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Kimball TN, Tack RW, Chen A, Prapiadou S, Senff JR, Tan BY, Singh SD, van Veluw SJ, Greenberg SM, Rosand J, Anderson CD. Genetics of intracerebral hemorrhage. J Cereb Blood Flow Metab 2025:271678X241310401. [PMID: 39763366 DOI: 10.1177/0271678x241310401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2025]
Abstract
Spontaneous intracerebral hemorrhage(ICH) represents a life-threatening form of stroke, marked by its impact on survival and quality of life. ICH can be categorized from monogenic disorders linked to causal germline variants in ICH-related genes to complex sporadic cases, highlighting the interaction among lifestyle factors, environmental influences, and genetic components in determining risk. Among sporadic ICH, the influence of these factors varies across ICH subtypes, evidenced by heritability rates of up to 73% for lobar ICH versus 34% for non-lobar ICH. This review presents an outline of the genetic landscape of ICH, covering both monogenic and sporadic forms. It highlights associations between ICH risk and genetic variants, including rare and common variants in genes such as COL4A1, COL4A2, APOE, ACE, MTHFR, and PMF1. However, replication has been constrained, and most findings originate from single-candidate gene studies, largely due to ancestry heterogeneity, small sample sizes, and scarce subtype-specific data. To bridge this gap, collaborative efforts like the International Stroke Genetic Consortium have been established. Additionally, the review discusses the emerging role of polygenic risk scores, Mendelian randomization, and the potential of genetic and omics research to elucidate causal pathobiology. Such insights could lead to preventive measures and personalized ICH treatment strategies.
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Affiliation(s)
- Tamara N Kimball
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Reinier Wp Tack
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Anna Chen
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Savvina Prapiadou
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Jasper R Senff
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Benjamin Yq Tan
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Sanjula D Singh
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | | | - Steven M Greenberg
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Jonathan Rosand
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Christopher D Anderson
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
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Burlina AP, Manara R, Gueraldi D. Lysosomal storage diseases. HANDBOOK OF CLINICAL NEUROLOGY 2024; 204:147-172. [PMID: 39322377 DOI: 10.1016/b978-0-323-99209-1.00008-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/27/2024]
Abstract
Lysosomal storage disorders (LSDs) are a group of inherited metabolic diseases caused by dysfunction of the lysosomal system, with subsequent progressive accumulation of macromolecules, activation of inflammatory response, and cell death. Neurologic damage is almost always present, and it is usually degenerative. White matter (WM) involvement may be primary or secondary. Diseases with primary WM involvement are leukodystrophies, demyelinating (Krabbe disease and metachromatic leukodystrophy), and hypomyelinating leukodystrophies (free sialic acid storage disease, fucosidosis, and mucolipidosis type IV). LSDs with secondary WM involvement are classified as leukoencephalopathies and include gangliosidosis, mucopolysaccharidosis (MPS), ceroid neuronal lipofuscinosis, multiple sulfatase deficiency, alpha-mannosidosis, Pompe disease, and Fabry disease. Neurologic manifestations may overlap among LSDs and include developmental delays, motor, cognitive and speech impairments, seizures, visual failure, ataxia, and extrapyramidal signs. Most of LSDs are typically present in early or late infancy, but juvenile and adult forms also exist and are associated with predominantly neuropsychiatric and behavioral symptoms. The outcome of these disorders is generally poor and specific treatments (enzyme replacement therapy, hematopoietic stem cell transplantation, or gene therapy) are only available in a small number of them.
