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Ruiz de Sabando A, Ciosi M, Galbete A, Cumming SA, Monckton DG, Ramos-Arroyo MA. Somatic CAG repeat instability in intermediate alleles of the HTT gene and its potential association with a clinical phenotype. Eur J Hum Genet 2024; 32:770-778. [PMID: 38433266 PMCID: PMC11220145 DOI: 10.1038/s41431-024-01546-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 01/08/2024] [Accepted: 01/17/2024] [Indexed: 03/05/2024] Open
Abstract
Huntington disease (HD) is a neurodegenerative disorder caused by ≥36 CAGs in the HTT gene. Intermediate alleles (IAs) (27-35 CAGs) are not considered HD-causing, but their potential association with neurocognitive symptoms remains controversial. As HTT somatic CAG expansion influences HD onset, we hypothesised that IAs are somatically unstable, and that somatic CAG expansion may drive phenotypic presentation in some IA carriers. We quantified HTT somatic CAG expansions by MiSeq sequencing in the blood DNA of 164 HD subjects and 191 IA (symptomatic and control) carriers, and in the brain DNA of a symptomatic 33 CAG carrier. We also performed genotype-phenotype analysis. The phenotype of symptomatic IA carriers was characterised by motor (85%), cognitive (27%) and/or behavioural (29%) signs, with a late (58.7 ± 18.6 years), but not CAG-dependent, age at onset. IAs displayed somatic expansion that were CAG and age-dependent in blood DNA, with 0.4% and 0.01% of DNA molecules expanding by CAG and year, respectively. Somatic expansions of +1 and +2 CAGs were detected in the brain of the individual with 33 CAGs, with the highest expansion frequency in the putamen (10.3%) and the lowest in the cerebellum (4.8%). Somatic expansion in blood DNA was not different in symptomatic vs. control IA carriers. In conclusion, we show that HTT IAs are somatically unstable, but we found no association with HD-like phenotypes. It is plausible, however, that some IAs, close to the HD pathological threshold and with a predisposing genetic background, could manifest with neurocognitive symptoms.
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Affiliation(s)
- Ainara Ruiz de Sabando
- Department of Medical Genetics, Hospital Universitario de Navarra, IdiSNA, 31008, Pamplona, Spain
- Department of Health Sciences, Universidad Pública de Navarra, IdiSNA, 31008, Pamplona, Spain
- Fundación Miguel Servet-Navarrabiomed, IdiSNA, 31008, Pamplona, Spain
| | - Marc Ciosi
- School of Molecular Biosciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Arkaitz Galbete
- Department of Statistics, Informatics and Mathematics, Universidad Pública de Navarra, IdiSNA, 31006, Pamplona, Spain
| | - Sarah A Cumming
- School of Molecular Biosciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Darren G Monckton
- School of Molecular Biosciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Maria A Ramos-Arroyo
- Department of Medical Genetics, Hospital Universitario de Navarra, IdiSNA, 31008, Pamplona, Spain.
- Fundación Miguel Servet-Navarrabiomed, IdiSNA, 31008, Pamplona, Spain.
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2
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Pengo M, Squitieri F. Beyond CAG Repeats: The Multifaceted Role of Genetics in Huntington Disease. Genes (Basel) 2024; 15:807. [PMID: 38927742 PMCID: PMC11203031 DOI: 10.3390/genes15060807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 06/11/2024] [Accepted: 06/18/2024] [Indexed: 06/28/2024] Open
Abstract
Huntington disease (HD) is a dominantly inherited neurodegenerative disorder caused by a CAG expansion on the huntingtin (HTT) gene and is characterized by progressive motor, cognitive, and neuropsychiatric decline. Recently, new genetic factors besides CAG repeats have been implicated in the disease pathogenesis. Most genetic modifiers are involved in DNA repair pathways and, as the cause of the loss of CAA interruption in the HTT gene, they exert their main influence through somatic expansion. However, this mechanism might not be the only driver of HD pathogenesis, and future studies are warranted in this field. The aim of the present review is to dissect the many faces of genetics in HD pathogenesis, from cis- and trans-acting genetic modifiers to RNA toxicity, mitochondrial DNA mutations, and epigenetics factors. Exploring genetic modifiers of HD onset and progression appears crucial to elucidate not only disease pathogenesis, but also to improve disease prediction and prevention, develop biomarkers of disease progression and response to therapies, and recognize new therapeutic opportunities. Since the same genetic mechanisms are also described in other repeat expansion diseases, their implications might encompass the whole spectrum of these disorders.
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Affiliation(s)
- Marta Pengo
- Department of Molecular and Translational Medicine, University of Brescia, 25121 Brescia, Italy;
| | - Ferdinando Squitieri
- Centre for Neurological Rare Diseases (CMNR), Fondazione Lega Italiana Ricerca Huntington (LIRH), 00161 Rome, Italy
- Huntington and Rare Diseases Unit, IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy
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3
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Burtscher J, Strasser B, Pepe G, Burtscher M, Kopp M, Di Pardo A, Maglione V, Khamoui AV. Brain-Periphery Interactions in Huntington's Disease: Mediators and Lifestyle Interventions. Int J Mol Sci 2024; 25:4696. [PMID: 38731912 PMCID: PMC11083237 DOI: 10.3390/ijms25094696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 04/22/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024] Open
Abstract
Prominent pathological features of Huntington's disease (HD) are aggregations of mutated Huntingtin protein (mHtt) in the brain and neurodegeneration, which causes characteristic motor (such as chorea and dystonia) and non-motor symptoms. However, the numerous systemic and peripheral deficits in HD have gained increasing attention recently, since those factors likely modulate disease progression, including brain pathology. While whole-body metabolic abnormalities and organ-specific pathologies in HD have been relatively well described, the potential mediators of compromised inter-organ communication in HD have been insufficiently characterized. Therefore, we applied an exploratory literature search to identify such mediators. Unsurprisingly, dysregulation of inflammatory factors, circulating mHtt, and many other messenger molecules (hormones, lipids, RNAs) were found that suggest impaired inter-organ communication, including of the gut-brain and muscle-brain axis. Based on these findings, we aimed to assess the risks and potentials of lifestyle interventions that are thought to improve communication across these axes: dietary strategies and exercise. We conclude that appropriate lifestyle interventions have great potential to reduce symptoms and potentially modify disease progression (possibly via improving inter-organ signaling) in HD. However, impaired systemic metabolism and peripheral symptoms warrant particular care in the design of dietary and exercise programs for people with HD.
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Affiliation(s)
- Johannes Burtscher
- Institute of Sport Sciences, University of Lausanne, 1015 Lausanne, Switzerland
| | - Barbara Strasser
- Ludwig Boltzmann Institute for Rehabilitation Research, 1100 Vienna, Austria;
- Faculty of Medicine, Sigmund Freud Private University, 1020 Vienna, Austria
| | - Giuseppe Pepe
- IRCCS Neuromed, 86077 Pozzilli, Italy; (G.P.); (A.D.P.); (V.M.)
| | - Martin Burtscher
- Department of Sport Science, University of Innsbruck, 6020 Innsbruck, Austria; (M.B.); (M.K.)
| | - Martin Kopp
- Department of Sport Science, University of Innsbruck, 6020 Innsbruck, Austria; (M.B.); (M.K.)
| | - Alba Di Pardo
- IRCCS Neuromed, 86077 Pozzilli, Italy; (G.P.); (A.D.P.); (V.M.)
| | | | - Andy V. Khamoui
- Department of Exercise Science and Health Promotion, Florida Atlantic University, Boca Raton, FL 33458, USA;
- Institute for Human Health and Disease Intervention, Florida Atlantic University, Jupiter, FL 33458, USA
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4
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Wells RG, Neilson LE, McHill AW, Hiller AL. Dietary fasting and time-restricted eating in Huntington's disease: therapeutic potential and underlying mechanisms. Transl Neurodegener 2024; 13:17. [PMID: 38561866 PMCID: PMC10986006 DOI: 10.1186/s40035-024-00406-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 02/23/2024] [Indexed: 04/04/2024] Open
Abstract
Huntington's disease (HD) is a devastating neurodegenerative disorder caused by aggregation of the mutant huntingtin (mHTT) protein, resulting from a CAG repeat expansion in the huntingtin gene HTT. HD is characterized by a variety of debilitating symptoms including involuntary movements, cognitive impairment, and psychiatric disturbances. Despite considerable efforts, effective disease-modifying treatments for HD remain elusive, necessitating exploration of novel therapeutic approaches, including lifestyle modifications that could delay symptom onset and disease progression. Recent studies suggest that time-restricted eating (TRE), a form of intermittent fasting involving daily caloric intake within a limited time window, may hold promise in the treatment of neurodegenerative diseases, including HD. TRE has been shown to improve mitochondrial function, upregulate autophagy, reduce oxidative stress, regulate the sleep-wake cycle, and enhance cognitive function. In this review, we explore the potential therapeutic role of TRE in HD, focusing on its underlying physiological mechanisms. We discuss how TRE might enhance the clearance of mHTT, recover striatal brain-derived neurotrophic factor levels, improve mitochondrial function and stress-response pathways, and synchronize circadian rhythm activity. Understanding these mechanisms is critical for the development of targeted lifestyle interventions to mitigate HD pathology and improve patient outcomes. While the potential benefits of TRE in HD animal models are encouraging, future comprehensive clinical trials will be necessary to evaluate its safety, feasibility, and efficacy in persons with HD.
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Affiliation(s)
- Russell G Wells
- Department of Neurology, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239, USA.
| | - Lee E Neilson
- Department of Neurology, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239, USA
- Neurology and PADRECC VA Portland Health Care System, Portland, OR, 97239, USA
| | - Andrew W McHill
- Sleep, Chronobiology and Health Laboratory, School of Nursing, Oregon Health & Science University, Portland, OR, 97239, USA
- Oregon Institute of Occupational Health Sciences, Oregon Health & Sciences University, Portland, OR, 97239, USA
| | - Amie L Hiller
- Department of Neurology, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239, USA
- Neurology and PADRECC VA Portland Health Care System, Portland, OR, 97239, USA
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5
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Cheng Y, Zhang S, Shang H. Latest advances on new promising molecular-based therapeutic approaches for Huntington's disease. J Transl Int Med 2024; 12:134-147. [PMID: 38779119 PMCID: PMC11107186 DOI: 10.2478/jtim-2023-0142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2024] Open
Abstract
Huntington's disease (HD) is a devastating, autosomal-dominant inherited, neurodegenerative disorder characterized by progressive motor deficits, cognitive impairments, and neuropsychiatric symptoms. It is caused by excessive cytosine-adenine-guanine (CAG) trinucleotide repeats within the huntingtin gene (HTT). Presently, therapeutic interventions capable of altering the trajectory of HD are lacking, while medications for abnormal movement and psychiatric symptoms are limited. Numerous pre-clinical and clinical studies have been conducted and are currently underway to test the efficacy of therapeutic approaches targeting some of these mechanisms with varying degrees of success. In this review, we update the latest advances on new promising molecular-based therapeutic strategies for this disorder, including DNA-targeting techniques such as zinc-finger proteins, transcription activator-like effector nucleases, and CRISPR/Cas9; post-transcriptional huntingtin-lowering approaches such as RNAi, antisense oligonucleotides, and small-molecule splicing modulators; and novel methods to clear the mHTT protein, such as proteolysis-targeting chimeras. We mainly focus on the ongoing clinical trials and the latest pre-clinical studies to explore the progress of emerging potential HD therapeutics.
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Affiliation(s)
- Yangfan Cheng
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare disease center, West China Hospital, Sichuan University, Chengdu610041, Sichuan Province, China
| | - Sirui Zhang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare disease center, West China Hospital, Sichuan University, Chengdu610041, Sichuan Province, China
| | - Huifang Shang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare disease center, West China Hospital, Sichuan University, Chengdu610041, Sichuan Province, China
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6
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Bondulich MK, Phillips J, Cañibano-Pico M, Nita IM, Byrne LM, Wild EJ, Bates GP. Translatable plasma and CSF biomarkers for use in mouse models of Huntington's disease. Brain Commun 2024; 6:fcae030. [PMID: 38370446 PMCID: PMC10873584 DOI: 10.1093/braincomms/fcae030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 12/14/2023] [Accepted: 02/05/2024] [Indexed: 02/20/2024] Open
Abstract
Huntington's disease is an inherited neurodegenerative disorder for which a wide range of disease-modifying therapies are in development and the availability of biomarkers to monitor treatment response is essential for the success of clinical trials. Baseline levels of neurofilament light chain in CSF and plasma have been shown to be effective in predicting clinical disease status, subsequent clinical progression and brain atrophy. The identification of further sensitive prognostic fluid biomarkers is an active research area, and total-Tau and YKL-40 levels have been shown to be increased in CSF from Huntington's disease mutation carriers. The use of readouts with clinical utility in the preclinical assessment of potential therapeutics should aid in the translation of new treatments. Here, we set out to determine how the concentrations of these three proteins change in plasma and CSF with disease progression in representative, well-established mouse models of Huntington's disease. Plasma and CSF were collected throughout disease progression from R6/2 transgenic mice with CAG repeats of 200 or 90 codons (R6/2:Q200 and R6/2:Q90), zQ175 knock-in mice and YAC128 transgenic mice, along with their respective wild-type littermates. Neurofilament light chain and total-Tau concentrations were quantified in CSF and plasma using ultrasensitive single-molecule array (Quanterix) assays, and a novel Quanterix assay was developed for breast regression protein 39 (mouse homologue of YKL-40) and used to quantify breast regression protein 39 levels in plasma. CSF levels of neurofilament light chain and plasma levels of neurofilament light chain and breast regression protein 39 increased in wild-type biofluids with age, whereas total-Tau remained constant. Neurofilament light chain and breast regression protein 39 were elevated in the plasma and CSF from Huntington's disease mouse models, as compared with wild-type littermates, at presymptomatic stages, whereas total-Tau was only increased at the latest disease stages analysed. Levels of biomarkers that had been measured in the same CSF or plasma samples taken at the latest stages of disease were correlated. The demonstration that breast regression protein 39 constitutes a robust plasma biomarker in Huntington's disease mouse models supports the further investigation of YKL-40 as a CSF biomarker for Huntington's disease mutation carriers. Neurofilament light chain and Tau are considered markers of neuronal damage, and breast regression protein 39 is a marker of inflammation; the similarities and differences in the levels of these proteins between mouse models may provide future insights into their underlying pathology. These data will facilitate the use of fluid biomarkers in the preclinical assessment of therapeutic agents for Huntington's disease, providing readouts with direct relevance to clinical trials.
