Unknown

Dataset Information

0

Non-destructive detection of matrix stabilization correlates with enhanced mechanical properties of self-assembled articular cartilage.


ABSTRACT: Tissue engineers rely on expensive, time-consuming, and destructive techniques to monitor the composition, microstructure, and function of engineered tissue equivalents. A non-destructive solution to monitor tissue quality and maturation would greatly reduce costs and accelerate the development of tissue-engineered products. The objectives of this study were to (a) determine whether matrix stabilization with exogenous lysyl oxidase-like protein-2 (LOXL2) with recombinant hyaluronan and proteoglycan link protein-1 (LINK) would result in increased compressive and tensile properties in self-assembled articular cartilage constructs, (b) evaluate whether label-free, non-destructive fluorescence lifetime imaging (FLIm) could be used to infer changes in both biochemical composition and biomechanical properties, (c) form quantitative relationships between destructive and non-destructive measurements to determine whether the strength of these correlations is sufficient to replace destructive testing methods, and (d) determine whether support vector machine (SVM) learning can predict LOXL2-induced collagen crosslinking. The combination of exogenous LOXL2 and LINK proteins created a synergistic 4.9-fold increase in collagen crosslinking density and an 8.3-fold increase in tensile strength as compared with control (CTL). Compressive relaxation modulus was increased 5.9-fold with addition of LOXL2 and 3.4-fold with combined treatments over CTL. FLIm parameters had strong and significant correlations with tensile properties (R2  = 0.82; p < 0.001) and compressive properties (R2  = 0.59; p < 0.001). SVM learning based on FLIm-derived parameters was capable of automating tissue maturation assessment with a discriminant ability of 98.4%. These results showed marked improvements in mechanical properties with matrix stabilization and suggest that FLIm-based tools have great potential for the non-destructive assessment of tissue-engineered cartilage.

SUBMITTER: Haudenschild AK 

PROVIDER: S-EPMC6461514 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC10718485 | biostudies-literature
| S-EPMC4740278 | biostudies-literature
| S-EPMC5726259 | biostudies-literature
| S-EPMC9505484 | biostudies-literature
| S-EPMC7969630 | biostudies-literature
| S-EPMC4841831 | biostudies-literature
| S-EPMC8224478 | biostudies-literature
| S-EPMC9294195 | biostudies-literature
| S-EPMC4896400 | biostudies-literature
| S-EPMC4420241 | biostudies-literature