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Gawade K, Raczynska KD. Imprinted small nucleolar RNAs: Missing link in development and disease? WILEY INTERDISCIPLINARY REVIEWS. RNA 2023:e1818. [PMID: 37722601 DOI: 10.1002/wrna.1818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/31/2023] [Accepted: 08/31/2023] [Indexed: 09/20/2023]
Abstract
The 14q32.2 (DLK1-DIO3) and 15q11-q13 (SNURF-SNRPN) imprinted gene loci harbor the largest known small nucleolar RNA clusters expressed from the respective maternal and paternal alleles. Recent studies have demonstrated significant roles for the 15q11-q13 located SNORD115-SNORD116 C/D box snoRNAs in Prader-Willi syndrome (PWS), a neurodevelopmental disorder. Even though the effect of SNORD116 deletion is apparent in the PWS phenotype, similar effects of a SNORD113-SNORD114 cluster deletion from the 14q32.2 locus in Kagami-Ogata syndrome (KOS14) and upregulation in Temple syndrome (TS14) remain to be explored. Moreover, apart from their probable involvement in neurodevelopmental disorders, snoRNAs from the SNORD113-SNORD114 cluster have been implicated in multiple biological processes, including pluripotency, development, cancers, and RNA modifications. Here we summarize the current understanding of the system to explore the possibility of a link between developmental disorders and C/D box snoRNA expression from the imprinted 14q32.2 locus. This article is categorized under: RNA in Disease and Development > RNA in Disease RNA in Disease and Development > RNA in Development RNA Processing > Processing of Small RNAs.
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Affiliation(s)
- Kishor Gawade
- Laboratory of RNA Processing, Department of Gene Expression, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University in Poznan, Poznan, Poland
- Center for Advanced Technology, Adam Mickiewicz University in Poznan, Poznan, Poland
| | - Katarzyna D Raczynska
- Laboratory of RNA Processing, Department of Gene Expression, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University in Poznan, Poznan, Poland
- Center for Advanced Technology, Adam Mickiewicz University in Poznan, Poznan, Poland
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2
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Stott J, Wright T, Holmes J, Wilson J, Griffiths-Jones S, Foster D, Wright B. A systematic review of non-coding RNA genes with differential expression profiles associated with autism spectrum disorders. PLoS One 2023; 18:e0287131. [PMID: 37319303 PMCID: PMC10270643 DOI: 10.1371/journal.pone.0287131] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 05/30/2023] [Indexed: 06/17/2023] Open
Abstract
AIMS To identify differential expression of shorter non-coding RNA (ncRNA) genes associated with autism spectrum disorders (ASD). BACKGROUND ncRNA are functional molecules that derive from non-translated DNA sequence. The HUGO Gene Nomenclature Committee (HGNC) have approved ncRNA gene classes with alignment to the reference human genome. One subset is microRNA (miRNA), which are highly conserved, short RNA molecules that regulate gene expression by direct post-transcriptional repression of messenger RNA. Several miRNA genes are implicated in the development and regulation of the nervous system. Expression of miRNA genes in ASD cohorts have been examined by multiple research groups. Other shorter classes of ncRNA have been examined less. A comprehensive systematic review examining expression of shorter ncRNA gene classes in ASD is timely to inform the direction of research. METHODS We extracted data from studies examining ncRNA gene expression in ASD compared with non-ASD controls. We included studies on miRNA, piwi-interacting RNA (piRNA), small NF90 (ILF3) associated RNA (snaR), small nuclear RNA (snRNA), small nucleolar RNA (snoRNA), transfer RNA (tRNA), vault RNA (vtRNA) and Y RNA. The following electronic databases were searched: Cochrane Library, EMBASE, PubMed, Web of Science, PsycINFO, ERIC, AMED and CINAHL for papers published from January 2000 to May 2022. Studies were screened by two independent investigators with a third resolving discrepancies. Data was extracted from eligible papers. RESULTS Forty-eight eligible studies were included in our systematic review with the majority examining miRNA gene expression alone. Sixty-four miRNA genes had differential expression in ASD compared to controls as reported in two or more studies, but often in opposing directions. Four miRNA genes had differential expression in the same direction in the same tissue type in at least 3 separate studies. Increased expression was reported in miR-106b-5p, miR-155-5p and miR-146a-5p in blood, post-mortem brain, and across several tissue types, respectively. Decreased expression was reported in miR-328-3p in bloods samples. Seven studies examined differential expression from other classes of ncRNA, including piRNA, snRNA, snoRNA and Y RNA. No individual ncRNA genes were reported in more than one study. Six studies reported differentially expressed snoRNA genes in ASD. A meta-analysis was not possible because of inconsistent methodologies, disparate tissue types examined, and varying forms of data presented. CONCLUSION There is limited but promising evidence associating the expression of certain miRNA genes and ASD, although the studies are of variable methodological quality and the results are largely inconsistent. There is emerging evidence associating differential expression of snoRNA genes in ASD. It is not currently possible to say whether the reports of differential expression in ncRNA may relate to ASD aetiology, a response to shared environmental factors linked to ASD such as sleep and nutrition, other molecular functions, human diversity, or chance findings. To improve our understanding of any potential association, we recommend improved and standardised methodologies and reporting of raw data. Further high-quality research is required to shine a light on possible associations, which may yet yield important information.
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Affiliation(s)
- Jon Stott
- Child Oriented Mental Health Intervention Collaborative (COMIC), University of York in Collaboration with Leeds and York Partnership NHS Foundation Trust, York, United Kingdom
- Tees, Esk & Wear Valleys NHS Foundation Trust, Foss Park Hospital, York, United Kingdom
| | - Thomas Wright
- Manchester Centre for Genomic Medicine, Clinical Genetics Service, Saint Mary’s Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Jannah Holmes
- Child Oriented Mental Health Intervention Collaborative (COMIC), University of York in Collaboration with Leeds and York Partnership NHS Foundation Trust, York, United Kingdom
- Hull York Medical School, University of York, Heslington, York, United Kingdom
| | - Julie Wilson
- Department of Mathematics, University of York, Heslington, York, United Kingdom
| | - Sam Griffiths-Jones
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Deborah Foster
- Tees, Esk & Wear Valleys NHS Foundation Trust, Foss Park Hospital, York, United Kingdom
| | - Barry Wright
- Child Oriented Mental Health Intervention Collaborative (COMIC), University of York in Collaboration with Leeds and York Partnership NHS Foundation Trust, York, United Kingdom
- Hull York Medical School, University of York, Heslington, York, United Kingdom
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Zhang P, Omanska A, Ander B, Gandal M, Stamova B, Schumann C. Neuron-specific transcriptomic signatures indicate neuroinflammation and altered neuronal activity in ASD temporal cortex. Proc Natl Acad Sci U S A 2023; 120:e2206758120. [PMID: 36862688 PMCID: PMC10013873 DOI: 10.1073/pnas.2206758120] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 12/28/2022] [Indexed: 03/03/2023] Open
Abstract
Autism spectrum disorder (ASD) is a highly heterogeneous disorder, yet transcriptomic profiling of bulk brain tissue has identified substantial convergence among dysregulated genes and pathways in ASD. However, this approach lacks cell-specific resolution. We performed comprehensive transcriptomic analyses on bulk tissue and laser-capture microdissected (LCM) neurons from 59 postmortem human brains (27 ASD and 32 controls) in the superior temporal gyrus (STG) of individuals ranging from 2 to 73 years of age. In bulk tissue, synaptic signaling, heat shock protein-related pathways, and RNA splicing were significantly altered in ASD. There was age-dependent dysregulation of genes involved in gamma aminobutyric acid (GABA) (GAD1 and GAD2) and glutamate (SLC38A1) signaling pathways. In LCM neurons, AP-1-mediated neuroinflammation and insulin/IGF-1 signaling pathways were upregulated in ASD, while mitochondrial function, ribosome, and spliceosome components were downregulated. GABA synthesizing enzymes GAD1 and GAD2 were both downregulated in ASD neurons. Mechanistic modeling suggested a direct link between inflammation and ASD in neurons, and prioritized inflammation-associated genes for future study. Alterations in small nucleolar RNAs (snoRNAs) associated with splicing events suggested interplay between snoRNA dysregulation and splicing disruption in neurons of individuals with ASD. Our findings supported the fundamental hypothesis of altered neuronal communication in ASD, demonstrated that inflammation was elevated at least in part in ASD neurons, and may reveal windows of opportunity for biotherapeutics to target the trajectory of gene expression and clinical manifestation of ASD throughout the human lifespan.
