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Paulet A, Bennett-Ness C, Ageorges F, Trost D, Green A, Goudie D, Jewell R, Kraatari-Tiri M, Piard J, Coubes C, Lam W, Lynch SA, Groeschel S, Ramond F, Fluss J, Fagerberg C, Brasch Andersen C, Varvagiannis K, Kleefstra T, Gérard B, Fradin M, Vitobello A, Tenconi R, Denommé-Pichon AS, Vincent-Devulder A, Haack T, Marsh JA, Laulund LW, Grimmel M, Riess A, de Boer E, Padilla-Lopez S, Bakhtiari S, Ostendorf A, Zweier C, Smol T, Willems M, Faivre L, Scala M, Striano P, Bagnasco I, Koboldt D, Iascone M, Suerink M, Kruer MC, Levy J, Verloes A, Abbott CM, Ruaud L. Correction: Expansion of the neurodevelopmental phenotype of individuals with EEF1A2 variants and genotype-phenotype study. Eur J Hum Genet 2024:10.1038/s41431-024-01606-x. [PMID: 38565641 DOI: 10.1038/s41431-024-01606-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024] Open
Affiliation(s)
- Alix Paulet
- Département de Génétique, Hôpital Robert-Debré, Paris, France.
| | - Cavan Bennett-Ness
- Centre for Genomic and Experimental Medicine and Simons Initiative for the Developing Brain, Institute of Genetics and Cancer, Edinburgh, Scotland, UK
| | | | | | - Andrew Green
- UCD School of Medicine and Medical Science Consultant in Clinical Genetics, Dublin, Ireland
| | - David Goudie
- Regional Genetics Service, NHS Tayside, Dundee, Scotland, UK
| | - Rosalyn Jewell
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Leeds, England, UK
| | - Minna Kraatari-Tiri
- Department of Clinical Genetics, Research unit of Clinical Medicine, Medical Research Center Oulu, Oulu, Finland
- Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Juliette Piard
- Centre de Génétique Humaine, CHU Besançon, Besançon, France
| | - Christine Coubes
- Service de Génétique Médicale, CHU de Montpellier, Montpellier, France
| | - Wayne Lam
- South-East of Scotland Clinical Genetics Service, General Hospital, Edinburgh, Scotland, UK
| | - Sally Ann Lynch
- Clinical Genetics, Children's Health Ireland, Dublin, Ireland
| | - Samuel Groeschel
- Department of Neuropediatrics, University Children's Hospital, Tuebingen, Germany
| | - Francis Ramond
- Service de Génétique, CHU Saint-Etienne - Hôpital Nord, Saint-Etienne, France
| | - Joël Fluss
- University Hospitals of Geneva, Geneva, Switzerland
| | - Christina Fagerberg
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | | | | | - Tjitske Kleefstra
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Center of Excellence for Neuropsychiatry, Vincent van Gogh Institute for Psychiatry, Venray, The Netherlands
| | | | - Mélanie Fradin
- Service de Génétique Médicale, Hôpital Sud, CHU de Rennes, Rennes, France
| | - Antonio Vitobello
- UMR-Inserm, Génétique des Anomalies du développement, Université de Bourgogne Franche-Comté, Dijon, France
| | - Romano Tenconi
- Servizio di Genetica Medica, Dipartimento di Pediatra, Padova, Italia
| | - Anne-Sophie Denommé-Pichon
- Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France
- UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France
| | | | - Tobias Haack
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Joseph A Marsh
- MRC Human Genetics Unit, Western General Hospital, University of Edinburgh, Edinburgh, Scotland, UK
| | | | - Mona Grimmel
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Angelika Riess
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Elke de Boer
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Sergio Padilla-Lopez
- Pediatric Movement Disorders Program, Division of Pediatric Neurology, Barrow Neurological Institute, Phoenix Children's Hospital, Phoenix, AZ, USA
| | - Somayeh Bakhtiari
- Pediatric Movement Disorders Program, Division of Pediatric Neurology, Barrow Neurological Institute, Phoenix Children's Hospital, Phoenix, AZ, USA
| | - Adam Ostendorf
- Steve and Cindy Rasmussen Institute for Genomic Medicine Nationwide Children's Hospital, Colombus, OH, USA
- Department of Pediatrics, The Ohio State University College of Medicine, Colombus, OH, USA
| | - Christiane Zweier
- Department of Human Genetics, Inselspital Bern, University of Bern, 3010, Bern, Switzerland
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - Thomas Smol
- University of Lille, EA7364-RADEME, Medical Genetics Institute, Chu Lille, Lille, France
| | - Marjolaine Willems
- Medical Genetic Department for Rare Diseases and Personalized Medicine, Reference Center AD SOOR, AnDDI-RARE, Groupe DI, Inserm U1298, INM, Montpellier University, Montpellier, France
- Centre Hospitalier Universitaire de Montpellier, Montpellier, France
| | - Laurence Faivre
- UMR1231 GAD, Inserm, Université de Bourgogne-Franche Comté, Dijon, France
- Centre de Référence Maladies Rares « Anomalies du développement et syndromes malformatifs », Centre de Génétique, FHU-TRANSLAD et Institut GIMI, CHU dijon, Bourgogne, Dijon, France
| | - Marcello Scala
- Pediatric Neurology and Muscular Diseases Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
| | - Pasquale Striano
- Pediatric Neurology and Muscular Diseases Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
| | - Irene Bagnasco
- Division of Child Neuropsychiatry, Martini Hospital, Torino, Italy
| | - Daniel Koboldt
- Steve and Cindy Rasmussen Institute for Genomic Medicine Nationwide Children's Hospital, Colombus, OH, USA
| | | | - Manon Suerink
- Department of Clinical Genetics, Leiden University Medical Centre, Leiden, The Netherlands
| | - Michael C Kruer
- Pediatric Movement Disorders Program, Division of Pediatric Neurology, Barrow Neurological Institute, Phoenix Children's Hospital, Phoenix, AZ, USA
| | - Jonathan Levy
- Département de Génétique, Hôpital Robert-Debré, Paris, France
| | - Alain Verloes
- Département de Génétique, Hôpital Robert-Debré, Paris, France
| | - Catherine M Abbott
- Centre for Genomic and Experimental Medicine and Simons Initiative for the Developing Brain, Institute of Genetics and Cancer, Edinburgh, Scotland, UK
| | - Lyse Ruaud
- Département de Génétique, Hôpital Robert-Debré, Paris, France
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Laugwitz L, Schoenmakers DH, Adang LA, Beck-Woedl S, Bergner C, Bernard G, Bley A, Boyer A, Calbi V, Dekker H, Eichler F, Eklund E, Fumagalli F, Gavazzi F, Grønborg SW, van Hasselt P, Langeveld M, Lindemans C, Mochel F, Oberg A, Ram D, Saunier-Vivar E, Schöls L, Scholz M, Sevin C, Zerem A, Wolf NI, Groeschel S. Newborn screening in metachromatic leukodystrophy - European consensus-based recommendations on clinical management. Eur J Paediatr Neurol 2024; 49:141-154. [PMID: 38554683 DOI: 10.1016/j.ejpn.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 02/29/2024] [Accepted: 03/04/2024] [Indexed: 04/02/2024]
Abstract
INTRODUCTION Metachromatic leukodystrophy (MLD) is a rare autosomal recessive lysosomal storage disorder resulting from arylsulfatase A enzyme deficiency, leading to toxic sulfatide accumulation. As a result affected individuals exhibit progressive neurodegeneration. Treatments such as hematopoietic stem cell transplantation (HSCT) and gene therapy are effective when administered pre-symptomatically. Newborn screening (NBS) for MLD has recently been shown to be technically feasible and is indicated because of available treatment options. However, there is a lack of guidance on how to monitor and manage identified cases. This study aims to establish consensus among international experts in MLD and patient advocates on clinical management for NBS-identified MLD cases. METHODS A real-time Delphi procedure using eDELPHI software with 22 experts in MLD was performed. Questions, based on a literature review and workshops, were answered during a seven-week period. Three levels of consensus were defined: A) 100%, B) 75-99%, and C) 50-74% or >75% but >25% neutral votes. Recommendations were categorized by agreement level, from strongly recommended to suggested. Patient advocates participated in discussions and were involved in the final consensus. RESULTS The study presents 57 statements guiding clinical management of NBS-identified MLD patients. Key recommendations include timely communication by MLD experts with identified families, treating early-onset MLD with gene therapy and late-onset MLD with HSCT, as well as pre-treatment monitoring schemes. Specific knowledge gaps were identified, urging prioritized research for future evidence-based guidelines. DISCUSSION Consensus-based recommendations for NBS in MLD will enhance harmonized management and facilitate integration in national screening programs. Structured data collection and monitoring of screening programs are crucial for evidence generation and future guideline development. Involving patient representatives in the development of recommendations seems essential for NBS programs.
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Affiliation(s)
- Lucia Laugwitz
- Neuropediatrics, General Pediatrics, Diabetology, Endocrinology and Social Pediatrics, University of Tuebingen, University Hospital Tübingen, 72016, Tübingen, Germany; Institute for Medical Genetics and Applied Genomics, University of Tübingen, 72070, Tübingen, Germany.
| | - Daphne H Schoenmakers
- Department of Child Neurology, Emma's Children's Hospital, Amsterdam UMC Location Vrije Universiteit, Amsterdam, the Netherlands; Amsterdam Leukodystrophy Center, Amsterdam Neuroscience, Cellular & Molecular Mechanisms, Amsterdam, the Netherlands; Medicine for Society, Platform at Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
| | - Laura A Adang
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Stefanie Beck-Woedl
- Institute for Medical Genetics and Applied Genomics, University of Tübingen, 72070, Tübingen, Germany
| | - Caroline Bergner
- Leukodystrophy Center, Departement of Neurology, University Hospital Leipzig, Germany
| | - Geneviève Bernard
- Departments of Neurology and Neurosurgery, Pediatrics and Human Genetics, McGill University, Montreal, Canada; Department Specialized Medicine, Division of Medical Genetics, McGill University Health Center, Montreal, Canada; Child Health and Human Development Program, Research Institute of the McGill University Health Center, Montreal, Canada
| | | | | | - Valeria Calbi
- Pediatric Immuno-Hematology Unit, Ospedale San Raffaele Milan, Italy; San Raffaele Telethon Institute for Gene Therapy (SR-TIGET), Milan, Italy
| | - Hanka Dekker
- Dutch Association for Inherited Metabolic Diseases (VKS), the Netherlands
| | | | - Erik Eklund
- Pediatrics, Clinical Sciences, Lund University, Sweden
| | - Francesca Fumagalli
- Pediatric Immuno-Hematology Unit, Ospedale San Raffaele Milan, Italy; San Raffaele Telethon Institute for Gene Therapy (SR-TIGET), Milan, Italy; Unit of Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Francesco Gavazzi
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Sabine W Grønborg
- Center for Inherited Metabolic Diseases, Department of Pediatrics and Adolescent Medicine and Department of Clinical Genetics, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Peter van Hasselt
- Department of Metabolic Diseases, University Medical Center Utrecht, the Netherlands
| | - Mirjam Langeveld
- Department of Endocrinology and Metabolism, Amsterdam UMC, Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Research Institute, University of Amsterdam, Amsterdam, the Netherlands
| | - Caroline Lindemans
- Department of Pediatric Hematopoietic Stem Cell Transplantation, UMC Utrecht and Princess Maxima Center, the Netherlands
| | - Fanny Mochel
- Reference Center for Adult Leukodystrophy, Department of Medical Genetics, Sorbonne University, Paris Brain Institute, La Pitié-Salpêtrière University Hospital, Paris, France
| | - Andreas Oberg
- Norwegian National Unit for Newborn Screening, Division of Pediatric and Adolescent Medicine, Oslo University Hospital, Norway
| | - Dipak Ram
- Department of Paediatric Neurology, Royal Manchester Children's Hospital, Manchester, UK
| | | | - Ludger Schöls
- Department of Neurology and Hertie-Institute for Clinical Brain Research, German Center of Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | | | | | - Ayelet Zerem
- Pediatric Neurology Institute, Leukodystrophy Center, Dana-Dwek Children's Hospital, Tel Aviv Sourasky Medical Center, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Nicole I Wolf
- Department of Child Neurology, Emma's Children's Hospital, Amsterdam UMC Location Vrije Universiteit, Amsterdam, the Netherlands; Amsterdam Leukodystrophy Center, Amsterdam Neuroscience, Cellular & Molecular Mechanisms, Amsterdam, the Netherlands
| | - Samuel Groeschel
- Neuropediatrics, General Pediatrics, Diabetology, Endocrinology and Social Pediatrics, University of Tuebingen, University Hospital Tübingen, 72016, Tübingen, Germany
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Paulet A, Bennett-Ness C, Ageorges F, Trost D, Green A, Goudie D, Jewell R, Kraatari-Tiri M, Piard J, Coubes C, Lam W, Lynch SA, Groeschel S, Ramond F, Fluss J, Fagerberg C, Brasch Andersen C, Varvagiannis K, Kleefstra T, Gérard B, Fradin M, Vitobello A, Tenconi R, Denommé-Pichon AS, Vincent-Devulder A, Haack T, Marsh JA, Laulund LW, Grimmel M, Riess A, de Boer E, Padilla-Lopez S, Bakhtiari S, Ostendorf A, Zweier C, Smol T, Willems M, Faivre L, Scala M, Striano P, Bagnasco I, Koboldt D, Iascone M, Suerink M, Kruer MC, Levy J, Verloes A, Abbott CM, Ruaud L. Expansion of the neurodevelopmental phenotype of individuals with EEF1A2 variants and genotype-phenotype study. Eur J Hum Genet 2024:10.1038/s41431-024-01560-8. [PMID: 38355961 DOI: 10.1038/s41431-024-01560-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 01/10/2024] [Accepted: 02/01/2024] [Indexed: 02/16/2024] Open
Abstract
Translation elongation factor eEF1A2 constitutes the alpha subunit of the elongation factor-1 complex, responsible for the enzymatic binding of aminoacyl-tRNA to the ribosome. Since 2012, 21 pathogenic missense variants affecting EEF1A2 have been described in 42 individuals with a severe neurodevelopmental phenotype including epileptic encephalopathy and moderate to profound intellectual disability (ID), with neurological regression in some patients. Through international collaborative call, we collected 26 patients with EEF1A2 variants and compared them to the literature. Our cohort shows a significantly milder phenotype. 83% of the patients are walking (vs. 29% in the literature), and 84% of the patients have language skills (vs. 15%). Three of our patients do not have ID. Epilepsy is present in 63% (vs. 93%). Neurological examination shows a less severe phenotype with significantly less hypotonia (58% vs. 96%), and pyramidal signs (24% vs. 68%). Cognitive regression was noted in 4% (vs. 56% in the literature). Among individuals over 10 years, 56% disclosed neurocognitive regression, with a mean age of onset at 2 years. We describe 8 novel missense variants of EEF1A2. Modeling of the different amino-acid sites shows that the variants associated with a severe phenotype, and the majority of those associated with a moderate phenotype, cluster within the switch II region of the protein and thus may affect GTP exchange. In contrast, variants associated with milder phenotypes may impact secondary functions such as actin binding. We report the largest cohort of individuals with EEF1A2 variants thus far, allowing us to expand the phenotype spectrum and reveal genotype-phenotype correlations.
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Affiliation(s)
- Alix Paulet
- Département de Génétique, Hôpital Robert-Debré, Paris, France.
| | - Cavan Bennett-Ness
- Centre for Genomic and Experimental Medicine and Simons Initiative for the Developing Brain, Institute of Genetics and Cancer, Edinburgh, Scotland, UK
| | | | | | - Andrew Green
- UCD School of Medicine and Medical Science Consultant in Clinical Genetics, Dublin, Ireland
| | - David Goudie
- Regional Genetics Service, NHS Tayside, Dundee, Scotland, UK
| | - Rosalyn Jewell
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Leeds, England, UK
| | - Minna Kraatari-Tiri
- Department of Clinical Genetics, Research unit of Clinical Medicine, Medical Research Center Oulu, Oulu, Finland
- Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Juliette Piard
- Centre de Génétique Humaine, CHU Besançon, Besançon, France
| | - Christine Coubes
- Service de Génétique Médicale, CHU de Montpellier, Montpellier, France
| | - Wayne Lam
- South-East of Scotland Clinical Genetics Service, General Hospital, Edinburgh, Scotland, UK
| | - Sally Ann Lynch
- Clinical Genetics, Children's Health Ireland, Dublin, Ireland
| | - Samuel Groeschel
- Department of Neuropediatrics, University Children's Hospital, Tuebingen, Germany
| | - Francis Ramond
- Service de Génétique, CHU Saint-Etienne - Hôpital Nord, Saint-Etienne, France
| | - Joël Fluss
- University Hospitals of Geneva, Geneva, Switzerland
| | - Christina Fagerberg
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | | | | | - Tjitske Kleefstra
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Center of Excellence for Neuropsychiatry, Vincent van Gogh Institute for Psychiatry, Venray, The Netherlands
| | | | - Mélanie Fradin
- Service de Génétique Médicale, Hôpital Sud, CHU de Rennes, Rennes, France
| | - Antonio Vitobello
- UMR-Inserm, Génétique des Anomalies du développement, Université de Bourgogne Franche-Comté, Dijon, France
| | - Romano Tenconi
- Servizio di Genetica Medica, Dipartimento di Pediatra, Padova, Italia
| | - Anne-Sophie Denommé-Pichon
- Unité Fonctionnelle Innovation en Diagnostic génomique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France
- UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France
| | | | - Tobias Haack
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Joseph A Marsh
- MRC Human Genetics Unit, Western General Hospital, University of Edinburgh, Edinburgh, Scotland, UK
| | | | - Mona Grimmel
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Angelika Riess
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Elke de Boer
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Sergio Padilla-Lopez
- Pediatric Movement Disorders Program, Division of Pediatric Neurology, Barrow Neurological Institute, Phoenix Children's Hospital, Phoenix, AZ, USA
| | - Somayeh Bakhtiari
- Pediatric Movement Disorders Program, Division of Pediatric Neurology, Barrow Neurological Institute, Phoenix Children's Hospital, Phoenix, AZ, USA
| | - Adam Ostendorf
- Steve and Cindy Rasmussen Institute for Genomic Medicine Nationwide Children's Hospital, Colombus, Ohio, USA
- Department of Pediatrics, The Ohio State University College of Medicine, Colombus, USA
| | - Christiane Zweier
- Department of Human Genetics, Inselspital Bern, University of Bern, 3010, Bern, Switzerland
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - Thomas Smol
- University of Lille, EA7364-RADEME, Medical Genetics Institute, Chu Lille, Lille, France
| | - Marjolaine Willems
- Medical Genetic Department for Rare Diseases and Personalized Medicine, Reference Center AD SOOR, AnDDI-RARE, Groupe DI, Inserm U1298, INM, Montpellier University, Montpellier, France
- Centre Hospitalier Universitaire de Montpellier, Montpellier, France
| | - Laurence Faivre
- UMR1231 GAD, Inserm, Université de Bourgogne-Franche Comté, Dijon, France
- Centre de Référence Maladies Rares « Anomalies du développement et syndromes malformatifs », Centre de Génétique, FHU-TRANSLAD et Institut GIMI, CHU dijon, Bourgogne, Dijon, France
| | - Marcello Scala
- Pediatric Neurology and Muscular Diseases Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
| | - Pasquale Striano
- Pediatric Neurology and Muscular Diseases Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
| | - Irene Bagnasco
- Division of Child Neuropsychiatry, Martini Hospital, Torino, Italy
| | - Daniel Koboldt
- Steve and Cindy Rasmussen Institute for Genomic Medicine Nationwide Children's Hospital, Colombus, Ohio, USA
| | | | - Manon Suerink
- Department of Clinical Genetics, Leiden University Medical Centre, Leiden, the Netherlands
| | - Michael C Kruer
- Pediatric Movement Disorders Program, Division of Pediatric Neurology, Barrow Neurological Institute, Phoenix Children's Hospital, Phoenix, AZ, USA
| | - Jonathan Levy
- Département de Génétique, Hôpital Robert-Debré, Paris, France
| | - Alain Verloes
- Département de Génétique, Hôpital Robert-Debré, Paris, France
| | - Catherine M Abbott
- Centre for Genomic and Experimental Medicine and Simons Initiative for the Developing Brain, Institute of Genetics and Cancer, Edinburgh, Scotland, UK
| | - Lyse Ruaud
- Département de Génétique, Hôpital Robert-Debré, Paris, France
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4
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Schoenmakers DH, Mochel F, Adang LA, Boelens JJ, Calbi V, Eklund EA, Grønborg SW, Fumagalli F, Groeschel S, Lindemans C, Sevin C, Schöls L, Ram D, Zerem A, Graessner H, Wolf NI. Inventory of current practices regarding hematopoietic stem cell transplantation in metachromatic leukodystrophy in Europe and neighboring countries. Orphanet J Rare Dis 2024; 19:46. [PMID: 38326898 PMCID: PMC10848395 DOI: 10.1186/s13023-024-03075-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 02/03/2024] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND For decades, early allogeneic stem cell transplantation (HSCT) has been used to slow neurological decline in metachromatic leukodystrophy (MLD). There is lack of consensus regarding who may benefit, and guidelines are lacking. Clinical practice relies on limited literature and expert opinions. The European Reference Network for Rare Neurological Diseases (ERN-RND) and the MLD initiative facilitate expert panels for treatment advice, but some countries are underrepresented. This study explores organizational and clinical HSCT practices for MLD in Europe and neighboring countries to enhance optimization and harmonization of cross-border MLD care. METHODS A web-based EUSurvey was distributed through the ERN-RND and the European Society for Blood and Marrow Transplantation Inborn Errors Working Party. Personal invitations were sent to 89 physicians (43 countries) with neurological/metabolic/hematological expertise. The results were analyzed and visualized using Microsoft Excel and IBM SPSS statistics. RESULTS Of the 30 countries represented by 42 respondents, 23 countries offer HSCT for MLD. The treatment is usually available in 1-3 centers per country (18/23, 78%). Most countries have no or very few MLD patients transplanted during the past 1-5 years. The eligibility criteria regarding MLD subtype, motor function, IQ, and MRI largely differ across countries. CONCLUSION HSCT for MLD is available in most European countries, but uncertainties exist in Eastern and South-Eastern Europe. Applied eligibility criteria and management vary and may not align with the latest scientific insights, indicating physicians' struggle in providing evidence-based care. Interaction between local physicians and international experts is crucial for adequate treatment decision-making and cross-border care in the rapidly changing MLD field.
