Characterization of saliva through FT-IR spectroscopy in healthy controls

• Grant number: 23/01749-7
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: March 01, 2023
• End date: February 29, 2024
• Field of knowledge: Biological Sciences - Biochemistry - Molecular Biology
• Principal Investigator: Luis Felipe das Chagas e Silva de Carvalho
• Grantee: Jaqueline Maria Brandao Rizzato
• Host Institution: Pró-Reitoria de Pesquisa e Pós-Graduação. Universidade de Taubaté (UNITAU). Taubaté , SP, Brazil
• Associated research grant: 17/21827-1 - Vibrational spectroscopic analysis of saliva: an innovative approach to real time investigation, AP.JP

Abstract

INTRODUCTIONVibrational spectroscopy techniques have been used with great success for the characterization and diagnosis of diseases, as reported by our groups over the past 8 years in samples, in vitro, ex vivo and in vivo (Carvalho et al., 2010, Carvalho et al., 2011, Carvalho et al., 2015; Carvalho et al., 2016; Carvalho et al., 2017). The present scenario shows a real interest for evaluation of biofluids with great diagnostic potential (Baker et al., 2015, Bonnier et al., 2016), since the fluids are easy to obtain and the FT-IR technique does not require preparation of the sample. The first step of the work is to establish the normal spectral pattern of the samples, as well as a better method of collection and preparation. OBJECTIVESTo obtain a spectral pattern of saliva -To standardize the salivary collection method for the spectral pattern in different biofluids. Analysis will be performed after centrifugation (supernatant and precipitate) and performing a filtration of the supernatant to decrease artifacts inherent in the high molecular weight molecules.30 (15 females and 15 males) health subjects without periodontal disease, autoimmune disease and oral cancer, as well other known acute and chronic conditions. To standardize the methodology for saliva, as reference for the studies of chronic conditions that will be evaluated in the present proposal. In addition the present study will incorporate this new methodology in the clinical practice and research setting of the participating Brazilian Universities.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DA SILVA, SARA MARIA SANTOS DIAS; NOGUEIRA, MARCELO SAITO; RIZZATO, JAQUELINE MARIA BRANDAO; SILVA, SIMONE DE LIMA; CORTELLI, SHEILA CAVALCA; BORGES, ROGER; MARTINHO, HERCULANO DA SILVA; SILVA, RODRIGO AUGUSTO; DE CARVALHO, LUIS FELIPE DAS CHAGAS E SILVA. Machine learning combined with infrared spectroscopy for detection of hypertension pregnancy: towards newborn and pregnant blood analysis. BMC PREGNANCY AND CHILDBIRTH, v. 25, n. 1, p. 15-pg., 2025-03-27. (23/01749-7, 22/16091-4, 17/21827-1)

MONTEIRO, GABRIELA REGANIN; DA SILVA, SARA MARIA SANTOS DIAS; RIZZATO, JAQUELINE MARIA BRANDAO; SILVA, SIMONE DE LIMA; CORTELLI, SHEILA CAVALCA; SILVA, RODRIGO AUGUSTO; NOGUEIRA, MARCELO SAITO; DE CARVALHO, LUIS FELIPE DAS CHAGAS E SILVA. High-Wavenumber Infrared Spectroscopy of Blood Plasma for Pre-Eclampsia Detection with Machine Learning. PHOTONICS, v. 11, n. 10, p. 15-pg., 2024-10-01. (23/01749-7, 17/21827-1, 18/03636-7)

DA SILVA, SARA MARIA SANTOS DIAS; FERREIRA, CAMILA LOPES; RIZZATO, JAQUELINE MARIA BRANDAO; TOLEDO, GIOVANA DOS SANTOS; FURUKAWA, MONIQUE; ROVAI, EMANUEL SILVA; NOGUEIRA, MARCELO SAITO; DE CARVALHO, LUIS FELIPE DAS CHAGAS E SILVA. Infrared spectroscopy for fast screening of diabetes and periodontitis. Photodiagnosis and Photodynamic Therapy, v. 46, p. 8-pg., 2024-05-01. (23/01749-7, 17/21827-1, 19/14846-5)