Publications by authors named "Sierra S Niemiec"
Introduction: Amino acids (AAs) serve diverse roles, and insufficient delivery is associated with worse outcomes in ill patients. In the case of congenital heart disease (CHD) surgery with cardiopulmonary bypass (CPB), AA levels are often dysregulated. Changes at the individual AA level, impact of clinical factors, and association with outcomes are less understood.
View Article and Find Full Text PDFAssess if cord blood differentially methylated regions (DMRs) representing human metastable epialleles (MEs) associate with offspring adiposity in 588 maternal-infant dyads from the Colorado Health Start Study. DNA methylation was assessed via the Illumina 450K array (~439,500 CpG sites). Offspring adiposity was obtained via air displacement plethysmography.
View Article and Find Full Text PDFArticle Synopsis
- Researchers studied the link between 'epigenetic clocks' (which estimate biological age based on DNA methylation) and childhood behavior using data from four U.S. cohorts.
- The analysis found no significant correlation between epigenetic age acceleration at birth and preschool age behavioral issues as measured by the Childhood Behavior Checklist (CBCL).
- The findings suggest that epigenetic age may not influence emotional and behavioral functioning in young children, particularly in populations with a high incidence of autism spectrum disorder (ASD) and preterm births; more research is needed to explore this in different child health contexts.
Background: Per- and polyfluoroalkyl substances (PFAS) are ubiquitous, environmentally persistent chemicals, and prenatal exposures have been associated with adverse child health outcomes. Prenatal PFAS exposure may lead to epigenetic age acceleration (EAA), defined as the discrepancy between an individual's chronologic and epigenetic or biological age.
Objectives: We estimated associations of maternal serum PFAS concentrations with EAA in umbilical cord blood DNA methylation using linear regression, and a multivariable exposure-response function of the PFAS mixture using Bayesian kernel machine regression.