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Affiliation(s)
- Daphne H Schoenmakers
- Department of Child Neurology, Amsterdam Leukodystrophy Center, Emma's Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Cellular and Molecular Mechanisms, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Medicine for Society, Platform at Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Fanny Mochel
- Hôpital La Pitié-Salpêtrière, Assistance-Publique Hôpitaux de Paris, Inserm U1127, Paris, France
| | - Laura A Adang
- Division of Child Neurology, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Jaap-Jan Boelens
- Stem Cell Transplantation and Cellular Therapies Program, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Valeria Calbi
- San Raffaele Telethon Institute for Gene Therapy (SR-TIGET), Pediatric Immunohematology Unit and Neurology and Neurophysiology Unit, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
- Pediatric Immunohematology Unit and BMT Program, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Erik A Eklund
- Section for Pediatric Neurology, Skåne University Hospital and Clinical Sciences, Lund, Lund University, 221 84, Lund, Sweden
| | - Sabine W Grønborg
- Center for Inherited Metabolic Diseases, Department of Pediatrics and Adolescent Medicine and Department of Clinical Genetics, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Francesca Fumagalli
- San Raffaele Telethon Institute for Gene Therapy (SR-TIGET), Pediatric Immunohematology Unit and Neurology and Neurophysiology Unit, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Samuel Groeschel
- Department of Paediatric Neurology and Developmental Medicine, University Children's Hospital, Tübingen, Germany
| | - Caroline Lindemans
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
- Wilhelmina Children's Hospital, University Medical Center Utrecht, Lundlaan 6, 3584 EA, Utrecht, The Netherlands
| | - Caroline Sevin
- Reference Center for Leukodystrophies, Pediatric Neurology Department, Hôpital Bicêtre, Le Kremlin Bicêtre, France
| | - Ludger Schöls
- Department of Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
- German Center of Neurodeenerative Diseases (DZNE), Tübingen, Germany
| | - Dipak Ram
- Department of Paediatric Neurology, Royal Manchester Children's Hospital, Manchester, UK
| | - Ayelet Zerem
- Pediatric Neurology Institute, Dana-Dwek Children's Hospital, Tel Aviv Sourasky Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Holm Graessner
- Institute for Medical Genetics and Applied Genomics, Center for Rare Diseases, University of Tübingen, Tübingen, Germany
| | - Nicole I Wolf
- Department of Child Neurology, Amsterdam Leukodystrophy Center, Emma's Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
- Cellular and Molecular Mechanisms, Amsterdam Neuroscience, Amsterdam, The Netherlands.
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Groeschel S, Beerepoot S, Amedick LB, Krӓgeloh-Mann I, Li J, Whiteman DAH, Wolf NI, Port JD. The effect of intrathecal recombinant arylsulfatase A therapy on structural brain magnetic resonance imaging in children with metachromatic leukodystrophy. J Inherit Metab Dis 2024. [PMID: 38321717 DOI: 10.1002/jimd.12706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 12/12/2023] [Accepted: 12/13/2023] [Indexed: 02/08/2024]
Abstract
This study aimed to evaluate the effect of intrathecal (IT) recombinant human arylsulfatase A (rhASA) on magnetic resonance imaging (MRI)-assessed brain tissue changes in children with metachromatic leukodystrophy (MLD). In total, 510 MRI scans were collected from 12 intravenous (IV) rhASA-treated children with MLD, 24 IT rhASA-treated children with MLD, 32 children with untreated MLD, and 156 normally developing children. Linear mixed models were fitted to analyze the time courses of gray matter (GM) volume and fractional anisotropy (FA) in the posterior limb of the internal capsule. Time courses for demyelination load and FA in the centrum semiovale were visualized using locally estimated scatterplot smoothing regression curves. All assessed imaging parameters demonstrated structural evidence of neurological deterioration in children with MLD. GM volume was significantly lower at follow-up (median duration, 104 weeks) in IV rhASA-treated versus IT rhASA-treated children. GM volume decline over time was steeper in children receiving low-dose (10 or 30 mg) versus high-dose (100 mg) IT rhASA. Similar effects were observed for demyelination. FA in the posterior limb of the internal capsule showed a higher trend over time in IT rhASA-treated versus children with untreated MLD, but FA parameters were not different between children receiving the low doses versus those receiving the high dose. GM volume in IT rhASA-treated children showed a strong positive correlation with 88-item Gross Motor Function Measure score over time. In some children with MLD, IT administration of high-dose rhASA may delay neurological deterioration (assessed using MRI), offering potential therapeutic benefit.
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Affiliation(s)
- Samuel Groeschel
- Department of Pediatric Neurology, University Children's Hospital Tübingen, Tübingen, Germany
| | - Shanice Beerepoot
- Amsterdam Leukodystrophy Center, Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Centers, Vrije Universiteit and Amsterdam Neuroscience-Cellular and Molecular Mechanisms, Vrije Universiteit, Amsterdam, Netherlands
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands
| | - Lucas Bastian Amedick
- Department of Pediatric Neurology, University Children's Hospital Tübingen, Tübingen, Germany
| | - Ingeborg Krӓgeloh-Mann
- Department of Pediatric Neurology, University Children's Hospital Tübingen, Tübingen, Germany
| | - Jing Li
- Takeda Development Center Americas, Inc., Lexington, Massachusetts, USA
| | | | - Nicole I Wolf
- Amsterdam Leukodystrophy Center, Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Centers, Vrije Universiteit and Amsterdam Neuroscience-Cellular and Molecular Mechanisms, Vrije Universiteit, Amsterdam, Netherlands
| | - John D Port
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
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Farah MH, Dali CÍ, Groeschel S, Moldovan M, Whiteman DAH, Malanga CJ, Krägeloh‐Mann I, Li J, Barton N, Krarup C. Effects of sulfatide on peripheral nerves in metachromatic leukodystrophy. Ann Clin Transl Neurol 2024; 11:328-341. [PMID: 38146590 PMCID: PMC10863914 DOI: 10.1002/acn3.51954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 10/31/2023] [Accepted: 11/02/2023] [Indexed: 12/27/2023] Open
Abstract
OBJECTIVE To evaluate the longitudinal correlations between sulfatide/lysosulfatide levels and central and peripheral nervous system function in children with metachromatic leukodystrophy (MLD) and to explore the impact of intravenous recombinant human arylsulfatase A (rhASA) treatment on myelin turnover. METHODS A Phase 1/2 study of intravenous rhASA investigated cerebrospinal fluid (CSF) and sural nerve sulfatide levels, 88-item Gross Motor Function Measure (GMFM-88) total score, sensory and motor nerve conduction, brain N-acetylaspartate (NAA) levels, and sural nerve histology in 13 children with MLD. Myelinated and unmyelinated nerves from an untreated MLD mouse model were also analyzed. RESULTS CSF sulfatide levels correlated with neither Z-scores for GMFM-88 nor brain NAA levels; however, CSF sulfatide levels correlated negatively with Z-scores of nerve conduction parameters, number of large (≥7 μm) myelinated fibers, and myelin/fiber diameter slope, and positively with nerve g-ratios and cortical latencies of somatosensory-evoked potentials. Quantity of endoneural litter positively correlated with sural nerve sulfatide/lysosulfatide levels. CSF sulfatide levels decreased with continuous high-dose treatment; this change correlated with improved nerve conduction. At 26 weeks after treatment, nerve g-ratio decreased by 2%, and inclusion bodies per Schwann cell unit increased by 55%. In mice, abnormal sulfatide storage was observed in non-myelinating Schwann cells in Remak bundles of sciatic nerves but not in unmyelinated urethral nerves. INTERPRETATION Lower sulfatide levels in the CSF and peripheral nerves correlate with better peripheral nerve function in children with MLD; intravenous rhASA treatment may reduce CSF sulfatide levels and enhance sulfatide/lysosulfatide processing and remyelination in peripheral nerves.
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Affiliation(s)
- Mohamed H. Farah
- Department of NeurologyJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Christine í Dali
- Department of Clinical GeneticsRigshospitaletCopenhagenDenmark
- Present address:
Zevra Denmark A/S
| | - Samuel Groeschel
- Department of Pediatric NeurologyUniversity Children's Hospital TübingenTübingenGermany
| | - Mihai Moldovan
- Department of Clinical NeurophysiologyRigshospitaletCopenhagenDenmark
- Department of NeuroscienceUniversity of CopenhagenCopenhagenDenmark
| | | | - C. J. Malanga
- Takeda Development Center Americas, Inc.LexingtonMassachusettsUSA
| | | | - Jing Li
- Takeda Development Center Americas, Inc.LexingtonMassachusettsUSA
| | - Norman Barton
- Takeda Development Center Americas, Inc.LexingtonMassachusettsUSA
| | - Christian Krarup
- Department of Clinical NeurophysiologyRigshospitaletCopenhagenDenmark
- Department of NeuroscienceUniversity of CopenhagenCopenhagenDenmark
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7
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Kern J, Böhringer J, Timmann D, Trollmann R, Stendel C, Kamm C, Röbl M, Santhanakumaran V, Groeschel S, Beck-Wödl S, Göricke S, Krägeloh-Mann I, Synofzik M. Clinical, Imaging, Genetic, and Disease Course Characteristics in Patients With GM2 Gangliosidosis: Beyond Age of Onset. Neurology 2024; 102:e207898. [PMID: 38165373 PMCID: PMC10834127 DOI: 10.1212/wnl.0000000000207898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 09/27/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES GM2 gangliosidoses, a group of autosomal-recessive neurodegenerative lysosomal storage disorders, result from β-hexosaminidase (HEX) deficiency with GM2 ganglioside as its main substrate. Historically, GM2 gangliosidoses have been classified into infantile, juvenile, and late-onset forms. With disease-modifying treatment trials now on the horizon, a more fine-grained understanding of the disease course is needed. METHODS We aimed to map and stratify the clinical course of GM2 gangliosidoses in a multicenter cohort of pediatric and adult patients. Patients were stratified according to age at onset and age at diagnosis. The 2 resulting GM2 disease clusters were characterized in-depth for respective disease features (detailed standardized clinical, laboratory, and MRI assessments) and disease evolution. RESULTS In 21 patients with GM2 gangliosidosis (17 Tay-Sachs, 2 GM2 activator deficiency, 2 Sandhoff disease), 2 disease clusters were discriminated: an early-onset and early diagnosis cluster (type I; n = 8, including activator deficiency and Sandhoff disease) and a cluster with very variable onset and long interval until diagnosis (type II; n = 13 patients). In type I, rapid onset of developmental stagnation and regression, spasticity, and seizures dominated the clinical picture. Cherry red spot, startle reactions, and elevated AST were only seen in this cluster. In type II, problems with balance or gait, muscle weakness, dysarthria, and psychiatric symptoms were specific and frequent symptoms. Ocular signs were common, including supranuclear vertical gaze palsy in 30%. MRI involvement of basal ganglia and peritrigonal hyperintensity was seen only in type I, whereas predominant infratentorial atrophy (or normal MRI) was characteristic in type II. These types were, at least in part, associated with certain genetic variants. DISCUSSION Age at onset alone seems not sufficient to adequately predict different disease courses in GM2 gangliosidosis, as required for upcoming trial planning. We propose an alternative classification based on age at disease onset and dynamics, predicted by clinical features and biomarkers, into type I-an early-onset, rapid progression cluster-and type II-a variable onset, slow progression cluster. Specific diagnostic workup, including GM2 gangliosidosis, should be performed in patients with combined ataxia plus lower motor neuron weakness to identify type II patients.
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Affiliation(s)
- Jan Kern
- From the Department of Neuropediatrics (J.K., J.B., V.S., S. Groeschel, I.K.-M.), Developmental Neurology and Social Pediatrics, University of Tübingen; Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS) (D.T.), University Hospital Essen, University of Duisburg-Essen; Department of Neuropediatrics (R.T.), Friedrich-Alexander University of Erlangen-Nürnberg; Department of Neurology (C.S.), Friedrich-Baur-Institute, University Hospital LMU, Munich; Department of Neurology (C.K.), University of Rostock; Department of Pediatrics (M.R.), University of Göttingen; Institute of Medical Genetics and Applied Genomics (S.B.-W.), University of Tübingen; Institute of Diagnostic and Interventional Radiology and Neuroradiology (S. Göricke), Essen University Hospital, University of Duisburg-Essen; and Research Division Translational Genomics of Neurodegenerative Diseases (M.S.), Center for Neurology & Hertie-Institute for Clinical Brain Research, University of Tübingen; German Center for Neurodegenerative Diseases, Germany
| | - Judith Böhringer
- From the Department of Neuropediatrics (J.K., J.B., V.S., S. Groeschel, I.K.-M.), Developmental Neurology and Social Pediatrics, University of Tübingen; Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS) (D.T.), University Hospital Essen, University of Duisburg-Essen; Department of Neuropediatrics (R.T.), Friedrich-Alexander University of Erlangen-Nürnberg; Department of Neurology (C.S.), Friedrich-Baur-Institute, University Hospital LMU, Munich; Department of Neurology (C.K.), University of Rostock; Department of Pediatrics (M.R.), University of Göttingen; Institute of Medical Genetics and Applied Genomics (S.B.-W.), University of Tübingen; Institute of Diagnostic and Interventional Radiology and Neuroradiology (S. Göricke), Essen University Hospital, University of Duisburg-Essen; and Research Division Translational Genomics of Neurodegenerative Diseases (M.S.), Center for Neurology & Hertie-Institute for Clinical Brain Research, University of Tübingen; German Center for Neurodegenerative Diseases, Germany
| | - Dagmar Timmann
- From the Department of Neuropediatrics (J.K., J.B., V.S., S. Groeschel, I.K.-M.), Developmental Neurology and Social Pediatrics, University of Tübingen; Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS) (D.T.), University Hospital Essen, University of Duisburg-Essen; Department of Neuropediatrics (R.T.), Friedrich-Alexander University of Erlangen-Nürnberg; Department of Neurology (C.S.), Friedrich-Baur-Institute, University Hospital LMU, Munich; Department of Neurology (C.K.), University of Rostock; Department of Pediatrics (M.R.), University of Göttingen; Institute of Medical Genetics and Applied Genomics (S.B.-W.), University of Tübingen; Institute of Diagnostic and Interventional Radiology and Neuroradiology (S. Göricke), Essen University Hospital, University of Duisburg-Essen; and Research Division Translational Genomics of Neurodegenerative Diseases (M.S.), Center for Neurology & Hertie-Institute for Clinical Brain Research, University of Tübingen; German Center for Neurodegenerative Diseases, Germany
| | - Regina Trollmann
- From the Department of Neuropediatrics (J.K., J.B., V.S., S. Groeschel, I.K.-M.), Developmental Neurology and Social Pediatrics, University of Tübingen; Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS) (D.T.), University Hospital Essen, University of Duisburg-Essen; Department of Neuropediatrics (R.T.), Friedrich-Alexander University of Erlangen-Nürnberg; Department of Neurology (C.S.), Friedrich-Baur-Institute, University Hospital LMU, Munich; Department of Neurology (C.K.), University of Rostock; Department of Pediatrics (M.R.), University of Göttingen; Institute of Medical Genetics and Applied Genomics (S.B.-W.), University of Tübingen; Institute of Diagnostic and Interventional Radiology and Neuroradiology (S. Göricke), Essen University Hospital, University of Duisburg-Essen; and Research Division Translational Genomics of Neurodegenerative Diseases (M.S.), Center for Neurology & Hertie-Institute for Clinical Brain Research, University of Tübingen; German Center for Neurodegenerative Diseases, Germany
| | - Claudia Stendel
- From the Department of Neuropediatrics (J.K., J.B., V.S., S. Groeschel, I.K.-M.), Developmental Neurology and Social Pediatrics, University of Tübingen; Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS) (D.T.), University Hospital Essen, University of Duisburg-Essen; Department of Neuropediatrics (R.T.), Friedrich-Alexander University of Erlangen-Nürnberg; Department of Neurology (C.S.), Friedrich-Baur-Institute, University Hospital LMU, Munich; Department of Neurology (C.K.), University of Rostock; Department of Pediatrics (M.R.), University of Göttingen; Institute of Medical Genetics and Applied Genomics (S.B.-W.), University of Tübingen; Institute of Diagnostic and Interventional Radiology and Neuroradiology (S. Göricke), Essen University Hospital, University of Duisburg-Essen; and Research Division Translational Genomics of Neurodegenerative Diseases (M.S.), Center for Neurology & Hertie-Institute for Clinical Brain Research, University of Tübingen; German Center for Neurodegenerative Diseases, Germany
| | - Cristoph Kamm
- From the Department of Neuropediatrics (J.K., J.B., V.S., S. Groeschel, I.K.-M.), Developmental Neurology and Social Pediatrics, University of Tübingen; Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS) (D.T.), University Hospital Essen, University of Duisburg-Essen; Department of Neuropediatrics (R.T.), Friedrich-Alexander University of Erlangen-Nürnberg; Department of Neurology (C.S.), Friedrich-Baur-Institute, University Hospital LMU, Munich; Department of Neurology (C.K.), University of Rostock; Department of Pediatrics (M.R.), University of Göttingen; Institute of Medical Genetics and Applied Genomics (S.B.-W.), University of Tübingen; Institute of Diagnostic and Interventional Radiology and Neuroradiology (S. Göricke), Essen University Hospital, University of Duisburg-Essen; and Research Division Translational Genomics of Neurodegenerative Diseases (M.S.), Center for Neurology & Hertie-Institute for Clinical Brain Research, University of Tübingen; German Center for Neurodegenerative Diseases, Germany
| | - Markus Röbl
- From the Department of Neuropediatrics (J.K., J.B., V.S., S. Groeschel, I.K.-M.), Developmental Neurology and Social Pediatrics, University of Tübingen; Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS) (D.T.), University Hospital Essen, University of Duisburg-Essen; Department of Neuropediatrics (R.T.), Friedrich-Alexander University of Erlangen-Nürnberg; Department of Neurology (C.S.), Friedrich-Baur-Institute, University Hospital LMU, Munich; Department of Neurology (C.K.), University of Rostock; Department of Pediatrics (M.R.), University of Göttingen; Institute of Medical Genetics and Applied Genomics (S.B.-W.), University of Tübingen; Institute of Diagnostic and Interventional Radiology and Neuroradiology (S. Göricke), Essen University Hospital, University of Duisburg-Essen; and Research Division Translational Genomics of Neurodegenerative Diseases (M.S.), Center for Neurology & Hertie-Institute for Clinical Brain Research, University of Tübingen; German Center for Neurodegenerative Diseases, Germany
| | - Vidiyaah Santhanakumaran
- From the Department of Neuropediatrics (J.K., J.B., V.S., S. Groeschel, I.K.-M.), Developmental Neurology and Social Pediatrics, University of Tübingen; Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS) (D.T.), University Hospital Essen, University of Duisburg-Essen; Department of Neuropediatrics (R.T.), Friedrich-Alexander University of Erlangen-Nürnberg; Department of Neurology (C.S.), Friedrich-Baur-Institute, University Hospital LMU, Munich; Department of Neurology (C.K.), University of Rostock; Department of Pediatrics (M.R.), University of Göttingen; Institute of Medical Genetics and Applied Genomics (S.B.-W.), University of Tübingen; Institute of Diagnostic and Interventional Radiology and Neuroradiology (S. Göricke), Essen University Hospital, University of Duisburg-Essen; and Research Division Translational Genomics of Neurodegenerative Diseases (M.S.), Center for Neurology & Hertie-Institute for Clinical Brain Research, University of Tübingen; German Center for Neurodegenerative Diseases, Germany
| | - Samuel Groeschel
- From the Department of Neuropediatrics (J.K., J.B., V.S., S. Groeschel, I.K.-M.), Developmental Neurology and Social Pediatrics, University of Tübingen; Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS) (D.T.), University Hospital Essen, University of Duisburg-Essen; Department of Neuropediatrics (R.T.), Friedrich-Alexander University of Erlangen-Nürnberg; Department of Neurology (C.S.), Friedrich-Baur-Institute, University Hospital LMU, Munich; Department of Neurology (C.K.), University of Rostock; Department of Pediatrics (M.R.), University of Göttingen; Institute of Medical Genetics and Applied Genomics (S.B.-W.), University of Tübingen; Institute of Diagnostic and Interventional Radiology and Neuroradiology (S. Göricke), Essen University Hospital, University of Duisburg-Essen; and Research Division Translational Genomics of Neurodegenerative Diseases (M.S.), Center for Neurology & Hertie-Institute for Clinical Brain Research, University of Tübingen; German Center for Neurodegenerative Diseases, Germany
| | - Stefanie Beck-Wödl
- From the Department of Neuropediatrics (J.K., J.B., V.S., S. Groeschel, I.K.-M.), Developmental Neurology and Social Pediatrics, University of Tübingen; Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS) (D.T.), University Hospital Essen, University of Duisburg-Essen; Department of Neuropediatrics (R.T.), Friedrich-Alexander University of Erlangen-Nürnberg; Department of Neurology (C.S.), Friedrich-Baur-Institute, University Hospital LMU, Munich; Department of Neurology (C.K.), University of Rostock; Department of Pediatrics (M.R.), University of Göttingen; Institute of Medical Genetics and Applied Genomics (S.B.-W.), University of Tübingen; Institute of Diagnostic and Interventional Radiology and Neuroradiology (S. Göricke), Essen University Hospital, University of Duisburg-Essen; and Research Division Translational Genomics of Neurodegenerative Diseases (M.S.), Center for Neurology & Hertie-Institute for Clinical Brain Research, University of Tübingen; German Center for Neurodegenerative Diseases, Germany
| | - Sophia Göricke
- From the Department of Neuropediatrics (J.K., J.B., V.S., S. Groeschel, I.K.-M.), Developmental Neurology and Social Pediatrics, University of Tübingen; Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS) (D.T.), University Hospital Essen, University of Duisburg-Essen; Department of Neuropediatrics (R.T.), Friedrich-Alexander University of Erlangen-Nürnberg; Department of Neurology (C.S.), Friedrich-Baur-Institute, University Hospital LMU, Munich; Department of Neurology (C.K.), University of Rostock; Department of Pediatrics (M.R.), University of Göttingen; Institute of Medical Genetics and Applied Genomics (S.B.-W.), University of Tübingen; Institute of Diagnostic and Interventional Radiology and Neuroradiology (S. Göricke), Essen University Hospital, University of Duisburg-Essen; and Research Division Translational Genomics of Neurodegenerative Diseases (M.S.), Center for Neurology & Hertie-Institute for Clinical Brain Research, University of Tübingen; German Center for Neurodegenerative Diseases, Germany
| | - Ingeborg Krägeloh-Mann
- From the Department of Neuropediatrics (J.K., J.B., V.S., S. Groeschel, I.K.-M.), Developmental Neurology and Social Pediatrics, University of Tübingen; Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS) (D.T.), University Hospital Essen, University of Duisburg-Essen; Department of Neuropediatrics (R.T.), Friedrich-Alexander University of Erlangen-Nürnberg; Department of Neurology (C.S.), Friedrich-Baur-Institute, University Hospital LMU, Munich; Department of Neurology (C.K.), University of Rostock; Department of Pediatrics (M.R.), University of Göttingen; Institute of Medical Genetics and Applied Genomics (S.B.-W.), University of Tübingen; Institute of Diagnostic and Interventional Radiology and Neuroradiology (S. Göricke), Essen University Hospital, University of Duisburg-Essen; and Research Division Translational Genomics of Neurodegenerative Diseases (M.S.), Center for Neurology & Hertie-Institute for Clinical Brain Research, University of Tübingen; German Center for Neurodegenerative Diseases, Germany
| | - Matthis Synofzik
- From the Department of Neuropediatrics (J.K., J.B., V.S., S. Groeschel, I.K.-M.), Developmental Neurology and Social Pediatrics, University of Tübingen; Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS) (D.T.), University Hospital Essen, University of Duisburg-Essen; Department of Neuropediatrics (R.T.), Friedrich-Alexander University of Erlangen-Nürnberg; Department of Neurology (C.S.), Friedrich-Baur-Institute, University Hospital LMU, Munich; Department of Neurology (C.K.), University of Rostock; Department of Pediatrics (M.R.), University of Göttingen; Institute of Medical Genetics and Applied Genomics (S.B.-W.), University of Tübingen; Institute of Diagnostic and Interventional Radiology and Neuroradiology (S. Göricke), Essen University Hospital, University of Duisburg-Essen; and Research Division Translational Genomics of Neurodegenerative Diseases (M.S.), Center for Neurology & Hertie-Institute for Clinical Brain Research, University of Tübingen; German Center for Neurodegenerative Diseases, Germany
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Pretzel P, Wilke M, Tournier JD, Goelz R, Lidzba K, Hauser TK, Groeschel S. Reduced structural connectivity in non-motor networks in children born preterm and the influence of early postnatal human cytomegalovirus infection. Front Neurol 2023; 14:1241387. [PMID: 37849834 PMCID: PMC10577195 DOI: 10.3389/fneur.2023.1241387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 09/13/2023] [Indexed: 10/19/2023] Open
Abstract
Introduction Preterm birth is increasingly recognized to cause lifelong functional deficits, which often show no correlate in conventional MRI. In addition, early postnatal infection with human cytomegalovirus (hCMV) is being discussed as a possible cause for further impairments. In the present work, we used fixel-based analysis of diffusion-weighted MRI to assess long-term white matter alterations associated with preterm birth and/or early postnatal hCMV infection. Materials and methods 36 former preterms (PT, median age 14.8 years, median gestational age 28 weeks) and 18 healthy term-born controls (HC, median age 11.1 years) underwent high angular resolution DWI scans (1.5 T, b = 2 000 s/mm2, 60 directions) as well as clinical assessment. All subjects showed normal conventional MRI and normal motor function. Early postnatal hCMV infection status (CMV+ and CMV-) had been determined from repeated screening, ruling out congenital infections. Whole-brain analysis was performed, yielding fixel-wise metrics for fiber density (FD), fiber cross-section (FC), and fiber density and cross-section (FDC). Group differences were identified in a whole-brain analysis, followed by an analysis of tract-averaged metrics within a priori selected tracts associated with cognitive function. Both analyses were repeated while differentiating for postnatal hCMV infection status. Results PT showed significant reductions of fixel metrics bilaterally in the cingulum, the genu corporis callosum and forceps minor, the capsula externa, and cerebellar and pontine structures. After including intracranial volume as a covariate, reductions remained significant in the cingulum. The tract-specific investigation revealed further reductions bilaterally in the superior longitudinal fasciculus and the uncinate fasciculus. When differentiating for hCMV infection status, no significant differences were found between CMV+ and CMV-. However, comparing CMV+ against HC, fixel metric reductions were of higher magnitude and of larger spatial extent than in CMV- against HC. Conclusion Preterm birth can lead to long-lasting alterations of WM micro- and macrostructure, not visible on conventional MRI. Alterations are located predominantly in WM structures associated with cognitive function, likely underlying the cognitive deficits observed in our cohort. These observed structural alterations were more pronounced in preterms who suffered from early postnatal hCMV infection, in line with previous studies suggesting an additive effect.
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Affiliation(s)
- Pablo Pretzel
- Department of Child Neurology and Developmental Medicine, University Children’s Hospital, Tübingen, Germany
- Experimental Pediatric Neuroimaging, Department of Child Neurology and Department of Neuroradiology, University Hospital, Tübingen, Germany
| | - Marko Wilke
- Department of Child Neurology and Developmental Medicine, University Children’s Hospital, Tübingen, Germany
- Experimental Pediatric Neuroimaging, Department of Child Neurology and Department of Neuroradiology, University Hospital, Tübingen, Germany
| | - J-Donald Tournier
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Rangmar Goelz
- Department of Neonatology, University Children’s Hospital, Tübingen, Germany
| | - Karen Lidzba
- Division of Neuropaediatrics, Development and Rehabilitation, Department of Paediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | | | - Samuel Groeschel
- Department of Child Neurology and Developmental Medicine, University Children’s Hospital, Tübingen, Germany
- Experimental Pediatric Neuroimaging, Department of Child Neurology and Department of Neuroradiology, University Hospital, Tübingen, Germany
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9
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Amedick LB, Martin P, Beschle J, Strölin M, Wilke M, Wolf N, Pouwels P, Hagberg G, Klose U, Naegele T, Kraegeloh-Mann I, Groeschel S. Clinical significance of diffusion tensor imaging in metachromatic leukodystrophy. Neuropediatrics 2023. [PMID: 37054976 PMCID: PMC10332944 DOI: 10.1055/a-2073-4178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/15/2023]
Abstract
BACKGROUND AND PURPOSE Metachromatic leukodystrophy (MLD) is a lysosomal enzyme deficiency disorder leading to progressive demyelination and, consecutively, to cognitive and motor decline. Brain MRI can detect affected white matter as T2 hyperintense but cannot quantify the gradual microstructural process of demyelination more accurately. Our study aimed to investigate the value of routine MR diffusion tensor imaging in assessing disease progression. MATERIALS AND METHODS MR diffusion parameters (ADC and FA) were in the frontal white matter (FWM), central region (CR) and posterior limb of the internal capsule (PLIC) in 111 MR data sets from a natural history study of 83 patients (age 0.5-39.9 years; 35 late-infantile, 45 juvenile, 3 adult, with clinical diffusion sequences of different scanner manufacturers) as well as 120 controls. Results were correlated with clinical parameters reflecting motor and cognitive function. RESULTS ADC values increase and FA values decrease depending on disease stage/severity. They show region-specific correlations with clinical parameters of motor and cognitive symptoms, respectively. Higher ADC levels in CR at diagnosis predicted a disease course with more rapid motor deterioration in juvenile MLD patients. In highly-organised tissue like the corticospinal tract in particular, diffusion MR parameters were highly sensitive to MLD associated changes and did not correlate with the visual quantification of T2 hyperintensities. CONCLUSION Our results show that diffusion MRI can deliver valuable, robust, clinically meaningful and easily obtainable/accessible/available parameters in the assessment of prognosis and progression of metachromatic leukodystrophy. Therefore, it provides additional quantifiable information to established methods such as T2 hyperintensity.
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Affiliation(s)
- Lucas Bastian Amedick
- University of Tuebingen, Pediatric Neurology & Developmental Medicine, Tuebingen, Germany
| | - Pascal Martin
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University Hospitals Tubingen, Tubingen, Germany
| | - Judith Beschle
- University Hospital Tübingen, Pediatric Neurology and Developmental Medicine, Tuebingen, Germany
| | - Manuel Strölin
- University of Tübingen, Pediatric Neurology & Developmental Medicine, Tuebingen, Germany
| | - Marko Wilke
- Pediatric Neurology, Children's Hospital, Tübingen, Germany
| | - Nicole Wolf
- Child Neurology, Amsterdam UMC Locatie VUmc, Amsterdam, Netherlands
| | - Petra Pouwels
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Locatie VUmc, Amsterdam, Netherlands
| | - Gisela Hagberg
- Max-Planck-Institut für biologische Kybernetik, Tubingen, Germany
| | - Uwe Klose
- Department of Diagnostic and Interventional Neuroradiology, Radiological Clinic, University of Tübingen, Tübingen, Germany
| | - Thomas Naegele
- Department für diagnostische und interventionelle Neuroradiologie, Universitätsklinikum Tübingen, Tubingen, Germany
| | | | - Samuel Groeschel
- Pediatric Neurology & Developmental Medicine, University of Tübingen, Tübingen, Germany
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10
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Gruen J, Groeschel S, Schultz T. Spatially regularized low-rank tensor approximation for accurate and fast tractography. Neuroimage 2023; 271:120004. [PMID: 36898487 DOI: 10.1016/j.neuroimage.2023.120004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 03/03/2023] [Accepted: 03/06/2023] [Indexed: 03/11/2023] Open
Abstract
Tractography based on diffusion Magnetic Resonance Imaging (dMRI) is the prevalent approach to the in vivo delineation of white matter tracts in the human brain. Many tractography methods rely on models of multiple fiber compartments, but the local dMRI information is not always sufficient to reliably estimate the directions of secondary fibers. Therefore, we introduce two novel approaches that use spatial regularization to make multi-fiber tractography more stable. Both represent the fiber Orientation Distribution Function (fODF) as a symmetric fourth-order tensor, and recover multiple fiber orientations via low-rank approximation. Our first approach computes a joint approximation over suitably weighted local neighborhoods with an efficient alternating optimization. The second approach integrates the low-rank approximation into a current state-of-the-art tractography algorithm based on the unscented Kalman filter (UKF). These methods were applied in three different scenarios. First, we demonstrate that they improve tractography even in high-quality data from the Human Connectome Project, and that they maintain useful results with a small fraction of the measurements. Second, on the 2015 ISMRM tractography challenge, they increase overlap, while reducing overreach, compared to low-rank approximation without joint optimization or the traditional UKF, respectively. Finally, our methods permit a more comprehensive reconstruction of tracts surrounding a tumor in a clinical dataset. Overall, both approaches improve reconstruction quality. At the same time, our modified UKF significantly reduces the computational effort compared to its traditional counterpart, and to our joint approximation. However, when used with ROI-based seeding, joint approximation more fully recovers fiber spread.
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Affiliation(s)
- Johannes Gruen
- Institute for Computer Science, University of Bonn, Friedrich-Hirzebruch-Allee 8, Bonn, 53115, Germany; Bonn-Aachen International Center for Information Technology, University of Bonn, Friedrich-Hirzebruch-Allee 6, Bonn, 53115, Germany
| | - Samuel Groeschel
- Experimental Pediatric Neuroimaging and Department of Pediatric Neurology & Developmental Medicine, University Children's Hospital, Hoppe-Seyler-Straße 1, Tuebingen, 72076, Germany
| | - Thomas Schultz
- Bonn-Aachen International Center for Information Technology, University of Bonn, Friedrich-Hirzebruch-Allee 6, Bonn, 53115, Germany; Institute for Computer Science, University of Bonn, Friedrich-Hirzebruch-Allee 8, Bonn, 53115, Germany.
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11
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Santhanakumaran V, Groeschel S, Harzer K, Kehrer C, Elgün S, Beck-Wödl S, Hengel H, Schöls L, Haack TB, Krägeloh-Mann I, Laugwitz L. Corrigendum to "Predicting clinical phenotypes of metachromatic leukodystrophy based on the arylsulfatase A activity and the ARSA genotype? - Chances and challenges" Mol Genet Metab/Vol 137/Issue 3/2022/ 273-282. Mol Genet Metab 2023; 138:107372. [PMID: 36739646 DOI: 10.1016/j.ymgme.2023.107372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Vidiyaah Santhanakumaran
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany
| | - Samuel Groeschel
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany
| | - Klaus Harzer
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany
| | - Christiane Kehrer
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany
| | - Saskia Elgün
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany
| | - Stefanie Beck-Wödl
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany
| | - Holger Hengel
- Department of Neurology and Hertie-Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany
| | - Ludger Schöls
- Department of Neurology and Hertie-Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany
| | - Tobias B Haack
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany
| | - Ingeborg Krägeloh-Mann
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany
| | - Lucia Laugwitz
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany; Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany.
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12
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Feldmann J, Martin P, Bender B, Laugwitz L, Zizmare L, Trautwein C, Krägeloh-Mann I, Klose U, Groeschel S. MR-spectroscopy in metachromatic leukodystrophy: A model free approach and clinical correlation. Neuroimage Clin 2023; 37:103296. [PMID: 36563646 PMCID: PMC9800432 DOI: 10.1016/j.nicl.2022.103296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 11/23/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND PURPOSE Metachromatic leukodystrophy (MLD) is a lysosomal enzyme deficiency disorder leading to demyelination and subsequently to a progressive decline in cognitive and motor function. It affects mainly white matter where changes during the course of the disease can be visualized on T2-weighted MRI as hyperintense areas. Associated changes in brain metabolism can be quantified by MR spectroscopy (MRS) and may give complementary information as biomarkers for disease characterisation and progression. Our study aimed to further investigate the correlation of MRS with clinical parameters for motor and cognitive function by using a model free MRS analysis approach that would be precise and straightforward to implement. MATERIALS AND METHODS 53 MRS datasets derived from 29 patients (10 late-infantile, 19 juvenile) and 12 controls were acquired using a semi-LASER CSI sequence covering a slice through the centrum semiovale above the corpus callosum. We defined four regions of interest in the white matter (frontal white matter [FWM] and the cortico-spinal tract [CST] area, each left and right) and one in cortical grey matter. Spectra were analysed using a model and fitting free approach by calculating the definite integral of 10 intervals which were distributed along the whole spectrum. These 10 intervals were orientated towards the main peaks of the metabolites N-acetylaspartate (NAA), creatine, myo-inositol, choline, glutamine/glutamate and aspartate to approximately attribute changes in the intervals to corresponding metabolites. Their ratios to the main creatine peak integral were correlated with clinical parameters assessing motor and cognitive abilities. Furthermore, in a post-hoc analysis, NAA levels of a subset of 21 MR datasets were correlated to NAA levels in urine measured by 1H (proton) nuclear magnetic resonance (NMR) spectroscopy. The applied interval integration method was validated in the control cohort against the standard approach, using spectral profile templates of known metabolites (LCModel). Both methods showed good agreement, with coefficients of variance being slightly lower for our approach compared to the related LCModel results. Moreover, the new approach was able to extract information out of the frequency range around the main peaks of aspartate and glutamine where LCModel showed only few usable values for the respective metabolites. RESULTS MLD spectra clearly differed from controls. The most pronounced differences were found in white matter (much less in grey matter), with larger values corresponding to main peaks of myo-inositol, choline and aspartate, and smaller values associated with NAA and glutamine. Late-infantile patients had more severe changes compared to later-onset patients, especially in intervals corresponding to NAA, aspartate, myo-inositol, choline and glutamine. There was a high correlation of several intervals in the corticospinal tract region with motor function (with the most relevant interval corresponding to NAA peak with a correlation coefficient of -0.75; p < 0.001), while cognitive function, by means of IQ, was found to be most correlating in frontal white matter corresponding to the NAA peak (r = 0.84, p < 0.001). The post-hoc analysis showed that the main NAA peak interval correlated negatively with the NAA in urine (r = -0.584, p < 0.001). CONCLUSION The applied model and fitting free interval integration approach to analyse MRS data of a semi-LASER sequence at 3T suits well to detect and quantify pathological changes in MLD patients through the different courses of the disease and correlates well with clinical symptoms while showing smaller dimensions of variation compared to the more sophisticated single metabolite analysis using LCModel. NAA seems the most clinically meaningful biomarker to use in this context. Its correlation with urine measurements further underlines its potential as a clinically and biologically useful parameter of disease progression in MLD.
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Affiliation(s)
- Joana Feldmann
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany
| | - Pascal Martin
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany.
| | - Benjamin Bender
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, 72076 Tübingen, Germany
| | - Lucia Laugwitz
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany
| | - Laimdota Zizmare
- Werner Siemens Imaging Center, University of Tübingen, 72076 Tübingen, Germany
| | - Christoph Trautwein
- Werner Siemens Imaging Center, University of Tübingen, 72076 Tübingen, Germany
| | - Ingeborg Krägeloh-Mann
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany
| | - Uwe Klose
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, 72076 Tübingen, Germany
| | - Samuel Groeschel
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany
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13
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Schoenmakers DH, Beerepoot S, Krägeloh‐Mann I, Elgün S, Bender B, van der Knaap MS, Wolf NI, Groeschel S. Recognizing early MRI signs (or their absence) is crucial in diagnosing metachromatic leukodystrophy. Ann Clin Transl Neurol 2022; 9:1999-2009. [PMID: 36334091 PMCID: PMC9735365 DOI: 10.1002/acn3.51692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 10/21/2022] [Accepted: 10/23/2022] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVES Metachromatic leukodystrophy (MLD) has characteristic white matter (WM) changes on brain MRI, which often trigger biochemical and genetic confirmation of the diagnosis. In early or pre-symptomatic disease stages, these typical MRI changes might be absent, hampering early diagnosis. This study aims to describe the characteristics of MRI WM abnormalities at diagnosis, related to clinical presentation. METHODS We retrospectively reviewed brain MRIs of MLD patients followed in 2 centers at the time of diagnosis regarding MLD MRI score and presence of tigroid pattern. In addition, MLD subtype, symptom status, CNS/PNS phenotype, motor/cognitive/mixed phenotype, and the presence of CNS symptoms were evaluated. RESULTS We included 104 brain MRIs from patients with late-infantile (n = 43), early-juvenile (n = 24), late-juvenile (n = 20) and adult (n = 17) onset. Involvement of the corpus callosum was a characteristic early MRI sign and was present in 71% of the symptomatic late-infantile patients, 94% of the symptomatic early-juvenile patients and 100% of the symptomatic late-juvenile and adult patients. Symptomatic early-juvenile, late-juvenile and adult patients generally had WM abnormalities on MRI suggestive of MLD. By contrast, 47% of the early-symptomatic late-infantile patients had no or only mild WM abnormalities on MRI, even in the presence of CNS symptoms including pyramidal signs. INTERPRETATION Patients with late-infantile MLD may have no or only mild, nonspecific abnormalities at brain MRI, partly suggestive of 'delayed myelination', even with clear clinical symptoms. This may lead to significant diagnostic delay. Knowledge of these early MRI signs (or their absence) is important for fast diagnosis.
