Evidence map›Paper›PMID 42039695›Full record

ArticleEnvironmental epigenetics2026

Epigenetic mechanisms linking the perinatal environment, the placenta, and maternal and child health outcomes: evidence for sexual dimorphism.

Hadley J Hartwell, Rebecca C Fry

Abstract read
In one paragraph

Article in Environmental epigenetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Hadley J HartwellDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, United States.
Rebecca C FryDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, United States.ORCID https://orcid.org/0000-0003-0899-9018

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to adverse environments early in life can shape health trajectories across the lifespan. A key mechanism by which this life-long reprogramming occurs is via epigenetic modifications, including altered DNA methylation (DNAm), histone modifications, and microRNA (miRNA) regulation. This invited perspective highlights key human population studies and selected animal studies from our group and collaborators that have examined toxicant exposure occurring during or prior to pregnancy including metals, pharmaceuticals, microorganisms, air pollution, and socioeconomic stressors and their impact on the epigenome. Exposure to these substances is associated with altered epigenetic patterning in fetal blood and placenta, often in a gene- and sex-specific manner. This gene specificity may be tied to the transcription factor occupancy, where environmental exposures alter transcription factor binding at regulatory regions, influencing downstream epigenetic patterns. In relation to adverse health outcomes, these epigenetic modifications have been associated with adverse pregnancy outcomes such as preeclampsia as well as neonatal health (i.e. preterm birth, retinopathy of prematurity, chronic lung disease, and congenital heart defects). Additionally, these epigenetic alterations have been associated with outcomes later in childhood, including cognition, neurodevelopmental disorders [e.g. autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD)], obesity, metabolic dysregulation, asthma, and immune dysfunction. Collectively, these studies highlight the relationships among early-life environmental factors, epigenetic biomarkers, and maternal and child health outcomes.

Indexed as

Developmental Origins of Health and Disease (DOHaD)environmental exposuresepigeneticsmaternal-child healthplacenta

Identifiers

PMID42039695
PMCPMC13107966

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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.