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Solomon P, Kaurani L, Budde M, Guiné JB, Krüger DM, Riquin K, Pena T, Burkhardt S, Fourgeux C, Adorjan K, Heilbronner M, Kalman JL, Kohshour MO, Papiol S, Reich-Erkelenz D, Schaupp SK, Schulte EC, Senner F, Vogl T, Anghelescu IG, Arolt V, Baune BT, Dannlowski U, Dietrich DE, Fallgatter AJ, Figge C, Juckel G, Konrad C, Reimer J, Reininghaus EZ, Schmauß M, Spitzer C, Wiltfang J, Zimmermann J, Schütz AL, Sananbenesi F, Sauvaget A, Falkai P, Schulze TG, Fischer A, Heilbronner U, Poschmann J. Integrative analysis of miRNA expression profiles reveals distinct and common molecular mechanisms underlying broad diagnostic groups of severe mental disorders. Mol Psychiatry 2025:10.1038/s41380-025-03018-9. [PMID: 40263528 DOI: 10.1038/s41380-025-03018-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 03/03/2025] [Accepted: 04/04/2025] [Indexed: 04/24/2025]
Abstract
Micro RNAs (miRNAs) play a crucial role as regulators of various biological processes and have been implicated in the pathogenesis of mental disorders such as schizophrenia and bipolar disorders. In this study, we investigate the expression patterns of miRNAs in the PsyCourse Study (n = 1786), contrasting three broad diagnostic groups: Psychotic (Schizophrenia-spectrum disorders), Affective (Bipolar Disorder I, II and recurrent Depression), and neurotypic healthy individuals. Through comprehensive analyses, including differential miRNA expression, miRNA transcriptome-wide association study (TWAS), and predictive modelling, we identified multiple miRNAs unique to Psychotic and Affective groups as well as shared by both. Furthermore, we performed integrative analysis to identify the target genes of the dysregulated miRNAs and elucidate their potential roles in psychosis. Our findings reveal significant alterations of multiple miRNAs such as miR-584-3p and miR-99b-5p across the studied diagnostic groups, highlighting their role as molecular correlates. Additionally, the miRNA TWAS analysis discovered previously known and novel genetically dysregulated miRNAs confirming the relevance in the etiology of the diagnostic groups. Importantly, novel factors and putative molecular mechanisms underlying these groups were uncovered through the integration of miRNA-target gene interactions. This comprehensive investigation provides valuable insights into the molecular underpinnings of severe mental disorders, shedding light on the complex regulatory networks involving miRNAs.
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Affiliation(s)
- Pierre Solomon
- Nantes Université, CHU-Nantes, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, Nantes, France
| | - Lalit Kaurani
- Department for Systems Medicine and Epigenetics, German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
| | - Monika Budde
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
| | - Jean-Baptiste Guiné
- Nantes Université, CHU-Nantes, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, Nantes, France
| | - Dennis Manfred Krüger
- Department for Systems Medicine and Epigenetics, German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
| | - Kevin Riquin
- Nantes Université, CHU-Nantes, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, Nantes, France
| | - Tonatiuh Pena
- Department for Systems Medicine and Epigenetics, German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
| | - Susanne Burkhardt
- Department for Systems Medicine and Epigenetics, German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
| | - Cynthia Fourgeux
- Nantes Université, CHU-Nantes, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, Nantes, France
| | - Kristina Adorjan
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Maria Heilbronner
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
| | - Janos L Kalman
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
| | - Mojtaba Oraki Kohshour
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
- Department of Immunology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Sergi Papiol
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Daniela Reich-Erkelenz
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Sabrina K Schaupp
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
| | - Eva C Schulte
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Bonn, University of Bonn, Bonn, Germany
- German Center for Mental Health (DZPG), partner site Munich/Augsburg, Munich, Germany
| | - Fanny Senner
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
- Centers for Psychiatry Suedwuerttemberg, Ravensburg, Ravensburg, Germany
| | - Thomas Vogl
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
| | - Ion-George Anghelescu
- Department of Psychiatry and Psychotherapy, Mental Health Institute Berlin, Berlin, Germany
| | - Volker Arolt
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Bernhardt T Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, University of Melbourne, Melbourne, Australia
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Australia
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Detlef E Dietrich
- AMEOS Clinical Center Hildesheim, Hildesheim, Germany
- Center for Systems Neuroscience Hannover, Hannover, Germany
- Department of Psychiatry, Medical School of Hannover, Hannover, Germany
| | - Andreas J Fallgatter
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), University of Tübingen, Tübingen, Germany
- German Center for Mental Health (DZPG), partner site Tübingen, Tübingen, Germany
| | - Christian Figge
- Karl-Jaspers Clinic, European Medical School Oldenburg-Groningen, Oldenburg, Germany
| | - Georg Juckel
- Department of Psychiatry, Ruhr University Bochum, LWL University Hospital, Bochum, Germany
| | - Carsten Konrad
- Department of Psychiatry and Psychotherapy, Agaplesion Diakonieklinikum, Rotenburg, Germany
| | - Jens Reimer
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Psychosocial Medicine, Academic Teaching Hospital Itzehoe, Itzehoe, Germany
| | - Eva Z Reininghaus
- Division of Psychiatry and Psychotherapeutic Medicine, Research Unit for Bipolar Affective Disorder, Medical University of Graz, Graz, Austria
| | - Max Schmauß
- Clinic for Psychiatry, Psychotherapy and Psychosomatics, Augsburg University, Medical Faculty, Bezirkskrankenhaus Augsburg, Augsburg, Germany
| | - Carsten Spitzer
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Rostock, Rostock, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- German Center for Neurodegenerative Disease (DZNE), Göttingen, Germany
- Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Jörg Zimmermann
- Psychiatrieverbund Oldenburger Land GMBH, Karl-Jaspers-Klinik, Bad Zwischenahn, Germany
| | - Anna-Lena Schütz
- Research Group for Genome Dynamics in Brain Diseases, German Center for Neurodegenerative Diseases, Göttingen, Germany
| | - Farahnaz Sananbenesi
- Research Group for Genome Dynamics in Brain Diseases, German Center for Neurodegenerative Diseases, Göttingen, Germany
| | - Anne Sauvaget
- Nantes Université, CHU Nantes, Movement - Interactions - Performance, MIP, UR 4334, Nantes, France
| | - Peter Falkai
- Max Planck Institute of Psychiatry, Munich, Germany
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
- German Center for Mental Health (DZPG), partner site Munich/Augsburg, Munich, Germany
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
- German Center for Mental Health (DZPG), partner site Munich/Augsburg, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
| | - André Fischer
- Department for Systems Medicine and Epigenetics, German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Göttingen, Germany
| | - Urs Heilbronner
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
| | - Jeremie Poschmann
- Nantes Université, CHU-Nantes, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, Nantes, France.
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Yao TT, Chen L, Du Y, Jiang ZY, Cheng Y. MicroRNAs as Regulators, Biomarkers, and Therapeutic Targets in Autism Spectrum Disorder. Mol Neurobiol 2025; 62:5039-5056. [PMID: 39503812 DOI: 10.1007/s12035-024-04582-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2024] [Accepted: 10/22/2024] [Indexed: 03/05/2025]
Abstract
The pathogenesis of autism spectrum disorder (ASD) is complex and is mainly influenced by genetic and environmental factors. Some research has indicated that environmental aspects may interplay with genetic aspects to enhance the risk, and microRNAs (miRNAs) are probably factors in explaining this link between heredity and the environment. MiRNAs are single-stranded noncoding RNAs that can regulate gene expression at the posttranscriptional level. Some research has indicated that miRNAs are closely linked to neurological diseases. Many aberrantly expressed miRNAs have been observed in autism, and these dysregulated miRNAs are expected to be potential biomarkers and provide new strategies for the treatment of this disease. This article reviews the research progress of miRNAs in autism, including their biosynthesis and function. It is found that some miRNAs show aberrant expression patterns in brain tissue and peripheral blood of autistic patients, which may serve as biomarkers of the disease. In addition, the article explores the novel role of exosomes as carriers of miRNAs with the ability to cross the blood-brain barrier and unique expression profiles, offering new possibilities for diagnostic and therapeutic interventions in ASD. The potential of miRNAs in exosomes as diagnostic markers for ASD is specifically highlighted, as well as the prospect of using engineered exosome-encapsulated miRNAs for targeted therapies.
