Evidence map›Paper›PMID 39574631›Full record

ArticlebioRxiv : the preprint server for biology2024

The acoustic properties, syllable structure, and syllable sequences of ultrasonic vocalizations (USVs) during neonatal opioid withdrawal in FVB/N mouse substrains.

Kelly K Wingfield, Teodora Misic, Sophia A Miracle, Carly S McDermott, Kaahini Jain, Nalia M Abney, Kayla T Richardson, Mia B Rubman, Jacob A Beierle, Elisha M Wachman and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Kelly K WingfieldLaboratory of Addiction Genetics, Center for Drug Discovery, Department of Pharmaceutical Sciences, Northeastern University, Boston, MA USA.ORCID 0000-0002-9387-9063
Teodora MisicLaboratory of Addiction Genetics, Center for Drug Discovery, Department of Pharmaceutical Sciences, Northeastern University, Boston, MA USA.
Sophia A MiracleLaboratory of Addiction Genetics, Center for Drug Discovery, Department of Pharmaceutical Sciences, Northeastern University, Boston, MA USA.
Carly S McDermottLaboratory of Addiction Genetics, Center for Drug Discovery, Department of Pharmaceutical Sciences, Northeastern University, Boston, MA USA.
Kaahini JainLaboratory of Addiction Genetics, Center for Drug Discovery, Department of Pharmaceutical Sciences, Northeastern University, Boston, MA USA.
Nalia M AbneyLaboratory of Addiction Genetics, Center for Drug Discovery, Department of Pharmaceutical Sciences, Northeastern University, Boston, MA USA.
Kayla T RichardsonLaboratory of Addiction Genetics, Center for Drug Discovery, Department of Pharmaceutical Sciences, Northeastern University, Boston, MA USA.
Mia B RubmanNIH/NIDA Summer Undergraduate Fellowship Program.
Jacob A BeierleT32 Biomolecular Pharmacology Training Program, Boston University Chobanian & Avedisian School of Medicine, Boston, MA USA.ORCID 0000-0001-6517-7614
Elisha M WachmanDepartment of Pediatrics, Boston University Chobanian & Avedisian School of Medicine, Boston Medical Center, Boston MA USA.
Camron D BryantLaboratory of Addiction Genetics, Center for Drug Discovery, Department of Pharmaceutical Sciences, Northeastern University, Boston, MA USA.

Funding

A Reduced Complexity Cross in BALB/c substrains to identify the genetic basis of oxycodone dependence phenotypesU01DA050243 · NIDA · NORTHEASTERN UNIVERSITY · PI BRYANT, CAMRON D · 2020 to 2023
$3.3M
Systems genetics of premorbid and cocaine use traits in a rat reduced complexity crossU01DA055299 · NIDA · NORTHEASTERN UNIVERSITY · PI BRYANT, CAMRON D, KANTAK, KATHLEEN M. · 2022 to 2025
$2.8M
NIDA NIH HHS U01 DA050243NIDA NIH HHS U01 DA055299
6 · The paper itself

Abstract

Concomitant with the opioid epidemic, there has been a rise in pregnant women diagnosed with opioid use disorder and cases of infants born with neonatal opioid withdrawal syndrome (NOWS). NOWS refers to signs and symptoms following cessation of prenatal opioid exposure that comprise neurological, gastrointestinal, and autonomic system dysfunction. A critical indicator of NOWS severity is excessive, high-pitched crying. However, NOWS evaluation is, in large part, subjective, and additional cry features may not be easily recognized during clinical assessment. Thus, there is a need for more objective measures to determine NOWS severity. We used a third trimester-approximate opioid exposure paradigm to model NOWS traits in genetically similar inbred substrains of FVB/N mice (NJ, NCrl, NHsd, and NTac). Pups were injected twice daily from postnatal day 1 (P1) to P14 with morphine (10 mg/kg, s.c.) or saline (20 ml/g, s.c.). Because there were only very minor substrain differences in spontaneous withdrawal-induced ultrasonic vocalization (USV) profiles, we collapsed across substrains to evaluate the effects of morphine withdrawal on additional USV properties. We identified syllable sequences unique to morphine-withdrawn and saline-control FVB/N pups on P7 and P14. We also observed an effect of spontaneous morphine withdrawal on the acoustic properties of USVs and specific syllables on P7 and P14. Multiple withdrawal traits correlated with some acoustic properties of USVs and syllable type emission in morphine-withdrawn FVB/N pups on P7 and P14. These data provide an in-depth investigation of mouse USV syllable profiles and acoustic features during spontaneous neonatal opioid withdrawal in mice.

Indexed as

emotional-affective withdrawalmorphinemouse substrainsneonatal opioid withdrawal syndromespectrotemporal profileultrasonic vocalizations

Identifiers

PMID39574631
PMCPMC11580921

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.