Multiplexed Serum Biomarkers to Discriminate Nonviable and Ectopic Pregnancy.

OBJECTIVE: The use of multiplexed biomarkers may improve the diagnosis of normal and abnormal early pregnancies. In this study we assessed 24 markers with multiple machine learning-based methodologies to evaluate combinations of top candidates to develop a multiplexed prediction model for identification of 1) viability and 2) location of an early pregnancy. DESIGN: A nested case-control design evaluating the predictive ability and discrimination of biomarkers in patients at risk of early pregnancy failure in the first trimester to classify viability and location SUBJECTS: 218 individuals with a symptomatic (pain and/or bleeding) early pregnancy: 75 with an ongoing intrauterine gestation, 68 ectopic pregnancies, and 75 miscarriages. INTERVENTIONS: Serum values of 24 biomarkers were assessed in the same patients. Multiple machine learning-based methodologies to evaluate combinations of these top candidates to develop a multiplexed prediction model for identification of 1) a nonviable pregnancy (ongoing intrauterine pregnancy vs miscarriage or ectopic pregnancy) and 2) an ectopic pregnancy (ectopic pregnancy vs ongoing intrauterine pregnancy or miscarriage). MAIN OUTCOME MEASURES: The predicted classification by each model was compared to actual diagnosis and sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), conclusive classification, and accuracy were calculated. RESULTS: Models using classification regression tree analysis using three markers (PSG3, CG-Alpha and PAPPA) were able to predict a maximum sensitivity 93.3%, a maximum specificity 98.6%. The model with the highest accuracy was 97.4% (with 70.2% receiving classification). Models using an overlapping group of three markers (sFLT, PSG3 and TFP12) achieved a maximum sensitivity of 98.5%. and a maximum specificity of 95.3%. The model with the highest accuracy was 94.4% (with 65.6% receiving classification). When the models were used simultaneously the conclusive classification increased to 72.7% with an accuracy 95.9%. The predictive ability of the biomarkers random forest produced similar test characteristics when using 11 predictive markers. CONCLUSION: We have demonstrated a pool of biomarkers from divergent biological pathways that can be used to classify individuals with potential early pregnancy loss. The biomarkers CG-Alpha, PAPPA and PSG3 can be used to predict viability and sFLT, TPFI2 and PSG3 can be used to predict pregnancy location.

Evaluation of novel biomarkers for early pregnancy outcome prediction†.

OBJECTIVE: To assess performance and discriminatory capacity of commercially available enzyme-linked immunosorbent assays of biomarkers for predicting first trimester pregnancy outcome in a multi-center cohort. DESIGN: In a case-control study at three academic centers of women with pain and bleeding in early pregnancy, enzyme-linked immunosorbent assays of biomarkers were screened for assay performance. Performance was assessed via functional sensitivity, assay reportable range, recovery/linearity, and intra-assay precision (%Coefficient of Variation). Top candidates were analyzed for discriminatory capacity for viability and location among 210 women with tubal ectopic pregnancy, viable intrauterine pregnancy, or miscarriage. Assay discrimination was assessed by visual plots, area under the curve with 95% confidence intervals, and measures of central tendency with two-sample t-tests. RESULTS: Of 25 biomarkers evaluated, 22 demonstrated good or acceptable assay performance. Transgelin-2, oviductal glycoprotein, and integrin-linked kinase were rejected due to poor performance. The best biomarkers for discrimination of pregnancy location were pregnancy-specific beta-1-glycoprotein 9, pregnancy-specific beta-1-glycoprotein 1, insulin-like growth factor binding protein 1, kisspeptin (KISS1), pregnancy-specific beta-1-glycoprotein 3, and beta parvin (PARVB). The best biomarkers for discrimination of pregnancy viability were pregnancy-specific beta-1-glycoprotein 9, pregnancy-specific beta-1-glycoprotein 3, EH domain-containing protein 3, KISS1, WAP four-disulfide core domain protein 2 (HE4), quiescin sulfhydryl oxidase 2, and pregnancy-specific beta-1-glycoprotein 1. CONCLUSION: Performance of commercially available enzyme-linked immunosorbent assays was acceptable for a panel of novel biomarkers to predict early pregnancy outcome. Of these, six and seven candidates demonstrated good discriminatory capacity of pregnancy location and viability, respectively, when validated in a distinct external population. Four markers demonstrated good discrimination for both location and viability.