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Affiliation(s)
- Tong-Tong Yao
- Center On Translational Neuroscience, Institute of National Security, Minzu University of China, 27th South Zhongguancun Avenue, Beijing, 100081, China
- School of Ethnology and Sociology, Minzu University of China, Beijing, China
| | - Lei Chen
- Key Laboratory of Ethnomedicine of Ministry of Education, School of Pharmacy, Minzu University of China, Beijing, China
| | - Yang Du
- Key Laboratory of Ethnomedicine of Ministry of Education, School of Pharmacy, Minzu University of China, Beijing, China
| | - Zhong-Yong Jiang
- Department of Medical Laboratory, Affiliated Cancer Hospital of Chengdu Medical College, Chengdu Seventh People's Hospital, Chengdu, China.
| | - Yong Cheng
- Center On Translational Neuroscience, Institute of National Security, Minzu University of China, 27th South Zhongguancun Avenue, Beijing, 100081, China.
- Center On Translational Neuroscience, College of Life and Environmental Sciences, Minzu University of China, Beijing, China.
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Yilmaz Sukranli Z, Korkmaz Bayram K, Mehmetbeyoglu E, Doganyigit Z, Beyaz F, Sener EF, Taheri S, Ozkul Y, Rassoulzadegan M. Trans Species RNA Activity: Sperm RNA of the Father of an Autistic Child Programs Glial Cells and Behavioral Disorders in Mice. Biomolecules 2024; 14:201. [PMID: 38397438 PMCID: PMC10886764 DOI: 10.3390/biom14020201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 02/01/2024] [Accepted: 02/03/2024] [Indexed: 02/25/2024] Open
Abstract
Recently, we described the alteration of six miRNAs in the serum of autistic children, their fathers, mothers, siblings, and in the sperm of autistic mouse models. Studies in model organisms suggest that noncoding RNAs participate in transcriptional modulation pathways. Using mice, approaches to alter the amount of RNA in fertilized eggs enable in vivo intervention at an early stage of development. Noncoding RNAs are very numerous in spermatozoa. Our study addresses a fundamental question: can the transfer of RNA content from sperm to eggs result in changes in phenotypic traits, such as autism? To explore this, we used sperm RNA from a normal father but with autistic children to create mouse models for autism. Here, we induced, in a single step by microinjecting sperm RNA into fertilized mouse eggs, a transcriptional alteration with the transformation in adults of glial cells into cells affected by astrogliosis and microgliosis developing deficiency disorders of the 'autism-like' type in mice born following these manipulations. Human sperm RNA alters gene expression in mice, and validates the possibility of non-Mendelian inheritance in autism.
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Affiliation(s)
- Zeynep Yilmaz Sukranli
- Betul-Ziya Eren Genome and Stem Cell Center, Erciyes University, Kayseri 38039, Turkey
- Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri 38039, Turkey
| | - Keziban Korkmaz Bayram
- Betul-Ziya Eren Genome and Stem Cell Center, Erciyes University, Kayseri 38039, Turkey
- Department of Medical Genetics, Faculty of Medicine, Yıldırım Beyazıt University, Ankara 06010, Turkey
| | - Ecmel Mehmetbeyoglu
- Betul-Ziya Eren Genome and Stem Cell Center, Erciyes University, Kayseri 38039, Turkey
| | - Zuleyha Doganyigit
- Histology and Embryology Department, Medical Faculty, Yozgat Bozok University, Yozgat 66700, Turkey
| | - Feyzullah Beyaz
- Histology and Embryology Department, Faculty of Veterinary, Erciyes University, Kayseri 38039, Turkey
| | - Elif Funda Sener
- Betul-Ziya Eren Genome and Stem Cell Center, Erciyes University, Kayseri 38039, Turkey
- Department of Medical Biology, Faculty of Medicine, Erciyes University, Kayseri 38039, Turkey
| | - Serpil Taheri
- Betul-Ziya Eren Genome and Stem Cell Center, Erciyes University, Kayseri 38039, Turkey
- Department of Medical Biology, Faculty of Medicine, Erciyes University, Kayseri 38039, Turkey
| | - Yusuf Ozkul
- Betul-Ziya Eren Genome and Stem Cell Center, Erciyes University, Kayseri 38039, Turkey
- Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri 38039, Turkey
| | - Minoo Rassoulzadegan
- Betul-Ziya Eren Genome and Stem Cell Center, Erciyes University, Kayseri 38039, Turkey
- The National Institute of Health and Medical Research (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Côte d’Azur, Inserm, 06000 Nice, France
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4
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Qiu S, Qiu Y, Li Y, Zhu X, Liu Y, Qiao Y, Cheng Y, Liu Y. Nexus between genome-wide copy number variations and autism spectrum disorder in Northeast Han Chinese population. BMC Psychiatry 2023; 23:96. [PMID: 36750796 PMCID: PMC9906952 DOI: 10.1186/s12888-023-04565-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 01/23/2023] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND Autism spectrum disorder (ASD) is a common neurodevelopmental disorder, with an increasing prevalence worldwide. Copy number variation (CNV), as one of genetic factors, is involved in ASD etiology. However, there exist substantial differences in terms of location and frequency of some CNVs in the general Asian population. Whole-genome studies of CNVs in Northeast Han Chinese samples are still lacking, necessitating our ongoing work to investigate the characteristics of CNVs in a Northeast Han Chinese population with clinically diagnosed ASD. METHODS We performed a genome-wide CNVs screening in Northeast Han Chinese individuals with ASD using array-based comparative genomic hybridization. RESULTS We found that 22 kinds of CNVs (6 deletions and 16 duplications) were potentially pathogenic. These CNVs were distributed in chromosome 1p36.33, 1p36.31, 1q42.13, 2p23.1-p22.3, 5p15.33, 5p15.33-p15.2, 7p22.3, 7p22.3-p22.2, 7q22.1-q22.2, 10q23.2-q23.31, 10q26.2-q26.3, 11p15.5, 11q25, 12p12.1-p11.23, 14q11.2, 15q13.3, 16p13.3, 16q21, 22q13.31-q13.33, and Xq12-q13.1. Additionally, we found 20 potential pathogenic genes of ASD in our population, including eight protein coding genes (six duplications [DRD4, HRAS, OPHN1, SHANK3, SLC6A3, and TSC2] and two deletions [CHRNA7 and PTEN]) and 12 microRNAs-coding genes (ten duplications [MIR202, MIR210, MIR3178, MIR339, MIR4516, MIR4717, MIR483, MIR675, MIR6821, and MIR940] and two deletions [MIR107 and MIR558]). CONCLUSION We identified CNVs and genes implicated in ASD risks, conferring perception to further reveal ASD etiology.
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Affiliation(s)
- Shuang Qiu
- grid.64924.3d0000 0004 1760 5735Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021 Jilin China ,grid.64924.3d0000 0004 1760 5735Department of Laboratory Medicine, Jilin University Hospital, Changchun, 130000 Jilin China
| | - Yingjia Qiu
- grid.415954.80000 0004 1771 3349China-Japan Union Hospital, Jilin University, Changchun, 130033 Jilin China
| | - Yong Li
- grid.64924.3d0000 0004 1760 5735Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021 Jilin China
| | - Xiaojuan Zhu
- grid.27446.330000 0004 1789 9163The Key Laboratory of Molecular Epigenetics of Ministry of Education, Institute of Cytology and Genetics, Northeast Normal University, Changchun, 130021 Jilin China
| | - Yunkai Liu
- grid.430605.40000 0004 1758 4110Department of Cardiovascular Diseases, the First Hospital of Jilin University, Changchun, 130021 Jilin China ,Key Laboratory for Cardiovascular Mechanism of Traditional Chinese Medicine, Changchun, 130021 Jilin China ,grid.430605.40000 0004 1758 4110Institute of Translational Medicine, the First Hospital of Jilin University, Changchun, 130021 Jilin China
| | - Yichun Qiao
- grid.64924.3d0000 0004 1760 5735Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021 Jilin China
| | - Yi Cheng
- Department of Cardiovascular Diseases, the First Hospital of Jilin University, Changchun, 130021, Jilin, China. .,Key Laboratory for Cardiovascular Mechanism of Traditional Chinese Medicine, Changchun, 130021, Jilin, China. .,Institute of Translational Medicine, the First Hospital of Jilin University, Changchun, 130021, Jilin, China.