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Affiliation(s)
| | - Renzo Manara
- Neuroradiology Unit, Department of Neurosciences, University Hospital of Padova, Padova, Italy
| | - Daniela Gueraldi
- Division of Inherited Metabolic Diseases, University Hospital of Padova, Padova, Italy
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Liu Y, Yuan C, Chen X, Fang X, Hao J, Zhou M, Sun X, Wu M, Wang Z. Association of Plasma Lipids with White Matter Hyperintensities in Patients with Acute Ischemic Stroke. Int J Gen Med 2023; 16:5405-5415. [PMID: 38021054 PMCID: PMC10676100 DOI: 10.2147/ijgm.s440655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 11/13/2023] [Indexed: 12/01/2023] Open
Abstract
Purpose White matter hyperintensities (WMH) are the common marker of cerebral small vessel disease (CSVD). Dyslipidemia plays a notable role in the pathogenesis of CSVD. However, the relationship between dyslipidemia and WMH is poorly elucidated. This study aims to investigate the association between serum lipid fractions and WMH in patients with acute ischemic stroke (AIS). Patients and Methods A total of 901 patients with AIS were included in this study. The burden of WMH, including deep white matter hyperintensities (DWMH), periventricular white matter hyperintensities (PVWMH), and total WMH load, were evaluated on magnetic resonance imaging (MRI) by the Fazekas scale. All the WMH burden were set as dichotomous variables. Serum levels of triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-c), and high-density lipoprotein cholesterol (HDL-c) were collected. The association of serum lipid fractions with WMH burden was analyzed using univariate and multivariate logistic regression models. Results The average age of the participants was 67.6±11.6 years, and 584 cases (64.8%) were male. About 33.5% (n = 302) patients were smoker, and 23.5% (n = 212) patients had a history of alcohol consumption. The proportion of previous diabetes, ischemic cardiomyopathy and hypertension was 39.0% (n = 351), 21.2% (n = 191) and 75.9% (n = 684), respectively. The average of serum HDL-c, TC, TG, LDL-c levels for all participants were 1.26 ± 0.28 mmol/l, 4.54 ± 1.06 mmol/l, 1.67 ± 1.09 mmol/l, 3.08 ± 0.94 mmol/l. There were no statistical associations between HDL-c, TG, TC, LDL-c and each type of WMH burden (P > 0.05) in multivariate logistic regression analysis. Similar findings were found in subgroup analysis based on gender classification. Conclusion Serum lipid levels were not associated with the presence of any type of WMH in patients with AIS.
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Affiliation(s)
- Yongkang Liu
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Cuiping Yuan
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Xiao Chen
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Xiaokun Fang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Jingru Hao
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Maodong Zhou
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Xin Sun
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Minghua Wu
- Department of Encephalopathy Center, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Zhongqiu Wang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People’s Republic of China
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Palaiodimou L, Papagiannopoulou G, Bakola E, Papadopoulou M, Kokotis P, Moschovos C, Vrettou AR, Kapsia E, Petras D, Anastasakis A, Lionaki S, Vlachopoulos C, Boletis IN, Zompola C, Tsivgoulis G. Impaired cerebral autoregulation in Fabry disease: A case-control study. J Neuroimaging 2023. [PMID: 37147184 DOI: 10.1111/jon.13111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 04/22/2023] [Accepted: 04/26/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND AND PURPOSE Cerebral small vessel disease is a common manifestation among patients with Fabry disease (FD). As a biomarker of cerebral small vessel disease, the prevalence of impaired cerebral autoregulation as assessed by transcranial Doppler (TCD) ultrasonography was evaluated in FD patients and healthy controls. METHODS TCD was performed to assess pulsatility index (PI) and vasomotor reactivity expressed by breath-holding index (BHI) for the middle cerebral arteries of included FD patients and healthy controls. Prevalence of increased PI (>1.2) and decreased BHI (<0.69) and ultrasound indices of cerebral autoregulation were compared in FD patients and controls. The potential association of ultrasound indices of impaired cerebral autoregulation with white matter lesions and leukoencephalopathy on brain MRI in FD patients was also evaluated. RESULTS Demographics and vascular risk factors were similar in 23 FD patients (43% women, mean age: 51 ± 13 years) and 46 healthy controls (43% women, mean age: 51 ± 13 years). The prevalence of increased PI (39%; 95% confidence interval [CI]: 20%-61%), decreased BHI (39%; 95% CI: 20%-61%), and the combination of increased PI and/or decreased BHI (61%; 95% CI: 39%-80%) was significantly (p < .001) higher in FD patients compared to healthy controls (2% [95% CI: 0.1%-12%], 2% [95% CI: 0.1%-12%], and 4% [95% CI: 0.1%-15%], respectively). However, indices of abnormal cerebral autoregulation were not associated independently with white matter hyperintensities and presented a low-to-moderate predictive ability for the discrimination of FD patients with and without white matter hyperintensities. CONCLUSIONS Impaired cerebral autoregulation as assessed by TCD appears to be highly more prevalent among FD patients compared to healthy controls.
