1
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Casey C, Fullard JF, Sleator RD. Unravelling the genetic basis of Schizophrenia. Gene 2024; 902:148198. [PMID: 38266791 DOI: 10.1016/j.gene.2024.148198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 12/07/2023] [Accepted: 01/19/2024] [Indexed: 01/26/2024]
Abstract
Neuronal development is a highly regulated mechanism that is central to organismal function in animals. In humans, disruptions to this process can lead to a range of neurodevelopmental phenotypes, including Schizophrenia (SCZ). SCZ has a significant genetic component, whereby an individual with an SCZ affected family member is eight times more likely to develop the disease than someone with no family history of SCZ. By examining a combination of genomic, transcriptomic and epigenomic datasets, large-scale 'omics' studies aim to delineate the relationship between genetic variation and abnormal cellular activity in the SCZ brain. Herein, we provide a brief overview of some of the key omics methods currently being used in SCZ research, including RNA-seq, the assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq) and high-throughput chromosome conformation capture (3C) approaches (e.g., Hi-C), as well as single-cell/nuclei iterations of these methods. We also discuss how these techniques are being employed to further our understanding of the genetic basis of SCZ, and to identify associated molecular pathways, biomarkers, and candidate drug targets.
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Affiliation(s)
- Clara Casey
- Department of Biological Sciences, Munster Technological University, Bishopstown, Cork, Ireland; Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States
| | - John F Fullard
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States
| | - Roy D Sleator
- Department of Biological Sciences, Munster Technological University, Bishopstown, Cork, Ireland.
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2
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Cao T, Zhang S, Chen Q, Zeng C, Wang L, Jiao S, Chen H, Zhang B, Cai H. Long non-coding RNAs in schizophrenia: Genetic variations, treatment markers and potential targeted signaling pathways. Schizophr Res 2023; 260:12-22. [PMID: 37543007 DOI: 10.1016/j.schres.2023.07.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/19/2023] [Accepted: 07/23/2023] [Indexed: 08/07/2023]
Abstract
Schizophrenia (SZ), a complex and debilitating spectrum of psychiatric disorders, is now mainly attributed to multifactorial etiology that includes genetic and environmental factors. Long non-coding RNAs (lncRNAs) are gaining popularity as a way to better understand the comprehensive mechanisms beneath the clinical manifestation of SZ. Only in recent years has it been elucidated that mammalian genomes encode thousands of lncRNAs. Strikingly, roughly 30-40% of these lncRNAs are extensively expressed in different regions across the brain, which may be closely associated with SZ. The therapeutic and adverse effects of atypical antipsychotic drugs (AAPDs) are partially reflected by their role in the regulation of lncRNAs. This begs the question directly, do any lncRNAs exist as biomarkers for AAPDs treatment? Furthermore, we comprehend a range of mechanistic investigations that have revealed the regulatory roles for lncRNAs both involved in the brain and the periphery of SZ. More crucially, we also combine insights from a variety of signaling pathways to argue that lncRNAs probably play critical roles in SZ via their interactive downstream factors. This review provides a thorough understanding regarding dysregulation of lncRNAs, corresponding genetic alternations, as well as their potential regulatory roles in the pathology of SZ, which might help reveal useful therapeutic targets in SZ.
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Affiliation(s)
- Ting Cao
- Department of Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Institute of Clinical Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, China
| | - ShuangYang Zhang
- Department of Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Institute of Clinical Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Qian Chen
- Department of Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Institute of Clinical Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - CuiRong Zeng
- Department of Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Institute of Clinical Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - LiWei Wang
- Department of Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Institute of Clinical Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - ShiMeng Jiao
- Department of Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Institute of Clinical Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Hui Chen
- Department of Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Institute of Clinical Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, China
| | - BiKui Zhang
- Department of Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Institute of Clinical Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
| | - HuaLin Cai
- Department of Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Institute of Clinical Pharmacy, Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
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3
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Tokunaga M, Imamura T. Emerging concepts involving inhibitory and activating RNA functionalization towards the understanding of microcephaly phenotypes and brain diseases in humans. Front Cell Dev Biol 2023; 11:1168072. [PMID: 37408531 PMCID: PMC10318543 DOI: 10.3389/fcell.2023.1168072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 06/12/2023] [Indexed: 07/07/2023] Open
Abstract
Microcephaly is characterized as a small head circumference, and is often accompanied by developmental disorders. Several candidate risk genes for this disease have been described, and mutations in non-coding regions are occasionally found in patients with microcephaly. Various non-coding RNAs (ncRNAs), such as microRNAs (miRNAs), SINEUPs, telomerase RNA component (TERC), and promoter-associated lncRNAs (pancRNAs) are now being characterized. These ncRNAs regulate gene expression, enzyme activity, telomere length, and chromatin structure through RNA binding proteins (RBPs)-RNA interaction. Elucidating the potential roles of ncRNA-protein coordination in microcephaly pathogenesis might contribute to its prevention or recovery. Here, we introduce several syndromes whose clinical features include microcephaly. In particular, we focus on syndromes for which ncRNAs or genes that interact with ncRNAs may play roles. We discuss the possibility that the huge ncRNA field will provide possible new therapeutic approaches for microcephaly and also reveal clues about the factors enabling the evolutionary acquisition of the human-specific "large brain."
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4
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Micale V, Di Bartolomeo M, Di Martino S, Stark T, Dell'Osso B, Drago F, D'Addario C. Are the epigenetic changes predictive of therapeutic efficacy for psychiatric disorders? A translational approach towards novel drug targets. Pharmacol Ther 2023; 241:108279. [PMID: 36103902 DOI: 10.1016/j.pharmthera.2022.108279] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 09/01/2022] [Accepted: 09/01/2022] [Indexed: 02/06/2023]
Abstract
The etiopathogenesis of mental disorders is not fully understood and accumulating evidence support that clinical symptomatology cannot be assigned to a single gene mutation, but it involves several genetic factors. More specifically, a tight association between genes and environmental risk factors, which could be mediated by epigenetic mechanisms, may play a role in the development of mental disorders. Several data suggest that epigenetic modifications such as DNA methylation, post-translational histone modification and interference of microRNA (miRNA) or long non-coding RNA (lncRNA) may modify the severity of the disease and the outcome of the therapy. Indeed, the study of these mechanisms may help to identify patients particularly vulnerable to mental disorders and may have potential utility as biomarkers to facilitate diagnosis and treatment of psychiatric disorders. This article summarizes the most relevant preclinical and human data showing how epigenetic modifications can be central to the therapeutic efficacy of antidepressant and/or antipsychotic agents, as possible predictor of drugs response.
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Affiliation(s)
- Vincenzo Micale
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, Catania, Italy.
| | - Martina Di Bartolomeo
- Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy
| | - Serena Di Martino
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, Catania, Italy
| | - Tibor Stark
- Department of Pharmacology, Faculty of Medicine, Masaryk University, Brno, Czech Republic; Scientific Core Unit Neuroimaging, Max Planck Institute of Psychiatry, Munich, Germany
| | - Bernardo Dell'Osso
- Department of Biomedical and Clinical Sciences 'Luigi Sacco', University of Milan, Milan, Italy, Department of Mental Health, ASST Fatebenefratelli-Sacco, Milan, Italy; "Aldo Ravelli" Research Center for Neurotechnology and Experimental Brain Therapeutics, Department of Health Sciences, University of Milan Medical School, Milan, Italy; Department of Psychiatry and Behavioral Sciences, Stanford University, CA, USA
| | - Filippo Drago
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, Catania, Italy.
| | - Claudio D'Addario
- Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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5
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Zakutansky PM, Feng Y. The Long Non-Coding RNA GOMAFU in Schizophrenia: Function, Disease Risk, and Beyond. Cells 2022; 11:1949. [PMID: 35741078 PMCID: PMC9221589 DOI: 10.3390/cells11121949] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 06/10/2022] [Accepted: 06/14/2022] [Indexed: 02/05/2023] Open
Abstract
Neuropsychiatric diseases are among the most common brain developmental disorders, represented by schizophrenia (SZ). The complex multifactorial etiology of SZ remains poorly understood, which reflects genetic vulnerabilities and environmental risks that affect numerous genes and biological pathways. Besides the dysregulation of protein-coding genes, recent discoveries demonstrate that abnormalities associated with non-coding RNAs, including microRNAs and long non-coding RNAs (lncRNAs), also contribute to the pathogenesis of SZ. lncRNAs are an actively evolving family of non-coding RNAs that harbor greater than 200 nucleotides but do not encode for proteins. In general, lncRNA genes are poorly conserved. The large number of lncRNAs specifically expressed in the human brain, together with the genetic alterations and dysregulation of lncRNA genes in the SZ brain, suggests a critical role in normal cognitive function and the pathogenesis of neuropsychiatric diseases. A particular lncRNA of interest is GOMAFU, also known as MIAT and RNCR2. Growing evidence suggests the function of GOMAFU in governing neuronal development and its potential roles as a risk factor and biomarker for SZ, which will be reviewed in this article. Moreover, we discuss the potential mechanisms through which GOMAFU regulates molecular pathways, including its subcellular localization and interaction with RNA-binding proteins, and how interruption to GOMAFU pathways may contribute to the pathogenesis of SZ.