| | - Yawen Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
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Li J, Xu X, Liu J, Zhang S, Tan X, Li Z, Zhang J, Wang Z. Decoding microRNAs in autism spectrum disorder. MOLECULAR THERAPY. NUCLEIC ACIDS 2022; 30:535-546. [PMID: 36457702 PMCID: PMC9685394 DOI: 10.1016/j.omtn.2022.11.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Autism spectrum disorder (ASD)-a congenital mental disorder accompanied by social dysfunction and stereotyped behaviors-has attracted a great deal of attention worldwide. A combination of genetic and environmental factors may determine the pathogenesis of ASD. Recent research of multiple ASD models indicates that microRNAs (miRNAs) play a central role at the onset and progression of ASD by repressing the translation of key mRNAs in neural development and functions. As such, miRNAs show great potential to serve as biomarkers for ASD diagnosis or prognosis and therapeutic targets for the treatment of ASD. In this review, we discuss the regulatory mechanisms by which miRNAs influence ASD phenotypes through various in vivo and in vitro models, including necropsy specimens, animal models, cellular models, and, in particular, induced pluripotent stem cells derived from patients with ASD. We then discuss the potential of miRNA-based therapeutic strategies for ASD currently being evaluated in preclinical studies.
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Affiliation(s)
- Jinyu Li
- Department of Genetics and Cell Biology, Basic Medical College, Qingdao University, Qingdao, Shandong 266071, China
| | - Xiaohui Xu
- Department of Genetics and Cell Biology, Basic Medical College, Qingdao University, Qingdao, Shandong 266071, China
| | - Jiane Liu
- Department of Reproductive Medicine, the Affiliated Hospital of Qingdao University, Qingdao, Shandong 266000, China
| | - Sudan Zhang
- Department of Genetics and Cell Biology, Basic Medical College, Qingdao University, Qingdao, Shandong 266071, China
| | - Xiaohua Tan
- Department of Genetics and Cell Biology, Basic Medical College, Qingdao University, Qingdao, Shandong 266071, China
| | - Zhiqiang Li
- The Affiliated Hospital of Qingdao University & the Biomedical Sciences Institute of Qingdao University, Qingdao Branch of SJTU Bio-X Institutes, Qingdao University, Qingdao, Shandong 266003, China
| | - Jian Zhang
- Department of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Zheng Wang
- Department of Genetics and Cell Biology, Basic Medical College, Qingdao University, Qingdao, Shandong 266071, China
- Department of Reproductive Medicine, the Affiliated Hospital of Qingdao University, Qingdao, Shandong 266000, China
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Mitrovic K, Zivotic I, Kolic I, Djordjevic A, Zakula J, Filipovic Trickovic J, Zivkovic M, Stankovic A, Jovanovic I. Identification and functional interpretation of miRNAs affected by rare CNVs in CAKUT. Sci Rep 2022; 12:17746. [PMID: 36273030 PMCID: PMC9587983 DOI: 10.1038/s41598-022-22749-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 10/19/2022] [Indexed: 01/18/2023] Open
Abstract
Rare copy number variants (CNVs) are among the most common genomic disorders underlying CAKUT. miRNAs located in rare CNVs represent well-founded functional variants for human CAKUT research. The study aimed to identify and functionally interpret miRNAs most frequently affected by rare CNVs in CAKUT and to estimate the overall burden of rare CNVs on miRNA genes in CAKUT. The additional aim of this study was to experimentally confirm the effect of a rare CNV in CAKUT on candidate miRNA's expression and the subsequent change in mRNA levels of selected target genes. A database of CAKUT-associated rare CNV regions, created by literature mining, was used for mapping of the miRNA precursors. miRNAs and miRNA families, most frequently affected by rare CAKUT-associated CNVs, have been subjected to bioinformatic analysis. CNV burden analysis was performed to identify chromosomes with over/underrepresentation of miRNA genes in rare CNVs associated with CAKUT. A functional study was performed on HEK293 MIR484+/- KO and HEK293 WT cell lines, followed by the analysis of relative miRNA and mRNA target gene levels. 80% of CAKUT patients with underlying rare CNV had at least one miRNA gene overlapping the identified CNV. Network analysis of the most frequently affected miRNAs has revealed the dominant regulation of the two miRNAs, hsa-miR-484 and hsa-miR-185-5p. Additionally, miR-548 family members have shown substantial enrichment in rare CNVs in CAKUT. An over/underrepresentation of miRNA genes in rare CNVs associated with CAKUT was observed in multiple chromosomes, such as chr16, chr20, and chr21. A significant 0.37 fold downregulation of hsa-miR-484, followed by a notable upregulation of MDM2 and APAF1 and downregulation of NOTCH3 was detected in HEK293 MIR484+/- KO compared to HEK293 WT cell lines, supporting the study hypothesis. miRNA genes are frequently affected by rare CNVs in CAKUT patients. Understanding the potential of CNV-affected miRNAs to participate in CAKUT as genetic drivers represent a crucial implication for the development of novel therapeutic approaches.
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Affiliation(s)
- Kristina Mitrovic
- grid.7149.b0000 0001 2166 9385Department of Radiobiology and Molecular Genetics, “Vinča” Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Ivan Zivotic
- grid.7149.b0000 0001 2166 9385Department of Radiobiology and Molecular Genetics, “Vinča” Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Ivana Kolic
- grid.7149.b0000 0001 2166 9385Department of Radiobiology and Molecular Genetics, “Vinča” Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Ana Djordjevic
- grid.7149.b0000 0001 2166 9385Department of Radiobiology and Molecular Genetics, “Vinča” Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Jelena Zakula
- grid.7149.b0000 0001 2166 9385Department of Molecular Biology and Endocrinology, “Vinča” Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Jelena Filipovic Trickovic
- grid.7149.b0000 0001 2166 9385Department of Physical Chemistry, “Vinča” Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Maja Zivkovic
- grid.7149.b0000 0001 2166 9385Department of Radiobiology and Molecular Genetics, “Vinča” Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Aleksandra Stankovic
- grid.7149.b0000 0001 2166 9385Department of Radiobiology and Molecular Genetics, “Vinča” Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Ivan Jovanovic
- grid.7149.b0000 0001 2166 9385Department of Radiobiology and Molecular Genetics, “Vinča” Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
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7
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Fu Y, Zhou Y, Zhang YL, Zhao B, Zhang XL, Zhang WT, Lu YJ, Lu A, Zhang J, Zhang J. Loss of neurodevelopmental-associated miR-592 impairs neurogenesis and causes social interaction deficits. Cell Death Dis 2022; 13:292. [PMID: 35365601 PMCID: PMC8976077 DOI: 10.1038/s41419-022-04721-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 02/21/2022] [Accepted: 03/11/2022] [Indexed: 11/23/2022]
Abstract
microRNA-592 (miR-592) has been linked to neurogenesis, but the influence of miR-592 knockout in vivo remains unknown. Here, we report that miR-592 knockout represses IPC-to-mature neuron transition, impairs motor coordination and reduces social interaction. Combining the RNA-seq and tandem mass tagging-based quantitative proteomics analysis (TMT protein quantification) and luciferase reporter assays, we identified MeCP2 as the direct targetgene of miR-592 in the mouse cortex. In Tg(MECP2) mice, lipofection of miR-592 efficiently reduced MECP2 expression in the brains of Tg(MECP2) mice at E14.5. Furthermore, treatment with miR-592 partially ameliorated the autism-like phenotypes observed in adult Tg(MECP2) mice. The findings demonstrate that miR-592 might play a novel role in treating the neurodevelopmental-associated disorder.
