130
Views
12
CrossRef citations to date
0
Altmetric
Theme: Mood disorders - Review

Gene-expression studies in understanding the mechanism of action of lithium

, &
Pages 93-97 | Published online: 09 Jan 2014
 

Abstract

Lithium salts are among the drugs of choice for the treatment of bipolar disorder. Despite six decades of intensive research and an accumulating number of known cellular targets, lithium’s mechanism of action still needs to be unraveled. The evolution of large-scale gene-expression analysis methodologies has provided a promising tool to understand the cellular events underlying the mood-stabilizing effect of the drug. However, despite great improvement achieved in transcriptome studies, findings of genes differentially expressed by lithium treatment exhibit, so far, a low reproducibility rate. This review discusses the different design and data analysis strategies applied in the studies and summarizes the possible reasons for the discrepancies among the reports.

Financial & competing interests disclosure

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

No writing assistance was utilized in the production of this manuscript.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 99.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 651.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.