Investigation of genetic susceptibility to chronic periodontitis associated with T...
| Grant number: | 16/03753-8 |
| Support type: | Regular Research Grants |
| Duration: | August 01, 2016 - July 31, 2019 |
| Field of knowledge: | Health Sciences - Dentistry - Periodontology |
| Principal Investigator: | Raquel Mantuaneli Scarel Caminaga |
| Grantee: | Raquel Mantuaneli Scarel Caminaga |
| Home Institution: | Faculdade de Odontologia (FOAr). Universidade Estadual Paulista (UNESP). Campus de Araraquara. Araraquara , SP, Brazil |
| Assoc. researchers: | Patricia de Carvalho Mastroianni ; Silvana Regina Perez Orrico |
Abstract
Although evidences show association of polymorphisms in cytokine genes with susceptibility to chronic periodontitis (CP), there are many genes (e.g metabolism) that may affect the pathogenesis of PC that have not yet been investigated. Therefore, further studies are needed to identify polymorphisms associated with periodontal disease (PD) which can be used as genetic markers of PD in our population. Additionally, it was identified by this research group through the Transcriptome, differentially expressed genes in patients affected by diabetes mellitus type 2 (DM2) and PC, compared to patients without type 2 diabetes with/ without PC. It is important to investigate whether these results can be associated with different frequency of polymorphic alleles in these genes; i.e. if the pathological phenotype of patients is related to their differential genetic carriage. Polymorphisms in genes encoding enzymes usually influence the metabolic profile of the patient, which may relate to their periodontal condition. The objective of this project is to investigate the genetic susceptibility to chronic periodontitis associated or not with Type 2 Diabetes Mellitus and exploring its possible relationship with glycemic and lipid profile of the patient; seeking the genetic markers of PD (potentially associated with comorbidities) in our population. For this, 64 polymorphisms in genes important in the pathogenesis of the mentioned conditions will be simultaneously investigated by OpenArray genotyping platform. To facilitate understanding, we divided this research project into two subprojects: 1) Investigation of the genetic susceptibility to chronic periodontitis; and 2) Investigation of the genetic susceptibility to chronic periodontitis associated with diabetes mellitus type 2. Both subprojects are in the process of recruitment of patients and sample collection, the first of which has the support of FAPESP (Bolsa PhD), and the second has samples collected during the development of Transcriptome (supported FAPESP). Therefore, this project is an important continuation of our research. Considering the sample size calculation, 960 patients will undergo a complete periodontal examination, as well as biochemical analysis of their glycemic and lipid profile. For subproject 1 patients will be divided into Group A (n = 356) patients with severe or moderate PC; and Group B (n = 356) patients with mild PC and periodontal health. For subproject 2, we will investigate 248 patients with DM2 and PC (DM2_PC Group); and to compare the results, patients in the subproject 1 will be considered: Group A (without DM2 with severe or moderate PC, and Group B (without DM2 with mild PC or periodontally healthy) In addition to the DM2 diagnosis by a physician, recent results of glycemic and lipid profile were also be considered that will be offered to all volunteers in this project. If a patient recruited for the subproject 1 show suspected DM2 after the glycemic profile results, he/she will be referred for medical treatment. The same will be done in relation to suspected dyslipidemia, since all patients will receive information on the results of its glycemic, lipid and periodontal profiles. After complete periodontal examination and the biochemical tests, it will be obtained saliva of each patient for DNA extraction. Each single base polymorphism (SNP) will be investigated by the OpenArray genotyping system. After genetic analysis through softwares as JINGLEFIX and HAPLOVIEW it will be performed multiple logistic regression analysis using the R program seeking to adjust the results to variables such as age, gender, smoking and biochemical profile, beyond the Bonferroni correction. It is expected by the detailed periodontal, clinical biochemical and genetic data, and after robust statistical analysis, identifying genetic markers of PD in our population. (AU)