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Affiliation(s)
- Yu Fu
- Research Centre for Translational Medicine at East Hospital, School of Life Science and Technology, Tongji University, 200010, Shanghai, China
| | - Yang Zhou
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopaedic Department of Tongji Hospital, School of Medicine, Tongji University, 200065, Shanghai, China
| | - Yuan-Lin Zhang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopaedic Department of Tongji Hospital, School of Medicine, Tongji University, 200065, Shanghai, China
| | - Bo Zhao
- Research Centre for Translational Medicine at East Hospital, School of Life Science and Technology, Tongji University, 200010, Shanghai, China
| | - Xing-Liao Zhang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopaedic Department of Tongji Hospital, School of Medicine, Tongji University, 200065, Shanghai, China
| | - Wan-Ting Zhang
- Research Centre for Translational Medicine at East Hospital, School of Life Science and Technology, Tongji University, 200010, Shanghai, China
| | - Yi-Jun Lu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopaedic Department of Tongji Hospital, School of Medicine, Tongji University, 200065, Shanghai, China
| | - Aiping Lu
- Research Centre for Translational Medicine at East Hospital, School of Life Science and Technology, Tongji University, 200010, Shanghai, China
| | - Jun Zhang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopaedic Department of Tongji Hospital, School of Medicine, Tongji University, 200065, Shanghai, China.
- Research Centre for Translational Medicine at East Hospital, School of Medicine, Tongji University, 200010, Shanghai, China.
- Shanghai Institute of Stem Cell Research and Clinical Translation, 200092, Shanghai, China.
| | - Jing Zhang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopaedic Department of Tongji Hospital, School of Medicine, Tongji University, 200065, Shanghai, China.
- Shanghai Institute of Stem Cell Research and Clinical Translation, 200092, Shanghai, China.
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8
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MicroRNA Expression Profiles in Autism Spectrum Disorder: Role for miR-181 in Immunomodulation. J Pers Med 2021; 11:jpm11090922. [PMID: 34575699 PMCID: PMC8469245 DOI: 10.3390/jpm11090922] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 09/07/2021] [Accepted: 09/15/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND MicroRNAs (miRNAs) are important regulators of molecular pathways in psychiatric disease. Here, we examine differential miRNAs expression in lymphoblastoid cell lines (LCLs) derived from 10 individuals with autism spectrum disorder (ASD) and compare them to seven typically developing unrelated age- and gender-matched controls and 10 typically developing siblings. Small RNAseq analysis identified miRNAs, and selected miRNAs were validated using quantitative real-time polymerase reaction (qRT-PCR). KEGG analysis identified target pathways, and selected predicted mRNAs were validated using qRT-PCR. RESULTS Small RNAseq analysis identified that multiple miRNAs differentiated ASD from unrelated controls and ASD from typically developing siblings, with only one, hsa-miR-451a_R-1, being in common. Verification with qRT-PCR showed that miR-320a differentiated ASD from both sibling and unrelated controls and that several members of the miR-181 family differentiated ASD from unrelated controls. Differential expression of AKT2, AKT3, TNF α and CamKinase II predicted by KEGG analysis was verified by qRT-PCR. Expression of CamKinase II βwas found to be correlated with the severity of stereotyped behavior of the ASD participants. CONCLUSIONS This study provides insight into the mechanisms regulating molecular pathways in individuals with ASD and identifies differentiated regulated genes involved in both the central nervous system and the immune system.
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9
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Juvale IIA, Che Has AT. The Potential Role of miRNAs as Predictive Biomarkers in Neurodevelopmental Disorders. J Mol Neurosci 2021; 71:1338-1355. [PMID: 33774758 DOI: 10.1007/s12031-021-01825-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 03/02/2021] [Indexed: 12/22/2022]
Abstract
Neurodevelopmental disorders are defined as a set of abnormal brain developmental conditions marked by the early childhood onset of cognitive, behavioral, and functional deficits leading to memory and learning problems, emotional instability, and impulsivity. Autism spectrum disorder, attention-deficit/hyperactivity disorder, Tourette syndrome, fragile X syndrome, and Down's syndrome are a few known examples of neurodevelopmental disorders. Although they are relatively common in both developed and developing countries, very little is currently known about their underlying molecular mechanisms. Both genetic and environmental factors are known to increase the risk of neurodevelopmental disorders. Current diagnostic and screening tests for neurodevelopmental disorders are not reliable; hence, individuals with neurodevelopmental disorders are often diagnosed in the later stages. This negatively affects their prognosis and quality of life, prompting the need for a better diagnostic biomarker. Recent studies on microRNAs and their altered regulation in diseases have shed some light on the possible role they could play in the development of the central nervous system. This review attempts to elucidate our current understanding of the role that microRNAs play in neurodevelopmental disorders with the hope of utilizing them as potential biomarkers in the future.
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Affiliation(s)
- Iman Imtiyaz Ahmed Juvale
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Ahmad Tarmizi Che Has
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia.
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10
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Narayanan R, Schratt G. miRNA regulation of social and anxiety-related behaviour. Cell Mol Life Sci 2020; 77:4347-4364. [PMID: 32409861 PMCID: PMC11104968 DOI: 10.1007/s00018-020-03542-7] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 03/31/2020] [Accepted: 04/27/2020] [Indexed: 12/21/2022]
Abstract
Neuropsychiatric disorders, including autism spectrum disorders (ASD) and anxiety disorders are characterized by a complex range of symptoms, including social behaviour and cognitive deficits, depression and repetitive behaviours. Although the mechanisms driving pathophysiology are complex and remain largely unknown, advances in the understanding of gene association and gene networks are providing significant clues to their aetiology. In recent years, small noncoding RNA molecules known as microRNA (miRNA) have emerged as a new gene regulatory layer in the pathophysiology of mental illness. These small RNAs can bind to the 3'-UTR of mRNA thereby negatively regulating gene expression at the post-transcriptional level. Their ability to regulate hundreds of target mRNAs simultaneously predestines them to control the activity of entire cellular pathways, with obvious implications for the regulation of complex processes such as animal behaviour. There is growing evidence to suggest that numerous miRNAs are dysregulated in pathophysiology of neuropsychiatric disorders, and there is strong genetic support for the association of miRNA genes and their targets with several of these conditions. This review attempts to cover the most relevant microRNAs for which an important contribution to the control of social and anxiety-related behaviour has been demonstrated by functional studies in animal models. In addition, it provides an overview of recent expression profiling and genetic association studies in human patient-derived samples in an attempt to highlight the most promising candidates for biomarker discovery and therapeutic intervention.
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Affiliation(s)
- Ramanathan Narayanan
- Lab of Systems Neuroscience, Department of Health Science and Technology, Institute for Neuroscience, Swiss Federal Institute of Technology ETH, Zurich, Switzerland
| | - Gerhard Schratt
- Lab of Systems Neuroscience, Department of Health Science and Technology, Institute for Neuroscience, Swiss Federal Institute of Technology ETH, Zurich, Switzerland.
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11
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Starr JM. Ageing and epigenetics: linking neurodevelopmental and neurodegenerative disorders. Dev Med Child Neurol 2019; 61:1134-1138. [PMID: 30883719 DOI: 10.1111/dmcn.14210] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/30/2019] [Indexed: 12/18/2022]
Abstract
Epigenetics has classically been recognized as crucial to neurodevelopment and neurodevelopmental disorders. More recently its role in ageing processes, including neurodegenerative disorders has emerged, although far more research is required in this area, particularly in humans. Epigenetic processes that regulate gene expression comprise strata of DNA modification (e.g. methylation), histone modification (e.g. histone acetylation), and mRNA translation (e.g. by microRNAs). These strata are progressively more fluid whereby changes in DNA methylation may persist for many years whilst expression of microRNAs fluctuates over short periods. There is considerable 'cross-talk' between these epigenetic strata. Epigenetic mechanisms are open to parental imprinting and thus they are candidates for linking diseases, not just over the life course, but also intergenerationally. There is a genetic overlap between intellectual disability and cognitive ageing. Epigenetic pathways may strengthen the links between neurodevelopmental disorders and neurodegenerative diseases. WHAT THIS PAPER ADDS: DNA methylation has relevance to both neurological development and neurodegeneration. Links between epigenetics, genotype and phenotype are emerging.
