Proteomic and bioinformatics analysis of human saliva for the dental-risk assessment

Abstract: Background: Dental caries disease is a dynamic process with a multi-factorial etiology. It is manifested by demineralization of enamel followed by damage spreading into the tooth inner structure. Successful early diagnosis could identify caries-risk and improve dental screening, providing a baseline for evaluating personalized dental treatment and prevention strategies. Methodology: Salivary proteome of the whole unstimulated saliva (WUS) samples was assessed in caries-free and caries-susceptible individuals of older adolescent age with permanent dentition using a nano-HPLC and MALDI-TOF/TOF mass spectrometry. Results: 554 proteins in the caries-free and 695 proteins in the caries-susceptible group were identified. Assessment using bioinformatics tools and Gene Ontology (GO) term enrichment analysis revealed qualitative differences between these two proteomes. Members of the caries-susceptible group exhibited a branch of cytokine binding gene products responsible for the regulation of immune and inflammatory responses to infections. Inspection of molecular functions and biological processes of caries-susceptible saliva samples revealed significant categories predominantly related to the activity of proteolytic peptidases, and the regulation of metabolic and catabolic processes of carbohydrates. Conclusions: Proteomic analysis of the whole saliva revealed information about potential risk factors associated with the development of caries-susceptibility and provides a better understanding of tooth protection mechanisms.

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Proteomic and bioinformatics analysis of human saliva for the dental-risk assessment ; volume:12 ; number:1 ; year:2017 ; pages:248-265 ; extent:18 ; Open life sciences ; 12, Heft 1 (2017), 248-265 (gesamt 18)

Beteiligte, Orts- und Zeitangaben

• Urheber: Laputková, Galina ; Bencková, Mária ; Alexovič, Michal ; Schwartzová, Vladimíra ; Talian, Ivan ; Sabo, Ján

Weitere Informationen

• DOI: 10.1515/biol-2017-0030
• URN: urn:nbn:de:101:1-2409201642099.346596734996
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 15.08.2025, 07:32 MESZ