Validation of a multiple marker test for early pregnancy outcome prediction.

PURPOSE: To validate the use of a multiple biomarker test panel for predicting first trimester pregnancy outcome in a multi-center cohort. METHODS: A case-control study of women presenting with pain and bleeding in early pregnancy at 5-10 weeks gestational age was performed at three academic centers. Sera from women with ectopic pregnancy (EP), viable intrauterine pregnancy (IUP), and miscarriage (SAB) were analyzed via immunoassay for Activin A (AA), Progesterone (P4), A Disintegrin And Metalloprotease-12 (ADAM12), pregnancy-associated plasma protein A (PAPP-A), glycodelin (Glyc), and human chorionic gonadotropin (hCG). Biomarkers were assessed for reproducibility using medians, ranges, standard deviations, and area under receiver-operating characteristic curve (AUC) and accuracy in early pregnancy outcome classification compared to a previous derivation population. RESULTS: In 192 pregnancies, the biomarkers demonstrated good reproducibility with similar medians, ranges, and AUCs when compared to the derivation population except glycodelin. Pregnancy location was conclusively classified in 53% (n = 94) of the whole study sample with 78% accuracy. Pregnancy viability was conclusively classified in 58% (n = 112) of the new sample with 89% accuracy. Results were similar with subsequent model revisions where glycodelin was excluded and in the subgroups of subjects with a hCG below 2000 mIU/mL and a gestational age less than 6 weeks. CONCLUSION: The use of a panel of biomarkers to maximize test accuracy of a prediction of pregnancy location and prediction of pregnancy viability was reproducible and validated in an external population from which it was derived, but clinical utility is limited based on the test characteristics obtained.

Novel ploidy analysis in ectopic pregnancy.

OBJECTIVE: To study whether a single-nucleotide polymorphism (SNP) array could be used to test tissue from ectopic pregnancy to distinguish whether ectopic pregnancies were aneuploid. DESIGN: Case series report. SETTING: Academic medical center. PATIENTS: One hundred seventy-eight women who underwent surgery for ectopic pregnancy at Northwestern Memorial Hospital between 2015 and 2018 were eligible for participation; written consent was obtained from 33 patients. Eight subjects had sufficient DNA samples and were included in the analysis. Maternal and paternal DNA samples were self-collected by buccal swab. Archived paraffin tissue containing chorionic villi from each surgically removed ectopic specimen was analyzed using SNP microarray technology to determine chromosome number and evaluate for maternal cell contamination. INTERVENTIONS: None. MAIN OUTCOME MEASURES: Prevalence of aneuploidy in ectopic pregnancy specimens as well as success of SNP array technology in formalin-fixed and paraffin-embedded specimens. RESULTS: Subjects had a mean (±SD) age of 33.4 ± 5.4 years, body mass index of 23.4 ± 5.7 kg/m2, 3.3 ± 1.8 prior pregnancies, and 1.5 ± 1.4 live births. Genetic testing revealed that all eight tested samples were euploid, 6 female and 2 male (two arr(1-22)x2, (X,Y)x1 and 6 arr(1-22, X)x2); maternal cell contamination was ruled out in all cases. CONCLUSIONS: This study showed proof of concept for the use of routinely stored formalin-fixed, paraffin-embedded tissue blocks with DNA extraction for SNP array to detect ploidy status of ectopic pregnancy. Although all tested samples were euploid, further research is needed to gain a definitive answer to this question and better understand the mechanism that leads to ectopic implantation.

Can embryo morphokinetic parameters predict euploid pregnancy loss?

