| Grant number: | 20/10322-9 |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| Start date: | January 01, 2022 |
| End date: | August 31, 2024 |
| Field of knowledge: | Health Sciences - Dentistry |
| Principal Investigator: | Janete Dias Almeida |
| Grantee: | Bruna Fernandes do Carmo Carvalho |
| Host Institution: | Instituto de Ciência e Tecnologia (ICT). Universidade Estadual Paulista (UNESP). Campus de São José dos Campos. São José dos Campos , SP, Brazil |
| Associated scholarship(s): | 22/16557-3 - Cytological and salivary analysis of electronic cigarette users, BE.EP.DR |
Abstract The electronic cigarette (e-cig) was developed to promote and facilitate smoking cessation, however, the relationship of risks and benefits as well as the effects of e-cig on the oral mucosa are unknown. The objective of this study is to evaluate the effect of using e-cig on the oral mucosa and saliva of its users. Two groups will be composed: Electronic Cigarette Group (GCE) - 50 regular and exclusive e-cig users; Control group (GCO) - 50 non-smoking and non-e-cig users, matched in gender and age to the GCE. All participants will be examined. Afterwards, unstimulated saliva will be collected to the evaluation of the salivary metabolome by means of gas chromatography analysis coupled to the mass spectrometer (GC-MS). The cytological smear will be done on the left side of the tongue for citochemical evaluation and, on the right side, for gene expression evaluation. The exfoliative cytology will be evaluated by the Papanicolaou method (cytomorphological evaluation - inflammation and cellular maturation), Silver staining (evaluation of nucleolar organizer regions - AgNORs) and by qRT-PCR (CYP1A1, CYP1A1, CYP2A6, CYP2E1, L1B, IL6, CXCL8, TNF, CCL2, PTGS2, KRT1, KRT5, KRT13, KRT15, TP16, TP21 and TP53). The data will be treated by Student t-test (parametric data) or Mann-Whitney test (non-parametric data). For metabolic analysis, will be performed in addition, the principal component analysis (PCA) and ROC curve. The associations between variables and clinical data will be explored using Spearman's correlation coefficient. For all analyzes, a significance level of 5% will be adopted. | |
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