Evidence map›Paper›PMID 40159439›Full record

ReviewMolecular genetics and genomics : MGG2025

Non-coding RNAs: the architects of placental development and pregnancy success.

Hongjuan Pan, Baisha Ouyang, Hui Zhang, Caizhen Zhao

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular genetics and genomics : MGG, 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. Review
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  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

4 authors.

Hongjuan PanTaikang Tongji (Wuhan) Hospital, Wuhan, 430050, Hubei, China.
Baisha OuyangTaikang Tongji (Wuhan) Hospital, Wuhan, 430050, Hubei, China.
Hui ZhangTaikang Tongji (Wuhan) Hospital, Wuhan, 430050, Hubei, China.
Caizhen ZhaoTaikang Tongji (Wuhan) Hospital, Wuhan, 430050, Hubei, China. zhaocz06@163.com.ORCID http://orcid.org/0009-0009-8335-2995

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noncoding RNAs (ncRNAs) constitute a significant portion of the transcriptome that lacks evident protein-coding functions; however, they have been confirmed to be crucial in various biological processes, including placental development. Notwithstanding the existence of various ncRNAs, research on their role in placental development and pregnancy has been constrained. The predominant category of identified ncRNAs specific to placental tissue is microRNAs (miRNAs). Given their prevalence, the significantly larger cohort of other non-coding RNAs, such as circular RNAs (circRNAs) and long non-coding RNAs (lncRNAs), is anticipated to exert a considerably greater influence than miRNAs. Syncytiotrophoblast, a fetal-derived cell, serves as a conduit between the fetus and mother by secreting extracellular vesicles that contain fetal proteins and RNA. Alterations in ncRNAs within placental tissue, especially in trophoblast cells and extracellular vesicles, may be linked to placental dysfunction that leads to pregnancy complications, serving either as a causative factor or a result. This review encapsulates the existing understanding of ncRNAs in placental development, pregnancy success, pregnancy-related complications, extracellular vesicle conveyance, and their capacity as innovative diagnostic instruments and therapeutic strategies.

Indexed as

PlacentationRNA, UntranslatedAnimalsExtracellular VesiclesFemaleHumansMicroRNAsPlacentaPregnancyPregnancy ComplicationsRNA, CircularRNA, Long NoncodingTrophoblastsMicroRNAsRNA, CircularRNA, Long NoncodingRNA, UntranslatedCircular RNAsExtracellular vesiclesLong noncoding RNAsMicroRNAsNoncoding RNAsPlacenta developmentPregnancy

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.