Evidence map›Paper›PMID 41226568›Full record

ArticleInternational journal of molecular sciences2025

Investigation of Novel Predictive Biomarkers for Preeclampsia in Second-Trimester Amniotic Fluid.

Hyo Eun Lee, Yeonseong Jeong, Jue Young Kim, Ha-Yeon Shin, Young-Han Kim, Min-A Kim

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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

6 authors.

Hyo Eun LeeThe Graduate School, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
Yeonseong JeongDepartment of Obstetrics and Gynecology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Republic of Korea.ORCID 0000-0002-9978-6212
Jue Young KimDepartment of Obstetrics and Gynecology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Republic of Korea.ORCID 0000-0001-8456-1101
Ha-Yeon ShinDepartment of Obstetrics and Gynecology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Republic of Korea.ORCID 0000-0001-6735-1700
Young-Han KimDepartment of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Republic of Korea.
Min-A KimDepartment of Obstetrics and Gynecology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Republic of Korea.ORCID 0000-0002-6199-2010

Funding

Ministry of Science and ICT RS-2024-00355233Yonsei University College of Medicine 6-2020-0194
6 · The paper itself

Abstract

Preeclampsia (PE) is a major cause of maternal and perinatal morbidity, and early prediction is critical for timely intervention. This study aimed to identify predictive biomarkers for PE through transcriptomic analysis of second-trimester amniotic fluid supernatant (AFS) collected prior to clinical symptom onset. AFS samples from women who later developed PE (n = 7) and matched controls (n = 7) underwent RNA sequencing to identify differentially expressed genes (DEGs). Candidate genes were validated by real-time PCR in HTR-8/SVneo cells exposed to fluid shear stress at 3, 10, and 20 dyn/cm

Indexed as

Amniotic FluidBiomarkersPre-EclampsiaPregnancy Trimester, SecondAdultCase-Control StudiesCell LineCell MovementFemaleGene Expression ProfilingHumansPregnancyTranscriptomeTrophoblastsBiomarkersamniotic fluidpredictive markerspreeclampsiasequencing analysis

Identifiers

PMID41226568
PMCPMC12609151

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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.