systemic lupus erythematosus and rheumatoid arthritis) or patients infected with Leishmania brasiliensis, Brucella abortus, Streptococcus pyogenes, or Toxoplasma gondii. The diagnostic performances of the complete TcP2beta (TcP2betaFL) and its N-terminal region (TcP2betaN) were evaluated. TcP2betaFL showed unspecific recognition toward leishmaniasis (40%) and AID Abs (58%), while TcP2betaN showed no unspecific recognition. The diagnostic utility of the chimera was evaluated by analyzing reactivity and comparing the results with those obtained with TcP2betaN. The chimera reactivity was higher than that of the peptide fractions (0.874 versus 0.564 optical density, P = 0.0017). The detectability and specificity were both 100% for the whole serum panel tested. We conclude that the obtained chimera shows an improved selectivity and sensitivity compared with other ones previously reported, therefore displaying an optimized performance for Trypanosoma cruzi infection diagnosis.

Indexed as

AnimalsAntigens, ProtozoanChagas DiseaseHumansMolecular Sequence DataRecombinant Fusion ProteinsSensitivity and SpecificityTrypanosoma cruziAntigens, ProtozoanRecombinant Fusion Proteins

Identifiers

PMID17021107
PMCPMC1594800

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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.