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Cheng J, Wang Z, Tang M, Zhang W, Li G, Tan S, Mu C, Hu M, Zhang D, Jia X, Wen Y, Guo H, Xu D, Liu L, Li J, Xia K, Li F, Duan R, Xu Z, Yuan L. KCTD10 regulates brain development by destabilizing brain disorder-associated protein KCTD13. Proc Natl Acad Sci U S A 2024; 121:e2315707121. [PMID: 38489388 PMCID: PMC10963008 DOI: 10.1073/pnas.2315707121] [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: 09/10/2023] [Accepted: 02/02/2024] [Indexed: 03/17/2024] Open
Abstract
KCTD10 belongs to the KCTD (potassiumchannel tetramerization domain) family, many members of which are associated with neuropsychiatric disorders. However, the biological function underlying the association with brain disorders remains to be explored. Here, we reveal that Kctd10 is highly expressed in neuronal progenitors and layer V neurons throughout brain development. Kctd10 deficiency triggers abnormal proliferation and differentiation of neuronal progenitors, reduced deep-layer (especially layer V) neurons, increased upper-layer neurons, and lowered brain size. Mechanistically, we screened and identified a unique KCTD10-interacting protein, KCTD13, associated with neurodevelopmental disorders. KCTD10 mediated the ubiquitination-dependent degradation of KCTD13 and KCTD10 ablation resulted in a considerable increase of KCTD13 expression in the developing cortex. KCTD13 overexpression in neuronal progenitors led to reduced proliferation and abnormal cell distribution, mirroring KCTD10 deficiency. Notably, mice with brain-specific Kctd10 knockout exhibited obvious motor deficits. This study uncovers the physiological function of KCTD10 and provides unique insights into the pathogenesis of neurodevelopmental disorders.
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Affiliation(s)
- Jianbo Cheng
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, Key Lab of Rare Pediatric Diseases of Ministry of Education, School of Life Sciences, Central South University, Changsha, Hunan410078, China
| | - Zhen Wang
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, Key Lab of Rare Pediatric Diseases of Ministry of Education, School of Life Sciences, Central South University, Changsha, Hunan410078, China
| | - Manpei Tang
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, Key Lab of Rare Pediatric Diseases of Ministry of Education, School of Life Sciences, Central South University, Changsha, Hunan410078, China
| | - Wen Zhang
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, Key Lab of Rare Pediatric Diseases of Ministry of Education, School of Life Sciences, Central South University, Changsha, Hunan410078, China
| | - Guozhong Li
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, Key Lab of Rare Pediatric Diseases of Ministry of Education, School of Life Sciences, Central South University, Changsha, Hunan410078, China
| | - Senwei Tan
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, Key Lab of Rare Pediatric Diseases of Ministry of Education, School of Life Sciences, Central South University, Changsha, Hunan410078, China
| | - Chenjun Mu
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, Key Lab of Rare Pediatric Diseases of Ministry of Education, School of Life Sciences, Central South University, Changsha, Hunan410078, China
| | - Mengyuan Hu
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, Key Lab of Rare Pediatric Diseases of Ministry of Education, School of Life Sciences, Central South University, Changsha, Hunan410078, China
| | - Dan Zhang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing100101, China
| | - Xiangbin Jia
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, Key Lab of Rare Pediatric Diseases of Ministry of Education, School of Life Sciences, Central South University, Changsha, Hunan410078, China
| | - Yangxuan Wen
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, Key Lab of Rare Pediatric Diseases of Ministry of Education, School of Life Sciences, Central South University, Changsha, Hunan410078, China
| | - Hui Guo
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, Key Lab of Rare Pediatric Diseases of Ministry of Education, School of Life Sciences, Central South University, Changsha, Hunan410078, China
- Hunan Key Laboratory of Animal Models for Human Diseases, Central South University, Changsha, Hunan410078, China
| | - Dan Xu
- Fujian Key Laboratory of Molecular Neurology, Institute of Neuroscience, Fujian Medical University, Fuzhou350005, China
| | - Liang Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing100053, China
| | - Jiada Li
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, Key Lab of Rare Pediatric Diseases of Ministry of Education, School of Life Sciences, Central South University, Changsha, Hunan410078, China
- Hunan Key Laboratory of Animal Models for Human Diseases, Central South University, Changsha, Hunan410078, China
| | - Kun Xia
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, Key Lab of Rare Pediatric Diseases of Ministry of Education, School of Life Sciences, Central South University, Changsha, Hunan410078, China