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Affiliation(s)
- Marie K Bondulich
- Huntington’s Disease Centre, Department of Neurodegenerative Disease and UK Dementia Research Institute at UCL, Queen Square Institute of Neurology, UCL, London WC1N 3BG, UK
| | - Jemima Phillips
- Huntington’s Disease Centre, Department of Neurodegenerative Disease and UK Dementia Research Institute at UCL, Queen Square Institute of Neurology, UCL, London WC1N 3BG, UK
| | - María Cañibano-Pico
- Huntington’s Disease Centre, Department of Neurodegenerative Disease and UK Dementia Research Institute at UCL, Queen Square Institute of Neurology, UCL, London WC1N 3BG, UK
| | - Iulia M Nita
- Huntington’s Disease Centre, Department of Neurodegenerative Disease and UK Dementia Research Institute at UCL, Queen Square Institute of Neurology, UCL, London WC1N 3BG, UK
| | - Lauren M Byrne
- Huntington’s Disease Centre, Department of Neurodegenerative Disease and UK Dementia Research Institute at UCL, Queen Square Institute of Neurology, UCL, London WC1N 3BG, UK
| | - Edward J Wild
- Huntington’s Disease Centre, Department of Neurodegenerative Disease and UK Dementia Research Institute at UCL, Queen Square Institute of Neurology, UCL, London WC1N 3BG, UK
| | - Gillian P Bates
- Huntington’s Disease Centre, Department of Neurodegenerative Disease and UK Dementia Research Institute at UCL, Queen Square Institute of Neurology, UCL, London WC1N 3BG, UK
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7
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Hong EP, Ramos EM, Aziz NA, Massey TH, McAllister B, Lobanov S, Jones L, Holmans P, Kwak S, Orth M, Ciosi M, Lomeikaite V, Monckton DG, Long JD, Lucente D, Wheeler VC, Gillis T, MacDonald ME, Sequeiros J, Gusella JF, Lee JM. Modification of Huntington's disease by short tandem repeats. Brain Commun 2024; 6:fcae016. [PMID: 38449714 PMCID: PMC10917446 DOI: 10.1093/braincomms/fcae016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 12/20/2023] [Accepted: 01/22/2024] [Indexed: 03/08/2024] Open
Abstract
Expansions of glutamine-coding CAG trinucleotide repeats cause a number of neurodegenerative diseases, including Huntington's disease and several of spinocerebellar ataxias. In general, age-at-onset of the polyglutamine diseases is inversely correlated with the size of the respective inherited expanded CAG repeat. Expanded CAG repeats are also somatically unstable in certain tissues, and age-at-onset of Huntington's disease corrected for individual HTT CAG repeat length (i.e. residual age-at-onset), is modified by repeat instability-related DNA maintenance/repair genes as demonstrated by recent genome-wide association studies. Modification of one polyglutamine disease (e.g. Huntington's disease) by the repeat length of another (e.g. ATXN3, CAG expansions in which cause spinocerebellar ataxia 3) has also been hypothesized. Consequently, we determined whether age-at-onset in Huntington's disease is modified by the CAG repeats of other polyglutamine disease genes. We found that the CAG measured repeat sizes of other polyglutamine disease genes that were polymorphic in Huntington's disease participants but did not influence Huntington's disease age-at-onset. Additional analysis focusing specifically on ATXN3 in a larger sample set (n = 1388) confirmed the lack of association between Huntington's disease residual age-at-onset and ATXN3 CAG repeat length. Additionally, neither our Huntington's disease onset modifier genome-wide association studies single nucleotide polymorphism data nor imputed short tandem repeat data supported the involvement of other polyglutamine disease genes in modifying Huntington's disease. By contrast, our genome-wide association studies based on imputed short tandem repeats revealed significant modification signals for other genomic regions. Together, our short tandem repeat genome-wide association studies show that modification of Huntington's disease is associated with short tandem repeats that do not involve other polyglutamine disease-causing genes, refining the landscape of Huntington's disease modification and highlighting the importance of rigorous data analysis, especially in genetic studies testing candidate modifiers.
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Affiliation(s)
- Eun Pyo Hong
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
- Medical and Population Genetics Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA 02142, USA
| | - Eliana Marisa Ramos
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - N Ahmad Aziz
- Population & Clinical Neuroepidemiology, German Center for Neurodegenerative Diseases, 53127 Bonn, Germany
- Department of Neurology, Faculty of Medicine, University of Bonn, Bonn D-53113, Germany
| | - Thomas H Massey
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK
| | - Branduff McAllister
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK
| | - Sergey Lobanov
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK
| | - Lesley Jones
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK
| | - Peter Holmans
- Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK
| | - Seung Kwak
- Molecular System Biology, CHDI Foundation, Princeton, NJ 08540, USA
| | - Michael Orth
- University Hospital of Old Age Psychiatry and Psychotherapy, Bern University, CH-3000 Bern 60, Switzerland
| | - Marc Ciosi
- School of Molecular Biosciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Vilija Lomeikaite
- School of Molecular Biosciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Darren G Monckton
- School of Molecular Biosciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Jeffrey D Long
- Department of Psychiatry, Carver College of Medicine and Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA 52242, USA
| | - Diane Lucente
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Vanessa C Wheeler
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - Tammy Gillis
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Marcy E MacDonald
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
- Medical and Population Genetics Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA 02142, USA
| | - Jorge Sequeiros
- UnIGENe, IBMC—Institute for Molecular and Cell Biology, i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto 420-135, Portugal
- ICBAS School of Medicine and Biomedical Sciences, University of Porto, Porto 420-135, Portugal
| | - James F Gusella
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Medical and Population Genetics Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA 02142, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Jong-Min Lee
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
- Medical and Population Genetics Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA 02142, USA
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8
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Singh N, Vishwas S, Kaur A, Kaur H, Kakoty V, Khursheed R, Chaitanya MVNL, Babu MR, Awasthi A, Corrie L, Harish V, Yanadaiah P, Gupta S, Sayed AA, El-Sayed A, Ali I, Kensara OA, Ghaboura N, Gupta G, Dou AM, Algahtani M, El-Kott AF, Dua K, Singh SK, Abdel-Daim MM. Harnessing role of sesamol and its nanoformulations against neurodegenerative diseases. Biomed Pharmacother 2023; 167:115512. [PMID: 37725878 DOI: 10.1016/j.biopha.2023.115512] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 09/07/2023] [Accepted: 09/12/2023] [Indexed: 09/21/2023] Open
Abstract
Sesamol is a lignan of sesame seeds and a natural phenolic molecule that has emerged as a useful medical agent. Sesamol is a non-toxic phytoconstituent, which exerts certain valuable effects in the management of cancer, diabetes, cardiovascular diseases, neurodegenerative diseases (NDs), etc. Sesamol is known to depict its neuroprotective role by various mechanisms, such as metabolic regulators, action on oxidative stress, neuroinflammation, etc. However, its poor oral bioavailability, rapid excretion (as conjugates), and susceptibility to gastric irritation/toxicity (particularly in rats' forestomach) may restrict its effectiveness. To overcome the associated limitations, novel drug delivery system-based formulations of sesamol are emerging and being researched extensively. These can conjugate with sesamol and enhance the bioavailability and solubility of free sesamol, along with delivery at the target site. In this review, we have summarized various research works highlighting the role of sesamol on various NDs, including Alzheimer's disease, Huntington's disease, Amyotrophic lateral sclerosis, and Parkinson's disease. Moreover, the formulation strategies and neuroprotective role of sesamol-based nano-formulations have also been discussed.
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Affiliation(s)
- Navneet Singh
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India
| | - Sukriti Vishwas
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India
| | - Amandeep Kaur
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India
| | - Harmanpreet Kaur
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India
| | - Violina Kakoty
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India
| | - Rubiya Khursheed
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India
| | - M V N L Chaitanya
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India
| | | | - Ankit Awasthi
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India; Department of pharmaceutics, ISF college of Pharmacy, Moga, Punjab 142001, India
| | - Leander Corrie
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India
| | - Vancha Harish
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India
| | - Palakurthi Yanadaiah
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India
| | - Saurabh Gupta
- Chameli Devi Institute of Pharmacy, Department of pharmacology, Khandwa Road, Village Umrikheda, Near Toll booth, Indore, Madhya Pradesh 452020, India
| | - Amany A Sayed
- Zoology Department, Faculty of Science, Cairo University, Giza 12613, Egypt
| | - Amr El-Sayed
- Department of Animal Infectious Diseases, Faculty of Veterinary medicine, Cairo University, Egypt
| | - Iftikhar Ali
- Department of Biochemistry and Cell Biology, State University of New York at Stonybrook, New York, USA
| | - Osama A Kensara
- Department of Clinical Nutrition, Faculty of Applied Medical Sciences, Umm Al-Qura University, P.O. Box 7067, Makkah 21955, Saudi Arabia
| | - Nehmat Ghaboura
- Department of Pharmacy Practice, Pharmacy Program, Batterjee Medical College, P. O. Box 6231, Jeddah 21442, Saudi Arabia
| | - Gaurav Gupta
- Center for Global Health Research, Saveetha Medical College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, India; School of Pharmacy, Graphic Era Hill University, Dehradun 248007, India; School of Pharmacy, Suresh Gyan Vihar University, Mahal Road, Jagatpura 302017, Jaipur, India
| | - Ali M Dou
- Division of blood bank, Department of medical laboratories, Riyadh security forces hospital, Ministry of interior, Riyadh, Saudi Arabia
| | - Mohammad Algahtani
- Department of Laboratory & Blood Bank, Security Forces Hospital, Mecca, Saudi Arabia
| | - Attalla F El-Kott
- Department of Biology, College of Science, King Khalid University, Abha, Saudi Arabia; Department of Zoology, College of Science, Damanhour University, Egypt
| | - Kamal Dua
- Discipline of Pharmacy, Graduate School of Health, University of Technology Sydney, Ultimo, NSW 2007, Australia; Faculty of Health, Australian Research Centre in Complementary and Integrative Medicine, University of Technology Sydney, Ultimo, NSW 2007, Australia; Uttaranchal Institute of Pharmaceutical Sciences, Uttaranchal University, Dehradun, India
| | - Sachin Kumar Singh
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India; Faculty of Health, Australian Research Centre in Complementary and Integrative Medicine, University of Technology Sydney, Ultimo, NSW 2007, Australia.
| | - Mohamed M Abdel-Daim
- Department of Pharmaceutical Sciences, Pharmacy Program, Batterjee Medical College, P.O. Box 6231, Jeddah 21442, Saudi Arabia; Pharmacology Department, Faculty of Veterinary Medicine, Suez Canal University, Ismailia 41522, Egypt.
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9
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Wilkes FA, Jakabek D, Walterfang M, Velakoulis D, Poudel GR, Stout JC, Chua P, Egan GF, Looi JCL, Georgiou-Karistianis N. The shape of things to come. Mapping spatiotemporal progression of striatal morphology in Huntington disease: The IMAGE-HD study. Psychiatry Res Neuroimaging 2023; 335:111717. [PMID: 37751638 DOI: 10.1016/j.pscychresns.2023.111717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 09/08/2023] [Accepted: 09/12/2023] [Indexed: 09/28/2023]
Abstract
Mapping the spatiotemporal progression of neuroanatomical change in Huntington's Disease (HD) is fundamental to the development of bio-measures for prognostication. Statistical shape analysis to measure the striatum has been performed in HD, however there have been a limited number of longitudinal studies. To address these limitations, we utilised the Spherical Harmonic Point Distribution Method (SPHARM-PDM) to generate point distribution models of the striatum in individuals, and used linear mixed models to test for localised shape change over time in pre-manifest HD (pre-HD), symp-HD (symp-HD) and control individuals. Longitudinal MRI scans from the IMAGE-HD study were used (baseline, 18 and 30 months). We found significant differences in the shape of the striatum between groups. Significant group-by-time interaction was observed for the putamen bilaterally, but not for caudate. A differential rate of shape change between groups over time was observed, with more significant deflation in the symp-HD group in comparison with the pre-HD and control groups. CAG repeats were correlated with bilateral striatal shape in pre-HD and symp-HD. Robust statistical analysis of the correlates of striatal shape change in HD has confirmed the suitability of striatal morphology as a potential biomarker correlated with CAG-repeat length, and potentially, an endophenotype.