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Affiliation(s)
- Pan Zhang
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA90095
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA90095
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA90095
| | - Alicja Omanska
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, CA95817
- University of California, Davis, MIND Institute, Sacramento, CA95817
| | - Bradley P. Ander
- University of California, Davis, MIND Institute, Sacramento, CA95817
- Department of Neurology, University of California, Davis, School of Medicine, Sacramento, CA95817
| | - Michael J. Gandal
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA90095
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA19104
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA19104
- Lifespan Brain Institute, Penn Med and the Children’s Hospital of Philadelphia, Philadelphia, PA19104
| | - Boryana Stamova
- University of California, Davis, MIND Institute, Sacramento, CA95817
- Department of Neurology, University of California, Davis, School of Medicine, Sacramento, CA95817
| | - Cynthia M. Schumann
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, CA95817
- University of California, Davis, MIND Institute, Sacramento, CA95817
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4
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Crespi B, Yang N. Three laws of teleonometrics. Biol J Linn Soc Lond 2022. [DOI: 10.1093/biolinnean/blac068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Abstract
We define teleonometrics as the theoretical and empirical study of teleonomy. We propose three laws for teleonometrics. The first law describes the hierarchical organization of teleonomic functions across biological levels from genes to individuals. According to this law, the number of goal-directed functions increases from individuals (one goal, maximizing inclusive fitness) to intermediate levels and to genes and alleles (myriad time-, space- and context-dependent goals, depending upon degrees and patterns of pleiotropy). The second law describes the operation of teleonomic functions under trade-offs, coadaptations and negative and positive pleiotropies, which are universal in biological systems. According to this law, the functions of an allele, gene or trait are described and defined by patterns of antagonistic (trading off) and compatible (coadapted) functions. The third law of teleonometrics is that the major transitions in evolution are driven by the origins of novel, emergent goals associated with functional changes and by the breaking and reshaping of trade-offs, especially by mechanisms involving increases in resources or time, and new divisions of labour or function. We illustrate the application of these laws using data from three empirical vignettes, which help to show the usefulness of teleonometric viewpoints for understanding the interfaces between function, trade-offs and dysfunctions manifest as disease.
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Affiliation(s)
- Bernard Crespi
- Department of Biological Sciences, Simon Fraser University , Burnaby, British Columbia, V5A 1S6 , Canada
| | - Nancy Yang
- Department of Biological Sciences, Simon Fraser University , Burnaby, British Columbia, V5A 1S6 , Canada
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5
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Fetit R, Hillary RF, Price DJ, Lawrie SM. The neuropathology of autism: A systematic review of post-mortem studies of autism and related disorders. Neurosci Biobehav Rev 2021; 129:35-62. [PMID: 34273379 DOI: 10.1016/j.neubiorev.2021.07.014] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 05/13/2021] [Accepted: 07/10/2021] [Indexed: 02/07/2023]
Abstract
Post-mortem studies allow for the direct investigation of brain tissue in those with autism and related disorders. Several review articles have focused on aspects of post-mortem abnormalities but none has brought together the entire post-mortem literature. Here, we systematically review the evidence from post-mortem studies of autism, and of related disorders that present with autistic features. The literature consists of a small body of studies with small sample sizes, but several remarkably consistent findings are evident. Cortical layering is largely undisturbed, but there are consistent reductions in minicolumn numbers and aberrant myelination. Transcriptomics repeatedly implicate abberant synaptic, metabolic, proliferation, apoptosis and immune pathways. Sufficient replicated evidence is available to implicate non-coding RNA, aberrant epigenetic profiles, GABAergic, glutamatergic and glial dysfunction in autism pathogenesis. Overall, the cerebellum and frontal cortex are most consistently implicated, sometimes revealing distinct region-specific alterations. The literature on related disorders such as Rett syndrome, Fragile X and copy number variations (CNVs) predisposing to autism is particularly small and inconclusive. Larger studies, matched for gender, developmental stage, co-morbidities and drug treatment are required.
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Affiliation(s)
- Rana Fetit
- Simons Initiative for the Developing Brain, University of Edinburgh, Hugh Robson Building, George Square, Edinburgh, EH8 9XD, UK.
| | - Robert F Hillary
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - David J Price
- Simons Initiative for the Developing Brain, University of Edinburgh, Hugh Robson Building, George Square, Edinburgh, EH8 9XD, UK
| | - Stephen M Lawrie
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH10 5HF, UK; Patrick Wild Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH10 5HF, UK
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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: 6] [Impact Index Per Article: 2.0] [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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Panisi C, Guerini FR, Abruzzo PM, Balzola F, Biava PM, Bolotta A, Brunero M, Burgio E, Chiara A, Clerici M, Croce L, Ferreri C, Giovannini N, Ghezzo A, Grossi E, Keller R, Manzotti A, Marini M, Migliore L, Moderato L, Moscone D, Mussap M, Parmeggiani A, Pasin V, Perotti M, Piras C, Saresella M, Stoccoro A, Toso T, Vacca RA, Vagni D, Vendemmia S, Villa L, Politi P, Fanos V. Autism Spectrum Disorder from the Womb to Adulthood: Suggestions for a Paradigm Shift. J Pers Med 2021; 11:70. [PMID: 33504019 PMCID: PMC7912683 DOI: 10.3390/jpm11020070] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 01/10/2021] [Accepted: 01/19/2021] [Indexed: 02/07/2023] Open
Abstract
The wide spectrum of unique needs and strengths of Autism Spectrum Disorders (ASD) is a challenge for the worldwide healthcare system. With the plethora of information from research, a common thread is required to conceptualize an exhaustive pathogenetic paradigm. The epidemiological and clinical findings in ASD cannot be explained by the traditional linear genetic model, hence the need to move towards a more fluid conception, integrating genetics, environment, and epigenetics as a whole. The embryo-fetal period and the first two years of life (the so-called 'First 1000 Days') are the crucial time window for neurodevelopment. In particular, the interplay and the vicious loop between immune activation, gut dysbiosis, and mitochondrial impairment/oxidative stress significantly affects neurodevelopment during pregnancy and undermines the health of ASD people throughout life. Consequently, the most effective intervention in ASD is expected by primary prevention aimed at pregnancy and at early control of the main effector molecular pathways. We will reason here on a comprehensive and exhaustive pathogenetic paradigm in ASD, viewed not just as a theoretical issue, but as a tool to provide suggestions for effective preventive strategies and personalized, dynamic (from womb to adulthood), systemic, and interdisciplinary healthcare approach.
