High-throughput mRNA-seq atlas of human placenta shows vast transcriptome remodeling from first to third trimester†.

The placenta, composed of chorionic villi, changes dramatically across gestation. Understanding differences in ongoing pregnancies are essential to identify the role of chorionic villi at specific times in gestation and develop biomarkers and prognostic indicators of maternal-fetal health. The normative mRNA profile is established using next-generation sequencing of 124 first trimester and 43 third trimester human placentas from ongoing healthy pregnancies. Stably expressed genes (SEGs) not different between trimesters and with low variability are identified. Differential expression analysis of first versus third trimester adjusted for fetal sex is performed, followed by a subanalysis with 23 matched pregnancies to control for subject variability using the same genetic and environmental background. Placenta expresses 14,979 polyadenylated genes above sequencing noise (transcripts per million > 0.66), with 10.7% SEGs across gestation. Differentially expressed genes (DEGs) account for 86.7% of genes in the full cohort [false discovery rate (FDR) < 0.05]. Fold changes highly correlate between the full cohort and subanalysis (Pearson = 0.98). At stricter thresholds (FDR < 0.001, fold change > 1.5), there remains 50.1% DEGs (3353 upregulated in first and 4155 upregulated in third trimester). This is the largest mRNA atlas of healthy human placenta across gestation, controlling for genetic and environmental factors, demonstrating substantial changes from first to third trimester in chorionic villi. Specific differences and SEGs may be used to understand the specific role of the chorionic villi throughout gestation and develop first trimester biomarkers of placental health that transpire across gestation, which can be used for future development of biomarkers for maternal-fetal health.

High-throughput mRNA-seq atlas of human placenta shows vast transcriptome remodeling from first to third trimester.

Background: The placenta, composed of chorionic villi, changes dramatically across gestation. Understanding differences in ongoing pregnancies are essential to identify the role of chorionic villi at specific times in gestation and develop biomarkers and prognostic indicators of maternal- fetal health. Methods: The normative mRNA profile is established using next-generation sequencing of 124 first trimester and 43 third trimester human placentas from ongoing healthy pregnancies. Stably expressed genes not different between trimesters and with low variability are identified. Differential expression analysis of first versus third trimester adjusted for fetal sex is performed, followed by a subanalysis with 23 matched pregnancies to control for subject variability using the same genetic and environmental background. Results: Placenta expresses 14,979 mRNAs above sequencing noise (TPM>0.66), with 1,545 stably expressed genes across gestation. Differentially expressed genes account for 86.7% of genes in the full cohort (FDR<0.05). Fold changes highly correlate between the full cohort and subanalysis (Pearson = 0.98). At stricter thresholds (FDR<0.001, fold change>1.5), there are 6,941 differentially expressed protein coding genes (3,206 upregulated in first and 3,735 upregulated in third trimester). Conclusion: This is the largest mRNA atlas of healthy human placenta across gestation, controlling for genetic and environmental factors, demonstrating substantial changes from first to third trimester in chorionic villi. Specific differences and stably expressed genes may be used to understand the specific role of the chorionic villi throughout gestation and develop first trimester biomarkers of placental health that transpire across gestation, which can be used for future development of biomarkers in maternal-fetal disease.

Regional Variation in Hormonal and Metabolic Parameters of White and Black Women With PCOS in the United States.

CONTEXT: Ongoing research is needed to determine geo-epidemiologic differences of polycystic ovary syndrome (PCOS). OBJECTIVE: Determine hormonal and metabolic parameters of women with PCOS in 2 environments. METHODS: Prospective cohort study. SETTING: Tertiary-care based specialty clinics in Alabama and California. PATIENTS OR OTHER PARTICIPANTS: A total of 1610 women with PCOS by National Institutes of Health Criteria from 1987 to 2010. INTERVENTIONS: Interview, physical examination, laboratory studies. MAIN OUTCOMES MEASURES: Demographic data, menstrual cycle history, and hormonal and metabolic parameters were collected. Hirsutism was defined as modified Ferriman-Gallwey scores ≥4. Androgen values greater than laboratory reference ranges or >95th percentile of all values were considered elevated (hyperandrogenemia). Metabolic parameters included body mass index (BMI), waist-hip-ratio (WHR), glucose tolerance test, and homeostatic model assessment for insulin resistance (HOMA-IR) scores. RESULTS: Alabama women with PCOS were younger with a higher BMI. After adjustment for age and BMI, Alabama women with PCOS were more likely hirsute (adjusted odds ratio [aOR], 1.8; 95% CI, 1.4-2.4; P < 0.001), with elevated HOMA-IR scores (adjusted beta coefficient 3.6; 95% CI, 1.61-5.5; P < 0.001). California women with PCOS were more likely to have hyperandrogenemia (free testosterone aOR, 0.14; 95% CI, 0.11-0.18; P < 0.001; total testosterone aOR, 0.41; 95% CI, 0.33-0.51). Results were similar when stratified by White race. In Black women with PCOS, BMI and WHR did not differ between locations, yet differences in androgen profiles and metabolic dysfunction remained. CONCLUSION: Alabama women with PCOS, regardless of Black or White race, were more likely hirsute with metabolic dysfunction, whereas California women with PCOS were more likely to demonstrate hyperandrogenemia, highlighting potential environmental impacts on PCOS.

