Evidence map›Paper›PMID 31119847›Full record

ArticleGenes, brain, and behavior2019

Novel biomarkers to assess in utero effects of maternal opioid use: First steps toward understanding short- and long-term neurodevelopmental sequelae.

Laura Goetzl, Tara Thompson-Felix, Nune Darbinian, Nana Merabova, Salim Merali, Carmen Merali, Kathryne Sanserino, Tamara Tatevosian, Bruno Fant, Mathieu E Wimmer

Open access · greenAbstract read
In one paragraph

Article in Genes, brain, and behavior, 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
3.3field-weighted citation impact, top 9% 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, 20 citations in OpenAlex.

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  14. Frontiers in neuroscience · 2023
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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

10 authors at 4 institutions in 1 country.

Laura GoetzlDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of Texas Health Sciences Center, Houston, Texas.ORCID 0000-0003-4130-2809
Tara Thompson-FelixDepartment of Psychiatry and Behavioral Science, Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania.
Nune DarbinianShriners Pediatric Research Center, Center for Neural Repair and Rehabilitation, Temple University, Philadelphia, Pennsylvania.
Nana MerabovaShriners Pediatric Research Center, Center for Neural Repair and Rehabilitation, Temple University, Philadelphia, Pennsylvania.
Salim MeraliSchool of Pharmacy, Temple University, Philadelphia, Pennsylvania.
Carmen MeraliSchool of Pharmacy, Temple University, Philadelphia, Pennsylvania.
Kathryne SanserinoDepartment of Obstetrics & Gynecology, Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania.
Tamara TatevosianShriners Pediatric Research Center, Center for Neural Repair and Rehabilitation, Temple University, Philadelphia, Pennsylvania.
Bruno FantDepartment of Psychiatry, Center for Neurobiology and Behavior, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Mathieu E WimmerDepartment of Psychology, Temple University, Philadelphia, Pennsylvania.
Temple University · USShriners Hospitals for Children - Philadelphia · USThe University of Texas Health Science Center · USUniversity of Pennsylvania · US

Funding

Mechanisms Underlying Learning Deficits Caused by Paternal Cocaine TakingK01DA039308 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI WIMMER, MATHIEU · 2016 to 2020
$903k
NIDA NIH HHS K01 DA039308
6 · The paper itself

Abstract

Maternal opioid use disorder is common, resulting in significant neonatal morbidity and cost. Currently, it is not possible to predict which opioid-exposed newborns will require pharmacotherapy for neonatal abstinence syndrome. Further, little is known regarding the effects of maternal opioid use disorder on the developing human brain. We hypothesized that novel methodologies utilizing fetal central nervous system-derived extracellular vesicles isolated from maternal blood can address these gaps in knowledge. Plasma from opioid users and controls between 9 and 21 weeks was precipitated and extracellular vesicles were isolated. Mu opioid and cannabinoid receptor levels were quantified. Label-free proteomics studies and unbiased small RNA next generation sequencing was performed in paired fetal brain tissue. Maternal opioid use disorder increased mu opioid receptor protein levels in extracellular vesicles independent of opioid equivalent dose. Moreover, cannabinoid receptor levels in extracellular vesicles were upregulated with opioid exposure indicating cross talk with endocannabinoids. Maternal opioid use disorder was associated with significant changes in extracellular vesicle protein cargo and fetal brain micro RNA expression, especially in male fetuses. Many of the altered cargo molecules and micro RNAs identified are associated with adverse clinical neurodevelopmental outcomes. Our data suggest that assays relying on extracellular vesicles isolated from maternal blood extracellular vesicles may provide information regarding fetal response to opioids in the setting of maternal opioid use disorder. Prospective clinical studies are needed to evaluate the association between extracellular vesicle biomarkers, risk of neonatal abstinence syndrome and neurodevelopmental outcomes.

Indexed as

AdultBiomarkersExtracellular VesiclesFemaleHumansMaternal Serum Screening TestsNeurodevelopmental DisordersOpioid-Related DisordersPregnancyPrenatal Exposure Delayed EffectsReceptors, CannabinoidReceptors, Opioid, muBiomarkersReceptors, CannabinoidReceptors, Opioid, mucannabinoidextracellular vesiclesfetalmaternal opioid use disordermicro RNA

Identifiers

PMID31119847
PMCPMC7074845
OpenAlexW2945462106

What OpenQuestion holds

Textmetadata
LicenceTDM
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.