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ArticlePediatric surgery international2025

Human induced pluripotent stem cell-derived bioengineered skeletal muscle progenitor sheet.

Nozomi Aoki, Yoshikazu Matsuoka, Hiroshi Yamakawa, Rina Tanaka, Sakiko Yoshimoto, Tokiko Okunobo, Ryosuke Satake, Hiroki Nakamura, Hirofumi Hitomi, Takashi Doi

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Article in Pediatric surgery international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Nozomi AokiDepartment of Pediatric Surgery, Kansai Medical University, Osaka, Japan.
Yoshikazu MatsuokaDepartment of iPS Stem Cell Regenerative Medicine, Kansai Medical University, Osaka, Japan.
Hiroshi YamakawaDepartment of Pediatric Surgery, Kansai Medical University, Osaka, Japan.
Rina TanakaDepartment of Pediatric Surgery, Kansai Medical University, Osaka, Japan.
Sakiko YoshimotoDepartment of Pediatric Surgery, Kansai Medical University, Osaka, Japan.
Tokiko OkunoboDepartment of Pediatric Surgery, Kansai Medical University, Osaka, Japan.
Ryosuke SatakeDepartment of Pediatric Surgery, Kansai Medical University, Osaka, Japan.
Hiroki NakamuraDepartment of Pediatric Surgery, Kansai Medical University, Osaka, Japan.
Hirofumi HitomiDepartment of iPS Stem Cell Regenerative Medicine, Kansai Medical University, Osaka, Japan.
Takashi DoiDepartment of Pediatric Surgery, Kansai Medical University, Osaka, Japan. doitak@hirakata.kmu.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNeonates with congenital diaphragmatic hernia (CDH) often require surgical closure of the large diaphragmatic defect with a patch; however, artificial materials are associated with complications such as foreign body reaction, infection, and recurrence. Regenerative medicine is a promising alternative for CDH patch repair, particularly through the application of stem cells and tissue engineering techniques. Despite recent research focusing on amniotic fluid stem cells, no research has focused on the use of human induced pluripotent stem cells (iPSCs) to create a skeletal muscle sheet for diaphragmatic replacement. DAPT and SB431542 (SB) have been described to promote hypertrophy and fusion of myoblasts lines for myotube formation. In this study, we generated an iPSC-derived skeletal muscle progenitor sheet and evaluated its viability for diaphragmatic replacement in CDH.

methodsHuman iPSCs (HiPS-RIKEN-2F) were cultured in StemFit AK02N medium on iMatrix511-coated dishes and differentiated into skeletal myogenic progenitor cells using a stepwise induction protocol with CHIR99021 and FGF2. After 35 days, cells were transferred to α-MEM medium containing 2% horse serum (HS) to create a monolayer skeletal muscle progenitor sheet in a temperature-responsive culture dish. To evaluate myotube formation from myogenic progenitor cells under various conditions using compounds; DAPT, SB, and DAPT + SB combination, myosin heavy chain expression was assessed by immunofluorescence staining.

resultsUsing α-MEM medium containing 2% HS, we could create a monolayer skeletal muscle progenitor sheet derived from human iPSCs. Compared to individual treatments, the most effective myotube formation was observed using a DAPT + SB combination.

conclusionsWe created, for the first time, bioengineered skeletal muscle progenitor sheet derived from human iPSCs. Combinatorial treatment with DAPT and SB was the most effective to promote myotube formation in the bioengineered sheet. iPSC-derived skeletal muscle progenitor sheets may be useful for tissue-engineered diaphragmatic replacement in the future.

Indexed as

Hernias, Diaphragmatic, CongenitalInduced Pluripotent Stem CellsMuscle, SkeletalTissue EngineeringCell DifferentiationCells, CulturedHumansCongenital diaphragmatic herniaHuman pluripotent stem cellsRegenerative medicine

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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.