Anti-Müllerian hormone exhibits a great variation in infertile women with different ovarian reserve patterns

Analysis of two layered peristaltic-ciliary transport of Jeffrey fluid and in vitro preimplantation embryo development

The analysis of peristaltic-ciliary transport in the human female fallopian tube, specifically in relation to the growing embryo, is a matter of considerable physiological importance. This paper proposes a biomechanical model that incorporates a finite permeable tube consisting of two layers, where the Jeffrey fluid model characterizes the viscoelastic properties of the growing embryo and continuously secreting fluid. Jeffrey fluid entering with some negative pressure gradient forms the core fluid layer while continuously secreting Jeffrey fluid forms the peripheral fluid layer. The resulting partial differential equations are solved for closed-form solutions after employing the assumption of long wavelength. The analysis delineated that increasing the constant secretion velocity, Darcy number, and Reynolds number leads to a decrease in the appropriate residue time of the core fluid layer and a reduction in the size of the secreting fluid bolus in the peripheral fluid layer. Eventually, the boluses completely disappear when the constant secretion velocity exceeds 3.0 Progesterone ([Formula: see text]) and estradiol ([Formula: see text]) directly regulate the transportation of the growing embryo, while luteinizing hormone (LH) and follicle-stimulating hormone (FSH), prolactin, anti-mullerian hormone (AMH), and thyroid-stimulating hormone (TSH) have an indirect effects. Based on the number and size of blastomeres, the percentage of fragmentation, and the presence of multinucleated blastomeres two groups were formed in an in vitro experiment. Out of 50 patients, 26 (76.5%) were pregnant in a group of the good quality embryos, and only 8 (23.5%) were in a group of the bad quality embryos. The transport of growing embryo in the human fallopian tube and preimplantation development of human embryos in in vitro are constraint by baseline hormones FSH, LH, prolactin, [Formula: see text], AMH, and TSH.

The Stability of the Anti-Müllerian Hormone in Serum and Plasma Samples under Various Preanalytical Conditions

The anti-Müllerian hormone (AMH) is a glycoprotein that plays an important role in prenatal sex differentiation. It is used as a biomarker in polycystic ovary syndrome (PCOS) diagnostics, as well as for estimating an individual's ovarian reserve and the ovarian response to hormonal stimulation during in vitro fertilization (IVF). The aim of this study was to test the stability of AMH during various preanalytical conditions that are in accordance with the ISBER (International Society for Biological and Environmental Repositories) protocol. Plasma and serum samples were taken from each of the 26 participants. The samples were then processed according to the ISBER protocol. AMH levels were measured in all the samples simultaneously using the chemiluminescent kit ACCESS AMH in a UniCel^® DxI 800 Immunoassay System (Beckman Coulter, Brea, CA, USA). The study proved that AMH retains a relatively high degree of stability during repeated freezing and thawing in serum. AMH was shown to be less stable in plasma samples. Room temperature proved to be the least suitable condition for the storage of samples before performing the biomarker analysis. During the testing of storage stability at 5-7 °C, the values decreased over time for all the plasma samples but remained stable in the serum samples. We proved that AMH is highly stable under various stress conditions. The anti-Müllerian hormone retained the greatest stability in the serum samples.

Nomogram of age-specific anti-Müllerian hormone levels in healthy Egyptian females

BACKGROUND

Anti-Müllerian hormone (AMH) is an important determinant of ovarian reserve in fertility workups in many clinical settings. Thus, we investigated the age dependent decline in AMH specific to the Egyptian population and sought to establish an age dependent reference interval parametrically.

METHODS

Serum samples were collected from 841 apparently healthy women. AMH was measured using an electro-chemiluminescent technique. Box-Cox power transformation was used to make the AMH distribution Gaussian for parametric derivation of reference intervals.

RESULTS

Power of 0.4 was found optimal for Gaussian transformation of AMH reference values. We demonstrate the strong negative relation between circulating AMH and female age with Spearman's correlation coefficient of rS = -0.528. Age-specific reference interval was determined for every 5 years of age from 16 to 49, and nomogram was constructed by smoothing the lines connecting adjacent lower and upper reference limits.

CONCLUSION

The age-specific reference intervals and the age-AMH nomogram could be valuable in the clinical practice of in reproductive medicine. To our knowledge, this is the first study to confirm AMH levels in Egyptian females. We were able to explore age-related AMH levels specific to Egyptian females in the fertile age group and to treat skewed AMH data in a multi-step scheme using power transformation. Thus, a more accurate nomogram was constructed accommodating a profile delineated for a wide age range and a rescaled AMH axis improving its usability.

Searching for female reproductive aging and longevity biomarkers

Female reproductive aging is, in a way, a biological phenomenon that develops along canonical molecular pathways; however, it has particular features. Recent studies revealed complexity of the interconnections between reproductive aging and aging of other systems, and even suggested a cause-effect uncertainty between them. It was also shown that reproductive aging can impact aging processes in an organism at the level of cells, tissues, organs, and systems. Women at the end of their reproductive lives are characterized by the accelerated incidence of age-related diseases. Timing of the onset of menarche and menopause and variability in the duration of reproductive life carry a latent social risk: not having enough information about the reproductive potential, women keep on postponing childbirth. Identification and use of the most accurate and sensitive aging biomarkers enable the prediction of menopause timing and quantification of the true biological and reproductive ages of an organism. We discuss current views on reproductive aging and peculiarities of using available biomarkers of aging. We also consider latest advances in the search for potential genetic markers of reproductive aging. Finally, we posit the importance of determining the female biological age and highlight potential research directions in this area.