- Hunan Key Laboratory of Animal Models for Human Diseases, Central South University, Changsha, Hunan410078, China
| | - Faxiang Li
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, Key Lab of Rare Pediatric Diseases of Ministry of Education, School of Life Sciences, Central South University, Changsha, Hunan410078, China
- Hunan Key Laboratory of Animal Models for Human Diseases, Central South University, Changsha, Hunan410078, China
| | - Ranhui Duan
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, Key Lab of Rare Pediatric Diseases of Ministry of Education, School of Life Sciences, Central South University, Changsha, Hunan410078, China
- Hunan Key Laboratory of Animal Models for Human Diseases, Central South University, Changsha, Hunan410078, China
| | - Zhiheng Xu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing100101, China
| | - Ling Yuan
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, Key Lab of Rare Pediatric Diseases of Ministry of Education, School of Life Sciences, Central South University, Changsha, Hunan410078, China
- Hunan Key Laboratory of Animal Models for Human Diseases, Central South University, Changsha, Hunan410078, China
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Ortigoza-Escobar JD. Catching the Culprit: How Chorea May Signal an Inborn Error of Metabolism. Tremor Other Hyperkinet Mov (N Y) 2023; 13:36. [PMID: 37810989 PMCID: PMC10558026 DOI: 10.5334/tohm.801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 09/27/2023] [Indexed: 10/10/2023] Open
Abstract
Background Movement disorders, particularly chorea, are uncommon in inborn errors of metabolism, but their identification is essential for improved clinical outcomes. In this context, comprehensive descriptions of movement disorders are limited and primarily derived from single cases or small patient series, highlighting the need for increased awareness and additional research in this field. Methods A systematic review was conducted using the MEDLINE database and GeneReviews. The search included studies on inborn errors of metabolism associated with chorea, athetosis, or ballismus. The review adhered to PRISMA guidelines. Results The systematic review analyzed 76 studies out of 2350 records, encompassing the period from 1964 to 2022. Chorea was observed in 90.1% of the 173 patients, followed by athetosis in 5.7%. Various inborn errors of metabolism showed an association with chorea, with trace elements and metals being the most frequent. Cognitive and developmental abnormalities were common in the cohort. Frequent neurological features included seizures, dysarthria, and optic atrophy, whereas non-neurological features included, among others, facial dysmorphia and failure to thrive. Neuroimaging and biochemical testing played crucial roles in aiding diagnosis, revealing abnormal findings in 34.1% and 47.9% of patients, respectively. However, symptomatic treatment efficacy for movement disorders was limited. Discussion This study emphasizes the complexities of chorea in inborn errors of metabolism. A systematic approach with red flags, biochemical testing, and neuroimaging is required for diagnosis. Collaboration between neurologists, geneticists, and metabolic specialists is crucial for improving early detection and individualized treatment. Utilizing genetic testing technologies and potential therapeutic avenues can aid in the improvement of patient outcomes.
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Affiliation(s)
- Juan Darío Ortigoza-Escobar
- Department of Paediatric Neurology, Hospital Sant Joan de Déu, Barcelona, Spain
- European Reference Network for Rare Neurological Diseases (ERN-RND), Barcelona, Spain
- U-703 Centre for Biomedical Research on Rare Diseases (CIBER-ER), Instituto de Salud Carlos III, Barcelona, Spain
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Leuzzi V, Galosi S. Experimental pharmacology: Targeting metabolic pathways. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2023; 169:259-315. [PMID: 37482395 DOI: 10.1016/bs.irn.2023.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Since the discovery of the treatment for Wilson disease a growing number of treatable inherited dystonias have been identified and their search and treatment have progressively been implemented in the clinics of patients with dystonia. While waiting for gene therapy to be more widely and adequately translated into the clinical setting, the efforts to divert the natural course of dystonia reside in unveiling its pathogenesis. Specific metabolic treatments can rewrite the natural history of the disease by preventing neurotoxic metabolite accumulation or interfering with the cell accumulation of damaging metabolites, restoring energetic cell fuel, supplementing defective metabolites, and supplementing the defective enzyme. A metabolic derangement of cell homeostasis is part of the progression of many non-metabolic genetic lesions and could be the target for possible metabolic approaches. In this chapter, we provided an update on treatment strategies for treatable inherited dystonias and an overview of genetic dystonias with new experimental therapeutic approaches available or close to clinical translation.