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Affiliation(s)
- Fiona A Wilkes
- Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, Australian National University Medical School, Canberra Hospital, Canberra, Australia.
| | | | - Mark Walterfang
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne Neuropsychiatry Centre, University of Melbourne and Northwestern Mental Health, Melbourne, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Dennis Velakoulis
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne Neuropsychiatry Centre, University of Melbourne and Northwestern Mental Health, Melbourne, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Govinda R Poudel
- Mary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - Julie C Stout
- School of Psychological Sciences and the Turner Institute of Brain and Mental Health, Monash University, Melbourne, Australia
| | - Phyllis Chua
- Department of Psychiatry, School of Clinical Sciences, Monash University, Monash Medical Centre, Melbourne, Australia
| | - Gary F Egan
- School of Psychological Sciences and the Turner Institute of Brain and Mental Health, Monash University, Melbourne, Australia
| | - Jeffrey C L Looi
- Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, Australian National University Medical School, Canberra Hospital, Canberra, Australia; Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne Neuropsychiatry Centre, University of Melbourne and Northwestern Mental Health, Melbourne, Australia
| | - Nellie Georgiou-Karistianis
- School of Psychological Sciences and the Turner Institute of Brain and Mental Health, Monash University, Melbourne, Australia
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10
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Pradhan SS, R SS, Kanikaram SP, V M DD, Pargaonkar A, Dandamudi RB, Sivaramakrishnan V. Metabolic deregulation associated with aging modulates protein aggregation in the yeast model of Huntington's disease. J Biomol Struct Dyn 2023:1-18. [PMID: 37732342 DOI: 10.1080/07391102.2023.2257322] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 09/05/2023] [Indexed: 09/22/2023]
Abstract
Huntington's disease is associated with increased CAG repeat resulting in an expanded polyglutamine tract in the protein Huntingtin (HTT) leading to its aggregation resulting in neurodegeneration. Previous studies have shown that N-terminal HTT with 46Q aggregated in the stationary phase but not the logarithmic phase in the yeast model of HD. We carried out a metabolomic analysis of logarithmic and stationary phase yeast model of HD expressing different polyQ lengths attached to N-terminal HTT tagged with enhanced green fluorescent protein (EGFP). The results show significant changes in the metabolic profile and deregulated pathways in stationary phase cells compared to logarithmic phase cells. Comparison of metabolic pathways obtained from logarithmic phase 46Q versus 25Q with those obtained for presymptomatic HD patients from our previous study and drosophila model of HD showed considerable overlap. The arginine biosynthesis pathway emerged as one of the key pathways that is common in stationary phase yeast compared to logarithmic phase and HD patients. Treatment of yeast with arginine led to a significant decrease, while transfer to arginine drop-out media led to a significant increase in the size of protein aggregates in both logarithmic and stationary phase yeast model of HD. Knockout of arginine transporters in the endoplasmic reticulum and vacuole led to a significant decrease in mutant HTT aggregation. Overall our results highlight arginine as a critical metabolite that modulates the aggregation of mutant HTT and disease progression in HD.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Sai Sanwid Pradhan
- Disease Biology Lab, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Anantapur, Andhra Pradesh, India
| | - Sai Swaroop R
- Disease Biology Lab, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Anantapur, Andhra Pradesh, India
| | - Sai Phalguna Kanikaram
- Disease Biology Lab, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Anantapur, Andhra Pradesh, India
| | - Datta Darshan V M
- Disease Biology Lab, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Anantapur, Andhra Pradesh, India
| | - Ashish Pargaonkar
- Application Division, Agilent Technologies Ltd., Bengaluru, Karnataka, India
| | | | - Venketesh Sivaramakrishnan
- Disease Biology Lab, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Anantapur, Andhra Pradesh, India
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11
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Jiang A, Handley RR, Lehnert K, Snell RG. From Pathogenesis to Therapeutics: A Review of 150 Years of Huntington's Disease Research. Int J Mol Sci 2023; 24:13021. [PMID: 37629202 PMCID: PMC10455900 DOI: 10.3390/ijms241613021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/15/2023] [Accepted: 08/18/2023] [Indexed: 08/27/2023] Open
Abstract
Huntington's disease (HD) is a debilitating neurodegenerative genetic disorder caused by an expanded polyglutamine-coding (CAG) trinucleotide repeat in the huntingtin (HTT) gene. HD behaves as a highly penetrant dominant disorder likely acting through a toxic gain of function by the mutant huntingtin protein. Widespread cellular degeneration of the medium spiny neurons of the caudate nucleus and putamen are responsible for the onset of symptomology that encompasses motor, cognitive, and behavioural abnormalities. Over the past 150 years of HD research since George Huntington published his description, a plethora of pathogenic mechanisms have been proposed with key themes including excitotoxicity, dopaminergic imbalance, mitochondrial dysfunction, metabolic defects, disruption of proteostasis, transcriptional dysregulation, and neuroinflammation. Despite the identification and characterisation of the causative gene and mutation and significant advances in our understanding of the cellular pathology in recent years, a disease-modifying intervention has not yet been clinically approved. This review includes an overview of Huntington's disease, from its genetic aetiology to clinical presentation and its pathogenic manifestation. An updated view of molecular mechanisms and the latest therapeutic developments will also be discussed.
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Affiliation(s)
- Andrew Jiang
- Applied Translational Genetics Group, Centre for Brain Research, School of Biological Sciences, The University of Auckland, Auckland 1010, New Zealand; (R.R.H.); (K.L.); (R.G.S.)
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12
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Ouwerkerk J, Feleus S, van der Zwaan KF, Li Y, Roos M, van Roon-Mom WMC, de Bot ST, Wolstencroft KJ, Mina E. Machine learning in Huntington's disease: exploring the Enroll-HD dataset for prognosis and driving capability prediction. Orphanet J Rare Dis 2023; 18:218. [PMID: 37501188 PMCID: PMC10375780 DOI: 10.1186/s13023-023-02785-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 06/18/2023] [Indexed: 07/29/2023] Open
Abstract
BACKGROUND In biomedicine, machine learning (ML) has proven beneficial for the prognosis and diagnosis of different diseases, including cancer and neurodegenerative disorders. For rare diseases, however, the requirement for large datasets often prevents this approach. Huntington's disease (HD) is a rare neurodegenerative disorder caused by a CAG repeat expansion in the coding region of the huntingtin gene. The world's largest observational study for HD, Enroll-HD, describes over 21,000 participants. As such, Enroll-HD is amenable to ML methods. In this study, we pre-processed and imputed Enroll-HD with ML methods to maximise the inclusion of participants and variables. With this dataset we developed models to improve the prediction of the age at onset (AAO) and compared it to the well-established Langbehn formula. In addition, we used recurrent neural networks (RNNs) to demonstrate the utility of ML methods for longitudinal datasets, assessing driving capabilities by learning from previous participant assessments. RESULTS Simple pre-processing imputed around 42% of missing values in Enroll-HD. Also, 167 variables were retained as a result of imputing with ML. We found that multiple ML models were able to outperform the Langbehn formula. The best ML model (light gradient boosting machine) improved the prognosis of AAO compared to the Langbehn formula by 9.2%, based on root mean squared error in the test set. In addition, our ML model provides more accurate prognosis for a wider CAG repeat range compared to the Langbehn formula. Driving capability was predicted with an accuracy of 85.2%. The resulting pre-processing workflow and code to train the ML models are available to be used for related HD predictions at: https://github.com/JasperO98/hdml/tree/main . CONCLUSIONS Our pre-processing workflow made it possible to resolve the missing values and include most participants and variables in Enroll-HD. We show the added value of a ML approach, which improved AAO predictions and allowed for the development of an advisory model that can assist clinicians and participants in estimating future driving capability.
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Affiliation(s)
- Jasper Ouwerkerk
- Department of Pathology and Clinical Bioinformatics, Erasmus Medical Center (EMC), Wytemaweg, 3015 CN, Rotterdam, The Netherlands
| | - Stephanie Feleus
- Department of Neurology, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands
- Department of Clinical Epidemiology, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Kasper F van der Zwaan
- Department of Neurology, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Yunlei Li
- Department of Pathology and Clinical Bioinformatics, Erasmus Medical Center (EMC), Wytemaweg, 3015 CN, Rotterdam, The Netherlands
| | - Marco Roos
- Department of Human Genetics, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Willeke M C van Roon-Mom
- Department of Human Genetics, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Susanne T de Bot
- Department of Neurology, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Katherine J Wolstencroft
- Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands
| | - Eleni Mina
- Department of Human Genetics, Leiden University Medical Center (LUMC), PO Box 9600, 2300 RC, Leiden, The Netherlands.
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13
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Ciurea AV, Mohan AG, Covache-Busuioc RA, Costin HP, Glavan LA, Corlatescu AD, Saceleanu VM. Unraveling Molecular and Genetic Insights into Neurodegenerative Diseases: Advances in Understanding Alzheimer's, Parkinson's, and Huntington's Diseases and Amyotrophic Lateral Sclerosis. Int J Mol Sci 2023; 24:10809. [PMID: 37445986 DOI: 10.3390/ijms241310809] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 06/26/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023] Open
Abstract
Neurodegenerative diseases are, according to recent studies, one of the main causes of disability and death worldwide. Interest in molecular genetics has started to experience exponential growth thanks to numerous advancements in technology, shifts in the understanding of the disease as a phenomenon, and the change in the perspective regarding gene editing and the advantages of this action. The aim of this paper is to analyze the newest approaches in genetics and molecular sciences regarding four of the most important neurodegenerative disorders: Alzheimer's disease, Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis. We intend through this review to focus on the newest treatment, diagnosis, and predictions regarding this large group of diseases, in order to obtain a more accurate analysis and to identify the emerging signs that could lead to a better outcome in order to increase both the quality and the life span of the patient. Moreover, this review could provide evidence of future possible novel therapies that target the specific genes and that could be useful to be taken into consideration when the classical approaches fail to shed light.
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Affiliation(s)
- Alexandru Vlad Ciurea
- Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Neurosurgery Department, Sanador Clinical Hospital, 010991 Bucharest, Romania
| | - Aurel George Mohan
- Department of Neurosurgery, Bihor County Emergency Clinical Hospital, 410167 Oradea, Romania
- Department of Neurosurgery, Faculty of Medicine, Oradea University, 410610 Oradea, Romania
| | | | - Horia-Petre Costin
- Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Luca-Andrei Glavan
- Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Antonio-Daniel Corlatescu
- Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Vicentiu Mircea Saceleanu
- Neurosurgery Department, Sibiu County Emergency Hospital, 550245 Sibiu, Romania
- Neurosurgery Department, "Lucian Blaga" University of Medicine, 550024 Sibiu, Romania
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14
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Jeyakumar N, Hilmer SN, Teixeira-Pinto A, Loy CT. Frailty and Associated Environmental Factors Only Have Small Effects on Age of Onset in Huntington's Disease. J Huntingtons Dis 2023; 12:355-361. [PMID: 38007671 DOI: 10.3233/jhd-230572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2023]
Abstract
BACKGROUND Over one third of age of onset variation in Huntington's disease is unexplained by CAG repeat length. In Alzheimer's disease, frailty partly modulates the relationship between neuropathology and dementia. OBJECTIVE We investigated whether a multi-domain frailty index, reflecting non-genetic factors in Huntington's disease, similarly modulates the relationship between CAG repeat length and age of onset. METHODS We created a frailty index assessing comorbidities, substance abuse, polypharmacy, and education. We applied multiple linear regression models to 2,741 subjects with manifest Huntington's disease from the Enroll-HD cohort study, including 729 subjects with late-onset (post-60 years) disease, using frailty index or constituent item scores and CAG repeat length as independent variables. We used actual and "residual" ages of onset (difference between actual and CAG-based predicted onset) as dependent variables, the latter offsetting the increased time available to accumulate comorbidities in older subjects. RESULTS Higher frailty index scores were associated with significantly lower residual ages of onset in the late-onset subgroup (p = 0.03), though the effect was small (R2 = 0.27 with frailty as a predictor vs. 0.26 without). Number of comorbidities was also associated with significantly lower residual ages of onset in the late-onset subgroup (p = 0.04). Drug abuse and smoking were associated with significantly earlier ages of onset in the whole cohort (p < 0.01, p = 0.02) and late-onset subgroup (p < 0.01, p = 0.03). CONCLUSIONS The impact of non-genetic factors on age of onset, assessed using a frailty index or separately, in Huntington's disease is limited.
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Affiliation(s)
| | - Sarah N Hilmer
- The Kolling Institute, The University of Sydney, Sydney, Australia
| | | | - Clement T Loy
- Macquarie Medical School, Macquarie University, Sydney, Australia
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15
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Koval I, Dighiero-Brecht T, Tobin AJ, Tabrizi SJ, Scahill RI, Tezenas du Montcel S, Durrleman S, Durr A. Forecasting individual progression trajectories in Huntington disease enables more powered clinical trials. Sci Rep 2022; 12:18928. [PMID: 36344508 PMCID: PMC9640581 DOI: 10.1038/s41598-022-18848-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 08/22/2022] [Indexed: 11/09/2022] Open
Abstract
Variability in neurodegenerative disease progression poses great challenges for the evaluation of potential treatments. Identifying the persons who will experience significant progression in the short term is key for the implementation of trials with smaller sample sizes. We apply here disease course mapping to forecast biomarker progression for individual carriers of the pathological CAG repeat expansions responsible for Huntington disease. We used data from two longitudinal studies (TRACK-HD and TRACK-ON) to synchronize temporal progression of 15 clinical and imaging biomarkers from 290 participants with Huntington disease. We used then the resulting HD COURSE MAP to forecast clinical endpoints from the baseline data of 11,510 participants from ENROLL-HD, an external validation cohort. We used such forecasts to select participants at risk for progression and compute the power of trials for such an enriched population. HD COURSE MAP forecasts biomarkers 5 years after the baseline measures with a maximum mean absolute error of 10 points for the total motor score and 2.15 for the total functional capacity. This allowed reducing sample sizes in trial up to 50% including participants with a higher risk for progression ensuring a more homogeneous group of participants.
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Affiliation(s)
- Igor Koval
- Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, Sorbonne Université, 75013, Paris, France
| | - Thomas Dighiero-Brecht
- Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, Sorbonne Université, 75013, Paris, France
| | - Allan J Tobin
- Biological Adaptation and Ageing, Sorbonne Université, Paris, France
- Brain Research Institute, University of California Los Angeles, Los Angeles, CA, USA
| | - Sarah J Tabrizi
- UCL Queen Square Institute of Neurology, University College London, Queen Square, London, UK
| | - Rachael I Scahill
- UCL Queen Square Institute of Neurology, University College London, Queen Square, London, UK
| | - Sophie Tezenas du Montcel
- Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, Sorbonne Université, 75013, Paris, France
| | - Stanley Durrleman
- Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, Sorbonne Université, 75013, Paris, France.
| | - Alexandra Durr
- Department of Neurology, DMU Neurosciences, Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, 75013, Paris, France.
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16
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Leukocyte Telomere Length as Potential Biomarker of HD Progression: A Follow-Up Study. Int J Mol Sci 2022; 23:ijms232113449. [DOI: 10.3390/ijms232113449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 10/28/2022] [Accepted: 10/29/2022] [Indexed: 11/06/2022] Open
Abstract
The identification of biomarkers for neurodegenerative disorders such as Huntington’s disease (HD) is crucial for monitoring disease progression and therapeutic trial outcomes, especially in the pre-manifest disease stage (pre-HD). In a previous study, we observed that leukocyte telomere length (LTL) was strongly correlated with the estimated time to clinical onset in pre-HD subjects. To validate this hypothesis, we designed a follow-up study in which we analyzed LTL in 45 pre-HD stage subjects at baseline (T0) and then again after clinical onset at follow-up (T1); the follow-up interval was about 3 years, and the CAG range was 39–51 repeats; 90 peripheral blood mononuclear cell samples (PBMCs) were obtained from the Enroll-HD biorepository. In pre-HD subjects at T0, LTL was significantly reduced by 22% compared to the controls and by 14% from T0 at T1. No relationship was observed between the LTL and CAG numbers in subjects carrying different CAG repeats at T0 and at T1, suggesting that LTL reduction occurs independently of CAG number in pre-HD subjects. ROC curve analysis was used to test the validity of LTL as a potential biomarker of HD progression and showed that LTL measurement is extremely accurate in discriminating pre-HD subjects from the controls and even pre-HD from manifest HD, thus yielding a robust prognostic value in pre-HD subjects.