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Affiliation(s)
- Paul M. Zakutansky
- Graduate Program in Biochemistry, Cell and Developmental Biology, Emory University, Atlanta, GA 30322, USA;
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Yue Feng
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA 30322, USA
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6
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Guo C, Li J, Guo M, Bai R, Lei G, Sun H, Tong S, He K, He L. Aberrant expressions of MIAT and PVT1 in serum exosomes of schizophrenia patients. Schizophr Res 2022; 240:71-72. [PMID: 34959074 DOI: 10.1016/j.schres.2021.12.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 11/25/2021] [Accepted: 12/09/2021] [Indexed: 11/26/2022]
Affiliation(s)
- Chuang Guo
- College of Life Sciences and food Engineering, Inner Mongolia Minzu University, Tongliao, China
| | - Jingbo Li
- Maternal and Child Health Hospital of Horqin District, Tongliao, China
| | - Meng Guo
- Inner Mongolia Minzu University, Tongliao, China
| | - Ren Bai
- Tongliao City Hospital, Tongliao, China
| | - Guifang Lei
- Tongliao Institute of Mental Health, Tongliao, China
| | - Hongjun Sun
- Tongliao Institute of Mental Health, Tongliao, China
| | - Shuping Tong
- Affiliated Hospital of Inner Mongolia Minzu University, Tongliao, China
| | - Kuanjun He
- College of Life Sciences and food Engineering, Inner Mongolia Minzu University, Tongliao, China.
| | - Lin He
- Bio-X Institute, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, P.R. China; Institute of Neuropsychiatric Science and Systems Biological Medicine, Shanghai Jiao Tong University, Shanghai 200042, P.R. China.
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7
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Merikangas AK, Shelly M, Knighton A, Kotler N, Tanenbaum N, Almasy L. What genes are differentially expressed in individuals with schizophrenia? A systematic review. Mol Psychiatry 2022; 27:1373-1383. [PMID: 35091668 PMCID: PMC9095490 DOI: 10.1038/s41380-021-01420-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 11/17/2021] [Accepted: 12/01/2021] [Indexed: 11/15/2022]
Abstract
Schizophrenia is a severe, complex mental disorder characterized by a combination of positive symptoms, negative symptoms, and impaired cognitive function. Schizophrenia is highly heritable (~80%) with multifactorial etiology and complex polygenic genetic architecture. Despite the large number of genetic variants associated with schizophrenia, few causal variants have been established. Gaining insight into the mechanistic influences of these genetic variants may facilitate our ability to apply these findings to prevention and treatment. Though there have been more than 300 studies of gene expression in schizophrenia over the past 15 years, none of the studies have yielded consistent evidence for specific genes that contribute to schizophrenia risk. The aim of this work is to conduct a systematic review and synthesis of case-control studies of genome-wide gene expression in schizophrenia. Comprehensive literature searches were completed in PubMed, EmBase, and Web of Science, and after a systematic review of the studies, data were extracted from those that met the following inclusion criteria: human case-control studies comparing the genome-wide transcriptome of individuals diagnosed with schizophrenia to healthy controls published between January 1, 2000 and June 30, 2020 in the English language. Genes differentially expressed in cases were extracted from these studies, and overlapping genes were compared to previous research findings from the genome-wide association, structural variation, and tissue-expression studies. The transcriptome-wide analysis identified different genes than those previously reported in genome-wide association, exome sequencing, and structural variation studies of schizophrenia. Only one gene, GBP2, was replicated in five studies. Previous work has shown that this gene may play a role in immune function in the etiology of schizophrenia, which in turn could have implications for risk profiling, prevention, and treatment. This review highlights the methodological inconsistencies that impede valid meta-analyses and synthesis across studies. Standardization of the use of covariates, gene nomenclature, and methods for reporting results could enhance our understanding of the potential mechanisms through which genes exert their influence on the etiology of schizophrenia. Although these results are promising, collaborative efforts with harmonization of methodology will facilitate the identification of the role of genes underlying schizophrenia.
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Affiliation(s)
- Alison K. Merikangas
- grid.239552.a0000 0001 0680 8770Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Lifespan Brain Institute, Children’s Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA
| | - Matthew Shelly
- grid.239552.a0000 0001 0680 8770Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA USA ,grid.268256.d0000 0000 8510 1943Department of Biology, College of Science and Engineering, Wilkes University, Wilkes-Barre, PA USA
| | - Alexys Knighton
- grid.25879.310000 0004 1936 8972Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA
| | - Nicholas Kotler
- grid.25879.310000 0004 1936 8972Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA
| | - Nicole Tanenbaum
- grid.25879.310000 0004 1936 8972Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA
| | - Laura Almasy
- grid.239552.a0000 0001 0680 8770Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Lifespan Brain Institute, Children’s Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA
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8
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Wu G, Du X, Li Z, Du Y, Lv J, Li X, Xu Y, Liu S. The emerging role of long non-coding RNAs in schizophrenia. Front Psychiatry 2022; 13:995956. [PMID: 36226104 PMCID: PMC9548578 DOI: 10.3389/fpsyt.2022.995956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 09/06/2022] [Indexed: 11/13/2022] Open
Abstract
Schizophrenia (SZ) is a severe psychiatric disorder which is contributed by both genetic and environmental factors. However, at present, its specific pathogenesis is still not very clear, and there is a lack of objective and reliable biomarkers. Accumulating evidence indicates that long non-coding RNAs (lncRNAs) are involved in the pathophysiology of several psychiatric disorders, including SZ, and hold promise as potential biomarkers and therapeutic targets for psychiatric disorders. In this review, we summarize and discuss the role of lncRNAs in the pathogenesis of SZ and their potential value as biomarkers and therapeutic targets.
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Affiliation(s)
- Guangxian Wu
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Physiology, School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, China
| | - Xinzhe Du
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Zexuan Li
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Yanhong Du
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Jinzhi Lv
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Physiology, School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, China
| | - Xinrong Li
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Yong Xu
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Mental Health, Shanxi Medical University, Taiyuan, China
| | - Sha Liu
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
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9
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Wagh VV, Vyas P, Agrawal S, Pachpor TA, Paralikar V, Khare SP. Peripheral Blood-Based Gene Expression Studies in Schizophrenia: A Systematic Review. Front Genet 2021; 12:736483. [PMID: 34721526 PMCID: PMC8548640 DOI: 10.3389/fgene.2021.736483] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 08/31/2021] [Indexed: 12/19/2022] Open
Abstract
Schizophrenia is a disorder that is characterized by delusions, hallucinations, disorganized speech or behavior, and socio-occupational impairment. The duration of observation and variability in symptoms can make the accurate diagnosis difficult. Identification of biomarkers for schizophrenia (SCZ) can help in early diagnosis, ascertaining the diagnosis, and development of effective treatment strategies. Here we review peripheral blood-based gene expression studies for identification of gene expression biomarkers for SCZ. A literature search was carried out in PubMed and Web of Science databases for blood-based gene expression studies in SCZ. A list of differentially expressed genes (DEGs) was compiled and analyzed for overlap with genetic markers, differences based on drug status of the participants, functional enrichment, and for effect of antipsychotics. This literature survey identified 61 gene expression studies. Seventeen out of these studies were based on expression microarrays. A comparative analysis of the DEGs (n = 227) from microarray studies revealed differences between drug-naive and drug-treated SCZ participants. We found that of the 227 DEGs, 11 genes (ACOT7, AGO2, DISC1, LDB1, RUNX3, SIGIRR, SLC18A1, NRG1, CHRNB2, PRKAB2, and ZNF74) also showed genetic and epigenetic changes associated with SCZ. Functional enrichment analysis of the DEGs revealed dysregulation of proline and 4-hydroxyproline metabolism. Also, arginine and proline metabolism was the most functionally enriched pathway for SCZ in our analysis. Follow-up studies identified effect of antipsychotic treatment on peripheral blood gene expression. Of the 27 genes compiled from the follow-up studies AKT1, DISC1, HP, and EIF2D had no effect on their expression status as a result of antipsychotic treatment. Despite the differences in the nature of the study, ethnicity of the population, and the gene expression analysis method used, we identified several coherent observations. An overlap, though limited, of genetic, epigenetic and gene expression changes supports interplay of genetic and environmental factors in SCZ. The studies validate the use of blood as a surrogate tissue for biomarker analysis. We conclude that well-designed cohort studies across diverse populations, use of high-throughput sequencing technology, and use of artificial intelligence (AI) based computational analysis will significantly improve our understanding and diagnostic capabilities for this complex disorder.
