Analysis of salivary levels of IL-1β, IL17A, OPG and RANK-L in periodontitis using the 2017 Classification of Periodontal Diseases - an exploratory observational study

Autor: Marta Relvas, Ricardo Silvestre, Maria Gonçalves, Cristina Cabral, Ana Mendes-Frias, Luís Monteiro, Alexandra Viana da Costa
Přispěvatelé: Universidade do Minho
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Journal of Clinical Medicine
Volume 12
Issue 3
Pages: 1003
Popis: Periodontitis is a chronic disease with a high overall prevalence. It involves a complex interplay between the immune-inflammatory pathways and biofilm changes, leading to periodontal attachment loss. The aims of this study were (i) to assess whether the salivary IL-1β, IL-17A, RANK-L and OPG levels have the potential to discriminate between the mild and severe periodontitis conditions; and (ii) to enable diagnostic/prognostic actions to differentiate between distinct levels of the disease. The analysis of the clinical parameters and the evaluation of the salivary immunomediators levels by means of a multiplex flow assay revealed a statistically significantly higher level of IL-1β in the periodontitis III/IV patients, as well as a higher level of RANK-L in the periodontitis III/IV and I/II patients, when compared to the healthy controls. Furthermore, the grade C periodontitis patients presented a significantly higher level of RANK-L compared to the grade B and grade A patients. In the grade C patients, IL-1β had a positive correlation with the PPD and CAL indices and RANK_L had a positive correlation with CAL. The evidence emerging from this study associates the salivary IL-1β and RANK-L levels with an advanced stage of periodontitis, stage III/IV, and with grade C, suggesting the possible cooperative action of both in the inflammatory and bone loss events. In addition to IL-1β, RANK-L could be considered a combined diagnostic biomarker for periodontitis.
This research was funded by the University Institute of Health Sciences (IUCS-CESPU). The participation of Marta Relvas was funded by the project grants AMDNCPD_PI2RL_IINFACTS_2021 and ADMT1PD_GI2-CESPU_2022, while the participation of Luis Monteiro was funded by the project grant mTORORAL_GI2-CESPU_2022 from CESPU University, by the Foundation for Science and Technology (FCT)–project UIDB/50026/2020 and UIDP/50026/2020, by the NORTE-01-0145- FEDER-000013 and NORTE-01-0145-FEDER-000023 projects, and by the Norte Portugal Regional Operational Program (NORTE 2020) under the PORTUGAL 2020 Partnership Agreement through the European Regional Development Fund (ERDF), the FCT contracts 2021.07836.BD to AMF and CEECIND/00185/2020 to RS.
Databáze: OpenAIRE
Externí odkaz: