Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2025-12-25 @ 3:45 AM
Ignite Modification Date:
2025-12-25 @ 3:45 AM
NCT ID:
NCT03510702
Brief Summary:
Epigenetics has produced a high impact in biomedical research and is providing new biomarkers for the diagnosis and prognosis of diseases. In addition, epigenetics is also contributing to analyze the molecular causes underlying diseases, even so periodontal diseases as it has been recently reviewed. In this regard, changes in the methylation of genes codifying for pro-inflammatory and anti-inflammatory cytokines has been previously reported. miRNAs are very promising biomolecules to be used as biomarkers because miRNAs act as signaling molecules and participate in many biological processes, such as cellular development, differentiation, and apoptosis. The high stability of circulating miRNAs in the RNase-rich environment of the bloodstream and also in different biospecimens used in clinical routine, make these biomolecules an optimal source of candidate biomarkers. In fact, miRNAs have demonstrated their value as dynamic biomarkers in a wide variety of human diseases. Therefore, miRNAs can be used for the monitoring of periodontal disease.
The objective of this research is to analyze the levels of bone remodeling RANKL / OPG biomolecular markers, and the epigenetic regulation of these proteins to identify promising biomarkers of periodontal disease.
Material and Methods. Levels of RANKL and OPG will be measured in the gingival crevicular fluid (GCF) to assess the state of bone. These samples will be sent to the lab for quantification by ELISA method.
Furthermore, new epigenetic biomarkers based on the identification of high stable microRNAs will be identified by qRT-PCR in GCF as feasible tools for diagnosis and monitoring of wide range of disease, including periodontal disease.
Study:
NCT03510702
Study Brief:
Protocol Section:
NCT03510702