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Affiliation(s)
- Vipul Vilas Wagh
- Symbiosis School of Biological Sciences, Symbiosis International (Deemed University), Pune, India
| | - Parin Vyas
- Symbiosis School of Biological Sciences, Symbiosis International (Deemed University), Pune, India
| | - Suchita Agrawal
- The Psychiatry Unit, KEM Hospital and KEM Hospital Research Centre, Pune, India
| | | | - Vasudeo Paralikar
- The Psychiatry Unit, KEM Hospital and KEM Hospital Research Centre, Pune, India
| | - Satyajeet P Khare
- Symbiosis School of Biological Sciences, Symbiosis International (Deemed University), Pune, India
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10
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Badrlou E, Ghafouri-Fard S, Omrani MD, Neishabouri SM, Arsang-Jang S, Taheri M, Pouresmaeili F. Expression of BDNF-Associated lncRNAs in Treatment-Resistant Schizophrenia Patients. J Mol Neurosci 2021; 71:2249-2259. [PMID: 33403596 DOI: 10.1007/s12031-020-01772-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 12/07/2020] [Indexed: 11/29/2022]
Abstract
Long non-coding RNAs (lncRNAs) play a decisive role in the development of the central nervous system and modulation, differentiation, and function of neurons. Thus, any abnormal pattern of expression of these transcripts might alter normal development leading to neuropsychiatric disorders. In this regard, transcripts of brain-derived neurotrophic factor (BDNF) and four BDNF-associated lncRNAs (BDNF-AS, MIR137HG, MIAT, and PNKY) were evaluated in the peripheral blood of schizophrenia (SCZ) patients as well as normal subjects. The results indicated that the relative expression (RE) of PNKY was higher in SCZ patients as compared with controls (posterior beta of RE = 2.605, P value = 0.006) and in female patients compared with female controls (posterior beta of RE = 2.831, P value < 0.0001). BDNF expression was also higher in SCZ patients when compared with controls (posterior beta of RE = 0.64, P value < 0.036). Finally, a correlation was detected between the disease status and gender in terms of BDNF-AS expression (P value = 0.026). An inverse correlation was also found between levels of PNKY and age in the control group (r = - 0.30, P value < 0.0001). Expressions of BDNF and all lncRNAs were correlated with each other in both patients and controls. PNKY had the best diagnostic power among all assessed genes in the identification of disease status (area under curve = 0.78). BDNF, BDNF-AS, MIR137HG, and MIAT genes could discriminate SCZ patients from normal subjects with diagnostic power of 71%, 72%, 67%, and 68%, respectively. The current investigation suggests the possibility of the application of transcript levels of lncRNAs as an SCZ diagnostic marker. However, it warrants further studies in larger sample sizes.
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Affiliation(s)
- Elham Badrlou
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Soudeh Ghafouri-Fard
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mir Davood Omrani
- Urology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Shahram Arsang-Jang
- Department of Biostatistics and Epidemiology, Cancer Gene Therapy Research Center, Faculty of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Mohammad Taheri
- Urogenital Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Farkhondeh Pouresmaeili
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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11
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Jia J, Liu X, Ma L, Xu Y, Ren Y. A preliminary analysis of LncRNA biomarkers for schizophrenia. Epigenomics 2021; 13:1443-1458. [PMID: 34528440 DOI: 10.2217/epi-2021-0223] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: The aim of this study was to identify the long noncoding RNAs (lncRNAs) associated with schizophrenia (SZ) and the relationships among their expression, antipsychotic efficacy and SZ severity. Method: The diagnostic and predictive value of nine lncRNAs, Gomafu, DISC2, PSZA11, AK096174, AK123097, DB340248, uc011dma.1, ENST00000509804-1 and ENST00000509804-2, was investigated in 48 patients with SZ before and after antipsychotic treatment. Results: Gomafu, AK096174, AK123097, DB340248, uc011dma.1, ENST00000509804-1 and ENST00000509804-2 were individually and collectively associated with, and predictive of, SZ pathogenesis. Moreover, increased expression of plasma AK123097, uc011dma.1 and ENST00000509804-1 levels was reversed after 12 weeks of antipsychotic treatment, which was associated with SZ severity. Conclusion: Seven lncRNAs serve as novel biomarkers for SZ diagnosis and prognosis and three lncRNAs are potential therapeutic targets.
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Affiliation(s)
- Jiao Jia
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China.,Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, China
| | - Xiaofei Liu
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China.,Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, China
| | - Lina Ma
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China.,Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, China
| | - Yong Xu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Yan Ren
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China.,Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, China
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12
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Bhattacharyya N, Pandey V, Bhattacharyya M, Dey A. Regulatory role of long non coding RNAs (lncRNAs) in neurological disorders: From novel biomarkers to promising therapeutic strategies. Asian J Pharm Sci 2021; 16:533-550. [PMID: 34849161 PMCID: PMC8609388 DOI: 10.1016/j.ajps.2021.02.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 01/28/2021] [Accepted: 02/18/2021] [Indexed: 01/12/2023] Open
Abstract
Long non coding RNAs (lncRNAs) are non-protein or low-protein coding transcripts that contain more than 200 nucleotides. They representing a large share of the cell's transcriptional output, demonstrate functional attributes viz. tissue-specific expression, determination of cell fate, controlled expression, RNA processing and editing, dosage compensation, genomic imprinting, conserved evolutionary traits etc. These long non coding variants are well associated with pathogenicity of various diseases including the neurological disorders like Alzheimer's disease, schizophrenia, Huntington's disease, Parkinson's disease etc. Neurological disorders are widespread and there knowing the underlying mechanisms become crucial. The lncRNAs take part in the pathogenesis by a plethora of mechanisms like decoy, scaffold, mi-RNA sequestrator, histone modifiers and in transcriptional interference. Detailed knowledge of the role of lncRNAs can help to use them further as novel biomarkers for therapeutic aspects. Here, in this review we discuss regulation and functional roles of lncRNAs in eight neurological diseases and psychiatric disorders, and the mechanisms by which they act. With these, we try to establish their roles as potential markers and viable diagnostic tools in these disorders.
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Affiliation(s)
| | - Vedansh Pandey
- Department of Life Sciences, Presidency University, Kolkata, India
| | | | - Abhijit Dey
- Department of Life Sciences, Presidency University, Kolkata, India
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13
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Chen Q, Li D, Jin W, Shi Y, Li Z, Ma P, Sun J, Chen S, Li P, Lin P. Research Progress on the Correlation Between Epigenetics and Schizophrenia. Front Neurosci 2021; 15:688727. [PMID: 34366776 PMCID: PMC8334178 DOI: 10.3389/fnins.2021.688727] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 06/03/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose of the Review Nowadays, the incidence of schizophrenia is noticeably increased. If left undiagnosed and untreated, it will lead to impaired social functions, repeated hospital admissions, decline in quality of life and life expectancy. However, the diagnosis of schizophrenia is complicated and challenging. Both genetic and environmental factors are considered as important contributors to the development and progression of this disorder. The environmental factors have been linked to changes in gene expression through epigenetic modulations, which have raised more and more research interests in recent years. This review article is to summarize the current findings and understanding of epigenetic modulation associated with pathogenesis of schizophrenia, aiming to provide useful information for further research in developing biomarkers for schizophrenia. Recent Findings Three major types of epigenetic modulations have been described in this article. Firstly, both DNA hypermethylation and hypomethylated have been associated with schizophrenia via analyzing post-mortem brain tissues and peripheral blood of patients. Specific changes of non-coding RNAs, particularly microRNAs and long-chain non-coding RNAs, have been observed in central and peripheral samples of schizophrenia patients, indicating their significant diagnostic value for the disease, and may also potentially predict treatment response. The correlation between histone modification and schizophrenia, however, is largely unclear. Summary Epigenetic modulations, including DNA methylation, ncRNA transcriptional regulation and histone modification, play an important role in the pathogenesis of schizophrenia. Therefore, tests of these epigenetic alterations may be utilized to assist in the diagnosis and determination of strategies of individualized treatment in clinical practice.