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Affiliation(s)
- Vincenzo Leuzzi
- Department of Human Neuroscience, Sapienza University, Rome, Italy
| | - Serena Galosi
- Department of Human Neuroscience, Sapienza University, Rome, Italy.
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Kulcsarova K, Baloghova J, Necpal J, Skorvanek M. Skin Conditions and Movement Disorders: Hiding in Plain Sight. Mov Disord Clin Pract 2022; 9:566-583. [PMID: 35844274 PMCID: PMC9274368 DOI: 10.1002/mdc3.13436] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 02/17/2022] [Accepted: 03/07/2022] [Indexed: 11/09/2022] Open
Abstract
Skin manifestations are well-recognized non-motor symptoms of Parkinson's disease (PD) and other hypokinetic and hyperkinetic movement disorders. Skin conditions are usually well visible during routine clinical examination and their recognition may play a major role in diagnostic work-up. In this educational review we: (1) briefly outline skin conditions related to Parkinson's disease, including therapy-related skin complications and their management; (2) discuss the role of skin biopsies in early diagnosis of PD and differential diagnosis of parkinsonian syndromes; and focus more on areas which have not been reviewed in the literature before, including (3) skin conditions related to atypical parkinsonism, and (4) skin conditions related to hyperkinetic movement disorders. In case of rare hyperkinetic movement disorders, specific dermatological manifestations, like presence of angiokeratomas, telangiectasias, Mongolian spots, lipomas, ichthyosis, progeroid skin changes and others may point to a very specific group of disorders and help guide further investigations.
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Affiliation(s)
- Kristina Kulcsarova
- Department of Neurology, Medical FacultyUniversity of Pavol Jozef SafarikPavolSlovak Republic
- Department of NeurologyUniversity Hospital L. PasteurKosiceSlovak Republic
| | - Janette Baloghova
- Department of DermatovenerologyMedical Faculty, University of Pavol Jozef SafarikKosiceSlovak Republic
- Department of DermatovenerologyUniversity Hospital L. PasteurKosiceSlovak Republic
| | - Jan Necpal
- Department of NeurologyZvolen HospitalZvolenSlovak Republic
| | - Matej Skorvanek
- Department of Neurology, Medical FacultyUniversity of Pavol Jozef SafarikPavolSlovak Republic
- Department of NeurologyUniversity Hospital L. PasteurKosiceSlovak Republic
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Bhoyar AP, Mahale R, Kamble N, Holla V, Pal PK, Yadav R. Spectrum of Movement Disorder Emergencies in a Tertiary Care Center in India: A Prospective Observational Study. Ann Indian Acad Neurol 2022; 25:890-896. [PMID: 36561002 PMCID: PMC9764897 DOI: 10.4103/aian.aian_295_22] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/07/2022] [Accepted: 05/08/2022] [Indexed: 12/25/2022] Open
Abstract
Introduction Movement disorders can present in emergency services in an acute severe form which can be life threatening if not recognized. The relative frequency and spectrum of movement disorder emergencies have not been studied extensively. We studied the frequency, spectrum, and outcome of patients presenting with movement disorders emergencies. Methods This was a prospective, descriptive single center study. Patients presenting with acute movement disorders to the neurology emergency services of the institute during the study period from April 2019 to June 2021 were analyzed. Results A total of 71 patients presented with acute movement disorders during the study period. Out of them, 65 patients had hyperkinetic and 6 patients had hypokinetic movement disorders emergencies. Fifteen patients were below the age of 18 years. Chorea (59.1%) was the most common movement disorder emergencies followed by dystonia and myoclonus in adults. Dystonia (33.3%) was the common movement disorder emergencies in children. Hyperglycemia followed by stroke was the most common etiology of acute movement disorders. Conclusion This study brings out some novel findings on the movement disorders emergencies in Indian scenario. Chorea was the most common movement disorder emergencies presenting to the neurology emergency services. Early recognition and management of movement disorders emergencies help in reducing morbidity.