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17
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Singh S, Sharma N, Sachdeva M, Behl T, Zahoor I, Fuloria NK, Sekar M, Fuloria S, Subramaniyan V, Alsubayiel AM, Dailah HG, Naved T, Bhatia S, Al-Harrasi A, Aleya L. Focusing the pivotal role of nanotechnology in Huntington's disease: an insight into the recent advancements. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:73809-73827. [PMID: 36100788 DOI: 10.1007/s11356-022-22830-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 08/26/2022] [Indexed: 06/15/2023]
Abstract
Neurodegeneration is the loss of neuronal capacity and structure over time which causes neurodegenerative disorders like Alzheimer, amyotrophic lateral sclerosis, Parkinson, and Huntington's disease (HD). This review is primarily concerned with HD, which was fully described by George Huntington in 1872. In developed countries, HD has become another common single-gene neurological disorder. Because of its autosomal dominant inheritance, the sickness affects both individuals and their families. Huntington disease has been recognized as a disorder that affects the complete body and brain in which the mutant huntingtin polyglutamine (polyQ) sequence is extensively increased and gets correlated to CAG trinucleotide which codes for glutamine (Q). These proteins have characteristics that produce apoptosis and dysfunction. HD is a lethal condition which needs an immediate diagnosis and treatment, and therefore, nanoparticle has come into sight out as opportunistic strategies for treatment of HD. Nanostructures have great potential to cross the blood brain barrier and also prevent breakdown of active molecule and reduces the drug toxicity. This review explains the distinguishing symptoms, genetics, and stages during the development of Huntington's disease, and also provides an overview of HD with an emphasis on its epidemiology, pathogenesis, and management. This review focuses on the latest studies on nanotechnology-related technologies, i.e., magnetic nanoparticle, solid lipid nanoparticle, and polymeric nanoparticle for Huntington's disease treatment. The pioneering patents and in-progress clinical trials related to Huntington's disease has also been summarized in this review.
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Affiliation(s)
- Sukhbir Singh
- Department of Pharmaceutics, MM College of Pharmacy, Maharishi Markandeshwar (Deemed to be University), Mullana-Ambala, Haryana, 133207, India
| | - Neelam Sharma
- Department of Pharmaceutics, MM College of Pharmacy, Maharishi Markandeshwar (Deemed to be University), Mullana-Ambala, Haryana, 133207, India.
| | - Monika Sachdeva
- Fatimah College of Health Sciences, Al Ain, United Arab Emirates
| | - Tapan Behl
- School of Health Sciences, University of Petroleum and Energy Studies, Bidholi, 248007, Dehradun, Uttarakhand, India.
| | - Ishrat Zahoor
- Chitkara College of Pharmacy, Chitkara University, Rajpura, Punjab, India
| | - Neeraj Kumar Fuloria
- Faculty of Pharmacy and Centre of Excellence for Biomaterials Engineering, AIMST University, Bedong, Kedah, Malaysia
| | - Mahendran Sekar
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy and Health Sciences, Universiti Kuala Lumpur Royal College of Medicine Perak, Ipoh, Malaysia
| | - Shivkanya Fuloria
- Faculty of Pharmacy and Centre of Excellence for Biomaterials Engineering, AIMST University, Bedong, Kedah, Malaysia
| | | | - Amal M Alsubayiel
- Department of Pharmaceutics, College of Pharmacy, Qassim University, Buraydah, Kingdom of Saudi Arabia
| | - Hamed Ghaleb Dailah
- Research and Scientific Studies Unit, College of Nursing, Jazan University, Jazan, Saudi Arabia
| | - Tanveer Naved
- Amity Institute of Pharmacy, Amity University, Noida, India
| | - Saurabh Bhatia
- School of Health Sciences, University of Petroleum and Energy Studies, Bidholi, 248007, Dehradun, Uttarakhand, India
- Natural and Medical Sciences Research Centre, University of Nizwa, Nizwa, Oman
| | - Ahmed Al-Harrasi
- Natural and Medical Sciences Research Centre, University of Nizwa, Nizwa, Oman
| | - Lotfi Aleya
- Chrono-Environment Laboratory, UMR CNRS 6249, Bourgogne Franche-Comté University, Besançon, France
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18
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Pradhan SS, Thota SM, Rajaratnam S, Bhagavatham SKS, Pulukool SK, Rathnakumar S, Phalguna KS, Dandamudi RB, Pargaonkar A, Joseph P, Joshy EV, Sivaramakrishnan V. Integrated multi-omics analysis of Huntington disease identifies pathways that modulate protein aggregation. Dis Model Mech 2022; 15:dmm049492. [PMID: 36052548 PMCID: PMC10655815 DOI: 10.1242/dmm.049492] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 08/15/2022] [Indexed: 11/20/2022] Open
Abstract
Huntington disease (HD) is a neurodegenerative disease associated with polyglutamine expansion in the protein huntingtin (HTT). Although the length of the polyglutamine repeat correlates with age at disease onset and severity, psychological, cognitive and behavioral complications point to the existence of disease modifiers. Mitochondrial dysfunction and metabolic deregulation are both associated with the HD but, despite multi-omics characterization of patients and model systems, their mechanisms have remained elusive. Systems analysis of multi-omics data and its validation by using a yeast model could help to elucidate pathways that modulate protein aggregation. Metabolomics analysis of HD patients and of a yeast model of HD was, therefore, carried out. Our analysis showed a considerable overlap of deregulated metabolic pathways. Further, the multi-omics analysis showed deregulated pathways common in human, mice and yeast model systems, and those that are unique to them. The deregulated pathways include metabolic pathways of various amino acids, glutathione metabolism, longevity, autophagy and mitophagy. The addition of certain metabolites as well as gene knockouts targeting the deregulated metabolic and autophagy pathways in the yeast model system showed that these pathways do modulate protein aggregation. Taken together, our results showed that the modulation of deregulated pathways influences protein aggregation in HD, and has implications for progression and prognosis. This article has an associated First Person interview with the first author of the paper.
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Affiliation(s)
- Sai S. Pradhan
- Disease Biology Lab, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Anantapur, Andhra Pradesh, India515134
| | - Sai M. Thota
- Disease Biology Lab, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Anantapur, Andhra Pradesh, India515134
| | - Saiswaroop Rajaratnam
- Disease Biology Lab, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Anantapur, Andhra Pradesh, India515134
| | - Sai K. S. Bhagavatham
- Disease Biology Lab, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Anantapur, Andhra Pradesh, India515134
| | - Sujith K. Pulukool
- Disease Biology Lab, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Anantapur, Andhra Pradesh, India515134
| | - Sriram Rathnakumar
- Disease Biology Lab, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Anantapur, Andhra Pradesh, India515134
| | - Kanikaram S. Phalguna
- Disease Biology Lab, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Anantapur, Andhra Pradesh, India515134
| | - Rajesh B. Dandamudi
- Department of Chemistry, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Anantapur, Andhra Pradesh 515 134, India
| | - Ashish Pargaonkar
- Application Division, Agilent Technologies Ltd., Bengaluru 560048, India
| | - Prasanth Joseph
- Application Division, Agilent Technologies Ltd., Bengaluru 560048, India
| | - E. V. Joshy
- Department of Neurology, Sri Sathya Sai Institute of Higher Medical Sciences, Whitefield, Bengaluru, Karnataka 560066, India
| | - Venketesh Sivaramakrishnan
- Disease Biology Lab, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Anantapur, Andhra Pradesh, India515134
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19
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de Oliveira Furlam T, Roque IG, Machado da Silva EW, Vianna PP, Costa Valadão PA, Guatimosim C, Teixeira AL, de Miranda AS. Inflammasome activation and assembly in Huntington's disease. Mol Immunol 2022; 151:134-142. [PMID: 36126501 DOI: 10.1016/j.molimm.2022.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 08/24/2022] [Accepted: 09/04/2022] [Indexed: 11/16/2022]
Abstract
Huntington's disease (HD) is a rare neurodegenerative disease characterized by motor, cognitive, and psychiatric symptoms. Inflammasomes are multiprotein complexes capable of sensing pathogen-associated and damage-associated molecular patterns, triggering innate immune pathways. Activation of inflammasomes results in a pro-inflammatory cascade involving, among other molecules, caspases and interleukins. NLRP3 (nucleotide-binding domain, leucine-rich-repeat containing family, pyrin domain-containing 3) is the most studied inflammasome complex, and its activation results in caspase-1 mediated cleavage of the pro-interleukins IL-1β and IL-18 into their mature forms, also inducing a gasdermin D mediated form of pro-inflammatory cell death, i.e. pyroptosis. Accumulating evidence has implicated NLRP3 inflammasome complex in neurodegenerative diseases. The evidence in HD is still scant and mostly derived from pre-clinical studies. This review aims to present the available evidence on NLRP3 inflammasome activation in HD and to discuss whether targeting this innate immune system complex might be a promising therapeutic strategy to alleviate its symptoms.
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Affiliation(s)
| | | | | | - Pedro Parenti Vianna
- School of Medicine, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | | | - Cristina Guatimosim
- Department of Morphology - Biological Science Institute, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Antônio Lúcio Teixeira
- Neuropsychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA; Faculdade Santa Casa BH, Belo Horizonte, MG, Brazil
| | - Aline Silva de Miranda
- Department of Morphology - Biological Science Institute, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil.
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20
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da Silva IDS, Apolinário TA, de Andrade Agostinho L, Paiva CLA. Investigation of the Influence of TBP CAG/CAA Repeats in Conjunction with HTT CAG Repeats on Huntington's Disease Age at Onset in a Brazilian Sample. J Mol Neurosci 2022; 72:1116-1124. [PMID: 35275350 DOI: 10.1007/s12031-021-01938-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 10/26/2021] [Indexed: 11/26/2022]
Abstract
Huntington's disease (HD) is a genetic neurodegenerative progressive and fatal disease characterized by motor disorder, cognitive impairment, and behavioral problems, caused by expanded repeats of CAG trinucleotides in the HTT gene. The aim of this study was to investigate the influence of TBP gene CAG/CAA repeats in conjunction with HTT gene CAG repeats, on the age at HD onset in Brazilian individuals. Individuals diagnosed as molecularly negative for HD presented 29-39 TBP CAG/CAA. Their most frequent allele had 36 repeats. In individuals diagnosed as molecularly positive for HD, a range of 25-40 TBP CAG/ CAA was found. The most frequent TBP allele had 38 repeats. We also conducted TBP direct Sanger sequencing of some samples which demonstrated other four TBP structures different from the basic TBP structure and others reported in the literature. The HTT expanded CAG and TBP CAG/CAA repeat sizes jointly explained 66% of the age at onset (AO) in our HD patients. The strongest variable in the model associated with AO was the number of expanded HTT CAG repeats. The difference between the association of HD AO with HTT expanded CAG together with TBP CAG/CAA and the association of HD AO with HTT expanded CAG was 0.001 (∆R2). Therefore, we found a weak association (0.1%) of TBP CAG/CAA repeats on HD AO, if any.
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Affiliation(s)
- Iane Dos Santos da Silva
- Programa de Pós-Graduação em Biologia Molecular e Celular (PPGBMC), Universidade Federal do Estado do Rio de Janeiro (UNIRIO), Rio de Janeiro, RJ, Brazil
| | | | - Luciana de Andrade Agostinho
- Programa de Pós-Graduação em Neurologia, (UNIRIO), Rio de Janeiro, RJ, Brazil.
- Centro Universitário UNIFAMINAS, Muriae, Minas Gerais, Brazil.
| | - Carmen Lucia Antão Paiva
- Programa de Pós-Graduação em Biologia Molecular e Celular (PPGBMC), Universidade Federal do Estado do Rio de Janeiro (UNIRIO), Rio de Janeiro, RJ, Brazil
- Programa de Pós-Graduação em Neurologia, (UNIRIO), Rio de Janeiro, RJ, Brazil
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21
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Stevanovski I, Chintalaphani SR, Gamaarachchi H, Ferguson JM, Pineda SS, Scriba CK, Tchan M, Fung V, Ng K, Cortese A, Houlden H, Dobson-Stone C, Fitzpatrick L, Halliday G, Ravenscroft G, Davis MR, Laing NG, Fellner A, Kennerson M, Kumar KR, Deveson IW. Comprehensive genetic diagnosis of tandem repeat expansion disorders with programmable targeted nanopore sequencing. SCIENCE ADVANCES 2022; 8:eabm5386. [PMID: 35245110 PMCID: PMC8896783 DOI: 10.1126/sciadv.abm5386] [Citation(s) in RCA: 69] [Impact Index Per Article: 34.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 01/11/2022] [Indexed: 05/25/2023]
Abstract
More than 50 neurological and neuromuscular diseases are caused by short tandem repeat (STR) expansions, with 37 different genes implicated to date. We describe the use of programmable targeted long-read sequencing with Oxford Nanopore's ReadUntil function for parallel genotyping of all known neuropathogenic STRs in a single assay. Our approach enables accurate, haplotype-resolved assembly and DNA methylation profiling of STR sites, from a list of predetermined candidates. This correctly diagnoses all individuals in a small cohort (n = 37) including patients with various neurogenetic diseases (n = 25). Targeted long-read sequencing solves large and complex STR expansions that confound established molecular tests and short-read sequencing and identifies noncanonical STR motif conformations and internal sequence interruptions. We observe a diversity of STR alleles of known and unknown pathogenicity, suggesting that long-read sequencing will redefine the genetic landscape of repeat disorders. Last, we show how the inclusion of pharmacogenomic genes as secondary ReadUntil targets can further inform patient care.