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Affiliation(s)
- Daphne H. Schoenmakers
- Department of Child Neurology, Amsterdam Leukodystrophy CenterAmsterdam UMC location Vrije Universiteit Amsterdam, Emma's Children's HospitalBoelelaan 1117AmsterdamThe Netherlands,Amsterdam Neuroscience, Cellular & Molecular MechanismsAmsterdamThe Netherlands,Department of Endocrinology and MetabolismAmsterdam UMC location University of AmsterdamMeibergdreef 9AmsterdamThe Netherlands
| | - Shanice Beerepoot
- Department of Child Neurology, Amsterdam Leukodystrophy CenterAmsterdam UMC location Vrije Universiteit Amsterdam, Emma's Children's HospitalBoelelaan 1117AmsterdamThe Netherlands,Amsterdam Neuroscience, Cellular & Molecular MechanismsAmsterdamThe Netherlands,Center for Translational ImmunologyUniversity Medical Center UtrechtUtrechtThe Netherlands,Pediatric Transplant CenterPrincess Máxima Center for Pediatric OncologyUtrechtThe Netherlands
| | - Ingeborg Krägeloh‐Mann
- Department of Child Neurology and Developmental MedicineUniversity Children's Hospital TübingenHoppe‐Seyler‐Straße 172076TübingenGermany
| | - Saskia Elgün
- Department of Child Neurology and Developmental MedicineUniversity Children's Hospital TübingenHoppe‐Seyler‐Straße 172076TübingenGermany
| | - Benjamin Bender
- Diagnostic and Interventional Neuroradiology, Department of RadiologyUniversity Hospital TübingenHoppe‐Seyler‐Straße 372076TübingenGermany
| | - Marjo S. van der Knaap
- Department of Child Neurology, Amsterdam Leukodystrophy CenterAmsterdam UMC location Vrije Universiteit Amsterdam, Emma's Children's HospitalBoelelaan 1117AmsterdamThe Netherlands,Amsterdam Neuroscience, Cellular & Molecular MechanismsAmsterdamThe Netherlands,Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive ResearchVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Nicole I. Wolf
- Department of Child Neurology, Amsterdam Leukodystrophy CenterAmsterdam UMC location Vrije Universiteit Amsterdam, Emma's Children's HospitalBoelelaan 1117AmsterdamThe Netherlands,Amsterdam Neuroscience, Cellular & Molecular MechanismsAmsterdamThe Netherlands
| | - Samuel Groeschel
- Department of Child Neurology and Developmental MedicineUniversity Children's Hospital TübingenHoppe‐Seyler‐Straße 172076TübingenGermany
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14
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Santhanakumaran V, Groeschel S, Harzer K, Kehrer C, Elgün S, Beck-Wödl S, Hengel H, Schöls L, Haack TB, Krägeloh-Mann I, Laugwitz L. Predicting clinical phenotypes of metachromatic leukodystrophy based on the arylsulfatase A activity and the ARSA genotype? - Chances and challenges. Mol Genet Metab 2022; 137:273-282. [PMID: 36240581 DOI: 10.1016/j.ymgme.2022.09.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 09/26/2022] [Accepted: 09/27/2022] [Indexed: 02/07/2023]
Abstract
OBJECTIVES Metachromatic leukodystrophy (MLD) is an autosomal recessive lysosomal storage disease caused by deficiency of arylsulfatase A (ARSA). Subsequent accumulation of sulfatides leads to demyelination and neurodegeneration in the central and peripheral nervous system. To date MLD is classified based on the age at onset, however, especially for late onset forms this classification provides only limited projection regarding the clinical disease course. Moreover, evolving newborn screening approaches raise the need to predict the disease onset and course in pre-symptomatic individuals. Here, we correlate the ARSA activity and the ARSA-genotype with clinical parameters in a large cohort of 96 affected individuals. MATERIALS AND METHODS Clinical data of 96 affected individuals with genetically and/or biochemically confirmed MLD were collected from a national database. Leukocyte samples from 69 affected individuals were re-analyzed for the ARSA activity using p-nitrocatecholsulfate as substrate with a refined ARSA assay towards the lower limit of detection. For 84 individuals genetic sequencing was conducted by Sanger or next generation sequencing (NGS). RESULTS The adapted ARSA assay revealed the discriminatory power to differentiate MLD subtypes as the residual enzyme activity was low in late infantile and early juvenile forms, and clearly higher in late juvenile and adult MLD (p < 0.001). A residual enzyme activity below 1% compared to controls predicted an early onset (late-infantile or early-juvenile) and rapid disease progression. A firm genotype-phenotype correlation was proven as reliable for bi-allelic protein-truncating variants in the ARSA gene resulting in minimal residual ARSA activity, an early onset of the disease and initial decline of motor functions. Although the impact of missense variants was equivocal, few variants with a recognizable clinical spectrum were identified. DISCUSSION ARSA activity in leukocytes as well as the ARSA genotype can predict the age of disease onset and the dynamic of disease progression for most of the early onset forms. This knowledge is relevant for patient counseling and to guide treatment decisions, especially when identifying pre-symptomatic individuals, e.g., in newborn screening. However, due to the high cumulative frequency of rare disease-causing missense variants in the ARSA gene that lead to highly variable residual enzyme activity, reiterated biochemical and genetic studies are needed to improve disease course prediction.
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Affiliation(s)
- Vidiyaah Santhanakumaran
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany
| | - Samuel Groeschel
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany
| | - Klaus Harzer
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany
| | - Christiane Kehrer
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany
| | - Saskia Elgün
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany
| | - Stefanie Beck-Wödl
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany
| | - Holger Hengel
- Department of Neurology and Hertie-Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany
| | - Ludger Schöls
- Department of Neurology and Hertie-Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany
| | - Tobias B Haack
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany
| | - Ingeborg Krägeloh-Mann
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany
| | - Lucia Laugwitz
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, 72076 Tübingen, Germany; Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany.
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15
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Laugwitz L, Seibt A, Herebian D, Peralta S, Kienzle I, Buchert R, Falb R, Gauck D, Müller A, Grimmel M, Beck-Woedel S, Kern J, Daliri K, Katibeh P, Danhauser K, Leiz S, Alesi V, Baertling F, Vasco G, Steinfeld R, Wagner M, Caglayan AO, Gumus H, Burmeister M, Mayatepek E, Martinelli D, Tamhankar PM, Tamhankar V, Joset P, Steindl K, Rauch A, Bonnen PE, Froukh T, Groeschel S, Krägeloh-Mann I, Haack TB, Distelmaier F. Human COQ4 deficiency: delineating the clinical, metabolic and neuroimaging phenotypes. J Med Genet 2022; 59:878-887. [PMID: 34656997 PMCID: PMC9807242 DOI: 10.1136/jmedgenet-2021-107729] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 09/26/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND Human coenzyme Q4 (COQ4) is essential for coenzyme Q10 (CoQ10) biosynthesis. Pathogenic variants in COQ4 cause childhood-onset neurodegeneration. We aimed to delineate the clinical spectrum and the cellular consequences of COQ4 deficiency. METHODS Clinical course and neuroradiological findings in a large cohort of paediatric patients with COQ4 deficiency were analysed. Functional studies in patient-derived cell lines were performed. RESULTS We characterised 44 individuals from 36 families with COQ4 deficiency (16 newly described). A total of 23 different variants were identified, including four novel variants in COQ4. Correlation analyses of clinical and neuroimaging findings revealed three disease patterns: type 1: early-onset phenotype with neonatal brain anomalies and epileptic encephalopathy; type 2: intermediate phenotype with distinct stroke-like lesions; and type 3: moderate phenotype with non-specific brain pathology and a stable disease course. The functional relevance of COQ4 variants was supported by in vitro studies using patient-derived fibroblast lines. Experiments revealed significantly decreased COQ4 protein levels, reduced levels of cellular CoQ10 and elevated levels of the metabolic intermediate 6-demethoxyubiquinone. CONCLUSION Our study describes the heterogeneous clinical presentation of COQ4 deficiency and identifies phenotypic subtypes. Cell-based studies support the pathogenic characteristics of COQ4 variants. Due to the insufficient clinical response to oral CoQ10 supplementation, alternative treatment strategies are warranted.
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Affiliation(s)
- Lucia Laugwitz
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany,Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, Tübingen, Germany
| | - Annette Seibt
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
| | - Diran Herebian
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
| | - Susana Peralta
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Imke Kienzle
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, Tübingen, Germany
| | - Rebecca Buchert
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Ruth Falb
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Darja Gauck
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Amelie Müller
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Mona Grimmel
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Stefanie Beck-Woedel
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Jan Kern
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, Tübingen, Germany
| | - Karim Daliri
- Child Developmental Center, Shiraz University of Medical Sciences, Shiraz, Iran,Institute for Neurophysiology, University of Cologne, Medical Faculty, Cologne, Germany
| | - Pegah Katibeh
- Child Developmental Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Katharina Danhauser
- Institute of Human Genetics, Technische Universität München, Munich, Germany,Helmholtz Zentrum Muenchen, Deutsches Forschungszentrum fuer Gesundheit und Umwelt (GmbH), Neuherberg, Germany
| | - Steffen Leiz
- Pediatric Neurology, Department of Pediatrics, Klinikum Dritter Orden, Munich, Germany
| | - Viola Alesi
- Laboratory of Medical Genetics, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | - Fabian Baertling
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
| | - Gessica Vasco
- Department of Neuroscience and Neurorehabilitation, Unit of Neurorehabilitation, IRCCS Bambino Gesù Children’s Hospital, Rome, Italy
| | | | - Matias Wagner
- Institute of Human Genetics, Technische Universität München, Munich, Germany,Helmholtz Zentrum Muenchen, Deutsches Forschungszentrum fuer Gesundheit und Umwelt (GmbH), Neuherberg, Germany
| | - Ahmet Okay Caglayan
- Department of Medical Genetics, School of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Hakan Gumus
- Department of Pediatrics, Erciyes University School of Medicine, Kayseri, Turkey
| | - Margit Burmeister
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, Michigan, USA
| | - Ertan Mayatepek
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
| | - Diego Martinelli
- Division of Metabolism, Bambino Gesù Children’s Hospital IRCCS, Rome, Italy
| | | | | | - Pascal Joset
- Medical Genetics, Institute of Medical Genetics and Pathology, University Hospital Basel, 4056 Basel, Switzerland
| | - Katharina Steindl
- Institute of Medical Genetics, University of Zurich, Zurich, Switzerland
| | - Anita Rauch
- Institute of Medical Genetics, University of Zurich, Zurich, Switzerland
| | - Penelope E Bonnen
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Tawfiq Froukh
- Department of Biotechnology and Genetic Engineering, Philadelphia University, Amman, Jordan
| | - Samuel Groeschel
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, Tübingen, Germany
| | - Ingeborg Krägeloh-Mann
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics, University of Tübingen, Tübingen, Germany
| | - Tobias B Haack
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany,Center for Rare Disease, University of Tübingen, Tübingen, Germany
| | - Felix Distelmaier
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
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16
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Pretzel P, Dhollander T, Chabrier S, Al-Harrach M, Hertz-Pannier L, Dinomais M, Groeschel S. Structural brain connectivity in children after neonatal stroke: A whole-brain fixel-based analysis. Neuroimage Clin 2022; 34:103035. [PMID: 35561553 PMCID: PMC9112015 DOI: 10.1016/j.nicl.2022.103035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 04/16/2022] [Accepted: 05/04/2022] [Indexed: 11/30/2022]
Abstract
Neonatal arterial ischemic stroke affects white matter distant from the lesion. Alterations are located ipsilesionally and in interhemispheric connections. Manual dexterity correlates with these structural impairments. The disseminated effects are therefore functionally relevant. Neonatal arterial ischemic stroke is a developmental network injury.
Introduction Neonatal arterial ischemic stroke (NAIS) has been shown to affect white matter (WM) microstructure beyond the lesion. Here, we employed fixel-based analysis, a technique which allows to model and interpret WM alterations in complex arrangements such as crossing fibers, to further characterize the long-term effects of NAIS on the entire WM outside the primary infarct area. Materials and methods 32 children (mean age 7.3 years (SD 0.4), 19 male) with middle cerebral artery NAIS (18 left hemisphere, 14 right hemisphere) and 31 healthy controls (mean age 7.7 years (SD 0.6), 16 male) underwent diffusion MRI scans and clinical examination for manual dexterity. Microstructural and macrostructural properties of the WM were investigated in a fixel-based whole-brain analysis, which allows to detect fiber-specific effects. Additionally, tract-averaged fixel metrics in interhemispheric tracts, and their correlation with manual dexterity, were examined. Results Significantly reduced microstructural properties were identified, located within the parietal and temporal WM of the affected hemisphere, as well as within their interhemispheric connecting tracts. Tract-averaged fixel metrics showed moderate, significant correlation with manual dexterity of the affected hand. No increased fixel metrics or contralesional alterations were observed. Discussion Our results show that NAIS leads to long-term alterations in WM microstructure distant from the lesion site, both within the parietal and temporal lobes as well as in their interhemispheric connections. The functional significance of these findings is demonstrated by the correlations with manual dexterity. The localization of alterations in structures highly connected to the lesioned areas shift our perception of NAIS from a focal towards a developmental network injury.
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Affiliation(s)
- Pablo Pretzel
- Department of Child Neurology, Paediatric Neuroimaging, University Hospital, Tübingen, Germany.
| | - Thijs Dhollander
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia
| | | | | | - Lucie Hertz-Pannier
- UNIACT/Neurospin/JOLIOT/DRF/CEA-Saclay, and U1141 NeuroDiderot/Inserm, CEA, Paris University, France
| | - Mickael Dinomais
- Department of Physical and Rehabilitation Medicine, University Hospital, CHU Angers, France
| | - Samuel Groeschel
- Department of Child Neurology, Paediatric Neuroimaging, University Hospital, Tübingen, Germany
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17
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Laugwitz L, Santhanakumaran V, Spieker M, Boehringer J, Bender B, Gieselmann V, Beck‐Woedl S, Bruchelt G, Harzer K, Kraegeloh‐Mann I, Groeschel S. Extremely low arylsulfatase A enzyme activity does not necessarily cause symptoms: A long‐term follow‐up and review of the literature. JIMD Rep 2022; 63:292-302. [PMID: 35822086 PMCID: PMC9259399 DOI: 10.1002/jmd2.12293] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 04/04/2022] [Accepted: 04/19/2022] [Indexed: 01/22/2023] Open
Abstract
Metachromatic leukodystrophy (MLD) is an autosomal recessive lysosomal storage disease caused by deficiency of arylsulfatase A (ARSA). Heterozygous carriers of disease‐causing variants and individuals harbouring pseudodeficiency alleles in the ARSA gene exhibit reduced ARSA activity. In the context of these genotypes, low ARSA activity has been suggested to lead to an atypical form of MLD or other neurological abnormalities, but data are limited. The aim of our study was to analyse the impact of low ARSA activity in two subjects who are heterozygous for the ARSA pseudodeficiency allele and a disease‐causing variant. Biochemical testing included ARSA activity measurements and urinary sulfatide analysis. Biochemical data of a large cohort of MLD patients, heterozygotes, pseudodeficient individuals and healthy controls were analysed. MRI was performed at 3T using T1‐ and T2‐weighted sequences and MR spectroscopy. We present two long‐term follow‐ups who are heterozygous for the ARSA pseudodeficiency allele and a disease‐causing variant in the ARSA gene in cis. The two related index cases exhibit markedly reduced ARSA activity compared to controls and heterozygous carriers. The neurological evaluation and MRI do not reveal any abnormalities. Our data underline that extremely low enzyme activity due to a pseudodeficiency allele and a disease‐causing variant in the ARSA gene even in cis does not lead to clinical symptoms or pre‐symptomatic MRI changes suspicious for MLD. The review of literature corroborates that any association of low ARSA activity with disease features remains questionable. It seems important to combine the measurement of ARSA activity with elevated sulfatide as well as genetic testing, as done in current newborn screening approaches. Heterozygosity for metachromatic leukodystrophy and an arylsulfatase A pseudodeficiency allele does not cause neurological or neuropsychiatric features.
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Affiliation(s)
- Lucia Laugwitz
- Institute of Medical Genetics and Applied Genomics University of Tübingen Tübingen Germany
- Department of Neuropediatrics, Developmental Neurology and Social Paediatrics University of Tübingen Tübingen Germany
| | - Vidiyaah Santhanakumaran
- Department of Neuropediatrics, Developmental Neurology and Social Paediatrics University of Tübingen Tübingen Germany
| | - Mareike Spieker
- Department of Neuropediatrics, Developmental Neurology and Social Paediatrics University of Tübingen Tübingen Germany
| | - Judith Boehringer
- Department of Neuropediatrics, Developmental Neurology and Social Paediatrics University of Tübingen Tübingen Germany
| | - Benjamin Bender
- Diagnostic and Interventional Neuroradiology Radiologic Clinics, University of Tübingen Tübingen Germany
| | - Volkmar Gieselmann
- Institute of Biochemistry and Molecular Biology University of Bonn Bonn Germany
| | - Stefanie Beck‐Woedl
- Institute of Medical Genetics and Applied Genomics University of Tübingen Tübingen Germany
| | - Gernot Bruchelt
- Department of Neuropediatrics, Developmental Neurology and Social Paediatrics University of Tübingen Tübingen Germany
| | - Klaus Harzer
- Department of Neuropediatrics, Developmental Neurology and Social Paediatrics University of Tübingen Tübingen Germany
| | - Ingeborg Kraegeloh‐Mann
- Department of Neuropediatrics, Developmental Neurology and Social Paediatrics University of Tübingen Tübingen Germany
| | - Samuel Groeschel
- Department of Neuropediatrics, Developmental Neurology and Social Paediatrics University of Tübingen Tübingen Germany
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18
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Cabanillas Stanchi KM, Böhringer J, Strölin M, Groeschel S, Lenglinger K, Treuner C, Kehrer C, Laugwitz L, Bevot A, Kaiser N, Schumm M, Lang P, Handgretinger R, Krägeloh-Mann I, Müller I, Döring M. Hematopoietic stem cell transplantation with mesenchymal stromal cells in children with metachromatic leukodystrophy. Stem Cells Dev 2022; 31:163-175. [PMID: 35323019 DOI: 10.1089/scd.2021.0352] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Metachromatic leukodystrophy (MLD) is a lysosomal storage disorder primarily affecting the white matter of the nervous system that results from a deficiency of the arylsulfatase A (ARSA). Mesenchymal stem cells (MSCs) are able to secrete ARSA and have shown beneficial effects in MLD patients. In this retrospective analysis, 10 pediatric MLD patients (MSCG) underwent allogeneic hematopoietic stem cell transplantation (HSCT) and received two applications of 2 x 106 MSCs/kg bodyweight at day +30 and +60 after HSCT between 2007 and 2018. MSC safety, occurrence of graft-versus-host disease (GvHD), blood ARSA levels, chimerism, cell regeneration and engraftment, MRI changes, and the gross motor function were assessed within the first year of HSCT. The long-term data included clinical outcomes and safety aspects of MSCs. Data were compared to a control cohort of seven pediatric MLD patients (CG) who underwent HSCT only. The application of MSC in pediatric MLD patients after allogeneic HSCT was safe and well tolerated and long-term potentially MSC-related adverse effects up to 13.5 years after HSCT were not observed. Patients achieved significantly higher ARSA levels (CG: median 1.03 nmol∙10-6, range 0.41-1.73 | MSCG: median 1.58 nmol∙10-6, range 0.44-2.6; p<0.05), as well as significantly higher leukocyte (p<0.05) and thrombocyte (p<0.001) levels within 365 days of MSC application compared to CG patients. Statistically significant effects on acute GvHD, regeneration of immune cells, engraftment, MRI changes, gross motor function, and clinical outcomes were not detected. In conclusion, the application of MSCs in pediatric MLD patients after allogeneic HSCT was safe and well tolerated. The two applications of 2 x 106/kg allogeneic MSCs were followed by improved engraftment and hematopoiesis within the first year after HSCT. Larger, prospective trials are necessary to evaluate the impact of MSC application on engraftment and hematopoietic recovery.
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Affiliation(s)
| | - Judith Böhringer
- University Children's Hospital Tübingen, Dpt. III - Neuropediatrics, Germany;
| | - Manuel Strölin
- University Children's Hospital Tübingen, Dpt. III - Neuropediatrics, Germany;
| | - Samuel Groeschel
- University Children's Hospital Tübingen, Dpt. III - Neuropediatrics, Germany;
| | - Katrin Lenglinger
- University Children's Hospital Tübingen, Dpt. I - General Pediatrics, Hematology and Oncology, Germany;
| | - Claudia Treuner
- University Children's Hospital Tübingen, Dpt. I - General Pediatrics, Hematology and Oncology, Germany;
| | - Christiane Kehrer
- University Children's Hospital Tübingen, Dpt. I - General Pediatrics, Hematology and Oncology, Germany;
| | - Lucia Laugwitz
- University Children's Hospital Tübingen, Dpt. III - Neuropediatrics, Germany;
| | - Andrea Bevot
- University Children's Hospital Tübingen, Dpt. III - Neuropediatrics, Germany;
| | - Nadja Kaiser
- University Children's Hospital Tübingen, Dpt. III - Neuropediatrics, Germany;
| | - Michael Schumm
- University Children's Hospital Tübingen, Dpt. I - General Pediatrics, Hematology and Oncology, Germany;
| | - Peter Lang
- University Children's Hospital Tübingen, Dpt. I - General Pediatrics, Hematology and Oncology, Germany;
| | - Rupert Handgretinger
- Children's University Hospital, Hematology/Oncology, Hoppe-Seyler-Str. 1, Tuebingen, Germany, 72076;
| | | | - Ingo Müller
- University Medical Center Hamburg-Eppendorf, 37734, Department of Pediatric Hematology and Oncology, Hamburg, Hamburg, Germany;
| | - Michaela Döring
- University Children's Hospital Tübingen, Dpt. I - General Pediatrics, Hematology and Oncology, Germany;
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19
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Beerepoot S, Wolf NI, Wehner K, Bender B, van der Knaap MS, Krägeloh-Mann I, Groeschel S. Acute-onset paralytic strabismus in toddlers is important to consider as a potential early sign of late-infantile Metachromatic Leukodystrophy. Eur J Paediatr Neurol 2022; 37:87-93. [PMID: 35152000 DOI: 10.1016/j.ejpn.2022.01.020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 11/30/2021] [Accepted: 01/29/2022] [Indexed: 02/07/2023]
Abstract
OBJECTIVES Metachromatic leukodystrophy (MLD) is a fatal lysosomal storage disease characterized by progressive demyelination within the central and peripheral nervous system. Rapid diagnosis is crucial in view of evolving therapeutic options. Strabismus has anecdotally been described as a feature in children with MLD. Our first aim was to examine the prevalence of strabismus as an early or even presenting sign of MLD in two nationwide cohorts. Second, we aimed to investigate the temporal relation between the onset of strabismus and gross motor deterioration, other early onset eye movement disorders and brain white matter abnormalities. METHODS Clinical records of 204 MLD patients at the University Children's Hospital Tubingen and Amsterdam University Medical Center were reviewed on the presence of strabismus and other eye movement disorders. Gross motor deterioration and white matter abnormalities on brain MRI were evaluated by using the Gross Motor Function Classification in MLD and MLD LOES score, respectively. RESULTS We identified strabismus as an early sign in MLD patients with the late-infantile form, with a prevalence of 27% (N = 17). The onset of strabismus preceded gross motor symptoms and brain white matter abnormalities in 71% and 46% respectively of the cases. Important characteristics were an acute-onset paralytic esotropia, partly accompanied by other eye movement abnormalities, and gadolinium enhancement of the cranial nerves. CONCLUSIONS Acute-onset paralytic strabismus in toddlers should be considered a potential early sign of late-infantile MLD and might result from early cranial nerve involvement. Brain MRI with gadolinium contrast may facilitate early diagnosis.