OBJECTIVE: To use time-lapse imaging to compare embryo morphokinetic parameters between embryos resulting in euploid pregnancy loss and euploid embryos resulting in live birth. DESIGN: Retrospective cohort study. SETTING: Single academic fertility center. PATIENT(S): All euploid single embryo transfers between October 2015 and January 2018. INTERVENTION(S): Collection and analysis of baseline characteristics, cycle parameters, and outcomes. MAIN OUTCOME MEASURE(S): Embryo morphokinetic measurements assessed with time-lapse imaging for time to syngamy (TPNf), time to two cells, time to three cells, time to four cells, time to eight cells, time to morula, and time to blastocyst. RESULT(S): The study included 192 euploid single-embryo transfers. Of these, the pregnancy rate was 78% (150 of 193) and the live-birth rate was 63% (121 of 193). There were 43 transfers that did not result in pregnancy, 15 biochemical pregnancy losses, 13 clinical losses, and 121 live births. There was no statistically significant difference in age, body mass index, or number of oocytes retrieved between the groups. Unadjusted and adjusted models revealed no differences in the morphokinetics of embryos resulting in euploid miscarriage compared with those resulting in live birth. CONCLUSION(S): Embryos that resulted in a euploid miscarriage did not display evidence of abnormal morphokinetics on time-lapse imaging. Euploid pregnancy loss is likely multifactorial, including both embryo and endometrial factors. Further research is needed to identify factors that can predict and prevent euploid loss.

Embryo transfer training in fellowship: national and institutional data.

OBJECTIVE: To evaluate current national practices in embryo transfer (ET) training in United States reproductive endocrinology and infertility (REI) fellowship programs and live birth rates after ET performed by fellows versus attending physicians. DESIGN: Cross-sectional survey of U.S. fellowship program directors and fellows in 2019 and retrospective cohort study of IVF cycle outcomes after ET performed by fellows versus attending physicians. SETTING: Not applicable. PATIENT(S): Fellowship program directors and fellows completed a survey. Embryo transfers from 2015-2018 were analyzed. INTERVENTION(S): A survey assessed experiences with ET training. Cycle outcomes were analyzed. MAIN OUTCOME MEASURE(S): Proportion of fellows performing ET during training, and live birth rate following fellow and faculty ETs. RESULT(S): Anonymous surveys were sent to 51 REI fellowship program directors and 142 fellows. Twenty-one percent (15/73) reported that no ETs were performed by fellows. Forty-four percent of third-year fellows had performed fewer than ten ETs during fellowship training. Retrospective review of 940 blastocyst ETs revealed no difference in live birth rates between fellows and attending physicians: 51.6% (131/254) versus 49.4% (339/686), respectively. CONCLUSION(S): This study revealed striking differences between fellowship programs regarding the adequacy of ET training; nearly one-half of third-year fellows had performed fewer than ten ETs. With appropriate supervision, there is no difference in live birth rate between ETs performed by fellows and attending physicians. Efforts should be made to address barriers and set minimums for the number of transfers performed during fellowship.

Economic evaluation of highly purified human menotropin or recombinant follicle-stimulating hormone for controlled ovarian stimulation in high-responder patients: analysis of the Menopur in Gonadotropin-releasing Hormone Antagonist Single Embryo Transfer-High Responder (MEGASET-HR) trial.

OBJECTIVE: To determine the cost of achieving a live birth after first transfer using highly purified human menotropin (HP-hMG) or recombinant follicle-stimulating hormone (FSH) for controlled ovarian stimulation in predicted high-responder patients in the Menopur in Gonadotropin-releasing hormone Antagonist Single Embryo Transfer-High Responder (MEGASET-HR) trial. DESIGN: Cost minimization analysis of trial results. SETTING: Thirty-one fertility centers. PATIENTS: Six hundred and nineteen women with serum antimüllerian hormone ≥5 ng/mL. INTERVENTIONS: Controlled ovarian stimulation with HP-hMG or recombinant FSH in a gonadotropin-releasing hormone (GnRH) antagonist assisted reproduction cycle where fresh transfer of a single blastocyst was performed unless ovarian response was excessive whereupon all embryos were cryopreserved and patients could undergo subsequent frozen blastocyst transfer within 6 months of randomization. MAIN OUTCOME MEASURES: Mean cost of achieving live birth after first transfer (fresh or frozen). RESULTS: First-transfer efficacy, defined as live birth after first fresh or frozen transfer, was 54.5% for HP-hMG and 48.0% for recombinant FSH (difference 6.5%). Average cost to achieve a live birth after first transfer (fresh or frozen) was lower with HP-hMG compared with recombinant FSH. For fresh transfers, the cost was lower with HP-hMG compared with recombinant FSH. The average cost to achieve a live birth after first frozen transfer was also lower in patients treated with HP-hMG compared with recombinant FSH. CONCLUSIONS: Treatment of predicted high-responders with HP-hMG was associated with lower cost to achieve a live birth after first transfer compared with recombinant FSH. CLINICAL TRIAL REGISTRATION NUMBER: NCT02554279.