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Affiliation(s)
- Abhishek P. Bhoyar
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Rohan Mahale
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Nitish Kamble
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Vikram Holla
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Pramod Kumar Pal
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Ravi Yadav
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India,Address for correspondence: Dr. Ravi Yadav, Professor, Department of Neurology, First Floor, Neurosciences Faculty Block, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bengaluru - 560 029, Karnataka, India. E-mail:
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Saini A, Kaur J, Bhanudeep S, Suresh R, Bhatia V. Neurodegeneration with progressive dystonia: Juvenile-onset tay–Sachs disease. Ann Indian Acad Neurol 2022; 25:324-325. [PMID: 35693683 PMCID: PMC9175441 DOI: 10.4103/aian.aian_419_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 11/04/2021] [Accepted: 11/25/2021] [Indexed: 11/08/2022] Open
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Spectrum of Movement Disorders in Niemann-Pick Disease Type C. Tremor Other Hyperkinet Mov (N Y) 2022; 12:28. [PMID: 36187872 PMCID: PMC9479749 DOI: 10.5334/tohm.701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 08/11/2022] [Indexed: 11/20/2022] Open
Abstract
Introduction Niemann-Pick disease type C (NPC) is an autosomal recessive neurovisceral lipid storage disorder caused by mutations in the NPC 1 or 2 genes. Movement disorders can occur as the first symptom and as predominant symptom mainly in juvenile-onset. The frequency and heterogeneity of movement disorders in NPC are not well described. We studied the frequency and spectrum of movement disorders in patients with NPC of different age of onset. Methods Retrospective chart review of patients with NPC diagnosed based on the Suspicion Index tool and demonstration of foamy macrophages/sea-blue histiocytes in bone marrow aspirate. Results We report 9 cases of NPC with 2 patients of late-infantile, 4 juvenile-onset and 3 of adult-onset. The mean age at onset of symptoms was 11.7 ± 10.4 (range 4-38 years) and the median duration of illness was 4 years. Vertical supranuclear gaze palsy (VSGP) was noted in 8 patients and VSGP with slowing of saccade in 1 patient. Splenomegaly was seen in 5 patients. Movement disorders as the first symptom occurred in 4 patients. Dystonia was the first symptom in 2 patients and cerebellar ataxia in 2 patients. Cerebellar ataxia occurred during the course of illness in 5 patients, dystonia in 6 patients. One patient with late-infantile NPC had stimulus-sensitive myoclonus. Conclusion Movement disorders are common in NPC and occur as a presenting symptom. Cerebellar ataxia and dystonia are the most common movement disorder in NPC. Vertical supranuclear gaze palsy along with the movement disorders should lead to clinical suspicion of NPC.
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Morales-Briceno H, Fung VSC, Bhatia KP, Balint B. Parkinsonism and dystonia: Clinical spectrum and diagnostic clues. J Neurol Sci 2021; 433:120016. [PMID: 34642024 DOI: 10.1016/j.jns.2021.120016] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 08/20/2021] [Accepted: 09/29/2021] [Indexed: 10/20/2022]
Abstract
The links between the two archetypical basal ganglia disorders, dystonia and parkinsonism, are manifold and stem from clinical observations, imaging studies, animal models and genetics. The combination of both, i.e. the syndrome of dystonia-parkinsonism, is not uncommonly seen in movement disorders clinics and has a myriad of different underlying aetiologies, upon which treatment and prognosis depend. Based on a comprehensive literature review, we delineate the clinical spectrum of disorders presenting with dystonia-parkinsonism. The clinical approach depends primarily on the age at onset, associated neurological or systemic symptoms and neuroimaging. The tempo of disease progression, and the response to L-dopa are further important clues to tailor diagnostic approaches that may encompass dopamine transporter imaging, CSF analysis and, last but not least, genetic testing. Later in life, sporadic neurodegenerative conditions are the most frequent cause, but the younger the patient, the more likely the cause is unravelled by the recent advances of molecular genetics that are focus of this review. Here, knowledge of the associated phenotypic spectrum is key to guide genetic testing and interpretation of test results. This article is part of the Special Issue "Parkinsonism across the spectrum of movement disorders and beyond" edited by Joseph Jankovic, Daniel D. Truong and Matteo Bologna.
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Affiliation(s)
- Hugo Morales-Briceno
- Neurology Department, Movement Disorders Unit, Westmead Hospital, NSW, Sydney, Australia; Sydney Medical School, University of Sydney, Sydney, NSW 2145, Australia
| | - Victor S C Fung
- Neurology Department, Movement Disorders Unit, Westmead Hospital, NSW, Sydney, Australia; Sydney Medical School, University of Sydney, Sydney, NSW 2145, Australia
| | - Kailash P Bhatia
- UCL Queen Square Institute of Neurology Department of Clinical and Movement Neurosciences, Queen Square, London WC1N 3BG, United Kingdom
| | - Bettina Balint
- Department of Neurology, University Hospital Heidelberg, Germany.
