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Levi S, Ripamonti M, Moro AS, Cozzi A. Iron imbalance in neurodegeneration. Mol Psychiatry 2024; 29:1139-1152. [PMID: 38212377 PMCID: PMC11176077 DOI: 10.1038/s41380-023-02399-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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 12/19/2023] [Accepted: 12/22/2023] [Indexed: 01/13/2024]
Abstract
Iron is an essential element for the development and functionality of the brain, and anomalies in its distribution and concentration in brain tissue have been found to be associated with the most frequent neurodegenerative diseases. When magnetic resonance techniques allowed iron quantification in vivo, it was confirmed that the alteration of brain iron homeostasis is a common feature of many neurodegenerative diseases. However, whether iron is the main actor in the neurodegenerative process, or its alteration is a consequence of the degenerative process is still an open question. Because the different iron-related pathogenic mechanisms are specific for distinctive diseases, identifying the molecular mechanisms common to the various pathologies could represent a way to clarify this complex topic. Indeed, both iron overload and iron deficiency have profound consequences on cellular functioning, and both contribute to neuronal death processes in different manners, such as promoting oxidative damage, a loss of membrane integrity, a loss of proteostasis, and mitochondrial dysfunction. In this review, with the attempt to elucidate the consequences of iron dyshomeostasis for brain health, we summarize the main pathological molecular mechanisms that couple iron and neuronal death.
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Affiliation(s)
- Sonia Levi
- Vita-Salute San Raffaele University, Milano, Italy.
- IRCCS San Raffaele Scientific Institute, Milano, Italy.
| | | | - Andrea Stefano Moro
- Vita-Salute San Raffaele University, Milano, Italy
- Department of Psychology, Sigmund Freud University, Milan, Italy
| | - Anna Cozzi
- IRCCS San Raffaele Scientific Institute, Milano, Italy
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2
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Orsini A, Santangelo A, Carmignani A, Camporeale A, Massart F, Tyutyusheva N, Peroni DG, Foiadelli T, Ferretti A, Toschi B, Romano S, Bonuccelli A. An Ultra-Rare Mixed Phenotype with Combined AP-4 and ERF Mutations: The First Report in a Pediatric Patient and a Literature Review. Genes (Basel) 2024; 15:436. [PMID: 38674371 PMCID: PMC11049481 DOI: 10.3390/genes15040436] [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: 02/12/2024] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/28/2024] Open
Abstract
The adaptor protein 4 (AP-4) constitutes a conserved hetero-tetrameric complex within the family of adaptor protein (AP) complex, crucial for the signal-mediated trafficking of integral membrane proteins. Mutations affecting all subunits of the AP-4 complex have been linked to autosomal-recessive cerebral palsy and a complex hereditary spastic paraparesis (HSP) phenotype. Our report details the case of a 14-year-old boy born to consanguineous parents, presenting psychomotor delay, severe intellectual disability, microcephaly, and trigonocephaly. Despite a history of febrile seizures, subsequent years were devoid of seizures, with normal EEG. Exome sequencing revealed pathogenic variants in both the AP4B1 and ERF genes. Significantly, the patient exhibited features associated with AP4B1 mutations, including distinctive traits such as cranial malformations. The ERF gene variant, linked to craniosynostosis, likely contributes to the observed trigonocephaly. This case represents the initial documentation of a concurrent mutation in the AP4B1 and ERF genes, underscoring the critical role of exome analysis in unraveling complex phenotypes. Understanding these complex genotypes offers valuable insights into broader syndromic conditions, facilitating comprehensive patient management.
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Affiliation(s)
- Alessandro Orsini
- Pediatric Neurology, Pediatric Department, AOUP Santa Chiara Hospital, 56100 Pisa, Italy; (A.O.); (A.B.)
| | - Andrea Santangelo
- Pediatric Neurology, Pediatric Department, AOUP Santa Chiara Hospital, 56100 Pisa, Italy; (A.O.); (A.B.)
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16126 Genoa, Italy
| | - Alessandra Carmignani
- Pediatric Department, AOUP Santa Chiara Hospital, 56100 Pisa, Italy; (A.C.); (A.C.); (D.G.P.)
| | - Anna Camporeale
- Pediatric Department, AOUP Santa Chiara Hospital, 56100 Pisa, Italy; (A.C.); (A.C.); (D.G.P.)
| | - Francesco Massart
- Pediatric Endocrinology, Pediatric Department, AOUP Santa Chiara Hospital, 56100 Pisa, Italy; (F.M.); (N.T.)
| | - Nina Tyutyusheva
- Pediatric Endocrinology, Pediatric Department, AOUP Santa Chiara Hospital, 56100 Pisa, Italy; (F.M.); (N.T.)
| | - Diego Giampietro Peroni
- Pediatric Department, AOUP Santa Chiara Hospital, 56100 Pisa, Italy; (A.C.); (A.C.); (D.G.P.)
| | - Thomas Foiadelli
- Clinica Pediatrica, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy;
| | - Alessandro Ferretti
- Pediatrics Unit, Neuroscience, Mental Health and Sense Organs (NESMOS) Department, Faculty of Medicine and Psychology, Sapienza University of Rome, 00185 Rome, Italy;
| | - Benedetta Toschi
- Division of Medical Genetics, Department of Medical and Oncological Area, University-Hospital, 56126 Pisa, Italy; (B.T.); (S.R.)
| | - Silvia Romano
- Division of Medical Genetics, Department of Medical and Oncological Area, University-Hospital, 56126 Pisa, Italy; (B.T.); (S.R.)
| | - Alice Bonuccelli
- Pediatric Neurology, Pediatric Department, AOUP Santa Chiara Hospital, 56100 Pisa, Italy; (A.O.); (A.B.)
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Si L, Wang Z, Li XY, Song Y, Yao T, Xu E, Wang X, Wang C. Novel mutations and molecular pathways identified in patients with brain iron accumulation disorders. Neurogenetics 2023; 24:231-241. [PMID: 37453004 DOI: 10.1007/s10048-023-00725-9] [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: 04/04/2023] [Accepted: 07/06/2023] [Indexed: 07/18/2023]
Abstract
Brain iron accumulation disorders (BIADs) are a group of diseases characterized by iron overload in deep gray matter nuclei, which is a common feature of neurodegenerative diseases. Although genetic factors have been reported to be one of the etiologies, much more details about the genetic background and molecular mechanism of BIADs remain unclear. This study aimed to illustrate the genetic characteristics of BIADs and clarify their molecular mechanisms. A total of 84 patients with BIADs were recruited from April 2018 to October 2022 at Xuanwu Hospital. Clinical characteristics including family history, consanguineous marriage history, and age at onset (AAO) were collected and assessed by two senior neurologists. Neuroimaging data were conducted for all the patients, including cranial magnetic resonance imaging (MRI) and susceptibility-weighted imaging (SWI). Whole-exome sequencing (WES) and capillary electrophoresis for detecting sequence mutation and trinucleotide repeat expansion, respectively, were conducted on all patients and part of their parents (whose samples were available). Variant pathogenicity was assessed according to the American College of Medical Genetics and Association for Molecular Pathology (ACMG/AMP). The NBIA and NBIA-like genes with mutations were included for bioinformatic analysis, using Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genome (KEGG). GO annotation and KEGG pathway analysis were performed on Metascape platform. In the 84 patients, 30 (35.7%) were found to carry mutations, among which 20 carried non-dynamic mutations (missense, stop-gained, frameshift, inframe, and exonic deletion) and 10 carried repeat expansion mutations. Compared with sporadic cases, familial cases had more genetic variants (non-dynamic mutation: P=0.025, dynamic mutation: P=0.003). AAO was 27.85±10.42 years in cases with non-dynamic mutations, which was significantly younger than those without mutations (43.13±17.17, t=3.724, P<0.001) and those with repeated expansions (45.40±8.90, t=4.550, P<0.001). Bioinformatic analysis suggested that genes in lipid metabolism, autophagy, mitochondria regulation, and ferroptosis pathways are more likely to be involved in the pathogenesis of BIADs. This study broadens the genetic spectrum of BIADs and has important implications in genetic counselling and clinical diagnosis. Patients diagnosed as BIADs with early AAO and family history are more likely to carry mutations. Bioinformatic analysis provides new insights into the molecular pathogenesis of BIADs, which may shed lights on the therapeutic strategy for neurodegenerative diseases.