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Affiliation(s)
- Igor Stevanovski
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Sanjog R. Chintalaphani
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia
- School of Medicine, University of New South Wales, Sydney, NSW, Australia
- St Vincent’s Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Hasindu Gamaarachchi
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia
- School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia
| | - James M. Ferguson
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Sandy S. Pineda
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia
- The University of Sydney, Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, Camperdown, NSW, Australia
| | - Carolin K. Scriba
- Harry Perkins Institute of Medical Research, University of Western Australia, Nedlands, WA, Australia
- Diagnostic Genomics, PathWest Laboratory Medicine WA, Nedlands, WA, Australia
| | - Michel Tchan
- Westmead Hospital, Westmead, NSW, Australia and Sydney Medical School, The University of Sydney, NSW, Australia
| | - Victor Fung
- Westmead Hospital, Westmead, NSW, Australia and Sydney Medical School, The University of Sydney, NSW, Australia
| | - Karl Ng
- Department of Neurology, Royal North Shore Hospital and The University of Sydney, Sydney, NSW, Australia
| | - Andrea Cortese
- Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
- The National Hospital for Neurology and Neurosurgery, London, UK
| | - Henry Houlden
- Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
- The National Hospital for Neurology and Neurosurgery, London, UK
| | - Carol Dobson-Stone
- The University of Sydney, Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, Camperdown, NSW, Australia
| | - Lauren Fitzpatrick
- The University of Sydney, Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, Camperdown, NSW, Australia
| | - Glenda Halliday
- The University of Sydney, Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, Camperdown, NSW, Australia
| | - Gianina Ravenscroft
- Harry Perkins Institute of Medical Research, University of Western Australia, Nedlands, WA, Australia
| | - Mark R. Davis
- Harry Perkins Institute of Medical Research, University of Western Australia, Nedlands, WA, Australia
| | - Nigel G. Laing
- Harry Perkins Institute of Medical Research, University of Western Australia, Nedlands, WA, Australia
- Diagnostic Genomics, PathWest Laboratory Medicine WA, Nedlands, WA, Australia
| | - Avi Fellner
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia
- Raphael Recanati Genetics Institute, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel
- The Neurology Department, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel
| | - Marina Kennerson
- Northcott Neuroscience Laboratory, ANZAC Research Institute, Sydney, NSW, Australia
- Faculty of Health and Medicine, University of Sydney, Camperdown, NSW, Australia
- Molecular Medicine Laboratory, Concord Hospital, Concord, NSW, Australia
| | - Kishore R. Kumar
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia
- Molecular Medicine Laboratory, Concord Hospital, Concord, NSW, Australia
- Neurology Department, Central Clinical School, Concord Repatriation General Hospital, University of Sydney, Concord, NSW, Australia
| | - Ira W. Deveson
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent’s Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
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22
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Casale AM, Liguori F, Ansaloni F, Cappucci U, Finaurini S, Spirito G, Persichetti F, Sanges R, Gustincich S, Piacentini L. Transposable element activation promotes neurodegeneration in a Drosophila model of Huntington's disease. iScience 2022; 25:103702. [PMID: 35036881 PMCID: PMC8752904 DOI: 10.1016/j.isci.2021.103702] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 10/22/2021] [Accepted: 12/23/2021] [Indexed: 12/17/2022] Open
Abstract
Huntington's disease (HD) is an autosomal dominant disorder with progressive motor dysfunction and cognitive decline. The disease is caused by a CAG repeat expansion in the IT15 gene, which elongates a polyglutamine stretch of the HD protein, Huntingtin. No therapeutic treatments are available, and new pharmacological targets are needed. Retrotransposons are transposable elements (TEs) that represent 40% and 30% of the human and Drosophila genomes and replicate through an RNA intermediate. Mounting evidence suggests that mammalian TEs are active during neurogenesis and may be involved in diseases of the nervous system. Here we show that TE expression and mobilization are increased in a Drosophila melanogaster HD model. By inhibiting TE mobilization with Reverse Transcriptase inhibitors, polyQ-dependent eye neurodegeneration and genome instability in larval brains are rescued and fly lifespan is increased. These results suggest that TE activation may be involved in polyQ-induced neurotoxicity and a potential pharmacological target.
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Affiliation(s)
- Assunta Maria Casale
- Department of Biology and Biotechnology “C. Darwin”, Sapienza University of Rome, Rome, Italy
| | - Francesco Liguori
- Department of Biology and Biotechnology “C. Darwin”, Sapienza University of Rome, Rome, Italy
| | - Federico Ansaloni
- Area of Neuroscience, International School for Advanced Studies (SISSA), Trieste, Italy
| | - Ugo Cappucci
- Department of Biology and Biotechnology “C. Darwin”, Sapienza University of Rome, Rome, Italy
| | - Sara Finaurini
- Department of Health Sciences, Università del Piemonte Orientale, Novara, Italy
| | - Giovanni Spirito
- Area of Neuroscience, International School for Advanced Studies (SISSA), Trieste, Italy
| | | | - Remo Sanges
- Area of Neuroscience, International School for Advanced Studies (SISSA), Trieste, Italy
- Central RNA Laboratory, Istituto Italiano di Tecnologia, Genova, Italy
| | | | - Lucia Piacentini
- Department of Biology and Biotechnology “C. Darwin”, Sapienza University of Rome, Rome, Italy
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23
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Dietrich P, Alli S, Mulligan MK, Cox R, Ashbrook DG, Williams RW, Dragatsis I. Identification of cyclin D1 as a major modulator of 3-nitropropionic acid-induced striatal neurodegeneration. Neurobiol Dis 2022; 162:105581. [PMID: 34871739 PMCID: PMC8717869 DOI: 10.1016/j.nbd.2021.105581] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 11/14/2021] [Accepted: 12/02/2021] [Indexed: 01/03/2023] Open
Abstract
Mitochondria dysfunction occurs in the aging brain as well as in several neurodegenerative disorders and predisposes neuronal cells to enhanced sensitivity to neurotoxins. 3-nitropropionic acid (3-NP) is a naturally occurring plant and fungal neurotoxin that causes neurodegeneration predominantly in the striatum by irreversibly inhibiting the tricarboxylic acid respiratory chain enzyme, succinate dehydrogenase (SDH), the main constituent of the mitochondria respiratory chain complex II. Significantly, although 3-NP-induced inhibition of SDH occurs in all brain regions, neurodegeneration occurs primarily and almost exclusively in the striatum for reasons still not understood. In rodents, 3-NP-induced striatal neurodegeneration depends on the strain background suggesting that genetic differences among genotypes modulate toxicant variability and mechanisms that underlie 3-NP-induced neuronal cell death. Using the large BXD family of recombinant inbred (RI) strains we demonstrate that variants in Ccnd1 - the gene encoding cyclin D1 - of the DBA/2 J parent underlie the resistance to 3-NP-induced striatal neurodegeneration. In contrast, the Ccnd1 variant inherited from the widely used C57BL/6 J parental strain confers sensitivity. Given that cellular stress triggers induction of cyclin D1 expression followed by cell-cycle re-entry and consequent neuronal cell death, we sought to determine if the C57BL/6 J and DBA/2 J Ccnd1 variants are differentially modulated in response to 3-NP. We confirm that 3-NP induces cyclin D1 expression in striatal neuronal cells of C57BL/6 J, but this response is blunted in the DBA/2 J. We further show that striatal-specific alternative processing of a highly conserved 3'UTR negative regulatory region of Ccnd1 co-segregates with the C57BL/6 J parental Ccnd1 allele in BXD strains and that its differential processing accounts for sensitivity or resistance to 3-NP. Our results indicate that naturally occurring Ccnd1 variants may play a role in the variability observed in neurodegenerative disorders involving mitochondria complex II dysfunction and point to cyclin D1 as a possible therapeutic target.
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Affiliation(s)
- Paula Dietrich
- Department of Physiology, The University of Tennessee, Health Science Center, Memphis, TN 38163, USA,Corresponding authors: ,
| | - Shanta Alli
- Department of Physiology, The University of Tennessee, Health Science Center, Memphis, TN 38163, USA
| | - Megan K. Mulligan
- Department of Genetics, Genomics and Informatics, University of Tennessee, Health Science Center, Memphis, TN 38163, USA
| | - Rachel Cox
- Department of Physiology, The University of Tennessee, Health Science Center, Memphis, TN 38163, USA,The University of Tennessee, Knoxville, TN 37996, USA
| | - David G. Ashbrook
- Department of Genetics, Genomics and Informatics, University of Tennessee, Health Science Center, Memphis, TN 38163, USA
| | - Robert W. Williams
- Department of Genetics, Genomics and Informatics, University of Tennessee, Health Science Center, Memphis, TN 38163, USA
| | - Ioannis Dragatsis
- Department of Physiology, The University of Tennessee, Health Science Center, Memphis, TN 38163, USA,Corresponding authors: ,
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24
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Love CJ, Masson BA, Gubert C, Hannan AJ. The microbiota-gut-brain axis in Huntington's disease. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2022; 167:141-184. [DOI: 10.1016/bs.irn.2022.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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25
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Komatsu H. Innovative Therapeutic Approaches for Huntington's Disease: From Nucleic Acids to GPCR-Targeting Small Molecules. Front Cell Neurosci 2021; 15:785703. [PMID: 34899193 PMCID: PMC8662694 DOI: 10.3389/fncel.2021.785703] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 11/08/2021] [Indexed: 12/02/2022] Open
Abstract
Huntington’s disease (HD) is a fatal neurodegenerative disorder due to an extraordinarily expanded CAG repeat in the huntingtin gene that confers a gain-of-toxic function in the mutant protein. There is currently no effective cure that attenuates progression and severity of the disease. Since HD is an inherited monogenic disorder, lowering the mutant huntingtin (mHTT) represents a promising therapeutic strategy. Huntingtin lowering strategies mostly focus on nucleic acid approaches, such as small interfering RNAs (siRNAs) and antisense oligonucleotides (ASOs). While these approaches seem to be effective, the drug delivery to the brain poses a great challenge and requires direct injection into the central nervous system (CNS) that results in substantial burden for patients. This review discusses the topics on Huntingtin lowering strategies with clinical trials in patients already underway and introduce an innovative approach that has the potential to deter the disease progression through the inhibition of GPR52, a striatal-enriched class A orphan G protein-coupled receptor (GPCR) that represents a promising therapeutic target for psychiatric disorders. Chemically simple, potent, and selective GPR52 antagonists have been discovered through high-throughput screening and subsequent structure-activity relationship studies. These small molecule antagonists not only diminish both soluble and aggregated mHTT in the striatum, but also ameliorate HD-like defects in HD mice. This therapeutic approach offers great promise as a novel strategy for HD therapy, while nucleic acid delivery still faces considerable challenges.
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Affiliation(s)
- Hidetoshi Komatsu
- Business Strategy, Kyowa Pharmaceutical Industry Co., Ltd., Osaka, Japan.,Department of Biological Science, Graduate School of Science, Nagoya University, Nagoya, Japan
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26
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Raposo M, Bettencourt C, Melo ARV, Ferreira AF, Alonso I, Silva P, Vasconcelos J, Kay T, Saraiva-Pereira ML, Costa MD, Vilasboas-Campos D, Bettencourt BF, Bruges-Armas J, Houlden H, Heutink P, Jardim LB, Sequeiros J, Maciel P, Lima M. Novel Machado-Joseph disease-modifying genes and pathways identified by whole-exome sequencing. Neurobiol Dis 2021; 162:105578. [PMID: 34871736 DOI: 10.1016/j.nbd.2021.105578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 11/08/2021] [Accepted: 12/02/2021] [Indexed: 11/17/2022] Open
Abstract
Machado-Joseph disease (MJD/SCA3) is a neurodegenerative polyglutamine disorder exhibiting a wide spectrum of phenotypes. The abnormal size of the (CAG)n at ATXN3 explains ~55% of the age at onset variance, suggesting the involvement of other factors, namely genetic modifiers, whose identification remains limited. Our aim was to find novel genetic modifiers, analyse their epistatic effects and identify disease-modifying pathways contributing to MJD variable expressivity. We performed whole-exome sequencing in a discovery sample of four age at onset concordant and four discordant first-degree relative pairs of Azorean patients, to identify candidate variants which genotypes differed for each discordant pair but were shared in each concordant pair. Variants identified by this approach were then tested in an independent multi-origin cohort of 282 MJD patients. Whole-exome sequencing identified 233 candidate variants, from which 82 variants in 53 genes were prioritized for downstream analysis. Eighteen disease-modifying pathways were identified; two of the most enriched pathways were relevant for the nervous system, namely the neuregulin signaling and the agrin interactions at neuromuscular junction. Variants at PARD3, NFKB1, CHD5, ACTG1, CFAP57, DLGAP2, ITGB1, DIDO1 and CERS4 modulate age at onset in MJD, with those identified in CFAP57, ACTG1 and DIDO1 showing consistent effects across cohorts of different geographical origins. Network analyses of the nine novel MJD modifiers highlighted several important molecular interactions, including genes/proteins previously related with MJD pathogenesis, namely between ACTG1/APOE and VCP/ITGB1. We describe novel pathways, modifiers, and their interaction partners, providing a broad molecular portrait of age at onset modulation to be further exploited as new disease-modifying targets for MJD and related diseases.
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Affiliation(s)
- Mafalda Raposo
- Instituto de Biologia Molecular e Celular (IBMC), Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto, Portugal; Faculdade de Ciências e Tecnologia, Universidade dos Açores, Ponta Delgada, Portugal.
| | - Conceição Bettencourt
- Department of Neurodegenerative Disease and Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK.
| | - Ana Rosa Vieira Melo
- Instituto de Biologia Molecular e Celular (IBMC), Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto, Portugal; Faculdade de Ciências e Tecnologia, Universidade dos Açores, Ponta Delgada, Portugal
| | - Ana F Ferreira
- Instituto de Biologia Molecular e Celular (IBMC), Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto, Portugal; Faculdade de Ciências e Tecnologia, Universidade dos Açores, Ponta Delgada, Portugal.
| | - Isabel Alonso
- Instituto de Biologia Molecular e Celular (IBMC), Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto, Portugal
| | - Paulo Silva
- Instituto de Biologia Molecular e Celular (IBMC), Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto, Portugal.
| | - João Vasconcelos
- Departamento de Neurologia, Hospital do Divino Espírito Santo, Ponta Delgada, Portugal
| | - Teresa Kay
- Departamento de Genética Clínica, Hospital D. Estefânia, Lisboa, Portugal
| | - Maria Luiza Saraiva-Pereira
- Departamento de Bioquímica, Universidade Federal do Rio Grande do Sul, Brazil; Serviço de Genética Médica/Centro de Pesquisa Clínica e Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
| | - Marta D Costa
- Instituto de Investigação em Ciências da Vida e Saúde (ICVS), Escola de Medicina, Universidade do Minho, Braga, Portugal; ICVS/3B's - Laboratório Associado, Braga/Guimarães, Portugal.
| | - Daniela Vilasboas-Campos
- Instituto de Investigação em Ciências da Vida e Saúde (ICVS), Escola de Medicina, Universidade do Minho, Braga, Portugal; ICVS/3B's - Laboratório Associado, Braga/Guimarães, Portugal
| | - Bruno Filipe Bettencourt
- Serviço Especializado de Epidemiologia e Biologia Molecular (SEEBMO), Hospital de Santo Espírito da Ilha Terceira (HSEIT), Angra do Heroísmo, Azores, Portugal
| | - Jácome Bruges-Armas
- Serviço Especializado de Epidemiologia e Biologia Molecular (SEEBMO), Hospital de Santo Espírito da Ilha Terceira (HSEIT), Angra do Heroísmo, Azores, Portugal; CHRC - Comprehensive Health Research Centre, Faculdade de Ciências Médicas & CEDOC - Chronic Diseases Research Center, Universidade Nova de Lisboa, Lisboa, Portugal
| | - Henry Houlden
- Department of Molecular Neuroscience, Institute of Neurology, University College London and Neurogenetics Unit, National Hospital for Neurology and Neurosurgery, University College London Hospitals, London, United Kingdom, London.
| | - Peter Heutink
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
| | - Laura Bannach Jardim
- Departamento de Medicina Interna, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Serviço de Genética Médica/Centro de Pesquisa Clínica e Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
| | - Jorge Sequeiros
- Instituto de Biologia Molecular e Celular (IBMC), Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto, Portugal.
| | - Patrícia Maciel
- Instituto de Investigação em Ciências da Vida e Saúde (ICVS), Escola de Medicina, Universidade do Minho, Braga, Portugal; ICVS/3B's - Laboratório Associado, Braga/Guimarães, Portugal.
| | - Manuela Lima
- Instituto de Biologia Molecular e Celular (IBMC), Instituto de Investigação e Inovação em Saúde (i3S), Universidade do Porto, Porto, Portugal; Faculdade de Ciências e Tecnologia, Universidade dos Açores, Ponta Delgada, Portugal.
