Title: | Volatilomics as an Emerging Strategy to Determine Potential Biomarkers of Female Infertility: A Pilot Study |
Author(s): | Brinca AT; Anjos O; Alves MMC; Sousa A; Oliani AH; Breitenfeld L; Passarinha LA; Ramalhinho AC; Gallardo E; |
Address: | "Health Sciences Research Centre, Faculty of Health Sciences, University of Beira Interior, 6200-506 Covilha, Portugal. Instituto Politecnico de Castelo Branco, Quinta da Senhora de Mercules, 6001-909 Castelo Branco, Portugal. CEF-Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal. Assisted Reproduction Laboratory of Academic Hospital of Cova da Beira, 6200-251 Covilha, Portugal. Sao Jose do Rio Preto School of Medicine, Gynaecology and Obstetrics, Sao Jose do Rio Preto 15090-000, Brazil. C4-Cloud Computing Competence Centre, University of Beira Interior, 6201-001 Covilha, Portugal. Applied Molecular Biosciences Unit, Departament of Chemistry, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal. Associate Laboratory i4HB-Institute for Health and Bioeconomy, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2819-516 Caparica, Portugal. Laboratorio de Farmaco-Toxicologia, UBIMedical, University of Beira Interior, 6200-284 Covilha, Portugal" |
DOI: | 10.3390/biomedicines10112852 |
ISSN/ISBN: | 2227-9059 (Print) 2227-9059 (Electronic) 2227-9059 (Linking) |
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" |
Keywords: | endometriosis follicular fluid gas chromatography-mass spectrometry infertility polycystic ovary syndrome premature ovarian failure solid-phase microextraction volatile organic compounds; |
Notes: | "PubMed-not-MEDLINEBrinca, Ana Teresa Anjos, Ofelia Alves, Maria Manuel Casteleiro Sousa, Angela Oliani, Antonio Helio Breitenfeld, Luiza Passarinha, Luis A Ramalhinho, Ana Cristina Gallardo, Eugenia eng Centro-01-0145- FEDER-000019/European Regional Development Fund/ UIDB/00709/2020/Fundacao para a Ciencia e Tecnologia/ UIDP/00709/2020/Fundacao para a Ciencia e Tecnologia/ Switzerland 2022/11/12 Biomedicines. 2022 Nov 8; 10(11):2852. doi: 10.3390/biomedicines10112852" |