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Affiliation(s)
- Qing Chen
- Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dan Li
- Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weifeng Jin
- Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yun Shi
- Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhenhua Li
- Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peijun Ma
- Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiaqi Sun
- Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuzi Chen
- Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ping Li
- Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ping Lin
- Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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14
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Ghafouri-Fard S, Eghtedarian R, Taheri M, Beatrix Brühl A, Sadeghi-Bahmani D, Brand S. A Review on the Expression Pattern of Non-coding RNAs in Patients With Schizophrenia: With a Special Focus on Peripheral Blood as a Source of Expression Analysis. Front Psychiatry 2021; 12:640463. [PMID: 34220567 PMCID: PMC8249727 DOI: 10.3389/fpsyt.2021.640463] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 05/06/2021] [Indexed: 12/14/2022] Open
Abstract
Schizophrenia is a destructive neuropsychiatric disease with a median prevalence of 4.0 per 1,000 during the whole life. Genome-wide association studies have shown the role of copy number variants (generally deletions) and certain alleles of common single nucleotide polymorphisms in the pathogenesis of schizophrenia. This disorder predominantly follows the polygenic inheritance model. Schizophrenia has also been linked with various alterations in the transcript and protein content of the brain tissue. Recent studies indicate that alterations in non-coding RNAs (ncRNAs) signature underlie a proportion of this dysregulation. High throughput microarray investigations have demonstrated momentous alterations in the expression of long non-coding RNAs (lncRNA) and microRNAs (miRNAs) in the circulation or post-mortem brain tissues of patients with schizophrenia compared with control samples. While Gomafu, PINT, GAS5, TCONS_l2_00021339, IFNG-AS1, FAS-AS1, PVT1, and TUG1 are among down-regulated lncRNAs in schizophrenia, MEG3, THRIL, HOXA-AS2, Linc-ROR, SPRY4-IT1, UCA1, and MALAT1 have been up-regulated in these patients. Moreover, several miRNAs, such as miR-30e, miR-130b, hsa-miR-130b, miR-193a-3p, hsa-miR-193a-3p, hsa-miR-181b, hsa-miR-34a, hsa-miR-346, and hsa-miR-7 have been shown to be dysregulated in blood or brain samples of patients with schizophrenia. Dysregulation of these transcripts in schizophrenia not only provides insight into the pathogenic processes of this disorder, it also suggests these transcripts could serve as diagnostic markers for schizophrenia. In the present paper, we explore the changes in the expression of miRNAs and lncRNAs in patients with schizophrenia.
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Affiliation(s)
- Soudeh Ghafouri-Fard
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Reyhane Eghtedarian
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Taheri
- Skull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Annette Beatrix Brühl
- Psychiatric Clinics, Center for Affective, Stress and Sleep Disorders, University of Basel, Basel, Switzerland
| | - Dena Sadeghi-Bahmani
- Psychiatric Clinics, Center for Affective, Stress and Sleep Disorders, University of Basel, Basel, Switzerland
- Exercise Neuroscience Research Laboratory, The University of Alabama at Birmingham, Birmingham, AL, United States
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Serge Brand
- Psychiatric Clinics, Center for Affective, Stress and Sleep Disorders, University of Basel, Basel, Switzerland
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
- Substance Abuse Prevention Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
- Division of Sport Science and Psychosocial Health, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
- Department of Psychiatry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
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15
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Mishra P, Kumar S. Association of lncRNA with regulatory molecular factors in brain and their role in the pathophysiology of schizophrenia. Metab Brain Dis 2021; 36:849-858. [PMID: 33608830 DOI: 10.1007/s11011-021-00692-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 02/11/2021] [Indexed: 01/12/2023]
Abstract
Schizophrenia is one of the most agonizing neurodegenerative diseases of the brain. Research undertaken to understand the molecular mechanism of this disease has undergone a transition and currently more emphasis is put on long noncoding RNA (lncRNA). High expression level of lncRNA in the brain contributes to several molecular pathways essential for the proper functioning of neurons, neurotransmitters, and synapses, that are often found dysfunctional in Schizophrenia. Recently, the association of lncRNA with various molecular factors in the brain has been explored to a considerably large extent. This review comprehends the significance of lncRNA in causing profound regulatory effect in the brain and how any alterations to the association of lncRNA with regulatory proteins, enzymes and other noncoding RNA could contribute to the aetiology of Schizophrenia.
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Affiliation(s)
- Parinita Mishra
- Life Science Department, National Institute of Technology, Rourkela, Odisha, 769008, India
| | - Santosh Kumar
- Life Science Department, National Institute of Technology, Rourkela, Odisha, 769008, India.
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16
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Pascale E, Divisato G, Palladino R, Auriemma M, Ngalya EF, Caiazzo M. Noncoding RNAs and Midbrain DA Neurons: Novel Molecular Mechanisms and Therapeutic Targets in Health and Disease. Biomolecules 2020; 10:E1269. [PMID: 32899172 PMCID: PMC7563414 DOI: 10.3390/biom10091269] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 08/28/2020] [Accepted: 08/31/2020] [Indexed: 12/11/2022] Open
Abstract
Midbrain dopamine neurons have crucial functions in motor and emotional control and their degeneration leads to several neurological dysfunctions such as Parkinson's disease, addiction, depression, schizophrenia, and others. Despite advances in the understanding of specific altered proteins and coding genes, little is known about cumulative changes in the transcriptional landscape of noncoding genes in midbrain dopamine neurons. Noncoding RNAs-specifically microRNAs and long noncoding RNAs-are emerging as crucial post-transcriptional regulators of gene expression in the brain. The identification of noncoding RNA networks underlying all stages of dopamine neuron development and plasticity is an essential step to deeply understand their physiological role and also their involvement in the etiology of dopaminergic diseases. Here, we provide an update about noncoding RNAs involved in dopaminergic development and metabolism, and the related evidence of these biomolecules for applications in potential treatments for dopaminergic neurodegeneration.
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Affiliation(s)
- Emilia Pascale
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, Via Pansini 5, 80131 Naples, Italy; (E.P.); (G.D.); (R.P.); (M.A.); (E.F.N.)
| | - Giuseppina Divisato
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, Via Pansini 5, 80131 Naples, Italy; (E.P.); (G.D.); (R.P.); (M.A.); (E.F.N.)
| | - Renata Palladino
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, Via Pansini 5, 80131 Naples, Italy; (E.P.); (G.D.); (R.P.); (M.A.); (E.F.N.)
| | - Margherita Auriemma
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, Via Pansini 5, 80131 Naples, Italy; (E.P.); (G.D.); (R.P.); (M.A.); (E.F.N.)
| | - Edward Faustine Ngalya
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, Via Pansini 5, 80131 Naples, Italy; (E.P.); (G.D.); (R.P.); (M.A.); (E.F.N.)
| | - Massimiliano Caiazzo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, Via Pansini 5, 80131 Naples, Italy; (E.P.); (G.D.); (R.P.); (M.A.); (E.F.N.)
- Department of Pharmaceutics, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Universiteitsweg 99, 3584 CG Utrecht, The Netherlands
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17
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Epigenomic Dysregulation in Schizophrenia: In Search of Disease Etiology and Biomarkers. Cells 2020; 9:cells9081837. [PMID: 32764320 PMCID: PMC7463953 DOI: 10.3390/cells9081837] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 07/27/2020] [Accepted: 07/31/2020] [Indexed: 12/13/2022] Open
Abstract
Schizophrenia is a severe psychiatric disorder with a complex array of signs and symptoms that causes very significant disability in young people. While schizophrenia has a strong genetic component, with heritability around 80%, there is also a very significant range of environmental exposures and stressors that have been implicated in disease development and neuropathology, such as maternal immune infection, obstetric complications, childhood trauma and cannabis exposure. It is postulated that epigenetic factors, as well as regulatory non-coding RNAs, mediate the effects of these environmental stressors. In this review, we explore the most well-known epigenetic marks, including DNA methylation and histone modification, along with emerging RNA mediators of epigenomic state, including miRNAs and lncRNAs, and discuss their collective potential for involvement in the pathophysiology of schizophrenia implicated through the postmortem analysis of brain tissue. Given that peripheral tissues, such as blood, saliva, and olfactory epithelium have the same genetic composition and are exposed to many of the same environmental exposures, we also examine some studies supporting the application of peripheral tissues for epigenomic biomarker discovery in schizophrenia. Finally, we provide some perspective on how these biomarkers may be utilized to capture a signature of past events that informs future treatment.