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Affiliation(s)
- Shanice Beerepoot
- Amsterdam Leukodystrophy Center, Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Center, VU University Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, the Netherlands; Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.
| | - Nicole I Wolf
- Amsterdam Leukodystrophy Center, Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Center, VU University Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands.
| | - Katharina Wehner
- Department of Paediatric Neurology and Developmental Medicine, University Children's Hospital, Tübingen, Germany Hoppe-Seyler-Straße 1, 72076, Tübingen, Germany.
| | - Benjamin Bender
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Hoppe-Seyler-Straße 3, Tübingen, Germany.
| | - Marjo S van der Knaap
- Amsterdam Leukodystrophy Center, Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Center, VU University Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands; Department of Functional Genomics, Center for Neurogenomics and Cognitive Research, VU University, De Boelelaan 1085, Amsterdam, the Netherlands.
| | - Ingeborg Krägeloh-Mann
- Department of Paediatric Neurology and Developmental Medicine, University Children's Hospital, Tübingen, Germany Hoppe-Seyler-Straße 1, 72076, Tübingen, Germany.
| | - Samuel Groeschel
- Department of Paediatric Neurology and Developmental Medicine, University Children's Hospital, Tübingen, Germany Hoppe-Seyler-Straße 1, 72076, Tübingen, Germany.
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20
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Schoenmakers DH, Beerepoot S, van den Berg S, Adang L, Bley A, Boelens JJ, Fumagalli F, Goettsch WG, Grønborg S, Groeschel S, van Hasselt PM, Hollak CEM, Lindemans C, Mochel F, Mol PGM, Sevin C, Zerem A, Schöls L, Wolf NI. Modified Delphi procedure-based expert consensus on endpoints for an international disease registry for Metachromatic Leukodystrophy: The European Metachromatic Leukodystrophy initiative (MLDi). Orphanet J Rare Dis 2022; 17:48. [PMID: 35164810 PMCID: PMC8842918 DOI: 10.1186/s13023-022-02189-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 01/30/2022] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Metachromatic Leukodystrophy (MLD) is a rare lysosomal disorder. Patients suffer from relentless neurological deterioration leading to premature death. Recently, new treatment modalities, including gene therapy and enzyme replacement therapy, have been developed. Those advances increase the need for high-quality research infrastructure to adequately compare treatments, execute post-marketing surveillance, and perform health technology assessments (HTA). To facilitate this, a group of MLD experts started the MLD initiative (MLDi) and initiated an academia-led European MLD registry: the MLDi. An expert-based consensus procedure, namely a modified Delphi procedure, was used to determine the data elements required to answer academic, regulatory, and HTA research questions. RESULTS Three distinct sets of data elements were defined by the 13-member expert panel. The minimal set (n = 13) contained demographics and basic disease characteristics. The core set (n = 55) included functional status scores in terms of motor, manual, speech and eating abilities, and causal and supportive treatment characteristics. Health-related quality of life scores were included that were also deemed necessary for HTA. The optional set (n = 31) contained additional clinical aspects, such as findings at neurological examination, detailed motor function, presence of peripheral neuropathy, gall bladder involvement and micturition. CONCLUSION Using a modified Delphi procedure with physicians from the main expert centers, consensus was reached on a core set of data that can be collected retrospectively and prospectively. With this consensus-based approach, an important step towards harmonization was made. This unique dataset will support knowledge about the disease and facilitate regulatory requirements related to the launch of new treatments.
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Affiliation(s)
- Daphne H Schoenmakers
- Amsterdam Leukodystrophy Center, Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Department of Endocrinology and Metabolism, Amsterdam University Medical Centers, Amsterdam, The Netherlands
- Medicine for Society, Platform at Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Shanice Beerepoot
- Amsterdam Leukodystrophy Center, Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
- Nierkens and Lindemans group, Princess Máxima Center for pediatric oncology, Utrecht, The Netherlands
| | - Sibren van den Berg
- Department of Endocrinology and Metabolism, Amsterdam University Medical Centers, Amsterdam, The Netherlands
- Medicine for Society, Platform at Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Laura Adang
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Annette Bley
- University Children's Hospital, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Jaap-Jan Boelens
- Stem Cell Transplantation and Cellular Therapies Program, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Francesca Fumagalli
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget); IRCCS, San Raffaele Scientific Institute, Milan, Italy
| | - Wim G Goettsch
- Zorginstituut Nederland (Dutch Health Care Institute), Diemen, The Netherlands
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht University, Utrecht, The Netherlands
| | - Sabine Grønborg
- Centre for Inherited Metabolic Diseases, Copenhagen University Hospital (Rigshospitalet), Copenhagen, Denmark
| | - Samuel Groeschel
- Department of Paediatric Neurology and Developmental Medicine, University Children's Hospital, Tübingen, Germany
| | - Peter M van Hasselt
- Department of Pediatric Metabolic Diseases, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Carla E M Hollak
- Department of Endocrinology and Metabolism, Amsterdam University Medical Centers, Amsterdam, The Netherlands
- Medicine for Society, Platform at Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Caroline Lindemans
- Nierkens and Lindemans group, Princess Máxima Center for pediatric oncology, Utrecht, The Netherlands
- Department of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Fanny Mochel
- INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau Et de La Moelle Épinière, ICM, 75013, Paris, France
- Department of Genetics, Center for Neurometabolic Diseases, AP-HP, La Pitié-Salpêtrière University Hospital, 47 Boulevard de l'Hôpital, 75013, Paris, France
| | - Peter G M Mol
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Dutch Medicines Evaluation Board, Utrecht, The Netherlands
| | - Caroline Sevin
- NeuroGenCell, Institut du Cerveau et de la Moelle Épinière, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- Bicêtre Hospital, Neuropediatrics Unit, Le Kremlin Bicêtre, Paris, France
| | - Ayelet Zerem
- Pediatric Neurology Institute, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel
| | - Ludger Schöls
- Department of Neurology and Hertie-Institute for Clinical Brain Research, University of Tübingen, 72076, Tübingen, Germany
- German Center of Neurodegenerative Diseases, 72076, Tübingen, Germany
| | - Nicole I Wolf
- Amsterdam Leukodystrophy Center, Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands.
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21
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Laugwitz L, Zizmare L, Santhanakumaran V, Cannet C, Böhringer J, Okun JG, Spraul M, Krägeloh‐Mann I, Groeschel S, Trautwein C. Identification of neurodegeneration indicators and disease progression in metachromatic leukodystrophy using quantitative
NMR
‐based urinary metabolomics. JIMD Rep 2022; 63:168-180. [PMID: 35281658 PMCID: PMC8898726 DOI: 10.1002/jmd2.12273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 01/03/2022] [Accepted: 01/12/2022] [Indexed: 11/06/2022] Open
Abstract
Metachromatic leukodystrophy (MLD) is a lysosomal storage disease caused by a deficiency of the arylsulfatase A (ARSA). ARSA deficiency leads to an accumulation of sulfatides primarily in the nervous system ultimately causing demyelination. With evolving therapeutic options, there is an increasing need for indicators to evaluate disease progression. Here, we report targeted metabolic urine profiling of 56 MLD patients including longitudinal sampling, using 1H (proton) nuclear magnetic resonance (NMR) spectroscopy. 1H‐NMR urine spectra of 119 MLD samples and 323 healthy controls were analyzed by an in vitro diagnostics research (IVDr) tool, covering up to 50 endogenous and 100 disease‐related metabolites on a 600‐MHz IVDr NMR spectrometer. Quantitative data reports were analyzed regarding age of onset, clinical course, and therapeutic intervention. The NMR data reveal metabolome changes consistent with a multiorgan affection in MLD patients in comparison to controls. In the MLD cohort, N‐acetylaspartate (NAA) excretion in urine is elevated. Early onset MLD forms show a different metabolic profile suggesting a metabolic shift toward ketogenesis in comparison to late onset MLD and controls. In samples of juvenile MLD patients who stabilize clinically after hematopoietic stem cell transplantation (HSCT), the macrophage activation marker neopterin is elevated. We were able to identify different metabolic patterns reflecting variable organ disturbances in MLD, including brain and energy metabolism and inflammatory processes. We suggest NAA in urine as a quantitative biomarker for neurodegeneration. Intriguingly, elevated neopterin after HSCT supports the hypothesis that competent donor macrophages are crucial for favorable outcome.
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Affiliation(s)
- Lucia Laugwitz
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics University of Tuebingen Tuebingen Germany
| | - Laimdota Zizmare
- Werner Siemens Imaging Center University of Tuebingen Tuebingen Germany
| | - Vidiyaah Santhanakumaran
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics University of Tuebingen Tuebingen Germany
| | | | - Judith Böhringer
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics University of Tuebingen Tuebingen Germany
| | - Jürgen G. Okun
- Dietmar‐Hopp Metabolic Center Children's Hospital Heidelberg Heidelberg Germany
| | - Manfred Spraul
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics University of Tuebingen Tuebingen Germany
| | - Ingeborg Krägeloh‐Mann
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics University of Tuebingen Tuebingen Germany
| | - Samuel Groeschel
- Department of Neuropediatrics, Developmental Neurology and Social Pediatrics University of Tuebingen Tuebingen Germany
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22
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Martin P, Hagberg GE, Schultz T, Harzer K, Klose U, Bender B, Nägele T, Scheffler K, Krägeloh-Mann I, Groeschel S. T2-Pseudonormalization and Microstructural Characterization in Advanced Stages of Late-infantile Metachromatic Leukodystrophy. Clin Neuroradiol 2021; 31:969-980. [PMID: 33226437 PMCID: PMC8648649 DOI: 10.1007/s00062-020-00975-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 10/27/2020] [Indexed: 11/24/2022]
Abstract
PURPOSE T2-weighted signal hyperintensities in white matter (WM) are a diagnostic finding in brain magnetic resonance imaging (MRI) of patients with metachromatic leukodystrophy (MLD). In our systematic investigation of the evolution of T2-hyperintensities in patients with the late-infantile form, we describe and characterize T2-pseudonormalization in the advanced stage of the natural disease course. METHODS The volume of T2-hyperintensities was quantified in 34 MRIs of 27 children with late-infantile MLD (median age 2.25 years, range 0.5-5.2 years). In three children with the most advanced clinical course (age >4 years) and for whom the T2-pseudonormalization was the most pronounced, WM microstructure was investigated using a multimodal MRI protocol, including diffusion-weighted imaging, MR spectroscopy (MRS), myelin water fraction (MWF), magnetization transfer ratio (MTR), T1-mapping and quantitative susceptibility mapping. RESULTS T2-hyperintensities in cerebral WM returned to normal in large areas of 3 patients in the advanced disease stage. Multimodal assessment of WM microstructure in areas with T2-pseudonormalization revealed highly decreased values for NAA, neurite density, isotropic water, mean and radial kurtosis, MWF and MTR, as well as increased radial diffusivity. CONCLUSION In late-infantile MLD patients, we found T2-pseudonormalization in WM tissue with highly abnormal microstructure characterizing the most advanced disease stage. Pathological hallmarks might be a loss of myelin, but also neuronal loss as well as increased tissue density due to gliosis and accumulated storage material. These results suggest that a multimodal MRI protocol using more specific microstructural parameters than T2-weighted sequences should be used when evaluating the effect of treatment trials in MLD.
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Affiliation(s)
- Pascal Martin
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.
| | - Gisela E Hagberg
- High Field Magnetic Resonance, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany
- Biomedical Magnetic Resonance, University Hospital, Tübingen, Germany
| | - Thomas Schultz
- B-IT and Institute of Computer Science, University of Bonn, Bonn, Germany
| | - Klaus Harzer
- Department of Neuropediatrics, University Children's Hospital, Tübingen, Germany
| | - Uwe Klose
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Tübingen, Germany
| | - Benjamin Bender
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Tübingen, Germany
| | - Thomas Nägele
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Tübingen, Germany
| | - Klaus Scheffler
- High Field Magnetic Resonance, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany
- Biomedical Magnetic Resonance, University Hospital, Tübingen, Germany
| | | | - Samuel Groeschel
- Department of Neuropediatrics, University Children's Hospital, Tübingen, Germany
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23
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Kerscher SR, Zipfel J, Groeschel S, Bevot A, Haas-Lude K, Schuhmann MU. Comparison of B-Scan Ultrasound and MRI-Based Optic Nerve Sheath Diameter (ONSD) Measurements in Children. Pediatr Neurol 2021; 124:15-20. [PMID: 34508997 DOI: 10.1016/j.pediatrneurol.2021.08.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 07/09/2021] [Accepted: 08/08/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Qualitative, noninvasive assessment of intracranial pressure is of eminent importance in pediatric patients in many clinical situations and can reliably be performed using transorbital ultrasonographic measurement of the optic nerve sheath diameter (ONSD). MRI-based determination of ONSD can serve as an alternative if ultrasound (US) is not possible or available for various reasons, for example, in small, incompliant children. This study investigates repeatability and observer reliability of US ONSD and correlation and bias of US- versus MRI-based ONSD assessment in pediatric patients. METHODS One hundred fifty children diagnosed with tumor (n = 40), hydrocephalus (n = 42), and other cranial pathologies (n = 68) were included. Bilateral ONSD was quantified by US using a 12-MHz linear array transducer. This was compared with ONSD measured in simultaneously acquired (≤24 h) T2-weighted MRI scans of the orbit. RESULTS Repeatability of individual US values and intraobserver ONSD was outstanding (Cronbach's α = 0.984 and 0.996, respectively). Overall mean values for ONSD were 5.8 ± 0.88 mm and 5.7 ± 0.89 mm for US and MRI, respectively. Correlation between US and MRI-based ONSD was strong (r = 0.976, P < 0.01). Bland and Altman analysis showed a mean bias of 0.078 mm. A repeated-measures correlation (rrm) in 9 patients showed an excellent value (rrm = 0.94, P < 0.01). CONCLUSIONS Repeatability and reliability of US ONSD determination is excellent. In case US ONSD assessment is not possible or available, MRI scans can serve as an excellent alternative. The difference of US and MRI ONSD is minimal and insignificant, and thus, both techniques can complement each other.
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Affiliation(s)
- Susanne R Kerscher
- Division of Pediatric Neurosurgery, Department of Neurosurgery, University Hospital of Tuebingen, Tübingen, Germany.
| | - Julian Zipfel
- Division of Pediatric Neurosurgery, Department of Neurosurgery, University Hospital of Tuebingen, Tübingen, Germany
| | - Samuel Groeschel
- Department of Pediatric Neurology and Developmental Medicine, University Children's Hospital of Tuebingen, Tübingen, Germany
| | - Andrea Bevot
- Department of Pediatric Neurology and Developmental Medicine, University Children's Hospital of Tuebingen, Tübingen, Germany
| | - Karin Haas-Lude
- Department of Pediatric Neurology and Developmental Medicine, University Children's Hospital of Tuebingen, Tübingen, Germany
| | - Martin U Schuhmann
- Division of Pediatric Neurosurgery, Department of Neurosurgery, University Hospital of Tuebingen, Tübingen, Germany
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24
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Groeschel S, Krägeloh-Mann I. Author Response: Association of Age at Onset and First Symptoms With Disease Progression in Patients With Metachromatic Leukodystrophy. Neurology 2021; 97:459. [PMID: 34534100 DOI: 10.1212/wnl.0000000000012507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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25
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Ammann-Schnell L, Groeschel S, Kehrer C, Frölich S, Krägeloh-Mann I. The impact of severe rare chronic neurological disease in childhood on the quality of life of families-a study on MLD and PCH2. Orphanet J Rare Dis 2021; 16:211. [PMID: 33971942 PMCID: PMC8111977 DOI: 10.1186/s13023-021-01828-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 04/20/2021] [Indexed: 11/12/2022] Open
Abstract
Background Rare and severe neurological disorders in childhood not only heavily affect the life perspective of the patients, but also their caregivers and families. The aim of this study was to investigate the impact of such diseases on the family, especially on the quality of life and life perspectives of parents, but also on the families’ everyday life, based on the model of two diseases which have been well described in recent years with respect to symptoms and course: metachromatic leukodystrophy (MLD) and pontocerebellar hypoplasia type 2 (PCH2). PCH2 is a primary severe developmental disorder, while children with MLD initially develop normally and then progressively deteriorate. Methods Using a semi-standardized questionnaire, 43 families with children suffering from MLD (n = 30) or PCH2 (n = 19) reported data on the severity of the illness/symptoms, on family support and the care situation, as well as on the circumstances of non-affected siblings and the parents’ work situation. In addition, the quality of life of parents and general family functioning was assessed using the PedsQL™ Family Impact Module [23]. Results for the latter were compared to published data from families with children without any chronic condition using student’s t-tests for independent samples. Potential factors influencing the PedsQL™ scores were analyzed using Spearman’s rank correlation. Results Parents of children with MLD and PCH2 reported significantly lower health-related quality of life (HRQOL) compared to parents of healthy children (P < 0.001). Mothers showed significantly poorer HRQOL (P < 0.05) and were significantly more dissatisfied with their professional development (P < 0.05) than fathers, and this was seen in relation to their child's disease. Neither the form of disease (‘primary’ symptomatic PCH2 or ‘secondary’ symptomatic MLD), nor the severity of the child’s illness (in terms of gross motor and speech function) had a specific impact on HRQOL in families. However, the time from diagnosis and advanced symptoms in the terminal disease stage were experienced as especially distressing. Conclusions This study illustrates that MLD and PCH2 affect mothers in particular, but also the entire family. This underlines the need for personalized care and counselling of parents and families, especially following diagnosis and during the end stage in a child with a severe, rare chronic neurological disorder.
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Affiliation(s)
- Louisa Ammann-Schnell
- Department of Child Neurology, Children's Hospital, University of Tübingen, Hoppe-Seyler-Str. 1, 72072, Tübingen, Germany
| | - Samuel Groeschel
- Department of Child Neurology, Children's Hospital, University of Tübingen, Hoppe-Seyler-Str. 1, 72072, Tübingen, Germany.
| | - Christiane Kehrer
- Department of Child Neurology, Children's Hospital, University of Tübingen, Hoppe-Seyler-Str. 1, 72072, Tübingen, Germany
| | - Saskia Frölich
- Department of Child Neurology, Children's Hospital, University of Tübingen, Hoppe-Seyler-Str. 1, 72072, Tübingen, Germany
| | - Ingeborg Krägeloh-Mann
- Department of Child Neurology, Children's Hospital, University of Tübingen, Hoppe-Seyler-Str. 1, 72072, Tübingen, Germany
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26
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Al Harrach M, Pretzel P, Groeschel S, Rousseau F, Dhollander T, Hertz-Pannier L, Lefevre J, Chabrier S, Dinomais M. A connectome-based approach to assess motor outcome after neonatal arterial ischemic stroke. Ann Clin Transl Neurol 2021; 8:1024-1037. [PMID: 33787079 PMCID: PMC8108427 DOI: 10.1002/acn3.51292] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 12/08/2020] [Accepted: 12/09/2020] [Indexed: 12/22/2022] Open
Abstract
Objective Studies of motor outcome after Neonatal Arterial Ischemic Stroke (NAIS) often rely on lesion mapping using MRI. However, clinical measurements indicate that motor deficit can be different than what would solely be anticipated by the lesion extent and location. Because this may be explained by the cortical disconnections between motor areas due to necrosis following the stroke, the investigation of the motor network can help in the understanding of visual inspection and outcome discrepancy. In this study, we propose to examine the structural connectivity between motor areas in NAIS patients compared to healthy controls in order to define the cortical and subcortical connections that can reflect the motor outcome. Methods Thirty healthy controls and 32 NAIS patients with and without Cerebral Palsy (CP) underwent MRI acquisition and manual assessment. The connectome of all participants was obtained from T1‐weighted and diffusion‐weighted imaging. Results Significant disconnections in the lesioned and contra‐lesioned hemispheres of patients were found. Furthermore, significant correlations were detected between the structural connectivity metric of specific motor areas and manuality assessed by the Box and Block Test (BBT) scores in patients. Interpretation Using the connectivity measures of these links, the BBT score can be estimated using a multiple linear regression model. In addition, the presence or not of CP can also be predicted using the KNN classification algorithm. According to our results, the structural connectome can be an asset in the estimation of gross manual dexterity and can help uncover structural changes between brain regions related to NAIS.
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Affiliation(s)
- Mariam Al Harrach
- Université d'Angers, Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS) EA7315, Angers, 49000, France.,Université de Rennes 1, Laboratoire Traitement du Signal et de l'Image (LTSI), INSERM U1099, Rennes, F-35000, France
| | - Pablo Pretzel
- Experimental Paediatric Neuroimaging, Department of Child Neurology, University Hospital Tübingen, Tübingen, Germany
| | - Samuel Groeschel
- Experimental Paediatric Neuroimaging, Department of Child Neurology, University Hospital Tübingen, Tübingen, Germany
| | | | - Thijs Dhollander
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia
| | - Lucie Hertz-Pannier
- UNIACT, Neurospin, Institut Joliot, CEA-Paris Saclay, Inserm U114, Université de Paris, Gif sur Yvette, F-91191, France
| | - Julien Lefevre
- Institut de Neurosciences de la Timone, UMR 7289, Aix Marseille Université, CNRS, Marseille, 13385, France
| | - Stéphane Chabrier
- INSERM, UMR1059 Sainbiose, Univ Saint-Étienne, Univ Lyon, Saint-Étienne, F-42023, France.,Paediatric Physical and Rehabilitation Medicine Department, CHU Saint-Étienne, French Centre for Paediatric Stroke, INSERM, CIC 1408, Saint-Étienne, F-42055, France
| | - Mickael Dinomais
- Université d'Angers, Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS) EA7315, Angers, 49000, France.,Département de Médecine Physique et de Réadaptions and LUNAM, CHU Angers, Angers, France
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27
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Beck‐Wödl S, Kehrer C, Harzer K, Haack TB, Bürger F, Haas D, Rieß A, Groeschel S, Krägeloh‐Mann I, Böhringer J. Long-term disease course of two patients with multiple sulfatase deficiency differs from metachromatic leukodystrophy in a broad cohort. JIMD Rep 2021; 58:80-88. [PMID: 33728250 PMCID: PMC7932862 DOI: 10.1002/jmd2.12189] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 10/27/2020] [Accepted: 11/12/2020] [Indexed: 12/16/2022] Open
Abstract
Multiple sulfatase deficiency (MSD) is a lysosomal storage disease caused by a deficiency of formylglycine-generating enzyme due to SUMF1 defects. MSD may be misdiagnosed as metachromatic leukodystrophy (MLD), as neurological and neuroimaging findings are similar, and arylsulfatase A (ARSA) deficiency and enhanced urinary sulfatide excretion may also occur. While ARSA deficiency seems a cause for neurological symptoms and later neurodegenerative disease course, deficiency of other sulfatases results in clinical features such as dysmorphism, dysostosis, or ichthyosis. We report on a girl and a boy of the same origin presenting with severe ARSA deficiency and neurological and neuroimaging features compatible with MLD. However, exome sequencing revealed not yet described homozygosity of the missense variant c.529G > C, p.Ala177Pro in SUMF1. We asked whether dynamics of disease course differs between MSD and MLD. Comparison to a cohort of 59 MLD patients revealed different disease course concerning onset and disease progression in both MSD patients. The MSD patients showed first gross motor symptoms earlier than most patients with juvenile MLD (<10th percentile of Gross-Motor-Function in MLD [GMFC-MLD] 1). However, subsequent motor decline was more protracted (75th and 90th percentile of GMFC-MLD 2 (loss of independent walking) and 75th percentile of GMFC-MLD 5 (loss of any locomotion)). Language decline started clearly after 50th percentile of juvenile MLD and progressed rapidly. Thus, dynamics of disease course may be a further clue for the characterization of MSD. These data may contribute to knowledge of natural course of ultra-rare MSD and be relevant for counseling and therapy.