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Affiliation(s)
- Lianghao Si
- Department of Neurology & Neurobiology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
| | - Zhanjun Wang
- Department of Neurology & Neurobiology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
| | - Xu-Ying Li
- Department of Neurology & Neurobiology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
| | - Yang Song
- Department of Neurology & Neurobiology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
| | - Tingyan Yao
- Department of Neurology & Neurobiology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
| | - Erhe Xu
- Department of Neurology & Neurobiology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
| | - Xianling Wang
- Department of Neurology & Neurobiology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
| | - Chaodong Wang
- Department of Neurology & Neurobiology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China.
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Cerebral Iron Deposition in Neurodegeneration. Biomolecules 2022; 12:biom12050714. [PMID: 35625641 PMCID: PMC9138489 DOI: 10.3390/biom12050714] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 05/12/2022] [Accepted: 05/13/2022] [Indexed: 02/04/2023] Open
Abstract
Disruption of cerebral iron regulation appears to have a role in aging and in the pathogenesis of various neurodegenerative disorders. Possible unfavorable impacts of iron accumulation include reactive oxygen species generation, induction of ferroptosis, and acceleration of inflammatory changes. Whole-brain iron-sensitive magnetic resonance imaging (MRI) techniques allow the examination of macroscopic patterns of brain iron deposits in vivo, while modern analytical methods ex vivo enable the determination of metal-specific content inside individual cell-types, sometimes also within specific cellular compartments. The present review summarizes the whole brain, cellular, and subcellular patterns of iron accumulation in neurodegenerative diseases of genetic and sporadic origin. We also provide an update on mechanisms, biomarkers, and effects of brain iron accumulation in these disorders, focusing on recent publications. In Parkinson’s disease, Friedreich’s disease, and several disorders within the neurodegeneration with brain iron accumulation group, there is a focal siderosis, typically in regions with the most pronounced neuropathological changes. The second group of disorders including multiple sclerosis, Alzheimer’s disease, and amyotrophic lateral sclerosis shows iron accumulation in the globus pallidus, caudate, and putamen, and in specific cortical regions. Yet, other disorders such as aceruloplasminemia, neuroferritinopathy, or Wilson disease manifest with diffuse iron accumulation in the deep gray matter in a pattern comparable to or even more extensive than that observed during normal aging. On the microscopic level, brain iron deposits are present mostly in dystrophic microglia variably accompanied by iron-laden macrophages and in astrocytes, implicating a role of inflammatory changes and blood–brain barrier disturbance in iron accumulation. Options and potential benefits of iron reducing strategies in neurodegeneration are discussed. Future research investigating whether genetic predispositions play a role in brain Fe accumulation is necessary. If confirmed, the prevention of further brain Fe uptake in individuals at risk may be key for preventing neurodegenerative disorders.
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Kolarova H, Tan J, Strom TM, Meitinger T, Wagner M, Klopstock T. Lifetime risk of autosomal recessive neurodegeneration with brain iron accumulation (NBIA) disorders calculated from genetic databases. EBioMedicine 2022; 77:103869. [PMID: 35180557 PMCID: PMC8856992 DOI: 10.1016/j.ebiom.2022.103869] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 01/24/2022] [Accepted: 01/24/2022] [Indexed: 02/06/2023] Open
Abstract
Background Neurodegeneration with brain iron accumulation (NBIA) are a group of clinically and genetically heterogeneous diseases characterized by iron overload in basal ganglia and progressive neurodegeneration. Little is known about the epidemiology of NBIA disorders. In the absence of large-scale population-based studies, obtaining reliable epidemiological data requires innovative approaches. Methods All pathogenic variants were collected from the 13 genes associated with autosomal recessive NBIA (PLA2G6, PANK2, COASY, ATP13A2, CP, AP4M1, FA2H, CRAT, SCP2, C19orf12, DCAF17, GTPBP2, REPS1). The allele frequencies of these disease-causing variants were assessed in exome/genome collections: the Genome Aggregation Database (gnomAD) and our in-house database. Lifetime risks were calculated from the sum of allele frequencies in the respective genes under assumption of Hardy-Weinberg equilibrium. Findings The combined estimated lifetime risk of all 13 investigated NBIA disorders is 0.88 (95% confidence interval 0.70–1.10) per 100,000 based on the global gnomAD dataset (n = 282,912 alleles), 0.92 (0.65–1.29) per 100,000 in the European gnomAD dataset (n = 129,206), and 0.90 (0.48–1.62) per 100,000 in our in-house database (n = 44,324). Individually, the highest lifetime risks (>0.15 per 100,000) are found for disorders caused by variants in PLA2G6, PANK2 and COASY. Interpretation This population-genetic estimation on lifetime risks of recessive NBIA disorders reveals frequencies far exceeding previous population-based numbers. Importantly, our approach represents lifetime risks from conception, thus including prenatal deaths. Understanding the true lifetime risk of NBIA disorders is important in estimating disease burden, allocating resources and targeting specific interventions.
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Affiliation(s)
- Hana Kolarova
- Department of Neurology, Friedrich-Baur-Institute, University Hospital, Ludwig Maximilian University of Munich, Ziemssenstraße 1a, Munich 80336, Germany; Institute of Human Genetics, Technical University of Munich, Trogerstraße 32, Munich 81675, Germany; Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital, Ke Karlovu 2, Prague 12000, Czech Republic
| | - Jing Tan
- Department of Neurology, Friedrich-Baur-Institute, University Hospital, Ludwig Maximilian University of Munich, Ziemssenstraße 1a, Munich 80336, Germany; Institute of Human Genetics, Technical University of Munich, Trogerstraße 32, Munich 81675, Germany; Department of Neurology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Tim M Strom
- Institute of Human Genetics, Technical University of Munich, Trogerstraße 32, Munich 81675, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Technical University of Munich, Trogerstraße 32, Munich 81675, Germany
| | - Matias Wagner
- Institute of Human Genetics, Technical University of Munich, Trogerstraße 32, Munich 81675, Germany; Institute of Neurogenomics, Helmholtz Zentrum Munich, Ingolstädter Landstraße 1, Neuherberg 85764, Germany; LMU University Hospital, Department of Pediatrics, Dr. von Hauner Children's Hospital, Division of Pediatric Neurology, LMU Center for Development and Children with Medical Complexity, Ludwig-Maximilians-University, Munich, Germany.
| | - Thomas Klopstock
- Department of Neurology, Friedrich-Baur-Institute, University Hospital, Ludwig Maximilian University of Munich, Ziemssenstraße 1a, Munich 80336, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
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6
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An Updated Overview of the Magnetic Resonance Imaging of Brain Iron in Movement Disorders. Behav Neurol 2022; 2022:3972173. [PMID: 35251368 PMCID: PMC8894064 DOI: 10.1155/2022/3972173] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 01/29/2022] [Indexed: 01/12/2023] Open
Abstract
Brain iron load is one of the most important neuropathological hallmarks in movement disorders. Specifically, the iron provides most of the paramagnetic metal signals in the brain and its accumulation seems to play a key role, although not completely explained, in the degeneration of the basal ganglia, as well as other brain structures. Moreover, iron distribution patterns have been implicated in depicting different movement disorders. This work reviewed current literature on Magnetic Resonance Imaging for Brain Iron Detection and Quantification (MRI-BIDQ) in neurodegenerative processes underlying movement disorders.