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Affiliation(s)
- Cristina Panisi
- Fondazione Istituto Sacra Famiglia ONLUS, Cesano Boscone, 20090 Milan, Italy;
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy;
| | - Franca Rosa Guerini
- IRCCS Fondazione Don Carlo Gnocchi, ONLUS, 20148 Milan, Italy; (M.C.); (M.S.)
| | | | - Federico Balzola
- Division of Gastroenterology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, University of Turin, 10126 Turin, Italy;
| | - Pier Mario Biava
- Scientific Institute of Research and Care Multimedica, 20138 Milan, Italy;
| | - Alessandra Bolotta
- DIMES, School of Medicine, University of Bologna, 40126 Bologna, Italy; (P.M.A.); (A.B.); (A.G.)
| | - Marco Brunero
- Department of Pediatric Surgery, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy;
| | - Ernesto Burgio
- ECERI—European Cancer and Environment Research Institute, Square de Meeus 38-40, 1000 Bruxelles, Belgium;
| | - Alberto Chiara
- Dipartimento Materno Infantile ASST, 27100 Pavia, Italy;
| | - Mario Clerici
- IRCCS Fondazione Don Carlo Gnocchi, ONLUS, 20148 Milan, Italy; (M.C.); (M.S.)
- Department of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy
| | - Luigi Croce
- Centro Domino per l’Autismo, Universita’ Cattolica Brescia, 20139 Milan, Italy;
| | - Carla Ferreri
- National Research Council of Italy, Institute of Organic Synthesis and Photoreactivity (ISOF), 40129 Bologna, Italy;
| | - Niccolò Giovannini
- Department of Obstetrics and Gynecology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy;
| | - Alessandro Ghezzo
- DIMES, School of Medicine, University of Bologna, 40126 Bologna, Italy; (P.M.A.); (A.B.); (A.G.)
| | - Enzo Grossi
- Autism Research Unit, Villa Santa Maria Foundation, 22038 Tavernerio, Italy;
| | - Roberto Keller
- Adult Autism Centre DSM ASL Città di Torino, 10138 Turin, Italy;
| | - Andrea Manzotti
- RAISE Lab, Foundation COME Collaboration, 65121 Pescara, Italy;
| | - Marina Marini
- DIMES, School of Medicine, University of Bologna, 40126 Bologna, Italy; (P.M.A.); (A.B.); (A.G.)
| | - Lucia Migliore
- Medical Genetics Laboratories, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56126 Pisa, Italy; (L.M.); (A.S.)
| | - Lucio Moderato
- Fondazione Istituto Sacra Famiglia ONLUS, Cesano Boscone, 20090 Milan, Italy;
| | - Davide Moscone
- Associazione Spazio Asperger ONLUS, Centro Clinico CuoreMenteLab, 00141 Rome, Italy;
| | - Michele Mussap
- Neonatal Intensive Care Unit, Department of Surgical Sciences, Puericulture Institute and Neonatal Section, Azienda Ospedaliera Universitaria, 09100 Cagliari, Italy; (M.M.); (V.F.)
| | - Antonia Parmeggiani
- Child Neurology and Psychiatry Unit, IRCCS ISNB, S. Orsola-Malpighi Hospital, Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy;
| | - Valentina Pasin
- Milan Institute for health Care and Advanced Learning, 20124 Milano, Italy;
| | | | - Cristina Piras
- Department of Biomedical Sciences, University of Cagliari, 09042 Cagliari, Italy;
| | - Marina Saresella
- IRCCS Fondazione Don Carlo Gnocchi, ONLUS, 20148 Milan, Italy; (M.C.); (M.S.)
| | - Andrea Stoccoro
- Medical Genetics Laboratories, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56126 Pisa, Italy; (L.M.); (A.S.)
| | - Tiziana Toso
- Unione Italiana Lotta alla Distrofia Muscolare UILDM, 35100 Padova, Italy;
| | - Rosa Anna Vacca
- Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies (IBIOM), National Research Council of Italy, 70126 Bari, Italy;
| | - David Vagni
- Institute for Biomedical Research and Innovation (IRIB), National Research Council of Italy, 98164 Messina, Italy;
| | | | - Laura Villa
- Scientific Institute, IRCCS Eugenio Medea, Via Don Luigi Monza 20, 23842 Bosisio Parini, Italy;
| | - Pierluigi Politi
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy;
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Department of Surgical Sciences, Puericulture Institute and Neonatal Section, Azienda Ospedaliera Universitaria, 09100 Cagliari, Italy; (M.M.); (V.F.)
- Neonatal Intensive Care Unit, Azienda Ospedaliera Universitaria, 09042 Cagliari, Italy
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Pawlina-Tyszko K, Oczkowicz M, Gurgul A, Szmatoła T, Bugno-Poniewierska M. MicroRNA profiling of the pig periaqueductal grey (PAG) region reveals candidates potentially related to sex-dependent differences. Biol Sex Differ 2020; 11:67. [PMID: 33451362 PMCID: PMC7809845 DOI: 10.1186/s13293-020-00343-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 11/17/2020] [Indexed: 11/10/2022] Open
Abstract
Background MicroRNAs indirectly orchestrate myriads of essential biological processes. A wide diversity of miRNAs of the neurodevelopmental importance characterizes the brain tissue, which, however, exhibits region-specific miRNA profile differences. One of the most conservative regions of the brain is periaqueductal grey (PAG) playing vital roles in significant functions of this organ, also those observed to be sex-influenced. The domestic pig is an important livestock species but is also believed to be an excellent human model. This is of particular importance for neurological research because of the similarity of pig and human brains as well as difficult access to human samples. However, the pig PAG profile has not been characterized so far. Moreover, molecular bases of sex differences connected with brain functioning, including miRNA expression profiles, have not been fully deciphered yet. Methods Thus, in this study, we applied next-generation sequencing to characterize pig PAG expressed microRNAs. Furthermore, we performed differential expression analysis between females and males to identify changes of the miRNA profile and reveal candidates underlying sex-related differences. Results As a result, known brain-enriched, and new miRNAs which will expand the available profile, were identified. The downstream analysis revealed 38 miRNAs being differentially expressed (DE) between female and male samples. Subsequent pathway analysis showed that they enrich processes vital for neuron growth and functioning, such as long-term depression and axon guidance. Among the identified sex-influenced miRNAs were also those associated with the PAG physiology and diseases related to this region. Conclusions The obtained results broaden the knowledge on the porcine PAG miRNAome, along with its dynamism reflected in different isomiR signatures. Moreover, they indicate possible mechanisms associated with sex-influenced differences mediated via miRNAs in the PAG functioning. They also provide candidate miRNAs for further research concerning, i.e., sex-related bases of physiological and pathological processes occurring in the nervous system. Graphical abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s13293-020-00343-2.