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Affiliation(s)
- Stefanie Beck‐Wödl
- Institute of Medical Genetics and Applied GenomicsUniversity of TübingenTübingenGermany
| | - Christiane Kehrer
- Department of NeuropediatricsUniversity Children's HospitalTübingenGermany
| | - Klaus Harzer
- Department of NeuropediatricsUniversity Children's HospitalTübingenGermany
| | - Tobias B. Haack
- Institute of Medical Genetics and Applied GenomicsUniversity of TübingenTübingenGermany
| | | | - Dorothea Haas
- Metabolic CentreUniversity Children's HospitalHeidelbergGermany
| | - Angelika Rieß
- Institute of Medical Genetics and Applied GenomicsUniversity of TübingenTübingenGermany
| | - Samuel Groeschel
- Department of NeuropediatricsUniversity Children's HospitalTübingenGermany
| | | | - Judith Böhringer
- Department of NeuropediatricsUniversity Children's HospitalTübingenGermany
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28
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Reinhard C, Bachoud-Lévi AC, Bäumer T, Bertini E, Brunelle A, Buizer AI, Federico A, Gasser T, Groeschel S, Hermanns S, Klockgether T, Krägeloh-Mann I, Landwehrmeyer GB, Leber I, Macaya A, Mariotti C, Meissner WG, Molnar MJ, Nonnekes J, Ortigoza Escobar JD, Pérez Dueñas B, Renna Linton L, Schöls L, Schuele R, Tijssen MAJ, Vandenberghe R, Volkmer A, Wolf NI, Graessner H. The European Reference Network for Rare Neurological Diseases. Front Neurol 2021; 11:616569. [PMID: 33519696 PMCID: PMC7840612 DOI: 10.3389/fneur.2020.616569] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 11/30/2020] [Indexed: 12/16/2022] Open
Abstract
While rare diseases (RDs) are by definition of low prevalence, the total number of patients suffering from an RD is high, and the majority of them have neurologic manifestations, involving central, peripheral nerve, and muscle. In 2017, 24 European Reference Networks (ERNs), each focusing on a specific group of rare or low-prevalence complex diseases, were formed to improve the care for patients with an RD. One major aim is to have “the knowledge travel instead of the patient,” which has been put into practice by the implementation of the Clinical Patient Management System (CPMS) that enables clinicians to perform pan-European virtual consultations. The European Reference Network for Rare Neurological Diseases (ERN-RND) provides an infrastructure for knowledge sharing and care coordination for patients affected by a rare neurological disease (RND) involving the most common central nervous system pathological conditions. It covers the following disease groups: (i) Cerebellar Ataxias and Hereditary Spastic Paraplegias; (ii) Huntington's disease and Other Choreas; (iii) Frontotemporal dementia; (iv) Dystonia, (non-epileptic) paroxysmal disorders, and Neurodegeneration with Brain Iron Accumulation; (v) Leukoencephalopathies; and (vi) Atypical Parkinsonian Syndromes. At the moment, it unites 32 expert centers and 10 affiliated partners in 21 European countries, as well as patient representatives, but will soon cover nearly all countries of the European Union as a result of the ongoing expansion process. Disease expert groups developed and consented on diagnostic flowcharts and disease scales to assess the different aspects of RNDs. ERN-RND has started to discuss diagnostically unclear patients in the CPMS, is one of four ERNs that serve as foundation of Solve-RD, and has established an RND training and education program. The network will facilitate trial readiness through the establishment of an ERN-RND registry with a minimal data of all patients seen at the ERN-RND centers, thus providing a unique overview of existing genotype-based cohorts. The overall aim of the ERNs is to improve access for patients with RDs to quality diagnosis, care, and treatment. Based on this objective, ERNs are monitored by the European Commission on a regular basis to provide transparency and reassurance to the RD community and the general public.
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Affiliation(s)
- Carola Reinhard
- Institute for Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.,Centre for Rare Diseases, University Hospital Tübingen, Tübingen, Germany
| | - Anne-Catherine Bachoud-Lévi
- Assistance Publique-Hôpitaux de Paris, National Reference Center for Huntington's Disease, Neurology Department, Henri Mondor-Albert Chenevier Hospital, Créteil, France.,Département d'Etudes Cognitives, École normale supérieure, PSL University, Paris, France.,Inserm U955, Institut Mondor de Recherche Biomédicale, Equipe E01 NeuroPsychologie Interventionnelle, Créteil, France
| | - Tobias Bäumer
- Institute of Systems Motor Science, University of Lübeck, Lübeck, Germany.,Centre for Rare Diseases, University of Lübeck, Lübeck, Germany
| | - Enrico Bertini
- Unit of Neuromuscular and Neurodegenerative Disorders and Genetics and Rare Diseases Research Division, Bambino Gesù Children's Research Hospital, Instituto de Ricovero e Cura a Carattere Scientifico, Rome, Italy
| | - Alicia Brunelle
- Institute for Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.,Centre for Rare Diseases, University Hospital Tübingen, Tübingen, Germany
| | - Annemieke I Buizer
- Department of Rehabilitation Medicine, Amsterdam Movement Sciences and Emma Children's Hospital, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Antonio Federico
- Department of Medicine, Neurology, and Neurosciences, Medical School, University of Siena, Siena, Italy
| | - Thomas Gasser
- Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases, Tübingen, Germany
| | - Samuel Groeschel
- Department of Paediatric Neurology and Developmental Medicine, University Children's Hospital, Tübingen, Germany
| | - Sanja Hermanns
- Institute for Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.,Centre for Rare Diseases, University Hospital Tübingen, Tübingen, Germany
| | | | - Ingeborg Krägeloh-Mann
- Department of Paediatric Neurology and Developmental Medicine, University Children's Hospital, Tübingen, Germany
| | | | - Isabelle Leber
- Sorbonne Universités, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Centre for Rare or Early Dementias, IM2A, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Alfons Macaya
- Pediatric Neurology Department, Vall d'Hebron Research Institute and Neuroscience Institute, Autonomous University Barcelona, Barcelona, Spain
| | - Caterina Mariotti
- Unit of Medical Genetics and Neurogenetics, Fondazione Instituto de Ricovero e Cura a Carattere Scientifico Istituto Neurologico Carlo Besta, Milan, Italy
| | - Wassilios G Meissner
- CRMR AMS, Service de Neurologie des Maladies Neurodégénératives, CHU Bordeaux, France and Univ. Bordeaux, CNRS, IMN, UMR 5293, Bordeaux, France.,Department of Medicine, University of Otago, New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Maria Judit Molnar
- Institute of Genomic Medicine and Rare Disorders, Semmelweis University, Budapest, Hungary
| | - Jorik Nonnekes
- Department of Rehabilitation, Centre of Expertise for Parkinson and Movement Disorders, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Juan Dario Ortigoza Escobar
- Movement Disorders Unit, Institut de Recerca Sant Joan de Déu, and Centro de Investigación Biomédica en Red de Enfermedades Raras Instituto de Salud Carlos III (CIBERER-ISCIII), Barcelona, Spain
| | - Belen Pérez Dueñas
- Department of Pediatric Neurology, Hospital Vall d'Hebrón, Pediatric Neurology Research Group at Vall d'Hebrón Research Institute, Universitat Autonoma de Barcelona, Barcelona, Spain
| | | | - Ludger Schöls
- Department of Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Rebecca Schuele
- German Center for Neurodegenerative Diseases, Tübingen, Germany.,Department of Neurodegenerative Diseases, Center of Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Marina A J Tijssen
- Expertise Center Movement Disorders Groningen, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Rik Vandenberghe
- Neurology Service, University Hospitals Leuven, Leuven, Belgium.,Laboratory for Cognitive Neurology, Department of Neurosciences, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Anna Volkmer
- Division of Psychology and Language Sciences, University College London, London, United Kingdom.,Department of Therapy Services, University College London Hospitals National Health System Foundation Trust National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Nicole I Wolf
- Department of Child Neurology, Amsterdam Leukodystrophy Centre, Emma Children's Hospital, Amsterdam University Medical Centres, Vrije Universiteit, and Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Holm Graessner
- Institute for Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.,Centre for Rare Diseases, University Hospital Tübingen, Tübingen, Germany
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29
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Í Dali C, Groeschel S, Moldovan M, Farah MH, Krägeloh-Mann I, Wasilewski M, Li J, Barton N, Krarup C. Intravenous arylsulfatase A in metachromatic leukodystrophy: a phase 1/2 study. Ann Clin Transl Neurol 2020; 8:66-80. [PMID: 33332761 PMCID: PMC7818087 DOI: 10.1002/acn3.51254] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 10/12/2020] [Indexed: 01/05/2023] Open
Abstract
OBJECTIVE Metachromatic leukodystrophy (MLD) is an autosomal recessive lysosomal storage disease caused by deficient activity of arylsulfatase A (ASA), resulting in severe motor and cognitive dysfunction. This phase 1/2 study evaluated the safety and efficacy of intravenous (IV) recombinant human ASA (rhASA; HGT-1111, previously known as Metazym) in children with MLD. METHODS Thirteen children with MLD (symptom onset < 4 years of age) were enrolled in an open-label, nonrandomized, dose-escalation trial and received IV rhASA at 50, 100, or 200 U/kg body weight every 14 (± 4) days for 52 weeks (NCT00418561; NCT00633139). Eleven children continued to receive rhASA at 100 or 200 U/kg during a 24-month extension period (NCT00681811). Outcome measures included safety observations, changes in motor and cognitive function, and changes in nerve conduction and morphometry. RESULTS There were no serious adverse events considered related to IV rhASA. Motor function and developmental testing scores declined during the study in all dose groups; no significant differences were observed between groups. Nerve conduction studies and morphometric analysis indicated that peripheral nerve pathology did not worsen during the study in any dose group. INTERPRETATION IV rhASA was generally well tolerated. There was no evidence of efficacy in preventing motor and cognitive deterioration, suggesting that IV rhASA may not cross the blood-brain barrier in therapeutic quantities. The relative stability of peripheral nerve function during the study indicates that rhASA may be beneficial if delivered to the appropriate target site and supports the development of rhASA for intrathecal administration in MLD.
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Affiliation(s)
- Christine Í Dali
- Department of Clinical Genetics, Rigshospitalet, Copenhagen, Denmark
| | - Samuel Groeschel
- Department of Neuropediatrics, University Children's Hospital Tübingen, Tübingen, Germany
| | - Mihai Moldovan
- Department of Clinical Neurophysiology, Rigshospitalet, Copenhagen, Denmark.,Department of Neuroscience, University of Copenhagen, Copenhagen, Denmark
| | - Mohamed H Farah
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Ingeborg Krägeloh-Mann
- Department of Neuropediatrics, University Children's Hospital Tübingen, Tübingen, Germany
| | - Margaret Wasilewski
- Shire (a member of the Takeda group of companies), Lexington, Massachusetts, USA
| | - Jing Li
- Shire (a member of the Takeda group of companies), Lexington, Massachusetts, USA
| | - Norman Barton
- Shire (a member of the Takeda group of companies), Lexington, Massachusetts, USA
| | - Christian Krarup
- Department of Clinical Neurophysiology, Rigshospitalet, Copenhagen, Denmark.,Department of Neuroscience, University of Copenhagen, Copenhagen, Denmark
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30
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Adang LA, Schlotawa L, Groeschel S, Kehrer C, Harzer K, Staretz‐Chacham O, Silva TO, Schwartz IVD, Gärtner J, De Castro M, Costin C, Montgomery EF, Dierks T, Radhakrishnan K, Ahrens‐Nicklas RC. Natural history of multiple sulfatase deficiency: Retrospective phenotyping and functional variant analysis to characterize an ultra-rare disease. J Inherit Metab Dis 2020; 43:1298-1309. [PMID: 32749716 PMCID: PMC7693296 DOI: 10.1002/jimd.12298] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 07/11/2020] [Accepted: 08/03/2020] [Indexed: 12/20/2022]
Abstract
Multiple sulfatase deficiency (MSD) is an ultra-rare neurodegenerative disorder caused by pathogenic variants in SUMF1. This gene encodes formylglycine-generating enzyme (FGE), a protein required for sulfatase activation. The clinical course of MSD results from additive effect of each sulfatase deficiency, including metachromatic leukodystrophy (MLD), several mucopolysaccharidoses (MPS II, IIIA, IIID, IIIE, IVA, VI), chondrodysplasia punctata, and X-linked ichthyosis. While it is known that affected individuals demonstrate a complex and severe phenotype, the genotype-phenotype relationship and detailed clinical course is unknown. We report on 35 cases enrolled in our retrospective natural history study, n = 32 with detailed histories. Neurologic function was longitudinally assessed with retrospective scales. Biochemical and computational modeling of novel SUMF1 variants was performed. Genotypes were classified based on predicted functional change, and each individual was assigned a genotype severity score. The median age at symptom onset was 0.25 years; median age at diagnosis was 2.7 years; and median age at death was 13 years. All individuals demonstrated developmental delay, and only a subset of individuals attained ambulation and verbal communication. All subjects experienced an accumulating systemic symptom burden. Earlier age at symptom onset and severe variant pathogenicity correlated with poor neurologic outcomes. Using retrospective deep phenotyping and detailed variant analysis, we defined the natural history of MSD. We found that attenuated cases can be distinguished from severe cases by age of onset, attainment of ambulation, and genotype. Results from this study can help inform prognosis and facilitate future study design.
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Affiliation(s)
- Laura A. Adang
- Division of NeurologyThe Children's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Lars Schlotawa
- Department of Pediatrics and Adolescent MedicineUniversity Medical Centre GöttingenGermany
| | | | | | | | | | - Thiago Oliveira Silva
- Nuclimed‐Clinical Research Center, Hospital de Clinicas de Porto Alegre‐RSPorto AlegreBrazil
| | - Ida Vanessa D. Schwartz
- Nuclimed‐Clinical Research Center, Hospital de Clinicas de Porto Alegre‐RSPorto AlegreBrazil
| | - Jutta Gärtner
- Department of Pediatrics and Adolescent MedicineUniversity Medical Centre GöttingenGermany
| | | | | | | | - Thomas Dierks
- Department of Chemistry, Biochemistry IBielefeld UniversityBielefeldGermany
| | | | - Rebecca C. Ahrens‐Nicklas
- Division of Human Genetics and Metabolism, The Children's Hospital of Philadelphia, Department of PediatricsPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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Kehrer C, Elgün S, Raabe C, Böhringer J, Beck-Wödl S, Bevot A, Kaiser N, Schöls L, Krägeloh-Mann I, Groeschel S. Association of Age at Onset and First Symptoms With Disease Progression in Patients With Metachromatic Leukodystrophy. Neurology 2020; 96:e255-e266. [PMID: 33046606 DOI: 10.1212/wnl.0000000000011047] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 08/27/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To compare disease progression between different onset forms of metachromatic leukodystrophy (MLD) and to investigate the influence of the type of first symptoms on the natural course and dynamic of disease progression. METHODS Clinical, genetic, and biochemical parameters were analyzed within a nationwide study of patients with late-infantile (LI; onset age ≤2.5 years), early-juvenile (EJ; onset age 2.6 to <6 years), late-juvenile (LJ; onset age 6 to <16 years), and adult (onset age ≥16 years) forms of MLD. First symptoms were categorized as motor symptoms only, cognitive symptoms only, or both. Standardized clinical endpoints included loss of motor and language functions, as well as dysphagia/tube feeding. RESULTS Ninety-seven patients with MLD were enrolled. Patients with LI (n = 35) and EJ (n = 18) MLD exhibited similarly rapid disease progression, all starting with motor symptoms (with or without additional cognitive symptoms). In LJ (n = 38) and adult-onset (n = 6) patients, the course of the disease was as rapid as in the early-onset forms, when motor symptoms were present at disease onset, while patients with only cognitive symptoms at disease onset exhibited significantly milder disease progression, independently of their age at onset. A certain genotype-phenotype correlation was observed. CONCLUSIONS In addition to age at onset, the type of first symptoms predicts the rate of disease progression in MLD. These findings are important for counseling and therapy. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that in patients with MLD, age at onset and the type of first symptoms predict the rate of disease progression.
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Affiliation(s)
- Christiane Kehrer
- From Department of Paediatric Neurology and Developmental Medicine (C.K., S.E., C.R., J.B., A.B., N.K., I.K.-M., S.G.), University Children's Hospital; Department of Medical Genetics (S.B.-W.), University Hospital Tübingen; Clinical Neurogenetics Section (L.S.), Department of Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen; and German Center for Neurodegenerative Diseases (DZNE) Tübingen (L.S.), Germany Crona Kliniken
| | - Saskia Elgün
- From Department of Paediatric Neurology and Developmental Medicine (C.K., S.E., C.R., J.B., A.B., N.K., I.K.-M., S.G.), University Children's Hospital; Department of Medical Genetics (S.B.-W.), University Hospital Tübingen; Clinical Neurogenetics Section (L.S.), Department of Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen; and German Center for Neurodegenerative Diseases (DZNE) Tübingen (L.S.), Germany Crona Kliniken
| | - Christa Raabe
- From Department of Paediatric Neurology and Developmental Medicine (C.K., S.E., C.R., J.B., A.B., N.K., I.K.-M., S.G.), University Children's Hospital; Department of Medical Genetics (S.B.-W.), University Hospital Tübingen; Clinical Neurogenetics Section (L.S.), Department of Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen; and German Center for Neurodegenerative Diseases (DZNE) Tübingen (L.S.), Germany Crona Kliniken
| | - Judith Böhringer
- From Department of Paediatric Neurology and Developmental Medicine (C.K., S.E., C.R., J.B., A.B., N.K., I.K.-M., S.G.), University Children's Hospital; Department of Medical Genetics (S.B.-W.), University Hospital Tübingen; Clinical Neurogenetics Section (L.S.), Department of Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen; and German Center for Neurodegenerative Diseases (DZNE) Tübingen (L.S.), Germany Crona Kliniken
| | - Stefanie Beck-Wödl
- From Department of Paediatric Neurology and Developmental Medicine (C.K., S.E., C.R., J.B., A.B., N.K., I.K.-M., S.G.), University Children's Hospital; Department of Medical Genetics (S.B.-W.), University Hospital Tübingen; Clinical Neurogenetics Section (L.S.), Department of Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen; and German Center for Neurodegenerative Diseases (DZNE) Tübingen (L.S.), Germany Crona Kliniken
| | - Andrea Bevot
- From Department of Paediatric Neurology and Developmental Medicine (C.K., S.E., C.R., J.B., A.B., N.K., I.K.-M., S.G.), University Children's Hospital; Department of Medical Genetics (S.B.-W.), University Hospital Tübingen; Clinical Neurogenetics Section (L.S.), Department of Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen; and German Center for Neurodegenerative Diseases (DZNE) Tübingen (L.S.), Germany Crona Kliniken
| | - Nadja Kaiser
- From Department of Paediatric Neurology and Developmental Medicine (C.K., S.E., C.R., J.B., A.B., N.K., I.K.-M., S.G.), University Children's Hospital; Department of Medical Genetics (S.B.-W.), University Hospital Tübingen; Clinical Neurogenetics Section (L.S.), Department of Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen; and German Center for Neurodegenerative Diseases (DZNE) Tübingen (L.S.), Germany Crona Kliniken
| | - Ludger Schöls
- From Department of Paediatric Neurology and Developmental Medicine (C.K., S.E., C.R., J.B., A.B., N.K., I.K.-M., S.G.), University Children's Hospital; Department of Medical Genetics (S.B.-W.), University Hospital Tübingen; Clinical Neurogenetics Section (L.S.), Department of Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen; and German Center for Neurodegenerative Diseases (DZNE) Tübingen (L.S.), Germany Crona Kliniken
| | - Ingeborg Krägeloh-Mann
- From Department of Paediatric Neurology and Developmental Medicine (C.K., S.E., C.R., J.B., A.B., N.K., I.K.-M., S.G.), University Children's Hospital; Department of Medical Genetics (S.B.-W.), University Hospital Tübingen; Clinical Neurogenetics Section (L.S.), Department of Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen; and German Center for Neurodegenerative Diseases (DZNE) Tübingen (L.S.), Germany Crona Kliniken
| | - Samuel Groeschel
- From Department of Paediatric Neurology and Developmental Medicine (C.K., S.E., C.R., J.B., A.B., N.K., I.K.-M., S.G.), University Children's Hospital; Department of Medical Genetics (S.B.-W.), University Hospital Tübingen; Clinical Neurogenetics Section (L.S.), Department of Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen; and German Center for Neurodegenerative Diseases (DZNE) Tübingen (L.S.), Germany Crona Kliniken.