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Towards Precision Therapies for Inherited Disorders of Neurodegeneration with Brain Iron Accumulation. Tremor Other Hyperkinet Mov (N Y) 2021; 11:51. [PMID: 34909266 PMCID: PMC8641530 DOI: 10.5334/tohm.661] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 11/05/2021] [Indexed: 12/13/2022] Open
Abstract
Background: Neurodegeneration with brain iron accumulation (NBIA) disorders comprise a group of rare but devastating inherited neurological diseases with unifying features of progressive cognitive and motor decline, and increased iron deposition in the basal ganglia. Although at present there are no proven disease-modifying treatments, the severe nature of these monogenic disorders lends to consideration of personalized medicine strategies, including targeted gene therapy. In this review we summarize the progress and future direction towards precision therapies for NBIA disorders. Methods: This review considered all relevant publications up to April 2021 using a systematic search strategy of PubMed and clinical trials databases. Results: We review what is currently known about the underlying pathophysiology of NBIA disorders, common NBIA disease pathways, and how this knowledge has influenced current management strategies and clinical trial design. The safety profile, efficacy and clinical outcome of clinical studies are reviewed. Furthermore, the potential for future therapeutic approaches is also discussed. Discussion: Therapeutic options in NBIAs remain very limited, with no proven disease-modifying treatments at present. However, a number of different approaches are currently under development with increasing focus on targeted precision therapies. Recent advances in the field give hope that novel strategies, such as gene therapy, gene editing and substrate replacement therapies are both scientifically and financially feasible for these conditions. Highlights This article provides an up-to-date review of the current literature about Neurodegeneration with Brain Iron Accumulation (NBIA), with a focus on disease pathophysiology, current and previously trialed therapies, and future treatments in development, including consideration of potential genetic therapy approaches.
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Shin J, Nile A, Oh JW. Role of adaptin protein complexes in intracellular trafficking and their impact on diseases. Bioengineered 2021; 12:8259-8278. [PMID: 34565296 PMCID: PMC8806629 DOI: 10.1080/21655979.2021.1982846] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 09/15/2021] [Accepted: 09/15/2021] [Indexed: 02/07/2023] Open
Abstract
Adaptin proteins (APs) play a crucial role in intracellular cell trafficking. The 'classical' role of APs is carried out by AP1‒3, which bind to clathrin, cargo, and accessory proteins. Accordingly, AP1-3 are crucial for both vesicle formation and sorting. All APs consist of four subunits that are indispensable for their functions. In fact, based on studies using cells, model organism knockdown/knock-out, and human variants, each subunit plays crucial roles and contributes to the specificity of each AP. These studies also revealed that the sorting and intracellular trafficking function of AP can exert varying effects on pathology by controlling features such as cell development, signal transduction related to the apoptosis and proliferation pathways in cancer cells, organelle integrity, receptor presentation, and viral infection. Although the roles and functions of AP1‒3 are relatively well studied, the functions of the less abundant and more recently identified APs, AP4 and AP5, are still to be investigated. Further studies on these APs may enable a better understanding and targeting of specific diseases.APs known or suggested locations and functions.
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Affiliation(s)
- Juhyun Shin
- Department of Stem Cell and Regenerative Biotechnology and Animal Resources Research Center, Konkuk University, Seoul, Republic of Korea
| | - Arti Nile
- Department of Stem Cell and Regenerative Biotechnology and Animal Resources Research Center, Konkuk University, Seoul, Republic of Korea
| | - Jae-Wook Oh
- Department of Stem Cell and Regenerative Biotechnology and Animal Resources Research Center, Konkuk University, Seoul, Republic of Korea
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Ebrahimi-Fakhari D, Alecu JE, Ziegler M, Geisel G, Jordan C, D'Amore A, Yeh RC, Akula SK, Saffari A, Prabhu SP, Sahin M, Yang E. Systematic Analysis of Brain MRI Findings in Adaptor Protein Complex 4-Associated Hereditary Spastic Paraplegia. Neurology 2021; 97:e1942-e1954. [PMID: 34544818 DOI: 10.1212/wnl.0000000000012836] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 08/23/2021] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND AND OBJECTIVES AP-4-associated hereditary spastic paraplegia (AP-4-HSP: SPG47, SPG50, SPG51, SPG52) is an emerging cause of childhood-onset hereditary spastic paraplegia and mimic of cerebral palsy. This study aims to define the spectrum of brain MRI findings in AP-4-HSP and to investigate radioclinical correlations. METHODS We performed a systematic qualitative and quantitative analysis of 107 brain MRI studies from 76 individuals with genetically confirmed AP-4-HSP and correlation with clinical findings including surrogates of disease severity. RESULTS We define AP-4-HSP as a disorder of gray and white matter and demonstrate that abnormal myelination is common and that metrics of reduced white matter volume correlate with severity of motor symptoms. We identify a common diagnostic imaging signature consisting of (1) a thin splenium of the corpus callosum, (2) an absent or thin anterior commissure, (3) characteristic signal abnormalities of the forceps minor ("ears of the grizzly sign"), and (4) periventricular white matter abnormalities. The presence of 2 or more of these findings has a sensitivity of ∼99% for detecting AP-4-HSP; the combination of all 4 is found in ∼45% of cases. Compared to other HSPs with a thin corpus callosum, the absent anterior commissure appears to be specific to AP-4-HSP. Our analysis identified a subset of patients with polymicrogyria, underscoring the role of AP-4 in early brain development. These patients displayed a higher prevalence of seizures and status epilepticus, many at a young age. DISCUSSION Our findings define the MRI spectrum of AP-4-HSP, providing opportunities for early diagnosis, identification of individuals at risk for complications, and a window into the role of the AP-4 complex in brain development and neurodegeneration.
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Affiliation(s)
- Darius Ebrahimi-Fakhari
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA.
| | - Julian E Alecu
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Marvin Ziegler
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Gregory Geisel
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Catherine Jordan
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Angelica D'Amore
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Rebecca C Yeh
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Shyam K Akula
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Afshin Saffari
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Sanjay P Prabhu
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Mustafa Sahin
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
| | - Edward Yang
- From the Department of Neurology (D.E.-F., J.E.A., M.Z., G.G., C.J., A.D., A.S., M.S.), and Division of Neuroradiology, Department of Radiology (S.P.P., E.Y.), The Manton Center for Orphan Disease Research (D.E.-F., R.C.Y., S.K.A.), Rosamund Stone Zander Translational Neuroscience Center (M.S.), and Division of Genetics and Genomics (D.E.-F., R.C.Y., S.K.A.), Boston Children's Hospital, Harvard Medical School, MA
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Neurodegeneration with Brain Iron Accumulation and a Brief Report of the Disease in Iran. Can J Neurol Sci 2021; 49:338-351. [PMID: 34082843 DOI: 10.1017/cjn.2021.124] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Neurodegeneration with brain iron accumulation (NBIA) is a term used for a group of hereditary neurological disorders with abnormal accumulation of iron in basal ganglia. It is clinically and genetically heterogeneous with symptoms such as dystonia, dysarthria, Parkinsonism, intellectual disability, and spasticity. The age at onset and rate of progression are variable among individuals. Current therapies are exclusively symptomatic and unable to hinder the disease progression. Approximately 16 genes have been identified and affiliated to such condition with different functions such as iron metabolism (only two genes: Ferritin Light Chain (FTL) Ceruloplasmin (CP)), lipid metabolism, lysosomal functions, and autophagy process, but some functions have remained unknown so far. Subgroups of NBIA are categorized based on the mutant genes. Although in the last 10 years, the development of whole-exome sequencing (WES) technology has promoted the identification of disease-causing genes, there seem to be some unknown genes and our knowledge about the molecular aspects and pathogenesis of NBIA is not complete yet. There is currently no comprehensive study about the NBIA in Iran; however, one of the latest discovered NBIA genes, GTP-binding protein 2 (GTPBP2), has been identified in an Iranian family, and there are some patients who have genetically remained unknown.
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Abstract
PURPOSE OF REVIEW The diagnosis of neurodegeneration with brain iron accumulation (NBIA) typically associates various extrapyramidal and pyramidal features, cognitive and psychiatric symptoms with bilateral hypointensities in the globus pallidus on iron-sensitive magnetic resonance images, reflecting the alteration of iron homeostasis in this area. This article details the contribution of MRI in the diagnosis by summarizing and comparing MRI patterns of the various NBIA subtypes. RECENT FINDINGS MRI almost always shows characteristic changes combining iron accumulation and additional neuroimaging abnormalities. Iron-sensitive MRI shows iron deposition in the basal ganglia, particularly in bilateral globus pallidus and substantia nigra. Other regions may be affected depending on the NBIA subtypes including the cerebellum and dentate nucleus, the midbrain, the striatum, the thalamus, and the cortex. Atrophy of the cerebellum, brainstem, corpus callosum and cortex, and white matter changes may be associated and worsen with disease duration. Iron deposition can be quantified using R2 or quantitative susceptibility mapping. SUMMARY Recent MRI advances allow depicting differences between the various subtypes of NBIA, providing a useful analytical framework for clinicians. Standardization of protocols for image acquisition and analysis may help improving the detection of imaging changes associated with NBIA and the quantification of iron deposition.