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Affiliation(s)
- Lina Palaiodimou
- Second Department of Neurology, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Georgia Papagiannopoulou
- Second Department of Neurology, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Eleni Bakola
- Second Department of Neurology, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Marianna Papadopoulou
- Second Department of Neurology, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiotis Kokotis
- First Department of Neurology, "Eginition" University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Christos Moschovos
- Second Department of Neurology, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Agathi-Rosa Vrettou
- Second Department of Cardiology, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Eleni Kapsia
- Clinic of Nephrology and Renal Transplantation, Laiko General Hospital, Medical School of Athens, National and Kapodistrian University, Athens, Greece
| | - Dimitrios Petras
- Nephrology Department, Hippokration General Hospital, Athens, Greece
| | - Aris Anastasakis
- Unit of Inherited and Rare Cardiovascular Diseases, Onassis Cardiac Surgery Center, Athens, Greece
| | - Sophia Lionaki
- Second Department of Propaedeutic Internal Medicine, Section of Nephrology, "Attikon" University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Ioannis N Boletis
- Clinic of Nephrology and Renal Transplantation, Laiko General Hospital, Medical School of Athens, National and Kapodistrian University, Athens, Greece
| | - Christina Zompola
- Second Department of Neurology, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Georgios Tsivgoulis
- Second Department of Neurology, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
- Department of Neurology, University of Tennessee Health Science Center, Memphis, Tennessee, USA
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5
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Fabry Disease and Central Nervous System Involvement: From Big to Small, from Brain to Synapse. Int J Mol Sci 2023; 24:ijms24065246. [PMID: 36982318 PMCID: PMC10049671 DOI: 10.3390/ijms24065246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/05/2023] [Accepted: 03/07/2023] [Indexed: 03/12/2023] Open
Abstract
Fabry disease (FD) is an X-linked lysosomal storage disorder (LSD) secondary to mutations in the GLA gene that causes dysfunctional activity of lysosomal hydrolase α-galactosidase A and results in the accumulation of globotriaosylceramide (Gb3) and globotriaosylsphingosine (lyso-Gb3). The endothelial accumulation of these substrates results in injury to multiple organs, mainly the kidney, heart, brain and peripheral nervous system. The literature on FD and central nervous system involvement is scarce when focusing on alterations beyond cerebrovascular disease and is nearly absent in regard to synaptic dysfunction. In spite of that, reports have provided evidence for the CNS’ clinical implications in FD, including Parkinson’s disease, neuropsychiatric disorders and executive dysfunction. We aim to review these topics based on the current available scientific literature.
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Gabusi I, Pontillo G, Petracca M, Battocchio M, Bosticardo S, Costabile T, Daducci A, Pane C, Riccio E, Pisani A, Brunetti A, Schiavi S, Cocozza S. Structural disconnection and functional reorganization in Fabry disease: a multimodal MRI study. Brain Commun 2022; 4:fcac187. [PMID: 35912136 PMCID: PMC9327118 DOI: 10.1093/braincomms/fcac187] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 05/17/2022] [Accepted: 07/20/2022] [Indexed: 11/12/2022] Open
Abstract
Abstract
Central nervous system involvement in Fabry disease, a rare systemic X-linked lysosomal storage disorder, is characterized by the presence of heterogeneous but consistent functional and microstructural changes. Nevertheless, knowledge about the degree and extension of macro-scale brain connectivity modifications is to date missing. In this work, we performed connectomic analyses of diffusion and resting-state functional MRI to investigate changes of both structural and functional brain organization in Fabry disease, as well as to explore the relationship between the two and their clinical correlates. In this retrospective cross-sectional study, 46 patients with Fabry disease (28F, 42.2 ± 13.2years) and 49 healthy controls (21F, 42.3 ± 16.3years) were included. All subjects underwent an MRI examination including anatomical, diffusion and resting-state functional sequences. Images were processed to obtain quantitative structural and functional connectomes, where the connections between regions of interest were weighted by the total intra-axonal signal contribution of the corresponding bundle and by the correlation between blood-oxygen level–dependent time series, respectively. We explored between-group differences in terms of both global network properties, expressed with graph measures and specific connected subnetworks, identified using a network-based statistics approach. As exploratory analyses, we also investigated the possible association between cognitive performance and structural and functional connectome modifications at both global and subnetwork level in a subgroup of patients (n = 11). Compared with healthy controls, patients with Fabry disease showed a significantly reduced global efficiency (P = 0.005) and mean strength (P < 0.001) in structural connectomes, together with an increased modularity (P = 0.005) in functional networks. As for the network-based statistics analysis, a subnetwork with decreased structural connectivity in patients with Fabry disease compared with healthy controls emerged, with eight nodes mainly located at the level of frontal or deep grey-matter areas. When probing the relation between altered global network metrics and neuropsychological tests, correlations emerged between the structural and functional disruption with results at verbal and working memory tests, respectively. Furthermore, structural disruption at subnetwork level was associated with worse executive functioning, with a significant moderation effect of functional changes suggesting a compensation mechanism. Taken together, these results further expand the current knowledge about brain involvement in Fabry disease, showing widespread structural disconnection and functional reorganization, primarily sustained by loss in axonal integrity and correlating with cognitive performance.
