The intrafollicular concentration of leptin as a potential biomarker to predict oocyte maturity in in-vitro fertilization.
Sci Rep
; 12(1): 19573, 2022 11 15.
Article
em En
| MEDLINE
| ID: mdl-36379980
ABSTRACT
Oocyte maturity is critical to the development potential of the embryo and pregnancy outcomes in natural and in-vitro fertilization (IVF). In IVF, oocyte maturity is typically evaluated using morphological criteria, although such assessment remains highly subjective. To identify reliable biomarkers of oocyte maturity, this study investigates the relationship between follicular cytokine concentrations and oocyte maturity in IVF patients with different ovarian reserves. In this prospective study, follicular fluid was collected during oocyte retrieval and the concentrations of cytokines involved in ovarian folliculogenesis were determined. Follicular fluid cytokine concentrations were compared between participants in three groups according to serum anti-Mullerian hormone (AMH) concentration, as follows low AMH, < 2 ng/mL; normal AMH, 2-5 ng/mL; and high AMH, > 5 ng/mL. Pearson's correlation coefficient analysis showed that the number of mature oocytes correlated positively and strongly with serum AMH level (r = 0.719; p < 0.01). The leptin concentration in follicular fluid was significantly higher in women with normal AMH level than in those with low or high levels. ROC curve analysis showed that the follicular fluid levels of leptin (area under ROC curve, 0.829; 95% confidence interval, 0.659-0.998; p < 0.01) and SCF (area under ROC curve, 0.706; 95% confidence interval, 0.491-0.921; p = 0.087) were the best predictors of oocyte maturity. At an optimal cut-off value of 16 ng/mL, leptin had positive predictive value (sensitivity) up to 70% and negative predictive value (specificity) of 91% for indicating oocyte maturity. The concentration of leptin in follicular fluid is closely related to ovarian reserve and may serve as a biomarker to predict oocyte maturity.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Observational_studies
/
Prognostic_studies
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Risk_factors_studies
Limite:
Female
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Humans
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Pregnancy
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article