Evidence map›Paper›PMID 29427829›Full record

ArticleAlcohol (Fayetteville, N.Y.)2018

Alcohol-naïve USVs distinguish male HAD-1 from LAD-1 rat strains.

Nitish Mittal, Neha Thakore, James M Reno, Richard L Bell, W Todd Maddox, Timothy Schallert, Christine L Duvauchelle

Abstract read
In one paragraph

Article in Alcohol (Fayetteville, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

7 authors.

Nitish MittalThe University of Texas at Austin, College of Pharmacy, Division of Pharmacology and Toxicology, 2409 University Avenue, Stop A1915, Austin, TX 78712, United States; Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, 2500 Speedway, Stop A4800, Austin, TX 78712, United States.
Neha ThakoreThe University of Texas at Austin, College of Pharmacy, Division of Pharmacology and Toxicology, 2409 University Avenue, Stop A1915, Austin, TX 78712, United States; Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, 2500 Speedway, Stop A4800, Austin, TX 78712, United States.
James M RenoWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, 2500 Speedway, Stop A4800, Austin, TX 78712, United States; The University of Texas at Austin, Department of Psychology, Behavioral Neuroscience Division, 108 E. Dean Keeton, Stop A8000, Austin, TX 78712, United States.
Richard L BellInstitute of Psychiatric Research, Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN 46202, United States.
W Todd MaddoxCognitive Design and Statistical Consulting, Austin, TX 78746, United States.
Timothy SchallertWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, 2500 Speedway, Stop A4800, Austin, TX 78712, United States; The University of Texas at Austin, Department of Psychology, Behavioral Neuroscience Division, 108 E. Dean Keeton, Stop A8000, Austin, TX 78712, United States.
Christine L DuvauchelleThe University of Texas at Austin, College of Pharmacy, Division of Pharmacology and Toxicology, 2409 University Avenue, Stop A1915, Austin, TX 78712, United States; Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, 2500 Speedway, Stop A4800, Austin, TX 78712, United States. Electronic address: duvauchelle@mail.utexas.edu.

Funding

Translational Research and Science Education (OUT)P60AA007611 · NIAAA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI DAVID A. KAREKEN · 2003 to 2026
$45.5M
Integrative Neuroscience Initiative on Alcoholism - West - SupplementU01AA013517 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI ROBERTO, MARISA · 2001 to 2014
$12.7M
Neurochemical & Behavioral Correlates of ETOH EffectsT32AA007471 · NIAAA · UNIVERSITY OF TEXAS AUSTIN · PI Kimberly Nixon · 1987 to 2026
$9.2M
Rodents with Genetic Differences in Alcohol PreferenceR24AA015512 · NIAAA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI BELL, RICHARD LOWELL · 2005 to 2014
$5.1M
Rat Animal Models Core (RAMC)U01AA013522 · NIAAA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI BELL, RICHARD LOWELL · 2001 to 2014
$4.3M
Rodents with Genetic Differences in Alcohol PreferenceU24AA015512 · NIAAA · INDIANA UNIVERSITY INDIANAPOLIS · PI BELL, RICHARD LOWELL · 2015 to 2019
$2.7M
Rat Animal Models & Drug and Gene Testing Core (RAM-DGTC)U24AA013522 · NIAAA · INDIANA UNIVERSITY INDIANAPOLIS · PI BELL, RICHARD LOWELL · 2015 to 2021
$2.4M
Integrative Neuroscience Initiative on AlcoholismU24AA013517 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI ROBERTO, MARISA · 2015 to 2016
$1.5M
Cocaine &Brain: Progressive Changes in Behavior/DA/FosR01DA014640 · NIDA · UNIVERSITY OF TEXAS AUSTIN · PI DUVAUCHELLE, CHRISTINE LEILANI · 2003 to 2009
$1.3M
NIAAA NIH HHS P60 AA007611NIAAA NIH HHS R24 AA015512NIAAA NIH HHS T32 AA007471NIAAA NIH HHS U01 AA013517NIAAA NIH HHS U01 AA013522NIAAA NIH HHS U24 AA013517NIAAA NIH HHS U24 AA013522NIAAA NIH HHS U24 AA015512NIDA NIH HHS R01 DA014640
6 · The paper itself

Abstract

Ultrasonic vocalizations (USVs) are mediated through specific dopaminergic and cholinergic neural pathways and serve as real-time measures of positive and negative emotional status in rodents. Although most USV studies focus primarily on USV counts, each USV possesses a number of characteristics shown to reflect activity in the associated neurotransmitter system. In the present study, we recorded spontaneously emitted USVs from alcohol-naïve high alcohol drinking (HAD-1) and low alcohol drinking (LAD-1) rats. Using our recently developed WAAVES algorithm, we quantified four acoustic characteristics (mean frequency, duration, power, and bandwidth) from each 22-28 kHz and 50-55 kHz frequency-modulated (FM) USV. This rich USV representation allowed us to apply advanced statistical techniques to identify the USV acoustic characteristics that distinguished HAD-1 from LAD-1 rats. Linear mixed models (LMM) examined the predictability of each USV characteristic in isolation and linear discriminant analysis (LDA), and binomial logistic regression examined the predictability of linear combinations of the USV characteristics as a group. Results revealed significant differences in acoustic characteristics between HAD-1 and LAD-1 rats in both 22-28 kHz and 50-55 kHz FM USVs. In other words, these rats selectively bred for high- and low-alcohol consumption can be identified as HAD-1 or LAD-1 rats with high classification accuracy (approximately 92-100%) exclusively based on their emitted 22-28 kHz and 50-55 kHz FM USV acoustic characteristics. In addition, acoustic characteristics of 22-28 kHz and 50-55 kHz FM USVs emitted by alcohol-naïve HAD-1 and LAD-1 rats significantly correlate with their future alcohol consumption. Our current findings provide novel evidence that USV acoustic characteristics can be used to discriminate between alcohol-naïve HAD-1 and LAD-1 rats, and may serve as biomarkers in rodents with a predisposition for, or against, excessive alcohol intake.

Indexed as

Alcohol DrinkingAlcoholismAlgorithmsAnimalsBiomarkersCentral Nervous System DepressantsDiscriminant AnalysisEthanolLinear ModelsMaleRatsRats, Inbred StrainsReproducibility of ResultsSpecies SpecificityUltrasonicsVocalization, AnimalBiomarkersCentral Nervous System DepressantsEthanolAlcoholism biomarkerBinomial logistic regressionLinear discriminant analysisLinear mixed modelSelectively bred rats

Identifiers

PMID29427829
PMCPMC5851795

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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.