Evidence map›Paper›PMID 35031065›Full record

ArticleReproductive biology and endocrinology : RB&E2022

Human plasma pregnancy-associated miRNAs and their temporal variation within the first trimester of pregnancy.

Cécilia Légaré, Andrée-Anne Clément, Véronique Desgagné, Kathrine Thibeault, Frédérique White, Simon-Pierre Guay, Benoit J Arsenault, Michelle S Scott, Pierre-Étienne Jacques, Patrice Perron and 3 more

Abstract read
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. MicroRNA Associations with Preterm Labor-A Systematic Review.International journal of molecular sciences · 2024
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  12. Capacity Planning (Capital, Staff and Costs) of Inpatient Maternity Services: Pitfalls for the Unwary.International journal of environmental research and public health · 2025
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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

13 authors.

Cécilia Légaré *Department of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences (FMHS), Université de Sherbrooke, Sherbrooke, QC, Canada.
Andrée-Anne Clément *Department of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences (FMHS), Université de Sherbrooke, Sherbrooke, QC, Canada.
Véronique DesgagnéDepartment of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences (FMHS), Université de Sherbrooke, Sherbrooke, QC, Canada.
Kathrine ThibeaultDepartment of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences (FMHS), Université de Sherbrooke, Sherbrooke, QC, Canada.
Frédérique WhiteDepartment of Biology, FMHS, Université de Sherbrooke, Sherbrooke, QC, Canada.
Simon-Pierre GuayDepartment of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences (FMHS), Université de Sherbrooke, Sherbrooke, QC, Canada.
Benoit J ArsenaultCentre de Recherche de L'Institut Universitaire de Cardiologie et de Pneumologie de Québec (IUCPQ), Québec, QC, Canada.
Michelle S ScottDepartment of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences (FMHS), Université de Sherbrooke, Sherbrooke, QC, Canada.
Pierre-Étienne JacquesDepartment of Biology, FMHS, Université de Sherbrooke, Sherbrooke, QC, Canada.
Patrice PerronCentre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CR-CHUS), Sherbrooke, QC, Canada.
Renée GuérinDepartment of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences (FMHS), Université de Sherbrooke, Sherbrooke, QC, Canada.
Marie-France HivertDepartment of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, USA.
Luigi BouchardDepartment of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences (FMHS), Université de Sherbrooke, Sherbrooke, QC, Canada. Luigi.Bouchard@USherbrooke.ca.

Funding

canadian diabetes association grant #OG-3-08-2622-JACIHR #IGH-155183CIHR #MOP 115071CIHR #PJT 152989fonds de recherche du québec - santé #20697
6 · The paper itself

Abstract

backgroundDuring pregnancy, maternal metabolism undergoes substantial changes to support the developing fetus. Such changes are finely regulated by different mechanisms carried out by effectors such as microRNAs (miRNAs). These small non-coding RNAs regulate numerous biological functions, mostly through post-transcriptional repression of gene expression. miRNAs are also secreted in circulation by numerous organs, such as the placenta. However, the complete plasmatic microtranscriptome of pregnant women has still not been fully described, although some miRNA clusters from the chromosome 14 (C14MC) and the chromosome 19 (C19MC and miR-371-3 cluster) have been proposed as being specific to pregnancy. Our aims were thus to describe the plasma microtranscriptome during the first trimester of pregnancy, by assessing the differences with non-pregnant women, and how it varies between the 4

methodsPlasmatic miRNAs from 436 pregnant (gestational week 4 to 16) and 15 non-pregnant women were quantified using Illumina HiSeq next-generation sequencing platform. Differentially abundant miRNAs were identified using DESeq2 package (FDR q-value ≤ 0.05) and their targeted biological pathways were assessed with DIANA-miRpath.

resultsA total of 2101 miRNAs were detected, of which 191 were differentially abundant (fold change < 0.05 or > 2, FDR q-value ≤ 0.05) between pregnant and non-pregnant women. Of these, 100 miRNAs were less and 91 miRNAs were more abundant in pregnant women. Additionally, the abundance of 57 miRNAs varied according to gestational age at first trimester, of which 47 were positively and 10 were negatively associated with advancing gestational age. miRNAs from the C19MC were positively associated with both pregnancy and gestational age variation during the first trimester. Biological pathway analysis revealed that these 191 (pregnancy-specific) and 57 (gestational age markers) miRNAs targeted genes involved in fatty acid metabolism, ECM-receptor interaction and TGF-beta signaling pathways.

conclusionWe have identified circulating miRNAs specific to pregnancy and/or that varied with gestational age in first trimester. These miRNAs target biological pathways involved in lipid metabolism as well as placenta and embryo development, suggesting a contribution to the maternal metabolic adaptation to pregnancy and fetal growth.

Indexed as

AdolescentAdultCase-Control StudiesCohort StudiesFemaleGene ExpressionGene Expression ProfilingGestational AgeHumansMaleMicroRNAsMiddle AgedPregnancyPregnancy Trimester, FirstTime FactorsYoung AdultMicroRNAsCirculating microRNAMaternal plasmamicroRNANext-generation sequencingPregnancy

Identifiers

PMID35031065
PMCPMC8759232

What OpenQuestion holds

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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.