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Affiliation(s)
- Klaudia Pawlina-Tyszko
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1, 32-083, Balice, Kraków, Poland.
| | - Maria Oczkowicz
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1, 32-083, Balice, Kraków, Poland
| | - Artur Gurgul
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1, 32-083, Balice, Kraków, Poland.,Center for Experimental and Innovative Medicine, University of Agriculture in Kraków, Rędzina 1c, 30-248, Kraków, Poland
| | - Tomasz Szmatoła
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1, 32-083, Balice, Kraków, Poland.,Center for Experimental and Innovative Medicine, University of Agriculture in Kraków, Rędzina 1c, 30-248, Kraków, Poland
| | - Monika Bugno-Poniewierska
- Department of Animal Reproduction, Anatomy and Genomics, University of Agriculture in Kraków, al. Mickiewicza 24/28, 30-059, Kraków, Poland
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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: 31] [Impact Index Per Article: 7.8] [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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10
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Konečná B, Radošinská J, Keményová P, Repiská G. Detection of disease-associated microRNAs - application for autism spectrum disorders. Rev Neurosci 2020; 31:757-769. [PMID: 32813679 DOI: 10.1515/revneuro-2020-0015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 04/15/2020] [Indexed: 12/12/2022]
Abstract
Autism spectrum disorders (ASD) diagnostic procedure still lacks a uniform biological marker. This review gathers the information on microRNAs (miRNAs) specifically as a possible source of biomarkers of ASD. Extracellular vesicles, and their subset of exosomes, are believed to be a tool of cell-to-cell communication, and they are increasingly considered to be carriers of such a marker. The interest in studying miRNAs in extracellular vesicles grows in all fields of study and therefore should not be omitted in the field of neurodevelopmental disorders. The summary of miRNAs associated with brain cells and ASD either studied directly in the tissue or biofluids are gathered in this review. The heterogeneity in findings from different studies points out the fact that unified methods should be established, beginning with the determination of the accurate patient and control groups, through to sample collection, processing, and storage conditions. This review, based on the available literature, proposes the standardized approach to obtain the results that would not be affected by technical factors. Nowadays, the method of high-throughput sequencing seems to be the most optimal to analyze miRNAs. This should be followed by the uniformed bioinformatics procedure to avoid misvalidation. At the end, the proper validation of the obtained results is needed. With such an approach as is described in this review, it would be possible to obtain a reliable biomarker that would characterize the presence of ASD.
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Affiliation(s)
- Barbora Konečná
- Institute of Molecular Biomedicine, Faculty of Medicine, Comenius University in Bratislava, 811 08 Bratislava, Slovakia
| | - Jana Radošinská
- Institute of Physiology, Faculty of Medicine, Comenius University in Bratislava, 813 72 Bratislava, Slovakia
- Institute for Heart Research, Centre of Experimental Medicine, Slovak Academy of Sciences, 841 04 Bratislava, Slovakia
| | - Petra Keményová
- Institute of Physiology, Faculty of Medicine, Comenius University in Bratislava, 813 72 Bratislava, Slovakia
| | - Gabriela Repiská
- Institute of Physiology, Faculty of Medicine, Comenius University in Bratislava, 813 72 Bratislava, Slovakia
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11
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Wu X, Li W, Zheng Y. Recent Progress on Relevant microRNAs in Autism Spectrum Disorders. Int J Mol Sci 2020; 21:ijms21165904. [PMID: 32824515 PMCID: PMC7460584 DOI: 10.3390/ijms21165904] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 08/06/2020] [Accepted: 08/12/2020] [Indexed: 01/10/2023] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder whose pathogenesis is unclear and is affected by both genetic and environmental factors. The microRNAs (miRNAs) are a kind of single-stranded non-coding RNA with 20-22 nucleotides, which normally inhibit their target mRNAs at a post-transcriptional level. miRNAs are involved in almost all biological processes and are closely related to ASD and many other diseases. In this review, we summarize relevant miRNAs in ASD, and analyze dysregulated miRNAs in brain tissues and body fluids of ASD patients, which may contribute to the pathogenesis and diagnosis of ASD.
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12
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New Horizons for Molecular Genetics Diagnostic and Research in Autism Spectrum Disorder. ADVANCES IN NEUROBIOLOGY 2020; 24:43-81. [PMID: 32006356 DOI: 10.1007/978-3-030-30402-7_2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Autism spectrum disorder (ASD) is a highly heritable, heterogeneous, and complex pervasive neurodevelopmental disorder (PND) characterized by distinctive abnormalities of human cognitive functions, social interaction, and speech development.Nowadays, several genetic changes including chromosome abnormalities, genetic variations, transcriptional epigenetics, and noncoding RNA have been identified in ASD. However, the association between these genetic modifications and ASDs has not been confirmed yet.The aim of this review is to summarize the key findings in ASD from genetic viewpoint that have been identified from the last few decades of genetic and molecular research.
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13
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Sui W, Gan Q, Chang Y, Ou M, Chen J, Lin H, Xue W, Wu Y, He H, Tang D, Dai Y. Differential expression profile study and gene function analysis of maternal foetal-derived circRNA for screening for Down's syndrome. Exp Ther Med 2019; 19:1006-1016. [PMID: 32010263 PMCID: PMC6966235 DOI: 10.3892/etm.2019.8288] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Accepted: 10/08/2019] [Indexed: 12/12/2022] Open
Abstract
Recent studies have shown that circular RNAs (circRNAs) exhibit differential expression in certain diseases. However, to the best of our knowledge, maternal fetal-derived circRNAs and mRNAs associated with Down's syndrome (DS) have not yet been investigated. A total of 12 umbilical cord blood samples were collected from pregnant women, including six women carrying fetuses with DS (diagnosed by G-banding karyotype analysis), and six women carrying fetuses without DS. In addition, 12 peripheral blood samples were obtained from children, including six children with DS and six children without DS. Gene chip technology was used to screen for differentially expressed circRNAs and mRNAs in the cord blood samples, and were subsequently verified by reverse transcription-quantitative polymerase chain reaction in peripheral blood from the children to identify potential biomarkers. Furthermore, circRNA/microRNA (miRNA) interactions were predicted using Arraystar miRNA target prediction software. There was a significant difference in the expression of hsa_circRNA_103127, hsa_circRNA_103112 and hsa_circRNA_104907 between cord blood obtained from the women carrying fetuses with and without DS, and between peripheral blood obtained from children with and without DS (P<0.01). As hsa_circRNA_103112 exhibited significant differences in expression between cord blood obtained from the women carrying fetuses with and without DS and between peripheral blood obtained from children with and without DS, its corresponding gene, ubiquitin specific peptidase 25, may be involved in the pathogenesis of the condition. These results suggested that hsa_circRNA_103112 may be upregulated in individuals with DS, resulting in an expression imbalance of diploid genes through interactions among circRNA, miRNA and mRNA. Therefore, the level of hsa_circRNA_103112 in the peripheral blood of a pregnant woman may serve as potential biomarker of fetal DS during non-invasive prenatal screening.
