Evidence map›Paper›PMID 29608573›Full record

ArticlePLoS neglected tropical diseases2018

Development of a Trypanosoma cruzi strain typing assay using MS2 peptide spectral libraries (Tc-STAMS2).

Gilberto Santos de Oliveira, Rebeca Kawahara, Livia Rosa-Fernandes, Simon Ngao Mule, Carla Cristi Avila, Marta M G Teixeira, Martin R Larsen, Giuseppe Palmisano

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Coinfection by multipleMicrobiology and molecular biology reviews : MMBR · 2025
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  3. New insights intoFrontiers in immunology · 2024
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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

8 authors at 2 institutions in 2 countries.

Gilberto Santos de OliveiraDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Rebeca KawaharaDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Livia Rosa-FernandesDepartment of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark.
Simon Ngao MuleDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.ORCID 0000-0001-6073-6341
Carla Cristi AvilaDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Marta M G TeixeiraDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Martin R LarsenDepartment of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark.
Giuseppe PalmisanoDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.ORCID 0000-0003-1336-6151
Universidade de São Paulo · BRUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChagas disease also known as American trypanosomiasis is caused by the protozoan Trypanosoma cruzi. Over the last 30 years, Chagas disease has expanded from a neglected parasitic infection of the rural population to an urbanized chronic disease, becoming a potentially emergent global health problem. T. cruzi strains were assigned to seven genetic groups (TcI-TcVI and TcBat), named discrete typing units (DTUs), which represent a set of isolates that differ in virulence, pathogenicity and immunological features. Indeed, diverse clinical manifestations (from asymptomatic to highly severe disease) have been attempted to be related to T.cruzi genetic variability. Due to that, several DTU typing methods have been introduced. Each method has its own advantages and drawbacks such as high complexity and analysis time and all of them are based on genetic signatures. Recently, a novel method discriminated bacterial strains using a peptide identification-free, genome sequence-independent shotgun proteomics workflow. Here, we aimed to develop a Trypanosoma cruzi Strain Typing Assay using MS/MS peptide spectral libraries, named Tc-STAMS2. METHODS/PRINCIPAL

findingsThe Tc-STAMS2 method uses shotgun proteomics combined with spectral library search to assign and discriminate T. cruzi strains independently on the genome knowledge. The method is based on the construction of a library of MS/MS peptide spectra built using genotyped T. cruzi reference strains. For identification, the MS/MS peptide spectra of unknown T. cruzi cells are identified using the spectral matching algorithm SpectraST. The Tc-STAMS2 method allowed correct identification of all DTUs with high confidence. The method was robust towards different sample preparations, length of chromatographic gradients and fragmentation techniques. Moreover, a pilot inter-laboratory study showed the applicability to different MS platforms. CONCLUSIONS AND SIGNIFICANCE: This is the first study that develops a MS-based platform for T. cruzi strain typing. Indeed, the Tc-STAMS2 method allows T. cruzi strain typing using MS/MS spectra as discriminatory features and allows the differentiation of TcI-TcVI DTUs. Similar to genomic-based strategies, the Tc-STAMS2 method allows identification of strains within DTUs. Its robustness towards different experimental and biological variables makes it a valuable complementary strategy to the current T. cruzi genotyping assays. Moreover, this method can be used to identify DTU-specific features correlated with the strain phenotype.

Indexed as

Peptide LibraryChagas DiseaseDNA, ProtozoanHumansProof of Concept StudyProteomicsTandem Mass SpectrometryTrypanosoma cruziDNA, ProtozoanPeptide Library

Identifiers

PMID29608573
PMCPMC5897034
OpenAlexW2796197949

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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.