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32
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Krieg SI, Krägeloh-Mann I, Groeschel S, Beck-Wödl S, Husain RA, Schöls L, Kehrer C. Natural history of Krabbe disease - a nationwide study in Germany using clinical and MRI data. Orphanet J Rare Dis 2020; 15:243. [PMID: 32912261 PMCID: PMC7488349 DOI: 10.1186/s13023-020-01489-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Accepted: 08/05/2020] [Indexed: 12/04/2022] Open
Abstract
Background Krabbe disease or globoid cell leukodystrophy is a severe neurodegenerative disorder caused by a defect in the GALC gene leading to a deficiency of the enzyme ß-galactocerebrosidase. The aim of this work was to describe the natural disease course covering the whole spectrum of the disease. Methods Natural history data were collected with a standardized questionnaire, supplemented by medical record data. We defined different forms of the disease according to Abdelhalim et al. (2014). Developmental and disease trajectories were described based on the acquisition and loss of milestones as well as the time of first clearly identifiable symptoms and needs such as spasticity, seizures and tube feeding. MRI was assessed using the scoring system by Loes et al. (1999) and in addition a pattern recognition approach, based on Abdelhalim et al. (2014). Results Thirty-eight patients were identified, from 27 of these patients 40 MRIs were available; 30 (79%) had an infantile onset, showing first symptoms in their first year of life, almost all (27 out of 30) starting in the first six months. A later onset after the first year of life was observed in 8 patients (21%, range 18 months to 60 years). Irritability, abnormalities in movement pattern as well as general developmental regression were the first symptoms in the infantile group; disease course was severe with rapid progression, e.g. loss of visual fixation, need for tube feeding and then an early death. Gait disorders were the first symptoms in all patients of the later onset groups; progression was variable. The different forms of the disease were characterized by different MRI patterns (infantile: diffuse white matter involvement and cerebellar structures specifically affected, later onset: parieto-occipital white matter and splenium affected, adult: motor tracts specifically affected). Conclusion This is the first description of the natural history of Krabbe disease in a larger European cohort using developmental, clinical and MRI data. We would like to highlight the very different clinical and MRI characteristics of the later onset forms. These data are important for counselling affected patients and families and may serve as a basis for future treatment trials.
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Affiliation(s)
- Sarah Isabel Krieg
- Department of Child Neurology, Children's Hospital, University of Tübingen, Hoppe-Seyler-Str. 1, 72072, Tübingen, Germany
| | - Ingeborg Krägeloh-Mann
- Department of Child Neurology, Children's Hospital, University of Tübingen, Hoppe-Seyler-Str. 1, 72072, Tübingen, Germany.
| | - Samuel Groeschel
- Department of Child Neurology, Children's Hospital, University of Tübingen, Hoppe-Seyler-Str. 1, 72072, Tübingen, Germany.,Section for Experimental MR of the CNS, Department of Child Neurology and Neuroradiology, University of Tübingen, Tübingen, Germany
| | - Stefanie Beck-Wödl
- Department of Medical Genetics, University Hospital Tübingen, Tübingen, Germany
| | - Ralf A Husain
- Department of Neuropediatrics, Jena University Hospital, Jena, Germany
| | - Ludger Schöls
- Clinical Neurogenetics Section, Department of Neurology, University of Tübingen, Tübingen, Germany
| | - Christiane Kehrer
- Department of Child Neurology, Children's Hospital, University of Tübingen, Hoppe-Seyler-Str. 1, 72072, Tübingen, Germany
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33
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Beschle J, Döring M, Kehrer C, Raabe C, Bayha U, Strölin M, Böhringer J, Bevot A, Kaiser N, Bender B, Grimm A, Lang P, Müller I, Krägeloh-Mann I, Groeschel S. Early clinical course after hematopoietic stem cell transplantation in children with juvenile metachromatic leukodystrophy. Mol Cell Pediatr 2020; 7:12. [PMID: 32910272 PMCID: PMC7483683 DOI: 10.1186/s40348-020-00103-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 08/09/2020] [Indexed: 02/06/2023] Open
Abstract
Background Long-term outcomes of hematopoietic stem cell transplantation (HSCT) in children with juvenile metachromatic leukodystrophy (MLD) have been investigated systematically, while short-term effects of HSCT on the course of the disease remain to be elucidated. Results In this study, the clinical course was evaluated over the first 24 months following HSCT, conducted at our center in 12 children with juvenile MLD (mean follow-up 6.75 years, range 3–13.5) and compared with 35 non-transplanted children with juvenile MLD. Motor function (GMFM-88 and GMFC-MLD), cognitive function (FSIQ), peripheral neuropathy (tibial nerve conduction velocity), and cerebral changes (MLD-MR severity score) were tested prospectively. Seven children remained neurologically stable over a long period, five exhibited rapid disease progression over the first 12 to 18 months after transplantation. In the latter, time from first gross motor symptoms to loss of independent walking was significantly shorter compared with non-transplanted patients at the same stage of disease (p < 0.02). Positive prognostic factors were good motor function (GMFM = 100%, GMFC-MLD = 0) and a low MR severity score (≤ 17) at the time of HSCT. Conclusions Our results show that if disease progression occurs, this happens early on after HSCT and proceeds faster than in non-transplanted children with juvenile MLD, indicating that HSCT may trigger disease progression.
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Affiliation(s)
- Judith Beschle
- Department for Pediatric Neurology, University Children's Hospital, Tübingen, Germany
| | - Michaela Döring
- Department for General Pediatrics, Hematology/Oncology, University Children's Hospital, Tübingen, Germany
| | - Christiane Kehrer
- Department for Pediatric Neurology, University Children's Hospital, Tübingen, Germany
| | - Christa Raabe
- Department for Pediatric Neurology, University Children's Hospital, Tübingen, Germany
| | - Ute Bayha
- Department for Pediatric Neurology, University Children's Hospital, Tübingen, Germany
| | - Manuel Strölin
- Department for Pediatric Neurology, University Children's Hospital, Tübingen, Germany
| | - Judith Böhringer
- Department for Pediatric Neurology, University Children's Hospital, Tübingen, Germany
| | - Andrea Bevot
- Department for Pediatric Neurology, University Children's Hospital, Tübingen, Germany
| | - Nadja Kaiser
- Department for Pediatric Neurology, University Children's Hospital, Tübingen, Germany
| | - Benjamin Bender
- Department of Diagnostic and Interventional Neuroradiology, Tübingen, Germany
| | | | - Peter Lang
- Department for General Pediatrics, Hematology/Oncology, University Children's Hospital, Tübingen, Germany
| | - Ingo Müller
- Department of Pediatric Hematology and Oncology, University Hospital Eppendorf, Hamburg, Germany
| | | | - Samuel Groeschel
- Department for Pediatric Neurology, University Children's Hospital, Tübingen, Germany.
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34
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Al Harrach M, Rousseau F, Groeschel S, Chabrier S, Hertz-Pannier L, Lefevre J, Dinomais M. Is the Blood Oxygenation Level-Dependent fMRI Response to Motor Tasks Altered in Children After Neonatal Stroke? Front Hum Neurosci 2020; 14:154. [PMID: 32410976 PMCID: PMC7202247 DOI: 10.3389/fnhum.2020.00154] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Accepted: 04/07/2020] [Indexed: 12/13/2022] Open
Abstract
Functional MRI is increasingly being used in the assessment of brain activation and connectivity following stroke. Many of these studies rely on the Blood Oxygenation Level Dependent (BOLD) contrast. However, the stability, as well as the accuracy of the BOLD response to motor task in the ipsilesional hemisphere, remains ambiguous. In this work, the BOLD signal acquired from both healthy and affected hemispheres was analyzed in 7-year-old children who sustained a Neonatal Arterial Ischemic Stroke (NAIS). Accordingly, a repetitive motor task of the contralesional and the ipsilesional hands was performed by 33 patients with unilateral lesions. These patients were divided into two groups: those without cerebral palsy (NAIS), and those with cerebral palsy (CP). The BOLD signal time course was obtained from distinctly defined regions of interest (ROIs) extracted from the functional activation maps of 30 healthy controls with similar age and demographic characteristics as the patients. An ROI covering both the primary motor cortex (M1) and the primary somatosensory cortex (S1) was also tested. Compared with controls, NAIS patients without CP had similar BOLD amplitude variation for both the contralesional and the ipsilesional hand movements. However, in the case of NAIS patients with CP, a significant difference in the averaged BOLD amplitude was found between the healthy and affected hemisphere. In both cases, no progressive attenuation of the BOLD signal amplitude was observed throughout the task epochs. Besides, results also showed a correlation between the BOLD signal percentage variation of the lesioned hemisphere and the dexterity level. These findings suggest that for patients who sustained a NAIS with no extensive permanent motor impairment, BOLD signal-based data analysis can be a valuable tool for the evaluation of functional brain networks.
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Affiliation(s)
- Mariam Al Harrach
- Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS) EA7315, Université d'Angers, Polytech Angers, Angers, France
| | | | - Samuel Groeschel
- Department of Child Neurology, Paediatric Neuroimaging, University Hospital, Tübingen, Germany
| | - Stéphane Chabrier
- INSERM UMR1059 Sainbiose, Univ Saint-Étienne, Univ Lyon, Saint-Étienne, France.,INSERM, CIC 1408, CHU Saint-Étienne, French Centre for Paediatric Stroke, Paediatric Physical and Rehabilitation Medicine Department, Saint-Étienne, France
| | - Lucie Hertz-Pannier
- INSERM U114 Neurospin, UNIACT, Institut Joliot, Université de Paris, CEA-Paris Saclay, Gif sur Yvette, France
| | - Julien Lefevre
- UMR CNRS 7289, Aix Marseille Université, Institut de Neurosciences de la Timone, Marseille, France
| | - Mickael Dinomais
- Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS) EA7315, Université d'Angers, Polytech Angers, Angers, France.,CHU Angers, Département de Médecine Physique et de Réadaptions and LUNAM, Angers, France
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35
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Grimm AS, Schubert C, Grimm A, Stahl JH, Küpper H, Horber V, Kegele J, Willikens S, Wittlinger J, Serna-Higuita L, Winter N, Groeschel S. Normative Observational Nerve Ultrasound Values in School-Age Children and Adolescents and Their Application to Hereditary Neuropathies. Front Neurol 2020; 11:303. [PMID: 32411079 PMCID: PMC7198742 DOI: 10.3389/fneur.2020.00303] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 03/30/2020] [Indexed: 12/31/2022] Open
Abstract
Backgrounds: We have aimed to establish nerve ultrasound reference data in 8 to 17-year-old children and adolescents and to compare those data to younger children, adults, and age-matched children with polyneuropathies. Methods: High-resolution ultrasounds of the nerves were performed in 117 healthy children and adolescents at 20 predefined landmarks in the neck and the extremities of both sides. Mean values, side-to-side differences and intraneural ratios, as well as upper limits have been calculated. In a second step, a comparison between 25 children and adolescents of the same age range with proven hereditary and acquired neuropathies and lysosomal storage diseases has been carried out. Results: Nerve growth correlates significantly with age and reaches adult values at the age of around 15 years. The influence of body mass index and gender is negligible at most segments. By the use of age-specific upper limits, nerve enlargement could be seen in distinct types of neuropathies, particularly in demyelinating hereditary and inflammatory types, which is comparable to findings in adults, but also in rare lysosomal storage diseases. Conclusion: Nerve size correlates with age during childhood and reaches a climax in younger adults. Age-matched reference data are inevitable to differ between hypertrophic and non-hypertrophic nerve damage, e.g., in neuropathies.
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Affiliation(s)
- Anna-Sophie Grimm
- Department of Pediatric Neurology, University Children's Hospital Tübingen, Tübingen, Germany
| | - Charlotte Schubert
- Department of Neurology and Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany
| | - Alexander Grimm
- Department of Neurology and Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany
| | - Jan-Hendrik Stahl
- Department of Neurology and Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany.,Center of Neurology and Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany
| | - Hanna Küpper
- Department of Pediatric Neurology, University Children's Hospital Tübingen, Tübingen, Germany
| | - Veronka Horber
- Department of Pediatric Neurology, University Children's Hospital Tübingen, Tübingen, Germany
| | - Josua Kegele
- Department of Neurology and Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany.,Center of Neurology and Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany.,University Hospital Tübingen, Neurology, Tübingen, Germany
| | - Sophia Willikens
- Department of Neurology and Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany.,University Hospital Tübingen, Neurology, Tübingen, Germany
| | | | - Lina Serna-Higuita
- Department of Clinical Epidemiology and Applied Biostatistics, Tübingen University, Tübingen, Germany
| | - Natalie Winter
- Department of Neurology and Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany.,Center of Neurology and Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany
| | - Samuel Groeschel
- Department of Pediatric Neurology, University Children's Hospital Tübingen, Tübingen, Germany
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Groeschel S, Holmström L, Northam G, Tournier JD, Baldeweg T, Latal B, Caflisch J, Vollmer B. Corrigendum: Motor Abilities in Adolescents Born Preterm Are Associated With Microstructure of the Corpus Callosum. Front Neurol 2020; 11:162. [PMID: 32231637 PMCID: PMC7083142 DOI: 10.3389/fneur.2020.00162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 02/19/2020] [Indexed: 11/13/2022] Open
Abstract
[This corrects the article DOI: 10.3389/fneur.2019.00367.].
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Affiliation(s)
- Samuel Groeschel
- Department of Child Neurology, Children's Hospital, University of Tübingen, Tübingen, Germany
| | - Linda Holmström
- Neuropaediatric Research Unit, Department of Women's and Children's Health, Karolinska Institutet Stockholm, Stockholm, Sweden
| | - Gemma Northam
- Developmental Neurosciences Programme, UCL Institute of Child Health, London, United Kingdom
| | - J-Donald Tournier
- Division of Imaging Sciences and Biomedical Engineering, Department of Biomedical Engineering, Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Torsten Baldeweg
- Developmental Neurosciences Programme, UCL Institute of Child Health, London, United Kingdom
| | - Beatrice Latal
- Child Development Center and Children's Research Centre, University Children's Hospital Zürich, Zurich, Switzerland
| | - Jon Caflisch
- Child Development Center and Children's Research Centre, University Children's Hospital Zürich, Zurich, Switzerland
| | - Brigitte Vollmer
- Neuropaediatric Research Unit, Department of Women's and Children's Health, Karolinska Institutet Stockholm, Stockholm, Sweden.,Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
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37
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Küpper H, Kaiser N, Winter N, Kehrer C, Groeschel S, Bevot A, Nägele T, Krägeloh‐Mann I, Grimm A. Enlargement of peripheral nerves in Krabbe disease: The diagnostic value of nerve ultrasound. Muscle Nerve 2020; 61:E24-E27. [DOI: 10.1002/mus.26822] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 01/20/2020] [Accepted: 01/28/2020] [Indexed: 11/10/2022]
Affiliation(s)
- Hanna Küpper
- Neuropaediatric DepartmentUniversity Children's Hospital Tübingen Germany
| | - Nadja Kaiser
- Neuropaediatric DepartmentUniversity Children's Hospital Tübingen Germany
| | | | - Christiane Kehrer
- Neuropaediatric DepartmentUniversity Children's Hospital Tübingen Germany
| | - Samuel Groeschel
- Neuropaediatric DepartmentUniversity Children's Hospital Tübingen Germany
| | - Andrea Bevot
- Neuropaediatric DepartmentUniversity Children's Hospital Tübingen Germany
| | - Thomas Nägele
- Department of NeuroradiologyUniversity Hospital Tübingen Germany
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Gburek-Augustat J, Groeschel S, Kern J, Beck-Woedl S, Just J, Harzer K, Stampfer M, Kraegeloh-Mann I. Comparative Analysis of Cerebral Magnetic Resonance Imaging Changes in Nontreated Infantile, Juvenile and Adult Patients with Niemann-Pick Disease Type C. Neuropediatrics 2020; 51:37-44. [PMID: 31639880 DOI: 10.1055/s-0039-1698451] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
AIM The study aims to describe cerebral MRI in different onset forms of Niemann-Pick type C (NPC). Systematic MRI analyses in this rare lysosomal storage disease are lacking in the infantile and juvenile onset forms. METHODS Thirty-two cerebral MRI scans from 19 patients with NPC were assessed using a newly established and validated scoring system which addresses white matter changes and supratentorial versus infratentorial atrophy. RESULTS Seven scans were from six NPC patients with early infantile onset (<2 years of age), six scans were from three patients with late infantile onset (2-6 years), six scans from four with juvenile onset (6-15 years), and 13 from six with adult onset (>15 years). While supratentorial atrophy was the leading sign in the infantile groups, the juvenile and adult forms were characterized by both, infra- and supratentorial atrophy. White matter changes were found in nearly every patient; they increased with the disease duration in the earlier forms and were prominent in the later forms already early in the disease course. CONCLUSION This is the first systematic and comparative MRI analysis in the different onset groups of NPC using a scoring system. Early during disease course, MRI showed different patterns in infantile compared with juvenile and adult onset NPC patients, for example, only supratentorial atrophy in juvenile versus global atrophy in adult onset patients. MRI changes provide an additional, early biomarker for NPC.
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Affiliation(s)
- Janina Gburek-Augustat
- Division of Neuropaediatrics, Hospital for Children and Adolescents, University Leipzig, Leipzig, Germany.,Department of Neuropaediatrics, Developmental Neurology, Social Paediatrics, University Children's Hospital Tuebingen, Tuebingen, Germany.,Rare Disease Center Tuebingen, University of Tuebingen, Tuebingen, Germany
| | - Samuel Groeschel
- Department of Neuropaediatrics, Developmental Neurology, Social Paediatrics, University Children's Hospital Tuebingen, Tuebingen, Germany.,Rare Disease Center Tuebingen, University of Tuebingen, Tuebingen, Germany
| | - Jan Kern
- Department of Neuropaediatrics, Developmental Neurology, Social Paediatrics, University Children's Hospital Tuebingen, Tuebingen, Germany.,Rare Disease Center Tuebingen, University of Tuebingen, Tuebingen, Germany
| | - Stefanie Beck-Woedl
- Rare Disease Center Tuebingen, University of Tuebingen, Tuebingen, Germany.,Institute of Medical Genetics and Applied Genomics, University Hospital Tuebingen, Tuebingen, Germany
| | - Jennifer Just
- Rare Disease Center Tuebingen, University of Tuebingen, Tuebingen, Germany.,Department of Neurology with Focus on Neurodegenerative Disorders, Center of Neurology, University Hospital Tuebingen, Tuebingen, Germany
| | - Klaus Harzer
- Department of Neuropaediatrics, Developmental Neurology, Social Paediatrics, University Children's Hospital Tuebingen, Tuebingen, Germany.,Rare Disease Center Tuebingen, University of Tuebingen, Tuebingen, Germany
| | - Miriam Stampfer
- Rare Disease Center Tuebingen, University of Tuebingen, Tuebingen, Germany.,Institute of Medical Genetics and Applied Genomics, University Hospital Tuebingen, Tuebingen, Germany
| | - Ingeborg Kraegeloh-Mann
- Department of Neuropaediatrics, Developmental Neurology, Social Paediatrics, University Children's Hospital Tuebingen, Tuebingen, Germany.,Rare Disease Center Tuebingen, University of Tuebingen, Tuebingen, Germany
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Koch A, Zhukov A, Stöcker T, Groeschel S, Schultz T. SHORE-based detection and imputation of dropout in diffusion MRI. Magn Reson Med 2019; 82:2286-2298. [PMID: 31273856 DOI: 10.1002/mrm.27893] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 05/24/2019] [Accepted: 06/14/2019] [Indexed: 11/08/2022]
Abstract
PURPOSE In diffusion MRI, dropout refers to a strong attenuation of the measured signal that is caused by bulk motion during the diffusion encoding. When left uncorrected, dropout will be erroneously interpreted as high diffusivity in the affected direction. We present a method to automatically detect dropout, and to replace the affected measurements with imputed values. METHODS Signal dropout is detected by deriving an outlier score from a simple harmonic oscillator-based reconstruction and estimation (SHORE) fit of all measurements. The outlier score is defined to detect measurements that are substantially lower than predicted by SHORE in a relative sense, while being less sensitive to measurement noise in cases of weak baseline signal. A second SHORE fit is based on detected inliers only, and its predictions are used to replace outliers. RESULTS Our method is shown to reliably detect and accurately impute dropout in simulated data, and to achieve plausible results in corrupted in vivo dMRI measurements. Computational effort is much lower than with previously proposed alternatives. CONCLUSIONS Deriving a suitable outlier score from SHORE results in a fast and accurate method for detection and imputation of dropout in diffusion MRI. It requires measurements with multiple b values (such as multi-shell or DSI), but is independent from the models used for analysis (such as DKI, NODDI, deconvolution, etc.).
