Evidence map›Paper›PMID 37373166›Full record

ArticleInternational journal of molecular sciences2023

Omics Analyses of Stromal Cells from ACM Patients Reveal Alterations in Chromatin Organization and Mitochondrial Homeostasis.

Melania Lippi, Angela Serena Maione, Mattia Chiesa, Gianluca Lorenzo Perrucci, Lara Iengo, Tommaso Sattin, Chiara Cencioni, Matteo Savoia, Andreas M Zeiher, Fabrizio Tundo and 3 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Disease models and AAV therapies ofMolecular therapy. Advances · 2026
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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

13 authors at 4 institutions in 2 countries.

Melania LippiUnit of Vascular Biology and Regenerative Medicine, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy.
Angela Serena MaioneUnit of Vascular Biology and Regenerative Medicine, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy.
Mattia ChiesaBioinformatics and Artificial Intelligence Facility, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy.ORCID 0000-0001-7427-9954
Gianluca Lorenzo PerrucciUnit of Vascular Biology and Regenerative Medicine, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy.
Lara IengoUnit of Vascular Biology and Regenerative Medicine, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy.
Tommaso SattinDepartment of Arrhythmology and Electrophysiology, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy.
Chiara CencioniIstituto di Analisi dei Sistemi ed Informatica "A. Ruberti", Consiglio Nazionale delle Ricerche (IASI-CNR), 00185 Rome, Italy.
Matteo SavoiaDepartment of Medicine III, Goethe University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
Andreas M ZeiherDepartment of Medicine III, Goethe University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
Fabrizio TundoHeart Rhythm Center, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy.
Claudio TondoHeart Rhythm Center, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy.
Giulio PompilioUnit of Vascular Biology and Regenerative Medicine, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy.
Elena SommarivaUnit of Vascular Biology and Regenerative Medicine, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy.ORCID 0000-0003-2172-4051
Centro Cardiologico Monzino · ITGoethe University Frankfurt · DEUniversity of Milan · ITIstituto di Analisi dei Sistemi ed Informatica Antonio Ruberti · IT

Funding

ERA-CVD JTC2016-40-021Ricerca Corrente from Italian Ministry of Health 2764167 (EF5-C)
6 · The paper itself

Abstract

Arrhythmogenic cardiomyopathy (ACM) is a genetic disorder characterized by ventricular arrhythmias, contractile dysfunctions and fibro-adipose replacement of myocardium. Cardiac mesenchymal stromal cells (CMSCs) participate in disease pathogenesis by differentiating towards adipocytes and myofibroblasts. Some altered pathways in ACM are known, but many are yet to be discovered. We aimed to enrich the understanding of ACM pathogenesis by comparing epigenetic and gene expression profiles of ACM-CMSCs with healthy control (HC)-CMSCs. Methylome analysis identified 74 differentially methylated nucleotides, most of them located on the mitochondrial genome. Transcriptome analysis revealed 327 genes that were more expressed and 202 genes that were less expressed in ACM- vs. HC-CMSCs. Among these, genes implicated in mitochondrial respiration and in epithelial-to-mesenchymal transition were more expressed, and cell cycle genes were less expressed in ACM- vs. HC-CMSCs. Through enrichment and gene network analyses, we identified differentially regulated pathways, some of which never associated with ACM, including mitochondrial functioning and chromatin organization, both in line with methylome results. Functional validations confirmed that ACM-CMSCs exhibited higher amounts of active mitochondria and ROS production, a lower proliferation rate and a more pronounced epicardial-to-mesenchymal transition compared to the controls. In conclusion, ACM-CMSC-omics revealed some additional altered molecular pathways, relevant in disease pathogenesis, which may constitute novel targets for specific therapies.

Indexed as

Mesenchymal Stem CellsMyocardiumAdipocytesChromatinHomeostasisHumansChromatinarrhythmogenic cardiomyopathycardiac mesenchymal stromal cellschromatinepithelial-to-mesenchymal transitionmethylomemitochondriaomicsproliferationtranscriptome

Identifiers

PMID37373166
PMCPMC10298442
OpenAlexW4380264178

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.