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Follicle-stimulating hormone receptor gene polymorphisms of ovarian reserve markers in Romanian population.

ABSTRACT: Association between phenotype and follicle-stimulating hormone (FSH) receptor and FSH beta chain genotype was evaluated in women with ovarian dysfunction. FSH receptor gene single nucleotide polymorphisms (SNPs) were analyzed by restricted fragment length polymorphism (RFLP) technique. Three groups were analyzed: two groups formed of poor responders (women with ovarian dysfunctions caused by endometriosis and patients who underwent ovarian stimulation protocols) and a third good responders group (normal-ovulatory women who gave birth to naturally conceived children). A higher average level of basal FSH values were found in mutants in the A919G/Ala307Thr/rs6165 or A2039G/Asn680Ser/rs6166 tests (7.16±1.09; P=0.659). Anti-mullerian hormone (AMH) below 1.2 ng/ml was associated with a higher frequency of mutations: 33.3% A919G/Ala307Thr and A2039G/Asn680Ser (P=0.137) and also in 66.6% FSH receptor less frequent polymorphism (c.-29G>A) rs 1394205 (P=0.522). The age, day 3 FSH, and AMH levels are widely used to investigate female infertility. However, we have not yet found the ideal biomarker to determine the best outcome and treatment plan for our patients. We cconsider that genetic markers will become the future in the personalization of controlled ovarian stimulation treatment in the upcoming period.

SUBMITTER: Tanase AE

PROVIDER: S-EPMC7588789 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Follicle-stimulating hormone receptor gene polymorphisms of ovarian reserve markers in Romanian population.

Tănase Adina-Elena AE Nemescu Dragos D Popescu Roxana R Carauleanu Alexandru A Mogos Raluca Anamaria RA Luca Alexandru A Onofriescu Mircea M

Experimental and therapeutic medicine 20201014 6

Association between phenotype and follicle-stimulating hormone (FSH) receptor and FSH beta chain genotype was evaluated in women with ovarian dysfunction. FSH receptor gene single nucleotide polymorphisms (SNPs) were analyzed by restricted fragment length polymorphism (RFLP) technique. Three groups were analyzed: two groups formed of poor responders (women with ovarian dysfunctions caused by endometriosis and patients who underwent ovarian stimulation protocols) and a third good responders group ...[more]

PMID: 33123232

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Project description:BackgroundPreviously, we reported a model for assessing ovarian reserves using 4 predictors: anti-Müllerian hormone (AMH) level, antral follicle count (AFC), follicle-stimulating hormone (FSH) level, and female age. This model is referred as the AAFA (anti-Müllerian hormone level-antral follicle count-follicle-stimulating hormone level-age) model.ObjectiveThis study aims to explore the possibility of establishing a model for predicting ovarian reserves using only 3 factors: AMH level, FSH level, and age. The proposed model is referred to as the AFA (anti-Müllerian hormone level-follicle-stimulating hormone level-age) model.MethodsOocytes from ovarian cycles stimulated by gonadotropin-releasing hormone antagonist were collected retrospectively at our reproductive center. Poor ovarian response (<5 oocytes retrieved) was defined as an outcome variable. The AFA model was built using a multivariable logistic regression analysis on data from 2017; data from 2018 were used to validate the performance of AFA model. Measurements of the area under the curve (AUC), sensitivity, specificity, positive predictive value, and negative predicative value were used to evaluate the performance of the model. To rank the ovarian reserves of the whole population, we ranked the subgroups according to the predicted probability of poor ovarian response and further divided the 60 subgroups into 4 clusters, A-D, according to cut-off values consistent with the AAFA model.ResultsThe AUCs of the AFA and AAFA models were similar for the same validation set, with values of 0.853 (95% CI 0.841-0.865) and 0.850 (95% CI 0.838-0.862), respectively. We further ranked the ovarian reserves according to their predicted probability of poor ovarian response, which was calculated using our AFA model. The actual incidences of poor ovarian response in groups from A-D in the AFA model were 0.037 (95% CI 0.029-0.046), 0.128 (95% CI 0.099-0.165), 0.294 (95% CI 0.250-0.341), and 0.624 (95% CI 0.577-0.669), respectively. The order of ovarian reserve from adequate to poor followed the order from A to D. The clinical pregnancy rate, live-birth rate, and specific differences in groups A-D were similar when predicted using the AFA and AAFA models.ConclusionsThis AFA model for assessing the true ovarian reserve was more convenient, cost-effective, and objective than our original AAFA model.

Dataset Information

Follicle-stimulating hormone receptor gene polymorphisms of ovarian reserve markers in Romanian population.

Publications

Follicle-stimulating hormone receptor gene polymorphisms of ovarian reserve markers in Romanian population.

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