Evidence map›Paper›PMID 26268791›Full record

ArticleScientific reports2015

Extensive shift in placental transcriptome profile in preeclampsia and placental origin of adverse pregnancy outcomes.

Siim Sõber, Mario Reiman, Triin Kikas, Kristiina Rull, Rain Inno, Pille Vaas, Pille Teesalu, Jesus M Lopez Marti, Pirkko Mattila, Maris Laan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 3 pooled it
8.5field-weighted citation impact, top 2% 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

68 citing papers in PubMed, 3 syntheses or guidelines pooled it, 129 citations in OpenAlex.

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8 more citing papers are in PubMed but not listed here.

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

10 authors at 3 institutions in 2 countries.

Siim SõberHuman Molecular Genetics Research Group, Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia.
Mario ReimanHuman Molecular Genetics Research Group, Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia.
Triin KikasHuman Molecular Genetics Research Group, Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia.
Kristiina RullHuman Molecular Genetics Research Group, Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia.
Rain InnoHuman Molecular Genetics Research Group, Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia.
Pille VaasDepartment of Obstetrics and Gynecology, University of Tartu, Puusepa St. 8, Tartu 51014, Estonia.
Pille TeesaluDepartment of Obstetrics and Gynecology, University of Tartu, Puusepa St. 8, Tartu 51014, Estonia.
Jesus M Lopez MartiInstitute for Molecular Medicine Finland (FIMM), Tukholmankatu 8, Helsinki FI-00014, Finland.
Pirkko MattilaInstitute for Molecular Medicine Finland (FIMM), Tukholmankatu 8, Helsinki FI-00014, Finland.
Maris LaanHuman Molecular Genetics Research Group, Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia.
University of Tartu · EEInstitute for Molecular Medicine Finland · FITartu University Hospital · EE

Funding

Wellcome TrustWellcome Trust 070191/Z/03/A
6 · The paper itself

Abstract

One in five pregnant women suffer from gestational complications, prevalently driven by placental malfunction. Using RNASeq, we analyzed differential placental gene expression in cases of normal gestation, late-onset preeclampsia (LO-PE), gestational diabetes (GD) and pregnancies ending with the birth of small-for-gestational-age (SGA) or large-for-gestational-age (LGA) newborns (n = 8/group). In all groups, the highest expression was detected for small noncoding RNAs and genes specifically implicated in placental function and hormonal regulation. The transcriptome of LO-PE placentas was clearly distinct, showing statistically significant (after FDR) expressional disturbances for hundreds of genes. Taqman RT-qPCR validation of 45 genes in an extended sample (n = 24/group) provided concordant results. A limited number of transcription factors including LRF, SP1 and AP2 were identified as possible drivers of these changes. Notable differences were detected in differential expression signatures of LO-PE subtypes defined by the presence or absence of intrauterine growth restriction (IUGR). LO-PE with IUGR showed higher correlation with SGA and LO-PE without IUGR with LGA placentas. Whereas changes in placental transcriptome in SGA, LGA and GD cases were less prominent, the overall profiles of expressional disturbances overlapped among pregnancy complications providing support to shared placental responses. The dataset represent a rich catalogue for potential biomarkers and therapeutic targets.

Indexed as

TranscriptomeAdultBiomarkersCase-Control StudiesFemaleGene Expression RegulationHumansPlacentaPre-EclampsiaPregnancyTranscription FactorsYoung AdultBiomarkersTranscription Factors

Identifiers

PMID26268791
PMCPMC4542630
OpenAlexW1151864206

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.