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Affiliation(s)
- Weiguo Sui
- Guangxi Key Laboratory of Metabolic Diseases Research, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China.,Kidney Diseases Research, Department of Nephrology, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China
| | - Qing Gan
- Guangxi Key Laboratory of Metabolic Diseases Research, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China.,Kidney Diseases Research, Department of Nephrology, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China
| | - Yan Chang
- Reproductive Center, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China
| | - Minglin Ou
- Guangxi Key Laboratory of Metabolic Diseases Research, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China.,Kidney Diseases Research, Department of Nephrology, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China
| | - Jiejing Chen
- Guangxi Key Laboratory of Metabolic Diseases Research, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China.,Kidney Diseases Research, Department of Nephrology, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China
| | - Hua Lin
- Guangxi Key Laboratory of Metabolic Diseases Research, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China.,Kidney Diseases Research, Department of Nephrology, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China
| | - Wen Xue
- Guangxi Key Laboratory of Metabolic Diseases Research, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China.,Kidney Diseases Research, Department of Nephrology, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China
| | - Yan Wu
- Clinical Medical Research Center, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, P.R. China
| | - Huiyan He
- Clinical Medical Research Center, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, P.R. China
| | - Donge Tang
- Clinical Medical Research Center, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, P.R. China
| | - Yong Dai
- Guangxi Key Laboratory of Metabolic Diseases Research, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China.,Kidney Diseases Research, Department of Nephrology, Guilin No. 924 Hospital, Guilin, Guangxi 541002, P.R. China.,Clinical Medical Research Center, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, P.R. China
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14
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Lithium alters expression of RNAs in a type-specific manner in differentiated human neuroblastoma neuronal cultures, including specific genes involved in Alzheimer's disease. Sci Rep 2019; 9:18261. [PMID: 31797941 PMCID: PMC6892907 DOI: 10.1038/s41598-019-54076-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 11/08/2019] [Indexed: 02/08/2023] Open
Abstract
Lithium (Li) is a medication long-used to treat bipolar disorder. It is currently under investigation for multiple nervous system disorders, including Alzheimer's disease (AD). While perturbation of RNA levels by Li has been previously reported, its effects on the whole transcriptome has been given little attention. We, therefore, sought to determine comprehensive effects of Li treatment on RNA levels. We cultured and differentiated human neuroblastoma (SK-N-SH) cells to neuronal cells with all-trans retinoic acid (ATRA). We exposed cultures for one week to lithium chloride or distilled water, extracted total RNA, depleted ribosomal RNA and performed whole-transcriptome RT-sequencing. We analyzed results by RNA length and type. We further analyzed expression and protein interaction networks between selected Li-altered protein-coding RNAs and common AD-associated gene products. Lithium changed expression of RNAs in both non-specific (inverse to sequence length) and specific (according to RNA type) fashions. The non-coding small nucleolar RNAs (snoRNAs) were subject to the greatest length-adjusted Li influence. When RNA length effects were taken into account, microRNAs as a group were significantly less likely to have had levels altered by Li treatment. Notably, several Li-influenced protein-coding RNAs were co-expressed or produced proteins that interacted with several common AD-associated genes and proteins. Lithium's modification of RNA levels depends on both RNA length and type. Li activity on snoRNA levels may pertain to bipolar disorders while Li modification of protein coding RNAs may be relevant to AD.
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15
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Rafi SK, Fernández-Jaén A, Álvarez S, Nadeau OW, Butler MG. High Functioning Autism with Missense Mutations in Synaptotagmin-Like Protein 4 (SYTL4) and Transmembrane Protein 187 (TMEM187) Genes: SYTL4- Protein Modeling, Protein-Protein Interaction, Expression Profiling and MicroRNA Studies. Int J Mol Sci 2019; 20:E3358. [PMID: 31323913 PMCID: PMC6651166 DOI: 10.3390/ijms20133358] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 06/10/2019] [Accepted: 06/17/2019] [Indexed: 01/31/2023] Open
Abstract
We describe a 7-year-old male with high functioning autism spectrum disorder (ASD) and maternally-inherited rare missense variant of Synaptotagmin-like protein 4 (SYTL4) gene (Xq22.1; c.835C>T; p.Arg279Cys) and an unknown missense variant of Transmembrane protein 187 (TMEM187) gene (Xq28; c.708G>T; p. Gln236His). Multiple in-silico predictions described in our study indicate a potentially damaging status for both X-linked genes. Analysis of predicted atomic threading models of the mutant and the native SYTL4 proteins suggest a potential structural change induced by the R279C variant which eliminates the stabilizing Arg279-Asp60 salt bridge in the N-terminal half of the SYTL4, affecting the functionality of the protein's critical RAB-Binding Domain. In the European (Non-Finnish) population, the allele frequency for this variant is 0.00042. The SYTL4 gene is known to directly interact with several members of the RAB family of genes, such as, RAB27A, RAB27B, RAB8A, and RAB3A which are known autism spectrum disorder genes. The SYTL4 gene also directly interacts with three known autism genes: STX1A, SNAP25 and STXBP1. Through a literature-based analytical approach, we identified three of five (60%) autism-associated serum microRNAs (miRs) with high predictive power among the total of 298 mouse Sytl4 associated/predicted microRNA interactions. Five of 13 (38%) miRs were differentially expressed in serum from ASD individuals which were predicted to interact with the mouse equivalent Sytl4 gene. TMEM187 gene, like SYTL4, is a protein-coding gene that belongs to a group of genes which host microRNA genes in their introns or exons. The novel Q236H amino acid variant in the TMEM187 in our patient is near the terminal end region of the protein which is represented by multiple sequence alignments and hidden Markov models, preventing comparative structural analysis of the variant harboring region. Like SYTL4, the TMEM187 gene is expressed in the brain and interacts with four known ASD genes, namely, HCFC1; TMLHE; MECP2; and GPHN. TMM187 is in linkage with MECP2, which is a well-known determinant of brain structure and size and is a well-known autism gene. Other members of the TMEM gene family, TMEM132E and TMEM132D genes are associated with bipolar and panic disorders, respectively, while TMEM231 is a known syndromic autism gene. Together, TMEM187 and SYTL4 genes directly interact with recognized important ASD genes, and their mRNAs are found in extracellular vesicles in the nervous system and stimulate target cells to translate into active protein. Our evidence shows that both these genes should be considered as candidate genes for autism. Additional biological testing is warranted to further determine the pathogenicity of these gene variants in the causation of autism.
