Tissue engineering is an emerging field which offers promising therapeutic options
for many patients with incurable diseases. One method of producing a scaffold for
TE is decellularization, which aims to remove immunogenic elements from a donor organ
without compromising its inherent structural and biomechanical properties. Presently,
optimizing a suitable decellularization protocol for a particular organ is a time-consuming,
trial-and-error based task. The resulting protocol is then used for all organs of
the same type, without considerations of donor differences. To this end, we have developed
a system based on mathematical modeling, which tailors the decellularization to each
individual organ. The system uses real-time image analyses to predict complete decellularization
while also changing reagents automatically in order to eliminate operator-variability.
We verified the system using organs from rat esophagus and small intestine. The produced
biological scaffolds’ architecture was evaluated by histology and electron microscopy,
retained ECM-protein composition by immunohistochemistry and residual DNA content
by nucleic acid staining and quantification. Biomechanical evaluations of native and
decellularized tissue were performed to study the impact on mechanical strength. Prematurely
stopping the decellularization resulted in inadequate removal of cell nuclei. We further
validated the prediction model using human esophageal samples. In conclusion, by tailoring
the decellularization to each individual organ our novel method improve the quality
of produced scaffolds. The method is likely to be of greatest importance for human
samples, where donor differences are considerable.
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