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Ortigoza-Escobar JD. A Proposed Diagnostic Algorithm for Inborn Errors of Metabolism Presenting With Movements Disorders. Front Neurol 2020; 11:582160. [PMID: 33281718 PMCID: PMC7691570 DOI: 10.3389/fneur.2020.582160] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 09/30/2020] [Indexed: 12/13/2022] Open
Abstract
Inherited metabolic diseases or inborn errors of metabolism frequently manifest with both hyperkinetic (dystonia, chorea, myoclonus, ataxia, tremor, etc.) and hypokinetic (rigid-akinetic syndrome) movement disorders. The diagnosis of these diseases is in many cases difficult, because the same movement disorder can be caused by several diseases. Through a literature review, two hundred and thirty one inborn errors of metabolism presenting with movement disorders have been identified. Fifty-one percent of these diseases exhibits two or more movement disorders, of which ataxia and dystonia are the most frequent. Taking into account the wide range of these disorders, a methodical evaluation system needs to be stablished. This work proposes a six-step diagnostic algorithm for the identification of inborn errors of metabolism presenting with movement disorders comprising red flags, characterization of the movement disorders phenotype (type of movement disorder, age and nature of onset, distribution and temporal pattern) and other neurological and non-neurological signs, minimal biochemical investigation to diagnose treatable diseases, radiological patterns, genetic testing and ultimately, symptomatic, and disease-specific treatment. As a strong action, it is emphasized not to miss any treatable inborn error of metabolism through the algorithm.
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Affiliation(s)
- Juan Darío Ortigoza-Escobar
- Movement Disorders Unit, Institut de Recerca Sant Joan de Déu, CIBERER-ISCIII and European Reference Network for Rare Neurological Diseases (ERN-RND), Barcelona, Spain
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Morales-Briceño H, Mohammad SS, Post B, Fois AF, Dale RC, Tchan M, Fung VSC. Clinical and neuroimaging phenotypes of genetic parkinsonism from infancy to adolescence. Brain 2019; 143:751-770. [DOI: 10.1093/brain/awz345] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Revised: 07/29/2019] [Accepted: 09/06/2019] [Indexed: 12/11/2022] Open
Abstract
AbstractGenetic early-onset parkinsonism presenting from infancy to adolescence (≤21 years old) is a clinically diverse syndrome often combined with other hyperkinetic movement disorders, neurological and imaging abnormalities. The syndrome is genetically heterogeneous, with many causative genes already known. With the increased use of next-generation sequencing in clinical practice, there have been novel and unexpected insights into phenotype-genotype correlations and the discovery of new disease-causing genes. It is now recognized that mutations in a single gene can give rise to a broad phenotypic spectrum and that, conversely different genetic disorders can manifest with a similar phenotype. Accurate phenotypic characterization remains an essential step in interpreting genetic findings in undiagnosed patients. However, in the past decade, there has been a marked expansion in knowledge about the number of both disease-causing genes and phenotypic spectrum of early-onset cases. Detailed knowledge of genetic disorders and their clinical expression is required for rational planning of genetic and molecular testing, as well as correct interpretation of next-generation sequencing results. In this review we examine the relevant literature of genetic parkinsonism with ≤21 years onset, extracting data on associated movement disorders as well as other neurological and imaging features, to delineate syndromic patterns associated with early-onset parkinsonism. Excluding PRKN (parkin) mutations, >90% of the presenting phenotypes have a complex or atypical presentation, with dystonia, abnormal cognition, pyramidal signs, neuropsychiatric disorders, abnormal imaging and abnormal eye movements being the most common features. Furthermore, several imaging features and extraneurological manifestations are relatively specific for certain disorders and are important diagnostic clues. From the currently available literature, the most commonly implicated causes of early-onset parkinsonism have been elucidated but diagnosis is still challenging in many cases. Mutations in ∼70 different genes have been associated with early-onset parkinsonism or may feature parkinsonism as part of their phenotypic spectrum. Most of the cases are caused by recessively inherited mutations, followed by dominant and X-linked mutations, and rarely by mitochondrially inherited mutations. In infantile-onset parkinsonism, the phenotype of hypokinetic-rigid syndrome is most commonly caused by disorders of monoamine synthesis. In childhood and juvenile-onset cases, common genotypes include PRKN, HTT, ATP13A2, ATP1A3, FBX07, PINK1 and PLA2G6 mutations. Moreover, Wilson’s disease and mutations in the manganese transporter are potentially treatable conditions and should always be considered in the differential diagnosis in any patient with early-onset parkinsonism.
