Literature DB >> 16341940

Impact of venlafaxine on gene expression profile in lymphocytes of the elderly with major depression--evolution of antidepressants and the role of the "neuro-immune" system.

János Kálmán1, András Palotás, Anna Juhász, Agnes Rimanóczy, Marietta Hugyecz, Zsuzsa Kovács, Gabriella Galsi, Zoltán Szabó, Magdolna Pákáski, Liliána Z Fehér, Zoltán Janka, László G Puskás.   

Abstract

Antidepressive drugs offer considerable symptomatic relief in mood disorders and, although commonly discovered by screening with single biological targets, most interact with multiple receptors and signaling pathways. Antidepressants require a treatment regimen of several weeks before clinical efficacy is achieved in patient populations. While the biochemical mechanisms underlying the delayed temporal profile remain unclear, molecular adaptations over time are likely involved. The selective serotonin and noradrenaline reuptake inhibitor, venlafaxine, offers a dual antidepressive action. Its pharmacological behavior, however, is unknown at the genetic level, and it is difficult to monitor in human brain samples. Because the hypothalamic-pituitary-adrenal axis is often severely disrupted in mood disorders, lymphocytes may serve as models of neuropsychiatric conditions. As such, we examined the role of venlafaxine on the gene expression profile of human lymphocytes. DNA microarray was used to measure the expression patterns of multiple genes in human lymphocytes from depressed patients treated with this mood stabilizer. In this self-controlled study, RNAs of control and treated samples were purified, converted into cDNA and labeled with either Cy3 or Cy5, mixed and hybridized to DNA microarrays containing human oligonucleotides corresponding to more than 8,000 genes. Genes that were differentially regulated in response to treatment were selected for follow up on the basis on novelty, gene identity, and level of over-expression/repression, and selected transcripts were profiled by real-time PCR (data have been normalized to beta-actin). Using software analysis of the microarray data, a number of transcripts were differentially expressed between control and treated samples, of which only 57 were found to significantly vary with the "P" value of 0.05 or lower as a result of exposure to venlafaxine. Of these, 31 genes were more highly expressed and 26 transcripts were found to be significantly less abundant. Most selected genes were verified with QRT-PCR to alter. As such, independent verification using QRT-PCR demonstrated the reliability of the method. Genes implicated in ionic homeostasis were differentially expressed, as were genes associated with cell survival, neural plasticity, signal transduction, and metabolism. Understanding how gene expression is altered over a clinically relevant time course of administration of venlafaxine may provide insight into the development of antidepressant efficacy as well as the underlying pathology of mood disorders. These changes in lymphocytes are thought to occur in the brain, and a "neuro-immune system" is proposed by this study.

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Year:  2005        PMID: 16341940     DOI: 10.1007/s11064-005-8513-9

Source DB:  PubMed          Journal:  Neurochem Res        ISSN: 0364-3190            Impact factor:   3.996


  26 in total

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2.  Low natural killer cytotoxicity in major depression.

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Review 3.  Noradrenergic sympathetic neural interactions with the immune system: structure and function.

Authors:  D L Felten; S Y Felten; D L Bellinger; S L Carlson; K D Ackerman; K S Madden; J A Olschowki; S Livnat
Journal:  Immunol Rev       Date:  1987-12       Impact factor: 12.988

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Authors:  E A Muth; J T Haskins; J A Moyer; G E Husbands; S T Nielsen; E B Sigg
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Review 8.  Depression and immunity: a meta-analytic review.

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Authors:  M Maes; E Bosmans; J Calabrese; R Smith; H Y Meltzer
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2.  Modulatory Effects of Antidepressant Classes on the Innate and Adaptive Immune System in Depression.

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3.  Gene expression biomarkers of response to citalopram treatment in major depressive disorder.

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6.  RNA expression profiling in depressed patients suggests retinoid-related orphan receptor alpha as a biomarker for antidepressant response.

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Review 7.  Depression pathogenesis and treatment: what can we learn from blood mRNA expression?

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8.  Dysregulation of leukocyte gene expression in women with medication-refractory depression versus healthy non-depressed controls.

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9.  Hippocampal gene expression in a rat model of depression after electroacupuncture at the Baihui and Yintang acupoints.

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