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<p>Preeclampsia (PE) and fetal growth restriction (FGR) complicate 5-10% of pregnancies and are major causes of maternal and fetal morbidity and mortality. Here we demonstrate that measuring circulating cell-free RNAs (cfRNAs) from maternal plasma can accurately predict pregnancies complicated by the combination of PE and FGR. We investigated 751 maternal plasma samples from 195 pregnant women (39 cases; 156 non-cases). We developed machine learning models from our discovery cohort (15 cases; 60 non-cases) and evaluated their predictive performances internally (24 cases; 96 controls) and externally (40 cases; 73 non-cases). We found circulating leptin (<i>LEP</i>) and pappalysin2 (<i>PAPPA2</i>) cfRNAs are the strongest cfRNA predictors of complicated pregnancies, each with an area under the receiver operating characteristic curve (AUC) of ~0.82. Using an external validation dataset of women with established PE, the combination of <i>LEP</i> and <i>PAPPA2</i> had an AUC ~0.951. Our findings show that cfRNAs can predict complications of human pregnancy.</p>

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Raised Leptin and Pappalysin2 cell-free RNAs are the hallmarks of pregnancies complicated by preeclampsia with fetal growth restriction

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月18日

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  • Sungsam Gong,
  • Carlo Randise-Hinchliff,
  • Suzanne Rohrback,
  • Jing Yin Weng,
  • Komal Singh,
  • Sarah Shultzaberger,
  • Ulla Sovio,
  • Emma Cook,
  • Fiona Kaper,
  • Gordon C. S. Smith,
  • D. Stephen Charnock-Jones

摘要

Preeclampsia (PE) and fetal growth restriction (FGR) complicate 5-10% of pregnancies and are major causes of maternal and fetal morbidity and mortality. Here we demonstrate that measuring circulating cell-free RNAs (cfRNAs) from maternal plasma can accurately predict pregnancies complicated by the combination of PE and FGR. We investigated 751 maternal plasma samples from 195 pregnant women (39 cases; 156 non-cases). We developed machine learning models from our discovery cohort (15 cases; 60 non-cases) and evaluated their predictive performances internally (24 cases; 96 controls) and externally (40 cases; 73 non-cases). We found circulating leptin (LEP) and pappalysin2 (PAPPA2) cfRNAs are the strongest cfRNA predictors of complicated pregnancies, each with an area under the receiver operating characteristic curve (AUC) of ~0.82. Using an external validation dataset of women with established PE, the combination of LEP and PAPPA2 had an AUC ~0.951. Our findings show that cfRNAs can predict complications of human pregnancy.