3 research outputs found

    Expression of <i>HDAC2</i> but Not <i>HDAC1</i> Transcript Is Reduced in Dorsolateral Prefrontal Cortex of Patients with Schizophrenia

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    Postmortem brain studies support dysregulated expression of the histone deacetylase enzymes, HDAC1 and HDAC2, as a central feature in diseases including schizophrenia, bipolar disorder, and depression. Our objective was to investigate HDAC expression in a large postmortem sample set representing healthy and disease brains. We used >700 well-characterized samples from patients diagnosed with schizophrenia (<i>n</i> = 175), major depressive disorder (<i>n</i> = 135), and bipolar disorder (<i>n</i> = 61) to measure <i>HDAC1</i> and <i>HDAC2</i> transcript levels by quantitative real-time PCR in dorsolateral prefrontal cortex (DLPFC) and caudate compared to control samples. <i>HDAC</i> expression was calculated relative to the geometric mean of β-2-microglobulin, β-glucuronidase, and β-actin. In adult-age DLPFC, <i>HDAC2</i> was decreased by 34% in schizophrenia samples compared to controls (<i>p</i> < 10<sup>–4</sup>). <i>HDAC2</i> was significantly upregulated in major depressive disorder samples by 17% versus controls (<i>p</i> = 0.002). Neither smoking history nor therapeutic drugs impacted <i>HDAC2</i> levels and no <i>HDAC1</i> patient-control differences were observed. In caudate, <i>HDAC</i> levels were unchanged between patient and control groups. In control DLPFC, age fetal week 14 to 97 years (<i>n</i> = 326), both <i>HDAC1</i> and <i>HDAC2</i> levels sharply declined around birth and stabilized thereafter. Using by far the largest postmortem sample set on this topic, our major finding (decreased <i>HDAC2</i> transcript) showed notable specificity in disease (schizophrenia but not major depressive disorder), HDAC subtype (<i>HDAC2</i> but not <i>HDAC1</i>) and brain region (DLPFC but not caudate). These differences shape understanding of regional components of neural circuitry in the diseased brain and set a benchmark to quantify HDAC density and distribution using in vivo neuroimaging tools
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