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Watson LM, Wong MMK, Becker EBE. Induced pluripotent stem cell technology for modelling and therapy of cerebellar ataxia. Open Biol 2016; 5:150056. [PMID: 26136256 PMCID: PMC4632502 DOI: 10.1098/rsob.150056] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Induced pluripotent stem cell (iPSC) technology has emerged as an important tool in understanding, and potentially reversing, disease pathology. This is particularly true in the case of neurodegenerative diseases, in which the affected cell types are not readily accessible for study. Since the first descriptions of iPSC-based disease modelling, considerable advances have been made in understanding the aetiology and progression of a diverse array of neurodegenerative conditions, including Parkinson's disease and Alzheimer's disease. To date, however, relatively few studies have succeeded in using iPSCs to model the neurodegeneration observed in cerebellar ataxia. Given the distinct neurodevelopmental phenotypes associated with certain types of ataxia, iPSC-based models are likely to provide significant insights, not only into disease progression, but also to the development of early-intervention therapies. In this review, we describe the existing iPSC-based disease models of this heterogeneous group of conditions and explore the challenges associated with generating cerebellar neurons from iPSCs, which have thus far hindered the expansion of this research.
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Affiliation(s)
- Lauren M Watson
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Maggie M K Wong
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Esther B E Becker
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
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5
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Di Gregorio E, Borroni B, Giorgio E, Lacerenza D, Ferrero M, Lo Buono N, Ragusa N, Mancini C, Gaussen M, Calcia A, Mitro N, Hoxha E, Mura I, Coviello DA, Moon YA, Tesson C, Vaula G, Couarch P, Orsi L, Duregon E, Papotti MG, Deleuze JF, Imbert J, Costanzi C, Padovani A, Giunti P, Maillet-Vioud M, Durr A, Brice A, Tempia F, Funaro A, Boccone L, Caruso D, Stevanin G, Brusco A. ELOVL5 mutations cause spinocerebellar ataxia 38. Am J Hum Genet 2014; 95:209-17. [PMID: 25065913 DOI: 10.1016/j.ajhg.2014.07.001] [Citation(s) in RCA: 76] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2014] [Accepted: 07/02/2014] [Indexed: 12/18/2022] Open
Abstract
Spinocerebellar ataxias (SCAs) are a heterogeneous group of autosomal-dominant neurodegenerative disorders involving the cerebellum and 23 different genes. We mapped SCA38 to a 56 Mb region on chromosome 6p in a SCA-affected Italian family by whole-genome linkage analysis. Targeted resequencing identified a single missense mutation (c.689G>T [p.Gly230Val]) in ELOVL5. Mutation screening of 456 independent SCA-affected individuals identified the same mutation in two further unrelated Italian families. Haplotyping showed that at least two of the three families shared a common ancestor. One further missense variant (c.214C>G [p.Leu72Val]) was found in a French family. Both missense changes affect conserved amino acids, are predicted to be damaging by multiple bioinformatics tools, and were not identified in ethnically matched controls or within variant databases. ELOVL5 encodes an elongase involved in the synthesis of polyunsaturated fatty acids of the ω3 and ω6 series. Arachidonic acid and docosahexaenoic acid, two final products of the enzyme, were reduced in the serum of affected individuals. Immunohistochemistry on control mice and human brain demonstrated high levels in Purkinje cells. In transfection experiments, subcellular localization of altered ELOVL5 showed a perinuclear distribution with a signal increase in the Golgi compartment, whereas the wild-type showed a widespread signal in the endoplasmic reticulum. SCA38 and SCA34 are examples of SCAs due to mutations in elongase-encoding genes, emphasizing the importance of fatty-acid metabolism in neurological diseases.
