Evidence map›Paper›PMID 40722151›Full record

ArticleBMC medicine2025

Maternal plasma cell-free RNA as a predictive test for fetal lung maturation.

Sean W D Carter, Kay Yi Michelle Seah, Si En Poh, Winston Koh, Haruo Usuda, Erin L Johnson, Yusaku Kumagai, Tsukasa Takahashi, Lara J Monteiro, Reyna Peñailillo and 6 more

Abstract read
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

16 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.
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, Singapore, #07-01138669, Singapore.
Winston KohInstitute of Bioengineering and Bioimaging, Agency for Science, Technology and Research, 31 Biopolis Way, The Nanos, Singapore, #07-01138669, Singapore. winston_koh@ibb.a-star.edu.sg.
Haruo UsudaDivision of Obstetrics and Gynaecology, University of Western Australia, Perth, Australia.
Erin L JohnsonDivision of Obstetrics and Gynaecology, University of Western Australia, Perth, 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 TakahashiDivision of Obstetrics and Gynaecology, University of Western Australia, Perth, Australia.
Lara J 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.
Gino NardocciIMPACT, Center of Interventional Medicine for Precision and Advanced Cellular Therapy, Santiago, Chile.
Hannah R S WatsonDivision of Obstetrics and Gynaecology, University of Western Australia, Perth, Australia.
Masatoshi SaitoCentre for Perinatal and Neonatal Medicine, Tohoku University Hospital, Sendai, Japan.
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.

Funding

Ministry of Education, Government of Singapore NUHSRO/2021/109/T1/Seed-Sep/02)RANZCOG Research Foundation Fotheringham Research Fellowship
6 · The paper itself

Abstract

backgroundA lack of tests to assess fetal development impacts decision making around antenatal steroid use in women at risk of preterm birth. We analyzed the expression of 21 cfRNA targets related to human fetal lung maturation. Discovery studies were performed using maternal and fetal sheep plasma, with results compared to fetal lung mRNA expression. These findings were then validated in first, second, and third trimester human maternal plasma samples.

methodsDiscovery studies utilized a preterm sheep model of pregnancy. Date mated ewes received saline (control n = 6), or antenatal steroids (dexamethasone n = 12) (betamethasone n = 11) prior to delivery and ventilation. We analyzed the expression of 21 human cfRNA targets related to lung maturation in maternal and fetal sheep plasma and compared this to mRNA expression in fetal lung tissue. Findings were first validated in a separate cohort of sheep exposed to betamethasone (n = 8), intraamniotic LPS endotoxin for lung maturation (n = 6), or untreated term animals (n = 6). Findings were further validated in maternal plasma from a human cohort of uncomplicated term pregnancies (n = 10). Delivery and ventilation data were analyzed with ANOVA, Tukey HSD, and Dunnett T3 tests. A Random Forest algorithm identified genes that separated mature from immature fetal lung subgroups and determined AUC values for maternal and fetal cell-free RNA (cfRNA) feature sets to predict fetal lung maturation.

resultsWe demonstrate that the analysis of 21 human cfRNA targets in maternal plasma is highly predictive of fetal lung maturation status across antenatal steroid induced (Dexamethasone AUC = 0.93; Betamethasone AUC = 1) and physiological (AUC = 1) lung development models. Maternal plasma cfRNA expression in the dexamethasone antenatal steroid group closely resembled direct fetal lung tissue mRNA expression. These findings were then validated in human maternal plasma samples (1st vs. 3rd trimester AUC = 0.96; 2nd vs. 3rd trimester AUC = 1).

conclusionsFurther development of this technology may provide a rapid, minimally invasive, and cost-effective clinical tool to optimize patient selection for initial and repeat courses of antenatal steroids, along with insights into the molecular mechanisms underlying fetal lung development.

Indexed as

Cell-Free Nucleic AcidsFetal Organ MaturityLungAdultAnimalsBetamethasoneDexamethasoneFemaleHumansPregnancyRNA, MessengerSheepBetamethasoneCell-Free Nucleic AcidsDexamethasoneRNA, MessengerAntenatal corticosteroidsCell-free RNAGene expressionLung maturationMinimally invasivePredictive testPreterm birth

Identifiers

PMID40722151
PMCPMC12305955

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.