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Published on: January 21, 2020
Lipidomics in Periodontal Disease Research: A Systematic Review
Carolina Silva1,2, Francisco Peixoto3, Isabel Dias1,2
1Department of Veterinary Sciences, School of Agricultural and Veterinary Sciences (ECAV), University of Trás-os-Montes e Alto Douro (UTAD), Quinta de Prados, Vila Real 5000-801, Portugal.
Introduction:
Periodontal disease is a highly prevalent oral pathology in the human population, which has a significant local and systemic impact. Currently, multi- -omics analyses, including lipidomics, are fundamental to obtaining an in-depth molecular understanding of the individual. Lipidomics is dedicated to the study of lipid species and their interactions in various health contexts. This specific multi-omics analysis is important for understanding the alteration of metabolism and signaling in disease, identifying biochemical markers, and potential therapeutic targets.
Objective:
This study aimed to carry out a systematic review of the existing scientific literature on lipidomics in periodontal disease and thus determine which molecules have already been analyzed and their potential in this specific disease.
Methods:
This study followed the recommendations of the PRISMA 2020 methodology. The inclusion criteria used were articles published in indexed journals between 2000 and 2023, written in English, and establishing an exclusive relationship about lipidomics in human periodontal disease. The articles were searched in three different databases.
Results:
Considering the criteria defined, only six articles were selected and analyzed individually in detail. In four of the six studies, differences in the lipidome of individuals with periodontal disease were identified. Furthermore, phosphoethanolamine ceramide was found to have potential as a diagnostic biomarker. Finally, the therapeutic potential of a lipoxin A4 analogue was also identified.
Conclusion:
These results reinforce the need for future research in this area so that the consequences of this disease on the lipidome can be identified.
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