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18
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Hrovatin K, Kunej T, Dolžan V. Genetic variability of serotonin pathway associated with schizophrenia onset, progression, and treatment. Am J Med Genet B Neuropsychiatr Genet 2020; 183:113-127. [PMID: 31674148 DOI: 10.1002/ajmg.b.32766] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2019] [Revised: 09/11/2019] [Accepted: 10/07/2019] [Indexed: 12/22/2022]
Abstract
Schizophrenia (SZ) onset and treatment outcome have important genetic components, however individual genes do not have strong effects on SZ phenotype. Therefore, it is important to use the pathway-based approach and study metabolic and signaling pathways, such as dopaminergic and serotonergic. Serotonin pathway has an important role in brain signaling, nevertheless, its role in SZ is not as thoroughly examined as that of dopamine pathway. In this study, we reviewed serotonin pathway genes and genetic variations associated with SZ, including variations at DNA, RNA, and epigenetic level. We obtained 30 serotonin pathway genes from Kyoto encyclopedia of genes and genomes and used these genes for the literature review. We extracted 20 protein coding serotonin pathway genes with genetic variations associated with SZ onset, development, and treatment from 31 research papers. Genes associated with SZ are present on all levels of serotonin pathway: serotonin synthesis, transport, receptor binding, intracellular signaling, and reuptake; however, regulatory genes are poorly researched. We summarized common challenges of genetic association studies and presented some solutions. The analysis of reported serotonin pathway-SZ associations revealed lack of information about certain serotonin pathway genes potentially associated with SZ. Furthermore, it is becoming clear that interactions among serotonin pathway genes and their regulators may bring further knowledge about their involvement in SZ.
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Affiliation(s)
- Karin Hrovatin
- University of Ljubljana, Biotechnical Faculty, Department of Animal Science, Ljubljana, Slovenia
| | - Tanja Kunej
- University of Ljubljana, Biotechnical Faculty, Department of Animal Science, Ljubljana, Slovenia
| | - Vita Dolžan
- University of Ljubljana, Faculty of Medicine, Institute of Biochemistry, Pharmacogenetics Laboratory, Ljubljana, Slovenia
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19
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Hezroni H, Perry RBT, Ulitsky I. Long Noncoding RNAs in Development and Regeneration of the Neural Lineage. COLD SPRING HARBOR SYMPOSIA ON QUANTITATIVE BIOLOGY 2020; 84:165-177. [PMID: 31900326 DOI: 10.1101/sqb.2019.84.039347] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Long noncoding RNAs (lncRNAs) are gathering increasing attention toward their roles in different biological systems. In mammals, the richest repertoires of lncRNAs are expressed in the brain and in the testis, and the diversity of lncRNAs in the nervous system is thought to be related to the diversity and the complexity of its cell types. Supporting this notion, many lncRNAs are differentially expressed between different regions of the brain or in particular cell types, and many lncRNAs are dynamically expressed during embryonic or postnatal neurogenesis. Less is known about the functions of these genes, if any, but they are increasingly implicated in diverse processes in health and disease. Here, we review the current knowledge about the roles and importance of lncRNAs in the central and peripheral nervous systems and discuss the specific niches within gene regulatory networks that might be preferentially occupied by lncRNAs.
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Affiliation(s)
- Hadas Hezroni
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Rotem Ben Tov Perry
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Igor Ulitsky
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot 76100, Israel
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20
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Grinman E, Espadas I, Puthanveettil SV. Emerging roles for long noncoding RNAs in learning, memory and associated disorders. Neurobiol Learn Mem 2019; 163:107034. [DOI: 10.1016/j.nlm.2019.107034] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 05/03/2019] [Accepted: 06/05/2019] [Indexed: 12/13/2022]
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21
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Chen S, Zhu X, Niu W, Yao G, Kong L, He M, Chen C, Lu Z, Cui X, Zhang L. Regulatory Role of lncRNA NONHSAT089447 in the Dopamine Signaling Pathway in Schizophrenic Patients. Med Sci Monit 2019; 25:4322-4332. [PMID: 31180069 PMCID: PMC6582682 DOI: 10.12659/msm.915684] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Background We previously discovered that 3 long non-coding RNAs (lncRNAs) NONHSAT089447, NONHSAT021545, and NONHSAT041499 were differentially expressed in the peripheral blood of patients with schizophrenia, in comparison to those in normal healthy controls. In this study, we conducted bioinformatic analysis of these 3 lncRNAs and the regulatory role of lncRNA NONHSAT089447 in the dopamine signaling pathway in patients with schizophrenia. Material/Methods There lncRNAs in peripheral blood mononuclear cells (PBMCs) were screened using microarray analysis. Pearson’s correlation analysis was performed to assess the levels of co-expressed mRNAs of respective lncRNAs. The Database for Annotation, Visualization and Integrated Discovery (DAVID) software was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes or Genomes (KEGG) enrichment analysis for these lncRNAs. Human neuroblastoma cell lines (SK-N-SH) were cultured and treated with dopamine or olanzapine (OLP), or transfected with siRNA targeting NONHSAT089447 or plasmid expressing NONHSAT089447. Levels of lncRNAs were detected by quantitative real-time reverse transcription polymerase chain reaction (RT-PCR). Then, mRNA and protein expression of the dopamine receptors DRD1, DRD2, DRD3, DRD4, and DRD5 were measured by RT-PCR and western blot analysis, respectively. Results OLP treatment significantly inhibited the expression of NONHSAT089447. Knockdown of NONHSAT089447 by siRNA decreased DRD3 and DRD5 expression, while overexpression of NONHSAT089447 significantly upregulated expression of DRD3 and DRD5. Western blot analysis confirmed that levels of NONHSAT089447 regulated downstream DRD signaling. Conclusions Our results revealed that the lncRNA NONHSAT089447 participated in the dopamine signaling pathway via upregulation of DRDs.
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Affiliation(s)
- Shengdong Chen
- Department of Neurology, No. 904 Hospital of Joint Logistics Unit, Changzhou, Jiangsu, China (mainland)
| | - Xiaoli Zhu
- Prevention and Treatment Center for Psychological Diseases, No. 904 Hospital of Joint Logistics Unit, Changzhou, Jiangsu, China (mainland)
| | - Wei Niu
- Department of Rehabilitation, No. 904 Hospital of Joint Logistics Unit, Changzhou, Jiangsu, China (mainland)
| | - Gaofeng Yao
- Prevention and Treatment Center for Psychological Diseases, No. 904 Hospital of Joint Logistics Unit, Changzhou, Jiangsu, China (mainland)
| | - Lingming Kong
- Prevention and Treatment Center for Psychological Diseases, No. 904 Hospital of Joint Logistics Unit, Changzhou, Jiangsu, China (mainland)
| | - Mingjun He
- Prevention and Treatment Center for Psychological Diseases, No. 904 Hospital of Joint Logistics Unit, Changzhou, Jiangsu, China (mainland)
| | - Chunxia Chen
- Prevention and Treatment Center for Psychological Diseases, No. 904 Hospital of Joint Logistics Unit, Changzhou, Jiangsu, China (mainland)
| | - Zhengbin Lu
- GoPath Laboratories LLC, Buffalo Grove, IL, USA
| | - Xuelian Cui
- Maternal and Child Care Service Centre of Changzhou, Changzhou, Jiangsu, China (mainland)
| | - Liyi Zhang
- Prevention and Treatment Center for Psychological Diseases, No. 904 Hospital of Joint Logistics Unit, Changzhou, Jiangsu, China (mainland)
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22
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Yao G, Niu W, Zhu X, He M, Kong L, Chen S, Zhang L, Cheng Z. hsa_circRNA_104597: a novel potential diagnostic and therapeutic biomarker for schizophrenia. Biomark Med 2019; 13:331-340. [PMID: 30781971 DOI: 10.2217/bmm-2018-0447] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Aim: To assess whether expression of circular RNAs (circRNAs) in peripheral blood mononuclear cells can serve as a biomarker for diagnosis and/or therapeutic response in people living with schizophrenia (SZ). Materials & methods: Differentially expressed circRNAs were screened via microarray in nine individuals living with SZ and nine healthy controls, then quantified using real-time quantitative reverse transcription PCR in SZ (n = 102) and healthy control (n = 103) groups. CircRNAs were re-assessed twice in 30 randomly selected individuals living with SZ after 4- and 8-week antipsychotic treatments. Results: Five circRNAs were differentially expressed between groups. Only hsa_circRNA_104597, which was downregulated in the SZ group, was significantly upregulated after 8-week treatment. Conclusion: Dysregulation of hsa_circRNA_104597 may serve as a novel potential diagnostic and therapeutic biomarker for SZ.
