Evidence map›Paper›PMID 34412547›Full record

ArticleRNA biology2021

Large-scale transcriptome-wide profiling of microRNAs in human placenta and maternal plasma at early to mid gestation.

Melanie D Smith, Katherine Pillman, Tanja Jankovic-Karasoulos, Dale McAninch, Qianhui Wan, K Justinian Bogias, Dylan McCullough, Tina Bianco-Miotto, James Breen, Claire T Roberts

Open access · bronzeAbstract read
In one paragraph

Article in RNA biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.1field-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

23 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Blood Pressure and Late Pregnancy Circulating miRNAs in the MADRES Study.Journal of the American Heart Association · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. The role of microRNAs in pregnancies complicated by maternal diabetes.Clinical science (London, England : 1979) · 2024
    Review
  8. Article
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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

10 authors at 4 institutions in 1 country.

Melanie D SmithRobinson Research Institute, University of Adelaide, Adelaide, SA, Australia.ORCID 0000-0001-7016-8245
Katherine PillmanCentre for Cancer Biology, University of South Australia/SA Pathology, Adelaide, SA, Australia.ORCID 0000-0002-5869-889X
Tanja Jankovic-KarasoulosRobinson Research Institute, University of Adelaide, Adelaide, SA, Australia.ORCID 0000-0003-4293-359X
Dale McAninchAdelaide Medical School, University of Adelaide, Adelaide, SA, Australia.
Qianhui WanFlinders Health and Medical Research Institute, Flinders University, Bedford Park, SA, Australia.ORCID 0000-0003-4207-4940
K Justinian BogiasRobinson Research Institute, University of Adelaide, Adelaide, SA, Australia.ORCID 0000-0002-5776-2052
Dylan McCulloughFlinders Health and Medical Research Institute, Flinders University, Bedford Park, SA, Australia.
Tina Bianco-MiottoRobinson Research Institute, University of Adelaide, Adelaide, SA, Australia.ORCID 0000-0002-8431-5338
James BreenRobinson Research Institute, University of Adelaide, Adelaide, SA, Australia.ORCID 0000-0001-6184-0925
Claire T RobertsRobinson Research Institute, University of Adelaide, Adelaide, SA, Australia.ORCID 0000-0002-9250-2192
Flinders University · AUThe University of Adelaide · AUSouth Australian Health and Medical Research Institute · AUSouth Australia Pathology · AU

Funding

Maternal molecular profiles reflect placental function and development across gestationR01HD089685 · NICHD · UNIVERSITY OF ADELAIDE · PI ROBERTS, CLAIRE · 2016 to 2019
$953k
NICHD NIH HHS R01 HD089685
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are increasingly seen as important regulators of placental development and opportunistic biomarker targets. Given the difficulty in obtaining samples from early gestation and subsequent paucity of the same, investigation of the role of miRNAs in early gestation human placenta has been limited. To address this, we generated miRNA profiles using 96 placentas from presumed normal pregnancies, across early gestation, in combination with matched profiles from maternal plasma. Placenta samples range from 6 to 23 weeks' gestation, a time period that includes placenta from the early, relatively low but physiological (6-10 weeks' gestation) oxygen environment, and later, physiologically normal oxygen environment (11-23 weeks' gestation).We identified 637 miRNAs with expression in 86 samples (after removing poor quality samples), showing a clear gestational age gradient from 6 to 23 weeks' gestation. We identified 374 differentially expressed (DE) miRNAs between placentas from 6-10 weeks' versus 11-23 weeks' gestation. We see a clear gestational age group bias in miRNA clusters C19MC, C14MC, miR-17 ~ 92 and paralogs, regions that also include many DE miRNAs. Proportional change in expression of placenta-specific miRNA clusters was reflected in maternal plasma.The presumed introduction of oxygenated maternal blood into the placenta (between ~10 and 12 weeks' gestation) changes the miRNA profile of the chorionic villus, particularly in placenta-specific miRNA clusters. Data presented here comprise a clinically important reference set for studying early placenta development and may underpin the generation of minimally invasive methods for monitoring placental health.

Indexed as

Gene Expression Regulation, DevelopmentalGestational AgeMaternal-Fetal ExchangeTranscriptomeFemaleHumansInfant, NewbornMaleMicroRNAsPlacentaPregnancyMicroRNAsC14MCC19MCDLK1-DI03miR-17~92miRNAplacentapregnancy

Identifiers

PMID34412547
PMCPMC8677031
OpenAlexW3195222185

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.