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Affiliation(s)
- Ilaria Gabusi
- Department of Computer Science, Diffusion Imaging and Connectivity Estimation (DICE) Lab, University of Verona , Verona 37134 , Italy
- Department of Advanced Biomedical Sciences, University “Federico II” , Naples 80131 , Italy
| | - Giuseppe Pontillo
- Department of Advanced Biomedical Sciences, University “Federico II” , Naples 80131 , Italy
- Department of Electrical Engineering and Information Technology (DIETI), University “Federico II” , Naples 80125 , Italy
| | - Maria Petracca
- Department of Human Neuroscience, Sapienza University of Rome , Rome 00189 , Italy
| | - Matteo Battocchio
- Department of Computer Science, Diffusion Imaging and Connectivity Estimation (DICE) Lab, University of Verona , Verona 37134 , Italy
- Department of Computer Science, University of Sherbrooke , Sherbrooke, QC J1K 2R1 , Canada
| | - Sara Bosticardo
- Department of Computer Science, Diffusion Imaging and Connectivity Estimation (DICE) Lab, University of Verona , Verona 37134 , Italy
- Department of Biomedical Engineering, Translational Imaging in Neurology (ThINk), University Hospital Basel and University of Basel , Basel 4001 , Switzerland
| | - Teresa Costabile
- Department of Clinical and Experimental Medicine, Multiple Sclerosis Centre, II Division of Neurology, ‘'Luigi Vanvitelli” University , Naples 80138 , Italy
| | - Alessandro Daducci
- Department of Computer Science, Diffusion Imaging and Connectivity Estimation (DICE) Lab, University of Verona , Verona 37134 , Italy
| | - Chiara Pane
- Department of Neurosciences and Reproductive and Odontostomatological Sciences, University “Federico II” , Naples 80131 , Italy
| | - Eleonora Riccio
- Department of Public Health, Nephrology Unit, University “Federico II” , Naples 80131 , Italy
| | - Antonio Pisani
- Department of Neurosciences and Reproductive and Odontostomatological Sciences, University “Federico II” , Naples 80131 , Italy
| | - Arturo Brunetti
- Department of Advanced Biomedical Sciences, University “Federico II” , Naples 80131 , Italy
| | - Simona Schiavi
- Department of Computer Science, Diffusion Imaging and Connectivity Estimation (DICE) Lab, University of Verona , Verona 37134 , Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa , Genoa 16132 , Italy
| | - Sirio Cocozza
- Department of Advanced Biomedical Sciences, University “Federico II” , Naples 80131 , Italy
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Ferreira Tátá C, Massas M, Pinto F, Caçador N, Silva AL. Fabry Disease: A Atypical Presentation. Cureus 2021; 13:e18708. [PMID: 34790463 PMCID: PMC8582620 DOI: 10.7759/cureus.18708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/12/2021] [Indexed: 11/20/2022] Open
Abstract
Fabry Disease (FD) is a rare X-linked recessive disease caused by mutations in the GLA gene that lead to a decrease or lack of activity of the enzyme alpha galactosyl A. This lysosomal storage disorder results in progressive damage and dysfunction of several organs and, depending on the type of mutation and gender of the patient, and it may have different manifestations. As FD is a multisystem disease with a progressive character and varying severity, the diagnosis can be challenging, especially when it comes to non-classical forms. As this is a hereditary disease, its diagnosis impacts not only the patient but also his family, making an accurate and timely diagnosis even more important. We present the case of a 59-years-old man diagnosed with non-classical FD, with previous neurological and psychiatric complaints, who was admitted to the Emergency Department (ED) with a generalized tonic-clonic seizure that required orotracheal intubation for airway protection and transferred to an Intensive Care Unit (ICU).