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A novel loss of function mutation in adaptor protein complex 4, subunit mu-1 causing autosomal recessive spastic paraplegia 50. Neurol Sci 2021; 42:5311-5319. [PMID: 33884525 DOI: 10.1007/s10072-021-05262-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 04/16/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Spastic paraplegia 50 (SPG50) is a rare autosomal recessive inherited disorder characterized by spasticity, severe intellectual disability and delayed or absent speech. Loss-of-function pathogenic mutations in the AP4M1 gene cause SPG50. METHODS In this study, we investigated the clinical and genetic characteristics of a consanguineous family with two male siblings who had infantile hypotonia that progressed to spasticity, paraplegia in one and quadriplegia in the other patient. In addition, the patients also exhibited neurodevelopmental phenotypes including severe intellectual disability, developmental delay, microcephaly and dysmorphism. RESULTS In order to identify the genetic cause, we performed cytogenetics, whole-exome sequencing and Sanger sequencing. Whole-exome sequencing of the affected siblings and unaffected parents revealed a novel exonic frameshift insertion of eight nucleotides (c.341_342insTGAAGTGC) on exon 4 of the AP4M1 gene. CONCLUSION Insertion of these eight nucleotides in the AP4M1 gene is predicted to result in a premature protein product of 132 amino acids. The truncated protein product lacks a signal binding domain which is essential for protein-protein interactions and the transport of cargo proteins to the membrane. Thus, the identified variant is pathogenic and our study expands the knowledge of clinical and genetic features of SPG50.
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13
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Rudenskaya GE, Guseva DM, Mironovich OL, Kadnikova VA, Dadali EL, Komar'kov IF, Novoselova OG, Ryzhkova OP. [AP4-assocated hereditary spastic paraplegias]. Zh Nevrol Psikhiatr Im S S Korsakova 2021; 121:71-78. [PMID: 33728854 DOI: 10.17116/jnevro202112102171] [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: 11/18/2022]
Abstract
OBJECTIVE In the course of studies of spastic paraplegias in Russian patients to detect AP4-associated forms, estimate their proportion in the total SPG group and analyze clinical and molecular characteristics. MATERIAL AND METHODS Five families of Russian ethnicity: four with SPG47, one with SPG51 (4 girls and a boy aged 2.5-9 years) were studied. Clinical and genealogical methods, whole-exome sequencing (WES) and verification by familial Sanger sequencing were used. RESULTS In our total group, including 118 families with 21 different forms, SPG AP4-associated forms accounted for 4.2% owing mainly to SPG47 (3.4%, 5th place in SPG structure; 20% and 2nd place in AE subgroup.) In non-consanguineous, unrelated SPG47 families three patients had identical genotypes: homozygosity for an earlier reported mutation c.1160_1161 delCA (p.Thr387ArgfsTer30) in AP4B1 exon 6; the 4th patient was compound-heterozygous for the same mutation and novel c.1240C>T (p.Gln414Ter) in exon 7. Frequency of c.1160_1161 delCA may be caused by founder effect in Slavic populations though the idea needs additional studies. The SPG51 patient was compound heterozygous for novel AP4E1 mutations c.2604delA (p.Ser868fs) and c.3346A>G (p.Arg1116Gly). Parent's heterozygosity in all cases was confirmed by Sanger sequencing. Phenotypes were typical: early development delay, muscle hypotony transforming into sever spasticity, mental deficiency, microceplaly (in all SPG47 cases), epilepsy (in 3 SPG47 and SPG51 cases), MRI changes, mainly hydrocephalus and/or hypoplasia of corpus callosum (in 3 SPG47 cases) and few extraneural signs. CONCLUSION AP4-associated SPG should be taken into consideration in patients with early-onset severe nervous diseases mimicking non-genetic organic CNS disorders and massive exome sequencing (WES or other variants) should be performed.
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Affiliation(s)
| | - D M Guseva
- Research Centre for Medical Genetics, Moscow, Russia
| | | | - V A Kadnikova
- Research Centre for Medical Genetics, Moscow, Russia
| | - E L Dadali
- Research Centre for Medical Genetics, Moscow, Russia
| | | | | | - O P Ryzhkova
- Research Centre for Medical Genetics, Moscow, Russia
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14
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The role of AP-4 in cargo export from the trans-Golgi network and hereditary spastic paraplegia. Biochem Soc Trans 2020; 48:1877-1888. [PMID: 33084855 DOI: 10.1042/bst20190664] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 09/22/2020] [Accepted: 09/29/2020] [Indexed: 01/02/2023]
Abstract
Heterotetrameric adaptor protein (AP) complexes play key roles in protein sorting and transport vesicle formation in the endomembrane system of eukaryotic cells. One of these complexes, AP-4, was identified over 20 years ago but, up until recently, its function remained unclear. AP-4 associates with the trans-Golgi network (TGN) through interaction with small GTPases of the ARF family and recognizes transmembrane proteins (i.e. cargos) having specific sorting signals in their cytosolic domains. Recent studies identified accessory proteins (tepsin, RUSC2 and the FHF complex) that co-operate with AP-4, and cargos (amyloid precursor protein, ATG9A and SERINC3/5) that are exported from the TGN in an AP-4-dependent manner. Defective export of ATG9A from the TGN in AP-4-deficient cells was shown to reduce ATG9A delivery to pre-autophagosomal structures, impairing autophagosome formation and/or maturation. In addition, mutations in AP-4-subunit genes were found to cause neurological dysfunction in mice and a form of complicated hereditary spastic paraplegia referred to as 'AP-4-deficiency syndrome' in humans. These findings demonstrated that mammalian AP-4 is required for the development and function of the central nervous system, possibly through its role in the sorting of ATG9A for the maintenance of autophagic homeostasis. In this article, we review the properties and functions of AP-4, and discuss how they might explain the clinical features of AP-4 deficiency.
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15
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Mohammad SS, Angiti RR, Biggin A, Morales-Briceño H, Goetti R, Perez-Dueñas B, Gregory A, Hogarth P, Ng J, Papandreou A, Bhattacharya K, Rahman S, Prelog K, Webster RI, Wassmer E, Hayflick S, Livingston J, Kurian M, Chong WK, Dale RC. Magnetic resonance imaging pattern recognition in childhood bilateral basal ganglia disorders. Brain Commun 2020; 2:fcaa178. [PMID: 33629063 PMCID: PMC7891249 DOI: 10.1093/braincomms/fcaa178] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 08/24/2020] [Accepted: 09/18/2020] [Indexed: 12/18/2022] Open
Abstract
Bilateral basal ganglia abnormalities on MRI are observed in a wide variety of childhood disorders. MRI pattern recognition can enable rationalization of investigations and also complement clinical and molecular findings, particularly confirming genomic findings and also enabling new gene discovery. A pattern recognition approach in children with bilateral basal ganglia abnormalities on brain MRI was undertaken in this international multicentre cohort study. Three hundred and five MRI scans belonging to 201 children with 34 different disorders were rated using a standard radiological scoring proforma. In addition, literature review on MRI patterns was undertaken in these 34 disorders and 59 additional disorders reported with bilateral basal ganglia MRI abnormalities. Cluster analysis on first MRI findings from the study cohort grouped them into four clusters: Cluster 1-T2-weighted hyperintensities in the putamen; Cluster 2-T2-weighted hyperintensities or increased MRI susceptibility in the globus pallidus; Cluster 3-T2-weighted hyperintensities in the globus pallidus, brainstem and cerebellum with diffusion restriction; Cluster 4-T1-weighted hyperintensities in the basal ganglia. The 34 diagnostic categories included in this study showed dominant clustering in one of the above four clusters. Inflammatory disorders grouped together in Cluster 1. Mitochondrial and other neurometabolic disorders were distributed across clusters 1, 2 and 3, according to lesions dominantly affecting the striatum (Cluster 1: glutaric aciduria type 1, propionic acidaemia, 3-methylglutaconic aciduria with deafness, encephalopathy and Leigh-like syndrome and thiamine responsive basal ganglia disease associated with SLC19A3), pallidum (Cluster 2: methylmalonic acidaemia, Kearns Sayre syndrome, pyruvate dehydrogenase complex deficiency and succinic semialdehyde dehydrogenase deficiency) or pallidum, brainstem and cerebellum (Cluster 3: vigabatrin toxicity, Krabbe disease). The Cluster 4 pattern was exemplified by distinct T1-weighted hyperintensities in the basal ganglia and other brain regions in genetically determined hypermanganesemia due to SLC39A14 and SLC30A10. Within the clusters, distinctive basal ganglia MRI patterns were noted in acquired disorders such as cerebral palsy due to hypoxic ischaemic encephalopathy in full-term babies, kernicterus and vigabatrin toxicity and in rare genetic disorders such as 3-methylglutaconic aciduria with deafness, encephalopathy and Leigh-like syndrome, thiamine responsive basal ganglia disease, pantothenate kinase-associated neurodegeneration, TUBB4A and hypermanganesemia. Integrated findings from the study cohort and literature review were used to propose a diagnostic algorithm to approach bilateral basal ganglia abnormalities on MRI. After integrating clinical summaries and MRI findings from the literature review, we developed a prototypic decision-making electronic tool to be tested using further cohorts and clinical practice.
