Evidence map›Paper›PMID 42367612›Full record

ReviewFrontiers in global women's health2026

Application of single-cell RNA sequencing in preeclampsia.

Xiaojing Pan, Ting Luo

Abstract readReview
In one paragraph

Review in Frontiers in global women's health, 2026. 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

2 authors.

Xiaojing PanDepartment of Obstetrics, Affiliated Wenling Maternal and Child Health Care Hospital, Wenling City, Zhejiang Province, China.
Ting LuoDepartment of Obstetrics, Affiliated Wenling Maternal and Child Health Care Hospital, Wenling City, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preeclampsia (PE) is a pregnancy-specific multisystem disorder and a leading cause of maternal and perinatal morbidity and mortality worldwide. Despite the widely accepted two-stage model involving placental dysfunction and maternal systemic inflammation, the precise cellular and molecular mechanisms underlying its pathogenesis remain incompletely understood. In recent years, single-cell RNA sequencing (scRNA-seq) has emerged as a transformative technology capable of resolving transcriptional heterogeneity at unprecedented resolution, offering new insights into the complex cellular landscape of the maternal-fetal interface. This review systematically summarizes the application of scRNA-seq in advancing the understanding of PE pathogenesis. We first introduce the technical principles and advantages of scRNA-seq over bulk sequencing methods. Subsequently, we highlight key findings from scRNA-seq studies of the normal placenta and decidua, establishing a reference for cellular composition and trophoblast differentiation trajectories. We then focus on studies of PE placentas, which have revealed distinct dysfunction in trophoblast subpopulations-including impaired differentiation, invasion, and accelerated senescence-and have identified novel regulatory molecules such as BHLHE40, NDRG1, and DAB2. Additionally, we discuss scRNA-seq-derived insights into immune dysregulation at the maternal-fetal interface, including altered NK cell subsets, macrophage polarization, and disruption of immune tolerance mediated by molecules such as HLA-F and JUNB. Finally, we explore the translational potential of scRNA-seq in identifying novel biomarkers, constructing predictive models, and enabling disease subtyping for precision medicine. By capturing cell-specific transcriptional changes, scRNA-seq provides a powerful framework for deciphering the complexity of PE and holds promise for improving its prediction, diagnosis, and therapy.

Indexed as

immune microenvironmentmaternal-fetal interfaceplacentapreeclampsiasingle-cell RNA sequencingtrophoblast

Identifiers

PMID42367612
PMCPMC13294870

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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.