ABSTRACT
PURPOSE: Recent studies have identified suggestive prenatal features of RASopathies (e.g., increased nuchal translucency [NT], cystic hygroma [CH], hydrops, effusions, congenital heart diseases [CHD], polyhydramnios, renal anomalies). Our objective is to clarify indications for RASopathy prenatal testing. We compare genotype distributions between pre- and postnatal populations and propose genotype-phenotype correlations. METHODS: Three hundred fifty-two chromosomal microarray-negative cases sent for prenatal RASopathy testing between 2012 and 2019 were collected. For most, 11 RASopathy genes were tested. Postnatal cohorts (25 patients with available prenatal information and 108 institutional database genotypes) and the NSeuroNet database were used for genotypic comparisons. RESULTS: The overall diagnostic yield was 14% (50/352), with rates >20% for effusions, hydrops, and CHD. Diagnostic yield was significantly improved in presence of hypertrophic cardiomyopathy (HCM), persistent or associated CH, any suggestive finding combined with renal anomaly or polyhydramnios, or ≥2 ultrasound findings. Largest prenatal contributors of pathogenic variants were PTPN11 (30%), RIT1 (16%), RAF1 (14%), and HRAS (12%), which considerably differ from their prevalence in postnatal populations. HRAS, LZTR1, and RAF1 variants correlated with hydrops/effusions, and RIT1 with prenatal onset HCM. CONCLUSION: After normal chromosomal microarray, RASopathies should be considered when any ultrasound finding of lymphatic dysplasia or suggestive CHD is found alone or in association.
Subject(s)
Heart Defects, Congenital , Nuchal Translucency Measurement , Cohort Studies , Female , Fetus , Genetic Association Studies , Heart Defects, Congenital/diagnostic imaging , Heart Defects, Congenital/genetics , Humans , Pregnancy , Transcription Factors , Ultrasonography, PrenatalABSTRACT
AIM: Evaluate the relationship between neonatal weight and pregnancy-associated plasma protein-A. METHODS: Retrospective study on 2564 singleton pregnancies with healthy term neonates in three groups of women with different values of pregnancy-associated plasma protein-A who underwent the combined test during the first trimester. Non-parametric test and correlation analysis for statistical elaboration were carried out. RESULTS: There exists a correlation between the serum levels of pregnancy-associated plasma protein-A in the first trimester of pregnancy and neonatal weight. Values of pregnancy-associated plasma protein-A lower than the 25th percentile are associated with neonatal weight in a significant way. There was no significant association between pregnancy-associated plasma protein-A values above 1.50 MoM and neonatal weight. CONCLUSION: This study confirms the positive correlation between circulating concentrations of pregnancy-associated plasma protein-A and fetal growth. Low neonatal weight and factors that can cause this could be determined from the first trimester by measuring the concentrations of pregnancy-associated plasma protein-A in maternal serum. Even if the association between the levels of pregnancy-associated plasma protein-A and a low neonatal weight has been demonstrated, however, we have to say that the sensitivity of a such screening method for the prediction of low birth weight and perinatal complications seems to be rather low. The variations of pregnancy-associated plasma protein-A during the first trimester cannot be used as a marker of excessive fetal growth.
