Evidence map›Paper›PMID 18704095›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2009

Evidence for selective microRNAs and their effectors as common long-term targets for the actions of mood stabilizers.

Rulun Zhou, Peixiong Yuan, Yun Wang, Joshua G Hunsberger, Abdel Elkahloun, Yanling Wei, Patricia Damschroder-Williams, Jing Du, Guang Chen, Husseini K Manji

Open access · bronzeAbstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
165citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 3% 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

165 citing papers in PubMed, 1 synthesis or guideline pooled it, 313 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Article
  7. The Regulatory Potential of Long Non-Coding RNAs in Bipolar Disorder.International journal of molecular sciences · 2026
    Review
  8. Article
  9. Review
  10. Article
  11. Pleiotropic Effects ofBiomolecules · 2025
    Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. Evaluation of MicroRNAs in Pediatric Epilepsy.Turkish archives of pediatrics · 2023
    Article

105 more citing papers are in PubMed but not listed here.

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

10 authors at 2 institutions in 1 country.

Rulun ZhouLaboratory of Molecular Pathophysiology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
Peixiong Yuan
Yun Wang
Joshua G Hunsberger
Abdel Elkahloun
Yanling Wei
Patricia Damschroder-Williams
Jing Du
Guang Chen
Husseini K Manji
National Institutes of Health · USNational Institute of Mental Health · US

Funding

NHGRI/DIR Genomics CoreZICHG200346 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI CHANDRASEKHARAPPA, SETTARA · 2010 to 2025
$14.5M
NHGRI/DIR Microarray CoreZICHG200365 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ELKAHLOUN, ABDEL · 2011 to 2025
$9.0M
Molecular regulators of mood and mood disordersZIAMH002921 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI HERKENHAM, MILES A. · 2009 to 2011
$1.0M
Intramural NIH HHS Z99 MH999999
6 · The paper itself

Abstract

MicroRNAs (miRNAs) regulate messenger RNA (mRNA) translation in a sequence-specific manner and are emerging as critical regulators of central nervous system plasticity. We found hippocampal miRNA level changes following chronic treatment with mood stabilizers (lithium and valproate (VPA)). Several of these miRNAs were then confirmed by quantitative PCR: let-7b, let-7c, miR-128a, miR-24a, miR-30c, miR-34a, miR-221, and miR-144. The predicted effectors of these miRNAs are involved in neurite outgrowth, neurogenesis, and signaling of PTEN, ERK, and Wnt/beta-catenin pathways. Interestingly, several of these effector-coding genes are also genetic risk candidates for bipolar disorder. We provide evidence that treatment with mood stabilizers increases these potential susceptibility genes in vivo: dipeptidyl-peptidase 10, metabotropic glutamate receptor 7 (GRM7), and thyroid hormone receptor, beta. Treatment of primary cultures with lithium- or VPA-lowered levels of miR-34a and elevated levels of GRM7, a predicted effector of miR-34a. Conversely, miR-34a precursor treatment lowered GRM7 levels and treatment with a miR-34a inhibitor enhanced GRM7 levels. These data confirm that endogenous miR-34a regulates GRM7 levels and supports the notion that miR-34a contributes to the effects of lithium and VPA on GRM7. These findings are the first to demonstrate that miRNAs and their predicted effectors are targets for the action of psychotherapeutic drugs.

Indexed as

Analysis of VarianceAnimalsAntimanic AgentsBlotting, WesternCells, CulturedDipeptidyl-Peptidases and Tripeptidyl-PeptidasesHippocampusLithium CompoundsMaleMicroarray AnalysisMicroRNAsNeuronsPolymerase Chain ReactionRatsRats, Inbred WKYReceptors, Metabotropic GlutamateAntimanic AgentsDipeptidyl-Peptidases and Tripeptidyl-PeptidasesDPP10 protein, ratLithium CompoundsMicroRNAsReceptors, Metabotropic GlutamateThyroid Hormone Receptors betaValproic Acid

Identifiers

PMID18704095
PMCPMC2669666
OpenAlexW1979405589

What OpenQuestion holds

Textmetadata
LicenceTDM
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.