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Affiliation(s)
- Hugo Morales-Briceño
- Movement Disorders Unit, Neurology Department, Westmead Hospital, Westmead, NSW 2145, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW 2145, Australia
| | - Shekeeb S Mohammad
- Neurology Department, Children’s Westmead Hospital, Faculty of Medicine and Health, University of Sydney, Westmead, NSW 2145, Australia
| | - Bart Post
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Parkinson Centre Nijmegen (ParC) Nijmegen, The Netherlands
| | - Alessandro F Fois
- Movement Disorders Unit, Neurology Department, Westmead Hospital, Westmead, NSW 2145, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW 2145, Australia
| | - Russell C Dale
- Neurology Department, Children’s Westmead Hospital, Faculty of Medicine and Health, University of Sydney, Westmead, NSW 2145, Australia
| | - Michel Tchan
- Sydney Medical School, University of Sydney, Sydney, NSW 2145, Australia
- Department of Genetic Medicine, Westmead Hospital, Westmead, NSW 2145, Australia
| | - Victor S C Fung
- Movement Disorders Unit, Neurology Department, Westmead Hospital, Westmead, NSW 2145, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW 2145, Australia
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Niemann N, Jankovic J. Juvenile parkinsonism: Differential diagnosis, genetics, and treatment. Parkinsonism Relat Disord 2019; 67:74-89. [DOI: 10.1016/j.parkreldis.2019.06.025] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 05/24/2019] [Accepted: 06/28/2019] [Indexed: 12/12/2022]
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12
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Teng X, Aouacheria A, Lionnard L, Metz KA, Soane L, Kamiya A, Hardwick JM. KCTD: A new gene family involved in neurodevelopmental and neuropsychiatric disorders. CNS Neurosci Ther 2019; 25:887-902. [PMID: 31197948 PMCID: PMC6566181 DOI: 10.1111/cns.13156] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Revised: 05/02/2019] [Accepted: 05/13/2019] [Indexed: 12/12/2022] Open
Abstract
The underlying molecular basis for neurodevelopmental or neuropsychiatric disorders is not known. In contrast, mechanistic understanding of other brain disorders including neurodegeneration has advanced considerably. Yet, these do not approach the knowledge accrued for many cancers with precision therapeutics acting on well-characterized targets. Although the identification of genes responsible for neurodevelopmental and neuropsychiatric disorders remains a major obstacle, the few causally associated genes are ripe for discovery by focusing efforts to dissect their mechanisms. Here, we make a case for delving into mechanisms of the poorly characterized human KCTD gene family. Varying levels of evidence support their roles in neurocognitive disorders (KCTD3), neurodevelopmental disease (KCTD7), bipolar disorder (KCTD12), autism and schizophrenia (KCTD13), movement disorders (KCTD17), cancer (KCTD11), and obesity (KCTD15). Collective knowledge about these genes adds enhanced value, and critical insights into potential disease mechanisms have come from unexpected sources. Translation of basic research on the KCTD-related yeast protein Whi2 has revealed roles in nutrient signaling to mTORC1 (KCTD11) and an autophagy-lysosome pathway affecting mitochondria (KCTD7). Recent biochemical and structure-based studies (KCTD12, KCTD13, KCTD16) reveal mechanisms of regulating membrane channel activities through modulation of distinct GTPases. We explore how these seemingly varied functions may be disease related.