Validation of a Single-Nucleotide Polymorphism-Based Non-Invasive Prenatal Test in Twin Gestations: Determination of Zygosity, Individual Fetal Sex, and Fetal Aneuploidy.

We analyzed maternal plasma cell-free DNA samples from twin pregnancies in a prospective blinded study to validate a single-nucleotide polymorphism (SNP)-based non-invasive prenatal test (NIPT) for zygosity, fetal sex, and aneuploidy. Zygosity was evaluated by looking for either one or two fetal genome complements, fetal sex was evaluated by evaluating Y-chromosome loci, and aneuploidy was assessed through SNP ratios. Zygosity was correctly predicted in 100% of cases (93/93; 95% confidence interval (CI) 96.1%-100%). Individual fetal sex for both twins was also called with 100% accuracy (102/102; 95% weighted CI 95.2%-100%). All cases with copy number truth were also correctly identified. The dizygotic aneuploidy sensitivity was 100% (10/10; 95% CI 69.2%-100%), and overall specificity was 100% (96/96; 95% weighted CI, 94.8%-100%). The mean fetal fraction (FF) of monozygotic twins (n = 43) was 13.0% (standard deviation (SD), 4.5%); for dizygotic twins (n = 79), the mean lower FF was 6.5% (SD, 3.1%) and the mean higher FF was 8.1% (SD, 3.5%). We conclude SNP-based NIPT for zygosity is of value when chorionicity is uncertain or anomalies are identified. Zygosity, fetal sex, and aneuploidy are complementary evaluations that can be carried out on the same specimen as early as 9 weeks' gestation.

Sperm DNA fragmentation and recurrent pregnancy loss: a systematic review and meta-analysis.

OBJECTIVE: To investigate the rate of sperm DNA fragmentation in male partners of women with recurrent pregnancy loss and fertile control women. DESIGN: Systematic review and meta-analysis. SETTING: Not applicable. PATIENT(S): A total of 579 male partners of women with recurrent pregnancy loss and 434 male partners fertile control women. INTERVENTION(S): Prospective studies were identified through a Pubmed search. Recurrent pregnancy loss was defined as two or more previous pregnancy losses. Fertile control women had a history of a live birth or ongoing pregnancy. MAIN OUTCOME MEASURE(S): The primary outcome was the rate of sperm DNA fragmentation. The summary measures were reported as mean difference with 95% confidence interval (CI). RESULT(S): Fifteen prospective studies were included in a qualitative review. Pooled data from 13 studies with sufficient data for meta-analysis suggest that male partners of women with a history of recurrent pregnancy loss have a significantly higher rate of sperm DNA fragmentation compared to the partners of fertile control women: mean difference 11.91, 95% CI 4.97-18.86. CONCLUSION(S): These findings support an association between sperm DNA fragmentation and recurrent pregnancy loss. However, given the significant heterogeneity between studies and lack of prospective pregnancy outcome data, further large prospective studies are needed.

30 years of data: impact of the United States in vitro fertilization data registry on advancing fertility care.

