Banca de QUALIFICAÇÃO: NÍVEA MARIA SOBRAL ARRUDA CÂMARA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : NÍVEA MARIA SOBRAL ARRUDA CÂMARA
DATE: 01/04/2026
TIME: 09:00
LOCAL: Sala de Aulas GEP/MEJC
TITLE:

Analysis of gene expression profiles by bioinformatics for Identification of molecular biomarkers in the diagnosis of Polycystic ovary syndrome

KEY WORDS:

Polycystic Ovary Syndrome, Bioinformatics, Biomarkers, Transcriptome.

PAGES: 34
BIG AREA: Ciências da Saúde
AREA: Saúde Coletiva
SUMMARY:

Polycystic Ovary Syndrome (PCOS) is an endocrine-metabolic disorder affecting approximately 6 to 20% of women of reproductive age, typically characterized by chronic ovulatory dysfunction, hyperandrogenism, and polycystic ovarian morphology. Its etiology is complex and multifactorial, and the lack of specific biomarkers remains a challenge for accurate diagnosis and clinical management. In this context, the present study aimed to analyze gene expression profiles using bioinformatics tools to identify novel molecular biomarkers potentially useful for PCOS diagnosis. Public data from the Gene Expression Omnibus (GEO) database were used to track genes associated with the syndrome, assess their biological functions and signaling pathways, and investigate the properties of protein–protein interaction (PPI) networks through the identification of differentially expressed genes (DEGs), functional enrichment analyses, and PPI mapping. The methodology consisted of an in silico analysis of three datasets (GSE138518, GSE155489, and GSE193123) derived from granulosa cells of PCOS patients and controls. Differential expression analysis was performed using the DESeq2 package, considering DEGs with an absolute log2 fold change (|log2 FC|) > 1 and an adjusted p-value < 0.05. Preliminary results indicated 28 common DEGs associated with inflammation, immune function, and lipid metabolism, with potential hub genes including CFH, HLA-DQB1, and APOC1. Additional analyses are ongoing to explore other pathways and validate potential biomarkers, aiming to support the development of diagnostic strategies for PCOS.

COMMITTEE MEMBERS:
Externa à Instituição - BARBARA ALVES CABRAL - EBSERH
Presidente - 2328351 - GUSTAVO MAFALDO SOARES
Interno - 1046091 - JOAO FIRMINO RODRIGUES NETO