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Affiliation(s)
| | - Margarida Massas
- Internal Medicine, Hospital do Espírito Santo de Évora, Évora, PRT
| | - Filipa Pinto
- Internal Medicine, Hospital do Espirito Santo de Évora, Évora, PRT
| | - Nuno Caçador
- Radiology • Neuroradiology, Hospital do Espirito Santo de Évora, Évora, PRT
| | - Ana Luisa Silva
- Internal Medicine, Hospital do Espirito Santo de Évora, Évora, PRT
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8
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Ulivi L, Cosottini M, Migaleddu G, Orlandi G, Giannini N, Siciliano G, Mancuso M. Brain MRI in Monogenic Cerebral Small Vessel Diseases: A Practical Handbook. Curr Mol Med 2021; 22:300-311. [DOI: 10.2174/1566524021666210510164003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 01/28/2021] [Accepted: 02/09/2021] [Indexed: 11/22/2022]
Abstract
:
Monogenic cerebral small vessel diseases are a topic of growing interest, as several genes responsible have been recently described and new sequencing techniques such as Next generation sequencing are available. Brain imaging is a key exam in these diseases. First, since it is often the first exam performed, an MRI is key in selecting patients for genetic testing and for interpreting Next generation sequencing reports. In addition, neuroimaging can be helpful in describing the underlying pathological mechanisms involved in cerebral small vessel disease. With this review, we aim to provide Neurologists and Stroke physicians with an up-to date overview of the current neuroimaging knowledge on monogenic small vessel diseases.
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Affiliation(s)
- Leonardo Ulivi
- Department of Experimental and Clinical Medicine, Neurological Clinic, Pisa University, Via Roma 67, Pisa, Italy
| | - Mirco Cosottini
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Gianmichele Migaleddu
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Giovanni Orlandi
- Department of Experimental and Clinical Medicine, Neurological Clinic, Pisa University, Via Roma 67, Pisa, Italy
| | - Nicola Giannini
- Department of Experimental and Clinical Medicine, Neurological Clinic, Pisa University, Via Roma 67, Pisa, Italy
| | - Gabriele Siciliano
- Department of Experimental and Clinical Medicine, Neurological Clinic, Pisa University, Via Roma 67, Pisa, Italy
| | - Michelangelo Mancuso
- Department of Experimental and Clinical Medicine, Neurological Clinic, Pisa University, Via Roma 67, Pisa, Italy
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9
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Ulivi L, Kanber B, Prados F, Davagnanam I, Merwick A, Chan E, Williams F, Hughes D, Murphy E, Lachmann RH, Wheeler-Kingshott CAMG, Cipolotti L, Werring DJ. White matter integrity correlates with cognition and disease severity in Fabry disease. Brain 2021; 143:3331-3342. [PMID: 33141169 DOI: 10.1093/brain/awaa282] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 06/21/2020] [Accepted: 07/12/2020] [Indexed: 01/13/2023] Open
Abstract
Cerebral white matter pathology is a common CNS manifestation of Fabry disease, visualized as white matter hyperintensities on MRI in 42-81% of patients. Diffusion tensor imaging (DTI) MRI is a sensitive technique to quantify microstructural damage within the white matter with potential value as a disease biomarker. We evaluated the pattern of DTI abnormalities in Fabry disease, and their correlations with cognitive impairment, mood, anxiety, disease severity and plasma lyso-Gb3 levels in 31 patients with genetically proven Fabry disease and 19 age-matched healthy control subjects. We obtained average values of fractional anisotropy and mean diffusivity within the white matter and performed voxelwise analysis with tract-based spatial statistics. Using a standardized neuropsychological test battery, we assessed processing speed, executive function, anxiety, depression and disease severity. The mean age (% male) was 44.1 (45%) for patients with Fabry disease and 37.4 (53%) for the healthy control group. In patients with Fabry disease, compared to healthy controls the mean average white matter fractional anisotropy was lower in [0.423 (standard deviation, SD 0.023) versus 0.446 (SD 0.016), P = 0.002] while mean average white matter mean diffusivity was higher (749 × 10-6 mm2/s (SD 32 × 10-6) versus 720 × 10-6 mm2/s (SD 21 × 10-6), P = 0.004]. Voxelwise statistics showed that the diffusion abnormalities for both fractional anisotropy and mean diffusivity were anatomically widespread. A lesion probability map showed that white matter hyperintensities also had a wide anatomical distribution with a predilection for the posterior centrum semiovale. However, diffusion abnormalities in Fabry disease were not restricted to lesional tissue; compared to healthy controls, the normal appearing white matter in patients with Fabry disease had reduced fractional anisotropy [0.422 (SD 0.022) versus 0.443 (SD 0.017) P = 0.003] and increased mean diffusivity [747 × 10-6 mm2/s (SD 26 × 10-6) versus 723 × 10-6 mm2/s (SD 22 × 10-6), P = 0.008]. Within patients, average white matter fractional anisotropy and white matter lesion