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Affiliation(s)
- Eleonora Di Gregorio
- Department of Medical Sciences, University of Torino, 10126 Torino, Italy; Medical Genetics Unit, Azienda Ospedaliera Universitaria Città della Salute e della Scienza, 10126 Torino, Italy
| | - Barbara Borroni
- Department of Neurology, University of Brescia, 25100 Brescia, Italy
| | - Elisa Giorgio
- Department of Medical Sciences, University of Torino, 10126 Torino, Italy
| | - Daniela Lacerenza
- Department of Medical Sciences, University of Torino, 10126 Torino, Italy
| | - Marta Ferrero
- Department of Medical Sciences, University of Torino, 10126 Torino, Italy
| | - Nicola Lo Buono
- Department of Medical Sciences, University of Torino, 10126 Torino, Italy
| | - Neftj Ragusa
- Department of Medical Sciences, University of Torino, 10126 Torino, Italy
| | - Cecilia Mancini
- Department of Medical Sciences, University of Torino, 10126 Torino, Italy
| | - Marion Gaussen
- Institut National de la Santé et de la Recherche Médicale U1127, 75013 Paris, France; Centre National de la Recherche Scientifique UMR 7225, 75013 Paris, France; Sorbonne Universités, Université Pierre et Marie Curie (Paris 6) UMR_S 1127, Institut du Cerveau et de la Moelle Épinière, 75013 Paris, France; Neurogenetics team, École Pratique des Hautes Études, HéSam Université, 75013 Paris, France
| | - Alessandro Calcia
- Department of Medical Sciences, University of Torino, 10126 Torino, Italy
| | - Nico Mitro
- Department of Pharmacological and Biomolecular Sciences, University of Milano, 20133 Milano, Italy
| | - Eriola Hoxha
- Neuroscience Institute Cavalieri Ottolenghi, University of Torino, 10043 Orbassano, Italy
| | - Isabella Mura
- Laboratory of Human Genetics, Galliera Hospital, 16128 Genova, Italy
| | | | - Young-Ah Moon
- Department of Molecular Genetics, University of Texas Southwestern Medical Center, Dallas, TX 75390-9046, USA
| | - Christelle Tesson
- Institut National de la Santé et de la Recherche Médicale U1127, 75013 Paris, France; Centre National de la Recherche Scientifique UMR 7225, 75013 Paris, France; Sorbonne Universités, Université Pierre et Marie Curie (Paris 6) UMR_S 1127, Institut du Cerveau et de la Moelle Épinière, 75013 Paris, France; Neurogenetics team, École Pratique des Hautes Études, HéSam Université, 75013 Paris, France
| | - Giovanna Vaula
- Neurologic Division 1, Department of Neuroscience and Mental Health, Azienda Ospedaliera Universitaria Città della Salute e della Scienza, 10126 Torino, Italy
| | - Philippe Couarch
- Institut National de la Santé et de la Recherche Médicale U1127, 75013 Paris, France; Centre National de la Recherche Scientifique UMR 7225, 75013 Paris, France; Sorbonne Universités, Université Pierre et Marie Curie (Paris 6) UMR_S 1127, Institut du Cerveau et de la Moelle Épinière, 75013 Paris, France
| | - Laura Orsi
- Neurologic Division 1, Department of Neuroscience and Mental Health, Azienda Ospedaliera Universitaria Città della Salute e della Scienza, 10126 Torino, Italy
| | - Eleonora Duregon
- Department of Oncology, University of Torino at San Luigi Hospital, 10043 Orbassano, Italy
| | - Mauro Giulio Papotti
- Department of Oncology, University of Torino at San Luigi Hospital, 10043 Orbassano, Italy
| | | | - Jean Imbert
- Transcriptomic and Genomic Marseille-Luminy platform, Technological Advances for Genomics and Clinics Laboratory, Institut National de la Santé et de la Recherche Médicale UMR_S 1090, Aix-Marseille University, 13009 Marseille, France
| | - Chiara Costanzi
- Department of Neurology, University of Brescia, 25100 Brescia, Italy
| | | | - Paola Giunti
- Department of Molecular Neuroscience, University College London Institute of Neurology, WC1 N3BG London, UK
| | | | - Alexandra Durr