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Affiliation(s)
- Syed K Rafi
- Departments of Psychiatry & Behavioral Sciences and Pediatrics, University of Kansas Medical Center, Kansas City, KS 66160, USA.
| | | | - Sara Álvarez
- Genomics and Medicine, NIM Genetics, 28108 Madrid, Spain
| | - Owen W Nadeau
- Department of Biochemistry and Molecular Biology, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Merlin G Butler
- Departments of Psychiatry & Behavioral Sciences and Pediatrics, University of Kansas Medical Center, Kansas City, KS 66160, USA.
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16
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Watson CN, Belli A, Di Pietro V. Small Non-coding RNAs: New Class of Biomarkers and Potential Therapeutic Targets in Neurodegenerative Disease. Front Genet 2019; 10:364. [PMID: 31080456 PMCID: PMC6497742 DOI: 10.3389/fgene.2019.00364] [Citation(s) in RCA: 89] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 04/05/2019] [Indexed: 12/11/2022] Open
Abstract
Neurodegenerative diseases (NDs) are becoming increasingly prevalent in the world, with an aging population. In the last few decades, due to the devastating nature of these diseases, the research of biomarkers has become crucial to enable adequate treatments and to monitor the progress of disease. Currently, gene mutations, CSF and blood protein markers together with the neuroimaging techniques are the most used diagnostic approaches. However, despite the efforts in the research, conflicting data still exist, highlighting the need to explore new classes of biomarkers, particularly at early stages. Small non-coding RNAs (MicroRNA, Small nuclear RNA, Small nucleolar RNA, tRNA derived small RNA and Piwi-interacting RNA) can be considered a "relatively" new class of molecule that have already proved to be differentially regulated in many NDs, hence they represent a new potential class of biomarkers to be explored. In addition, understanding their involvement in disease development could depict the underlying pathogenesis of particular NDs, so novel treatment methods that act earlier in disease progression can be developed. This review aims to describe the involvement of small non-coding RNAs as biomarkers of NDs and their potential role in future clinical applications.
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Affiliation(s)
- Callum N. Watson
- Neuroscience and Ophthalmology Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom
- National Institute for Health Research Surgical Reconstruction and Microbiology Research Centre, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Antonio Belli
- Neuroscience and Ophthalmology Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom
- National Institute for Health Research Surgical Reconstruction and Microbiology Research Centre, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Valentina Di Pietro
- Neuroscience and Ophthalmology Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom
- National Institute for Health Research Surgical Reconstruction and Microbiology Research Centre, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, United States
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17
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Quesnel-Vallières M, Weatheritt RJ, Cordes SP, Blencowe BJ. Autism spectrum disorder: insights into convergent mechanisms from transcriptomics. Nat Rev Genet 2018; 20:51-63. [DOI: 10.1038/s41576-018-0066-2] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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18
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Tang J, Yu Y, Yang W. Long noncoding RNA and its contribution to autism spectrum disorders. CNS Neurosci Ther 2017; 23:645-656. [PMID: 28635106 PMCID: PMC6492731 DOI: 10.1111/cns.12710] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Revised: 05/15/2017] [Accepted: 05/17/2017] [Indexed: 12/13/2022] Open
Abstract
Recent studies have indicated that long noncoding RNAs (lncRNAs) play important roles in multiple processes, such as epigenetic regulation, gene expression regulation, development, nutrition-related and other diseases, toxic response, and response to drugs. Although the functional roles and mechanisms of several lncRNAs have been discovered, a better understanding of the vast majority of lncRNAs remains elusive. To understand the functional roles and mechanisms of lncRNAs is critical because these transcripts represent the majority of the transcriptional output of the mammalian genome. Recent studies have also suggested that lncRNAs are more abundant in the human brain and are involved in neurodevelopment and neurodevelopmental disorders, including autism spectrum disorders (ASDs). In this study, we review several known functions of lncRNAs and the potential contribution of lncRNAs to ASDs and to other genetic syndromes that have a similar clinical presentation to ASDs, such as fragile X syndrome and Rett syndrome.
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Affiliation(s)
- Jie Tang
- The First Affiliated Hospital of Guangzhou Medical UniversityGuangzhouChina
- Department of Preventive MedicineSchool of Public HealthGuangzhou Medical UniversityXinzaoPanyu DistrictGuangzhouChina
| | - Yizhen Yu
- Department of Child and Women Health CareSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Wei Yang
- Department of Nutrition and Food HygieneHubei Key Laboratory of Food Nutrition and SafetyTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Department of Nutrition and Food HygieneMOE Key Lab of Environment and HealthSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
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19
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Reilly J, Gallagher L, Chen JL, Leader G, Shen S. Bio-collections in autism research. Mol Autism 2017; 8:34. [PMID: 28702161 PMCID: PMC5504648 DOI: 10.1186/s13229-017-0154-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 06/23/2017] [Indexed: 01/06/2023] Open
Abstract
Autism spectrum disorder (ASD) is a group of complex neurodevelopmental disorders with diverse clinical manifestations and symptoms. In the last 10 years, there have been significant advances in understanding the genetic basis for ASD, critically supported through the establishment of ASD bio-collections and application in research. Here, we summarise a selection of major ASD bio-collections and their associated findings. Collectively, these include mapping ASD candidate genes, assessing the nature and frequency of gene mutations and their association with ASD clinical subgroups, insights into related molecular pathways such as the synapses, chromatin remodelling, transcription and ASD-related brain regions. We also briefly review emerging studies on the use of induced pluripotent stem cells (iPSCs) to potentially model ASD in culture. These provide deeper insight into ASD progression during development and could generate human cell models for drug screening. Finally, we provide perspectives concerning the utilities of ASD bio-collections and limitations, and highlight considerations in setting up a new bio-collection for ASD research.
