Análise do perfil metabolômico do líquido folicular de pacientes com síndrome dos ovários policísticos submetidas ao tratamento de fertilização in vitro

• Ano de defesa: 2017
• Autor(a) principal: Cordeiro, Fernanda Bertuccez [UNIFESP]
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de São Paulo (UNIFESP)
• Palavras-chave em Português: Ovarian hyper response; Metabolomics; Biomarkers; Mass spectrometry; Lc-Ms; Ps-Ms; Polycystic ovary syndrome; Follicular fluid; Sono; Ataxias espinocerebelares; Polissonografia; Síndrome do ovário policístico; Líquido folicular; Metabolômica; Biomarcadores; Espectrometria de massas
• Link de acesso: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5642585; http://repositorio.unifesp.br/handle/11600/50578

Objectives: Analyze the metabolomic profile of follicular fluid from patients with and without hyper response to controlled ovarian stimulation, associated or not with polycystic ovary syndrome (PCOS). Method: Follicular fluid samples from 81 patients were obtained from patients undergoing in vitro fertilization, considering three groups: control group (n = 22); hyper responders (HR, n = 44) and PCOS (n = 15). The samples were prepared according to the respective metabolomic approaches, which included liquid-chromatography mass spectrometry (LC-MS) and Paper Spray ionization mass spectrometry (PS-MS). Results: Clinical data showed that the groups differ based on age, FSH, FSH/LH rate, number of punctured follicles, oocyte recovery rate, number of oocytes, oocytes in metaphase II and I, inseminated and fertilized oocytes, number of embryos at days 2 and 3 of cultive and on the embryo quality. The LC-MS analysis showed 14 metabolites of higher abundance, which were attributed as fatty acids, diacylglycerol, triacylglycerol, ceramide, phosphatidylcholine and sphingomyelin. The PCOS group presented one compound of higher abundance that was not attributed. The PS-MS demonstrated 9 metabolites more abundant for the control group that were attributed to fatty acids, monoacylglycerol, lyso-phosphoglycerol, lyso-sphingomyelin and sphingosine-1-phosphate. Four metabolites were of higher abundance for the PCOS group, for which the attribution was not possible. The HR group showed high abundance of 2 metabolites and one was attributed as Lyso-phosphoinositol-phosphate. Conclusion: The follicular fluid metabolomic analysis for patients with PCOS and hyper response to gonadotropins demonstrated differences among the groups that could be associated with oocyte quality and consequent embryo quality and development. In addition, the attribution of metabolites indicated that the study of these compounds may assist on elucidation of pathophysiological mechanism related to PCOS and the risk of hyper response to controlled ovarian stimulation.