A novel computationally engineered collagenase reduces the force required for tooth extraction in an ex-situ porcine jaw model

Author:

Ansbacher Tamar,Tohar Ran,Cohen Adi,Cohen Orel,Levartovsky Shifra,Arieli Adi,Matalon Shlomo,Bar Daniel Z.,Gal Maayan,Weinberg Evgeny

Abstract

AbstractThe currently employed tooth extraction methods in dentistry involve mechanical disruption of the periodontal ligament fibers, leading to inevitable trauma to the bundle bone comprising the socket walls. In our previous work, we have shown that a recombinantly expressed truncated version of clostridial collagenase G (ColG) purified fromEscherichia coliefficiently reduced the force needed for tooth extraction in anex-situporcine jaw model, when injected into the periodontal ligament. Considering that enhanced thermostability often leads to higher enzymatic activity and to set the basis for additional rounds of optimization, we used a computational protein design approach to generate an enzyme to be more thermostable while conserving the key catalytic residues. This process generated a novel collagenase (ColG-variant) harboring sixteen mutations compared to ColG, with a nearly 4℃ increase in melting temperature. Herein, we explored the potential of ColG-variant to further decrease the physical effort required for tooth delivery using our establishedex-situporcine jaw model. An average reduction of 11% was recorded in the force applied to extract roots of mandibular split first and second premolar teeth treated with ColG-variant, relative to those treated with ColG. Our results show for the first time the potential of engineering enzyme properties for dental medicine and further contribute to minimally invasive tooth extraction.

Funder

Tel Aviv University, Faculty of Medicince

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,Biomedical Engineering,Environmental Engineering

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