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August 13, 2026Nursing Research

Accelerated Biological Age as an Early Pregnancy Risk Factor for Preeclampsia

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Overview

Randomized trial identifies biological age and epigenetic markers as predictors of preeclampsia risk in pregnant women, indicating early intervention potential.

Key Points

  • The aim is to identify early pregnancy features linked to preeclampsia, focusing on maternal biological age.
  • Analyzed data from two cohorts: a Midwest cohort and the Prenatal Exposures & Preeclampsia Prevention Project (PEPP3).
  • DNA methylation was quantified from early pregnancy blood samples using established epigenetic clocks.
  • Predictors of preeclampsia were identified using LASSO regression, Random Forest, and logistic regression models with cross-validation.
  • In the Midwest cohort, accelerated biological aging per Hannum's epigenetic clock was a significant predictor of preeclampsia.
  • Both cohorts identified accelerated biological aging and chronological age as predictors, specifically highlighting Hannum's epigenetic clock.
  • These findings suggest accelerated biological aging as a valuable risk biomarker for preeclampsia.

Cite This Study

A 2026 study studied this question.

synapsesocial.com/papers/6a7d75f62b0e0cff3f63ef8bhttps://doi.org/10.1097/nnr.0000000000000937
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Early prediction of preeclampsia among the advanced-age pregnant women: A retrospective multicenter study2026
  2. 2DNA methylation and telomere length in 2–5 year olds with intrauterine preeclampsia exposure: a P4 sub-study2025 · 1 citations
  3. 3A comprehensive first-trimester predictive model for preeclampsia based on multi-indicators and machine learning: A retrospective single-center study2025 · 6 citations
  4. 4Rethinking Risk Prediction in Preeclampsia: From Biomarkers to Mechanistic Phenotypes and Longitudinal Models2026
  5. 5Prediction of Preeclampsia from Clinical and Genetic Risk Factors in Early and Late Pregnancy Using Machine Learning and Polygenic Risk Scores2023 · 5 citations