Evidence map›Paper›PMID 40681537›Full record

ArticleNature communications2025

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

Sungsam Gong, Carlo Randise-Hinchliff, Suzanne Rohrback, Jing Yin Weng, Komal Singh, Sarah Shultzaberger, Ulla Sovio, Emma Cook, Fiona Kaper, Gordon C S Smith and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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

11 authors.

Sungsam GongDepartment of Obstetrics and Gynaecology, University of Cambridge; NIHR Cambridge Biomedical Research Centre, Cambridge, UK.ORCID http://orcid.org/0000-0001-5796-4423
Carlo Randise-HinchliffIllumina Inc., San Diego, CA, USA.
Suzanne RohrbackIllumina Inc., San Diego, CA, USA.
Jing Yin WengIllumina Inc., Foster City, CA, USA.
Komal SinghIllumina Inc., Foster City, CA, USA.
Sarah ShultzabergerIllumina Inc., San Diego, CA, USA.ORCID http://orcid.org/0000-0003-2181-0793
Ulla SovioDepartment of Obstetrics and Gynaecology, University of Cambridge; NIHR Cambridge Biomedical Research Centre, Cambridge, UK.ORCID http://orcid.org/0000-0002-0799-1105
Emma CookDepartment of Obstetrics and Gynaecology, University of Cambridge; NIHR Cambridge Biomedical Research Centre, Cambridge, UK.ORCID http://orcid.org/0000-0002-6142-4443
Fiona Kaper *Illumina Inc., San Diego, CA, USA.
Gordon C S Smith *Department of Obstetrics and Gynaecology, University of Cambridge; NIHR Cambridge Biomedical Research Centre, Cambridge, UK.ORCID http://orcid.org/0000-0003-2124-0997
D Stephen Charnock-Jones *Department of Obstetrics and Gynaecology, University of Cambridge; NIHR Cambridge Biomedical Research Centre, Cambridge, UK. dscj1@cam.ac.uk.ORCID http://orcid.org/0000-0002-2936-4890

Funding

DH | National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre (Women's Health theme)RCUK | Medical Research Council (MRC) G1100221RCUK | Medical Research Council (MRC) MR/K021133/1
6 · The paper itself

Abstract

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.

Indexed as

Cell-Free Nucleic AcidsFetal Growth RetardationLeptinPre-EclampsiaProteoglycansAdultBiomarkersCase-Control StudiesFemaleHumansMachine LearningPregnancyPregnancy-Associated Plasma Protein-AROC CurveBiomarkersCell-Free Nucleic AcidsLEP protein, humanLeptinPAPPA2 protein, humanPregnancy-Associated Plasma Protein-AProteoglycans

Identifiers

PMID40681537
PMCPMC12274584

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.