Bioengineering a miniaturized in vitro 3D myotube contraction monitoring chip to model muscular dystrophies.

Bioengineering Disease modeling Microfabrication Muscular dystrophy Skeletal muscle microtissues Tissue on-chip

Journal

Biomaterials
ISSN: 1878-5905
Titre abrégé: Biomaterials
Pays: Netherlands
ID NLM: 8100316

Informations de publication

Date de publication:
Feb 2023
Historique:
received: 05 10 2021
revised: 17 11 2022
accepted: 27 11 2022
pubmed: 31 12 2022
medline: 25 1 2023
entrez: 30 12 2022
Statut: ppublish

Résumé

Quantification of skeletal muscle functional contraction is essential to assess the outcomes of therapeutic procedures for neuromuscular disorders. Muscle three-dimensional "Organ-on-chip" models usually require a substantial amount of biological material, which rarely can be obtained from patient biopsies. Here, we developed a miniaturized 3D myotube culture chip with contraction monitoring capacity at the single cell level. Optimized micropatterned substrate design enabled to obtain high culture yields in tightly controlled microenvironments, with myotubes derived from primary human myoblasts displaying spontaneous contractions. Analysis of nuclear morphology confirmed similar myonuclei structure between obtained myotubes and in vivo myofibers, as compared to 2D monolayers. LMNA-related Congenital Muscular Dystrophy (L-CMD) was modeled with successful development of diseased 3D myotubes displaying reduced contraction. The miniaturized myotube technology can thus be used to study contraction characteristics and evaluate how diseases affect muscle organization and force generation. Importantly, it requires significantly fewer starting materials than current systems, which should substantially improve drug screening capability.

Identifiants

pubmed: 36584444
pii: S0142-9612(22)00575-0
doi: 10.1016/j.biomaterials.2022.121935
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

121935

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Nicolas Rose (N)

Sorbonne Université, Inserm UMRS 974, Centre de Recherche en Myologie, 75013, Paris, France. Electronic address: nicolas.92rose@gmail.com.

Berenice Estrada Chavez (B)

Sorbonne Université, Inserm UMRS 974, Centre de Recherche en Myologie, 75013, Paris, France. Electronic address: bereniceelizabeth.estradachavez@cri-paris.org.

Surabhi Sonam (S)

Université Paris Cité, CNRS, Institut Jacques Monod, F-75013, Paris, France. Electronic address: surabhi.sonam@dypiu.ac.in.

Thao Nguyen (T)

Université Paris Cité, CNRS, Institut Jacques Monod, F-75013, Paris, France. Electronic address: thao16.nguyen@gmail.com.

Gianluca Grenci (G)

Mechanobiology Institute, National University of Singapore, 117411, Singapore. Electronic address: mbigg@nus.edu.sg.

Anne Bigot (A)

Sorbonne Université, Inserm UMRS 974, Centre de Recherche en Myologie, 75013, Paris, France. Electronic address: a.bigot@institut-myologie.org.

Antoine Muchir (A)

Sorbonne Université, Inserm UMRS 974, Centre de Recherche en Myologie, 75013, Paris, France. Electronic address: a.muchir@institut-myologie.org.

Benoît Ladoux (B)

Université Paris Cité, CNRS, Institut Jacques Monod, F-75013, Paris, France. Electronic address: benoit.ladoux@ijm.fr.

Bruno Cadot (B)

Sorbonne Université, Inserm UMRS 974, Centre de Recherche en Myologie, 75013, Paris, France. Electronic address: bruno.cadot@inserm.fr.

Fabien Le Grand (F)

Institut NeuroMyoGène, Université Claude Bernard Lyon 1, CNRS UMR 5310, INSERM U1217, 69008, Lyon, France. Electronic address: fabien.le-grand@inserm.fr.

Léa Trichet (L)

Sorbonne Université, CNRS UMR 7574, Laboratoire de Chimie de La Matière Condensée de Paris, 75005, Paris, France. Electronic address: lea.trichet@sorbonne-universite.fr.

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Classifications MeSH