Implementation of maternal blood cell-free DNA testing in early screening for aneuploidies.

Several externally blinded validation and implementation studies in the last 9 years have shown that it is now possible, through analysis of cell-free (cf) DNA in maternal blood, to effectively detect a high proportion of fetuses affected by trisomies 21, 18, and 13 at a much lower false-positive rate (FPR) than all other existing screening methods. This article is aimed at reviewing technical and clinical considerations for implementing cfDNA testing in routine practice, including methods of analysis, performance of the test, models for clinical implementation, and interpretation of results.post-print305 K

Intelligent Noninvasive Diagnosis of Aneuploidy:Raw Values and Highly Imbalanced Dataset

The objective of this paper is to introduce a noninvasive diagnosis procedure for aneuploidy and to minimize the social and financial cost of prenatal diagnosis tests that are performed for fetal aneuploidies in an early stage of pregnancy. We propose a method by using artificial neural networks trained with data from singleton pregnancy cases, while undergoing first trimester screening. Three different datasets' with a total of 122 362 euploid and 967 aneuploid cases were used in this study. The data for each case contained markers collected from the mother and the fetus. This study, unlike previous studies published by the authors for a similar problem differs in three basic principles: 1) the training of the artificial neural networks is done by using the markers' values in their raw form (unprocessed), 2) a balanced training dataset is created and used by selecting only a representative number of euploids for the training phase, and 3) emphasis is given to the financials and suggest hierarchy and necessity of the available tests. The proposed artificial neural networks models were optimized in the sense of reaching a minimum false positive rate and at the same time securing a 100% detection rate for Trisomy 21. These systems correctly identify other aneuploidies (Trisomies 13&18, Turner, and Triploid syndromes) at a detection rate greater than 80%. In conclusion, we demonstrate that artificial neural network systems can contribute in providing noninvasive, effective early screening for fetal aneuploidies with results that compare favorably to other existing methods

Maternal serum concentrations of pregnancy associated placental protein A and pregnancy specific β-1-glycoprotein in multifetal pregnancies before and after fetal reduction

Placental function in multifetal pregnancies before and after embryo reduction was investigated by measuring maternal serum concentrations of pregnancy associated placental protein-A (PAPP-A) and pregnancy specific β-1-glycoprotein (SP-1). Three groups of pregnant women were studied following assisted reproduction; groups 1 and 2, were 12 singleton and 12 twin pregnancies respectively, and group 3 comprised 12 women with multifetal pregnancies undergoing embryo reduction. PAPP-A and SP-1 were measured serially at 8-21 weeks gestation. In all pregnancies, maternal serum PAPP-A and SP-1 increased with gestation. In twin pregnancies the mean concentrations of SP-1 were significantly higher than in singletons at all gestations, whereas for PAPP-A, concentrations were similar between these groups. In multifetal pregnancies before embryo reduction, the serum concentrations of both proteins were significantly higher than in twin pregnancies. Following reduction, the concentrations of PAPP-A remained significantly higher than for twins throughout, whereas the concentrations of SP-1 gradually converged towards those of twins; by 19 weeks there was no difference between the means of the two groups. These findings suggest that circulating concentrations of SP-1 reflect total placenta mass, which is proportional to the number of live fetuses, whereas the pattern of PAPP-A changes suggests that this protein is produced by the placenta, decidua and other tissue

First-trimester screening for trisomies by cfDNA testing of maternal blood in singleton and twin pregnancies: factors affecting test failure.

Objectives: To examine factors affecting the failure rate to obtain a result from (cf) DNA testing of maternal blood for fetal trisomies 21, 18 and 13 in singleton and twin pregnancies in the first trimester of pregnancy. Methods: This was a prospective study in 23,495 singleton and 928 twin pregnancies undergoing screening for fetal trisomies by targeted cfDNA testing at 10+0-14+1 weeks’ gestation. Multivariate regression analysis was used to determine significant predictors of failure to obtain a result after first sampling. Results: There was no result from cfDNA testing after first sampling in 3.4% (798/23,495) of singletons, 11.3% (91/806) of DC twins and in 4.9% (6/122) of MC twins. Multivariate logistic regression analysis demonstrated that the risk of test failure first, increased with increasing maternal age (odds ratio (OR) 1.02; 95% confidence interval (CI) 1.01, 1.04) and weight (OR 1.05; 95% CI 1.04, 1.05), decreasing gestational age (OR 0.85; 95% CI 0.79, 0.91) and serum PAPP-A (OR 0.56; 95% CI 0.49, 0.64) and free ß-hCG (OR 0.67; 95% CI 0.60, 0.74), second, was higher in women of Black (OR 1.72; 95% CI 1.33, 2.20) and South Asian (OR 1.99; 95% CI 1.56, 2.52) than White racial origin, in dichorionic twin (OR 1.75; 95% CI 1.34, 2.25) than singleton pregnancy and in in vitro fertilization (OR 3.82; 95% CI 3.19, 4.55) than natural conception and third, was lower in parous (OR 0.63; 95% CI 0.55, 0.74) than nulliparous women. Conclusions: Maternal age, weight, racial origin and parity, gestational age, dichorionicity, method of conception and serum levels of free ß-hCG and PAPP-A are independent predictors of cfDNA test failure. The risk of test failure is higher in dichorionic twin than in singleton pregnancies, mainly because a higher proportion of twins are conceived by in vitro fertilization and more of the women are nulliparous.pre-print429 K

