Banca de QUALIFICAÇÃO: ANA CECÍLIA DE MENEZES GALVÃO

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
DISCENTE : ANA CECÍLIA DE MENEZES GALVÃO
DATA : 27/06/2019
HORA: 15:00
LOCAL: Sala Darwin
TÍTULO:

INVESTIGATION OF POTENTIAL BIOMARCADORES OF DIAGNOSIS OF MAJOR DEPRESSION

PALAVRAS-CHAVES:

Plasma cortisol, mBDNF, Cortisol response to salivary arousal, Creactive protein and Sleep.

PÁGINAS: 120
GRANDE ÁREA: Ciências Humanas
ÁREA: Psicologia
RESUMO:

Major Depression (MD) is a psychopathology, with a high global growth rate, with a multifactorial etiology, highly associated with morbidity, physical and psychic incapacity and lacking specific biomarkers, which makes diagnosis difficult. Thus, this study investigates potential biomarkers that can be used alone or in combination in the diagnosis of DM, such as: total plasma cortisol (CPt), salivary cortisol response (CAR), C-reactive protein (PCR), mature brain-derived neurotrophic factor (mBDNF), and sleep quality indexes. As well as the possible modulations of the sociodemographic factors (sex, age and income) and the body mass index (BMI) on the potential biomarkers. The population sample of the study consists of 114 adult volunteers, 56 of the control group (CG) and 58 of the group of patients with major depression (GP), which is composed of two subgroups; refractory major depression (MDR , n = 28) and major mild and moderate depression (MDMM, n = 30). The volunteers were screened by psychiatrists using the DSM - 5 (SCID), the Hamilton Depression Scale (HAM - D) and the Montgomery and Asberg (MADRS) depression scale. After inclusion in the study, patients in the MD R group individually slept one night (D1) in the psychiatry ward of the University Hospital Onofre Lopes (HUOL) of the Federal University of Rio Grande do Norte (UFRN), while those in the DMMM spent the night D1) in the Laboratory of Neurobiology and Biological Ritmicity (LNRB) of UFRN. Part of the CG volunteers slept in the HUOL (n = 45) and another in the LNRB (n = 11). In D1, the body weight and height of all volunteers were measured, and these responded to the Pittsburgh Sleep Quality Index (PSQI). The next day (D2), when the volunteers woke up, around 6 o'clock in the morning, the collection of saliva occurred; at time 0, 30 and 45 minutes after awakening. Then, a blood sample was collected for the CPt, PCR and mBDNF dosages. Multivariate statistical tests (ANOVA) and predictive variables (multilinear regression, logistic regression and ROC curve) are applied in the investigation of the data. Preliminary results from the multivariate analysis corroborate the literature and demonstrate that patients with MD R have lower salivary CAR and CPt compared to CG and MDMM. Meanwhile, MD MM has higher CAR and CPt than CG. MD MM patients presented lower levels of mBDNF compared to CG and MD R . The MD R presented worse subjective perception of sleep quality and duration of sleep when compared to the other groups. And the DMLM when compared to CG. The sleep latency was lower in the CG when compared with the other groups. In addition, predictive statistics showed that, to date, the best mathematical model of an isolated biomarker to predict major depression is PSQI, demonstrating an explanation of 81.6%, with a specificity of 89.29% and a sensitivity of 77 , 59%. For treatment-resistant depression, the best mathematical model of diagnosis is also composed only of PSQI, demonstrating an explanation of 90.5%, with specificity of 92.86% and sensitivity of 89.29%. While for mild and moderate depression, the best mathematical model shows the interaction of CPT and BMI, demonstrating an explanation of 73.5%, specificity of 70.91% and sensitivity of 89.29%. Of these, the model of treatment-resistant depression is the one that has the least chance of performing a falsepositive and false-negative diagnosis.

MEMBROS DA BANCA:
Externo à Instituição - FELIPE BARRETO SCHUCH - UFSM
Externo ao Programa - 1545394 - FULVIO AURELIO DE MORAIS FREIRE
Presidente - 1718518 - NICOLE LEITE GALVAO COELHO