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Affiliation(s)
- Shekeeb S Mohammad
- Kids Neuroscience Centre, The Children’s Hospital at Westmead, Westmead, NSW 2145, Australia
- TY Nelson Department of Neurology and Neurosurgery, The Children’s Hospital at Westmead, Sydney, Australia
- The Children’s hospital at Westmead Clinical School, Faculty of Medicine, University of Sydney, Sydney, NSW 2145, Australia
| | - Rajeshwar Reddy Angiti
- Newborn and Peadiatric Emergency Transport Service (NETS), Bankstown, NSW, Australia
- Department of Neonatology, Liverpool Hospital, Liverpool, NSW, Australia
| | - Andrew Biggin
- The Children’s hospital at Westmead Clinical School, Faculty of Medicine, University of Sydney, Sydney, NSW 2145, Australia
| | - Hugo Morales-Briceño
- Movement Disorders Unit, Neurology Department, Westmead Hospital, Westmead, NSW 2145, Australia
| | - Robert Goetti
- Medical Imaging, The Children’s Hospital at Westmead and Sydney Medical School, University of Sydney, Sydney, Australia
| | - Belen Perez-Dueñas
- Paediatric Neurology Department, Hospital Vall d'Hebrón Universitat Autónoma de Barcelona, Vall d'Hebron Research Institute Barcelona, Barcelona, Spain
| | - Allison Gregory
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR, USA
| | - Penelope Hogarth
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR, USA
| | - Joanne Ng
- Molecular Neurosciences, Developmental Neurosciences, UCL-Institute of Child Health, London, UK
| | - Apostolos Papandreou
- Molecular Neurosciences, Developmental Neurosciences, UCL-Institute of Child Health, London, UK
| | - Kaustuv Bhattacharya
- Western Sydney Genomics Program, The Children’s Hospital at Westmead and Sydney Medical School, University of Sydney, Sydney, Australia
| | - Shamima Rahman
- Mitochondrial Research Group, Genetics and Genomic Medicine, Institute of Child Health, University College London and Metabolic Unit, Great Ormond Street Hospital, London, UK
| | - Kristina Prelog
- Medical Imaging, The Children’s Hospital at Westmead and Sydney Medical School, University of Sydney, Sydney, Australia
| | - Richard I Webster
- TY Nelson Department of Neurology and Neurosurgery, The Children’s Hospital at Westmead, Sydney, Australia
| | - Evangeline Wassmer
- Department of Paediatric Neurology, Birmingham Children's Hospital, Birmingham, UK
| | - Susan Hayflick
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR, USA
| | - John Livingston
- Department of Paediatric Neurology, Leeds Teaching Hospitals Trust, University of Leeds, UK
| | - Manju Kurian
- Molecular Neurosciences, Developmental Neurosciences, UCL-Institute of Child Health, London, UK
| | - W Kling Chong
- Department of Radiology, Great Ormond Street Hospital, London, UK
| | - Russell C Dale
- Kids Neuroscience Centre, The Children’s Hospital at Westmead, Westmead, NSW 2145, Australia
- TY Nelson Department of Neurology and Neurosurgery, The Children’s Hospital at Westmead, Sydney, Australia
- The Children’s hospital at Westmead Clinical School, Faculty of Medicine, University of Sydney, Sydney, NSW 2145, Australia
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Hinarejos I, Machuca C, Sancho P, Espinós C. Mitochondrial Dysfunction, Oxidative Stress and Neuroinflammation in Neurodegeneration with Brain Iron Accumulation (NBIA). Antioxidants (Basel) 2020; 9:antiox9101020. [PMID: 33092153 PMCID: PMC7589120 DOI: 10.3390/antiox9101020] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 10/16/2020] [Accepted: 10/17/2020] [Indexed: 12/13/2022] Open
Abstract
The syndromes of neurodegeneration with brain iron accumulation (NBIA) encompass a group of invalidating and progressive rare diseases that share the abnormal accumulation of iron in the basal ganglia. The onset of NBIA disorders ranges from infancy to adulthood. Main clinical signs are related to extrapyramidal features (dystonia, parkinsonism and choreoathetosis), and neuropsychiatric abnormalities. Ten NBIA forms are widely accepted to be caused by mutations in the genes PANK2, PLA2G6, WDR45, C19ORF12, FA2H, ATP13A2, COASY, FTL1, CP, and DCAF17. Nonetheless, many patients remain without a conclusive genetic diagnosis, which shows that there must be additional as yet undiscovered NBIA genes. In line with this, isolated cases of known monogenic disorders, and also, new genetic diseases, which present with abnormal brain iron phenotypes compatible with NBIA, have been described. Several pathways are involved in NBIA syndromes: iron and lipid metabolism, mitochondrial dynamics, and autophagy. However, many neurodegenerative conditions share features such as mitochondrial dysfunction and oxidative stress, given the bioenergetics requirements of neurons. This review aims to describe the existing link between the classical ten NBIA forms by examining their connection with mitochondrial impairment as well as oxidative stress and neuroinflammation.
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Affiliation(s)
- Isabel Hinarejos
- Unit of Genetics and Genomics of Neuromuscular and Neurodegenerative Disorders, Centro de Investigación Príncipe Felipe (CIPF), 46012 Valencia, Spain; (I.H.); (C.M.); (P.S.)
- Rare Diseases Joint Units, CIPF-IIS La Fe & INCLIVA, 46012 Valencia, Spain
| | - Candela Machuca
- Unit of Genetics and Genomics of Neuromuscular and Neurodegenerative Disorders, Centro de Investigación Príncipe Felipe (CIPF), 46012 Valencia, Spain; (I.H.); (C.M.); (P.S.)
- Rare Diseases Joint Units, CIPF-IIS La Fe & INCLIVA, 46012 Valencia, Spain
- Unit of Stem Cells Therapies in Neurodegenerative Diseases, Centro de Investigación Príncipe Felipe (CIPF), 46012 Valencia, Spain
| | - Paula Sancho
- Unit of Genetics and Genomics of Neuromuscular and Neurodegenerative Disorders, Centro de Investigación Príncipe Felipe (CIPF), 46012 Valencia, Spain; (I.H.); (C.M.); (P.S.)
- Rare Diseases Joint Units, CIPF-IIS La Fe & INCLIVA, 46012 Valencia, Spain
| | - Carmen Espinós
- Unit of Genetics and Genomics of Neuromuscular and Neurodegenerative Disorders, Centro de Investigación Príncipe Felipe (CIPF), 46012 Valencia, Spain; (I.H.); (C.M.); (P.S.)