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27
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C57BL/6 Background Attenuates mHTT Toxicity in the Striatum of YAC128 Mice. Int J Mol Sci 2021; 22:ijms222312664. [PMID: 34884469 PMCID: PMC8657915 DOI: 10.3390/ijms222312664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 11/19/2021] [Accepted: 11/20/2021] [Indexed: 12/05/2022] Open
Abstract
Mouse models are frequently used to study Huntington’s disease (HD). The onset and severity of neuronal and behavioral pathologies vary greatly between HD mouse models, which results from different huntingtin expression levels and different CAG repeat length. HD pathology appears to depend also on the strain background of mouse models. Thus, behavioral deficits of HD mice are more severe in the FVB than in the C57BL/6 background. Alterations in medium spiny neuron (MSN) morphology and function have been well documented in young YAC128 mice in the FVB background. Here, we tested the relevance of strain background for mutant huntingtin (mHTT) toxicity on the cellular level by investigating HD pathologies in YAC128 mice in the C57BL/6 background (YAC128/BL6). Morphology, spine density, synapse function and membrane properties were not or only subtly altered in MSNs of 12-month-old YAC128/BL6 mice. Despite the mild cellular phenotype, YAC128/BL6 mice showed deficits in motor performance. More pronounced alterations in MSN function were found in the HdhQ150 mouse model in the C57BL/6 background (HdhQ150/BL6). Consistent with the differences in HD pathology, the number of inclusion bodies was considerably lower in YAC128/BL6 mice than HdhQ150/BL6 mice. This study highlights the relevance of strain background for mHTT toxicity in HD mouse models.
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28
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Lant JT, Kiri R, Duennwald ML, O'Donoghue P. Formation and persistence of polyglutamine aggregates in mistranslating cells. Nucleic Acids Res 2021; 49:11883-11899. [PMID: 34718744 PMCID: PMC8599886 DOI: 10.1093/nar/gkab898] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 09/03/2021] [Accepted: 09/20/2021] [Indexed: 12/17/2022] Open
Abstract
In neurodegenerative diseases, including pathologies with well-known causative alleles, genetic factors that modify severity or age of onset are not entirely understood. We recently documented the unexpected prevalence of transfer RNA (tRNA) mutants in the human population, including variants that cause amino acid mis-incorporation. We hypothesized that a mistranslating tRNA will exacerbate toxicity and modify the molecular pathology of Huntington's disease-causing alleles. We characterized a tRNAPro mutant that mistranslates proline codons with alanine, and tRNASer mutants, including a tRNASerAGA G35A variant with a phenylalanine anticodon (tRNASerAAA) found in ∼2% of the population. The tRNAPro mutant caused synthetic toxicity with a deleterious huntingtin poly-glutamine (polyQ) allele in neuronal cells. The tRNASerAAA variant showed synthetic toxicity with proteasome inhibition but did not enhance toxicity of the huntingtin allele. Cells mistranslating phenylalanine or proline codons with serine had significantly reduced rates of protein synthesis. Mistranslating cells were slow but effective in forming insoluble polyQ aggregates, defective in protein and aggregate degradation, and resistant to the neuroprotective integrated stress response inhibitor (ISRIB). Our findings identify mistranslating tRNA variants as genetic factors that slow protein aggregation kinetics, inhibit aggregate clearance, and increase drug resistance in cellular models of neurodegenerative disease.
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Affiliation(s)
- Jeremy T Lant
- Department of Biochemistry, The University of Western Ontario, London, Ontario N6A 5C1, Canada
| | - Rashmi Kiri
- Department of Biochemistry, The University of Western Ontario, London, Ontario N6A 5C1, Canada
| | - Martin L Duennwald
- Department of Anatomy & Cell Biology, The University of Western Ontario, London, Ontario N6A 5C1, Canada
| | - Patrick O'Donoghue
- Department of Biochemistry, The University of Western Ontario, London, Ontario N6A 5C1, Canada.,Department of Chemistry, The University of Western Ontario, London, Ontario N6A 5C1, Canada
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Gusella JF, Lee JM, MacDonald ME. Huntington's disease: nearly four decades of human molecular genetics. Hum Mol Genet 2021; 30:R254-R263. [PMID: 34169318 PMCID: PMC8490011 DOI: 10.1093/hmg/ddab170] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 06/16/2021] [Accepted: 06/21/2021] [Indexed: 11/13/2022] Open
Abstract
Huntington's disease (HD) is a devastating neurogenetic disorder whose familial nature and progressive course were first described in the 19th century but for which no disease-modifying treatment is yet available. Through the active participation of HD families, this disorder has acted as a flagship for the application of human molecular genetic strategies to identify disease genes, understand pathogenesis and identify rational targets for development of therapies.
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Affiliation(s)
- James F Gusella
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Medical and Population Genetics Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA 02142, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Jong-Min Lee
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Medical and Population Genetics Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA 02142, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - Marcy E MacDonald
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Medical and Population Genetics Program, The Broad Institute of M.I.T. and Harvard, Cambridge, MA 02142, USA
- Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
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30
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Huntington's Chorea-a Rare Neurodegenerative Autosomal Dominant Disease: Insight into Molecular Genetics, Prognosis and Diagnosis. Appl Biochem Biotechnol 2021; 193:2634-2648. [PMID: 34235640 DOI: 10.1007/s12010-021-03523-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 01/27/2021] [Indexed: 12/24/2022]
Abstract
Huntington's disease is a neurodegenerative autosomal disease results due to expansion of polymorphic CAG repeats in the huntingtin gene. Phosphorylation of the translation initiation factor 4E-BP results in the alteration of the translation control leading to unwanted protein synthesis and neuronal function. Consequences of mutant huntington (mhtt) gene transcription are not well known. Variability of age of onset is an important factor of Huntington's disease separating adult and juvenile types. The factors which are taken into account are-genetic modifiers, maternal protection i.e excessive paternal transmission, superior ageing genes and environmental threshold. A major focus has been given to the molecular pathogenesis which includes-motor disturbance, cognitive disturbance and neuropsychiatric disturbance. The diagnosis part has also been taken care of. This includes genetic testing and both primary and secondary symptoms. The present review also focuses on the genetics and pathology of Huntington's disease.
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Hong EP, Chao MJ, Massey T, McAllister B, Lobanov S, Jones L, Holmans P, Kwak S, Orth M, Ciosi M, Monckton DG, Long JD, Lucente D, Wheeler VC, MacDonald ME, Gusella JF, Lee JM. Association Analysis of Chromosome X to Identify Genetic Modifiers of Huntington's Disease. J Huntingtons Dis 2021; 10:367-375. [PMID: 34180418 DOI: 10.3233/jhd-210485] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Huntington's disease (HD) is caused by an expanded (>35) CAG trinucleotide repeat in huntingtin (HTT). Age-at-onset of motor symptoms is inversely correlated with the size of the inherited CAG repeat, which expands further in brain regions due to somatic repeat instability. Our recent genetic investigation focusing on autosomal SNPs revealed that age-at-onset is also influenced by genetic variation at many loci, the majority of which encode genes involved in DNA maintenance/repair processes and repeat instability. OBJECTIVE We performed a complementary association analysis to determine whether variants in the X chromosome modify HD. METHODS We imputed SNPs on chromosome X for ∼9,000 HD subjects of European ancestry and performed an X chromosome-wide association study (XWAS) to test for association with age-at-onset corrected for inherited CAG repeat length. RESULTS In a mixed effects model XWAS analysis of all subjects (males and females), assuming random X-inactivation in females, no genome-wide significant onset modification signal was found. However, suggestive significant association signals were detected at Xq12 (top SNP, rs59098970; p-value, 1.4E-6), near moesin (MSN), in a region devoid of DNA maintenance genes. Additional suggestive signals not involving DNA repair genes were observed in male- and female-only analyses at other locations. CONCLUSION Although not genome-wide significant, potentially due to small effect size compared to the power of the current study, our data leave open the possibility of modification of HD by a non-DNA repair process. Our XWAS results are publicly available at the updated GEM EURO 9K website hosted at https://www.hdinhd.org/ for browsing, pathway analysis, and data download.
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Affiliation(s)
- Eun Pyo Hong
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Department of Neurology, Harvard Medical School, Boston, MA, USA.,Medical and Population Genetics Program, the Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Michael J Chao
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Thomas Massey
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Branduff McAllister
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Sergey Lobanov
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Lesley Jones
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Peter Holmans
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | | | - Michael Orth
- Department of Old Age Psychiatry and Psychotherapy, University of Bern, Switzerland
| | - Marc Ciosi
- Institute of Molecular, Cell and Systems Biology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Darren G Monckton
- Institute of Molecular, Cell and Systems Biology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Jeffrey D Long
- Department of Psychiatry, Carver College of Medicine and Department of Biostatistics, College of Public Health, and Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
| | - Diane Lucente
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Vanessa C Wheeler
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Department of Neurology, Harvard Medical School, Boston, MA, USA.,Medical and Population Genetics Program, the Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Marcy E MacDonald
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Department of Neurology, Harvard Medical School, Boston, MA, USA.,Medical and Population Genetics Program, the Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - James F Gusella
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Medical and Population Genetics Program, the Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Jong-Min Lee
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Department of Neurology, Harvard Medical School, Boston, MA, USA.,Medical and Population Genetics Program, the Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
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32
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Lacerda RHW, Furtado PGC, Vieira AR. Multiple Structural Microform Defects Suggest Role of Modifier Genes. J Craniofac Surg 2021; 32:e358-e360. [PMID: 33027179 DOI: 10.1097/scs.0000000000007163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
ABSTRACT One of the biggest challenges in clinical genetics is establishing associations between specific germline mutations and the resulting spectrum of phenotypes. The careful characterization of clinical presentations continues to be a tool for establishing these genotype phenotype correlations. The authors intend, by presenting a case study, proposing that the concomitant occurrence of a combinations of mild structural anomalies in the same individual may be due to changes in genes that can be linked by related pathways. A new born with cleft lip and palate was referred at the Cleft Lip and Palate Center. The anamnese was performed and collected data of familiar history, parental consanguinity, and information about pregnancy period. The careful characterization of clinical presentations and the genetic pathways was studied. It is possible that there is no single mutation that can be clearly identified as the etiology of the combination of the defects displayed in the present case.
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Affiliation(s)
| | - Paulo Germano Cavalcanti Furtado
- Center for Treatment of Cleft Lip and Palate, University Hospital Lauro Wanderley, Universidade Federal da Paraíba, João Pessoa, PB, Brazil
| | - Alexandre Rezende Vieira
- Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA.,Graduate Program in Dentistry, Universidade Federal da Paraíba, João Pessoa, PB, Brazil
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Chintalaphani SR, Pineda SS, Deveson IW, Kumar KR. An update on the neurological short tandem repeat expansion disorders and the emergence of long-read sequencing diagnostics. Acta Neuropathol Commun 2021; 9:98. [PMID: 34034831 PMCID: PMC8145836 DOI: 10.1186/s40478-021-01201-x] [Citation(s) in RCA: 80] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 05/17/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Short tandem repeat (STR) expansion disorders are an important cause of human neurological disease. They have an established role in more than 40 different phenotypes including the myotonic dystrophies, Fragile X syndrome, Huntington's disease, the hereditary cerebellar ataxias, amyotrophic lateral sclerosis and frontotemporal dementia. MAIN BODY STR expansions are difficult to detect and may explain unsolved diseases, as highlighted by recent findings including: the discovery of a biallelic intronic 'AAGGG' repeat in RFC1 as the cause of cerebellar ataxia, neuropathy, and vestibular areflexia syndrome (CANVAS); and the finding of 'CGG' repeat expansions in NOTCH2NLC as the cause of neuronal intranuclear inclusion disease and a range of clinical phenotypes. However, established laboratory techniques for diagnosis of repeat expansions (repeat-primed PCR and Southern blot) are cumbersome, low-throughput and poorly suited to parallel analysis of multiple gene regions. While next generation sequencing (NGS) has been increasingly used, established short-read NGS platforms (e.g., Illumina) are unable to genotype large and/or complex repeat expansions. Long-read sequencing platforms recently developed by Oxford Nanopore Technology and Pacific Biosciences promise to overcome these limitations to deliver enhanced diagnosis of repeat expansion disorders in a rapid and cost-effective fashion. CONCLUSION We anticipate that long-read sequencing will rapidly transform the detection of short tandem repeat expansion disorders for both clinical diagnosis and gene discovery.