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Affiliation(s)
- Xinchen Teng
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical SciencesSoochow UniversitySuzhouChina
- W. Harry Feinstone Department of Molecular Microbiology and ImmunologyJohns Hopkins University Bloomberg School of Public HealthBaltimoreMaryland
| | - Abdel Aouacheria
- ISEM, Institut des Sciences de l'Evolution de Montpellier, CNRS, EPHE, IRDUniversité de MontpellierMontpellierFrance
| | - Loïc Lionnard
- ISEM, Institut des Sciences de l'Evolution de Montpellier, CNRS, EPHE, IRDUniversité de MontpellierMontpellierFrance
| | - Kyle A. Metz
- W. Harry Feinstone Department of Molecular Microbiology and ImmunologyJohns Hopkins University Bloomberg School of Public HealthBaltimoreMaryland
- Present address:
Feinberg School of MedicineNorthwestern UniversityChicagoUSA
| | - Lucian Soane
- W. Harry Feinstone Department of Molecular Microbiology and ImmunologyJohns Hopkins University Bloomberg School of Public HealthBaltimoreMaryland
| | - Atsushi Kamiya
- Department of Psychiatry and Behavioral SciencesJohns Hopkins School of MedicineBaltimoreMaryland
| | - J. Marie Hardwick
- W. Harry Feinstone Department of Molecular Microbiology and ImmunologyJohns Hopkins University Bloomberg School of Public HealthBaltimoreMaryland
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Gatto EM, Da Prat G, Etcheverry JL, Drelichman G, Cesarini M. Parkinsonisms and Glucocerebrosidase Deficiency: A Comprehensive Review for Molecular and Cellular Mechanism of Glucocerebrosidase Deficiency. Brain Sci 2019; 9:brainsci9020030. [PMID: 30717266 PMCID: PMC6406566 DOI: 10.3390/brainsci9020030] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Revised: 01/25/2019] [Accepted: 01/30/2019] [Indexed: 02/07/2023] Open
Abstract
In the last years, lysosomal storage diseases appear as a bridge of knowledge between rare genetic inborn metabolic disorders and neurodegenerative diseases such as Parkinson’s disease (PD) or frontotemporal dementia. Epidemiological studies helped promote research in the field that continues to improve our understanding of the link between mutations in the glucocerebrosidase (GBA) gene and PD. We conducted a review of this link, highlighting the association in GBA mutation carriers and in Gaucher disease type 1 patients (GD type 1). A comprehensive review of the literature from January 2008 to December 2018 was undertaken. Relevance findings include: (1) There is a bidirectional interaction between GBA and α- synuclein in protein homeostasis regulatory pathways involving the clearance of aggregated proteins. (2) The link between GBA deficiency and PD appears not to be restricted to α–synuclein aggregates but also involves Parkin and PINK1 mutations. (3) Other factors help explain this association, including early and later endosomes and the lysosomal-associated membrane protein 2A (LAMP-2A) involved in the chaperone-mediated autophagy (CMA). (4) The best knowledge allows researchers to explore new therapeutic pathways alongside substrate reduction or enzyme replacement therapies.
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Affiliation(s)
- Emilia M Gatto
- Department of Neurology, Parkinson's Disease and Movement Disorders Section, Institute of Neuroscience of Buenos Aires (INEBA). Guardia Vieja 4435, Buenos Aires C1192AAW, Argentina.
| | - Gustavo Da Prat
- Department of Neurology, Parkinson's Disease and Movement Disorders Section, Institute of Neuroscience of Buenos Aires (INEBA). Guardia Vieja 4435, Buenos Aires C1192AAW, Argentina.
| | - Jose Luis Etcheverry
- Department of Neurology, Parkinson's Disease and Movement Disorders Section, Institute of Neuroscience of Buenos Aires (INEBA). Guardia Vieja 4435, Buenos Aires C1192AAW, Argentina.
| | - Guillermo Drelichman
- Hospital de Niños Ricardo Gutiérrez, Gallo 1330, Buenos Aires C1425EFD, Argentina.
| | - Martin Cesarini
- Department of Neurology, Parkinson's Disease and Movement Disorders Section, Institute of Neuroscience of Buenos Aires (INEBA). Guardia Vieja 4435, Buenos Aires C1192AAW, Argentina.
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Ebrahimi‐Fakhari D, Van Karnebeek C, Münchau A. Movement Disorders in Treatable Inborn Errors of Metabolism. Mov Disord 2018; 34:598-613. [DOI: 10.1002/mds.27568] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 09/30/2018] [Accepted: 10/25/2018] [Indexed: 12/20/2022] Open
Affiliation(s)
- Darius Ebrahimi‐Fakhari
- Department of Neurology, Boston Children's HospitalHarvard Medical School Boston Massachusetts USA
| | - Clara Van Karnebeek
- Departments of Pediatrics and Clinical GeneticsAmsterdam University Medical Centres Amsterdam The Netherlands
| | - Alexander Münchau
- Department of Pediatric and Adult Movement Disorders and Neuropsychiatry, Institute of NeurogeneticsUniversity of Lübeck Lübeck Germany
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