Ovarian volume as an independent marker for metabolic dysfunction in women with suspected androgen excess.

Objective: To determine whether ovarian volume (OV) alone is an independent marker for metabolic dysfunction in women with suspected androgen excess. Design: Retrospective cohort study. Setting: Tertiary academic reproductive endocrinology clinic. Patients: Women aged ≥21 years recruited/referred for symptoms related to androgen excess. Interventions: Transvaginal ovarian ultrasound, physical and medical evaluation, 2-hour 75-g oral glucose tolerance test (oGTT), and blood sampling. Main Outcome Measures: Prevalence of hyperandrogenism and metabolic dysfunction. Results: This study included 666 women, of whom 412 (61.9%) and 254 had OVs of >10 and ≤10 mL, respectively. An OV of >10 mL was associated with a higher prevalence of hirsutism (65.1% vs. 51.5%) than an OV of ≤10 mL. Polycystic ovary syndrome by the National Institutes of Health 1990 criteria was found in 67.3% and 51.4% of women with OVs of >10 and ≤10 mL, respectively. Metabolic parameters, including body mass index, waist circumference, and 1-hour insulin levels during the oGTT (odds ratio, 1.98; 95% confidence interval, 1.18-3.31), were significantly higher in women with an OV of >10 mL than in those with an OV of ≤10 mL. An OV of ≤10 mL had a 76.3% negative predictive value for hyperinsulinemia at 1 hour. Conclusions: In women with suspected androgen excess, an OV of >10 mL in at least 1 ovary is not associated with metabolic syndrome but is associated with younger age; an increased body mass index and waist circumference; a higher prevalence of hirsutism, oligoovulation, and polycystic ovary syndrome; and a higher 60-minute insulin level during the oGTT. Overall, an increased OV appears to be a good marker for hyperinsulinemia and hyperandrogenism in women suspected of having an androgen excess disorder.

Clinical utility of the endometrial receptivity analysis in women with prior failed transfers.

PURPOSE: To determine the utility of the endometrial receptivity analysis (ERA) in women with prior failed embryo transfers (ET). METHODS: This was a retrospective study of patients who underwent an ERA test with a subsequent frozen ET. Women were classified based on their indication for an ERA test: (1) ≥ 1 prior failed ET (cases), or (2) as a prophylactic measure (controls). A subset analysis of women with ≥ 3 prior failed transfers was performed. Pregnancy outcomes of the subsequent cycle were examined, including conception, clinical pregnancy, and ongoing pregnancy/live birth. RESULTS: A total of 222 women were included, 131 (59%) women with ≥ 1 prior failed ET and 91 (41%) controls. Among the 131 women with ≥ 1 prior failed ET, 20 women (9%) had ≥ 3 prior failed ETs. The proportion of non-receptive ERA tests in the three groups were the following: 45% (≥ 1 prior failed ET), 40% (≥ 3 prior failed ETs), and 52% (controls). The results did not differ between cases and controls. The pregnancy outcomes did not differ between women with ≥ 1 prior failed ET and controls. In women with ≥ 3 prior failed ETs, there was a lower ongoing pregnancy/live birth rate (28% vs 54%, P = 0.046). CONCLUSION: Women with ≥ 1 prior failed ET and ≥ 3 prior failed ETs had a similar prevalence of non-receptive endometrium compared to controls. Women with ≥ 3 prior failed ETs had a lower ongoing pregnancy/live birth rate despite a personalized FET, suggesting that there are additional factors in implantation failure beyond an adjustment in progesterone exposure.