Evidence map›Paper›PMID 35396369›Full record

ArticleScientific reports2022

Prenatal opioid-exposed infant extracellular miRNA signature obtained at birth predicts severity of neonatal opioid withdrawal syndrome.

Amanda H Mahnke, Melissa H Roberts, Lawrence Leeman, Xingya Ma, Ludmila N Bakhireva, Rajesh C Miranda

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Genetic and Epigenetic Approaches to Opioid Use Disorder.Expert reviews in molecular medicine · 2025
    Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. 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

6 authors at 2 institutions in 1 country.

Amanda H MahnkeDepartment of Neuroscience and Experimental Therapeutics, College of Medicine, Texas A&M University Health Science Center, 8447 Riverside Parkway, Bryan, TX, 77807-3260, USA. mahnke@tamu.edu.
Melissa H RobertsDepartment of Pharmacy Practice and Administrative Sciences, Substance Use Research and Education (SURE) Center, University of New Mexico College of Pharmacy, Albuquerque, NM, 87131, USA.
Lawrence LeemanDepartment of Family and Community Medicine, University of New Mexico School of Medicine, Albuquerque, NM, 87106, USA.
Xingya MaDepartment of Pharmacy Practice and Administrative Sciences, Substance Use Research and Education (SURE) Center, University of New Mexico College of Pharmacy, Albuquerque, NM, 87131, USA.
Ludmila N Bakhireva *Department of Pharmacy Practice and Administrative Sciences, Substance Use Research and Education (SURE) Center, University of New Mexico College of Pharmacy, Albuquerque, NM, 87131, USA.
Rajesh C Miranda *Department of Neuroscience and Experimental Therapeutics, College of Medicine, Texas A&M University Health Science Center, 8447 Riverside Parkway, Bryan, TX, 77807-3260, USA.
University of New Mexico · USTexas A&M Health Science Center · US

Funding

The effect of the COVID-19 pandemic on alcohol use and psycho-somatic health in pregnant and postpartum women with intersecting vulnerabilities.R01AA021771 · NIAAA · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI BAKHIREVA, LUDMILA NICOLE · 2013 to 2022
$6.5M
6/6 Planning for the HEALthy Early Development StudyR34DA050237 · NIDA · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI BAKHIREVA, LUDMILA NICOLE, LEEMAN, LAWRENCE M · 2019 to 2019
$542k
Epigenetic Markers for Neonatal Abstinence Syndrome: Mechanistic Insights from an Established Birth CohortR21HD090733 · NICHD · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI BAKHIREVA, LUDMILA NICOLE, MIRANDA, RAJESH C · 2018 to 2019
$426k
NIAAA NIH HHS AA021771NIAAA NIH HHS R01 AA021771NICHD NIH HHS R21 HD090733NICHD NIH HHS R21HD090733NIDA NIH HHS R34 DA050237NIDA NIH HHS R34DA050237
6 · The paper itself

Abstract

Prenatal opioid exposure (POE) is commonly associated with neonatal opioid withdrawal syndrome (NOWS), which is characterized by a broad variability in symptoms and severity. Currently there are no diagnostic tools to reliably predict which infants will develop severe NOWS, while risk stratification would allow for proactive decisions about appropriate clinical monitoring and interventions. The aim of this prospective cohort study was to assess if extracellular microRNAs (miRNAs) in umbilical cord plasma of infants with POE could predict NOWS severity. Participants (n = 58) consisted of pregnant women receiving medications for opioid use disorder and their infants. NOWS severity was operationalized as the need for pharmacologic treatment and prolonged hospitalization (≥ 14 days). Cord blood miRNAs were assessed using semi-quantitative qRT-PCR arrays. Receiver operating characteristic curves and area under the curve (AUC) were estimated. The expression of three miRNAs (miR-128-3p, miR-30c-5p, miR-421) predicted need for pharmacologic treatment (AUC: 0.85) and prolonged hospitalization (AUC: 0.90). Predictive validity improved after two miRNAs (let-7d-5p, miR-584-5p) were added to the need for pharmacologic treatment model (AUC: 0.94) and another two miRNAs (let-7b-5p, miR-10-5p) to the prolonged hospitalization model (AUC: 0.99). Infant cord blood extracellular miRNAs can proactively identify opioid-exposed neonates at high-risk for developing severe NOWS.

Indexed as

MicroRNAsNeonatal Abstinence SyndromeOpioid-Related DisordersSubstance Withdrawal SyndromeAnalgesics, OpioidFemaleHumansInfantInfant, NewbornPregnancyProspective StudiesAnalgesics, OpioidMicroRNAsMIRN421 microRNA, human

Identifiers

PMID35396369
PMCPMC8993911
OpenAlexW4223562300

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.