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Affiliation(s)
- John M Starr
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
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12
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Zuo H, Zhang Q, Su S, Chen Q, Yang F, Hu Y. A network pharmacology-based approach to analyse potential targets of traditional herbal formulas: An example of Yu Ping Feng decoction. Sci Rep 2018; 8:11418. [PMID: 30061691 PMCID: PMC6065326 DOI: 10.1038/s41598-018-29764-1] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Accepted: 07/03/2018] [Indexed: 01/08/2023] Open
Abstract
Herbal formulas from traditional Chinese medicines (TCMs) have been extensively used in clinics as effective therapies, but it is still a great challenge to demonstrate the scientific basis for their therapeutic effects at the level of molecular biology. By taking a classic herbal formula (Yu Ping Feng decoction, YPF) as an example, this study developed a novel network pharmacology based method to identify its potential therapeutic targets. First, this study constructed a “targets–(pathways)–targets” (TPT) network in which targets of YPF were connected by relevant pathways; then, this network was decomposed into separate modules with strong internal connections; lastly, the propensity of each module toward different diseases was assessed by a contribution score. On the basis of a significant association between network modules and therapeutic diseases validated by chi-square test (p-value < 0.001), this study identified the network module with the strongest propensity toward therapeutic diseases of YPF. Further, the targets with the highest centrality in this module are recommended as YPF’s potential therapeutic targets. By integrating the complicated “multi-targets–multi-pathways–multi-diseases” relationship of herbal formulas, the method shows promise for identifying its potential therapeutic targets, which could contribute to the modern scientific illustration of TCMs’ traditional clinical applications.
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Affiliation(s)
- Huali Zuo
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau SAR, China
| | - Qianru Zhang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau SAR, China.,School of Pharmacy, Zunyi Medical University, Guizhou, China
| | - Shibing Su
- Research Center for Traditional Chinese Medicine Complexity System, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Qilong Chen
- Research Center for Traditional Chinese Medicine Complexity System, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Fengqing Yang
- School of Chemistry and Chemical Engineering, Chongqing University, Chongqing, China.
| | - Yuanjia Hu
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau SAR, China.
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13
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Ainsbury EA, Samaga D, Della Monaca S, Marrale M, Bassinet C, Burbidge CI, Correcher V, Discher M, Eakins J, Fattibene P, Güçlü I, Higueras M, Lund E, Maltar-Strmecki N, McKeever S, Rääf CL, Sholom S, Veronese I, Wieser A, Woda C, Trompier F. UNCERTAINTY ON RADIATION DOSES ESTIMATED BY BIOLOGICAL AND RETROSPECTIVE PHYSICAL METHODS. RADIATION PROTECTION DOSIMETRY 2018; 178:382-404. [PMID: 28981844 DOI: 10.1093/rpd/ncx125] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Accepted: 08/09/2017] [Indexed: 05/16/2023]
Abstract
Biological and physical retrospective dosimetry are recognised as key techniques to provide individual estimates of dose following unplanned exposures to ionising radiation. Whilst there has been a relatively large amount of recent development in the biological and physical procedures, development of statistical analysis techniques has failed to keep pace. The aim of this paper is to review the current state of the art in uncertainty analysis techniques across the 'EURADOS Working Group 10-Retrospective dosimetry' members, to give concrete examples of implementation of the techniques recommended in the international standards, and to further promote the use of Monte Carlo techniques to support characterisation of uncertainties. It is concluded that sufficient techniques are available and in use by most laboratories for acute, whole body exposures to highly penetrating radiation, but further work will be required to ensure that statistical analysis is always wholly sufficient for the more complex exposure scenarios.
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Affiliation(s)
- Elizabeth A Ainsbury
- Public Health England, Centre for Radiation, Chemical and Environmental Hazards, Chilton, Didcot, Oxford OX11 ORQ, UK
| | - Daniel Samaga
- Bundesamt für Strahlenschutz, Ingolstaedter Landstr. 1, 85764 Oberschleissheim, Germany
| | - Sara Della Monaca
- Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy
| | - Maurizio Marrale
- Department of Physics and Chemistry and Advanced Technologies Network Center, University of Palermo, Viale delle Scienze Edificio 18, 90128 Palermo, Italy
| | - Celine Bassinet
- Institut de radioprotection et de sûreté nucléaire, BP 17 - 92262 Fontenay-aux-Roses Cedex 31, Avenue de la Division Leclerc 92260 Fontenay-aux-Roses, Paris, France
| | - Christopher I Burbidge
- Environmental Protection Agency, Office of Radiological Protection, 3 Clonskeagh Square, Clonskeagh Road, Dublin 14, Ireland
| | - Virgilio Correcher
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Centro de la Moncloa, Complutense, 40, 28040 Madrid, Spain
| | - Michael Discher
- University of Salzburg, Department of Geography and Geology, Hellbrunnerstraße 34, 5020 Salzburg, Austria
| | - Jon Eakins
- Public Health England, Centre for Radiation, Chemical and Environmental Hazards, Chilton, Didcot, Oxford OX11 ORQ, UK
| | - Paola Fattibene
- Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy
| | - Inci Güçlü
- Turkish Atomic Energy Authority, Mustafa Kemal Mahallesi, Dumlupinar Bulvari, No: 192, 06510, Çankaya - Ankara, Turkey
| | - Manuel Higueras
- Basque Center for Applied Mathematics, Alameda de Mazarredo 14, E-48009 Bilbao, Basque Country, Spain
| | - Eva Lund
- Department of Medical and Health Sciences, Linköping University, SE-581 85 Linköping, Sweden
| | - Nadica Maltar-Strmecki
- Ruder Boškovic Institute, Division of Physical Chemistry, Laboratory for Magnetic Resonances, Bijenicka cesta 54,10000 Zagreb, Croatia
| | - Stephen McKeever
- Oklahoma State University, 145 Physical Sciences, Campus, Stillwater, OK 74078, USA
| | - Christopher L Rääf
- Medicinsk strålningsfysik, Institutionen för Translationell Medicin, Lunds universitet, Skånes universitetssjukhus SUS, SE-205 02 Malmö, Sweden
| | - Sergey Sholom
- Oklahoma State University, 145 Physical Sciences, Campus, Stillwater, OK 74078, USA
| | - Ivan Veronese
- Università degli Studi di Milano, Department of Physics and National Institute of Nuclear Physics, Section of Milan, Via Celoria 16, 20133 - Milano, Italy
| | - Albrecht Wieser
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt, Institute of Radiation Protection, Ingolstädter Landstraße 1, D-85764 Neuherberg, Germany
| | - Clemens Woda
- Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt, Institute of Radiation Protection, Ingolstädter Landstraße 1, D-85764 Neuherberg, Germany
| | - Francois Trompier
- Institut de radioprotection et de sûreté nucléaire, BP 17 - 92262 Fontenay-aux-Roses Cedex 31, Avenue de la Division Leclerc 92260 Fontenay-aux-Roses, Paris, France
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14
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Morris G, Puri BK, Frye RE. The putative role of environmental aluminium in the development of chronic neuropathology in adults and children. How strong is the evidence and what could be the mechanisms involved? Metab Brain Dis 2017; 32:1335-1355. [PMID: 28752219 PMCID: PMC5596046 DOI: 10.1007/s11011-017-0077-2] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2017] [Accepted: 07/19/2017] [Indexed: 02/06/2023]
Abstract
The conceptualisation of autistic spectrum disorder and Alzheimer's disease has undergone something of a paradigm shift in recent years and rather than being viewed as single illnesses with a unitary pathogenesis and pathophysiology they are increasingly considered to be heterogeneous syndromes with a complex multifactorial aetiopathogenesis, involving a highly complex and diverse combination of genetic, epigenetic and environmental factors. One such environmental factor implicated as a potential cause in both syndromes is aluminium, as an element or as part of a salt, received, for example, in oral form or as an adjuvant. Such administration has the potential to induce pathology via several routes such as provoking dysfunction and/or activation of glial cells which play an indispensable role in the regulation of central nervous system homeostasis and neurodevelopment. Other routes include the generation of oxidative stress, depletion of reduced glutathione, direct and indirect reductions in mitochondrial performance and integrity, and increasing the production of proinflammatory cytokines in both the brain and peripherally. The mechanisms whereby environmental aluminium could contribute to the development of the highly specific pattern of neuropathology seen in Alzheimer's disease are described. Also detailed are several mechanisms whereby significant quantities of aluminium introduced via immunisation could produce chronic neuropathology in genetically susceptible children. Accordingly, it is recommended that the use of aluminium salts in immunisations should be discontinued and that adults should take steps to minimise their exposure to environmental aluminium.
