期刊
MATRIX BIOLOGY
卷 106, 期 -, 页码 34-57出版社
ELSEVIER
DOI: 10.1016/j.matbio.2022.01.002
关键词
Peripheral nerve; Biomaterials; Extracellular matrix; Nerve guidance conduit; Angiogenesis; Inflammation
资金
- Science Foundation Ireland [SFI 16/FRL/3855]
- Integra Life Sciences through the AMBER centre [TP27-1846A1, 12/RC/2278]
- Irish Rugby Football Union Charitable Trust [SFI/12/RC/2278_2]
By using a multi-factorial approach, researchers have optimized a biomaterial NGC to address the challenges of long-distance injuries, inflammation, and poor vascularization in axonal repair. The functionalized NGCs showed significant improvements in inflammation, neurogenesis, and angiogenesis in experiments. In a rat nerve defect model, the functionalized NGCs demonstrated comparable axonal density and angiogenesis to autografts, highlighting their potential in clinical applications.
Nerve guidance conduits (NGCs) are sub-optimal for long-distance injuries with inflammation and poor vascularization related to poor axonal repair. This study used a multi-factorial approach to create an optimized biomaterial NGC to address each of these issues. Through stepwise optimization, a collagen-chondroitin-6sulfate (Coll-CS) biomaterial was functionalized with extracellular matrix (ECM) components; fibronectin, laminin 1 and laminin 2 (FibL1L2) in specific ratios. A snap-cooled freeze-drying process was then developed with optimal pore architecture and alignment to guide axonal bridging. Culture of adult rat dorsal root ganglia on NGCs demonstrated significant improvements in inflammation, neurogenesis and angiogenesis in the specific Fib:L1:L2 ratio of 1:4:1. In clinically relevant, large 15 mm rat sciatic nerve defects, FibL1L2-NGCs demonstrated significant improvements in axonal density and angiogenesis compared to unmodified NGCs with functional equivalence to autografts. Therefore, a multiparameter ECM-driven strategy can significantly improve axonal repair across large defects, without exogenous cells or growth factors. (c) 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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