REDEEM · Biomimetic Restoration of Tooth Dentin via Deep Mineralization
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2021-04-01 → 2023-10-02
- EU contribution
- €157,356
- Participants
- 1
- Scheme
- MSCA-IF
Lines connect the coordinator with its partners.
Results in brief
Biomimetic Restoration of Tooth Dentin via Deep Mineralization
The REDEEM project addresses the issue of demineralization, the loss of minerals from dental hard tissues, which remains a global risk affecting approximately 3.5 billion people. Despite the decline in dental cavities due to fluoride use, conditions related to demineralization, particularly dentin hypersensitivity (DH), impact over 50% of the adult population. DH lacks a permanent solution, and the ideal treatment should replicate a well-integrated mineral layer, emulating the protective enamel and cementum tissues to cover and seal exposed tubules. The REDEEM project's overarching objective is to introduce a groundbreaking method termed "Deep Mineralization" for the biomimetic restoration of exposed dentin, achieving lasting durability. This involves four key objectives: (i) Experimental selection of peptides through Deep Directed Evolution, combining directed evolution with next-generation sequencing to generate quantitative peptide datasets (big data); (ii) Utilization of a machine learning-based predictive design platform, BioMInt, to develop protein-derived peptides. This platform is trained with big data and refined through (iii) High-throughput (HTP) validation assays; and ultimately, (iv) Establishment of a peptide-guided remineralization methodology (Deep Mineralization). This method mimics saliva's remineralization action, where peptides derived from enamel and cementum-related proteins bind to exposed dentin, recruit calcium and phosphate ions, and synthesize an integrated mineral layer. This process seals exposed dentin tubules by penetrating into them, effectively restoring the tooth's natural protection. Beyond its immediate application to dentin hypersensitivity, Deep Mineralization holds promise for broader dental health. Its adaptability and scalability make it a potential asset in routine dental care practices, addressing not only DH but also contributing to preventive dentistry on a larger scale. This scalability aligns with our vision for the project's future implications, envisioning a transformative impact on dental research, potential commercialization avenues, and the advancement of preventive measures in oral healthcare.
Data: CORDIS, © European Union
Project objective
Dentin hypersensitivity (DH) is a prevalent health condition occurring in more than 50% of the population. Despite the upward trend of risk, there has not been a permanent solution to DH. An ideal treatment should reproduce a well-integrated mineral layer, mimicking the protective cementum tissue that covers exposed tubules and seals tightly by penetrating into them. Such restoration can be accomplished using peptides that epitomize mineralization properties of dental proteins. Proposed herein is the development of a novel approach called Deep Mineralization, that will enable biomimetic restoration of exposed dentin by forming a well-integrated acellular cementum-like protective mineral layer. This will be accomplished via four specific objectives that include: (i) Experimental selection of peptides via directed evolution paired with next-generation sequencing called Deep Directed Evolution to generate peptide datasets (big data); (ii) Development of protein-derived peptides via machine learning (ML) based predictive design platform (Biomineralization Intelligence) that is trained with big data and refined through (iii) High-throughput (HTP) validation assays, and eventually (iv) Establishing a peptide-guided remineralization methodology (Deep Mineralization) by mimicking the remineralization action of saliva in which remineralizing peptides bind to exposed dentin, recruit calcium and phosphate ions and synthesize an integrated acellular cementum-like mineral layer, thereby, restoring tooth’s natural protection. Aligned with the current vision of the EU that aims to adapt methodologies to generate big data and tools to enable fast-track discoveries with healthcare delivery, this study marks the onset of implementing ML and HTP screening methods into dental research. Successful completion of this project will result in a line of preventive oral care products with the long-term vision of establishing a molecular toolkit for complete tissue regeneration.
Original text from CORDIS.
Participants
- IZMIR INSTITUTE OF TECHNOLOGY · İzmirCoordinatorTürkiye
Links
Data: CORDIS, © European Union