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Affiliation(s)
- Jamie Reilly
- Regenerative Medicine Institute, School of Medicine, BioMedical Sciences Building, National University of Ireland (NUI), Galway, Ireland
| | - Louise Gallagher
- Trinity Translational Medicine Institute and Department of Psychiatry, Trinity Centre for Health Sciences, St. James Hospital Street, Dublin 8, Ireland
| | - June L Chen
- Department of Special Education, Faculty of Education, East China Normal University, Shanghai, 200062 China
| | - Geraldine Leader
- Irish Centre for Autism and Neurodevelopmental Research (ICAN), Department of Psychology, National University of Ireland Galway, University Road, Galway, Ireland
| | - Sanbing Shen
- Regenerative Medicine Institute, School of Medicine, BioMedical Sciences Building, National University of Ireland (NUI), Galway, Ireland
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20
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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: 4.7] [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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21
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Schumann CM, Sharp FR, Ander BP, Stamova B. Possible sexually dimorphic role of miRNA and other sncRNA in ASD brain. Mol Autism 2017; 8:4. [PMID: 28184278 PMCID: PMC5294827 DOI: 10.1186/s13229-017-0117-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Accepted: 01/06/2017] [Indexed: 12/18/2022] Open
Abstract
Background Autism spectrum disorder (ASD) is sexually dimorphic in brain structure, genetics, and behaviors. In studies of brain tissue, the age of the population is clearly a factor in interpreting study outcome, yet sex is rarely considered. To begin to address this issue, we extend our previously published microarray analyses to examine expression of small noncoding RNAs (sncRNAs), including microRNAs (miRNAs), in ASD and in the control temporal cortex in males and females. Predicted miRNA targets were identified as well as the pathways they overpopulate. Findings After considering age, sexual dimorphism in ASD sncRNA expression persists in the temporal cortex and in the patterning that distinguishes regions. Among the sexually dimorphic miRNAs are miR-219 and miR-338, which promote oligodendrocyte differentiation, miR-125, implicated in neuronal differentiation, and miR-488, implicated in anxiety. Putative miRNA targets are significantly over-represented in immune and nervous system pathways in both sexes, consistent with previous mRNA studies. Even for common pathways, the specific target mRNAs are often sexually dimorphic. For example, both male and female target genes significantly populate the Axonal Guidance Signaling pathway, yet less than a third of the targets are common to both sexes. Conclusions Our findings of sexual dimorphism in sncRNA levels underscore the importance of considering sex, in addition to age, when interpreting molecular findings on ASD brain. Electronic supplementary material The online version of this article (doi:10.1186/s13229-017-0117-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Cynthia M Schumann
- Department of Psychiatry and Behavioral Sciences, University of California at Davis, School of Medicine, 2805 50th Street, Sacramento, CA 95817 USA.,MIND Institute, University of California, 2805 50th Street, Sacramento, CA 95817 USA
| | - Frank R Sharp
- Department of Neurology, University of California at Davis, School of Medicine, 2805 50th Street, Sacramento, CA 95817 USA
| | - Bradley P Ander
- Department of Neurology, University of California at Davis, School of Medicine, 2805 50th Street, Sacramento, CA 95817 USA
| | - Boryana Stamova
- Department of Neurology, University of California at Davis, School of Medicine, 2805 50th Street, Sacramento, CA 95817 USA
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22
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Gokoolparsadh A, Sutton GJ, Charamko A, Green NFO, Pardy CJ, Voineagu I. Searching for convergent pathways in autism spectrum disorders: insights from human brain transcriptome studies. Cell Mol Life Sci 2016; 73:4517-4530. [PMID: 27405608 PMCID: PMC11108267 DOI: 10.1007/s00018-016-2304-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2016] [Revised: 06/16/2016] [Accepted: 07/05/2016] [Indexed: 01/07/2023]
Abstract
Autism spectrum disorder (ASD) is one of the most heritable neuropsychiatric conditions. The complex genetic landscape of the disorder includes both common and rare variants at hundreds of genetic loci. This marked heterogeneity has thus far hampered efforts to develop genetic diagnostic panels and targeted pharmacological therapies. Here, we give an overview of the current literature on the genetic basis of ASD, and review recent human brain transcriptome studies and their role in identifying convergent pathways downstream of the heterogeneous genetic variants. We also discuss emerging evidence on the involvement of non-coding genomic regions and non-coding RNAs in ASD.
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Affiliation(s)
- Akira Gokoolparsadh
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Kensington, Sydney, NSW, 2052, Australia
| | - Gavin J Sutton
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Kensington, Sydney, NSW, 2052, Australia
| | - Alexiy Charamko
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Kensington, Sydney, NSW, 2052, Australia
| | - Nicole F Oldham Green
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Kensington, Sydney, NSW, 2052, Australia
| | - Christopher J Pardy
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Kensington, Sydney, NSW, 2052, Australia
| | - Irina Voineagu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Kensington, Sydney, NSW, 2052, Australia.
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23
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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: 3.9] [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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Dykstra-Aiello C, Jickling GC, Ander BP, Shroff N, Zhan X, Liu D, Hull H, Orantia M, Stamova BS, Sharp FR. Altered Expression of Long Noncoding RNAs in Blood After Ischemic Stroke and Proximity to Putative Stroke Risk Loci. Stroke 2016; 47:2896-2903. [PMID: 27834745 DOI: 10.1161/strokeaha.116.013869] [Citation(s) in RCA: 109] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2016] [Revised: 09/20/2016] [Accepted: 10/04/2016] [Indexed: 01/01/2023]
Abstract
BACKGROUND AND PURPOSE Although peripheral blood mRNA and micro-RNA change after ischemic stroke, any role for long noncoding RNA (lncRNA), which comprise most of the genome and have been implicated in various diseases, is unknown. Thus, we hypothesized that lncRNA expression also changes after stroke. METHODS lncRNA expression was assessed in 266 whole-blood RNA samples drawn once per individual from patients with ischemic stroke and matched with vascular risk factor controls. Differential lncRNA expression was assessed by ANCOVA (P<0.005; fold change>|1.2|), principal components analysis, and hierarchical clustering on a derivation set (n=176) and confirmed on a validation set (n=90). Poststroke temporal lncRNA expression changes were assessed using ANCOVA with confounding factor correction (P<0.005; partial correlation with time since event >|0.4|). Because sexual dimorphism exists in stroke, analyses were performed for each sex separately. RESULTS A total of 299 lncRNAs were differentially expressed between stroke and control males, whereas 97 lncRNAs were differentially expressed between stroke and control females. Significant changes of lncRNA expression with time after stroke were detected for 49 lncRNAs in men and 31 lncRNAs in women. Some differentially expressed lncRNAs mapped close to genomic locations of previously identified putative stroke-risk genes, including lipoprotein, lipoprotein(a)-like 2, ABO (transferase A, α1-3-N-acetylgalactosaminyltransferase; transferase B, α1-3-galactosyltransferase) blood group, prostaglandin 12 synthase, and α-adducins. CONCLUSIONS This study provides evidence of altered and sexually dimorphic lncRNA expression in peripheral blood of patients with stroke compared with that of controls and suggests that lncRNAs have potential for stroke biomarker development. Some regulated lncRNA could regulate some previously identified putative stroke-risk genes.
