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Tian MQ, Chen XX, Li L, Lang CH, Li J, Chen J, Yu XH, Shu XM. [Progressive psychomotor regression for 2.5 years in a boy aged 5 years]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2022; 24:699-704. [PMID: 35762438 PMCID: PMC9250405 DOI: 10.7499/j.issn.1008-8830.2201048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 04/25/2022] [Indexed: 06/15/2023]
Abstract
A boy, aged 5 years, attended the hospital due to progressive psychomotor regression for 2.5 years. Motor function regression was the main manifestation in the early stage, and brain MRI and whole-exome sequencing (WES) of the family showed no abnormalities. After the age of 4 years and 9 months, the boy developed cognitive function regression, and brain MRI showed cerebellar atrophy. The reanalysis of WES results revealed a compound heterozygous mutation, [NM_000520, c.784C>T(p.His262Tyr]), c.1412C>T(p.Pro471Leu)], in the HEXA gene. The enzyme activity detection showed a significant reduction in the level of β-hexosaminidase encoded by this gene. The boy was diagnosed with juvenile Tay-Sachs disease (TSD). TSD has strong clinical heterogeneity, and cerebellar atrophy may be an important clue for the diagnosis of juvenile TSD. The reanalysis of genetic data when appropriate based on disease evolution may improve the positive rate of WES.
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Affiliation(s)
| | - Xiao-Xi Chen
- Department of Pediatrics, Guizhou Children's Hospital/Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou 563003, 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: 46] [Impact Index Per Article: 23.0] [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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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: 37] [Impact Index Per Article: 9.3] [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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Ghusayni R, Richardson JP, Uchitel J, Abdelnour E, McLean M, Prange L, Abrahamsen T, Song A, Petrella JR, Mikati MA. Magnetic resonance imaging volumetric analysis in patients with Alternating hemiplegia of childhood: A pilot study. Eur J Paediatr Neurol 2020; 26:15-19. [PMID: 32115366 DOI: 10.1016/j.ejpn.2020.02.001] [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: 07/30/2019] [Revised: 11/27/2019] [Accepted: 02/03/2020] [Indexed: 02/08/2023]
Abstract
Quantitative MRI is increasingly being used as a biomarker in neurological disorders. Cerebellar atrophy occurs in some Alternating Hemiplegia of Childhood (AHC) patients. However, it is not known if cerebellar atrophy can be a potential biomarker in AHC or if quantitative MRI is a reliable method to address this question. Here we determine the reproducibility of an MRI-volumetrics method to investigate brain volumes in AHC and apply it to a population of 14 consecutive AHC patients (ages 4-11 years). We studied method reproducibility in the first 11 patients and then performed correlation of cerebellar volumes, relative to published normal population means, with age in all 14. We used FreeSurfer 6.0.0 to automatically segment MRI images, then performed manual resegmentation correction by two different observers. No significant differences were observed in any of ten brain regions between the two reviewers: p > .591 and interclass Correlation Coefficient (ICC) ≥0.975 in all comparisons. Additionally, there were no significant differences between the means of the two reviewers and the automatic segmentation values: p ≥ .106 and ICC ≥0.994 in all comparisons. We found a negative correlation between cerebellar volume and age (R = -0.631, p = .037), even though only one patient showed any cerebellar atrophy upon formal readings of the MRIs by neuroradiology. Sample size did not allow us to rule out potential confounding variables. Thus, findings from this cross-sectional study should be considered as exploratory. Our study supports the prospective investigation of quantitative MRI-volumetrics of the cerebellum as a potential biomarker in AHC.
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Affiliation(s)
- Ryan Ghusayni
- Division of Pediatric Neurology, Department of Pediatrics, Duke University Medical Center, T0913 Children's Health Center, DUMC Box 3936, Durham, NC, 27710, USA.
| | - Jordan P Richardson
- Division of Pediatric Neurology, Department of Pediatrics, Duke University Medical Center, T0913 Children's Health Center, DUMC Box 3936, Durham, NC, 27710, USA.
| | - Julie Uchitel
- Division of Pediatric Neurology, Department of Pediatrics, Duke University Medical Center, T0913 Children's Health Center, DUMC Box 3936, Durham, NC, 27710, USA.
| | - Elie Abdelnour
- Division of Pediatric Neurology, Department of Pediatrics, Duke University Medical Center, T0913 Children's Health Center, DUMC Box 3936, Durham, NC, 27710, USA.
| | - Melissa McLean
- Division of Pediatric Neurology, Department of Pediatrics, Duke University Medical Center, T0913 Children's Health Center, DUMC Box 3936, Durham, NC, 27710, USA.
| | - Lyndsey Prange
- Division of Pediatric Neurology, Department of Pediatrics, Duke University Medical Center, T0913 Children's Health Center, DUMC Box 3936, Durham, NC, 27710, USA.
| | - Tavis Abrahamsen
- Department of Statistical Sciences, Trinity College of Arts and Sciences, Duke University, 214 Old Chemistry Bldg, Box 90251, Durham, NC, 27708, USA.
| | - Allen Song
- Center for Cognitive Neuroscience, Duke Institute for Brain Sciences, 308 Research Drive, LSRC M051, Campus Box 91003, Durham, NC, 27708, USA.
| | - Jeffrey R Petrella
- Division of Neuroradiology, Department of Radiology, Duke University Medical Center, Box 3808, Durham, NC, 27710, USA.
| | - Mohamad A Mikati
- Division of Pediatric Neurology, Department of Pediatrics, Duke University Medical Center, T0913 Children's Health Center, DUMC Box 3936, Durham, NC, 27710, USA.
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Guo YP, Tang BS, Guo JF. PLA2G6-Associated Neurodegeneration (PLAN): Review of Clinical Phenotypes and Genotypes. Front Neurol 2018; 9:1100. [PMID: 30619057 PMCID: PMC6305538 DOI: 10.3389/fneur.2018.01100] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Accepted: 12/03/2018] [Indexed: 12/18/2022] Open
Abstract
Phospholipase A2 group VI (PLA2G6)-associated neurodegeneration (PLAN) includes a series of neurodegenerative diseases that result from the mutations in PLA2G6. PLAN has genetic and clinical heterogeneity, with different mutation sites, mutation types and ethnicities and its clinical phenotype is different. The clinical phenotypes and genotypes of PLAN are closely intertwined and vary widely. PLA2G6 encodes a group of VIA calcium-independent phospholipase A2 proteins (iPLA2β), an enzyme involved in lipid metabolism. According to the age of onset and progressive clinical features, PLAN can be classified into the following subtypes: infantile neuroaxonal dystrophy (INAD), atypical neuroaxonal dystrophy (ANAD) and parkinsonian syndrome which contains adult onset dystonia parkinsonism (DP) and autosomal recessive early-onset parkinsonism (AREP). In this review, we present an overview of PLA2G6-associated neurodegeneration in the context of current research.
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Affiliation(s)
- Yu-Pei Guo
- Center for Brain Disorders Research, Capital Medical University and Beijing Institute of Brain Disorders, Beijing, China.,Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Bei-Sha Tang
- Center for Brain Disorders Research, Capital Medical University and Beijing Institute of Brain Disorders, Beijing, China.,Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Center for Medical Genetics, Central South University, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Ji-Feng Guo
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Center for Medical Genetics, Central South University, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
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