Evidence map›Paper›PMID 38390336›Full record

ArticleFrontiers in immunology2024

Correlation of blood-based immune molecules with cardiac gene expression profiles reveals insights into Chagas cardiomyopathy pathogenesis.

Thaiany G Souza-Silva, Eula G A Neves, Carolina Koh, Andrea Teixeira-Carvalho, Silvana Silva Araújo, Maria do Carmo Pereira Nunes, Juliana de Assis Silva Gomes, Kenneth J Gollob, Walderez Ornelas Dutra

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 8 citations in OpenAlex.

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  9. Signatures of CD4Frontiers 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

9 authors at 3 institutions in 1 country.

Thaiany G Souza-SilvaLaboratório Biologia das Interações Celulares, Departament de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Eula G A NevesLaboratório Biologia das Interações Celulares, Departament de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Carolina KohLaboratório Biologia das Interações Celulares, Departament de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Andrea Teixeira-CarvalhoRene Rachou Institute, Fundação Oswaldo Cruz (FIOCRUZ), Belo Horizonte, MG, Brazil.
Silvana Silva AraújoClínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Maria do Carmo Pereira NunesClínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Juliana de Assis Silva GomesLaboratório Biologia das Interações Celulares, Departament de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Kenneth J GollobHospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Walderez Ornelas DutraLaboratório Biologia das Interações Celulares, Departament de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Universidade Federal de Minas Gerais · BRFundação Oswaldo Cruz · BRInstituto Nacional de Ciência e Tecnologia de Doenças Tropicais · BR

Funding

Role of CD4-CD8- DN T cells in Chagas CardiomyopathyR01AI138230 · NIAID · FOUNDATION FOR RESEARCH DEVELOPMENT · PI DUTRA, WALDEREZ O. · 2018 to 2021
$540k
NIAID NIH HHS R01 AI138230
6 · The paper itself

Abstract

Introduction: Understanding compartmentalized immune responses in target organs is crucial for elucidating the pathogenesis of various diseases. However, obtaining samples from affected vital organs often poses safety challenges. In this study, we aimed to investigate potential correlations between the levels of disease-associated immune molecules in the bloodstream with their gene expression profiles in the hearts of patients suffering from Chagas Cardiomyopathy (CCC). This debilitating and often fatal condition is caused by infection with the protozoan Trypanosoma cruzi. Methods: Blood samples were analyzed using the Bio-Plex platform. Gene Expression Omnibus (GEO) database was used to determine gene expression profile in heart tissue from CCC and non-Chagas controls (CTRL). Results: Elevated levels of inflammatory cytokines were detected in the plasma of CCC patients, and these levels correlated with clinical indicators of deteriorating cardiac function. Notably, 75% of the soluble factors assessed in the plasma exhibited a consistent relationship with their gene expression levels in the cardiac tissue of CCC patients. Analysis of interactions and signaling pathways related to these molecules revealed an overrepresentation of inflammatory pathways in both blood and heart compartments. Moreover, we identified that differentially expressed genes in CCC cardiac tissue were primarily associated with T-cell signaling pathways and correlated with the presence of CD8+ T cells in the myocardium. Discussion: Our findings establish a strong correlation between relevant immune molecules and their signaling pathways in both the blood and heart tissue in CCC. This validates the use of blood as a non-invasive medium for understanding immunopathology and identifying markers for cardiac dysfunction in Chagas disease.

Indexed as

Chagas CardiomyopathyTrypanosoma cruziHeartHumansMyocardiumTranscriptomeChagas Cardiomyopathycirculationgene expression profilinginflammationT cells

Identifiers

PMID38390336
PMCPMC10882095
OpenAlexW4391649840

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.