Evidence map›Paper›PMID 34153234›Full record

ArticleAmerican journal of obstetrics and gynecology2021

Amniotic fluid microRNA profiles in twin-twin transfusion syndrome with and without severe recipient cardiomyopathy.

Emily C Willner, Henry L Galan, Bettina F Cuneo, Hilary A Hoffman, Bonnie Neltner, Eleanor L Schuchardt, Anis Karimpour-Fard, Shelley D Miyamoto, Carmen C Sucharov

Open access · greenAbstract read
In one paragraph

Article in American journal of obstetrics and gynecology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Emily C WillnerDepartment of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO.
Henry L GalanDepartment of Obstetrics and Gynecology, University of Colorado School of Medicine, Colorado Fetal Care Center, Children's Hospital Colorado, Aurora, CO.
Bettina F CuneoDivision of Cardiology, Department of Pediatrics, Colorado Fetal Care Center, Children's Hospital Colorado, Aurora, CO.
Hilary A HoffmanColorado Fetal Care Center, Children's Hospital Colorado, Aurora, CO.
Bonnie NeltnerDivision of Cardiology, University of Colorado, Aurora, CO.
Eleanor L SchuchardtDepartment of Pediatrics, Children's Hospital Colorado, Aurora, CO; Division of Cardiology, Department of Pediatrics, University of California San Diego and Rady Children's Hospital, San Diego, CA.
Anis Karimpour-FardDepartment of Pharmacology, University of Colorado, Aurora, CO.
Shelley D MiyamotoDepartment of Pediatrics, Children's Hospital Colorado, Aurora, CO; Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO.
Carmen C SucharovDivision of Cardiology, Department of Medicine, University of Colorado, Aurora, CO. Electronic address: kika.sucharov@cuanschutz.edu.
Children's Hospital Colorado · USUniversity of Colorado Anschutz Medical Campus · USUniversity of California San Diego · USUniversity of Colorado Denver · US

Funding

Prognostic Significance of microRNA Expression in Children with CardiomyopathyR01HL139968 · NHLBI · WAYNE STATE UNIVERSITY · PI LIPSHULTZ, STEVEN EDWARD, MIYAMOTO, SHELLEY DEANNE · 2018 to 2021
$3.3M
Investigations of Pathologic Remodeling Using Pediatric Heart Failure SerumK24HL150630 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI SUCHAROV, CARMEN C · 2020 to 2024
$537k
NHLBI NIH HHS K24 HL150630NHLBI NIH HHS R01 HL139968
6 · The paper itself

Abstract

backgroundTwin-twin transfusion syndrome presents many challenges for clinicians, and the optimal means of identifying pregnancies that will benefit most from intervention is controversial. There is currently no clinically available biomarker to detect twin-twin transfusion syndrome or to stratify cases based on the risk factors. microRNAs are small RNAs that regulate gene expression and are biomarkers for various disease processes, including adult and pediatric heart failure. To date, no studies have investigated amniotic fluid microRNAs as biomarkers for disease severity, specifically for severe recipient cardiomyopathy in twin-twin transfusion syndrome cases.

objectiveThis study aimed to assess whether amniotic fluid microRNAs could be useful as biomarkers to identify pregnancies at greatest risk for severe recipient cardiomyopathy associated with twin-twin transfusion syndrome. STUDY

designAmniotic fluid was collected at the time of amnioreduction or selective fetoscopic laser photocoagulation from monochorionic diamniotic twin pregnancies with twin-twin transfusion syndrome at any stage. Fetal echocardiography was performed on all twins before the procedure, and severe cardiomyopathy was defined as a right ventricular myocardial performance index of the recipient fetus of >4 Z-scores. microRNA was extracted from the amniotic fluid samples and analyzed using an array panel assessing 379 microRNAs (TaqMan Open Array, ThermoFisher). Student t tests were performed to determine significant differences in microRNA expression between pregnancies with severe recipient cardiomyopathy and those with preserved cardiac function. A stringent q value of <.0025 was used to determine differential microRNA expression. Random forest plots identified the top 3 microRNAs that separated the 2 groups, and hierarchical cluster analysis was used to determine if these microRNAs properly segregated the samples according to their clinical groups.

resultsA total of 14 amniotic fluid samples from pregnancies with twin-twin transfusion syndrome with severe cardiomyopathy were compared with samples from 12 twin-twin transfusion syndrome control cases with preserved cardiac function. A total of 110 microRNAs were identified in the amniotic fluid samples. Twenty microRNAs were differentially expressed, and the top 3 differentiating microRNAs were hsa-miR-200c-3p, hsa-miR-17-5p, and hsa-miR-539-5p. Hierarchical cluster analysis based on these top 3 microRNAs showed a strong ability to differentiate severe cardiomyopathy cases from controls. The top 3 microRNAs were used to investigate the sensitivity and specificity of these microRNAs to differentiate between the 2 groups with a receiver operating characteristic curve demonstrating sensitivity and specificity of 80.8%. All 20 differentially expressed microRNAs were down-regulated in the group with severe cardiomyopathy.

conclusionAmniotic fluid microRNAs demonstrated differential expression between twin-twin transfusion syndrome recipient fetuses with severe cardiomyopathy and those without and have the potential to be important biomarkers of disease severity in this population.

Indexed as

AdultAmniotic FluidBiomarkersCardiomyopathiesCase-Control StudiesCluster AnalysisDown-RegulationDrainageEchocardiographyFemaleFetofetal TransfusionFetoscopyHumansLight CoagulationMicroRNAsPregnancyBiomarkersMicroRNAsMIRN17 microRNA, humanMIRN200 microRNA, humanMIRN539 microRNA, humanbiomarkerheart failuremonochorionicmyocardial performance indexselective fetoscopic laser photocoagulationTei indexultrasound

Identifiers

PMID34153234
PMCPMC8562927
OpenAlexW3176316870

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.