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Affiliation(s)
- Sanjog R. Chintalaphani
- School of Medicine, University of New South Wales, Sydney, 2052 Australia
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW 2010 Australia
| | - Sandy S. Pineda
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW 2010 Australia
- Brain and Mind Centre, University of Sydney, Camperdown, NSW 2050 Australia
| | - Ira W. Deveson
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW 2010 Australia
- Faculty of Medicine, St Vincent’s Clinical School, University of New South Wales, Sydney, NSW 2010 Australia
| | - Kishore R. Kumar
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW 2010 Australia
- Molecular Medicine Laboratory and Neurology Department, Central Clinical School, Concord Repatriation General Hospital, University of Sydney, Concord, NSW 2137 Australia
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34
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Hyeon JW, Kim AH, Yano H. Epigenetic regulation in Huntington's disease. Neurochem Int 2021; 148:105074. [PMID: 34038804 DOI: 10.1016/j.neuint.2021.105074] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 04/23/2021] [Accepted: 05/17/2021] [Indexed: 12/25/2022]
Abstract
Huntington's disease (HD) is a devastating and fatal monogenic neurodegenerative disorder characterized by progressive loss of selective neurons in the brain and is caused by an abnormal expansion of CAG trinucleotide repeats in a coding exon of the huntingtin (HTT) gene. Progressive gene expression changes that begin at premanifest stages are a prominent feature of HD and are thought to contribute to disease progression. Increasing evidence suggests the critical involvement of epigenetic mechanisms in abnormal transcription in HD. Genome-wide alterations of a number of epigenetic modifications, including DNA methylation and multiple histone modifications, are associated with HD, suggesting that mutant HTT causes complex epigenetic abnormalities and chromatin structural changes, which may represent an underlying pathogenic mechanism. The causal relationship of specific epigenetic changes to early transcriptional alterations and to disease pathogenesis require further investigation. In this article, we review recent studies on epigenetic regulation in HD with a focus on DNA and histone modifications. We also discuss the contribution of epigenetic modifications to HD pathogenesis as well as potential mechanisms linking mutant HTT and epigenetic alterations. Finally, we discuss the therapeutic potential of epigenetic-based treatments.
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Affiliation(s)
- Jae Wook Hyeon
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Albert H Kim
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA; Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA; Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63110, USA; Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO, 63110, USA; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Hiroko Yano
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA; Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA; Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63110, USA; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, 63110, USA.
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Abstract
ABSTRACT Huntington disease is a rare genetic disorder characterized by motor, cognitive, and psychiatric impairments. Although the typical patient has a positive family history and initially presents with chorea between ages 30 and 50 years, some patients do not have a typical presentation. Healthcare providers should know when to refer patients to neurology for testing for Huntington disease. The earlier the diagnosis is made, the earlier the patient and patient's family can receive education about the expected disease trajectory. A multidisciplinary approach is required to mitigate symptoms as the disease progresses. Although no cure exists, ongoing research is targeting genotypic abnormalities in hopes of finding a permanent treatment for Huntington disease.
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Affiliation(s)
- Jennifer de la Cruz
- Jennifer de la Cruz is director of clinical education and a clinical assistant professor in the PA program at Mercer University in Atlanta, Ga. Joseph Hwang was a student in the PA program at Mercer University when this article was written, and now practices at Urgent Care of Oconee in Watkinsville, Ga. The authors have disclosed no potential conflicts of interest, financial or otherwise
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36
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Raybould R, Sims R. Searching the Dark Genome for Alzheimer's Disease Risk Variants. Brain Sci 2021; 11:332. [PMID: 33800766 PMCID: PMC7999247 DOI: 10.3390/brainsci11030332] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 03/02/2021] [Accepted: 03/04/2021] [Indexed: 12/14/2022] Open
Abstract
Sporadic Alzheimer's disease (AD) is a complex genetic disease, and the leading cause of dementia worldwide. Over the past 3 decades, extensive pioneering research has discovered more than 70 common and rare genetic risk variants. These discoveries have contributed massively to our understanding of the pathogenesis of AD but approximately half of the heritability for AD remains unaccounted for. There are regions of the genome that are not assayed by mainstream genotype and sequencing technology. These regions, known as the Dark Genome, often harbour large structural DNA variants that are likely relevant to disease risk. Here, we describe the dark genome and review current technological and bioinformatics advances that will enable researchers to shed light on these hidden regions of the genome. We highlight the potential importance of the hidden genome in complex disease and how these strategies will assist in identifying the missing heritability of AD. Identification of novel protein-coding structural variation that increases risk of AD will open new avenues for translational research and new drug targets that have the potential for clinical benefit to delay or even prevent clinical symptoms of disease.
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Affiliation(s)
- Rachel Raybould
- UK Dementia Research Institute in Cardiff, Haydn Ellis Building, Cardiff University, Wales CF24 4HQ, UK
| | - Rebecca Sims
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Wales CF24 4HQ, UK
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37
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Hong EP, MacDonald ME, Wheeler VC, Jones L, Holmans P, Orth M, Monckton DG, Long JD, Kwak S, Gusella JF, Lee JM. Huntington's Disease Pathogenesis: Two Sequential Components. J Huntingtons Dis 2021; 10:35-51. [PMID: 33579862 PMCID: PMC7990433 DOI: 10.3233/jhd-200427] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Historically, Huntington's disease (HD; OMIM #143100) has played an important role in the enormous advances in human genetics seen over the past four decades. This familial neurodegenerative disorder involves variable onset followed by consistent worsening of characteristic abnormal movements along with cognitive decline and psychiatric disturbances. HD was the first autosomal disease for which the genetic defect was assigned to a position on the human chromosomes using only genetic linkage analysis with common DNA polymorphisms. This discovery set off a multitude of similar studies in other diseases, while the HD gene, later renamed HTT, and its vicinity in chromosome 4p16.3 then acted as a proving ground for development of technologies to clone and sequence genes based upon their genomic location, with the growing momentum of such advances fueling the Human Genome Project. The identification of the HD gene has not yet led to an effective treatment, but continued human genetic analysis of genotype-phenotype relationships in large HD subject populations, first at the HTT locus and subsequently genome-wide, has provided insights into pathogenesis that divide the course of the disease into two sequential, mechanistically distinct components.
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Affiliation(s)
- Eun Pyo Hong
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Department of Neurology, Harvard Medical School, Boston, MA, USA.,Medical and Population Genetics Program, the Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Marcy E MacDonald
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Department of Neurology, Harvard Medical School, Boston, MA, USA.,Medical and Population Genetics Program, the Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
| | - Vanessa C Wheeler
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Lesley Jones
- Medical Research Council (MRC) Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurology, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Peter Holmans
- Medical Research Council (MRC) Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurology, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Michael Orth
- Department of Neurology, University of Ulm, Germany
| | - Darren G Monckton
- Institute of Molecular, Cell and Systems Biology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Jeffrey D Long
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.,Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Seung Kwak
- CHDI Management/CHDI Foundation, Princeton, NJ, USA
| | - James F Gusella
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Medical and Population Genetics Program, the Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Jong-Min Lee
- Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Department of Neurology, Harvard Medical School, Boston, MA, USA.,Medical and Population Genetics Program, the Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA
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38
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Zhao X, Kumari D, Miller CJ, Kim GY, Hayward B, Vitalo AG, Pinto RM, Usdin K. Modifiers of Somatic Repeat Instability in Mouse Models of Friedreich Ataxia and the Fragile X-Related Disorders: Implications for the Mechanism of Somatic Expansion in Huntington's Disease. J Huntingtons Dis 2021; 10:149-163. [PMID: 33579860 PMCID: PMC7990428 DOI: 10.3233/jhd-200423] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Huntington's disease (HD) is one of a large group of human disorders that are caused by expanded DNA repeats. These repeat expansion disorders can have repeat units of different size and sequence that can be located in any part of the gene and, while the pathological consequences of the expansion can differ widely, there is evidence to suggest that the underlying mutational mechanism may be similar. In the case of HD, the expanded repeat unit is a CAG trinucleotide located in exon 1 of the huntingtin (HTT) gene, resulting in an expanded polyglutamine tract in the huntingtin protein. Expansion results in neuronal cell death, particularly in the striatum. Emerging evidence suggests that somatic CAG expansion, specifically expansion occurring in the brain during the lifetime of an individual, contributes to an earlier disease onset and increased severity. In this review we will discuss mouse models of two non-CAG repeat expansion diseases, specifically the Fragile X-related disorders (FXDs) and Friedreich ataxia (FRDA). We will compare and contrast these models with mouse and patient-derived cell models of various other repeat expansion disorders and the relevance of these findings for somatic expansion in HD. We will also describe additional genetic factors and pathways that modify somatic expansion in the FXD mouse model for which no comparable data yet exists in HD mice or humans. These additional factors expand the potential druggable space for diseases like HD where somatic expansion is a significant contributor to disease impact.
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Affiliation(s)
- Xiaonan Zhao
- Laboratory of Cell and Molecular Biology, National Institutes of Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Daman Kumari
- Laboratory of Cell and Molecular Biology, National Institutes of Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Carson J Miller
- Laboratory of Cell and Molecular Biology, National Institutes of Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Geum-Yi Kim
- Laboratory of Cell and Molecular Biology, National Institutes of Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Bruce Hayward
- Laboratory of Cell and Molecular Biology, National Institutes of Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Antonia G Vitalo
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Ricardo Mouro Pinto
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Department of Neurology, Harvard Medical School, Boston, MA, USA.,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Karen Usdin
- Laboratory of Cell and Molecular Biology, National Institutes of Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
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40
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Tabrizi SJ, Flower MD, Ross CA, Wild EJ. Huntington disease: new insights into molecular pathogenesis and therapeutic opportunities. Nat Rev Neurol 2020; 16:529-546. [PMID: 32796930 DOI: 10.1038/s41582-020-0389-4] [Citation(s) in RCA: 237] [Impact Index Per Article: 59.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/29/2020] [Indexed: 12/11/2022]
Abstract
Huntington disease (HD) is a neurodegenerative disease caused by CAG repeat expansion in the huntingtin gene (HTT) and involves a complex web of pathogenic mechanisms. Mutant HTT (mHTT) disrupts transcription, interferes with immune and mitochondrial function, and is aberrantly modified post-translationally. Evidence suggests that the mHTT RNA is toxic, and at the DNA level, somatic CAG repeat expansion in vulnerable cells influences the disease course. Genome-wide association studies have identified DNA repair pathways as modifiers of somatic instability and disease course in HD and other repeat expansion diseases. In animal models of HD, nucleocytoplasmic transport is disrupted and its restoration is neuroprotective. Novel cerebrospinal fluid (CSF) and plasma biomarkers are among the earliest detectable changes in individuals with premanifest HD and have the sensitivity to detect therapeutic benefit. Therapeutically, the first human trial of an HTT-lowering antisense oligonucleotide successfully, and safely, reduced the CSF concentration of mHTT in individuals with HD. A larger trial, powered to detect clinical efficacy, is underway, along with trials of other HTT-lowering approaches. In this Review, we discuss new insights into the molecular pathogenesis of HD and future therapeutic strategies, including the modulation of DNA repair and targeting the DNA mutation itself.
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Affiliation(s)
- Sarah J Tabrizi
- Huntington's Disease Centre, University College London, London, UK. .,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK. .,UK Dementia Research Institute, University College London, London, UK.
| | - Michael D Flower
- Huntington's Disease Centre, University College London, London, UK.,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK.,UK Dementia Research Institute, University College London, London, UK
| | - Christopher A Ross
- Departments of Neurology, Neuroscience and Pharmacology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Edward J Wild
- Huntington's Disease Centre, University College London, London, UK.,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK
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Brás IC, König A, Outeiro TF. Glycation in Huntington's Disease: A Possible Modifier and Target for Intervention. J Huntingtons Dis 2020; 8:245-256. [PMID: 31322580 PMCID: PMC6839463 DOI: 10.3233/jhd-190366] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Glycation is the non-enzymatic reaction between reactive dicarbonyls and amino groups, and gives rise to a variety of different reaction products known as advanced glycation end products (AGEs). Accumulation of AGEs on proteins is inevitable, and is associated with the aging process. Importantly, glycation is highly relevant in diabetic patients that experience periods of hyperglycemia. AGEs also play an important role in neurodegenerative diseases including Alzheimer’s (AD) and Parkinson’s disease (PD). Huntington’s disease (HD) is a hereditary neurodegenerative disease caused by an expansion of a CAG repeat in the huntingtin gene. The resulting expanded polyglutamine stretch in the huntingtin (HTT) protein induces its misfolding and aggregation, leading to neuronal dysfunction and death. HD patients exhibit chorea and psychiatric disturbances, along with abnormalities in glucose and energy homeostasis. Interestingly, an increased prevalence of diabetes mellitus has been reported in HD and in other CAG triplet repeat disorders. However, the mechanisms underlying the connection between glycation and HD progression remain unclear. In this review, we explore the possible connection between glycation and proteostasis imbalances in HD, and posit that it may contribute to disease progression, possibly by accelerating protein aggregation and deposition. Finally, we review therapeutic interventions that might be able to alleviate the negative impact of glycation in HD.
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Affiliation(s)
- Inês Caldeira Brás
- Department of Experimental Neurodegeneration, Center for Biostructural Imaging of Neurodegeneration, University Medical Center Göttingen, Göttingen, Germany
| | - Annekatrin König
- Department of Experimental Neurodegeneration, Center for Biostructural Imaging of Neurodegeneration, University Medical Center Göttingen, Göttingen, Germany
| | - Tiago Fleming Outeiro
- Department of Experimental Neurodegeneration, Center for Biostructural Imaging of Neurodegeneration, University Medical Center Göttingen, Göttingen, Germany.,Max Planck Institute for Experimental Medicine, Göttingen, Germany.,Institute of Neuroscience, The Medical School, Newcastle University, Newcastle upon Tyne, United Kingdom
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Chouksey A, Pandey S. Phenotypic Variability in Huntington's Disease. Ann Indian Acad Neurol 2020; 23:153-154. [PMID: 32189853 PMCID: PMC7061502 DOI: 10.4103/aian.aian_543_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 10/27/2019] [Indexed: 11/06/2022] Open
Affiliation(s)
- Anjali Chouksey
- Department of Neurology, Govind Ballabh Pant Postgraduate Institute of Medical Education and Research, New Delhi, India
| | - Sanjay Pandey
- Department of Neurology, Govind Ballabh Pant Postgraduate Institute of Medical Education and Research, New Delhi, India
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Abstract
PURPOSE OF REVIEW This article provides an overview of the approach to chorea in clinical practice, beginning with a discussion of the phenomenologic features of chorea and how to differentiate it from other movement disorders. The diagnostic approach, clinical features of important acquired and genetic choreas, and therapeutic principles are also discussed. Practical clinical points and caveats are included. RECENT FINDINGS C9orf72 disease is the most common Huntington disease phenocopy, according to studies in the European population. Anti-IgLON5 disease can present with chorea. The role of immunotherapies in Sydenham chorea has increased, and further clinical studies may be useful. Benign hereditary chorea is a syndrome or phenotype due to mutations in several genes, including NKX2-1, ADCY5, GNAO1, and PDE10A. New-generation presynaptic dopamine-depleting agents provide more options for symptomatic treatment of chorea with fewer adverse effects. Deep brain stimulation has been performed in several choreic disorders, but features other than chorea and the neurodegenerative nature should be taken into consideration. Studies on genetic interventions for Huntington disease are ongoing. SUMMARY Clinical features remain crucial in guiding the differential diagnosis and appropriate investigations in chorea. Given the complexity of most choreic disorders, treating only the chorea is not sufficient. A comprehensive and multidisciplinary approach is required.