- Institut National de la Santé et de la Recherche Médicale U1127, 75013 Paris, France; Centre National de la Recherche Scientifique UMR 7225, 75013 Paris, France; Sorbonne Universités, Université Pierre et Marie Curie (Paris 6) UMR_S 1127, Institut du Cerveau et de la Moelle Épinière, 75013 Paris, France; Fédération de Génétique, Pitié-Salpêtrière Hospital, Assistance Publique - Hôpitaux de Paris, 75013 Paris, France
| | - Alexis Brice
- Institut National de la Santé et de la Recherche Médicale U1127, 75013 Paris, France; Centre National de la Recherche Scientifique UMR 7225, 75013 Paris, France; Sorbonne Universités, Université Pierre et Marie Curie (Paris 6) UMR_S 1127, Institut du Cerveau et de la Moelle Épinière, 75013 Paris, France; Fédération de Génétique, Pitié-Salpêtrière Hospital, Assistance Publique - Hôpitaux de Paris, 75013 Paris, France
| | - Filippo Tempia
- Neuroscience Institute Cavalieri Ottolenghi, University of Torino, 10043 Orbassano, Italy
| | - Ada Funaro
- Department of Medical Sciences, University of Torino, 10126 Torino, Italy
| | - Loredana Boccone
- Ospedale Regionale Microcitemie, Azienda Unità Sanitaria Locale 8, 09121 Cagliari, Italy
| | - Donatella Caruso
- Neuroscience Institute Cavalieri Ottolenghi, University of Torino, 10043 Orbassano, Italy
| | - Giovanni Stevanin
- Institut National de la Santé et de la Recherche Médicale U1127, 75013 Paris, France; Centre National de la Recherche Scientifique UMR 7225, 75013 Paris, France; Sorbonne Universités, Université Pierre et Marie Curie (Paris 6) UMR_S 1127, Institut du Cerveau et de la Moelle Épinière, 75013 Paris, France; Neurogenetics team, École Pratique des Hautes Études, HéSam Université, 75013 Paris, France; Fédération de Génétique, Pitié-Salpêtrière Hospital, Assistance Publique - Hôpitaux de Paris, 75013 Paris, France
| | - Alfredo Brusco
- Department of Medical Sciences, University of Torino, 10126 Torino, Italy; Medical Genetics Unit, Azienda Ospedaliera Universitaria Città della Salute e della Scienza, 10126 Torino, Italy.
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Rinflerch AR, Burgos VL, Ielpi M, Quintana MO, Hidalgo AM, Loresi M, Argibay PF. Inhibition of brain ST8SiaIII sialyltransferase leads to impairment of procedural memory in mice. Neurochem Int 2013; 63:397-404. [PMID: 23932970 DOI: 10.1016/j.neuint.2013.07.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2013] [Revised: 07/27/2013] [Accepted: 07/30/2013] [Indexed: 01/04/2023]
Abstract
Several glycoproteins in mammalian brains contain α2,8-linked disialic acid residues. We previously showed a constant expression of disialic acid (DiSia) in the hippocampus, olfactory bulb and cortex, and a gradual decrease of expression in the cerebellum from neonatal to senile mice. Previous publications indicate that neurite extension of neuroblastoma-derived Neuro2A cells is inhibited in the presence of DiSia antibody. Based on this, we treated Neuro2A cell cultures with RNA interference for ST8SiaIII mRNA, the enzyme responsible for DiSia formation. We observed that neurite extension was inhibited by this treatment. Taking this evidence into consideration and the relationship of the cerebellum with learning and memory, we studied the role of DiSia expression in a learning task. Through delivery of pST8SiaIII into the brains of C57BL/6 neonatal mice, we inhibited the expression of ST8SiaIII. ST8SiaIII mRNA and protein expressions were analyzed by real-time PCR and western blot, respectively. In this work, we showed that pST8SiaIII-treated mice presented a significantly reduced level of ST8SiaIII mRNA in the cerebellum (p<0.01) in comparison to control mice at 8 days after treatment. It is also noted that these levels returned to baseline values in the adulthood. Then, we evaluated behavioural performance in the T-Maze, a learning task that estimates procedural memory. At all ages, pST8SiaIII-treated mice showed a lower performance in the test session, being most evident at older ages (p<0.001). Taken all together, we conclude that gene expression of ST8SiaIII is necessary for some cognitive tasks at early postnatal ages, since reduced levels impaired procedural memory in adult mice.