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Affiliation(s)
- Gaofeng Yao
- Department of Psychology, The Affiliated Wuxi Mental Health Center of Nanjing Medical University, Wuxi, PR China.,Prevention & Treatment Center for Psychological Diseases, No. 904 Hospital of the Chinese People's Liberation Army, Changzhou, PR China
| | - Wei Niu
- Department of Rehabilitation, No. 904 Hospital of Chinese People's Liberation Army, Changzhou, PR China
| | - Xiaoli Zhu
- Prevention & Treatment Center for Psychological Diseases, No. 904 Hospital of the Chinese People's Liberation Army, Changzhou, PR China
| | - Mingjun He
- Prevention & Treatment Center for Psychological Diseases, No. 904 Hospital of the Chinese People's Liberation Army, Changzhou, PR China
| | - Lingming Kong
- Prevention & Treatment Center for Psychological Diseases, No. 904 Hospital of the Chinese People's Liberation Army, Changzhou, PR China
| | - Shengdong Chen
- Department of Neurology, No. 904 Hospital of Chinese People's Liberation Army, Changzhou, PR China
| | - Liyi Zhang
- Prevention & Treatment Center for Psychological Diseases, No. 904 Hospital of the Chinese People's Liberation Army, Changzhou, PR China
| | - Zaohuo Cheng
- Department of Psychology, The Affiliated Wuxi Mental Health Center of Nanjing Medical University, Wuxi, PR China
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23
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Li L, Zhuang Y, Zhao X, Li X. Long Non-coding RNA in Neuronal Development and Neurological Disorders. Front Genet 2019; 9:744. [PMID: 30728830 PMCID: PMC6351443 DOI: 10.3389/fgene.2018.00744] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 12/27/2018] [Indexed: 12/20/2022] Open
Abstract
Long non-coding RNAs (lncRNAs) are transcripts which are usually more than 200 nt in length, and which do not have the protein-coding capacity. LncRNAs can be categorized based on their generation from distinct DNA elements, or derived from specific RNA processing pathways. During the past several decades, dramatic progress has been made in understanding the regulatory functions of lncRNAs in diverse biological processes, including RNA processing and editing, cell fate determination, dosage compensation, genomic imprinting and development etc. Dysregulation of lncRNAs is involved in multiple human diseases, especially neurological disorders. In this review, we summarize the recent progress made with regards to the function of lncRNAs and associated molecular mechanisms, focusing on neuronal development and neurological disorders.
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Affiliation(s)
- Ling Li
- The Children's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,Institute of Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yingliang Zhuang
- The Children's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,Institute of Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xingsen Zhao
- The Children's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,Institute of Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xuekun Li
- The Children's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,Institute of Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, China
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24
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Azizi Z, Mirtavoos-Mahyari H, Karimi R, Noroozi Z, Motevaseli E. Long non-coding RNAs: Diverse roles in various disorders. Hum Antibodies 2019; 27:221-225. [PMID: 30909207 DOI: 10.3233/hab-190374] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
BACKGROUND Long non-coding RNAs (lncRNAs) are a group of transcripts larger than 200 nucleotides that are not translated to proteins. These transcripts regulate expression of numerous genes at different levels by acting as decoys, scaffolds, and enhancers. Thus they regulate cell development, differentiation and fate. OBJECTIVE To find the role of lncRNAs in various diseases. METHODS We searched PubMed and google scholar and summarized the data regarding the role of lncRNAs in cancer and neurologic disorders. RESULTS Several recent studies have shown that their expressions are up-/down-regulated in malignant tissues. Consequently, they have suggested that lncRNAs can differentiate cancer samples from normal samples. Their application as biomarker is not limited to cancers. In several neurologic or psychiatric disorders researchers have found aberrant expression of lncRNAs. CONCLUSIONS Taken together, lncRNAs constitute a novel vast area of research to find answer to fundamental biologic questions.
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Affiliation(s)
- Zahra Azizi
- Department of Molecular Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Hanifeh Mirtavoos-Mahyari
- Department of Medical Genetics, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Roya Karimi
- Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Noroozi
- Department of Molecular Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Elahe Motevaseli
- Department of Molecular Medicine, Tehran University of Medical Sciences, Tehran, Iran
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25
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Safari MR, Komaki A, Arsang-Jang S, Taheri M, Ghafouri-Fard S. Expression Pattern of Long Non-coding RNAs in Schizophrenic Patients. Cell Mol Neurobiol 2018; 39:211-221. [DOI: 10.1007/s10571-018-0640-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Accepted: 12/06/2018] [Indexed: 01/07/2023]
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26
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Zhou Y, Lutz PE, Wang YC, Ragoussis J, Turecki G. Global long non-coding RNA expression in the rostral anterior cingulate cortex of depressed suicides. Transl Psychiatry 2018; 8:224. [PMID: 30337518 PMCID: PMC6193959 DOI: 10.1038/s41398-018-0267-7] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 07/10/2018] [Accepted: 09/10/2018] [Indexed: 01/17/2023] Open
Abstract
Long non-coding RNAs (lncRNAs) are an emerging class of regulatory RNA that may be implicated in psychiatric disorders. Here we performed RNA-sequencing in the rostral anterior cingulate cortex of 26 depressed suicides and 24 matched controls. We first performed differential lncRNA expression analysis, and then conducted Weighted Gene Co-expression Network Analysis (WGCNA) to identify co-expression modules associating with depression and suicide. We identified 23 differentially expressed lncRNAs (FDR < 0.1) as well as their differentially expressed overlapping and antisense protein-coding genes. Several of these overlapping or antisense genes were associated with interferon signaling, which is a component of the innate immune response. Using WGCNA, we identified modules of highly co-expressed genes associated with depression and suicide and found protein-coding genes highly connected to differentially expressed lncRNAs within these modules. These protein-coding genes were located distal to their associated lncRNAs and were found to be part of several GO terms enriched in the significant modules, which include: cytoskeleton organization, plasma membrane, cell adhesion, nucleus, DNA-binding, and regulation of dendrite development and morphology. Altogether, we report that lncRNAs are differentially expressed in the brains of depressed individuals who died by suicide and may represent regulators of important molecular functions and biological processes.
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Grants
- R01 DA033684 NIDA NIH HHS
- Dr. G. Turecki holds a Canada Research Chair (Tier 1), FRQS Chercheur National salary award and a NARSAD Distinguished Investigator Award; he is supported by grants FDN148374, MOP93775, MOP11260, MOP119429, and MOP119430 from CIHR, by NIH grant 1R01DA033684, by the FRQS through the Quebec Network on Suicide, Mood Disorders, and Related Disorders, and through an investigator-initiated research grant from Pfizer
- Scholarships from the Fondation Fyssen, the Fondation Bettencourt-Schueller, the Canadian Institutes of Health Research, the American Foundation of Suicide Prevention, the Fondation Deniker and the Fondation pour la Recherche Médicale.
- CFI grant number 32557 and Genome Canada Genome Innovation Node awards.
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Affiliation(s)
- Yi Zhou
- McGill Group for Suicide Studies, McGill University, 6875 LaSalle Boulevard, Montreal, QC, H4H 1R3, Canada
| | - Pierre-Eric Lutz
- McGill Group for Suicide Studies, McGill University, 6875 LaSalle Boulevard, Montreal, QC, H4H 1R3, Canada
- Centre National de la Recherche Scientifique, Université de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives, Strasbourg, France
- Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Yu Chang Wang
- McGill University and Génome Québec Innovation Centre, 740 Dr. Penfield Avenue, Room 7104, Montréal, QC, H3A 0G1, Canada
| | - Jiannis Ragoussis
- McGill University and Génome Québec Innovation Centre, 740 Dr. Penfield Avenue, Room 7104, Montréal, QC, H3A 0G1, Canada
| | - Gustavo Turecki
- McGill Group for Suicide Studies, McGill University, 6875 LaSalle Boulevard, Montreal, QC, H4H 1R3, Canada.
