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Osacka J, Kiss A, Pirnik Z. Possible involvement of apoptosis in the antipsychotics side effects: A minireview. Clin Exp Pharmacol Physiol 2022; 49:836-847. [PMID: 35575958 DOI: 10.1111/1440-1681.13671] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 01/04/2022] [Accepted: 05/11/2022] [Indexed: 11/28/2022]
Abstract
Antipsychotics are used in the treatment of schizophrenia and other psychiatric disorders. Generally they are divided into typical and atypical ones, according to the fact that atypical antipychotics induce less side effects and are more effective in terms of social and cognitive improvements. Their pharmacological effects are mediated via broad range of receptors that consequently influence different cellular signaling pathways. Antipsychotics produce udesirable side effects that range from relatively minor to life-threatening ones. In vitro and in vivo studies have pointed to neurotoxic effect exerted by some antipsychotics and have shown that apoptosis might play role in some side effects induced by antipsyschotics, including tardive dyskinesia, weight gain, agranulocytosis, osteoporosis, myocarditis, etc. Although cumulative data have suggested safety of atypical antipsychotics use during pregnancy some of them have been shown to induce apoptotic neurodegenerative and structural changes in fetal brains with long-lasting impact on cognitive impairment of offsprings. Typical antipsychotics seem to be more cytotoxic than atypical ones. Recently, epidemiological studies have shown lower incidence of cancer in schizophrenic patients what suggest ability of antipsychotics to suppress risk of cancer development. Some antipsychotics have been reported to inhibit cancer cell proliferation and induce their apoptosis. Thus, antipsychotics apoptotic effect may be used as a tool in the treatmnet of some types of cancer, especially in combinatorial therapies. In this minireview, we focused on pro- and anti-apototic or "Dr. Jekyll and Mr. Hyde" effects of antipsychotics, which can be involved in their side effects, as well as their promising therapeutical indications. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Jana Osacka
- Biomedical Research Center, Slovak Academy of Sciences, Institute of Experimental Endocrinology, Dubravska cesta 9, Bratislava, Slovakia
| | - Alexander Kiss
- Biomedical Research Center, Slovak Academy of Sciences, Institute of Experimental Endocrinology, Dubravska cesta 9, Bratislava, Slovakia
| | - Zdenko Pirnik
- Biomedical Research Center, Slovak Academy of Sciences, Institute of Experimental Endocrinology, Dubravska cesta 9, Bratislava, Slovakia.,Institute of Physiology, Faculty of Medicine Comenius University in Bratislava, Sasinkova 2, Bratislava, Slovakia.,Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo nam., 2Prague, Czech Republic
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2
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Arasappan D, Eickhoff SB, Nemeroff CB, Hofmann HA, Jabbi M. Transcription Factor Motifs Associated with Anterior Insula Gene Expression Underlying Mood Disorder Phenotypes. Mol Neurobiol 2021; 58:1978-1989. [PMID: 33411239 DOI: 10.1007/s12035-020-02195-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 10/30/2020] [Indexed: 10/22/2022]
Abstract
Mood disorders represent a major cause of morbidity and mortality worldwide but the brain-related molecular pathophysiology in mood disorders remains largely undefined. Because the anterior insula is reduced in volume in patients with mood disorders, RNA was extracted from the anterior insula postmortem anterior insula of mood disorder samples and compared with unaffected controls for RNA-sequencing identification of differentially expressed genes (DEGs) in (a) bipolar disorder (BD; n = 37) versus (vs.) controls (n = 33), and (b) major depressive disorder (MDD n = 30) vs. controls, and (c) low vs. high axis I comorbidity (a measure of cumulative psychiatric disease burden). Given the regulatory role of transcription factors (TFs) in gene expression via specific-DNA-binding domains (motifs), we used JASPAR TF binding database to identify TF-motifs. We found that DEGs in BD vs. controls, MDD vs. controls, and high vs. low axis I comorbidity were associated with TF-motifs that are known to regulate expression of toll-like receptor genes, cellular homeostatic-control genes, and genes involved in embryonic, cellular/organ, and brain development. Robust imaging-guided transcriptomics by using meta-analytic imaging results to guide independent postmortem dissection for RNA-sequencing was applied by targeting the gray matter volume reduction in the anterior insula in mood disorders, to guide independent postmortem identification of TF motifs regulating DEG. Our findings of TF-motifs that regulate the expression of immune, cellular homeostatic-control, and developmental genes provide novel information about the hierarchical relationship between gene regulatory networks, the TFs that control them, and proximate underlying neuroanatomical phenotypes in mood disorders.