First Trimester Noninvasive Prenatal Diagnosis:A Computational Intelligence Approach

The objective of this study is to examine the potential value of using machine learning techniques such as artificial neural network (ANN) schemes for the noninvasive estimation, at 11-13 weeks of gestation, the risk for euploidy, trisomy 21 (T21), and other chromosomal aneuploidies (O.C.A.), from suitable sonographic, biochemical markers, and other relevant data. A database(1) consisted of 51,208 singleton pregnancy cases, while undergoing first trimester screening for aneuploidies has been used for the building, training, and verification of the proposed method. From all the data collected for each case from the mother and the fetus, the following 9 are considered by the collaborating obstetricians as the most relevant to the problem in question: maternal age, previous pregnancy with T21, fetal crown-rump length, serum free beta-hCG in multiples of the median (MoM), pregnancy-associated plasma protein-A in MoM, nuchal translucency thickness, nasal bone, tricuspid flow, and ductus venosus flow. The dataset was randomly divided into a training set that was used to guide the development of various ANN schemes, support vector machines, and k-nearest neighbor models. An evaluation set used to determine the performance of the developed systems. The evaluation set, totally unknown to the proposed system, contained 16,898 cases of euploidy fetuses, 129 cases of T21, and 76 cases of O.C.A. The best results were obtained by the ANN system, which identified correctly all T21 cases, i.e., 0% false negative rate (FNR) and 96.1% of euploidies, i.e., 3.9% false positive rate (FPR), meaning that no child would have been born with T21 if only that 3.9% of all pregnancies had been sent for invasive testing. The aim of this work is to produce a practical tool for the obstetrician which will ideally provide 0% FNR and to recommend the minimum possible number of cases for further testing such as invasive. In conclusion, it was demonstrated that ANN schemes can provide an effective early screening for fetal aneuploidies at a low FPR with results that compare favorably to those of existing systems

Glucose metabolism in pregnancy at high altitude

WSTĘP. Celem badania była ocena wrażliwości na insulinę oraz funkcji komórek b związanych z niższą glikemią na czczo u kobiet ciężarnych przebywających na dużych wysokościach w porównaniu z ciężarnymi mieszkającymi na poziomie morza. MATERIAŁ I METODY. W badaniu uczestniczyło 215 kobiet w 8-42 tygodniu ciąży, mieszkających w Peru. Rekrutację przeprowadzono w miejscowościach Cerro de Pasco, która znajduje się 4370 m (14 340 stóp) nad poziomem morza, oraz w Limie, leżącej na wysokości poziomu morza. Grupę kontrolną stanowiły 53 kobiety, które nie były w ciąży (22 w Cerro de Pasco i 31 w Limie). Glikemię, insulinemię oraz stężenie C-peptydu i proinsuliny na czczo zmierzono w próbkach krwi uzyskanych z żyły odłokciowej w godzinach 8.00–10.00, wcześniej pacjentki nie przyjmowały pokarmów przez 10–14 godzin. Insulinooporność oraz funkcje komórek b obliczono z zastosowaniem modelu oceny homeostazy. WYNIKI. Stężenie C-peptydu na czczo oraz funkcja komórek b były podobne, stężenie insuliny oraz proinsuliny na czczo były niższe, natomiast insulinooporność była wyższa u kobiet przebywających na większej wysokości. WNIOSKI. Niższa glikemia na czczo u kobiet ciężarnych przebywających na obszarach położonych wyżej w porównaniu z ciężarnymi zamieszkującymi na poziomie morza przy podobnym wydzielaniu insuliny wiąże się z większą obwodową wrażliwością na insulinę. Zjawisko to może częściowo tłumaczyć niższą masę urodzeniową dzieci matek z obszarów położonych wysoko nad poziomem morza.OBJECTIVE. To assess insulin sensitivity and b-cell function associated with lower maternal fasting plasma glucose levels at high altitude compared with sea level. RESEARCH DESIGN AND METHODS. We studied 215 pregnant women at 8–42 weeks of gestation in Peru. The women were recruited from Cerro de Pasco, which is situated 4,370 m (14,340 feet) above sea level, and Lima, which is at sea level. We also examined 53 nonpregnant control subjects (22 in Cerro de Pasco and 31 in Lima). Fasting plasma glucose, insulin, C-peptide, and proinsulin concentrations were measured in samples obtained from the antecubital vein between 8:00 A.M. and 10:00 A.M. after an overnight period of fasting for 10–14 h. Insulin resistance and b-cell function were calculated using homeostasis model assessment. RESULTS. Fasting C-peptide levels and b-cell function were similar, fasting concentrations of insulin and proinsulin were lower, and insulin sensitivity was higher at high altitude compared with sea level. CONCLUSIONS. Maternal fasting plasma glucose that is lower at high altitude than at sea level in the presence of similar insulin secretion is associated with higher peripheral insulin sensitivity. This may partly explain the lower birth weights at high altitudes

