Evidence map›Paper›PMID 26771187›Full record

ArticlePLoS neglected tropical diseases2016

Early Regulation of Profibrotic Genes in Primary Human Cardiac Myocytes by Trypanosoma cruzi.

Aniekanabassi N Udoko, Candice A Johnson, Andrey Dykan, Girish Rachakonda, Fernando Villalta, Sammed N Mandape, Maria F Lima, Siddharth Pratap, Pius N Nde

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.1field-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, 40 citations in OpenAlex.

  1. Article
  2. Comparative microRNA profiling ofFrontiers in cellular and infection microbiology · 2023
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  3. Frontiers in cellular and infection microbiology · 2023
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  4. Immune network · 2022
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  5. Different Transcriptomic Response toFrontiers in cellular and infection microbiology · 2022
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  6. Article
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  8. Article
  9. Article
  10. piRNAs as Modulators of Disease Pathogenesis.International journal of molecular sciences · 2021
    Review
  11. Article
  12. Transcriptional Studies onFrontiers in cellular and infection microbiology · 2021
    Review
  13. Article
  14. International journal of molecular sciences · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Differential Role of TGF-β in Extracellular Matrix Regulation DuringInternational journal of molecular sciences · 2019
    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 2 institutions in 1 country.

Aniekanabassi N UdokoDepartment of Microbiology and Immunology, Meharry Medical College, Nashville, Tennessee, United States of America.
Candice A JohnsonFood and Drug Administration, Silver Spring, Maryland, United States of America.
Andrey DykanDepartment of Microbiology and Immunology, Meharry Medical College, Nashville, Tennessee, United States of America.
Girish RachakondaDepartment of Microbiology and Immunology, Meharry Medical College, Nashville, Tennessee, United States of America.
Fernando VillaltaDepartment of Microbiology and Immunology, Meharry Medical College, Nashville, Tennessee, United States of America.
Sammed N MandapeDepartment of Microbiology and Immunology, Meharry Medical College, Nashville, Tennessee, United States of America.
Maria F LimaDepartment of Microbiology and Immunology, Meharry Medical College, Nashville, Tennessee, United States of America.
Siddharth PratapDepartment of Microbiology and Immunology, Meharry Medical College, Nashville, Tennessee, United States of America.
Pius N NdeDepartment of Microbiology and Immunology, Meharry Medical College, Nashville, Tennessee, United States of America.
Meharry Medical College · USUnited States Food and Drug Administration · US

Funding

The RCMI Program in Health Disparities Research at Meharry Medical College - SupplementU54MD007586 · NIMHD · MEHARRY MEDICAL COLLEGE · PI Maureen Sanderson · 2017 to 2026
$48.2M
Technologies and Resources CoreU54MD007593 · NIMHD · MEHARRY MEDICAL COLLEGE · PI ADUNYAH, SAMUEL EVANS · 2012 to 2018
$24.7M
THE MEHARRY RISE INITIATIVER25GM059994 · NIGMS · MEHARRY MEDICAL COLLEGE · PI MOTLEY-JOHNSON, EVANGELINE D · 1999 to 2021
$23.0M
Meharry RCMI Program in Women's Health ResearchG12MD007586 · NIMHD · MEHARRY MEDICAL COLLEGE · PI HILDRETH, JAMES E · 2012 to 2016
$7.8M
Research Training in Cardivascular Biology at MeharryT32HL007737 · NHLBI · MEHARRY MEDICAL COLLEGE · PI MARTIN, PAMELA M · 1993 to 2025
$4.7M
MOLECULAR PARASITOLOGY TRAINING PROGRAMT32AI007281 · NIAID · MEHARRY MEDICAL COLLEGE · PI NDE, PIUS N · 1985 to 2025
$3.2M
Molecular Analysis of Trypanosome InfectionSC1AI080580 · NIAID · MEHARRY MEDICAL COLLEGE · PI VILLALTA, FERNANDO · 2008 to 2010
$1.1M
Novel trypanosome receptor for thrombospondin-1SC2AI083925 · NIAID · MEHARRY MEDICAL COLLEGE · PI NDE, PIUS N · 2009 to 2011
$435k
NHLBI NIH HHS T32 HL007737NIAID NIH HHS AI007281NIAID NIH HHS AI080580NIAID NIH HHS AI083925NIAID NIH HHS SC1 AI080580NIAID NIH HHS SC2 AI083925NIAID NIH HHS T32 AI007281NIGMS NIH HHS GM059994NIGMS NIH HHS R25 GM059994NIMHD NIH HHS G12 MD007586NIMHD NIH HHS U54 MD007586NIMHD NIH HHS U54 MD007593
6 · The paper itself

Abstract

The molecular mechanisms of Trypanosoma cruzi induced cardiac fibrosis remains to be elucidated. Primary human cardiomyoctes (PHCM) exposed to invasive T. cruzi trypomastigotes were used for transcriptome profiling and downstream bioinformatic analysis to determine fibrotic-associated genes regulated early during infection process (0 to 120 minutes). The identification of early molecular host responses to T. cruzi infection can be exploited to delineate important molecular signatures that can be used for the classification of Chagasic patients at risk of developing heart disease. Our results show distinct gene network architecture with multiple gene networks modulated by the parasite with an incline towards progression to a fibrogenic phenotype. Early during infection, T. cruzi significantly upregulated transcription factors including activator protein 1 (AP1) transcription factor network components (including FOSB, FOS and JUNB), early growth response proteins 1 and 3 (EGR1, EGR3), and cytokines/chemokines (IL5, IL6, IL13, CCL11), which have all been implicated in the onset of fibrosis. The changes in our selected genes of interest did not all start at the same time point. The transcriptome microarray data, validated by quantitative Real-Time PCR, was also confirmed by immunoblotting and customized Enzyme Linked Immunosorbent Assays (ELISA) array showing significant increases in the protein expression levels of fibrogenic EGR1, SNAI1 and IL 6. Furthermore, phosphorylated SMAD2/3 which induces a fibrogenic phenotype is also upregulated accompanied by an increased nuclear translocation of JunB. Pathway analysis of the validated genes and phospho-proteins regulated by the parasite provides the very early fibrotic interactome operating when T. cruzi comes in contact with PHCM. The interactome architecture shows that the parasite induces both TGF-β dependent and independent fibrotic pathways, providing an early molecular foundation for Chagasic cardiomyopathy. Examining the very early molecular events of T. cruzi cellular infection may provide disease biomarkers which will aid clinicians in patient assessment and identification of patient subpopulation at risk of developing Chagasic cardiomyopathy.

Indexed as

Chagas CardiomyopathyCytokinesFibrosisGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansMyocytes, CardiacReal-Time Polymerase Chain ReactionTrypanosoma cruziCytokines

Identifiers

PMID26771187
PMCPMC4714843
OpenAlexW2236411446

What OpenQuestion holds

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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.