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

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.

Women with polycystic ovary syndrome and other causes of infertility have a higher prevalence of GSTT1 deletion.

RESEARCH QUESTION: Is GSTM1 and GSTT1 deletion associated with the development of polycystic ovary syndrome (PCOS)? DESIGN: A case-control study was designed to investigate the association between GSTM1 and GSTT1 gene polymorphisms with PCOS. Blood samples from 201 women diagnosed with infertility were taken, of which 69 women were diagnosed with PCOS. Genomic DNA was extracted, and genotyping analyses were conducted by polymerase chain reaction-based methods. Odds ratios and 95% confidence intervals were calculated by unconditional logistic regression. RESULTS: An increased risk of PCOS was found to be associated with GSTT1 null genotype (OR 4.890, 95% CI 2.261 to 9.122; P < 0.001). A strong association between GSTT1 null genotype was found with female infertility, regardless of the associated cause (OR 5.300, 95% CI 3.238 to 8.675; P < 0.001) as well as with the GSTM1 null genotype (OR 1.620, 95% CI 1.067 to 2.459; P = 0.026). A statistically significant association with the development of infertility was also found when carriers of the combined genotype GSTT1+/GSTM1+ was compared with carriers of the combined genotype GSTT1-/ GSTM1+ (OR 3.600 95% CI 1.864 to 6.956; P < 0.001). The two-way combination of GSTT1 and GSTM1 null genotypes resulted in an increased susceptibility to infertility development (OR 11.136; 95% CI 5.035 to 24.629; P < 0.001). CONCLUSIONS: Carriers of GSTT1 null genotype seem to have higher susceptibility to developing PCOS and infertility from other causes. Also, GSTT1 null genotype, alone or in association, are related with increased susceptibility to infertility development, independently of its cause. GSTM1 null genotype is only associated with all cause of infertility when the GSTT1 is null.