Evidence map›Paper›PMID 31342622›Full record

ArticleJournal of cellular and molecular medicine2019

MicroRNA-transcriptome networks in whole blood and monocytes of women undergoing preterm labour.

Alison G Paquette, Oksana Shynlova, Xiaogang Wu, Mark Kibschull, Kai Wang, Nathan D Price, Stephen J Lye

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 23 citations in OpenAlex.

  1. Cohort Profile: The Ontario Birth Study (OBS).International journal of epidemiology · 2026
    Article
  2. Chemokines in Pregnancy.Biomolecules · 2025
    Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Placental transcriptomic signatures of spontaneous preterm birth.American journal of obstetrics and gynecology · 2023
    Article
  12. Article
  13. Article
  14. Preterm Labor, a Syndrome Attributed to the Combination of External and Internal Factors.Maternal-fetal medicine (Wolters Kluwer Health, Inc.) · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. 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

7 authors at 2 institutions in 2 countries.

Alison G PaquetteInstitute for Systems Biology, Seattle, WA, USA.ORCID 0000-0002-6065-9398
Oksana ShynlovaProgram in Development and Fetal Health, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.ORCID 0000-0002-6084-8156
Xiaogang WuInstitute for Systems Biology, Seattle, WA, USA.
Mark KibschullProgram in Development and Fetal Health, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.
Kai WangInstitute for Systems Biology, Seattle, WA, USA.
Nathan D PriceInstitute for Systems Biology, Seattle, WA, USA.
Stephen J LyeProgram in Development and Fetal Health, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.
Institute for Systems Biology · USLunenfeld-Tanenbaum Research Institute · CA

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
The role of Corticotrophin Releasing Hormone on placental transcriptional networks and birth timingK99HD096112 · NICHD · INSTITUTE FOR SYSTEMS BIOLOGY · PI PAQUETTE, ALISON GENEVIEVE · 2018 to 2019
$258k
NICHD NIH HHS K99 HD096112NICHD NIH HHS R01 HD091527
6 · The paper itself

Abstract

Preterm birth is attributed to neonatal morbidity as well as cognitive and physiological challenges. We have previously identified significant differences in mRNA expression in whole blood and monocytes, as well as differences in miRNA concentration in blood plasma, extracellular vesicles (EV) and EV-depleted plasma in women undergoing spontaneous preterm labour (sPTL). The goal of this analysis was to identify differences in miRNA expression within whole blood (WB) and peripheral monocytes (PM) from the same population of women undergoing sPTL compared with non-labouring controls matched by gestational age. We performed single-end small RNA sequencing in whole blood and peripheral monocytes from women undergoing sPTL with active contractions (24-34 weeks of gestation, N = 15) matched for gestational age to healthy pregnant non-labouring controls (>37 weeks gestation, N = 30) who later delivered at term as a part of the Ontario Birth Study (Toronto, Ontario CA). We identified significant differences in expression of 16 miRNAs in PMs and nine miRNAs in WB in women undergoing sPTL. In PMs, these miRNAs were predicted targets of 541 genes, including 28 previously associated with sPTL. In WB, miRNAs were predicted to target 303 genes, including nine previously associated with sPTL. These genes were involved in a variety of immune pathways, including interleukin-2 signalling. This study is the first to identify changes in miRNA expression in WB and PMs of women undergoing sPTL. Our results shed light on potential mechanisms by which miRNAs may play a role in mediating systemic inflammatory response in pregnant women that deliver prematurely.

Indexed as

AdultFemaleGene Expression RegulationGene OntologyGene Regulatory NetworksHumansMicroRNAsMiddle AgedMonocytesObstetric Labor, PrematurePregnancyReproducibility of ResultsRNA, MessengerSignal TransductionTranscriptomeYoung AdultMicroRNAsRNA, Messengerinterleukin signallingmiRNAmonocytespreterm laborRNA sequencingsystems biology

Identifiers

PMID31342622
PMCPMC6787570
OpenAlexW2963994951

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.