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Affiliation(s)
- Adriana R Rinflerch
- Instituto de Ciencias Básicas y Medicina Experimental - Hospital Italiano de Buenos Aires, Potosí 4240 8th floor, C1199ACL, Ciudad Autónoma de Buenos Aires, Argentina
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Selakovic V, Korenic A, Radenovic L. Spatial and temporal patterns of oxidative stress in the brain of gerbils submitted to different duration of global cerebral ischemia. Int J Dev Neurosci 2011; 29:645-54. [PMID: 21382467 DOI: 10.1016/j.ijdevneu.2011.02.009] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2010] [Revised: 02/01/2011] [Accepted: 02/25/2011] [Indexed: 10/18/2022] Open
Abstract
The present study was undertaken to examine spatial and temporal patterns of oxidative stress rate in the brain of Mongolian gerbils submitted to different duration of global ischemia/reperfusion. The common carotid arteries of gerbils were occluded for 5, 10, or 15 min. We followed the temporal ischemia-induced oxidative stress rate, the most important factor that exacerbates brain damage by reperfusion, starting from 24 h up to 28 days after reperfusion. The spatial ischemia-induced oxidative stress distribution was measured parallely in different brain regions: forebrain cortex, striatum, hippocampus and cerebellum. Post-ischemic effects were followed in vivo by monitoring the neurological status of whole animals and at the intracellular level by standard biochemical assays in different brain regions. We measured superoxide production, superoxide dismutase activity, nitric oxide production, index of lipid peroxidation, and reduced glutathione. Our results revealed a pattern of dynamic changes in each oxidative stress parameter that corresponded with ischemia duration in all tested brain structures. The highest levels were obtained in the first 24h after the insult. After that, they slowly returned to nearly control values 28 days after reperfusion (with the exception of SOD activity that returned to control values at fourth day after reperfusion). The most sensitive oxidative stress parameter was index of lipid peroxidation. Our study confirmed spatial distribution of ischemia-induced oxidative stress. Tested brain structures showed different sensitivity to each oxidative stress parameter, although their basal levels were similar. These new findings could be valuable for creation and strategy of post-ischemic therapy.
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Selakovic V, Janac B, Radenovic L. MK-801 effect on regional cerebral oxidative stress rate induced by different duration of global ischemia in gerbils. Mol Cell Biochem 2010; 342:35-50. [PMID: 20422259 DOI: 10.1007/s11010-010-0466-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2009] [Accepted: 04/12/2010] [Indexed: 12/19/2022]
Abstract
We investigated MK-801 effect on ischemia-induced oxidative stress-the most important factor that exacerbates brain damage by reperfusion. The common carotid arteries of gerbils were occluded for 5, 10, or 15 min. Immediately after the occlusion, MK-801 (3 mg/kg i.p.) or saline were given in normothermic conditions. The MK-801 effects were followed in vivo by monitoring the neurological status of animals and at the intracellular level by standard biochemical assays. We investigated nitric oxide levels, superoxide production, superoxide dismutase activity, index of lipid peroxidation (ILP), and reduced glutathione content in hippocampus, striatum, forebrain cortex, and cerebellum. The measurements took place at different times (1, 2, 4, 7, 14, and 28 days) after reperfusion. Increased duration of cerebral ischemia resulted in a progressive induction of oxidative stress. Our results revealed pattern of dynamic changes in each oxidative stress parameter level which corresponded with ischemia duration in all tested brain structures. Most sensitive oxidative stress parameters were ILP and superoxide production. Our study confirmed spatial distribution of ischemia-induced oxidative stress. Tested brain structures showed different sensitivity to each oxidative stress parameter. As judged by biochemical and neurological data, applied MK-801 showed neuroprotective efficiency by reduction of ischemia-induced oxidative stress in brain.
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