Evidence map›Paper›PMID 35207580›Full record

ArticleLife (Basel, Switzerland)2022

Multi-Omics Characterization of a Human Stem Cell-Based Model of Cardiac Hypertrophy.

Markus Johansson, Benjamin Ulfenborg, Christian X Andersson, Sepideh Heydarkhan-Hagvall, Anders Jeppsson, Peter Sartipy, Jane Synnergren

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  7. Data Mining IdentifiesLife (Basel, Switzerland) · 2022
    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

7 authors at 3 institutions in 1 country.

Markus JohanssonSystems Biology Research Center, School of Bioscience, University of Skövde, SE-541 28 Skövde, Sweden.ORCID 0000-0002-5134-4749
Benjamin UlfenborgSystems Biology Research Center, School of Bioscience, University of Skövde, SE-541 28 Skövde, Sweden.ORCID 0000-0001-9242-4852
Christian X AnderssonBioPharmaceuticals R&D Cell Therapy, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, SE-413 83 Gothenburg, Sweden.
Sepideh Heydarkhan-HagvallSystems Biology Research Center, School of Bioscience, University of Skövde, SE-541 28 Skövde, Sweden.
Anders JeppssonDepartment of Molecular and Clinical Medicine, Institute of Medicine, The Sahlgrenska Academy at University of Gothenburg, SE-413 45 Gothenburg, Sweden.
Peter SartipySystems Biology Research Center, School of Bioscience, University of Skövde, SE-541 28 Skövde, Sweden.
Jane SynnergrenSystems Biology Research Center, School of Bioscience, University of Skövde, SE-541 28 Skövde, Sweden.
University of Skövde · SEAstraZeneca (Sweden) · SESahlgrenska University Hospital · SE

Funding

Foundation for Knowledge 20160294, 20160330
6 · The paper itself

Abstract

Cardiac hypertrophy is an important and independent risk factor for the development of cardiac myopathy that may lead to heart failure. The mechanisms underlying the development of cardiac hypertrophy are yet not well understood. To increase the knowledge about mechanisms and regulatory pathways involved in the progression of cardiac hypertrophy, we have developed a human induced pluripotent stem cell (hiPSC)-based in vitro model of cardiac hypertrophy and performed extensive characterization using a multi-omics approach. In a series of experiments, hiPSC-derived cardiomyocytes were stimulated with Endothelin-1 for 8, 24, 48, and 72 h, and their transcriptome and secreted proteome were analyzed. The transcriptomic data show many enriched canonical pathways related to cardiac hypertrophy already at the earliest time point, e.g., cardiac hypertrophy signaling. An integrated transcriptome-secretome analysis enabled the identification of multimodal biomarkers that may prove highly relevant for monitoring early cardiac hypertrophy progression. Taken together, the results from this study demonstrate that our in vitro model displays a hypertrophic response on both transcriptomic- and secreted-proteomic levels. The results also shed novel insights into the underlying mechanisms of cardiac hypertrophy, and novel putative early cardiac hypertrophy biomarkers have been identified that warrant further investigation to assess their potential clinical relevance.

Indexed as

cardiac hypertrophycardiomyocytesdisease modelendothelin-1proteomicsstem cellstranscriptomics

Identifiers

PMID35207580
PMCPMC8875317
OpenAlexW4212826057

What Socratic 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 Socratic graph.