volume showed statistically significant correlations with Digit Symbol Coding Test score (r = 0.558, P = 0.001; and r = -0.633, P ≤ 0.001, respectively). Average white matter fractional anisotropy correlated with the overall Mainz Severity Score Index (r = -0.661, P ≤ 0.001), while average white matter mean diffusivity showed a strong correlation with plasma lyso-Gb3 levels (r = 0.559, P = 0.001). Our findings using DTI confirm widespread areas of microstructural white matter disruption in Fabry disease, extending beyond white matter hyperintensities seen on conventional MRI. Moreover, diffusion measures show strong correlations with cognition (processing speed), clinical disease severity and a putative plasma biomarker of disease activity, making them promising quantitative biomarkers for monitoring Fabry disease severity and progression.
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Affiliation(s)
- Leonardo Ulivi
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London WC1B 5EH, UK.,Department of Experimental and Clinical Medicine, Neurological Clinic, Pisa University, Pisa, Italy
| | - Baris Kanber
- Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London WC1B 5EH, UK.,Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, WC1V 6LJ, UK
| | - Ferran Prados
- Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London WC1B 5EH, UK.,Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, WC1V 6LJ, UK.,e-Health Centre, Universitat Oberta de Catalunya, Barcelona, Spain
| | - Indran Davagnanam
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London WC1B 5EH, UK.,Academic Department of Neuroradiology, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, UK
| | - Aine Merwick
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London WC1B 5EH, UK.,Cork University Hospital, University College Cork, Wilton, Cork, Ireland
| | - Edgar Chan
- Department of Neuropsychology, National Hospital for Neurology and Neurosurgery, Queen Square, London WC1N 3BG, UK
| | - Fay Williams
- Department of Neuropsychology, National Hospital for Neurology and Neurosurgery, Queen Square, London WC1N 3BG, UK.,Charles Dent Metabolic Unit, National Hospital for Neurology and Neurosurgery, Queen Square, London WC1N 3BG, UK
| | - Derralynn Hughes
- Lysosomal Storage Disorders Unit, Royal Free Hospital, London NW3 2PF, UK
| | - Elaine Murphy
- Charles Dent Metabolic Unit, National Hospital for Neurology and Neurosurgery, Queen Square, London WC1N 3BG, UK
| | - R H Lachmann
- Charles Dent Metabolic Unit, National Hospital for Neurology and Neurosurgery, Queen Square, London WC1N 3BG, UK
| | - Claudia A M Gandini Wheeler-Kingshott
- Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London WC1B 5EH, UK.,Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy.,Department of Brain and Behavioural Sciences, University of Pavia, Italy
| | - Lisa Cipolotti
- Department of Neuropsychology, National Hospital for Neurology and Neurosurgery, Queen Square, London WC1N 3BG, UK
| | - David J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London WC1B 5EH, UK
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10
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Al-Bachari S, Naish JH, Parker GJM, Emsley HCA, Parkes LM. Blood-Brain Barrier Leakage Is Increased in Parkinson's Disease. Front Physiol 2020; 11:593026. [PMID: 33414722 PMCID: PMC7784911 DOI: 10.3389/fphys.2020.593026] [Citation(s) in RCA: 139] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Accepted: 11/24/2020] [Indexed: 12/21/2022] Open
Abstract
Background Blood–brain barrier (BBB) disruption has been noted in animal models of Parkinson’s disease (PD) and forms the basis of the vascular hypothesis of neurodegeneration, yet clinical studies are lacking. Objective To determine alterations in BBB integrity in PD, with comparison to cerebrovascular disease. Methods Dynamic contrast enhanced magnetic resonance images were collected from 49 PD patients, 15 control subjects with cerebrovascular disease [control positive (CP)] and 31 healthy control subjects [control negative (CN)], with all groups matched for age. Quantitative maps of the contrast agent transfer coefficient across the BBB (Ktrans) and plasma volume (vp) were produced using Patlak analysis. Differences in Ktrans and vp were assessed with voxel-based analysis as well as in regions associated with PD pathophysiology. In addition, the volume of white matter lesions (WMLs) was obtained from T2-weighted fluid attenuation inversion recovery (FLAIR) images. Results Higher Ktrans, reflecting higher BBB leakage, was found in the PD group than in the CN group using voxel-based analysis; differences were most prominent in the posterior white matter regions. Region of interest analysis confirmed Ktrans to be significantly higher in PD than in CN, predominantly driven by differences in the substantia nigra, normal-appearing white matter, WML and the posterior cortex. WML volume was significantly higher in PD compared to CN. Ktrans values and WML volume were similar in PD and CP, suggesting a similar burden of cerebrovascular disease despite lower cardiovascular risk factors. Conclusion These results show BBB disruption in PD.
