Evidence map›Paper›PMID 35468920›Full record

ArticleNPJ Regenerative medicine2022

Customized bioreactor enables the production of 3D diaphragmatic constructs influencing matrix remodeling and fibroblast overgrowth.

Edoardo Maghin, Eugenia Carraro, Daniele Boso, Arben Dedja, Mattia Giagante, Paola Caccin, Raluca Ana-Maria Barna, Silvia Bresolin, Alice Cani, Giulia Borile and 8 more

Abstract read
In one paragraph

Article in NPJ Regenerative medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
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  3. Article
  4. Article
  5. Review
  6. Tissue-engineered neuromuscular organoids.Communications biology · 2025
    Article
  7. Article
  8. Review
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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

18 authors.

Edoardo Maghin *Tissue Engineering Lab, Fondazione Istituto di Ricerca Pediatrica Città della Speranza, Padova, Italy.
Eugenia Carraro *Tissue Engineering Lab, Fondazione Istituto di Ricerca Pediatrica Città della Speranza, Padova, Italy.
Daniele BosoTissue Engineering Lab, Fondazione Istituto di Ricerca Pediatrica Città della Speranza, Padova, Italy.
Arben DedjaDepartment of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Padova, Italy.
Mattia GiaganteTissue Engineering Lab, Fondazione Istituto di Ricerca Pediatrica Città della Speranza, Padova, Italy.
Paola CaccinDepartment of Biomedical Sciences, University of Padova, Padova, Italy.
Raluca Ana-Maria BarnaDepartment of Industrial Engineering, University of Padova, Padova, Italy.
Silvia BresolinOnco-Hematology Lab, Department of Women's and Children's Health, University of Padova, Padova, Italy.
Alice CaniOnco-Hematology Lab, Department of Women's and Children's Health, University of Padova, Padova, Italy.ORCID http://orcid.org/0000-0001-8467-2426
Giulia BorileOptics and Bioimaging Lab, Fondazione Istituto di Ricerca Pediatrica Città della Speranza, Padova, Italy.
Deborah SandrinOptics and Bioimaging Lab, Fondazione Istituto di Ricerca Pediatrica Città della Speranza, Padova, Italy.
Filippo RomanatoOptics and Bioimaging Lab, Fondazione Istituto di Ricerca Pediatrica Città della Speranza, Padova, Italy.
Francesca CecchinatoNeuromuscular Engineering Lab, Fondazione Istituto di Ricerca Pediatrica Città della Speranza, Padova, Italy.
Anna UrciuoloL.I.F.E.L.A.B. Program, Consorzio per la Ricerca Sanitaria (CORIS), Veneto Region, Padova, Italy.
Dorianna SandonàDepartment of Biomedical Sciences, University of Padova, Padova, Italy.ORCID http://orcid.org/0000-0002-9908-2442
Paolo De CoppiDepartment of Specialist Neonatal and Pediatric Surgery, Great Ormond Street Hospital, London, UK.ORCID http://orcid.org/0000-0002-1659-0207
Piero G PavanTissue Engineering Lab, Fondazione Istituto di Ricerca Pediatrica Città della Speranza, Padova, Italy. piero.pavan@unipd.it.ORCID http://orcid.org/0000-0002-3875-9640
Martina PiccoliTissue Engineering Lab, Fondazione Istituto di Ricerca Pediatrica Città della Speranza, Padova, Italy. m.piccoli@irpcds.org.ORCID http://orcid.org/0000-0001-6211-0051

Funding

Fondazione Cassa di Risparmio di Padova e Rovigo (Foundation Cariparo) Ricerca Pediatrica 20016-2018Fondazione Cassa di Risparmio di Padova e Rovigo (Foundation Cariparo) Ricerca Pediatrica 2016-2018Fondazione Cassa di Risparmio di Padova e Rovigo (Foundation Cariparo) Ricerca Pediatrica 2018-2020
6 · The paper itself

Abstract

The production of skeletal muscle constructs useful for replacing large defects in vivo, such as in congenital diaphragmatic hernia (CDH), is still considered a challenge. The standard application of prosthetic material presents major limitations, such as hernia recurrences in a remarkable number of CDH patients. With this work, we developed a tissue engineering approach based on decellularized diaphragmatic muscle and human cells for the in vitro generation of diaphragmatic-like tissues as a proof-of-concept of a new option for the surgical treatment of large diaphragm defects. A customized bioreactor for diaphragmatic muscle was designed to control mechanical stimulation and promote radial stretching during the construct engineering. In vitro tests demonstrated that both ECM remodeling and fibroblast overgrowth were positively influenced by the bioreactor culture. Mechanically stimulated constructs also increased tissue maturation, with the formation of new oriented and aligned muscle fibers. Moreover, after in vivo orthotopic implantation in a surgical CDH mouse model, mechanically stimulated muscles maintained the presence of human cells within myofibers and hernia recurrence did not occur, suggesting the value of this approach for treating diaphragm defects.

Identifiers

PMID35468920
PMCPMC9038738

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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.