OBJECTIVE: To summarize and assess the impact of key research generated through the Society of Assisted Reproductive Technology (SART)-initiated United States IVF registry and annual reporting system. DESIGN: Review. SETTING: Eligible studies included those that analyzed data generated by the National IVF data collection program (through SART or Centers for Disease Control and Prevention). PATIENT(S): Not applicable. INTERVENTION(S): Not applicable. MAIN OUTCOME MEASURE(S): Summarize and report outcomes of research using National IVF registry data. RESULT(S): The Society of Assisted Reproductive Technology was founded in 1985 and published the first annual US IVF data report 30 years ago in 1988 in Fertility and Sterility. In 1995, the Centers for Disease Control and Prevention subsequently began collecting data from IVF programs and published their first report in 1997. This annual National IVF data collection and reporting is a significant responsibility and effort for IVF programs. Using these data sources, 199 articles have been published by clinicians and researchers from across the country. This research has guided the development of evidence-based assisted reproductive technology (ART) practice guidelines during the past 30 years, which have ultimately led to improved quality and patient care. CONCLUSION(S): Since the first SART National IVF data report publication 30 years ago, SART has achieved its original goals of creating a national IVF registry that successfully assesses clinical effectiveness, quality of care, and safety.

The Essential Role of GATA6 in the Activation of Estrogen Synthesis in Endometriosis.

Endometriotic stromal cells synthesize estradiol via the steroidogenic pathway. Nuclear receptor subfamily 5, group A, member 1 (NR5A1) is critical, but alone not sufficient, in activating this cascade that involves at least 5 genes. To evaluate whether another transcription factor is required for the activation of this pathway, we examined whether GATA Binding Protein 6 (GATA6) can transform a normal endometrial stromal cell (NoEM) into an endometriotic-like cell by conferring an estrogen-producing phenotype. We ectopically expressed GATA6 alone or with NR5A1 in NoEM or silenced these transcription factors in endometriotic stromal cells (OSIS) and assessed the messenger RNAs or proteins encoded by the genes in the steroidogenic cascade. Functionally, we assessed the effects of GATA6 expression or silencing on estradiol formation. In OSIS, GATA6 was necessary for catalyzing the conversion of progesterone to androstenedione (CYP17A1; P < .05). In NoEM, ectopic expression of GATA6 was essential for converting pregnenolone to estrogen (HSD3B2, CYP17A1, and CYP19A1; P < .05). However, simultaneous ectopic expression of both GATA6 and NR5A1 was required and sufficient to confer induction of all 5 genes and their encoded proteins that convert cholesterol to estrogen. Functionally, only simultaneous knockdown of GATA6 and NR5A1 blocked estradiol formation in OSIS ( P < .05). The presence of both transcription factors was required and sufficient to transform endometrial stromal cells into endometriotic-like cells that produced estradiol in large quantities ( P < .05). In summary, GATA6 alone is essential but not sufficient for estrogen formation in endometriosis. However, simultaneous addition of GATA6 and NR5A1 to an endometrial stromal cell is sufficient to transform it into an endometriotic-like cell, manifested by the activation of the estradiol biosynthetic cascade.

Is employer coverage of elective egg freezing coercive?: a survey of medical students' knowledge, intentions, and attitudes towards elective egg freezing and employer coverage.

PURPOSE: The purpose of this study was to understand medical students' knowledge, intentions, and attitudes towards oocyte cryopreservation and employer coverage of such treatment. METHODS: This cross-sectional study was performed via an online cross-sectional survey distributed to 280 female medical students from March through August 2016. Demographics, attitudes towards employer coverage, and factors influencing decision-making were assessed via a self-reported multiple-choice questionnaire. The relationship between respondents' attitudes towards employer coverage and other parameters was analyzed. RESULTS: A total of 99 responses were obtained out of 280 female medical students. Most respondents (71%) would consider oocyte cryopreservation (potential freezers), although 8% would not consider the procedure and 21% were unsure. Seventy-six percent of respondents felt pressure to delay childbearing. Potential freezers were more likely to be single (p = 0.001), to report feeling pressure to delay childbearing (p = 0.016), and to consider egg freezing if offered by an employer (p < 0.001). Importantly, 71% percent did not view employer coverage as coercive and 77% of respondents would not delay childbearing due to employer coverage. Factors influencing decision-making in potential freezers were absence of a suitable partner (83%), likelihood of success (95%), and health of offspring (94%), among others. Knowledge about the low chance of pregnancy per oocyte (6-10%) would influence decision-making in 42% of potential freezers. CONCLUSION: Oocyte freezing is an acceptable strategy for the majority of young women surveyed. Pressure to delay childbearing was related to openness to freeze eggs. The majority of respondents did not find employer coverage for egg freezing coercive although further research is needed with larger, representative samples to ascertain the relationship between pressure to delay childbearing due to work demands and employer coverage for egg freezing.