Comparison of Automated Anti-Müllerian Hormone Assays and Antral Follicle Count in Predicting Ovarian Response During Ovarian Stimulation

Objective: Various parameters had been used to predict ovarian response. Among them, Anti-Müllerian Hormone (AMH) and antral follicle count (AFC) demonstrate the most favourable analytical and performance characteristics. In this pilot study, we aim to determine the cut-off levels of AMH using automated AMH assays and AFC in the prediction of poor and high responders.

Study Design: Prospective study of 43 women between 21 to 45 years old scheduled for assisted reproduction. AMH levels on day 3 of menstruation were analysed using two immunoassay kits, namely the Beckman Coulter Access AMH and the Roche Elecsys AMH on the two automated analysers Beckman Coulter DxI 800 and Roche Cobas e602 respectively. AFC was also assessed on day 3 of menstruation prior to in vitro fertilization (IVF). These were compared with the number of oocytes retrieved after controlled ovarian stimulation.

Results: AMH (Beckman Coulter Access AMH and Roche Elecsys AMH) highly correlated with AFC and the number of oocytes retrieved after ovarian stimulation. Beckman Coulter Access AMH was the better predictor for poor ovarian response with ROC [Formula: see text] of 0.83. For the prediction of a high response, AFC had a higher ROC [Formula: see text] of 0.95. Through ROC, the AMH cut-off level for poor ovarian response was 2.23 ng/ml with Beckman Coulter Access AMH and 2.02 ng/ml with Roche Elecsys AMH, while the AMH cut-off for a high ovarian response was 5.19 ng/ml with Beckman Coulter Access AMH and 4.60 ng/ml with Roche Elecsys AMH. For AFC, the cut-off for poor ovarian response was 18 and for high response was 34.

Conclusion: AMH and AFC are reliable predictors of ovarian response. Establishment of specific levels may improve individualised controlled ovarian stimulation and optimise the oocyte yield. Larger studies are required to establish these findings.

Anti-Müllerian hormone variability and its implications for the number of oocytes retrieved following individualized dosing with follitropin delta

OBJECTIVE

The stability of anti-Müllerian hormone (AMH) across and between menstrual cycles has been the subject of debate. The objective of this analysis was to study the inter- and intracycle variability in repeated measurements and assess the impact on an individualized gonadotropin dosing algorithm and predicted oocyte yield.

DESIGN

Retrospective analysis of repeat AMH measures from a randomized controlled trial.

PATIENTS

A total of 1326 women aged 18-40 years.

MEASUREMENTS

Serum AMH levels at screening and at cycle day 2-3 in up to three ovarian stimulation cycles. AMH variability and its impact on gonadotropin dose and the predicted number of oocytes.

RESULTS

Repeat serum AMH measurements were strongly correlated within individual women (correlation coefficient 0.92). AMH exhibited limited within-subject variation (coefficient of variation 23%), a small time-related decline (mean 6% decrease/y), but no systematic variation across the menstrual cycle. Irrespective of whether the AMH screening value or the AMH at the initiation of ovarian stimulation was used, for women with an AMH level <15 pmol/L, 93% would receive the same gonadotropin dose and attain an identical number of oocytes in 97% of cases. For women with an AMH level ≥15 pmol/L, 80% would receive an individualized dose within ±1.5 μg and 90% would attain ±1 oocyte.

CONCLUSION

AMH variability had limited impact on individualized gonadotropin dosing, with 95% of women predicted to obtain an oocyte yield that does not vary beyond 1 oocyte count, irrespective of whether a random or early follicular AMH measurement was used to determine the individualized gonadotropin dose.

Anti-müllerian Hormone During Natural Cycle Presents Significant Intra and Intercycle Variations When Measured With Fully Automated Assay

Anti-Müllerian hormone (AMH) is an important ovarian reserve marker for baseline assessment and therapeutic strategy in fertility treatments, which is considered reliable when measured on any day of the cycle. Recent data have pointed toward significant fluctuations of AMH and questioned whether a single measurement is reliable for clinical decision-making. The aim of this study was to evaluate whether the AMH does have significant variations during a natural cycle when a fully automated assay is used for the sample analysis. We performed a prospective study including healthy volunteers with regular cycles, from April to December 2017. Blood samples for AMH, FSH, LH, estradiol, and progesterone were obtained on day 2/3, day 10, day of LH surge, luteal phase and day 2/3 of subsequent menses. AMH analysis was performed with Elecsys® AMH automated assay. Trial was registered with clinical.trials.gov: NCT03106272. One hundred samples from 22 women with a mean age of 30.74 ± 0.11 years and a BMI of 23.23 ± 0.63 kg/m2 were analyzed. There was a substantial longitudinal fluctuation in AMH levels, indicated by the coefficient of variation (CV) intra-cycle of 0.2070 ± 0.143. A positive correlation between LH and AMH concentrations was found at the moment of LH rise (p < 0.0001). Absolute intra-individual inter-cyclic variability was 0.75 ng/mL (range: 0.03-2.81 ng/mL) and inter-cycle CV was 0.28 (Confidence interval: 0.16-0.39; p < 0.0001). According to our results, with the use of a fully automated assay in natural cycle, AMH shows significant intra- and inter-cycle variations, which are not caused by analytical variability. Future investigations, evaluating AMH dynamics and the best time for AMH assessment should be conducted.