- Rare Diseases Joint Units, CIPF-IIS La Fe & INCLIVA, 46012 Valencia, Spain
- Department of Genetics, University of Valencia, 46100 Valencia, Spain
- Correspondence: ; Tel.: +34-963-289-680
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17
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Ebrahimi-Fakhari D, Teinert J, Behne R, Wimmer M, D'Amore A, Eberhardt K, Brechmann B, Ziegler M, Jensen DM, Nagabhyrava P, Geisel G, Carmody E, Shamshad U, Dies KA, Yuskaitis CJ, Salussolia CL, Ebrahimi-Fakhari D, Pearson TS, Saffari A, Ziegler A, Kölker S, Volkmann J, Wiesener A, Bearden DR, Lakhani S, Segal D, Udwadia-Hegde A, Martinuzzi A, Hirst J, Perlman S, Takiyama Y, Xiromerisiou G, Vill K, Walker WO, Shukla A, Dubey Gupta R, Dahl N, Aksoy A, Verhelst H, Delgado MR, Kremlikova Pourova R, Sadek AA, Elkhateeb NM, Blumkin L, Brea-Fernández AJ, Dacruz-Álvarez D, Smol T, Ghoumid J, Miguel D, Heine C, Schlump JU, Langen H, Baets J, Bulk S, Darvish H, Bakhtiari S, Kruer MC, Lim-Melia E, Aydinli N, Alanay Y, El-Rashidy O, Nampoothiri S, Patel C, Beetz C, Bauer P, Yoon G, Guillot M, Miller SP, Bourinaris T, Houlden H, Robelin L, Anheim M, Alamri AS, Mahmoud AAH, Inaloo S, Habibzadeh P, Faghihi MA, Jansen AC, Brock S, Roubertie A, Darras BT, Agrawal PB, Santorelli FM, Gleeson J, Zaki MS, Sheikh SI, Bennett JT, Sahin M. Defining the clinical, molecular and imaging spectrum of adaptor protein complex 4-associated hereditary spastic paraplegia. Brain 2020; 143:2929-2944. [PMID: 32979048 PMCID: PMC7780481 DOI: 10.1093/brain/awz307] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 07/25/2019] [Accepted: 08/16/2019] [Indexed: 12/21/2022] Open
Abstract
Bi-allelic loss-of-function variants in genes that encode subunits of the adaptor protein complex 4 (AP-4) lead to prototypical yet poorly understood forms of childhood-onset and complex hereditary spastic paraplegia: SPG47 (AP4B1), SPG50 (AP4M1), SPG51 (AP4E1) and SPG52 (AP4S1). Here, we report a detailed cross-sectional analysis of clinical, imaging and molecular data of 156 patients from 101 families. Enrolled patients were of diverse ethnic backgrounds and covered a wide age range (1.0-49.3 years). While the mean age at symptom onset was 0.8 ± 0.6 years [standard deviation (SD), range 0.2-5.0], the mean age at diagnosis was 10.2 ± 8.5 years (SD, range 0.1-46.3). We define a set of core features: early-onset developmental delay with delayed motor milestones and significant speech delay (50% non-verbal); intellectual disability in the moderate to severe range; mild hypotonia in infancy followed by spastic diplegia (mean age: 8.4 ± 5.1 years, SD) and later tetraplegia (mean age: 16.1 ± 9.8 years, SD); postnatal microcephaly (83%); foot deformities (69%); and epilepsy (66%) that is intractable in a subset. At last follow-up, 36% ambulated with assistance (mean age: 8.9 ± 6.4 years, SD) and 54% were wheelchair-dependent (mean age: 13.4 ± 9.8 years, SD). Episodes of stereotypic laughing, possibly consistent with a pseudobulbar affect, were found in 56% of patients. Key features on neuroimaging include a thin corpus callosum (90%), ventriculomegaly (65%) often with colpocephaly, and periventricular white-matter signal abnormalities (68%). Iron deposition and polymicrogyria were found in a subset of patients. AP4B1-associated SPG47 and AP4M1-associated SPG50 accounted for the majority of cases. About two-thirds of patients were born to consanguineous parents, and 82% carried homozygous variants. Over 70 unique variants were present, the majority of which are frameshift or nonsense mutations. To track disease progression across the age spectrum, we defined the relationship between disease severity as measured by several rating scales and disease duration. We found that the presence of epilepsy, which manifested before the age of 3 years in the majority of patients, was associated with worse motor outcomes. Exploring genotype-phenotype correlations, we found that disease severity and major phenotypes were equally distributed among the four subtypes, establishing that SPG47, SPG50, SPG51 and SPG52 share a common phenotype, an 'AP-4 deficiency syndrome'. By delineating the core clinical, imaging, and molecular features of AP-4-associated hereditary spastic paraplegia across the age spectrum our results will facilitate early diagnosis, enable counselling and anticipatory guidance of affected families and help define endpoints for future interventional trials.
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Affiliation(s)
- Darius Ebrahimi-Fakhari
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Julian Teinert
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Child Neurology and Metabolic Medicine, Centre for Paediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Robert Behne
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Miriam Wimmer
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Angelica D'Amore
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Molecular Medicine, IRCCS Fondazione Stella Maris, Pisa, Italy
| | - Kathrin Eberhardt
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Barbara Brechmann
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Marvin Ziegler
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Dana M Jensen
- Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Premsai Nagabhyrava
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Translational Neuroscience Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Gregory Geisel
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Translational Neuroscience Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Erin Carmody
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Translational Neuroscience Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Uzma Shamshad
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Translational Neuroscience Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kira A Dies
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Translational Neuroscience Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Christopher J Yuskaitis
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Catherine L Salussolia
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel Ebrahimi-Fakhari
- Pediatric Neurology, Saarland University Medical Center, Homburg/Saar, Germany
- Department of General Pediatrics, University Children's Hospital Muenster, Muenster, Germany
| | - Toni S Pearson
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Afshin Saffari
- Division of Child Neurology and Metabolic Medicine, Centre for Paediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Andreas Ziegler
- Division of Child Neurology and Metabolic Medicine, Centre for Paediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Stefan Kölker
- Division of Child Neurology and Metabolic Medicine, Centre for Paediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Jens Volkmann
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Antje Wiesener
- Institute of Human Genetics, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - David R Bearden
- Child Neurology, University of Rochester School of Medicine, Rochester, NY, USA
| | - Shenela Lakhani
- Center for Neurogenetics, Weill Cornell Medical College, New York, NY, USA
| | - Devorah Segal
- Center for Neurogenetics, Weill Cornell Medical College, New York, NY, USA
- Division of Child Neurology, Weill Cornell Medicine, New York City, NY, USA
| | - Anaita Udwadia-Hegde
- Department of Pediatric Neurology, Jaslok Hospital and Research Centre, Mumbai, India
| | - Andrea Martinuzzi
- Scientific Institute, IRCCS E. Medea, Unità Operativa Conegliano, Treviso, Italy
| | - Jennifer Hirst
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge, UK
| | - Seth Perlman
- Division of Neurology, Department of Pediatrics, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | | | | | - Katharina Vill
- Pediatric Neurology and Developmental Medicine, Dr. v. Hauner Children's Hospital, Ludwig-Maximilians-University, Munich, Germany
| | - William O Walker
- Department of Pediatrics, Seattle Children's Hospital, University of Washington School of Medicine, Seattle, WA, USA
| | - Anju Shukla
- Department of Medical Genetics, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India
| | | | - Niklas Dahl
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Ayse Aksoy
- Pediatric Neurology, Dr. Sami Ulus Hospital, Ankara, Turkey
| | - Helene Verhelst
- Pediatric Neurology, Ghent University Hospital, Ghent, Belgium
| | - Mauricio R Delgado
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Radka Kremlikova Pourova
- Department of Biology and Medical Genetics, Second Medical Faculty, Charles University and UH Motol, Prague, Czech Republic
| | - Abdelrahim A Sadek
- Pediatric Neurology, Faculty of Medicine, Sohag University, Sohag, Egypt
| | | | - Lubov Blumkin
- Movement Disorders Clinic, Pediatric Neurology Unit, Wolfson Medical Center, Holon, Sackler School of Medicine, Tel-Aviv University, Israel
| | | | - David Dacruz-Álvarez
- Neurología Pediátrica, Complexo Hospitalario Universitario, Santiago de Compostela, Spain
| | - Thomas Smol
- CHU Lille, Institut de Génétique Médicale, RADEME, Lille, France