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Affiliation(s)
- Gerwyn Morris
- Tir Na Nog, Bryn Road seaside 87, Llanelli, Wales, SA15 2LW, UK
| | - Basant K Puri
- Department of Medicine, Imperial College London, Hammersmith Hospital, London, England, W12 0HS, UK.
| | - Richard E Frye
- College of Medicine, Department of Pediatrics, University of Arkansas for Medical Sciences, Arkansas Children's Hospital Research Institute, Little Rock, AR, 72202, USA
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15
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Schultz DJ, Muluhngwi P, Alizadeh-Rad N, Green MA, Rouchka EC, Waigel SJ, Klinge CM. Genome-wide miRNA response to anacardic acid in breast cancer cells. PLoS One 2017; 12:e0184471. [PMID: 28886127 PMCID: PMC5590942 DOI: 10.1371/journal.pone.0184471] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Accepted: 08/24/2017] [Indexed: 02/06/2023] Open
Abstract
MicroRNAs are biomarkers and potential therapeutic targets for breast cancer. Anacardic acid (AnAc) is a dietary phenolic lipid that inhibits both MCF-7 estrogen receptor α (ERα) positive and MDA-MB-231 triple negative breast cancer (TNBC) cell proliferation with IC50s of 13.5 and 35 μM, respectively. To identify potential mediators of AnAc action in breast cancer, we profiled the genome-wide microRNA transcriptome (microRNAome) in these two cell lines altered by the AnAc 24:1n5 congener. Whole genome expression profiling (RNA-seq) and subsequent network analysis in MetaCore Gene Ontology (GO) algorithm was used to characterize the biological pathways altered by AnAc. In MCF-7 cells, 69 AnAc-responsive miRNAs were identified, e.g., increased let-7a and reduced miR-584. Fewer, i.e., 37 AnAc-responsive miRNAs were identified in MDA-MB-231 cells, e.g., decreased miR-23b and increased miR-1257. Only two miRNAs were increased by AnAc in both cell lines: miR-612 and miR-20b; however, opposite miRNA arm preference was noted: miR-20b-3p and miR-20b-5p were upregulated in MCF-7 and MDA-MB-231, respectively. miR-20b-5p target EFNB2 transcript levels were reduced by AnAc in MDA-MB-231 cells. AnAc reduced miR-378g that targets VIM (vimentin) and VIM mRNA transcript expression was increased in AnAc-treated MCF-7 cells, suggesting a reciprocal relationship. The top three enriched GO terms for AnAc-treated MCF-7 cells were B cell receptor signaling pathway and ribosomal large subunit biogenesis and S-adenosylmethionine metabolic process for AnAc-treated MDA-MB-231 cells. The pathways modulated by these AnAc-regulated miRNAs suggest that key nodal molecules, e.g., Cyclin D1, MYC, c-FOS, PPARγ, and SIN3, are targets of AnAc activity.
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Affiliation(s)
- David J. Schultz
- Department of Biology, University of Louisville, Louisville, Kentucky, United States of America
| | - Penn Muluhngwi
- Department of Biochemistry & Molecular Genetics, University of Louisville School of Medicine, Louisville, Kentucky, United States of America
| | - Negin Alizadeh-Rad
- Department of Biochemistry & Molecular Genetics, University of Louisville School of Medicine, Louisville, Kentucky, United States of America
| | - Madelyn A. Green
- Department of Biochemistry & Molecular Genetics, University of Louisville School of Medicine, Louisville, Kentucky, United States of America
| | - Eric C. Rouchka
- Bioinformatics and Biomedical Computing Laboratory, Department of Computer Engineering and Computer Science, Louisville, Kentucky, United States of America
| | - Sabine J. Waigel
- Department of Medicine, University of Louisville School of Medicine, Louisville, Kentucky, United States of America
| | - Carolyn M. Klinge
- Department of Biochemistry & Molecular Genetics, University of Louisville School of Medicine, Louisville, Kentucky, United States of America
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16
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Chen D, Liu L, Luo X, Mu A, Yan L, Chen X, Wang L, Wang N, He H, Zhou H, Zhang T. Effect of SMYD3 on the microRNA expression profile of MCF-7 breast cancer cells. Oncol Lett 2017; 14:1831-1840. [PMID: 28789418 DOI: 10.3892/ol.2017.6320] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Accepted: 03/28/2017] [Indexed: 01/02/2023] Open
Abstract
SET and MYND domain containing 3 (SMYD3) is a histone methyltransferase (HMT) and transcription factor, which serves important roles in carcinogenesis. Numerous downstream target genes of SMYD3 have been identified in previous studies. However, the downstream microRNA (miRNA) s regulated by SMYD3 are yet to be elucidated. In the present study, the results of miRNA microarray demonstrated that 30 miRNA expression profiles were upregulated, whilst 24 miRNAs were downregulated by >2.0-fold in the SMYD3-overexpressed MCF-7 breast cancer cells. The HMT activity was demonstrated to be essential for SMYD3-mediated transactivation of miR-200c-3p and the overexpression of miR-200c-3p inhibited the transactivation effects of SMYD3 on myocardin-related transcription factor-A-dependent migration-associated genes. To our best knowledge, the current study is the first to report on the transcriptional regulation of SMYD3 on miRNAs, and miR-200c may be a downstream negative regulator of the SMYD3-mediated pathway in the migration of breast cancer cells. These results may provide a novel theoretical basis to understand the mechanisms underlying the initiation, progression, diagnosis, prevention and therapy of breast cancer.
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Affiliation(s)
- Dongju Chen
- Key Laboratory of Industrial Fermentation Microbiology of the Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, P.R. China.,Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, P.R. China
| | - Lei Liu
- Key Laboratory of Industrial Fermentation Microbiology of the Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, P.R. China.,Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, P.R. China
| | - Xuegang Luo
- Key Laboratory of Industrial Fermentation Microbiology of the Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, P.R. China.,Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, P.R. China
| | - Ai Mu
- Key Laboratory of Industrial Fermentation Microbiology of the Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, P.R. China.,Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, P.R. China
| | - Lihua Yan
- Key Laboratory of Industrial Fermentation Microbiology of the Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, P.R. China.,Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, P.R. China
| | - Xiaoying Chen
- Key Laboratory of Industrial Fermentation Microbiology of the Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, P.R. China.,Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, P.R. China
| | - Lei Wang
- Key Laboratory of Industrial Fermentation Microbiology of the Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, P.R. China.,Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, P.R. China
| | - Nan Wang
- Key Laboratory of Industrial Fermentation Microbiology of the Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, P.R. China.,Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, P.R. China
| | - Hongpeng He
- Key Laboratory of Industrial Fermentation Microbiology of the Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, P.R. China.,Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, P.R. China
| | - Hao Zhou
- Key Laboratory of Industrial Fermentation Microbiology of the Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, P.R. China.,Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, P.R. China
| | - Tongcun Zhang
- Key Laboratory of Industrial Fermentation Microbiology of the Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, P.R. China.,Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, P.R. China
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17
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Hu Y, Ehli EA, Boomsma DI. MicroRNAs as biomarkers for psychiatric disorders with a focus on autism spectrum disorder: Current progress in genetic association studies, expression profiling, and translational research. Autism Res 2017; 10:1184-1203. [PMID: 28419777 DOI: 10.1002/aur.1789] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Revised: 02/20/2017] [Accepted: 03/06/2017] [Indexed: 12/13/2022]
Abstract
MicroRNAs (miRNAs) are a group of small noncoding RNA molecules, 18-25 nucleotides in length, which can negatively regulate gene expression at the post-transcriptional level by binding to messenger RNAs. About half of all identified miRNAs in humans are expressed in the brain and display regulatory functions important for many biological processes related to the development of the central nervous system (CNS). Disruptions in miRNA biogenesis and miRNA-target interaction have been related to CNS diseases, including psychiatric disorders. In this review, we focus on the role of miRNAs in autism spectrum disorder (ASD) and summarize recent findings about ASD-associated genetic variants in miRNA genes, in miRNA biogenesis genes, and miRNA targets. We discuss deregulation of miRNA expression in ASD and functional validation of ASD-related miRNAs in animal models. Including miRNAs in studies of ASD will contribute to our understanding of its etiology and pathogenesis and facilitate the discrimination between different disease subgroups. Autism Res 2017. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. Autism Res 2017, 10: 1184-1203. © 2017 International Society for Autism Research, Wiley Periodicals, Inc.