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Affiliation(s)
- Dhivya Arasappan
- Center for Biomedical Research Support, University of Texas at Austin, Austin, TX, USA
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany
| | - Charles B Nemeroff
- Department of Psychiatry, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- The Mulva Clinic for Neurosciences, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Institute of Early Life Adversity Research, Austin, TX, USA
| | - Hans A Hofmann
- Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA
- Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA
| | - Mbemba Jabbi
- Department of Psychiatry, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
- The Mulva Clinic for Neurosciences, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
- Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA.
- Department of Psychology, University of Texas at Austin, Austin, TX, USA.
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Ohayon S, Yitzhaky A, Hertzberg L. Gene expression meta-analysis reveals the up-regulation of CREB1 and CREBBP in Brodmann Area 10 of patients with schizophrenia. Psychiatry Res 2020; 292:113311. [PMID: 32712449 DOI: 10.1016/j.psychres.2020.113311] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 07/15/2020] [Accepted: 07/18/2020] [Indexed: 01/26/2023]
Abstract
Cognitive impairments characterize individuals with schizophrenia, and are correlated to the patients' functional outcome. The transcription factor Cyclic AMP-responsive element-binding protein-1 (CREB1) is involved in learning and memory processes. CREB1 and both CREB-binding protein (CREBBP) and E1A Binding Protein P300 (EP300), co-activators of CREB1, have been associated with schizophrenia. We performed a systematic meta-analysis of CREB1, CREBBP and EP300 differential expression in post mortem Brodmann Area 10 (BA10) samples of patients with schizophrenia vs. healthy controls, following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Two microarray datasets met the inclusion criteria (overall 41 schizophrenia samples and 38 controls were analyzed). We detect up-regulation of CREB1 and CREBBP in BA10 samples of patients with schizophrenia, while EP300 wasn't differentially expressed. The integration of two independent datasets and the positive correlation between the expression patterns of CREB1 and CREBBP increase the validity of the results. The up-regulation of CREB1 and its co-activator CREBBP might relate to BA10 altered activation that has been shown in schizophrenia. As BA10 was shown to be involved in the cognitive impairments associated with schizophrenia, this suggests involvement of CREB1 and CREBBP in the cognitive symptoms that characterize the disease.
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Affiliation(s)
- Shay Ohayon
- Department of Psychology, Bar-Ilan University, Ramat-Gan, Israel
| | - Assif Yitzhaky
- Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel.
| | - Libi Hertzberg
- Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel; Shalvata Mental Health Center, affiliated with the Sackler School of Medicine, Tel-Aviv University, 13 Aliat Hanoar St. Hod Hasharon 45100, Israel.
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Squassina A, Meloni A, Chillotti C, Pisanu C. Zinc finger proteins in psychiatric disorders and response to psychotropic medications. Psychiatr Genet 2019; 29:132-141. [PMID: 31464994 DOI: 10.1097/ypg.0000000000000231] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Zinc finger proteins are a large family of abundantly expressed small motifs that play a crucial role in a wide range of physiological and pathophysiological mechanisms. Findings published so far support an involvement of zinc fingers in psychiatric disorders. Most of the evidence has been provided for the zinc finger protein 804A (ZNF804A) gene, which has been suggested to be implicated in schizophrenia and bipolar disorder. This evidence has been corroborated by a wide range of functional studies showing that ZNF804A regulates the expression of genes involved in cell adhesion and plays a crucial role in neurite formation and maintenance of dendritic spines. On the other hand, far less is known on other zinc finger proteins and their involvement in psychiatric disorders. In this review, we discussed studies exploring the role of zinc finger proteins in schizophrenia, bipolar disorder, and major depressive disorder as well as in pharmacogenetics of psychotropic drugs.
