Evidence map›Paper›PMID 27869204›Full record

ArticleScientific reports2016

mRNA changes in nucleus accumbens related to methamphetamine addiction in mice.

Li Zhu, Jiaqi Li, Nan Dong, Fanglin Guan, Yufeng Liu, Dongliang Ma, Eyleen L K Goh, Teng Chen

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Role of microRNAs in the pathophysiology of addiction.Wiley interdisciplinary reviews. RNA · 2021
    Pooled it
  2. Article
  3. Alternative splicing in addiction.Current opinion in genetics & development · 2025
    Review
  4. The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  5. Review
  6. An update: epigenetic mechanisms underlying methamphetamine addiction.Frontiers in cell and developmental biology · 2024
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Differentially Expressed Genes inBiomolecules & therapeutics · 2022
    Article
  13. Review
  14. Noncoding RNA therapeutics for substance use disorder.Advances in drug and alcohol research · 2022
    Article
  15. Article
  16. Article
  17. Review
  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

8 authors.

Li ZhuCollege of Forensic Medicine, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, PR China.
Jiaqi LiCollege of Forensic Medicine, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, PR China.
Nan DongCollege of Forensic Medicine, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, PR China.
Fanglin GuanCollege of Forensic Medicine, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, PR China.
Yufeng LiuBeijing Genomics Institute, Shenzhen, 518083, PR China.
Dongliang MaNeuroscience Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857.
Eyleen L K GohNeuroscience Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857.
Teng ChenCollege of Forensic Medicine, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methamphetamine (METH) is a highly addictive psychostimulant that elicits aberrant changes in the expression of microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in the nucleus accumbens of mice, indicating a potential role of METH in post-transcriptional regulations. To decipher the potential consequences of these post-transcriptional regulations in response to METH, we performed strand-specific RNA sequencing (ssRNA-Seq) to identify alterations in mRNA expression and their alternative splicing in the nucleus accumbens of mice following exposure to METH. METH-mediated changes in mRNAs were analyzed and correlated with previously reported changes in non-coding RNAs (miRNAs and lncRNAs) to determine the potential functions of these mRNA changes observed here and how non-coding RNAs are involved. A total of 2171 mRNAs were differentially expressed in response to METH with functions involved in synaptic plasticity, mitochondrial energy metabolism and immune response. 309 and 589 of these mRNAs are potential targets of miRNAs and lncRNAs respectively. In addition, METH treatment decreases mRNA alternative splicing, and there are 818 METH-specific events not observed in saline-treated mice. Our results suggest that METH-mediated addiction could be attributed by changes in miRNAs and lncRNAs and consequently, changes in mRNA alternative splicing and expression. In conclusion, our study reported a methamphetamine-modified nucleus accumbens transcriptome and provided non-coding RNA-mRNA interaction networks possibly involved in METH addiction.

Indexed as

Alternative SplicingAmphetamine-Related DisordersAnimalsCentral Nervous System StimulantsDopamineDrug Administration ScheduleGene Expression RegulationGene OntologyMethamphetamineMiceMice, Inbred C57BLMicroRNAsMotor ActivityNeuronal PlasticityNucleus AccumbensRandom AllocationCentral Nervous System StimulantsDopamineMethamphetamineMicroRNAsRNA, Long NoncodingRNA, Messenger

Identifiers

PMID27869204
PMCPMC5116666

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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.