The effect of citalopram on gene expression profile of Alzheimer lymphocytes

Andrs Palots, Lszl G. Pusks, Klra Kitajka, Mikls Palots, Jzsef Molnr, Magdolna Pkski, Zoltn Janka, Botond Penke, Jnos Klmn

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25 Citations (Scopus)

Abstract

Antidepressants are widely used in the treatment of mood disorders associated with dementia, however little information is available on their effect at the molecular level. In certain neurodegenerative disorders, such as in Alzheimer's disease, lymphocytes have been used to assess mirror changes that thought to occur in the brain. Gene expression profiles of lymphocytes from Alzheimer patients have been shown to differ from that seen with controls. To address this issue in light of antidepressant treatment, we used lymphocytes derived from Alzheimer's disease patients and control individuals to assess the impact of the selective serotonine reuptake inhibitor citalopram on gene expression using a cDNA microarray representing 3200 distinct human genes. Sequences that are differentially regulated after treatment with citalopram were identified and categorized based on similarities in biological functions. This analysis revealed that the overexpression of genes in control and Alzheimer white blood cells by citalopram are implicated in cell survival. Apart from this, citalopram did not markedly alter genes involved in other molecular functions in control cells. In contrast, alteration of genes implicated in ionic currents, cell-adhesion, immune mechanism, and adrenergic functions, were also observed in Alzheimer lymphocytes. The expression of genes of Alzheimer lymphocytes by citalopram is modulated differently which may correlate with the pathology.

Original languageEnglish
Pages (from-to)1563-1570
Number of pages8
JournalNeurochemical research
Volume29
Issue number8
DOIs
Publication statusPublished - Aug 2004

Keywords

  • Alzheimers disease
  • antidepressant
  • citalopram
  • gene expression
  • lymphocyte
  • microarray

ASJC Scopus subject areas

  • Biochemistry
  • Cellular and Molecular Neuroscience

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