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Volatilomics as an Emerging Strategy to Determine Potential Biomarkers of Female Infertility: A Pilot Study

Ana Teresa Brinca, Ofélia Anjos, Maria Manuel Casteleiro Alves, Ângela Sousa, Antônio Hélio Oliani, Luiza Breitenfeld, Luís A. Passarinha, Ana Cristina Ramalhinho, Eugénia Gallardo

2022Biomedicines18 citationsDOIOpen Access PDF

Abstract

Due to its high prevalence, infertility has become a prominent public health issue, posing a significant challenge to modern reproductive medicine. Some clinical conditions that lead to female infertility include polycystic ovary syndrome (PCOS), endometriosis, and premature ovarian failure (POF). Follicular fluid (FF) is the biological matrix that has the most contact with the oocyte and can, therefore, be used as a predictor of its quality. Volatilomics has emerged as a non-invasive, straightforward, affordable, and simple method for characterizing various diseases and determining the effectiveness of their current therapies. In order to find potential biomarkers of infertility, this study set out to determine the volatomic pattern of the follicular fluid from patients with PCOS, endometriosis, and POF. The chromatographic data integration was performed through solid-phase microextraction (SPME), followed by gas chromatography-mass spectrometry (GC-MS). The findings pointed to specific metabolite patterns as potential biomarkers for the studied diseases. These open the door for further research into the relevant metabolomic pathways to enhance infertility knowledge and diagnostic tools. An extended investigation may, however, produce a new mechanistic understanding of the pathophysiology of the diseases.

Topics & Concepts

InfertilityEndometriosisPolycystic ovaryFollicular fluidFemale infertilityMedicineUnexplained infertilityMetabolomicsFollicular phaseReproductive medicineBioinformaticsPhysiologyOocyteGynecologyInternal medicineBiologyPregnancyObesityInsulin resistanceCell biologyGeneticsEmbryoOvarian function and disordersEndometriosis Research and TreatmentReproductive Biology and Fertility