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27
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Blokhin I, Khorkova O, Hsiao J, Wahlestedt C. Developments in lncRNA drug discovery: where are we heading? Expert Opin Drug Discov 2018; 13:837-849. [PMID: 30078338 DOI: 10.1080/17460441.2018.1501024] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
INTRODUCTION The central dogma of molecular biology, which states that the only role of long RNA transcripts is to convey information from gene to protein, was brought into question in recent years due to discovery of the extensive presence and complex roles of long noncoding RNAs (lncRNAs). Furthermore, lncRNAs were found to be involved in pathogenesis of multiple diseases and thus represent a new class of therapeutic targets. Translational efforts in the lncRNA field have been augmented by progress in optimizing the chemistry and delivery platforms of lncRNA-targeting modalities, including oligonucleotide-based drugs and CRISPR-Cas9. Areas covered: This review covers the current advances in characterizing diversity and biological functions of lncRNA focusing on their therapeutic potential in selected therapeutic areas. Expert opinion: Due to accelerating parallel progress in lncRNA biology and lncRNA-compatible therapeutic modalities, it is likely that lncRNA-dependent mechanisms of pathogenesis will soon be targeted in various disorders, including neurological, psychiatric, cardiovascular, infectious diseases, and cancer. Significant efforts, however, are still required to better understand the biology of both lncRNAs and lncRNA-targeting drugs. Further work is needed in the areas of lncRNA nomenclature, database representation, intra/interfield communication, and education of the community at large.
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Affiliation(s)
- Ilya Blokhin
- a Center for Therapeutic Innovation and Department of Psychiatry and Behavioral Sciences , University of Miami Miller School of Medicine , Miami , FL , USA
| | | | | | - Claes Wahlestedt
- a Center for Therapeutic Innovation and Department of Psychiatry and Behavioral Sciences , University of Miami Miller School of Medicine , Miami , FL , USA
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28
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Levran O, Correa da Rosa J, Randesi M, Rotrosen J, Adelson M, Kreek MJ. A non-coding CRHR2 SNP rs255105, a cis-eQTL for a downstream lincRNA AC005154.6, is associated with heroin addiction. PLoS One 2018; 13:e0199951. [PMID: 29953524 PMCID: PMC6023117 DOI: 10.1371/journal.pone.0199951] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Accepted: 06/15/2018] [Indexed: 02/02/2023] Open
Abstract
Dysregulation of the stress response is implicated in drug addiction; therefore, polymorphisms in stress-related genes may be involved in this disease. An analysis was performed to identify associations between variants in 11 stress-related genes, selected a priori, and heroin addiction. Two discovery samples of American subjects of European descent (EA, n = 601) and of African Americans (AA, n = 400) were analyzed separately. Ancestry was verified by principal component analysis. Final sets of 414 (EA) and 562 (AA) variants were analyzed after filtering of 846 high-quality variants. The main result was an association of a non-coding SNP rs255105 in the CRH (CRF) receptor 2 gene (CRHR2), in the discovery EA sample (Pnominal = .00006; OR = 2.1; 95% CI 1.4-3.1). The association signal remained significant after permutation-based multiple testing correction. The result was corroborated by an independent EA case sample (n = 364). Bioinformatics analysis revealed that SNP rs255105 is associated with the expression of a downstream long intergenic non-coding RNA (lincRNA) gene AC005154.6. AC005154.6 is highly expressed in the pituitary but its functions are unknown. LincRNAs have been previously associated with adaptive behavior, PTSD, and alcohol addiction. Further studies are warranted to corroborate the association results and to assess the potential relevance of this lincRNA to addiction and other stress-related disorders.
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Affiliation(s)
- Orna Levran
- The Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, New York, United States of America
| | - Joel Correa da Rosa
- Center for Clinical and Translational Science, The Rockefeller University, New York, New York, United States of America
| | - Matthew Randesi
- The Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, New York, United States of America
| | - John Rotrosen
- NYU School of Medicine, New York, New York, United States of America
| | - Miriam Adelson
- Dr. Miriam and Sheldon G. Adelson Clinic for Drug Abuse Treatment and Research, Las Vegas, Nevada, United States of America
| | - Mary Jeanne Kreek
- The Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, New York, United States of America
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29
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Cipolla GA, de Oliveira JC, Salviano-Silva A, Lobo-Alves SC, Lemos DS, Oliveira LC, Jucoski TS, Mathias C, Pedroso GA, Zambalde EP, Gradia DF. Long Non-Coding RNAs in Multifactorial Diseases: Another Layer of Complexity. Noncoding RNA 2018; 4:E13. [PMID: 29751665 PMCID: PMC6027498 DOI: 10.3390/ncrna4020013] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Revised: 04/13/2018] [Accepted: 05/04/2018] [Indexed: 02/06/2023] Open
Abstract
Multifactorial diseases such as cancer, cardiovascular conditions and neurological, immunological and metabolic disorders are a group of diseases caused by the combination of genetic and environmental factors. High-throughput RNA sequencing (RNA-seq) technologies have revealed that less than 2% of the genome corresponds to protein-coding genes, although most of the human genome is transcribed. The other transcripts include a large variety of non-coding RNAs (ncRNAs), and the continuous generation of RNA-seq data shows that ncRNAs are strongly deregulated and may be important players in pathological processes. A specific class of ncRNAs, the long non-coding RNAs (lncRNAs), has been intensively studied in human diseases. For clinical purposes, lncRNAs may have advantages mainly because of their specificity and differential expression patterns, as well as their ideal qualities for diagnosis and therapeutics. Multifactorial diseases are the major cause of death worldwide and many aspects of their development are not fully understood. Recent data about lncRNAs has improved our knowledge and helped risk assessment and prognosis of these pathologies. This review summarizes the involvement of some lncRNAs in the most common multifactorial diseases, with a focus on those with published functional data.
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Affiliation(s)
- Gabriel A Cipolla
- Department of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil.
| | | | | | - Sara C Lobo-Alves
- Department of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil.
| | - Debora S Lemos
- Department of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil.
| | - Luana C Oliveira
- Department of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil.
| | - Tayana S Jucoski
- Department of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil.
| | - Carolina Mathias
- Department of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil.
| | - Gabrielle A Pedroso
- Department of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil.
| | - Erika P Zambalde
- Department of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil.
| | - Daniela F Gradia
- Department of Genetics, Federal University of Parana, Curitiba 81531-980, Brazil.
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30
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Gibbons A, Udawela M, Dean B. Non-Coding RNA as Novel Players in the Pathophysiology of Schizophrenia. Noncoding RNA 2018; 4:E11. [PMID: 29657307 PMCID: PMC6027250 DOI: 10.3390/ncrna4020011] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Revised: 03/29/2018] [Accepted: 04/06/2018] [Indexed: 12/22/2022] Open
Abstract
Schizophrenia is associated with diverse changes in the brain's transcriptome and proteome. Underlying these changes is the complex dysregulation of gene expression and protein production that varies both spatially across brain regions and temporally with the progression of the illness. The growing body of literature showing changes in non-coding RNA in individuals with schizophrenia offers new insights into the mechanisms causing this dysregulation. A large number of studies have reported that the expression of microRNA (miRNA) is altered in the brains of individuals with schizophrenia. This evidence is complemented by findings that single nucleotide polymorphisms (SNPs) in miRNA host gene sequences can confer an increased risk of developing the disorder. Additionally, recent evidence suggests the expression of other non-coding RNAs, such as small nucleolar RNA and long non-coding RNA, may also be affected in schizophrenia. Understanding how these changes in non-coding RNAs contribute to the development and progression of schizophrenia offers potential avenues for the better treatment and diagnosis of the disorder. This review will focus on the evidence supporting the involvement of non-coding RNA in schizophrenia and its therapeutic potential.
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Affiliation(s)
- Andrew Gibbons
- The Florey Institute for Neuroscience and Mental Health, 30 Royal Parade, Parkville, VIC 3052, Australia.
- The Department of Psychiatry, the University of Melbourne, Parkville, Victoria, Australia.
| | - Madhara Udawela
- The Florey Institute for Neuroscience and Mental Health, 30 Royal Parade, Parkville, VIC 3052, Australia.
| | - Brian Dean
- The Florey Institute for Neuroscience and Mental Health, 30 Royal Parade, Parkville, VIC 3052, Australia.
- The Centre for Mental Health, Swinburne University of Technology, Hawthorn, Victoria, Australia.
