Evidence map›Paper›PMID 37340405›Full record

ArticleReproductive biology and endocrinology : RB&E2023

LncRNA landscape and associated ceRNA network in placental villus of unexplained recurrent spontaneous abortion.

Minyue Tang, Qingfang Li, Shan Wan, Qingqing Chen, Shujun Feng, Jiali You, Wei Wang, Yimin Zhu

Open access · goldAbstract read
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 22% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Minyue Tang *Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China. tangmy@zju.edu.cn.
Qingfang Li *Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Shan WanDepartment of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Qingqing ChenDepartment of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Shujun FengDepartment of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Jiali YouDepartment of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Wei WangDepartment of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Yimin ZhuDepartment of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China. zhuyim@zju.edu.cn.
Women's Hospital, School of Medicine, Zhejiang University · CN

Funding

National Key Research and Development Program of China 2021YFC2700603National Natural Science Foundation of China 82002729National Natural Science Foundation of China 82101759National Natural Science Foundation of China 82201860Science Fund for Distinguished Young Scholars of Zhejiang Province LQ22H040006
6 · The paper itself

Abstract

backgroundUnexplained recurrent spontaneous abortion (URSA) is one of the most challenging conditions frustrates women of childbearing age profoundly. The gene expression patterns and biological characteristics of placental villus in patients with URSA remain largely unknown. The aim of our study was to identify potential lncRNAs as well as their action mechanisms in URSA.

methodThe ceRNA microarray was used to identify the mRNA and lncRNA expression profiles of URSA patients and normal pregnancy. Functional enrichment analyses for differentially expressed mRNAs in URSA were performed. Protein-protein interaction analysis of differentially expressed mRNAs was performed to identify hub genes and key modules. Subsequently, the co-dysregulated ceRNA network of URSA was established, and the enrichment analyses for the mRNAs in the ceRNA network was implemented. qRT-PCR was performed to validated the expression of key ENST00000429019 and mRNAs in URSA.

resultsWe found that URSA placental villus have distinct mRNA and lncRNA expression profiles through ceRNA microarray, with a total of 347 mRNAs and 361 lncRNAs differentially expressed compared with controls. The functional enrichment analysis revealed that ncRNA processing, DNA replication, cell cycle, apoptosis, cytokine-mediated signaling pathway, ECM-receptor interaction were the potentially disrupted pathways in URSA patients. Then we constructed a co-dysregulated ceRNA network and found differentially expressed mRNAs were regulated by a small fraction of hub lncRNAs. Finally, we found a key network of ENST00000429019 and three cell proliferation or apoptosis related key mRNAs (CDCA3, KIFC1, NCAPH), and validated their expression and regulation in tissue and cellular levels.

conclusionsThis study identified a key ceRNA network, which might take part in URSA and correlate with cell proliferation and apoptosis. Optimistically, this study may deepen our apprehensions about the underlying molecular and biological causes of URSA and provide an important theoretical basis for future therapeutic strategies for patients with URSA.

Indexed as

Abortion, HabitualMicroRNAsRNA, Long NoncodingCell Cycle ProteinsChorionic VilliFemaleGene Regulatory NetworksHumansNuclear ProteinsPlacentaPregnancyRNA, MessengerCDCA3 protein, humanCell Cycle ProteinsMicroRNAsNCAPH protein, humanNuclear ProteinsRNA, Long NoncodingRNA, MessengerApoptosisCeRNALncRNAProliferationRecurrent spontaneous abortionTrophoblast

Identifiers

PMID37340405
PMCPMC10280933
OpenAlexW4381435039

What OpenQuestion holds

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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.