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Ardan T, Baxa M, Levinská B, Sedláčková M, Nguyen TD, Klíma J, Juhás Š, Juhásová J, Šmatlíková P, Vochozková P, Motlík J, Ellederová Z. Transgenic minipig model of Huntington's disease exhibiting gradually progressing neurodegeneration. Dis Model Mech 2019; 13:dmm.041319. [PMID: 31645369 PMCID: PMC6918760 DOI: 10.1242/dmm.041319] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Accepted: 10/18/2019] [Indexed: 12/26/2022] Open
Abstract
Recently developed therapeutic approaches for the treatment of Huntington's disease (HD) require preclinical testing in large animal models. The minipig is a suitable experimental animal because of its large gyrencephalic brain, body weight of 70-100 kg, long lifespan, and anatomical, physiological and metabolic resemblance to humans. The Libechov transgenic minipig model for HD (TgHD) has proven useful for proof of concept of developing new therapies. However, to evaluate the efficacy of different therapies on disease progression, a broader phenotypic characterization of the TgHD minipig is needed. In this study, we analyzed the brain tissues of TgHD minipigs at the age of 48 and 60-70 months, and compared them to wild-type animals. We were able to demonstrate not only an accumulation of different forms of mutant huntingtin (mHTT) in TgHD brain, but also pathological changes associated with cellular damage caused by mHTT. At 48 months, we detected pathological changes that included the demyelination of brain white matter, loss of function of striatal neurons in the putamen and activation of microglia. At 60-70 months, we found a clear marker of neurodegeneration: significant cell loss detected in the caudate nucleus, putamen and cortex. This was accompanied by clusters of structures accumulating in the neurites of some neurons, a sign of their degeneration that is also seen in Alzheimer's disease, and a significant activation of astrocytes. In summary, our data demonstrate age-dependent neuropathology with later onset of neurodegeneration in TgHD minipigs. Summary: Longitudinal phenotyping of the minipig model for Huntington's disease demonstrates a slow and age-dependent neurodegeneration.
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Affiliation(s)
- Taras Ardan
- Laboratory of Cell Regeneration and Plasticity, Institute of Animal Physiology and Genetics, Czech Academy of Science, 27721 Libechov, Czech Republic
| | - Monika Baxa
- Laboratory of Cell Regeneration and Plasticity, Institute of Animal Physiology and Genetics, Czech Academy of Science, 27721 Libechov, Czech Republic
| | - Božena Levinská
- Laboratory of Cell Regeneration and Plasticity, Institute of Animal Physiology and Genetics, Czech Academy of Science, 27721 Libechov, Czech Republic
| | - Miroslava Sedláčková
- Laboratory of Cell Regeneration and Plasticity, Institute of Animal Physiology and Genetics, Czech Academy of Science, 27721 Libechov, Czech Republic.,Department of Histology and Embryology, Masaryk University in Brno, Faculty of Medicine, 62500 Brno, Czech Republic
| | - The Duong Nguyen
- Laboratory of Cell Regeneration and Plasticity, Institute of Animal Physiology and Genetics, Czech Academy of Science, 27721 Libechov, Czech Republic
| | - Jiří Klíma
- Laboratory of Cell Regeneration and Plasticity, Institute of Animal Physiology and Genetics, Czech Academy of Science, 27721 Libechov, Czech Republic
| | - Štefan Juhás
- Laboratory of Cell Regeneration and Plasticity, Institute of Animal Physiology and Genetics, Czech Academy of Science, 27721 Libechov, Czech Republic
| | - Jana Juhásová
- Laboratory of Cell Regeneration and Plasticity, Institute of Animal Physiology and Genetics, Czech Academy of Science, 27721 Libechov, Czech Republic
| | - Petra Šmatlíková
- Laboratory of Cell Regeneration and Plasticity, Institute of Animal Physiology and Genetics, Czech Academy of Science, 27721 Libechov, Czech Republic
| | - Petra Vochozková
- Laboratory of Cell Regeneration and Plasticity, Institute of Animal Physiology and Genetics, Czech Academy of Science, 27721 Libechov, Czech Republic
| | - Jan Motlík
- Laboratory of Cell Regeneration and Plasticity, Institute of Animal Physiology and Genetics, Czech Academy of Science, 27721 Libechov, Czech Republic
| | - Zdenka Ellederová
- Laboratory of Cell Regeneration and Plasticity, Institute of Animal Physiology and Genetics, Czech Academy of Science, 27721 Libechov, Czech Republic
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45
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Patterns of neurological manifestations in Woodhouse-Sakati Syndrome. Parkinsonism Relat Disord 2019; 69:99-103. [DOI: 10.1016/j.parkreldis.2019.10.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 09/23/2019] [Accepted: 10/07/2019] [Indexed: 11/17/2022]
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Mantuano E, Peconi M, Scarabino D. Can leukocyte telomere shortening be a possible biomarker to track Huntington's disease progression? Neural Regen Res 2019; 14:1709-1710. [PMID: 31169183 PMCID: PMC6585568 DOI: 10.4103/1673-5374.257522] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 03/07/2019] [Indexed: 11/24/2022] Open
Affiliation(s)
- Elide Mantuano
- CNR Institute of Translational Pharmacology, Rome, Italy
| | - Martina Peconi
- CNR Institute of Translational Pharmacology, Rome, Italy
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Carmichael AM, Irish M, Glikmann-Johnston Y, Stout JC. Discrete changes in the frequency and functions of autobiographical reminiscence in Huntington's disease. Memory 2019; 27:1345-1351. [PMID: 31426716 DOI: 10.1080/09658211.2019.1654519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Autobiographical memory is widely posited to serve self, social and directive functions. Recent evidence suggests marked autobiographical memory impairments in Huntington's disease (HD), however, no study to date has determined how the perceived functions of autobiographical reminiscence may be altered in HD. The current study aimed to assess the self-reported frequency and function of autobiographical reminiscence in HD. We assessed autobiographical reminiscence in late premanifest (n = 16) and early stage HD (n = 14), relative to healthy controls (n = 30). Participants completed the Thinking About Life Experiences Scale Revised (TALE-R), which measures three putative functions of autobiographical memory (self, social, directive). People with manifest HD reported talking less frequently about the past compared to controls. In contrast, no group differences were found in terms of thinking about the past. Manifest HD participants further reported using their autobiographical memories for social functions less frequently compared to controls. No other group differences were evident in terms of self or directive functions of autobiographical memory. These self-report findings complement recent reports of autobiographical memory disruption on performance-based tasks in HD. Future studies exploring how changes in autobiographical reminiscence impact a sense of self continuity in HD will be important in this regard.
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Affiliation(s)
- Anna M Carmichael
- Faculty of Medicine, Nursing and Health Sciences, School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University , Clayton , Australia
| | - Muireann Irish
- Brain and Mind Centre, School of Psychology, The University of Sydney , Sydney , Australia.,Australian Research Council Centre of Excellence in Cognition and its Disorders , Sydney , Australia
| | - Yifat Glikmann-Johnston
- Faculty of Medicine, Nursing and Health Sciences, School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University , Clayton , Australia
| | - Julie C Stout
- Faculty of Medicine, Nursing and Health Sciences, School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University , Clayton , Australia
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48
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Bruzelius E, Scarpa J, Zhao Y, Basu S, Faghmous JH, Baum A. Huntington's disease in the United States: Variation by demographic and socioeconomic factors. Mov Disord 2019; 34:858-865. [PMID: 30868663 PMCID: PMC6579693 DOI: 10.1002/mds.27653] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Revised: 02/07/2019] [Accepted: 02/15/2019] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Despite extensive research regarding the etiology of Huntington's disease, relatively little is known about the epidemiology of this rare disorder, particularly in the United States where there are no national-scale estimates of the disease. OBJECTIVES To provide national-scale estimates of Huntington's disease in a U.S. population and to test whether disease rates are increasing, and whether frequency varies by race, ethnicity, or other factors. METHODS Using an insurance database of over 67 million enrollees, we retrospectively identified a cohort of 3,707 individuals diagnosed with Huntington's disease between 2003 and 2016. We estimated annual incidence, annual diagnostic frequency, and tested for trends over time and differences in diagnostic frequency by sociodemographic characteristics. RESULTS During the observation period, the age-adjusted cumulative incidence rate was1.22 per 100,000 persons (95% confidence interval: 1.53, 1.65), and age-adjusted diagnostic frequency was 6.52 per 100,000 persons (95% confidence interval: 5.31, 5.66); both rates remained relatively stable over the 14-year period. We identified several previously unreported differences in Huntington's disease frequency by self-reported sex, income, and race/ethnicity. However, racial/ethnic differences were of lower magnitude than have previously been reported in other country-level studies. CONCLUSIONS In these large-scale estimates of U.S. Huntington's disease epidemiology, we found stable disease frequency rates that varied by several sociodemographic factors. These findings suggest that disease patterns may be more driven by social or environmental factors than has previously been appreciated. Results further demonstrate the potential utility of administrative Big Data in rare disease epidemiology when other data sources are unavailable. © 2019 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Emilie Bruzelius
- Icahn School of Medicine at Mount Sinai
- Mailman School of Public Health, Columbia University
| | | | - Yiyi Zhao
- Icahn School of Medicine at Mount Sinai
- Mailman School of Public Health, Columbia University
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49
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Jiang Y, Berg MD, Genereaux J, Ahmed K, Duennwald ML, Brandl CJ, Lajoie P. Sfp1 links TORC1 and cell growth regulation to the yeast SAGA‐complex component Tra1 in response to polyQ proteotoxicity. Traffic 2019; 20:267-283. [DOI: 10.1111/tra.12637] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 02/08/2019] [Accepted: 02/08/2019] [Indexed: 12/18/2022]
Affiliation(s)
- Yuwei Jiang
- Department of Anatomy and Cell BiologyThe University of Western Ontario London Ontario Canada
| | - Matthew D. Berg
- Department of BiochemistryThe University of Western Ontario London Ontario Canada
| | - Julie Genereaux
- Department of Anatomy and Cell BiologyThe University of Western Ontario London Ontario Canada
- Department of BiochemistryThe University of Western Ontario London Ontario Canada
| | - Khadija Ahmed
- Department of Anatomy and Cell BiologyThe University of Western Ontario London Ontario Canada
| | - Martin L. Duennwald
- Department of Anatomy and Cell BiologyThe University of Western Ontario London Ontario Canada
- Department of Pathology and Laboratory MedicineThe University of Western Ontario London Ontario Canada
| | | | - Patrick Lajoie
- Department of Anatomy and Cell BiologyThe University of Western Ontario London Ontario Canada
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50
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Goold R, Flower M, Moss DH, Medway C, Wood-Kaczmar A, Andre R, Farshim P, Bates GP, Holmans P, Jones L, Tabrizi SJ. FAN1 modifies Huntington's disease progression by stabilizing the expanded HTT CAG repeat. Hum Mol Genet 2019; 28:650-661. [PMID: 30358836 PMCID: PMC6360275 DOI: 10.1093/hmg/ddy375] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 10/15/2018] [Accepted: 10/16/2018] [Indexed: 11/13/2022] Open
Abstract
Huntington's disease (HD) is an inherited neurodegenerative disease caused by an expanded CAG repeat in the huntingtin (HTT) gene. CAG repeat length explains around half of the variation in age at onset (AAO) but genetic variation elsewhere in the genome accounts for a significant proportion of the remainder. Genome-wide association studies have identified a bidirectional signal on chromosome 15, likely underlain by FANCD2- and FANCI-associated nuclease 1 (FAN1), a nuclease involved in DNA interstrand cross link repair. Here we show that increased FAN1 expression is significantly associated with delayed AAO and slower progression of HD, suggesting FAN1 is protective in the context of an expanded HTT CAG repeat. FAN1 overexpression in human cells reduces CAG repeat expansion in exogenously expressed mutant HTT exon 1, and in patient-derived stem cells and differentiated medium spiny neurons, FAN1 knockdown increases CAG repeat expansion. The stabilizing effects are FAN1 concentration and CAG repeat length-dependent. We show that FAN1 binds to the expanded HTT CAG repeat DNA and its nuclease activity is not required for protection against CAG repeat expansion. These data shed new mechanistic insights into how the genetic modifiers of HD act to alter disease progression and show that FAN1 affects somatic expansion of the CAG repeat through a nuclease-independent mechanism. This provides new avenues for therapeutic interventions in HD and potentially other triplet repeat disorders.
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Affiliation(s)
- Robert Goold
- UCL Huntington’s Disease Centre,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London,Queen Square, London WC1N 3BG, UK
| | - Michael Flower
- UCL Huntington’s Disease Centre,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London,Queen Square, London WC1N 3BG, UK
| | - Davina Hensman Moss
- UCL Huntington’s Disease Centre,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London,Queen Square, London WC1N 3BG, UK
| | - Chris Medway
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, CF24 4HQ, UK
| | - Alison Wood-Kaczmar
- UCL Huntington’s Disease Centre,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London,Queen Square, London WC1N 3BG, UK
| | - Ralph Andre
- UCL Huntington’s Disease Centre,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London,Queen Square, London WC1N 3BG, UK
| | - Pamela Farshim
- UCL Huntington’s Disease Centre,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London,Queen Square, London WC1N 3BG, UK
| | - Gill P Bates
- UCL Huntington’s Disease Centre,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London,Queen Square, London WC1N 3BG, UK
- UK Dementia Research Institute, University College London, WC1N 3BG, UK
| | - Peter Holmans
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, CF24 4HQ, UK
| | - Lesley Jones
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, CF24 4HQ, UK
| | - Sarah J Tabrizi
- UCL Huntington’s Disease Centre,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London,Queen Square, London WC1N 3BG, UK
- UK Dementia Research Institute, University College London, WC1N 3BG, UK
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