Paracrine Pathways in Uterine Leiomyoma Stem Cells Involve Insulinlike Growth Factor 2 and Insulin Receptor A.

Context: Uterine leiomyomas (fibroids) are the most common benign tumors in women. Recently, three populations of leiomyoma cells were discovered on the basis of CD34 and CD49b expression, but molecular differences between these populations remain unknown. Objective: To define differential gene expression and signaling pathways in leiomyoma cell populations. Design: Cells from human leiomyoma tissue were sorted by flow cytometry into three populations: CD34+/CD49b+, CD34+/CD49b-, and CD34-/CD49b-. Microarray gene expression profiling and pathway analysis were performed. To investigate the insulinlike growth factor (IGF) pathway, real-time quantitative polymerase chain reaction, immunoblotting, and 5-ethynyl-2'-deoxyuridine incorporation studies were performed in cells isolated from fresh leiomyoma. Setting: Research laboratory. Patients: Eight African American women. Interventions: None. Main Outcomes Measures: Gene expression patterns, cell proliferation, and differentiation. Results: A total of 1164 genes were differentially expressed in the three leiomyoma cell populations, suggesting a hierarchical differentiation order whereby CD34+/CD49b+ stem cells differentiate to CD34+/CD49b- intermediary cells, which then terminally differentiate to CD34-/CD49b- cells. Pathway analysis revealed differential expression of several IGF signaling pathway genes. IGF2 was overexpressed in CD34+/CD49b- vs CD34-/CD49b- cells (83-fold; P < 0.05). Insulin receptor A (IR-A) expression was higher and IGF1 receptor lower in CD34+/CD49b+ vs CD34-/CD49b- cells (15-fold and 0.35-fold, respectively; P < 0.05). IGF2 significantly increased cell number (1.4-fold; P < 0.001), proliferation indices, and extracellular signal-regulated kinase (ERK) phosphorylation. ERK inhibition decreased IGF2-stimulated cell proliferation. Conclusions: IGF2 and IR-A are important for leiomyoma stem cell proliferation and may represent paracrine signaling between leiomyoma cell types. Therapies targeting the IGF pathway should be investigated for both treatment and prevention of leiomyomas.

Trophoblast Development in the Murine Preimplantation Embryo.

Trophoblast cells of the murine placenta are derived from the trophectoderm (TE) cells of the preimplantation embryo. Establishment of the TE cell lineage is the result of a cell segregation event early in blastomere division. Models of cell lineage segregation suggest it is driven by the internalization of spatial information which induce or inhibit specific signaling pathways. Once segregated, TE cells undergo a differentiation event, resulting in both proliferative and terminally differentiated trophoblast cells. Thus, the development of a healthy, functional placenta relies on the well-choreographed events of trophoblast segregation, proliferation and differentiation. The pre and peri-implantation events that contribute to the development of the four main types of placental trophoblasts are the subject of this review. Identifying the components and promotors of trophoblast development will lead to a more comprehensive understanding of diseases associated with abnormal placentation and recurrent pregnancy loss.

Cellular Models of Trophoblast Differentiation.

Orchestrated trophoblast differentiation is necessary to establish and maintain a normal pregnancy, however the molecular mechanisms that guide this process remain largely unknown. Although early studies of cytotrophoblast differentiation relied on animal models, more recent trophoblast research has involved in vitro models of human tissue. These in vitro models have utilized cultured trophoblast cell lines, primary cell culture, and villous explant cultures-each with its advantages and disadvantages. Traditionally, attempts to develop in vitro models of human placental differentiation have relied on two-dimensional cell culture. Though monolayer culture methods have been refined over time this technique has several limitations, including the inability to study cell-to-cell interactions. Recently, several studies have employed three-dimensional culture methods to overcome many of the limitations of traditional two-dimensional trophoblast culture. These three-dimensional culture systems have an important role in both the study of cytotrophoblast differentiation and development of new therapeutics targeting placenta associated diseases.