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31
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Liu H, Zhai J, Wang B, Fang M. Olig2 Silence Ameliorates Cuprizone-Induced Schizophrenia-Like Symptoms in Mice. Med Sci Monit 2017; 23:4834-4840. [PMID: 28989170 PMCID: PMC5644458 DOI: 10.12659/msm.903842] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Background The pathogenesis of schizophrenia is complex and oligodendrocyte abnormality is an important component of the pathogenesis found in schizophrenia. This study was designed to evaluate the function of olig2 in cuprizone-induced schizophrenia-like symptoms in a mouse model, and to assess the related mechanisms. Material/Methods The schizophrenia-like symptoms were modeled by administration of cuprizone in mice. Open-field and elevated-plus maze tests were applied to detect behavioral changes. Adenovirus encoding olig2 siRNA was designed to silence olig2 expression. Real-time PCR and western blotting were applied to detect myelin basic protein (MBP), 2′,3′-cyclic nucleotide 3′-phosphodiesterase (CNPase), glial fibrillary acidic protein (GFAP) and olig2 expressions. Results Open field test showed that the distance and time spent in the center area were significantly decreased in cuprizone mice (model mice) when compared with control mice (p<0.05). By contrast, olig2 silence could significantly increase the time and distance spent in the center area compared with the model mice (p<0.05). As revealed by elevated-plus maze test, the mice in the model group preferred the open arm and spent more time and distance in the open arm compared with control mice (p<0.05), while olig2 silence significantly reversed the abnormalities (p<0.05). Mechanically, MBP and CNPase expression were reduced in the model group compared with the control (p<0.05). However, olig2 silence reversed the reduction caused by cuprizone modeling (p<0.05). In addition, GFAP was elevated after cuprizone modeling compared with control (p<0.05), and was significantly inhibited by olig2 silence compared with model (p<0.05). Conclusions Cuprizone-induced schizophrenia-like symptoms involved olig2 upregulation. The silence of olig2 could prevent changes, likely through regulating MBP, CNPase, and GFAP expressions.
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Affiliation(s)
- Hongxia Liu
- Jining Neuro-Psychiatric Hospital, Jining, Shandong, China (mainland)
| | - Jinguo Zhai
- Jining Medical University, Jining, Shandong, China (mainland)
| | - Bin Wang
- Jining Neuro-Psychiatric Hospital, Jining, Shandong, China (mainland)
| | - Maosheng Fang
- Wuhan Mental Health Center, Wuhan, Hubei, China (mainland)
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32
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Cui X, Niu W, Kong L, He M, Jiang K, Chen S, Zhong A, Li W, Lu J, Zhang L. Can lncRNAs be indicators for the diagnosis of early onset or acute schizophrenia and distinguish major depressive disorder and generalized anxiety disorder?-A cross validation analysis. Am J Med Genet B Neuropsychiatr Genet 2017; 174:335-341. [PMID: 28371072 DOI: 10.1002/ajmg.b.32521] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Accepted: 12/09/2016] [Indexed: 11/09/2022]
Abstract
Depression and anxiety are apparent symptoms in the early onset or acute phase of schizophrenia (SZ), which complicate timely diagnosis and treatment. It is imperative to seek an indicator to distinguish schizophrenia from depressive and anxiety disorders. Using lncRNA microarray profiling and RT-PCR, three up-regulated lncRNAs in SZ, six down-regulated lncRNAs in major depressive disorder (MDD), and three up-regulated lncRNAs in generalized anxiety disorder (GAD) had been identified as potential biomarkers. All the lncRNAs were, then, cross-validated in 40 SZ patients, 40 MDD patients, 40 GAD patients, and 40 normal controls. Compared with controls, three up-regulated SZ lncRNAs had a significantly down-regulated expression in GAD, and no remarkable differences existed between MDD and the controls. Additionally, the six down-regulated MDD lncRNAs were expressed in an opposite fashion in SZ, and the expression of the three up-regulated GAD lncRNAs were significantly different between SZ and GAD. These results indicate that the expression patterns of the three up-regulated SZ lncRNAs could not be completely replicated in MDD and GAD, and vice versa. Thus, these three SZ lncRNAs seem to be established as potential indicators for diagnosis of schizophrenia and distinguishing it from MDD and GAD. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Xuelian Cui
- Department of Health Care, Changzhou Maternal and Child Health Care Hospital Affiliated With Nanjing Medical University, Changzhou, People's Republic of China
| | - Wei Niu
- Department of Rehabilitation, No. 102 Hospital of the Chinese People's Liberation Army, Changzhou, People's Republic of China
| | - Lingming Kong
- Prevention and Treatment Center for Psychological Diseases, No. 102 Hospital of the Chinese People's Liberation Army, Changzhou, People's Republic of China
| | - Mingjun He
- Prevention and Treatment Center for Psychological Diseases, No. 102 Hospital of the Chinese People's Liberation Army, Changzhou, People's Republic of China
| | - Kunhong Jiang
- Prevention and Treatment Center for Psychological Diseases, No. 102 Hospital of the Chinese People's Liberation Army, Changzhou, People's Republic of China
| | - Shengdong Chen
- Department of Neurology, No. 102 Hospital of the Chinese People's Liberation Army, Changzhou, People's Republic of China
| | - Aifang Zhong
- Clinical Laboratory, No. 102 Hospital of the Chinese People's Liberation Army, Changzhou, People's Republic of China
| | - Wanshuai Li
- Gopath Diagnostic Laboratory Co. Ltd., No. 801, Changzhou, People's Republic of China
| | - Jim Lu
- Gopath Diagnostic Laboratory Co. Ltd., No. 801, Changzhou, People's Republic of China.,Gopath Laboratories LLC, 1351 Barclay Blvd, Buffalo Grove, Illinois
| | - Liyi Zhang
- Prevention and Treatment Center for Psychological Diseases, No. 102 Hospital of the Chinese People's Liberation Army, Changzhou, People's Republic of China
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33
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Cui X, Niu W, Kong L, He M, Jiang K, Chen S, Zhong A, Zhang Q, Li W, Lu J, Zhang L. Long noncoding RNA as an indicator differentiating schizophrenia from major depressive disorder and generalized anxiety disorder in nonpsychiatric hospital. Biomark Med 2017; 11:221-228. [PMID: 28092449 DOI: 10.2217/bmm-2016-0317] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
AIM Depression and anxiety are common symptoms for schizophrenia (SZ) in the early onset. This study aimed to determine whether long noncoding RNAs (lncRNAs) can be indicators for diagnosing SZ in nonpsychiatric hospitals. MATERIALS & METHODS Three upregulated SZ lncRNAs, six downregulated major depressive disorder (MDD) lncRNAs and three upregulated generalized anxiety disorder (GAD) lncRNAs were cross-validated in 45 SZ patients, 48 MDD patients, 52 GAD patients and 40 controls by reverse transcription-PCR. RESULTS Three SZ lncRNAs were significantly downregulated in GAD patients. The expression of the six MDD lncRNAs showed an opposite trend in SZ patients, and the three GAD lncRNAs also showed significant differences between SZ and GAD patients. CONCLUSION The three upregulated SZ lncRNAs are not entirely replicated in MDD and GAD patients and could be potential indicators for distinguishing SZ from MDD and GAD in nonpsychiatric hospital.
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Affiliation(s)
- Xuelian Cui
- Department of Health Care, Changzhou Maternity & Child Health Care Hospital Affiliated with Nanjing Medical University, Changzhou, People's Republic of China
| | - Wei Niu
- Department of Rehabilitation, No. 102 Hospital of the Chinese People's Liberation Army, Changzhou, People's Republic of China
| | - Lingming Kong
- Prevention & Treatment Center for Psychological Diseases, No. 102 Hospital of the Chinese People's Liberation Army, Changzhou, People's Republic of China
| | - Mingjun He
- Prevention & Treatment Center for Psychological Diseases, No. 102 Hospital of the Chinese People's Liberation Army, Changzhou, People's Republic of China
| | - Kunhong Jiang
- Prevention & Treatment Center for Psychological Diseases, No. 102 Hospital of the Chinese People's Liberation Army, Changzhou, People's Republic of China
| | - Shengdong Chen
- Department of Neurology, No. 102 Hospital of the Chinese People's Liberation Army, Changzhou, People's Republic of China
| | - Aifang Zhong
- Clinical Laboratory, No. 102 Hospital of the Chinese People's Liberation Army, Changzhou, People's Republic of China
| | - Qiaoli Zhang
- Department of Special Ward, The First People's Hospital of Changzhou, Changzhou, People's Republic of China
| | - Wanshuai Li
- Gopath Diagnostic Laboratory Co. Ltd, No. 801, Changzhou, People's Republic of China
| | - Jim Lu
- Gopath Diagnostic Laboratory Co. Ltd, No. 801, Changzhou, People's Republic of China.,Gopath Laboratories LLC, 1351 Barclay Blvd, Buffalo Grove, IL 60089, USA
| | - Liyi Zhang
- Prevention & Treatment Center for Psychological Diseases, No. 102 Hospital of the Chinese People's Liberation Army, Changzhou, People's Republic of China
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