| | - Jamal Ghoumid
- CHU Lille, Institut de Génétique Médicale, RADEME, Lille, France
| | - Diego Miguel
- Serviço de Genética Médica, Universidade Federal da Bahia, Salvador, Brazil
| | - Constanze Heine
- Institute of Human Genetics, University Hospital Leipzig, Leipzig, Germany
| | | | | | - Jonathan Baets
- Neurogenetics Group and Neuromuscular Reference Center, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium
| | - Saskia Bulk
- Medical Genetics, Centre Hospitalier Universitaire de Liège, Liège, Belgium
| | - Hossein Darvish
- Cancer Research Center and Department of Medical Genetics, Semnan University of Medical Sciences, Semnan, Iran
| | - Somayeh Bakhtiari
- Barrow Neurological Institute, Phoenix Children's Hospital, Phoenix, AZ, USA
| | - Michael C Kruer
- Barrow Neurological Institute, Phoenix Children's Hospital, Phoenix, AZ, USA
| | - Elizabeth Lim-Melia
- Pediatric Medical Genetics, Maria Fareri Children's Hospital, Valhalla, NY, USA
| | - Nur Aydinli
- Pediatric Genetics, Department of Pediatrics, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Yasemin Alanay
- Pediatric Neurology, Istanbul Medical Faculty, Istanbul, Turkey
| | | | | | - Chirag Patel
- Genetic Health Queensland, Royal Brisbane and Women's Hospital, Brisbane, Australia
| | | | | | - Grace Yoon
- Division of Clinical and Metabolic Genetics, Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Mireille Guillot
- Department of Paediatrics, The Hospital for Sick Children and The University of Toronto, Toronto, Canada
| | - Steven P Miller
- Department of Paediatrics, The Hospital for Sick Children and The University of Toronto, Toronto, Canada
| | - Thomas Bourinaris
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Henry Houlden
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Laura Robelin
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Mathieu Anheim
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Abdullah S Alamri
- Pediatric Neurology, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Adel A H Mahmoud
- Pediatrics, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Soroor Inaloo
- Neonatal Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Parham Habibzadeh
- Persian BayanGene Research and Training Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohammad Ali Faghihi
- Persian BayanGene Research and Training Center, Shiraz University of Medical Sciences, Shiraz, Iran
- Center for Therapeutic Innovation and Department of Psychiatry and Behavioral Sciences, University of Miami, Miami, FL, USA
| | - Anna C Jansen
- Pediatric Neurology Unit, Department of Pediatrics, UZ Brussel, Brussels, Belgium
| | - Stefanie Brock
- Pediatric Neurology Unit, Department of Pediatrics, UZ Brussel, Brussels, Belgium
| | | | - Basil T Darras
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Pankaj B Agrawal
- Divisions of Newborn Medicine and Genetics and Genomics, The Manton Center for Orphan Disease Research, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Joseph Gleeson
- Rady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, CA, USA
| | - Maha S Zaki
- Clinical Genetics, Human Genetics and Genome Research Division, National Research Centre, Cairo, Egypt
| | | | - James T Bennett
- Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Mustafa Sahin
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Translational Neuroscience Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
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Beheshtian M, Akhtarkhavari T, Mehvari S, Mohseni M, Fattahi Z, Abedini SS, Arzhangi S, Fadaee M, Jamali P, Najafipour R, Kalscheuer VM, Hu H, Ropers HH, Najmabadi H, Kahrizi K. Comprehensive genotype-phenotype correlation in AP-4 deficiency syndrome; Adding data from a large cohort of Iranian patients. Clin Genet 2020; 99:187-192. [PMID: 32895917 DOI: 10.1111/cge.13845] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 08/21/2020] [Accepted: 09/02/2020] [Indexed: 12/25/2022]
Abstract
Mutations in adaptor protein complex-4 (AP-4) genes have first been identified in 2009, causing a phenotype termed as AP-4 deficiency syndrome. Since then several patients with overlapping phenotypes, comprised of intellectual disability (ID) and spastic tetraplegia have been reported. To delineate the genotype-phenotype correlation of the AP-4 deficiency syndrome, we add the data from 30 affected individuals from 12 out of 640 Iranian families with ID in whom we detected disease-causing variants in AP-4 complex subunits, using next-generation sequencing. Furthermore, by comparing genotype-phenotype findings of those affected individuals with previously reported patients, we further refine the genotype-phenotype correlation in this syndrome. The most frequent reported clinical findings in the 101 cases consist of ID and/or global developmental delay (97%), speech disorders (92.1%), inability to walk (90.1%), spasticity (77.2%), and microcephaly (75.2%). Spastic tetraplegia has been reported in 72.3% of the investigated patients. The major brain imaging findings are abnormal corpus callosum morphology (63.4%) followed by ventriculomegaly (44.5%). Our result might suggest the AP-4 deficiency syndrome as a major differential diagnostic for unknown hereditary neurodegenerative disorders.
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Affiliation(s)
- Maryam Beheshtian
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Tara Akhtarkhavari
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Sepideh Mehvari
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Marzieh Mohseni
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Zohreh Fattahi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Seyedeh Sedigheh Abedini
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Sanaz Arzhangi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Mahsa Fadaee
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Payman Jamali
- Genetic Counseling Center, Shahroud Welfare Organization, Semnan, Iran
| | - Reza Najafipour
- Cellular and Molecular Research Centre, Genetic Department, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Vera M Kalscheuer
- Research Group Development and Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Hao Hu
- Guangzhou Women and Children's Medical Center, Guangzhou, China
| | - Hans-Hilger Ropers
- Research Group Development and Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany.,Institute for Human Genetics, University Medicine, Mainz, Germany
| | - Hossein Najmabadi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.,Kariminejad - Najmabadi Pathology and Genetics Center, Molecular division, Tehran, Islamic Republic of Iran, Tehran, Iran
| | - Kimia Kahrizi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
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Murakami H, Uehara T, Tsurusaki Y, Enomoto Y, Kuroda Y, Aida N, Kosaki K, Kurosawa K. Blended phenotype of AP4E1 deficiency and Angelman syndrome caused by paternal isodisomy of chromosome 15. Brain Dev 2020; 42:289-292. [PMID: 31955925 DOI: 10.1016/j.braindev.2019.12.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 12/13/2019] [Accepted: 12/27/2019] [Indexed: 11/28/2022]
Abstract
Atypical phenotype of an imprinting disease can develop with a recessive homozygous variant due to uniparental isodisomy. We present a girl with severe intellectual disability, developmental delay, distinctive facial features, and other neuropsychiatric features. Trio whole exome sequencing revealed a novel homozygous frameshift variant in AP4E1 [NM_007347.5:c.2412dupT:p.(Gly805Trpfs*8)] and uniparental isodisomy of chromosome 15 [iUPD(15)]. Single nucleotide polymorphism mapping analysis of exome data showed that the homozygous AP4E1 variant was derived from her heterozygous carrier father and unmasked by paternal iUPD(15). Brain magnetic resonance imaging confirmed the brain abnormalities characteristic of AP4 deficiency including the dilated ventricles and hypointensity in the globus pallidus in susceptibility-weighted imaging. This is the first case report of a combination of AP4E1 deficiency and Angelman syndrome. Our patient indicates that whole exome sequencing could uncover an atypical phenotype caused by multiple genetic factors including the uniparental isodisomy.
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Affiliation(s)
- Hiroaki Murakami
- Division of Medical Genetics, Kanagawa Children's Medical Center, Yokohama, Japan.
| | - Tomoko Uehara
- Center for Medical Genetics, Keio University School of Medicine, Tokyo, Japan
| | - Yoshinori Tsurusaki
- Clinical Research Institute, Kanagawa Children's Medical Center, Yokohama, Japan
| | - Yumi Enomoto
- Clinical Research Institute, Kanagawa Children's Medical Center, Yokohama, Japan
| | - Yukiko Kuroda
- Division of Medical Genetics, Kanagawa Children's Medical Center, Yokohama, Japan
| | - Noriko Aida
- Department of Radiology, Kanagawa Children's Medical Center, Yokohama, Japan
| | - Kenjiro Kosaki
- Center for Medical Genetics, Keio University School of Medicine, Tokyo, Japan
| | - Kenji Kurosawa
- Division of Medical Genetics, Kanagawa Children's Medical Center, Yokohama, Japan.
