Evidence map›Paper›PMID 33332660›Full record

ArticleCell proliferation2021

Systemic transcriptome comparison between early- And late-onset pre-eclampsia shows distinct pathology and novel biomarkers.

Fang Guo, Bao Zhang, Hao Yang, Yixi Fu, Yaning Wang, Jianming Huang, Mi Cheng, Xiaobo Li, Zhuojian Shen, Li Li and 4 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Cell proliferation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

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  4. Application of single-cell RNA sequencing in preeclampsia.Frontiers in global women's health · 2026
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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

14 authors at 2 institutions in 1 country.

Fang GuoDepartment of Obstetrics, First Affiliated Hospital of Jinan University, Guangzhou, China.
Bao ZhangKey Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China.
Hao YangKey Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China.
Yixi FuKey Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China.
Yaning WangKey Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China.
Jianming HuangDepartment of Obstetrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Mi ChengDepartment of Obstetrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Xiaobo LiCore Facilities for Medical Science, Sun Yat-sen University, Guangzhou, China.
Zhuojian ShenDepartment of Thoracic Surgery, Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.
Li LiDepartment of Obstetrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Ping HeDepartment of Obstetrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Andy Peng XiangKey Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China.
Shuaiyu WangKey Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China.
Hongbo ZhangKey Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-4081-5752
Sun Yat-sen University · CNGuangzhou Medical University · CN

Funding

Fundamental Research Funds 19kyzd37Guangzhou Women and Children's Medical Center GWCMC2020LH-4-001National Key R&D Program 2019YFA0801703National Natural Science Foundation of China 31871370National Natural Science Foundation of China 32000840Natural Science Foundation of Guangdong 2018A030313655Natural Science Foundation of Guangdong 2019A1515011342Science and Technology Program of Guangzhou 202002030429
6 · The paper itself

Abstract

objectivesPre-eclampsia is a leading cause of morbidity and mortality during pregnancy. Although the two forms of this disorder, early- (EOPE) and late-onset of pre-eclampsia (LOPE) are different, the underlying pathology remains elusive. We aim to unravel the difference and to identify novel biomarkers for EOPE and LOPE. MATERIALS AND

methodsA complete comparison of both placental and peripheral blood transcriptomes was performed to investigate the pathology of pre-eclampsia. Single-cell transcriptomics of the maternal-fetal interface were integrated to identify novel biomarkers for EOPE and LOPE which were further verified at protein or mRNA level in patients.

resultsWe found that the transcriptomes of placentae from EOPE, but not LOPE, were significantly different from their respective controls. Conversely, the transcriptomes of peripheral blood from LOPE were more different from their controls than EOPE. Importantly, we identified that several classical biomarkers of pre-eclampsia were expressed specifically in extravillous trophoblast and syncytiotrophoblast and only upregulated in EOPE, suggesting they should not be applied to all pre-eclampsia patients in general. We further identified novel biomarkers for EOPE and LOPE from differentially expressed genes (DEGs) of placental and peripheral blood, respectively. The new biomarkers EBI3, IGF2, ORMDL3, GATA2 and KIR2DL4 were experimentally verified with patient blood samples.

conclusionOur data demonstrate distinct pathology of EOPE and LOPE, and uncover new biomarkers that can be applied in diagnosis for pre-eclampsia.

Indexed as

TranscriptomeBiomarkersCase-Control StudiesComputational BiologyFemaleGATA2 Transcription FactorHumansInterleukinsLate Onset DisordersMembrane ProteinsMinor Histocompatibility AntigensPlacentaPre-EclampsiaPregnancyProtein Interaction MapsRNA, MessengerBiomarkersEBI3 protein, humanGATA2 protein, humanGATA2 Transcription FactorInterleukinsMembrane ProteinsMinor Histocompatibility AntigensORMDL3 protein, humanRNA, MessengerBiomarkersMaternal bloodPlacentaPre-eclampsiaSingle-cell RNA sequencing

Identifiers

PMID33332660
PMCPMC7848957
OpenAlexW3111413296

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.