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Affiliation(s)
- Yubin Hu
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.,Neuroscience Campus Amsterdam (NCA), The Netherlands
| | - Erik A Ehli
- Avera Institute for Human Genetics, Sioux Falls, South Dakota
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.,Neuroscience Campus Amsterdam (NCA), The Netherlands.,Avera Institute for Human Genetics, Sioux Falls, South Dakota
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18
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Shen L, Lin Y, Sun Z, Yuan X, Chen L, Shen B. Knowledge-Guided Bioinformatics Model for Identifying Autism Spectrum Disorder Diagnostic MicroRNA Biomarkers. Sci Rep 2016; 6:39663. [PMID: 28000768 PMCID: PMC5175196 DOI: 10.1038/srep39663] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Accepted: 11/24/2016] [Indexed: 01/02/2023] Open
Abstract
Autism spectrum disorder (ASD) is a severe neurodevelopmental disease with a high incidence and effective biomarkers are urgently needed for its diagnosis. A few previous studies have reported the detection of miRNA biomarkers for autism diagnosis, especially those based on bioinformatics approaches. In this study, we developed a knowledge-guided bioinformatics model for identifying autism miRNA biomarkers. We downloaded gene expression microarray data from the GEO Database and extracted genes with expression levels that differed in ASD and the controls. We then constructed an autism-specific miRNA-mRNA network and inferred candidate autism biomarker miRNAs based on their regulatory modes and functions. We defined a novel parameter called the autism gene percentage as autism-specific knowledge to further facilitate the identification of autism-specific biomarker miRNAs. Finally, 11 miRNAs were screened as putative autism biomarkers, where eight miRNAs (72.7%) were significantly dysregulated in ASD samples according to previous reports. Functional enrichment results indicated that the targets of the identified miRNAs were enriched in autism-associated pathways, such as Wnt signaling (in KEGG and IPA), cell cycle (in KEGG), and glioblastoma multiforme signaling (in IPA), thereby supporting the predictive power of our model.
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Affiliation(s)
- Li Shen
- Center for Systems Biology, Soochow University, Suzhou, 215006, China.,Institute of Biological Sciences and Biotechnology, Donghua University, Shanghai, 201620, China
| | - Yuxin Lin
- Center for Systems Biology, Soochow University, Suzhou, 215006, China
| | - Zhandong Sun
- Center for Systems Biology, Soochow University, Suzhou, 215006, China
| | - Xuye Yuan
- Center for Systems Biology, Soochow University, Suzhou, 215006, China
| | - Luonan Chen
- Key laboratory of Systems Biology, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Bairong Shen
- Center for Systems Biology, Soochow University, Suzhou, 215006, China
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19
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The emerging roles of MicroRNAs in autism spectrum disorders. Neurosci Biobehav Rev 2016; 71:729-738. [DOI: 10.1016/j.neubiorev.2016.10.018] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Revised: 05/27/2016] [Accepted: 10/22/2016] [Indexed: 12/21/2022]
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20
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Li MP, Hu YD, Hu XL, Zhang YJ, Yang YL, Jiang C, Tang J, Chen XP. MiRNAs and miRNA Polymorphisms Modify Drug Response. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:ijerph13111096. [PMID: 27834829 PMCID: PMC5129306 DOI: 10.3390/ijerph13111096] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Revised: 10/17/2016] [Accepted: 10/31/2016] [Indexed: 12/13/2022]
Abstract
Differences in expression of drug response-related genes contribute to inter-individual variation in drugs’ biological effects. MicroRNAs (miRNAs) are small noncoding RNAs emerging as new players in epigenetic regulation of gene expression at post-transcriptional level. MiRNAs regulate the expression of genes involved in drug metabolism, drug transportation, drug targets and downstream signal molecules directly or indirectly. MiRNA polymorphisms, the genetic variations affecting miRNA expression and/or miRNA-mRNA interaction, provide a new insight into the understanding of inter-individual difference in drug response. Here, we provide an overview of the recent progress in miRNAs mediated regulation of biotransformation enzymes, drug transporters, and nuclear receptors. We also describe the implications of miRNA polymorphisms in cancer chemotherapy response.
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Affiliation(s)
- Mu-Peng Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, China.
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China.
| | - Yao-Dong Hu
- Department of Cardiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi 046000, China.
| | - Xiao-Lei Hu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, China.
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China.
| | - Yan-Jiao Zhang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, China.
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China.
| | - Yong-Long Yang
- Haikou People's Hospital and Affiliated Haikou Hospital of Xiangya Medical School, Central South University, Haikou 570311, China.
| | - Chun Jiang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, China.
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China.
| | - Jie Tang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, China.
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China.
| | - Xiao-Ping Chen
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, China.
- Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha 410078, China.
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21
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Geaghan M, Cairns MJ. MicroRNA and Posttranscriptional Dysregulation in Psychiatry. Biol Psychiatry 2015; 78:231-9. [PMID: 25636176 DOI: 10.1016/j.biopsych.2014.12.009] [Citation(s) in RCA: 144] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2014] [Revised: 11/11/2014] [Accepted: 12/03/2014] [Indexed: 11/27/2022]
Abstract
Psychiatric syndromes, including schizophrenia, mood disorders, and autism spectrum disorders, are characterized by a complex range of symptoms, including psychosis, depression, mania, and cognitive deficits. Although the mechanisms driving pathophysiology are complex and remain largely unknown, advances in the understanding of gene association and gene networks are providing significant clues to their etiology. In recent years, small noncoding RNA molecules known as microRNA (miRNA) have emerged as potential players in the pathophysiology of mental illness. These small RNAs regulate hundreds of target transcripts by modifying their stability and translation on a broad scale, influencing entire gene networks in the process. There is evidence to suggest that numerous miRNAs are dysregulated in postmortem neuropathology of neuropsychiatric disorders, and there is strong genetic support for association of miRNA genes and their targets with these conditions. This review presents the accumulated evidence linking miRNA dysregulation and dysfunction with schizophrenia, bipolar disorder, major depressive disorder, and autism spectrum disorders and the potential of miRNAs as biomarkers or therapeutics for these disorders. We further assess the functional roles of some outstanding miRNAs associated with these conditions and how they may be influencing the development of psychiatric symptoms.
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Affiliation(s)
- Michael Geaghan
- School of Biomedical Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.; Centre for Translational Neuroscience and Mental Health, Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Murray J Cairns
- School of Biomedical Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.; Schizophrenia Research Institute, Sydney, Australia.; Centre for Translational Neuroscience and Mental Health, Hunter Medical Research Institute, Newcastle, New South Wales, Australia..
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22
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Rizzo R, Ragusa M, Barbagallo C, Sammito M, Gulisano M, Calì PV, Pappalardo C, Barchitta M, Granata M, Condorelli AG, Barbagallo D, Scalia M, Agodi A, Di Pietro C, Purrello M. Circulating miRNAs profiles in Tourette syndrome: molecular data and clinical implications. Mol Brain 2015. [PMID: 26205656 PMCID: PMC4513635 DOI: 10.1186/s13041-015-0133-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Tourette Syndrome (TS) is a highly prevalent childhood neuropsychiatric disorder (about 1 %), characterized by multiple motor and one or more vocal tics. The syndrome is commonly associated to comorbid conditions (e.g., Attention Deficit Hyperactivity Disorder and Obsessive Compulsive Disorder), which considerably aggravate clinical symptoms and complicate diagnosis and treatment. To date, TS molecular bases are unknown and its molecular diagnosis is unfeasible. RESULTS Due to their master role within cell networks and pathways both in physiology as in pathology, we sought to determine the transcriptome of circulating miRNAs in TS patients: by TaqMan Low Density Arrays, we profiled the expression in serum of 754 miRNAs in six TS patients and three unaffected controls (NCs) (discovery set). These data were validated by single TaqMan assays on serum from 52 TS patients and 15 NCs (validation set). Network and Gene-ontology analysis were performed by using Cytoscape and Babelomics server. We found that miR-429 is significantly underexpressed in TS patients with respect to NCs. Decreased serum levels of miR-429 allowed us to discriminate TS patients from NCs with 95 % of sensitivity and 42 % of specificity. Intriguingly, computational analysis of the network comprising miR-429 targets demonstrates their involvement in differentiation of midbrain and hindbrain and synaptic transmission. CONCLUSIONS Our data open the way to further molecular characterization of TS and eventual identification of the corresponding genotypes. Circulating miR-429 may be immediately useful as sensitive molecular biomarker to support TS diagnosis, actually based only on DSM-V criteria.
