ArticleSurgery2015
Successful implantation of an engineered tubular neuromuscular tissue composed of human cells and chitosan scaffold.
Article in Surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- An exploratory in vitro co-culture of enteric neurons and smooth muscle cells demonstrates neuronal contribution to muscle layer formation.Scientific reports · 2026Article
- Surgical Treatment of Short Bowel Syndrome-The Past, the Present and the Future, a Descriptive Review of the Literature.Children (Basel, Switzerland) · 2022Review
- Tissue engineering of the gastrointestinal tract: the historic path to translation.Journal of biological engineering · 2022Review
- Stromal cell derived factor 1 plasmid to regenerate the anal sphincters.Journal of tissue engineering and regenerative medicine · 2022Article
- Regenerative medicine technologies applied to transplant medicine. An update.Frontiers in bioengineering and biotechnology · 2022Review
- Innervation: the missing link for biofabricated tissues and organs.NPJ Regenerative medicine · 2020Review
- Bioengineering and regeneration of gastrointestinal tissue: where are we now and what comes next?Expert opinion on biological therapy · 2019Review
- Bioengineered Submucosal Organoids for In Vitro Modeling of Colorectal Cancer.Tissue engineering. Part A · 2017Article
- The Potential for Gut Organoid Derived Interstitial Cells of Cajal in Replacement Therapy.International journal of molecular sciences · 2017Review
- Bioengineering the gut: future prospects of regenerative medicine.Nature reviews. Gastroenterology & hepatology · 2016Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThere is an urgent need for gut lengthening secondary to massive resections of the gastrointestinal tract. In this study, we propose to evaluate the remodeling, vascularization, and functionality of a chitosan-based, tubular neuromuscular tissue on subcutaneous implantation in the back of athymic rats.
methodsAligned innervated smooth muscle sheets were bioengineered with the use of human smooth muscle and neural progenitor cells. The innervated sheets were wrapped around tubular chitosan scaffolds. The engineered tubular neuromuscular tissue was implanted subcutaneously in the back of athymic rats. The implant was harvested after 14 days and assessed for morphology, vascularization, and functionality.
resultsGross examination of the implants showed healthy color with no signs of inflammation. The implanted tissue became vascularized as demonstrated by gross and histologic analysis. Chitosan supported the luminal patency of the tissue. The innervated muscle remodeled around the tubular chitosan scaffold. Smooth muscle maintained its circumferential alignment and contractile phenotype. The functionality of the implant was characterized further by the use of real-time force generation. A cholinergic response was demonstrated by robust contraction in response to acetylcholine. Vasoactive intestinal peptide-, and electrical field stimulation-caused relaxation. In the presence of neurotoxin tetrodotoxin, the magnitude of acetylcholine-induced contraction and vasoactive intestinal peptide-induced relaxation was attenuated whereas electrical field stimulation-induced relaxation was completely abolished, indicating neuronal contribution to the response.
conclusionOur results indicated the successful subcutaneous implantation of engineered tubular neuromuscular tissues. The tissues became vascularized and maintained their myogenic and neurogenic phenotype and function, which provides potential therapeutic prospects for providing implantable replacement GI segments for treating GI motility disorders.
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Registered trials
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.