Evidence map›Paper›PMID 28003350›Full record

ArticleThe Journal of infectious diseases2017

Blood Gene Signatures of Chagas Cardiomyopathy With or Without Ventricular Dysfunction.

Ludmila Rodrigues Pinto Ferreira, Frederico Moraes Ferreira, Helder Imoto Nakaya, Xutao Deng, Darlan da Silva Cândido, Lea Campos de Oliveira, Jean-Noel Billaud, Marion C Lanteri, Vagner Oliveira-Carvalho Rigaud, Mark Seielstad and 5 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
3.8field-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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Vaccines against chronicExpert review of vaccines · 2026
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  13. Article
  14. Article
  15. Cytotoxic CD4eLife · 2022
    Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 9 institutions in 5 countries.

Ludmila Rodrigues Pinto FerreiraLaboratory of Immunology and.
Frederico Moraes FerreiraLaboratory of Immunology and.
Helder Imoto NakayaDepartment of Pathophysiology and Toxicology, School of Pharmaceutical Sciences, and.
Xutao DengBlood Systems Research Institute and.
Darlan da Silva CândidoLaboratory of Immunology and.
Lea Campos de OliveiraInstitute of Tropical Medicine, Department of Infectious Disease, University of São Paulo.
Jean-Noel BillaudDepartment of Bioinformatics, Qiagen, Redwood City, California.
Marion C LanteriBlood Systems Research Institute and.
Vagner Oliveira-Carvalho RigaudLaboratory of Immunology and.
Mark SeielstadBlood Systems Research Institute and.
Jorge KalilLaboratory of Immunology and.
Fabio FernandesCardiomyopathy Unit, Heart Institute, and.
Antonio Luiz P RibeiroHospital das Clínicas and.
Ester Cerdeira SabinoInstitute of Tropical Medicine, Department of Infectious Disease, University of São Paulo.
Edecio Cunha-NetoLaboratory of Immunology and.
Blood Systems Research Institute · USENT and Allergy · USLaboratory of Molecular Genetics · PLUniversidade de São Paulo · BREmory University · USHospital de Clínicas · UYNational Institute of Science and Technology · IDQiagen (United States) · USUniversidade de Santo Amaro · BR

Funding

Sao Paulo-Minas Gerais Tropical Medicine Research Center for Chagas Disease Biomarker DiscoveryU19AI098461 · NIAID · FUNDACAO FACULDADE DE MEDICINA · PI RIBEIRO, ANTONIO LUIZ PINHO · 2017 to 2021
$2.1M
Sao Paulo- MInas Gerais Neglected Tropical Disease Research Center for BiomarkerP50AI098461 · NIAID · FUNDACAO FACULDADE DE MEDICINA · PI SABINO, ESTER CERDEIRA · 2012 to 2016
$1.5M
NIAID NIH HHS P50 AI098461NIAID NIH HHS U19 AI098461
6 · The paper itself

Abstract

Chagas disease, caused by the protozoan parasite Trypanosoma cruzi, affects 7 million people in Latin American areas of endemicity. About 30% of infected patients will develop chronic Chagas cardiomyopathy (CCC), an inflammatory cardiomyopathy characterized by hypertrophy, fibrosis, and myocarditis. Further studies are necessary to understand the molecular mechanisms of disease progression. Transcriptome analysis has been increasingly used to identify molecular changes associated with disease outcomes. We thus assessed the whole-blood transcriptome of patients with Chagas disease. Microarray analysis was performed on blood samples from 150 subjects, of whom 30 were uninfected control patients and 120 had Chagas disease (1 group had asymptomatic disease, and 2 groups had CCC with either a preserved or reduced left ventricular ejection fraction [LVEF]). Each Chagas disease group displayed distinct gene expression and functional pathway profiles. The most different expression patterns were between CCC groups with a preserved or reduced LVEF. A more stringent analysis indicated that 27 differentially expressed genes, particularly those related to natural killer (NK)/CD8+ T-cell cytotoxicity, separated the 2 groups. NK/CD8+ T-cell cytotoxicity could play a role in determining Chagas disease progression. Understanding genes associated with disease may lead to improved insight into CCC pathogenesis and the identification of prognostic factors for CCC progression.

Indexed as

CD8-Positive T-LymphocytesChagas CardiomyopathyCytotoxicity, ImmunologicGene Expression ProfilingGene Regulatory NetworksHumansKiller Cells, NaturalMicroarray AnalysisMiddle AgedMyocardiumReal-Time Polymerase Chain ReactionVentricular DysfunctionCardiomyopathyChagas diseaseNK cells.whole-blood transcriptome

Identifiers

PMID28003350
PMCPMC6095079
OpenAlexW2561503638

What OpenQuestion holds

Textmetadata
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.