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Affiliation(s)
- Renata Rizzo
- Section of Child Neurology and Psychiatry, Department of Experimental and Clinical Medicine, University of Catania, Catania, EU, Italy
| | - Marco Ragusa
- BioMolecular, Genome and Complex Systems BioMedicine Unit (BMGS), Section of Biology and Genetics G Sichel, Department of BioMedicine and BioTechnology, University of Catania, Catania, EU, Italy
| | - Cristina Barbagallo
- BioMolecular, Genome and Complex Systems BioMedicine Unit (BMGS), Section of Biology and Genetics G Sichel, Department of BioMedicine and BioTechnology, University of Catania, Catania, EU, Italy
| | - Mariangela Sammito
- BioMolecular, Genome and Complex Systems BioMedicine Unit (BMGS), Section of Biology and Genetics G Sichel, Department of BioMedicine and BioTechnology, University of Catania, Catania, EU, Italy
| | - Mariangela Gulisano
- Section of Child Neurology and Psychiatry, Department of Experimental and Clinical Medicine, University of Catania, Catania, EU, Italy
| | - Paola V Calì
- Section of Child Neurology and Psychiatry, Department of Experimental and Clinical Medicine, University of Catania, Catania, EU, Italy
| | - Claudio Pappalardo
- BioMolecular, Genome and Complex Systems BioMedicine Unit (BMGS), Section of Biology and Genetics G Sichel, Department of BioMedicine and BioTechnology, University of Catania, Catania, EU, Italy
| | - Martina Barchitta
- Department of Medical and Surgical Sciences and Advanced Technologies GF Ingrassia, University of Catania, Catania, EU, Italy
| | - Mariagrazia Granata
- BioMolecular, Genome and Complex Systems BioMedicine Unit (BMGS), Section of Biology and Genetics G Sichel, Department of BioMedicine and BioTechnology, University of Catania, Catania, EU, Italy
| | - Angelo G Condorelli
- BioMolecular, Genome and Complex Systems BioMedicine Unit (BMGS), Section of Biology and Genetics G Sichel, Department of BioMedicine and BioTechnology, University of Catania, Catania, EU, Italy
| | - Davide Barbagallo
- BioMolecular, Genome and Complex Systems BioMedicine Unit (BMGS), Section of Biology and Genetics G Sichel, Department of BioMedicine and BioTechnology, University of Catania, Catania, EU, Italy
| | - Marina Scalia
- BioMolecular, Genome and Complex Systems BioMedicine Unit (BMGS), Section of Biology and Genetics G Sichel, Department of BioMedicine and BioTechnology, University of Catania, Catania, EU, Italy
| | - Antonella Agodi
- Department of Medical and Surgical Sciences and Advanced Technologies GF Ingrassia, University of Catania, Catania, EU, Italy
| | - Cinzia Di Pietro
- BioMolecular, Genome and Complex Systems BioMedicine Unit (BMGS), Section of Biology and Genetics G Sichel, Department of BioMedicine and BioTechnology, University of Catania, Catania, EU, Italy
| | - Michele Purrello
- Section of Child Neurology and Psychiatry, Department of Experimental and Clinical Medicine, University of Catania, Catania, EU, Italy. .,, Via S Sofia 87, Building C, 2° floor, room 10, 95123, Catania, EU, Italy.
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23
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Ander BP, Barger N, Stamova B, Sharp FR, Schumann CM. Atypical miRNA expression in temporal cortex associated with dysregulation of immune, cell cycle, and other pathways in autism spectrum disorders. Mol Autism 2015; 6:37. [PMID: 26146533 PMCID: PMC4491207 DOI: 10.1186/s13229-015-0029-9] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2015] [Accepted: 05/27/2015] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Autism spectrum disorders (ASDs) likely involve dysregulation of multiple genes related to brain function and development. Abnormalities in individual regulatory small non-coding RNA (sncRNA), including microRNA (miRNA), could have profound effects upon multiple functional pathways. We assessed whether a brain region associated with core social impairments in ASD, the superior temporal sulcus (STS), would evidence greater transcriptional dysregulation of sncRNA than adjacent, yet functionally distinct, primary auditory cortex (PAC). METHODS We measured sncRNA expression levels in 34 samples of postmortem brain from STS and PAC to find differentially expressed sncRNA in ASD compared with control cases. For differentially expressed miRNA, we further analyzed their predicted mRNA targets and carried out functional over-representation analysis of KEGG pathways to examine their functional significance and to compare our findings to reported alterations in ASD gene expression. RESULTS Two mature miRNAs (miR-4753-5p and miR-1) were differentially expressed in ASD relative to control in STS and four (miR-664-3p, miR-4709-3p, miR-4742-3p, and miR-297) in PAC. In both regions, miRNA were functionally related to various nervous system, cell cycle, and canonical signaling pathways, including PI3K-Akt signaling, previously implicated in ASD. Immune pathways were only disrupted in STS. snoRNA and pre-miRNA were also differentially expressed in ASD brain. CONCLUSIONS Alterations in sncRNA may underlie dysregulation of molecular pathways implicated in autism. sncRNA transcriptional abnormalities in ASD were apparent in STS and in PAC, a brain region not directly associated with core behavioral impairments. Disruption of miRNA in immune pathways, frequently implicated in ASD, was unique to STS.
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Affiliation(s)
- Bradley P Ander
- Department of Neurology, MIND Institute, University of California at Davis Medical Center, 2805 50th Street, Sacramento, CA 95817 USA
| | - Nicole Barger
- Department of Psychiatry & Behavioral Sciences, MIND Institute, University of California at Davis Medical Center, 2805 50th Street, Sacramento, CA 95817 USA
| | - Boryana Stamova
- Department of Neurology, MIND Institute, University of California at Davis Medical Center, 2805 50th Street, Sacramento, CA 95817 USA
| | - Frank R Sharp
- Department of Neurology, MIND Institute, University of California at Davis Medical Center, 2805 50th Street, Sacramento, CA 95817 USA
| | - Cynthia M Schumann
- Department of Psychiatry & Behavioral Sciences, MIND Institute, University of California at Davis Medical Center, 2805 50th Street, Sacramento, CA 95817 USA
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24
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Association of Copy Number Variations in Autism Spectrum Disorders: A Systematic Review. ACTA ACUST UNITED AC 2014. [DOI: 10.1155/2014/713109] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Autism spectrum disorders (ASDs) are characterized by language impairments, social deficits, and repetitive behaviors. The onset of symptoms occurs by the age of 3 and shows a lifelong persistence. Genetics plays a major role in the etiology of ASD. Except genetics, several potential risk factors (environmental factors and epigenetics) may contribute to ASD. Copy number variations (CNVs) are the most widespread structural variations in the human genome. These variations can alter the genome structure either by deletion or by duplication. CNVs can be de novo or inherited. Chromosomal rearrangements have been detected in 5–10% of the patients with ASD and recently copy number changes ranging from a few kilobases (kb) to several megabases (Mb) in size have been reported. Recent data have also revealed that submicroscopic CNVs can have a role in ASD, and de novo CNVs seem to be a more common risk factor in sporadic compared with inherited forms of ASD. CNVs are being implicated as a contributor to the pathophysiology of complex neurodevelopmental disorders and they can affect a wide range of human phenotypes including mental retardation (MR), autism, neuropsychiatric disorders, and susceptibility to other complex traits such as HIV, Crohn’s disease, and psoriasis. This review emphasizes the major CNVs reported to date in ASD.
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