Journal article
Matching mechanical heterogeneity of the native spinal cord augments axon infiltration in 3D-printed scaffolds
Biomaterials, v 295, 122061
16 Feb 2023
PMID: 36842339
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Scaffolds delivered to injured spinal cords to stimulate axon connectivity often match the anisotropy of native tissue using guidance cues along the rostral-caudal axis, but current approaches do not mimic the heterogeneity of host tissue mechanics. Although white and gray matter have different mechanical properties, it remains unclear whether tissue mechanics also vary along the length of the cord. Mechanical testing performed in this study indicates that bulk spinal cord mechanics do differ along anatomical level and that these differences are caused by variations in the ratio of white and gray matter. These results suggest that scaffolds recreating the heterogeneity of spinal cord tissue mechanics must account for the disparity between gray and white matter. Digital light processing (DLP) provides a means to mimic spinal cord topology, but has previously been limited to printing homogeneous mechanical properties. We describe a means to modify DLP to print scaffolds that mimic spinal cord mechanical heterogeneity caused by variation in the ratio of white and gray matter, which improves axon infiltration compared to controls exhibiting homogeneous mechanical properties. These results demonstrate that scaffolds matching the mechanical heterogeneity of white and gray matter improve the effectiveness of biomaterials transplanted within the injured spinal cord.
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Details
- Title
- Matching mechanical heterogeneity of the native spinal cord augments axon infiltration in 3D-printed scaffolds
- Creators
- Kiet A. Tran - Rowan UniversityBrandon J. DeOre - Rowan UniversityDavid Ikejiani - Rice UniversityKristen Means - Rice UniversityLouis S. Paone - Rowan UniversityLaura De Marchi - Rowan UniversityŁukasz Suprewicz - Medical University of Bialystok (Poland, Bialystok)Katarina Koziol - Rowan UniversityJulien Bouyer - Drexel UniversityFitzroy J. Byfield - University of PennsylvaniaYing Jin - Drexel UniversityPenelope Georges - Princeton UniversityItzhak Fischer - Drexel UniversityPaul A. Janmey - University of PennsylvaniaPeter A. Galie (Corresponding Author) - Rowan University
- Publication Details
- Biomaterials, v 295, 122061
- Publisher
- Elsevier
- Number of pages
- 12
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Neurobiology and Anatomy
- Web of Science ID
- WOS:000949229500001
- Scopus ID
- 2-s2.0-85148935805
- Other Identifier
- 991020160597404721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Biomedical
- Materials Science, Biomaterials