Evidence map›Paper›PMID 37443827›Full record

ArticleCells2023

Adult Multipotent Cardiac Progenitor-Derived Spheroids: A Reproducible Model of In Vitro Cardiomyocyte Commitment and Specification.

Mariangela Scalise, Fabiola Marino, Luca Salerno, Nunzia Amato, Claudia Quercia, Chiara Siracusa, Andrea Filardo, Antonio Chiefalo, Loredana Pagano, Giuseppe Misdea and 6 more

Abstract read
In one paragraph

Article in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Generation and applications of cardiac spheroids.npj biomedical innovations · 2025
    Review
  2. Review
  3. Article
  4. Review
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

16 authors.

Mariangela ScaliseDepartment of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.
Fabiola MarinoDepartment of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.ORCID 0000-0001-9043-6032
Luca SalernoDepartment of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.
Nunzia AmatoDepartment of Medical and Surgical Sciences, Magna Graecia University, 88100 Catanzaro, Italy.
Claudia QuerciaDepartment of Medical and Surgical Sciences, Magna Graecia University, 88100 Catanzaro, Italy.
Chiara SiracusaDepartment of Medical and Surgical Sciences, Magna Graecia University, 88100 Catanzaro, Italy.
Andrea FilardoDepartment of Medical and Surgical Sciences, Magna Graecia University, 88100 Catanzaro, Italy.
Antonio ChiefaloDepartment of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.
Loredana PaganoDepartment of Medical and Surgical Sciences, Magna Graecia University, 88100 Catanzaro, Italy.
Giuseppe MisdeaDepartment of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.
Nadia SalernoDepartment of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.
Antonella De AngelisDepartment of Experimental Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.
Konrad UrbanekDepartment of Molecular Medicine and Medical Biotechnology, Federico II University, 88121 Naples, Italy.
Giuseppe VigliettoDepartment of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.
Daniele TorellaDepartment of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.ORCID 0000-0002-4915-5084
Eleonora CianfloneDepartment of Medical and Surgical Sciences, Magna Graecia University, 88100 Catanzaro, Italy.ORCID 0000-0002-1675-2093

Funding

Ministero della Salute PSC SALUTE 2014-2020, POS4 "Cal-Hub-Ria", T4-AN-09Ministry of Education, Universities and Research 2017NKB2N4_005; 20203YAYGB_005; 2020L45ZWA_005), PON-AIM-1829805-2, PNRR-National Center for Gene Therapy and Drugs based on RNA Technology" (CN00000041)
6 · The paper itself

Abstract

backgroundThree-dimensional cell culture systems hold great promise for bridging the gap between in vitro cell-based model systems and small animal models to study tissue biology and disease. Among 3D cell culture systems, stem-cell-derived spheroids have attracted significant interest as a strategy to better mimic in vivo conditions. Cardiac stem cell/progenitor (CSC)-derived spheroids (CSs) provide a relevant platform for cardiac regeneration.

methodsWe compared three different cell culture scaffold-free systems, (i) ultra-low attachment plates, (ii) hanging drops (both requiring a 2D/3D switch), and (iii) agarose micro-molds (entirely 3D), for CSC-derived CS formation and their cardiomyocyte commitment in vitro.

resultsThe switch from a 2D to a 3D culture microenvironment per se guides cell plasticity and myogenic differentiation within CS and is necessary for robust cardiomyocyte differentiation. On the contrary, 2D monolayer CSC cultures show a significant reduced cardiomyocyte differentiation potential compared to 3D CS culture. Forced aggregation into spheroids using hanging drop improves CS myogenic differentiation when compared to ultra-low attachment plates. Performing CS formation and myogenic differentiation exclusively in 3D culture using agarose micro-molds maximizes the cardiomyocyte yield.

conclusionsA 3D culture system instructs CS myogenic differentiation, thus representing a valid model that can be used to study adult cardiac regenerative biology.

Indexed as

Hematopoietic Stem CellsMyocytes, CardiacAnimalsCell DifferentiationSepharoseSepharose3D cell culturecardiac spheroidscardiomyocyte differentiationmultipotent cardiac progenitors

Identifiers

PMID37443827
PMCPMC10341123

What OpenQuestion holds

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LicenceCC BY
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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.