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Affiliation(s)
| | - Glen C Jickling
- From the Department of Neurology, University of California at Davis, Sacramento
| | - Bradley P Ander
- From the Department of Neurology, University of California at Davis, Sacramento
| | - Natasha Shroff
- From the Department of Neurology, University of California at Davis, Sacramento
| | - Xinhua Zhan
- From the Department of Neurology, University of California at Davis, Sacramento
| | - DaZhi Liu
- From the Department of Neurology, University of California at Davis, Sacramento
| | - Heather Hull
- From the Department of Neurology, University of California at Davis, Sacramento
| | - Miles Orantia
- From the Department of Neurology, University of California at Davis, Sacramento
| | - Boryana S Stamova
- From the Department of Neurology, University of California at Davis, Sacramento.
| | - Frank R Sharp
- From the Department of Neurology, University of California at Davis, Sacramento
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Hicks SD, Middleton FA. A Comparative Review of microRNA Expression Patterns in Autism Spectrum Disorder. Front Psychiatry 2016; 7:176. [PMID: 27867363 PMCID: PMC5095455 DOI: 10.3389/fpsyt.2016.00176] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2016] [Accepted: 10/11/2016] [Indexed: 11/13/2022] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by a wide spectrum of deficits in social interaction, communication, and behavior. There is a significant genetic component to ASD, yet no single gene variant accounts for >1% of incidence. Posttranscriptional mechanisms such as microRNAs (miRNAs) regulate gene expression without altering the genetic code. They are abundant in the developing brain and are dysregulated in children with ASD. Patterns of miRNA expression are altered in the brain, blood, saliva, and olfactory precursor cells of ASD subjects. The ability of miRNAs to regulate broad molecular pathways in response to environmental stimuli makes them an intriguing player in ASD, a disorder characterized by genetic predisposition with ill-defined environmental triggers. In addition, the availability and extracellular stability of miRNAs make them an ideal candidate for biomarker discovery. Here, we discuss 27 miRNAs with overlap across ASD studies, including 3 miRNAs identified in 3 or more studies (miR-23a, miR-146a, and miR-106b). Together, these 27 miRNAs have 1245 high-confidence mRNA targets, a significant number of which are expressed in the brain. Furthermore, these mRNA targets demonstrate over-representation of autism-related genes with enrichment of neurotrophic signaling molecules. Brain-derived neurotrophic factor, a molecule involved in hippocampal neurogenesis and altered in ASD, is targeted by 6 of the 27 miRNAs of interest. This neurotrophic pathway represents one intriguing mechanism by which perturbations in miRNA signaling might influence central nervous system development in children with ASD.
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Affiliation(s)
- Steven D. Hicks
- Department of Pediatrics, Penn State College of Medicine, Hershey, PA, USA
| | - Frank A. Middleton
- Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
- Department of Biochemistry and Molecular Biology, SUNY Upstate Medical University, Syracuse, NY, USA
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Meller R, Pearson AN, Hardy JJ, Hall CL, McGuire D, Frankel MR, Simon RP. Blood transcriptome changes after stroke in an African American population. Ann Clin Transl Neurol 2016; 3:70-81. [PMID: 26900583 PMCID: PMC4748310 DOI: 10.1002/acn3.272] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Revised: 10/07/2015] [Accepted: 10/28/2015] [Indexed: 12/20/2022] Open
Abstract
Objective Molecular diagnostic medicine holds much promise to change point of care treatment. An area where additional diagnostic tools are needed is in acute stroke care, to assist in diagnosis and prognosis. Previous studies using microarray‐based gene expression analysis of peripheral blood following stroke suggests this approach may be effective. Next‐generation sequencing (NGS) approaches have expanded genomic analysis and are not limited to previously identified genes on a microarray chip. Here, we report on a pilot NGS study to identify gene expression and exon expression patterns for the prediction of stroke diagnosis and prognosis. Methods We recruited 28 stroke patients and 28 age‐ and sex‐matched hypertensive controls. RNA was extracted from 3 mL blood samples, and RNA‐Seq libraries were assembled and sequenced. Results Bioinformatical analysis of the aligned RNA data reveal exonic (30%), intronic (36%), and novel RNA components (not currently annotated: 33%). We focused our study on patients with confirmed middle cerebral artery occlusion ischemic stroke (n = 17). On the basis of our observation of differential splicing of gene transcripts, we used all exonic RNA expression rather than gene expression (combined exons) to build prediction models using support vector machine algorithms. Based on model building, these models have a high predicted accuracy rate >90% (spec. 88% sen. 92%). We further stratified outcome based on the improvement in NIHss scores at discharge; based on model building we observe a predicted 100% accuracy rate. Interpretation NGS‐based exon expression analysis approaches have a high potential for patient diagnosis and outcome prediction, with clear utility to aid in clinical patient care.
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Affiliation(s)
- Robert Meller
- Translational Stroke Program Neuroscience Institute Morehouse School of Medicine Atlanta Georgia
| | - Andrea N Pearson
- Translational Stroke Program Neuroscience Institute Morehouse School of Medicine Atlanta Georgia
| | - Jimmaline J Hardy
- Translational Stroke Program Neuroscience Institute Morehouse School of Medicine Atlanta Georgia
| | - Casey L Hall
- Grady Memorial Hospital Atlanta Georgia; Department of Neurology Emory University Atlanta Georgia
| | - Dawn McGuire
- Translational Stroke Program Neuroscience Institute Morehouse School of Medicine Atlanta Georgia
| | - Michael R Frankel
- Grady Memorial Hospital Atlanta Georgia; Department of Neurology Emory University Atlanta Georgia
| | - Roger P Simon
- Translational Stroke Program Neuroscience Institute Morehouse School of Medicine Atlanta Georgia; Grady Memorial Hospital Atlanta Georgia
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27
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Ghanbari M, Darweesh SK, de Looper HW, van Luijn MM, Hofman A, Ikram MA, Franco OH, Erkeland SJ, Dehghan A. Genetic Variants in MicroRNAs and Their Binding Sites Are Associated with the Risk of Parkinson Disease. Hum Mutat 2015; 37:292-300. [DOI: 10.1002/humu.22943] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2015] [Accepted: 12/04/2015] [Indexed: 12/21/2022]
Affiliation(s)
- Mohsen Ghanbari
- Department of Epidemiology; Erasmus University Medical Center; Rotterdam 3000 CA The Netherlands
- Department of Genetics, School of Medicine; Mashhad University of Medical Sciences; Mashhad Iran
| | - Sirwan K.L. Darweesh
- Department of Epidemiology; Erasmus University Medical Center; Rotterdam 3000 CA The Netherlands
| | - Hans W.J. de Looper
- Department of Hematology, Erasmus University Medical Center; Cancer Institute; Rotterdam 3000 CA The Netherlands
| | - Marvin M. van Luijn
- Department of Immunology, MS Center ErasMS; Erasmus University Medical Center; Rotterdam 3000 CA The Netherlands
| | - Albert Hofman
- Department of Epidemiology; Erasmus University Medical Center; Rotterdam 3000 CA The Netherlands
- Department of Epidemiology; Harvard T.H. Chan School of Public Health; Boston Mass USA
| | - M. Arfan Ikram
- Department of Epidemiology; Erasmus University Medical Center; Rotterdam 3000 CA The Netherlands
| | - Oscar H. Franco
- Department of Epidemiology; Erasmus University Medical Center; Rotterdam 3000 CA The Netherlands
| | - Stefan J. Erkeland
- Department of Immunology; Erasmus University Medical Center; Rotterdam 3000 CA The Netherlands
| | - Abbas Dehghan
- Department of Epidemiology; Erasmus University Medical Center; Rotterdam 3000 CA The Netherlands
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