Evidence map›Paper›PMID 29228154›Full record

ArticleBiology of reproduction2018

Comparative transcriptomic analysis of human placentae at term and preterm delivery.

Alison G Paquette, Heather M Brockway, Nathan D Price, Louis J Muglia

Open access · bronzeAbstract read
In one paragraph

Article in Biology of reproduction, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 20% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Epigenetics · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The Role of Placental Non-Coding RNAs in Adverse Pregnancy Outcomes.International journal of molecular sciences · 2023
    Review
  10. Article
  11. Article
  12. Placental transcriptomic signatures of spontaneous preterm birth.American journal of obstetrics and gynecology · 2023
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Placental contribution to neonatal encephalopathy.Seminars in fetal & neonatal medicine · 2021
    Review
  19. Article
  20. 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 at 2 institutions in 1 country.

Alison G PaquetteInstitute for Systems Biology, Seattle, Washington, USA.
Heather M BrockwayDivision of Human Genetics, Center for Prevention of Preterm Birth, Cincinnati Children's, Hospital Medical Center, Cincinnati, Ohio, USA.
Nathan D PriceInstitute for Systems Biology, Seattle, Washington, USA.
Louis J MugliaDivision of Human Genetics, Center for Prevention of Preterm Birth, Cincinnati Children's, Hospital Medical Center, Cincinnati, Ohio, USA.
Cincinnati Children's Hospital Medical Center · USInstitute for Systems Biology · US

Funding

Harnessing "omics": A Systems Biology approach to discovery of biologicalpathways in placental development and parturitionR01HD091527 · NICHD · UNIVERSITY OF FLORIDA · PI BALONI, PRIYANKA, JONES, HELEN N · 2017 to 2021
$2.7M
NICHD NIH HHS R01 HD091527
6 · The paper itself

Abstract

Preterm birth affects 1 out of every 10 infants in the United States, resulting in substantial neonatal morbidity and mortality. Currently, there are few predictive markers and few treatment options to prevent preterm birth. A healthy, functioning placenta is essential to positive pregnancy outcomes. Previous studies have suggested that placental pathology may play a role in preterm birth etiology. Therefore, we tested the hypothesis that preterm placentae may exhibit unique transcriptomic signatures compared to term samples reflective of their abnormal biology leading to this adverse outcome. We aggregated publicly available placental villous microarray data to generate a preterm and term sample dataset (n = 133, 55 preterm placentae and 78 normal term placentae). We identified differentially expressed genes using the linear regression for microarray (LIMMA) package and identified perturbations in known biological networks using Differential Rank Conservation (DIRAC). We identified 129 significantly differentially expressed genes between term and preterm placenta with 96 genes upregulated and 33 genes downregulated (P-value <0.05). Significant changes in gene expression in molecular networks related to Tumor Protein 53 and phosphatidylinositol signaling were identified using DIRAC. We have aggregated a uniformly normalized transcriptomic dataset and have identified novel and established genes and pathways associated with developmental regulation of the placenta and potential preterm birth pathology. These analyses provide a community resource to integrate with other high-dimensional datasets for additional insights in normal placental development and its disruption.

Indexed as

Premature BirthTranscriptomeFemaleGene Expression RegulationGestational AgeHumansInfant, NewbornPlacentaPregnancyTerm Birthmicroarrayplacentapregnancypreterm birthtranscriptomics

Identifiers

PMID29228154
PMCPMC5803773
OpenAlexW2771801366

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.