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Affiliation(s)
- Sarah Al-Bachari
- Lancaster Medical School, Faculty of Health and Medicine, Lancaster University, Lancaster, United Kingdom.,Department of Neurology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, United Kingdom.,Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Josephine H Naish
- Division of Cardiovascular sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.,Bioxydyn Limited, Manchester, United Kingdom
| | - Geoff J M Parker
- Bioxydyn Limited, Manchester, United Kingdom.,Centre for Medical Image Computing, Department of Computer Science and Department of Neuroinflammation, University College London, London, United Kingdom
| | - Hedley C A Emsley
- Lancaster Medical School, Faculty of Health and Medicine, Lancaster University, Lancaster, United Kingdom.,Department of Neurology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, United Kingdom.,Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Laura M Parkes
- Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.,Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Manchester, United Kingdom
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11
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Abstract
PURPOSE OF REVIEW This article reviews current knowledge on epidemiology, risk factors and causes, diagnostic considerations, management, and prognosis of ischemic stroke in young adults (those 55 years old and younger). RECENT FINDINGS The incidence of ischemic stroke in young adults has been increasing since the 1980s, which has occurred in parallel with increasing prevalence of vascular risk factors and substance abuse among the younger population. Young adults have a considerably wider range of risk factors than older patients, including age-specific factors such as pregnancy/puerperium and oral contraceptive use. Behavioral risk factors such as low physical activity, excess alcohol consumption, and smoking are factors as well. More than 150 identified causes of early-onset ischemic stroke exist, including rare monogenic disorders. Several recent advances have been made in diagnosis and management of stroke in young adults, including molecular characterization of monogenic vasculitis due to deficiency of adenosine deaminase 2 and transcatheter closure of patent foramen ovale for secondary prevention. Compared with the background population of the same age and sex, long-term mortality in patients remains fourfold higher with cardiovascular causes underlying most of the deaths. The cumulative rate of recurrent stroke extends up to 15% at 10 years. Patients with atherosclerosis, high-risk sources of cardioembolism, and small vessel disease underlying their stroke seem to have the worst prognosis regarding survival and recurrent vascular events. Young stroke survivors also often have other adverse outcomes in the long term, including epilepsy, pain, cognitive problems, and depression. SUMMARY Systematic identification of risk factors and causes and the motivation of patients for long-term prevention and lifestyle changes are of utmost importance to improve the prognosis of early-onset ischemic stroke.
