Evidence map›Paper›PMID 32252821›Full record

ReviewBiology of sex differences2020

Pregnancy-associated cardiac dysfunction and the regulatory role of microRNAs.

Laila Aryan, Lejla Medzikovic, Soban Umar, Mansoureh Eghbali

Open access · goldAbstract readReview
In one paragraph

Review in Biology of sex differences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Guidelines for assessing maternal cardiovascular physiology during pregnancy and postpartum.American journal of physiology. Heart and circulatory physiology · 2024
    Guideline
  2. MicroRNA Associations with Preterm Labor-A Systematic Review.International journal of molecular sciences · 2024
    Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Role of MicroRNAs in Cardiac Disease with Stroke in Pregnancy.Oxidative medicine and cellular longevity · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. The Role of Estrogen Receptors in Cardiovascular Disease.International journal of molecular sciences · 2020
    Review
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 1 institution in 1 country.

Laila AryanDepartment of Anesthesiology, Division of Molecular Medicine, David Geffen School of Medicine at University of California, Los Angeles, BH-550 CHS, Los Angeles, CA, 90095-7115, USA.
Lejla MedzikovicDepartment of Anesthesiology, Division of Molecular Medicine, David Geffen School of Medicine at University of California, Los Angeles, BH-550 CHS, Los Angeles, CA, 90095-7115, USA.
Soban UmarDepartment of Anesthesiology, Division of Molecular Medicine, David Geffen School of Medicine at University of California, Los Angeles, BH-550 CHS, Los Angeles, CA, 90095-7115, USA.
Mansoureh EghbaliDepartment of Anesthesiology, Division of Molecular Medicine, David Geffen School of Medicine at University of California, Los Angeles, BH-550 CHS, Los Angeles, CA, 90095-7115, USA. meghbali@ucla.edu.
University of California, Los Angeles · US

Funding

Epigenetic regulation of myocardial ischemia/reperfusion injury by X chromosomeR01HL131182 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARNOLD, ARTHUR P, EGHBALI, MANSOUREH · 2016 to 2019
$1.5M
NHLBI NIH HHS R01 HL131182
6 · The paper itself

Abstract

Many crucial cardiovascular adaptations occur in the body during pregnancy to ensure successful gestation. Maladaptation of the cardiovascular system during pregnancy can lead to complications that promote cardiac dysfunction and may lead to heart failure (HF). About 12% of pregnancy-related deaths in the USA have been attributed to HF and the detrimental effects of cardiovascular complications on the heart can be long-lasting, pre-disposing the mother to HF later in life. Indeed, cardiovascular complications such as gestational diabetes mellitus, preeclampsia, gestational hypertension, and peripartum cardiomyopathy have been shown to induce cardiac metabolic dysfunction, oxidative stress, fibrosis, apoptosis, and diastolic and systolic dysfunction in the hearts of pregnant women, all of which are hallmarks of HF. The exact etiology and cardiac pathophysiology of pregnancy-related complications is not yet fully deciphered. Furthermore, diagnosis of cardiac dysfunction in pregnancy is often made only after clinical symptoms are already present, thus necessitating the need for novel diagnostic and prognostic biomarkers. Mounting data demonstrates an altered expression of maternal circulating miRNAs during pregnancy affected by cardiovascular complications. Throughout the past decade, miRNAs have become of growing interest as modulators and biomarkers of pathophysiology, diagnosis, and prognosis in cardiac dysfunction. While the association between pregnancy-related cardiovascular complications and cardiac dysfunction or HF is becoming increasingly evident, the roles of miRNA-mediated regulation herein remain poorly understood. Therefore, this review will summarize current reports on pregnancy-related cardiovascular complications that may lead to cardiac dysfunction and HF during and after pregnancy in previously healthy women, with a focus on the pathophysiological role of miRNAs.

Indexed as

MicroRNAsAnimalsFemaleHeartHeart DiseasesHumansPregnancyPregnancy ComplicationsMicroRNAsCardiac dysfunctionGestational diabetesGestational hypertensionHeart failureMicroRNAPeripartum cardiomyopathyPre-eclampsiaPregnancy

Identifiers

PMID32252821
PMCPMC7137306
OpenAlexW3014131914

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.