Regulatory T cells in the peripheral blood of women with gestational diabetes: a systematic review and meta-analysis

BackgroundGestational diabetes (GDM) affects approximately 14% of pregnancies globally and is associated with short- and long-term complications for both the mother and child. In addition, GDM has been linked to chronic low-grade inflammation with recent research indicating a potential immune dysregulation in pathophysiology and a disparity in regulatory T cells.ObjectiveThis systematic review and meta-analysis aimed to determine whether there is an association between GDM and the level of Tregs in the peripheral blood.MethodsLiterature searches were conducted in PubMed, Embase, and Ovid between the 7th and 14th of February 2022. The inclusion criteria were any original studies published in the English language, measuring differentiated Tregs in women with GDM compared with glucose-tolerant pregnant women. Meta-analysis was performed between comparable Treg markers. Statistical tests were used to quantify heterogeneity: τ2, χ2, and I2. Study quality was assessed using a modified version of the Newcastle-Ottawa scale.ResultsThe search yielded 223 results: eight studies were included in the review and seven in the meta-analysis (GDM = 228, control = 286). Analysis of Tregs across all trimesters showed significantly lower Treg numbers in women with GDM (SMD, −0.76; 95% CI, −1.37, −0.15; I2 = 90%). This was reflected in the analysis by specific Treg markers (SMD −0.55; 95% CI, −1.04, −0.07; I2 = 83%; third trimester, five studies). Non-significant differences were found within subgroups (differentiated by CD4+FoxP3+, CD4+CD127−, and CD4+CD127−FoxP3) of both analyses.ConclusionGDM is associated with lower Treg numbers in the peripheral maternal blood. In early pregnancy, there is clinical potential to use Treg levels as a predictive tool for the subsequent development of GDM. There is also a potential therapeutic intervention to prevent the development of GDM by increasing Treg populations. However, the precise mechanism by which Tregs mediate GDM remains unclear.Systematic review registrationhttps://www.crd.york.ac.uk/prospero, identifier CRD42022309796

Screening for trisomies by cfDNA testing of maternal blood in twin pregnancy: update of the Fetal Medicine Foundation results and meta-analysis.

Objective: To report on the routine clinical implementation of cell-free (cf)DNA analysis of maternal blood for trisomies 21, 18 and 13 in twin pregnancies and to define the performance of the test by combining our results with those arising from systematic review of the literature. Methods: The data for the study were derived from prospective screening for trisomies 21, 18 and 13 in twin pregnancies at 10+0-14+1 weeks’ gestation. Two populations were included; first self-referred women to the Fetal Medicine Centre in London or Brugmann University Hospital in Brussels and second, women selected for the cfDNA test after routine first-trimester combined testing in one of two National Health Service hospitals in England. This dataset was used to determine the performance of screening for the three trisomies. Search of Medline, Embase, CENTRAL (The Cochrane Library), ClinicalTrials.gov and ICTRP (World Health Organization) was carried out to identify all peer-reviewed publications on clinical validation or implementation of maternal cfDNA testing for trisomies 21, 18 and 13 in twin pregnancies. Meta-analysis was then performed using our data and data from the studies identified by the literature search. Results: In our dataset of 997 twin pregnancies with a cfDNA result and known outcome, the test classified correctly 16 (94.1%) of the 17 cases of trisomy 21, 9 (90.0%) of 10 of trisomy 18, 1 (50.0%) of 2 of trisomy 13 and 963 (99.5%) of 968 cases without any of the three trisomies. The literature search identified 7 relevant studies, excluding our papers because their data are included in the current study. In the combined total of our study and the 7 studies identified by the literature search there were 56 trisomy 21 and 3,718 non-trisomy 21 twin pregnancies; the pooled weighted detection rate (DR) and false positive rate (FPR) were 98.2% (95% CI 83.2, 99.8%) and 0.05% (95% CI 0.01, 0.26%), respectively. In the combined total of 18 cases of trisomy 18 and 3,143 non-trisomy 18 pregnancies the pooled weighted DR and FPR were 88.9% (95% CI 64.8, 97.2%) and 0.03% (95% CI 0.00, 0.33%), respectively. For trisomy 13, there were only 3 affected cases and 2 (66.7%) of these were detected by the cfDNA test at FPR of 0.19% (5/2,569). Conclusions: Performance of cfDNA testing for trisomies 21 in twin pregnancies is similar to that reported for singleton pregnancies. The number of cases of trisomies 18 and 13 is too small for accurate assessment of predictive performance of the cfDNA test.pre-print445 K