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12
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Körver S, Longo MGF, Lima MR, Hollak CEM, El Sayed M, van Schaik IN, Vedolin L, Dijkgraaf MGW, Langeveld M. Determinants of cerebral radiological progression in Fabry disease. J Neurol Neurosurg Psychiatry 2020; 91:756-763. [PMID: 32317398 DOI: 10.1136/jnnp-2019-322268] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 03/13/2020] [Accepted: 03/17/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND AND AIM It is unclear which patients with Fabry disease (FD) are at risk for progression of white matter lesions (WMLs) and brain infarctions and whether enzyme replacement therapy (ERT) changes this risk. The aim of this study was to determine the effect of ERT and clinical characteristics on progression of WMLs and infarctions on MRI in patients with FD. METHODS MRIs were assessed for WMLs (Fazekas scale), infarctions and basilar artery diameter (BAD). The effect of clinical characteristics (renal and cardiac involvement, cardiovascular risk factors, cardiac complications, BAD) and ERT on WML and infarction progression was evaluated using mixed models. RESULTS One hundred forty-nine patients were included (median age: 39 years, 38% men, 79% classical phenotype). Median follow-up time was 7 years (range: 0-13 years) with a median number of MRIs per patient of 5 (range: 1-14), resulting in a total of 852 scans. Variables independently associated with WML and infarction progression were age, male sex and a classical phenotype. Progression of WMLs and infarctions was not affected by adding ERT to the model, neither for the whole group, nor for early treated patients. Progression was highly variable among patients which could not be explained by other known variables such as hypertension, cholesterol, atrial fibrillation and changes in kidney function, left ventricular mass or BAD. CONCLUSION Progression of WMLs and cerebral infarctions in FD is mainly related to age, sex and phenotype. Additional effects of established cardiovascular risk factors, organ involvement and treatment with ERT are probably small to negligible.
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Affiliation(s)
- Simon Körver
- Endocrinology and Metabolism, Amsterdam UMC-Locatie AMC, Amsterdam, The Netherlands
| | - Maria G F Longo
- Department of Radiology, Massachusetts General Hospital Institute for Patient Care, Boston, Massachusetts, USA
| | - Marjana R Lima
- Department of Radiology, Hospital Moinhos de Vento, Porto Alegre, RS, Brazil
| | - Carla E M Hollak
- Endocrinology and Metabolism, Amsterdam UMC-Locatie AMC, Amsterdam, The Netherlands
| | - Mohamed El Sayed
- Endocrinology and Metabolism, Amsterdam UMC-Locatie AMC, Amsterdam, The Netherlands
| | - Ivo N van Schaik
- Department of Neurology, Amsterdam UMC-Locatie AMC, Amsterdam, North Holland, The Netherlands.,Spaarne Gasthuis, Haarlem, Noord-Holland, The Netherlands
| | - Leonardo Vedolin
- Imaging Director, Diagnosticos da America SA, Barueri, São Paulo, Brazil
| | - Marcel G W Dijkgraaf
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam UMC-Locatie AMC, Amsterdam, North Holland, The Netherlands
| | - Mirjam Langeveld
- Endocrinology and Metabolism, Amsterdam UMC-Locatie AMC, Amsterdam, The Netherlands
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13
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Maegawa GH. Lysosomal Leukodystrophies Lysosomal Storage Diseases Associated With White Matter Abnormalities. J Child Neurol 2019; 34:339-358. [PMID: 30757954 PMCID: PMC6459700 DOI: 10.1177/0883073819828587] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The leukodystrophies are a group of genetic metabolic diseases characterized by an abnormal development or progressive degeneration of the myelin sheath. The myelin is a complex sheath composed of several macromolecules covering axons as an insulator. Each of the leukodystrophies is caused by mutations in genes encoding enzymes that are involved in myelin production and maintenance. The lysosomal storage diseases are inborn disorders of compartmentalized cellular organelles with broad clinical manifestations secondary to the progressive accumulation of undegraded macromolecules within lysosomes and related organelles. The more than 60 different lysosomal storage diseases are rare diseases; however, collectively, the incidence of lysosomal storage diseases ranges just over 1 in 2500 live births. The majority of lysosomal storage diseases are associated with neurologic manifestations including developmental delay, seizures, acroparesthesia, motor weakness, and extrapyramidal signs. These inborn organelle disorders show wide clinical variability affecting individuals from all age groups. In addition, several of neurologic, also known as neuronopathic, lysosomal storage diseases are associated with some level of white matter disease, which often triggers the diagnostic investigation. Most lysosomal storage diseases are autosomal recessively inherited and few are X-linked, with females being at risk of presenting with mild, but clinically relevant neurologic manifestations. Biochemical assays are the basis of the diagnosis and are usually confirmed by molecular genetic testing. Novel therapies have emerged. However, most affected patients with lysosomal storage diseases have only supportive management to rely on. A better understanding of the mechanisms resulting in the leukodystrophy will certainly result in innovative and efficacious disease-modifying therapies.
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Affiliation(s)
- Gustavo H.B. Maegawa
- University of Florida, Department of Pediatrics/Genetics
& Metabolism, Gainesville, FL 32608, USA
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