Banca de QUALIFICAÇÃO: Ângela Waleska Freire de Sousa Papa

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : Ângela Waleska Freire de Sousa Papa
DATE: 13/09/2022
TIME: 14:30
LOCAL: Sessão pública realizada por videoconferência
TITLE:

Discriminant analysis in the urine of patients with glycemic alterations based on Nuclear Magnetic Resonance.

KEY WORDS:

Type 2 diabetes, metabolomic, urine, nuclear magnetic resonance

PAGES: 45
BIG AREA: Ciências da Saúde
AREA: Nutrição
SUMMARY:

The metabolomics approach investigates the pathophysiological mechanisms of several diseases, such as diabetes. The metabolomic profile can be studied from many biological samples, with urine being one of the preferred due to its reliability and ease of obtaining. Improving strategies to discriminate the standard and pathological values of specific metabolites are essential for the clinical application of metabolomics. The study aims to characterize the population and test the feasibility of using Nuclear Magnetic Resonance (NMR) to identify metabolites in patients with glycemic alterations in the urine. The study population involves three groups: DM Group - patients with type 2 diabetes (DM2); the PDM Group - patients with pre-diabetes (PDM); and the control group (C) formed of healthy individuals. Participants were characterized in demographic, clinical, lifestyle, anthropometric, diet, glycemic, and lipid profiles. 24-hour urine spectra were acquired from NMR, and later the data were analyzed by Principal Component Analysis (PCA), followed by unsupervised analysis. Finally, algorithms were selected to verify which model had the best accuracy, sensitivity, and specificity. The results showed an association between variable hypertension and antihyperglycemic use with the presence of DM. Significant differences in fasting glucose, HbA1c, and HOMA-IR, especially when compared to the control group, were also observed. HDL diverged only between DM and control, and diet and other variables did not show significant differences between the groups. About the screening of metabolites in the 24-hour urine, found in the NMR analysis, the GA-LDA model was the most responsive for the discrimination of the study groups in terms of accuracy, sensitivity, and specificity.

COMMITTEE MEMBERS:
Presidente - ***.476.444-** - LUCIA DE FATIMA CAMPOS PEDROSA - UFRN
Externa à Instituição - NILCE VIANA GRAMOSA POMPEU DE SOUSA BRASIL - UFC
Externo à Instituição - ROBERTO RODRIGUES CUNHA LIMA - IFRN