Evidence map›Paper›PMID 40464837›Full record

ArticleReproductive sciences (Thousand Oaks, Calif.)2025

Predictive Screening for Inflammatory Disorders of Pregnancy Using Targeted Maternal Cell-Free RNA Assays: Proof-of-Principle Data from Large Animal and Human Cohorts.

Sean W D Carter, Qin Wei, Winston Koh, Xiawen Liu, Kay Yi Michelle Seah, Si En Poh, Haruo Usuda, Erin L Fee, Yusaku Kumagai, Tsukasa Takahashi and 8 more

Abstract read
In one paragraph

Article in Reproductive sciences (Thousand Oaks, Calif.), 2025. 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
–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

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

18 authors.

Sean W D CarterDepartment of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road NUHS Tower Block, Level 12, Singapore, 119228, Singapore. e0983544@u.nus.edu.
Qin WeiDepartment of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road NUHS Tower Block, Level 12, Singapore, 119228, Singapore.
Winston KohInstitute of Bioengineering and Bioimaging, Agency for Science, Technology and Research, 31 Biopolis Way, The Nanos, #07-01, Singapore, 138669, Singapore. winston_koh@ibb.a-star.edu.sg.
Xiawen LiuDepartment of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road NUHS Tower Block, Level 12, Singapore, 119228, Singapore.
Kay Yi Michelle SeahDepartment of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road NUHS Tower Block, Level 12, Singapore, 119228, Singapore.
Si En PohInstitute of Bioengineering and Bioimaging, Agency for Science, Technology and Research, 31 Biopolis Way, The Nanos, #07-01, Singapore, 138669, Singapore.
Haruo UsudaWomen and Infants Research Foundation, Perth, WA, Australia.
Erin L FeeWomen and Infants Research Foundation, Perth, WA, Australia.
Yusaku KumagaiDepartment of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road NUHS Tower Block, Level 12, Singapore, 119228, Singapore.
Tsukasa TakahashiCentre for Perinatal and Neonatal Medicine, Tohoku University Hospital, Sendai, Japan.
Lara MonteiroReproductive Biology Program, Center for Biomedical Research and Innovation, Universidad de los Andes, Santiago, Chile.
Reyna PeñaililloReproductive Biology Program, Center for Biomedical Research and Innovation, Universidad de los Andes, Santiago, Chile.
Hannah R S WatsonWomen and Infants Research Foundation, Perth, WA, Australia.
Masatoshi SaitoCentre for Perinatal and Neonatal Medicine, Tohoku University Hospital, Sendai, Japan.
Owen B SpillerDivision of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK.
Mahesh A ChoolaniDepartment of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road NUHS Tower Block, Level 12, Singapore, 119228, Singapore.
Sebastián E IllanesDepartment of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road NUHS Tower Block, Level 12, Singapore, 119228, Singapore.
Matthew W KempDepartment of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road NUHS Tower Block, Level 12, Singapore, 119228, Singapore.ORCID 0000-0002-0869-1710

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management and prevention of key inflammatory-associated pregnancy complications such as chorioamnionitis and pre-eclampsia is hampered by a lack of early gestation risk screening tools. In a proof-of-principle study we used targeted cell-free RNA analyses of maternal plasma samples from large animal (sheep) and human pregnancy cohorts to develop a minimally invasive screening test for inflammatory markers. This study utilised a preterm sheep model of sterile and bacterial chorioamnionitis. Date-mated ewes received either intraamniotic Saline Control (n = 10) or E.Coli LPS (Sterile chorioamnionitis) with 2 days (n = 9) or 8 days exposure(n = 6). Preterm lambs were delivered at 124 ± 1d gestation. Findings were validated in a bacterial model of chorioamnionitis where ewes were exposed to 7 days of intraamniotic M.Hominis with delivery at 98 d gestion(n = 8) or 128d gestation(n = 8). Maternal blood was collected prior to intervention and at delivery in each group. Random Forest algorithm was used to analyse 8 cell-free RNA(cfRNA) targets related to inflammation in maternal plasma at baseline and delivery, identifying genes that separated animals with or without intrauterine inflammation. Plasma cfRNA data was compared to mRNA expression in placental tissue. Haematological and placental mRNA comparisons were analysed with ANOVA/Tukey HSD/Dunnett T3 tests. Maternal plasma cfRNA findings of intrauterine inflammation were then validated in human plasma samples from a cohort of patients with late onset pre-eclampsia (n = 10) or uncomplicated pregnancies (n = 10). We present data showing that targeted maternal cfRNA assays can accurately identify chorioamnionitis of sterile (AUC 1.0) and infectious (AUC 0.84) origin in a sheep model of pregnancy. Findings were then validated in human maternal plasma samples from patients with late-onset pre-eclampsia in the 1st (AUC = 0.85), 2nd (AUC = 0.90) and 3rd (AUC = 0.82) trimesters. In both sheep and human model systems, cfRNA tests offered high levels of sensitivity and specificity in the absence of overt clinical symptoms. We suggest that further development of this technology may serve as a scalable, rapidly deployed and cost-effective means for predicting major inflammatory conditions in pregnancy.

Indexed as

Cell-Free Nucleic AcidsChorioamnionitisInflammationAdultAnimalsBiomarkersCohort StudiesFemaleHumansPredictive Value of TestsPre-EclampsiaPregnancySheepBiomarkersCell-Free Nucleic AcidsAntenatal testsCell-free RNAChorioamnionitis pre-eclampsiaInflammationMinimally invasiveObstetric complicationsPreterm birth

Identifiers

PMID40464837
PMCPMC12271252

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LicenceCC BY
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Registered trials

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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.