A hybrid biomimetic scaffold composed of electrospun polycaprolactone nanofibers and self-assembled peptide amphiphile nanofibers.

A hybrid biomimetic scaffold composed of electrospun polycaprolactone nanofibers and self-assembled peptide amphiphile nanofibers.
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DOI:
10.1088/1758-5082/1/2/025001
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发表时间:
2009-06
期刊:
影响因子:
9
通讯作者:
Jun HW
Jun HW
中科院分区:
工程技术1区
文献类型:
--
作者:
Tambralli A;Blakeney B;Anderson J;Kushwaha M;Andukuri A;Dean D;Jun HW

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Nanofibrous electrospun poly (ε-caprolactone) (ePCL) scaffolds have inherent structural advantages, but lack of bioactivity has limited their usefulness in biomedical applications. Thus, here we report the development of a hybrid, nanostructured, extracellular matrix (ECM) mimicking scaffold by a combination of ePCL nanofibers and self-assembled peptide amphiphile (PA) nanofibers. The PAs have ECM mimicking characteristics including a cell adhesive ligand (RGDS) and matrix metalloproteinase-2 (MMP-2) mediated degradable sites. TEM imaging verified successful PA self-assembly into nanofibers (diameters of 8 – 10 nm) using a solvent evaporation method. This evaporation coating method was then used to successfully coat PAs onto ePCL nanofibers (diameters of 300 – 400 nm), to develop the hybrid, bioactive scaffolds. SEM characterization showed that the PA coatings did not interfere with the porous ePCL nanofiber network. Human mesenchymal stem cells (hMSCs) were seeded onto the hybrid scaffolds to evaluate their bioactivity. Significantly greater attachment and spreading of hMSCs were observed on ePCL nanofibers coated with PA-RGDS as compared to ePCL nanofibers coated with PA-S (no cell adhesive ligand) and uncoated ePCL nanofibers. Overall, this novel strategy presents a new solution to overcome the current bioactivity challenges of electrospun scaffolds and combines the unique characteristics of ePCL nanofibers and self-assembled PA nanofibers to provide an ECM mimicking environment. This has great potential to be applied to many different electrospun scaffolds for various biomedical applications.
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影响因子: 14
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DOI: 10.1163/156856204322752246
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影响因子: 3.6
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