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20
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Behne R, Teinert J, Wimmer M, D’Amore A, Davies AK, Scarrott JM, Eberhardt K, Brechmann B, Chen IPF, Buttermore ED, Barrett L, Dwyer S, Chen T, Hirst J, Wiesener A, Segal D, Martinuzzi A, Duarte ST, Bennett JT, Bourinaris T, Houlden H, Roubertie A, Santorelli FM, Robinson M, Azzouz M, Lipton JO, Borner GHH, Sahin M, Ebrahimi-Fakhari D. Adaptor protein complex 4 deficiency: a paradigm of childhood-onset hereditary spastic paraplegia caused by defective protein trafficking. Hum Mol Genet 2020; 29:320-334. [PMID: 31915823 PMCID: PMC7001721 DOI: 10.1093/hmg/ddz310] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 10/22/2019] [Accepted: 12/05/2019] [Indexed: 12/25/2022] Open
Abstract
Deficiency of the adaptor protein complex 4 (AP-4) leads to childhood-onset hereditary spastic paraplegia (AP-4-HSP): SPG47 (AP4B1), SPG50 (AP4M1), SPG51 (AP4E1) and SPG52 (AP4S1). This study aims to evaluate the impact of loss-of-function variants in AP-4 subunits on intracellular protein trafficking using patient-derived cells. We investigated 15 patient-derived fibroblast lines and generated six lines of induced pluripotent stem cell (iPSC)-derived neurons covering a wide range of AP-4 variants. All patient-derived fibroblasts showed reduced levels of the AP4E1 subunit, a surrogate for levels of the AP-4 complex. The autophagy protein ATG9A accumulated in the trans-Golgi network and was depleted from peripheral compartments. Western blot analysis demonstrated a 3-5-fold increase in ATG9A expression in patient lines. ATG9A was redistributed upon re-expression of AP4B1 arguing that mistrafficking of ATG9A is AP-4-dependent. Examining the downstream effects of ATG9A mislocalization, we found that autophagic flux was intact in patient-derived fibroblasts both under nutrient-rich conditions and when autophagy is stimulated. Mitochondrial metabolism and intracellular iron content remained unchanged. In iPSC-derived cortical neurons from patients with AP4B1-associated SPG47, AP-4 subunit levels were reduced while ATG9A accumulated in the trans-Golgi network. Levels of the autophagy marker LC3-II were reduced, suggesting a neuron-specific alteration in autophagosome turnover. Neurite outgrowth and branching were reduced in AP-4-HSP neurons pointing to a role of AP-4-mediated protein trafficking in neuronal development. Collectively, our results establish ATG9A mislocalization as a key marker of AP-4 deficiency in patient-derived cells, including the first human neuron model of AP-4-HSP, which will aid diagnostic and therapeutic studies.
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Affiliation(s)
- Robert Behne
- Department of Neurology, The F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neurology, University Hospital Würzburg, 97080 Würzburg, Germany
| | - Julian Teinert
- Department of Neurology, The F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Pediatric Neurology and Metabolic Medicine, Center for Child and Adolescent Medicine, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Miriam Wimmer
- Department of Neurology, The F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Angelica D’Amore
- Department of Neurology, The F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Molecular Medicine, IRCCS Fondazione Stella Maris, 56018 Pisa, Italy
| | - Alexandra K Davies
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge CB2 0XY, UK
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany
| | - Joseph M Scarrott
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield S10 2HQ, UK
| | - Kathrin Eberhardt
- Department of Neurology, The F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Barbara Brechmann
- Department of Neurology, The F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Ivy Pin-Fang Chen
- Translational Neuroscience Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Elizabeth D Buttermore
- Translational Neuroscience Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Lee Barrett
- Translational Neuroscience Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Sean Dwyer
- Translational Neuroscience Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Teresa Chen
- Translational Neuroscience Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Jennifer Hirst
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge CB2 0XY, UK
| | - Antje Wiesener
- Institute of Human Genetics, Friedrich-Alexander Universität Erlangen-Nürnberg, 91054 Erlangen, Germany
| | - Devorah Segal
- Division of Pediatric Neurology, Department of Pediatrics, Weill Cornell Medicine, New York City, NY 10021, USA
| | - Andrea Martinuzzi
- Scientific Institute, IRCCS E. Medea, Unità Operativa Conegliano, 31015 Treviso, Italy
| | - Sofia T Duarte
- Department of Pediatric Neurology, Centro Hospitalar de Lisboa Central, 1169-050 Lisbon, Portugal
| | - James T Bennett
- Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | - Thomas Bourinaris
- Department of Molecular Neuroscience, UCL Institute of Neurology, London WC1E 6BT, UK
| | - Henry Houlden
- Department of Molecular Neuroscience, UCL Institute of Neurology, London WC1E 6BT, UK
| | | | | | - Margaret Robinson
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge CB2 0XY, UK
| | - Mimoun Azzouz
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield S10 2HQ, UK
| | - Jonathan O Lipton
- Department of Neurology, The F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Georg H H Borner
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany
| | - Mustafa Sahin
- Department of Neurology, The F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Translational Neuroscience Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Darius Ebrahimi-Fakhari
- Department of Neurology, The F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
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Belgrad J, De Pace R, Fields RD. Autophagy in Myelinating Glia. J Neurosci 2020; 40:256-266. [PMID: 31744863 PMCID: PMC6948934 DOI: 10.1523/jneurosci.1066-19.2019] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 10/17/2019] [Accepted: 11/08/2019] [Indexed: 12/14/2022] Open
Abstract
Autophagy is the cellular process involved in transportation and degradation of membrane, proteins, pathogens, and organelles. This fundamental cellular process is vital in development, plasticity, and response to disease and injury. Compared with neurons, little information is available on autophagy in glia, but it is paramount for glia to perform their critical responses to nervous system disease and injury, including active tissue remodeling and phagocytosis. In myelinating glia, autophagy has expanded roles, particularly in phagocytosis of mature myelin and in generating the vast amounts of membrane proteins and lipids that must be transported to form new myelin. Notably, autophagy plays important roles in removing excess cytoplasm to promote myelin compaction and development of oligodendrocytes, as well as in remyelination by Schwann cells after nerve trauma. This review summarizes the cell biology of autophagy, detailing the major pathways and proteins involved, as well as the roles of autophagy in Schwann cells and oligodendrocytes in development, plasticity, and diseases in which myelin is affected. This includes traumatic brain injury, Alexander's disease, Alzheimer's disease, hypoxia, multiple sclerosis, hereditary spastic paraplegia, and others. Promising areas for future research are highlighted.
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Affiliation(s)
| | - Raffaella De Pace
- Section on Intracellular Protein Trafficking, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland 20892
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22
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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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Neurodegeneration with Brain Iron Accumulation Disorders: Valuable Models Aimed at Understanding the Pathogenesis of Iron Deposition. Pharmaceuticals (Basel) 2019; 12:ph12010027. [PMID: 30744104 PMCID: PMC6469182 DOI: 10.3390/ph12010027] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 01/25/2019] [Accepted: 01/29/2019] [Indexed: 02/07/2023] Open
Abstract
Neurodegeneration with brain iron accumulation (NBIA) is a set of neurodegenerative disorders, which includes very rare monogenetic diseases. They are heterogeneous in regard to the onset and the clinical symptoms, while the have in common a specific brain iron deposition in the region of the basal ganglia that can be visualized by radiological and histopathological examinations. Nowadays, 15 genes have been identified as causative for NBIA, of which only two code for iron-proteins, while all the other causative genes codify for proteins not involved in iron management. Thus, how iron participates to the pathogenetic mechanism of most NBIA remains unclear, essentially for the lack of experimental models that fully recapitulate the human phenotype. In this review we reported the recent data on new models of these disorders aimed at highlight the still scarce knowledge of the pathogenesis of iron deposition.
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24
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Iron Pathophysiology in Neurodegeneration with Brain Iron Accumulation. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1173:153-177. [DOI: 10.1007/978-981-13-9589-5_9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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