Evidence map›Paper›PMID 29315347›Full record

ArticlePloS one2018

Long-term ethanol exposure: Temporal pattern of microRNA expression and associated mRNA gene networks in mouse brain.

Elizabeth A Osterndorff-Kahanek, Gayatri R Tiwari, Marcelo F Lopez, Howard C Becker, R Adron Harris, R Dayne Mayfield

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

27 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Molecular mechanisms of alcohol's effects on the human body: A review and update.Journal of biochemical and molecular toxicology · 2023
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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.

Elizabeth A Osterndorff-KahanekWaggoner Center for Alcohol and Addiction Research, University of Texas at Austin, Austin, Texas, United States of America.ORCID 0000-0002-9012-137X
Gayatri R TiwariWaggoner Center for Alcohol and Addiction Research, University of Texas at Austin, Austin, Texas, United States of America.
Marcelo F LopezDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, United States of America.
Howard C BeckerDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, United States of America.
R Adron HarrisWaggoner Center for Alcohol and Addiction Research, University of Texas at Austin, Austin, Texas, United States of America.
R Dayne MayfieldWaggoner Center for Alcohol and Addiction Research, University of Texas at Austin, Austin, Texas, United States of America.
The University of Texas at Austin · USMedical University of South Carolina · US

Funding

TREATING ETHANOL WITHDRAWAL WITH LORAZEPAM/NALTREXONEP50AA010761 · NIAAA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI HOWARD C. BECKER · 1996 to 2026
$46.8M
GENE EXPRESSION IN THE HUMAN ALCOHOLIC BRAINR01AA012404 · NIAAA · UNIVERSITY OF TEXAS AUSTIN · PI MAYFIELD, ROY DAYNE · 2000 to 2025
$10.7M
Ethanol Dependence &Stress Effects on Ethanol DrinkingU01AA014095 · NIAAA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI HOWARD C. BECKER · 2003 to 2026
$9.0M
Next Generation Sequencing of Human Alcoholic BrainU01AA020926 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI Roy DAYNE MAYFIELD · 2011 to 2026
$6.7M
Novel molecular and cellular approaches for alcoholism medication developmentP01AA020683 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI MIHIC, S JOHN · 2012 to 2016
$3.3M
Mouse Chronic Intermittent Ethanol (CIE) CoreU01AA020929 · NIAAA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI LOPEZ, MARCELO F. · 2012 to 2015
$1.5M
Mouse Chronic Intermittent Ethanol (CIE) CoreU24AA020929 · NIAAA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI LOPEZ, MARCELO F. · 2016 to 2021
$1.1M
Role of BDNF in Stress Effects on Ethanol Dependence-Induced Escalated DrinkingI01BX000813 · VA · RALPH H JOHNSON VA MEDICAL CENTER · PI BECKER, HOWARD C. · 2011 to 2024
–
BLRD VA I01 BX000813NIAAA NIH HHS P01 AA020683NIAAA NIH HHS P50 AA010761NIAAA NIH HHS R01 AA012404NIAAA NIH HHS U01 AA014095NIAAA NIH HHS U01 AA020926NIAAA NIH HHS U01 AA020929NIAAA NIH HHS U24 AA020929NIH HHS AA010761NIH HHS AA012404NIH HHS AA014095NIH HHS AA020683NIH HHS AA020926NIH HHS AA020929
6 · The paper itself

Abstract

Long-term alcohol use can result in lasting changes in brain function, ultimately leading to alcohol dependence. These functional alterations arise from dysregulation of complex gene networks, and growing evidence implicates microRNAs as key regulators of these networks. We examined time- and brain region-dependent changes in microRNA expression after chronic intermittent ethanol (CIE) exposure in C57BL/6J mice. Animals were sacrificed at 0, 8, and 120h following the last exposure to four weekly cycles of CIE vapor and we measured microRNA expression in prefrontal cortex (PFC), nucleus accumbens (NAC), and amygdala (AMY). The number of detected (395-419) and differentially expressed (DE, 42-47) microRNAs was similar within each brain region. However, the DE microRNAs were distinct among brain regions and across time within each brain region. DE microRNAs were linked with their DE mRNA targets across each brain region. In all brain regions, the greatest number of DE mRNA targets occurred at the 0 or 8h time points and these changes were associated with microRNAs DE at 0 or 8h. Two separate approaches (discrete temporal association and hierarchical clustering) were combined with pathway analysis to further characterize the temporal relationships between DE microRNAs and their 120h DE targets. We focused on targets dysregulated at 120h as this time point represents a state of protracted withdrawal known to promote an increase in subsequent ethanol consumption. Discrete temporal association analysis identified networks with highly connected genes including ERK1/2 (mouse equivalent Mapk3, Mapk1), Bcl2 (in AMY networks) and Srf (in PFC networks). Similarly, the cluster-based analysis identified hub genes that include Bcl2 (in AMY networks) and Srf in PFC networks, demonstrating robust microRNA-mRNA network alterations in response to CIE exposure. In contrast, datasets utilizing targets from 0 and 8h microRNAs identified NF-kB-centered networks (in NAC and PFC), and Smad3-centered networks (in AMY). These results demonstrate that CIE exposure results in dynamic and complex temporal changes in microRNA-mRNA gene network structure.

Indexed as

Gene Regulatory NetworksAnimalsBrainCluster AnalysisEthanolMaleMiceMice, Inbred C57BLMicroRNAsRNA, MessengerEthanolMicroRNAsRNA, Messenger

Identifiers

PMID29315347
PMCPMC5760035
OpenAlexW2783274477

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.