'Omics' technologies provide a comprehensive understanding of biological systems by analyzing the collective characterization and quantification of pools of biological molecules that translate into the structure, function, and dynamics of an organism. The integration of ‘omics’ technologies in dentistry has opened new avenues for personalized medicine, particularly in bone regeneration and osseointegration. This review synthesizes the current literature on the application of genomics, proteomics, transcriptomics, and metabolomics in dental research to evaluate their impact on understanding molecular mechanisms and improving clinical outcomes in dental implantology. A comprehensive search was conducted across PubMed, Scopus, and Web of Science, focusing on studies published in the last decade. Key findings highlight the significant potential of omics to personalize treatment strategies based on individual genetic and proteomics profiles, optimize implant surface properties, and elucidate critical signaling pathways involved in bone healing. The review underscores the transformative impact of omics on dental research, driving innovations that enable more precise diagnostics and tailored therapeutic approaches. Six studies meeting all criteria were included for detailed discussion, revealing the critical role of omics in personalizing treatments and enhancing bone regeneration and osseointegration outcomes. By leveraging these technologies, personalized treatment strategies can be better tailored to individual healing profiles, potentially enhancing clinical outcomes. This review concludes that the transformative impact of omics on dental research holds promise for the future of personalized dental medicine.
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"Dentomics": Current State of the Literature on Omics in Dentistry
Published:
03 December 2024
by MDPI
in The 5th International Electronic Conference on Applied Sciences
session Applied Biosciences and Bioengineering
Abstract:
Keywords: Omics, Dentistry, Bone Regeneration, Personalized Medicine, Genomics, Proteomics, Transcriptomics, Metabolomics.
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