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Affiliation(s)
- Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari Unit of Clinical Pharmacology, University Hospital of Cagliari, Cagliari, Italy Department of Psychiatry, Dalhousie University, Halifax, NS, Canada Department of Neuroscience, Unit of Functional Pharmacology, Uppsala University, Uppsala, Sweden
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Porcelli S, Lee SJ, Han C, Patkar AA, Albani D, Jun TY, Pae CU, Serretti A. Hot Genes in Schizophrenia: How Clinical Datasets Could Help to Refine their Role. J Mol Neurosci 2017; 64:273-286. [DOI: 10.1007/s12031-017-1016-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Accepted: 12/12/2017] [Indexed: 11/25/2022]
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Madsen MB, Kogelman LJA, Kadarmideen HN, Rasmussen HB. Systems genetics analysis of pharmacogenomics variation during antidepressant treatment. THE PHARMACOGENOMICS JOURNAL 2016; 18:144-152. [PMID: 27752142 DOI: 10.1038/tpj.2016.68] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Revised: 06/17/2016] [Accepted: 08/25/2016] [Indexed: 12/24/2022]
Abstract
Selective serotonin reuptake inhibitors (SSRIs) are the most widely used antidepressants, but the efficacy of the treatment varies significantly among individuals. It is believed that complex genetic mechanisms play a part in this variation. We have used a network based approach to unravel the involved genetic components. Moreover, we investigated the potential difference in the genetic interaction networks underlying SSRI treatment response over time. We found four hub genes (ASCC3, PPARGC1B, SCHIP1 and TMTC2) with different connectivity in the initial SSRI treatment period (baseline to week 4) compared with the subsequent period (4-8 weeks after initiation), suggesting that different genetic networks are important at different times during SSRI treatment. The strongest interactions in the initial SSRI treatment period involved genes encoding transcriptional factors, and in the subsequent period genes involved in calcium homeostasis. In conclusion, we suggest a difference in genetic interaction networks between initial and subsequent SSRI response.
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Affiliation(s)
- M B Madsen
- Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Capital Region of Denmark, Roskilde, Denmark.,iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark
| | - L J A Kogelman
- Department of Large Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - H N Kadarmideen
- Department of Large Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - H B Rasmussen
- Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Capital Region of Denmark, Roskilde, Denmark.,iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Denmark
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Wei Y, Bu S, Liu X, Li H. Association study of three single-nucleotide polymorphisms in the cyclic adenosine monophosphate response element binding 1 gene and major depressive disorder. Exp Ther Med 2015; 9:2235-2240. [PMID: 26136966 DOI: 10.3892/etm.2015.2408] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2014] [Accepted: 12/27/2014] [Indexed: 01/05/2023] Open
Abstract
Major depressive disorder is a common chronic emotional disorder, and cyclic adenosine monophosphate response element binding protein 1 (CREB1) is hypothesized to play a role in its pathogenesis. The aim of the present study was to investigate the associations between major depressive disorder and relevant single nucleotide polymorphisms (SNPs) in the CREB1 gene. A total of 1,038 subjects of Han Chinese descent were recruited, including 456 patients with major depressive disorder (case group) and 582 healthy volunteers (control group). The frequency distributions of the genotypes and alleles were estimated in the case and control groups, and analyzed for any correlation with major depressive disorder. Three relevant SNP sites in CREB1 were analyzed using quantitative polymerase chain reaction, and statistical analyses were performed to estimate their use as risk factors for major depressive disorder. The analyses revealed that rs2254137 and rs16839883 in CREB1 showed polymorphisms in the sample population, and the genotype and allele frequencies of rs16839883 differed significantly when comparing the patients and healthy controls (P<0.05). No statistically significant differences were detected in the two SNP sites between the male and female patients (P>0.05). Furthermore, no statistically significant differences were detected in rs2254137 genotype and allele distribution when comparing the male and female patients with their corresponding control groups (P>0.05). However, statistically significant differences were observed in the genotype and allele frequencies of rs16839883 when the male and female patients were compared with their respective controls (P<0.05). Therefore, the results demonstrated that there is a close correlation between the rs16839883 polymorphism in CREB1 and major depressive disorder, which suggests that this SNP site should be further studied as a potential biomarker for major depressive disorder.
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Affiliation(s)
- Yange Wei
- Department of Psychiatry, First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan 450052, P.R. China ; Department of Geriatric Neurology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan 450007, P.R. China
| | - Shufang Bu
- Department of Geriatric Neurology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan 450007, P.R. China
| | - Xican Liu
- Department of Geriatric Neurology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan 450007, P.R. China
| | - Hengfen Li
- Department of Psychiatry, First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan 450052, P.R. China
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