ArticleToxicological sciences : an official journal of the Society of Toxicology2021
Comparing the Predictivity of Human Placental Gene, microRNA, and CpG Methylation Signatures in Relation to Perinatal Outcomes.
Article in Toxicological sciences : an official journal of the Society of Toxicology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed, 17 citations in OpenAlex.
- Genetics and Stillbirth.Clinics in perinatology · 2026Review
- Epigenetic mechanisms linking the perinatal environment, the placenta, and maternal and child health outcomes: evidence for sexual dimorphism.Environmental epigenetics · 2026Article
- Predicting arsenic and manganese contamination in private well water with Machine Learning: An integrated analysis of geologic, well construction, and permitting data.The Science of the total environment · 2025Article
- Profiling the cell-specific small non-coding RNA transcriptome of the human placenta.Scientific reports · 2025Article
- Placental Epigenome Impacts Fetal Development: Effects of Maternal Nutrients and Gut Microbiota.Nutrients · 2024Review
- Epigenetic Responses to Nonchemical Stressors: Potential Molecular Links to Perinatal Health Outcomes.Current environmental health reports · 2024Review
- Plasma sterols and vitamin D are correlates and predictors of ozone-induced inflammation in the lung: A pilot study.PloS one · 2023Article
- Leveraging the placenta to advance neonatal care.Frontiers in pediatrics · 2023Review
- Environmental mixtures and breast cancer: identifying co-exposure patterns between understudied vs breast cancer-associated chemicals using chemical inventory informatics.Journal of exposure science & environmental epidemiology · 2022Article
- Wildfires and extracellular vesicles: Exosomal MicroRNAs as mediators of cross-tissue cardiopulmonary responses to biomass smoke.Environment international · 2022Article
- Approaches to incorporate extracellular vesicles into exposure science, toxicology, and public health research.Journal of exposure science & environmental epidemiology · 2022Review
- The Placental Epigenome as a Molecular Link Between Prenatal Exposures and Fetal Health Outcomes Through the DOHaD Hypothesis.Current environmental health reports · 2022Review
- The placenta epigenome-brain axis: placental epigenomic and transcriptomic responses that preprogram cognitive impairment.Epigenomics · 2022Article
- Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research.Frontiers in toxicology · 2022Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
Molecular signatures are being increasingly integrated into predictive biology applications. However, there are limited studies comparing the overall predictivity of transcriptomic versus epigenomic signatures in relation to perinatal outcomes. This study set out to evaluate mRNA and microRNA (miRNA) expression and cytosine-guanine dinucleotide (CpG) methylation signatures in human placental tissues and relate these to perinatal outcomes known to influence maternal/fetal health; namely, birth weight, placenta weight, placental damage, and placental inflammation. The following hypotheses were tested: (1) different molecular signatures will demonstrate varying levels of predictivity towards perinatal outcomes, and (2) these signatures will show disruptions from an example exposure (ie, cadmium) known to elicit perinatal toxicity. Multi-omic placental profiles from 390 infants in the Extremely Low Gestational Age Newborns cohort were used to develop molecular signatures that predict each perinatal outcome. Epigenomic signatures (ie, miRNA and CpG methylation) consistently demonstrated the highest levels of predictivity, with model performance metrics including R2 (predicted vs observed) values of 0.36-0.57 for continuous outcomes and balanced accuracy values of 0.49-0.77 for categorical outcomes. Top-ranking predictors included miRNAs involved in injury and inflammation. To demonstrate the utility of these predictive signatures in screening of potentially harmful exogenous insults, top-ranking miRNA predictors were analyzed in a separate pregnancy cohort and related to cadmium. Key predictive miRNAs demonstrated altered expression in association with cadmium exposure, including miR-210, known to impact placental cell growth, blood vessel development, and fetal weight. These findings inform future predictive biology applications, where additional benefit will be gained by including epigenetic markers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.