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Affiliation(s)
- Alexandra Koch
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Computer Science, University of Bonn, Bonn, Germany
| | - Andrei Zhukov
- Department of Computer Science, University of Bonn, Bonn, Germany
| | - Tony Stöcker
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Physics and Astronomy, University of Bonn, Bonn, Germany
| | - Samuel Groeschel
- Department of Child Neurology, University Children's Hospital Tübingen, Tübingen, Germany
| | - Thomas Schultz
- Department of Computer Science, University of Bonn, Bonn, Germany.,Bonn-Aachen International Center for Information Technology, Bonn, Germany
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Elgün S, Waibel J, Kehrer C, van Rappard D, Böhringer J, Beck-Wödl S, Just J, Schöls L, Wolf N, Krägeloh-Mann I, Groeschel S. Phenotypic variation between siblings with Metachromatic Leukodystrophy. Orphanet J Rare Dis 2019; 14:136. [PMID: 31186049 PMCID: PMC6560893 DOI: 10.1186/s13023-019-1113-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 06/04/2019] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Metachromatic Leukodystrophy (MLD) is a rare autosomal-recessive lysosomal storage disorder caused by mutations in the ARSA gene. While interventional trials often use untreated siblings as controls, the genotype-phenotype correlation is only partly understood, and the variability of the clinical course between siblings is unclear with some evidence for a discrepant clinical course in juvenile patients. The aim of this study was to systematically investigate the phenotypic variation in MLD siblings in comparison to the variability in a larger MLD cohort and to case reports published in literature. RESULTS Detailed clinical information was available from 12 sibling-pairs (3 late-infantile, 9 juvenile) and 61 single patients (29 late-infantile, 32 juvenile). Variability of age at onset was similar between the siblings and randomly chosen pairs of the remaining cohort (no statistically different Euclidean distances). However, in children with juvenile MLD both the type of first symptoms and the dynamic of the disease were less variable between siblings compared to the general cohort. In late-infantile patients, type of first symptoms and dynamic of disease were similarly homogeneous between siblings and the whole MLD cohort. Thirteen published case reports of families with affected siblings with MLD are presented with similar findings. CONCLUSIONS In a systematic analysis of phenotypic variation in families with MLD, siblings with the late-infantile form showed a similar variability as unrelated pairs of children with late-infantile MLD, whereas siblings with juvenile MLD showed a more homogeneous phenotype regarding type of first symptoms and disease evolution in comparison to unrelated children with juvenile MLD, but not regarding their age at onset. These results are highly relevant with respect to the evaluation of treatment effects and for counseling of families with affected siblings.
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Affiliation(s)
- Saskia Elgün
- Department of Paediatric Neurology and Developmental Medicine, University Children's Hospital Tübingen, Hoppe-Seyler-Strasse 1, 72076, Tübingen, Germany
| | - Jakob Waibel
- Department of Paediatric Neurology and Developmental Medicine, University Children's Hospital Tübingen, Hoppe-Seyler-Strasse 1, 72076, Tübingen, Germany
| | - Christiane Kehrer
- Department of Paediatric Neurology and Developmental Medicine, University Children's Hospital Tübingen, Hoppe-Seyler-Strasse 1, 72076, Tübingen, Germany
| | - Diane van Rappard
- Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, and Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Judith Böhringer
- Department of Paediatric Neurology and Developmental Medicine, University Children's Hospital Tübingen, Hoppe-Seyler-Strasse 1, 72076, Tübingen, Germany
| | - Stefanie Beck-Wödl
- Department of Medical Genetics, University Hospital Tübingen, Tübingen, Germany
| | - Jennifer Just
- Clinical Neurogenetics Section, Department of Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Ludger Schöls
- Clinical Neurogenetics Section, Department of Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases (DZNE) Tübingen, Tübingen, Germany
| | - Nicole Wolf
- Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, and Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Ingeborg Krägeloh-Mann
- Department of Paediatric Neurology and Developmental Medicine, University Children's Hospital Tübingen, Hoppe-Seyler-Strasse 1, 72076, Tübingen, Germany
| | - Samuel Groeschel
- Department of Paediatric Neurology and Developmental Medicine, University Children's Hospital Tübingen, Hoppe-Seyler-Strasse 1, 72076, Tübingen, Germany.
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Groeschel S, Holmström L, Northam G, Tournier JD, Baldeweg T, Latal B, Caflisch J, Vollmer B. Motor Abilities in Adolescents Born Preterm Are Associated With Microstructure of the Corpus Callosum. Front Neurol 2019; 10:367. [PMID: 31040815 PMCID: PMC6476930 DOI: 10.3389/fneur.2019.00367] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Accepted: 03/25/2019] [Indexed: 11/13/2022] Open
Abstract
Background: Preterm birth is associated with increased risk of neuromotor impairment. Rates of major neuromotor impairment (cerebral palsy) have decreased; however, in a large proportion of those who do not develop cerebral palsy impaired neuromotor function is observed and this often has implications for everyday life. The aim of this study was to investigate motor performance in preterm born adolescents without cerebral palsy, and to examine associations with alterations of motor system pathway structure. Design/Methods: Thirty-two adolescents (12 males) without cerebral palsy, born before 33 weeks of gestation (mean 27.4 weeks, SD 2.4; birth weight mean 1,084.5 g; SD 387.2), treated at a single tertiary unit, were assessed (median age 16 years; min 14, max 18). Timed performance and quality of movements were assessed with the Zürich Neuromotor Assessment. Neuroimaging included Diffusion Magnetic Resonance Imaging for tractography of the major motor tracts and measurement of fractional anisotropy as a measure of microstructure of the tracts along the major motor pathways. Separate analyses were conducted for areas with predominantly single and predominantly crossing fiber regions. Results: Motor performance in both tasks assessing timed performance and quality of movements, was poorer than expected in the preterm group in relation to norm population. The strongest significant correlations were seen between performance in tasks assessing movement quality and fractional anisotropy in corpus callosum fibers connecting primary motor, primary somatosensory and premotor areas. In addition, timed motor performance was significantly related to fractional anisotropy in the cortico-spinal and thalamo-cortical to premotor area fibers, and the corpus callosum. Conclusions: Impairments in motor abilities are present in preterm born adolescents without major neuromotor impairment and in the absence of focal brain injury. Altered microstructure of the corpus callosum microstructure appears a crucial factor, in particular for movement quality.
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Affiliation(s)
- Samuel Groeschel
- Department of Child Neurology, Children's Hospital, University of Tübingen, Tübingen, Germany
| | - Linda Holmström
- Neuropaediatric Research Unit, Department of Women's and Children's Health, Karolinska Institutet Stockholm, Stockholm, Sweden
| | - Gemma Northam
- Developmental Neurosciences Programme, UCL Institute of Child Health, London, United Kingdom
| | - J-Donald Tournier
- Division of Imaging Sciences and Biomedical Engineering, Department of Biomedical Engineering, Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Torsten Baldeweg
- Developmental Neurosciences Programme, UCL Institute of Child Health, London, United Kingdom
| | - Beatrice Latal
- Child Development Center and Children's Research Centre, University Children's Hospital Zürich, Zurich, Switzerland
| | - Jon Caflisch
- Child Development Center and Children's Research Centre, University Children's Hospital Zürich, Zurich, Switzerland
| | - Brigitte Vollmer
- Neuropaediatric Research Unit, Department of Women's and Children's Health, Karolinska Institutet Stockholm, Stockholm, Sweden.,Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
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Al Harrach M, Rousseau F, Groeschel S, Wang X, Hertz-Pannier L, Chabrier S, Bohi A, Lefevre J, Dinomais M. Alterations in Cortical Morphology after Neonatal Stroke: Compensation in the Contralesional Hemisphere? Dev Neurobiol 2019; 79:303-316. [PMID: 31004467 DOI: 10.1002/dneu.22679] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 02/28/2019] [Accepted: 04/04/2019] [Indexed: 01/31/2023]
Abstract
Although neonatal arterial ischemic stroke is now well-studied, its complex consequences on long-term cortical brain development has not yet been solved. In order to understand the brain development after focal early brain lesion, brain morphometry needs to be evaluated using structural parameters. In this work, our aim was to study and analyze the changes in morphometry of ipsi- and contralesional hemispheres in seven-year-old children following neonatal stroke. Therefore, we used surface-based morphometry in order to examine the cortical thickness, surface area, cortical volume, and local gyrification index in two groups of children that suffered from neonatal stroke in the left (n = 19) and right hemispheres (n = 15) and a group of healthy controls (n = 30). Reduced cortical thickness, surface area, and cortical volumes were observed in the ipsilesional hemispheres for both groups in comparison with controls. For the group with left-sided lesions, higher gyrification of the contralesional hemisphere was observed primarily in the occipital region along with higher surface area and cortical volume. As for the group with right-sided lesions, higher gyrification was detected in two separate clusters also in the occipital lobe of the contralesional hemisphere, without a significant change in cortical thickness, surface area, or cortical volume. This is the first time that alterations of structural parameters are detected in the "healthy" hemisphere after unilateral neonatal stroke indicative of a compensatory phenomenon. Moreover, findings presented in this work suggest that lesion lateralization might have an influence on brain development and maturation.
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Affiliation(s)
- Mariam Al Harrach
- Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS) EA7315, Université d'Angers, Angers, 49000, France
| | | | - Samuel Groeschel
- Experimental Paediatric Neuroimaging, Department of Child Neurology, University Hospital Tübingen, Tübingen, Germany
| | - Xiaoyu Wang
- IMT Atlantique, INSERM U1101 LaTIM, UBL, Brest, 29200, France
| | - Lucie Hertz-Pannier
- UNIACT, Neurospin, I2BM, DSV, CEA-Saclay, and Inserm U1129 Paris, Université Paris Descartes, Sorbonne Paris Cité, CEA, Gif sur Yvette, F-91191, France
| | - Stéphane Chabrier
- INSERM, UMR1059 Sainbiose, Univ Saint-Étienne, Univ Lyon, Saint-Étienne, F-42023, France.,CHU Saint-Étienne, French Centre for Paediatric Stroke, Paediatric Physical and Rehabilitation Medicine Department, INSERM, CIC 1408, Saint-Étienne, F-42055, France
| | - Amine Bohi
- Institut de Neurosciences de la Timone UMR 7289, Aix Marseille Université, CNRS, Marseille, 13385, France
| | - Julien Lefevre
- Institut de Neurosciences de la Timone UMR 7289, Aix Marseille Université, CNRS, Marseille, 13385, France
| | - Mickael Dinomais
- Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS) EA7315, Université d'Angers, Angers, 49000, France.,Département de Médecine Physique et de Réadaptions and LUNAM, CHU Angers, Angers, France
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Wilke M, Groeschel S, Lorenzen A, Rona S, Schuhmann MU, Ernemann U, Krägeloh‐Mann I. Clinical application of advanced MR methods in children: points to consider. Ann Clin Transl Neurol 2018; 5:1434-1455. [PMID: 30480038 PMCID: PMC6243383 DOI: 10.1002/acn3.658] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 08/10/2018] [Accepted: 08/10/2018] [Indexed: 12/11/2022] Open
Abstract
The application of both functional MRI and diffusion MR tractography prior to a neurosurgical operation is well established in adults, but less so in children, for several reasons. For this review, we have identified several aspects (task design, subject preparation, actual scanning session, data processing, interpretation of results, and decision-making) where pediatric peculiarities should be taken into account. Further, we not only systematically identify common issues, but also provide solutions, based on our experience as well as a review of the pertinent literature. The aim is to provide the clinician as well as the imaging scientist with information that helps to plan, conduct, and interpret such a clinically-indicated exam in a way that maximizes benefit for, and minimizes the burden on the individual child.
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Affiliation(s)
- Marko Wilke
- Department of Pediatric Neurology and Developmental MedicineChildren's HospitalTuebingenGermany
- Children's Hospital and Department of NeuroradiologyExperimental Pediatric NeuroimagingTuebingenGermany
| | - Samuel Groeschel
- Department of Pediatric Neurology and Developmental MedicineChildren's HospitalTuebingenGermany
- Children's Hospital and Department of NeuroradiologyExperimental Pediatric NeuroimagingTuebingenGermany
| | - Anna Lorenzen
- Department of Pediatric Neurology and Developmental MedicineChildren's HospitalTuebingenGermany
- Children's Hospital and Department of NeuroradiologyExperimental Pediatric NeuroimagingTuebingenGermany
| | - Sabine Rona
- Department of NeurosurgeryUniversity HospitalTuebingenGermany
| | | | - Ulrike Ernemann
- Department of Diagnostic and Interventional NeuroradiologyUniversity HospitalUniversity of TübingenTuebingenGermany
| | - Ingeborg Krägeloh‐Mann
- Department of Pediatric Neurology and Developmental MedicineChildren's HospitalTuebingenGermany
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Thébault G, Martin S, Brouillet D, Brunel L, Dinomais M, Presles É, Fluss J, Chabrier S, Dégano C, Delion M, Deron J, Dray G, Drutel L, Groeschel S, Hertz‐Pannier L, Husson B, Kossorotoff M, Lazaro L, Lefranc J, The Tich SN, Peyric É, Ravel M, Renaud C, Vuillerot C. Manual dexterity, but not cerebral palsy, predicts cognitive functioning after neonatal stroke. Dev Med Child Neurol 2018; 60:1045-1051. [PMID: 29624666 DOI: 10.1111/dmcn.13752] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/06/2018] [Indexed: 12/20/2022]
Abstract
AIM To disentangle the respective impacts of manual dexterity and cerebral palsy (CP) in cognitive functioning after neonatal arterial ischaemic stroke. METHOD The population included 60 children (21 females, 39 males) with neonatal arterial ischaemic stroke but not epilepsy. The presence of CP was assessed clinically at the age of 7 years and 2 months (range 6y 11mo-7y 8mo) using the definition of the Surveillance of CP in Europe network. Standardized tests (Nine-Hole Peg Test and Box and Blocks Test) were used to quantify manual (finger and hand respectively) dexterity. General cognitive functioning was evaluated with the Wechsler Intelligence Scale for Children, Fourth Edition. Simple and multiple linear regression models were performed while controlling for socio-economic status, lesion side, and sex. RESULTS Fifteen children were diagnosed with CP. In simple regression models, both manual dexterity and CP were associated with cognitive functioning (β=0.41 [p=0.002] and β=0.31 [p=0.019] respectively). However, in multiple regression models, manual dexterity was the only associated variable of cognitive functioning, whether or not a child had CP (β=0.35; p=0.007). This result was reproduced in models with other covariables (β=0.31; p=0.017). INTERPRETATION As observed in typically developing children, manual dexterity is related to cognitive functioning in children having suffered a focal brain insult during the neonatal period. WHAT THIS PAPER ADDS Manual dexterity predicts cognitive functioning after neonatal arterial ischaemic stroke. Correlations between manual dexterity and cognitive functioning occur irrespective of sex, lesion side, presence of cerebral palsy, and socio-economic status. Residual motor ability may support cognitive functioning.
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Affiliation(s)
- Guillaume Thébault
- INSERM, UMR1059 Sainbiose, University of Saint-Étienne, University of Lyon, Saint-Étienne.,University Paul Valéry Montpellier 3, University Montpellier, Montpellier
| | - Sophie Martin
- University Paul Valéry Montpellier 3, University Montpellier, Montpellier
| | - Denis Brouillet
- University Paul Valéry Montpellier 3, University Montpellier, Montpellier
| | - Lionel Brunel
- University Paul Valéry Montpellier 3, University Montpellier, Montpellier
| | - Mickaël Dinomais
- Laboratoire d'Ingénierie des Systèmes Automatisés (LISA), University of Angers, Angers.,Physical and Rehabilitation Medicine Department, LUNAM, CHU Angers, Angers, France
| | - Émilie Presles
- INSERM, UMR1059 Sainbiose, University of Saint-Étienne, University of Lyon, Saint-Étienne
| | - Joel Fluss
- Paediatric Neurology Unit, Geneva University Hospitals, Geneva, Switzerland
| | - Stéphane Chabrier
- INSERM, UMR1059 Sainbiose, University of Saint-Étienne, University of Lyon, Saint-Étienne.,Paediatric Physical and Rehabilitation Medicine Department, French Centre for Paediatric Stroke, INSERM CIC1408, CHU Saint-Étienne, Saint-Étienne, France
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Groeschel S, Hertz-Pannier L, Delion M, Loustau S, Husson B, Kossorotoff M, Renaud C, Nguyen The Tich S, Chabrier S, Dinomais M. Association of transcallosal motor fibres with function of both hands after unilateral neonatal arterial ischemic stroke. Dev Med Child Neurol 2017; 59:1042-1048. [PMID: 28815625 DOI: 10.1111/dmcn.13517] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/06/2017] [Indexed: 12/30/2022]
Abstract
AIM The objective of this study was to investigate the involvement of the motor fibres of the corpus callosum after unilateral neonatal arterial ischemic stroke (NAIS) of the middle cerebral artery territory and the relationship to both ipsilesional and contralesional hand function. METHOD Using high-resolution structural magnetic resonance imaging (MRI), functional MRI, and magnetic resonance diffusion-tractography, we compared the midsagittal area of the motor part of the corpus callosum (defined by the fibres connecting the precentral gyri) between 33 7-year-old children after unilateral NAIS and 31 typically developing 7-year-old children. Hand motor performance was assessed by the box and blocks test. RESULTS Children after NAIS showed on average significantly smaller motor corpus callosum area compared to typically developing children (p<0.001, without differences of the non-motor corpus callosum area). In addition, there was a significant positive association between the motor part of the corpus callosum and both contralesional (Pr(>|t|)=0.034) and ipsilesional hand motor performance (Pr(>|t|)=0.006) after controlling for lesion volume and sex. In a post-hoc analysis the additional contribution of corticospinal tract damage was evaluated. INTERPRETATION Compared to typically developing children, children after NAIS exhibited a smaller motor part of their corpus callosum associated with reduced contralesional but also ipsilesional manual dexterity. These results indicate that the affection of transcallosal motor fibres in unilateral NAIS might be of functional relevance and an important part of the involved structural network that should be elucidated in further studies.
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Affiliation(s)
- Samuel Groeschel
- Experimental Pediatric Neuroimaging, Department of Child Neurology, University Hospital Tübingen, Tuebingen, Germany
| | | | - Matthieu Delion
- Département de neurochirurgie and Laboratoire d'anatomie, Faculté de médecine Angers, LUNAM Université d'Angers, Angers, France
| | - Sébastien Loustau
- Laboratoire Angevin de Recherche en Maths (LAREMA), LUNAM Université d'Angers, Angers, France
| | - Béatrice Husson
- Pediatric Radiology Department, University Hospital Bicêtre, Assistance-Publique-Hopitaux de Paris, Paris-Sud University, Paris, France
| | - Manoelle Kossorotoff
- Paediatric Neurology Department, French Center for Paediatric Stroke, University Hospital Necker-Enfants-Malades, AP-HP, Paris, France
| | - Cyrille Renaud
- CHU Saint-Étienne, Inserm, Univ Lyon, Centre national de référence de l'AVC de L'Enfant, Service de médecine physique et de réadaption pédiatrique, Saint-Étienne, France
| | - Sylvie Nguyen The Tich
- Pediatric Neurology Department and Environment Périnatale et Santé, University Hospital, Lille, France
| | - Stéphane Chabrier
- CHU Saint-Étienne, Inserm, Univ Lyon, Centre national de référence de l'AVC de L'Enfant, Service de médecine physique et de réadaption pédiatrique, Saint-Étienne, France
| | - Mickael Dinomais
- CHU Angers, Département de Médecine Physique et de Réadaption and LUNAM, Université d'Angers, Laboratoire Angevin de Rechereche en Ingénierie des Systèmes (LARIS), Angers, France
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Strölin M, Krägeloh-Mann I, Kehrer C, Wilke M, Groeschel S. Demyelination load as predictor for disease progression in juvenile metachromatic leukodystrophy. Ann Clin Transl Neurol 2017; 4:403-410. [PMID: 28589167 PMCID: PMC5454396 DOI: 10.1002/acn3.420] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Revised: 04/06/2017] [Accepted: 04/07/2017] [Indexed: 11/15/2022] Open
Abstract
Objective The aim of this study was to investigate whether the extent and topography of cerebral demyelination correlates with and predicts disease progression in patients with juvenile metachromatic leukodystrophy (MLD). Methods A total of 137 MRIs of 46 patients with juvenile MLD were analyzed. Demyelination load and brain volume were quantified using the previously developed Software “clusterize.” Clinical data were collected within the German Leukodystrophy Network and included full scale intelligence quotient (FSIQ) and gross motor function data. Voxel‐based lesion‐symptom mapping (VLSM) across the whole brain was performed to investigate the spatial relationship of cerebral demyelination with motor or cognitive function. The prognostic value of the demyelination load at disease onset was assessed to determine the severity of disease progression. Results The demyelination load (corrected by the individual brain volume) correlated significantly with gross motor function (r = +0.55) and FSIQ (r = −0.55). Demyelination load at disease onset was associated with the severity of disease progression later on (P < 0.01). VLSM results associated frontal lobe demyelination with loss in FSIQ and more central region demyelination with decline of motor function. Especially progression of demyelination within the motor area was associated with severe disease progression. Interpretation We were able to show for the first time in a large cohort of patients with juvenile MLD that the demyelination load correlates with motor and cognitive symptoms. Moreover, demyelination load at disease onset, especially the involvement of the central region, predicts severity of disease progression. Thus, demyelination load seems a functionally relevant MRI parameter.
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Affiliation(s)
- Manuel Strölin
- Department of Pediatric Neurology & Developmental Medicine University Children's Hospital Tübingen Germany
| | - Ingeborg Krägeloh-Mann
- Department of Pediatric Neurology & Developmental Medicine University Children's Hospital Tübingen Germany
| | - Christiane Kehrer
- Department of Pediatric Neurology & Developmental Medicine University Children's Hospital Tübingen Germany
| | - Marko Wilke
- Department of Pediatric Neurology & Developmental Medicine University Children's Hospital Tübingen Germany.,Experimental Pediatric Neuroimaging University Children's Hospital Tübingen Germany
| | - Samuel Groeschel
- Department of Pediatric Neurology & Developmental Medicine University Children's Hospital Tübingen Germany.,Experimental Pediatric Neuroimaging University Children's Hospital Tübingen Germany
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Ankele M, Lim LH, Groeschel S, Schultz T. Versatile, robust, and efficient tractography with constrained higher-order tensor fODFs. Int J Comput Assist Radiol Surg 2017; 12:1257-1270. [DOI: 10.1007/s11548-017-1593-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Accepted: 04/19/2017] [Indexed: 12/13/2022]
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Groeschel S, Hagberg GE, Schultz T, Balla DZ, Klose U, Hauser TK, Nägele T, Bieri O, Prasloski T, MacKay AL, Krägeloh-Mann I, Scheffler K. Assessing White Matter Microstructure in Brain Regions with Different Myelin Architecture Using MRI. PLoS One 2016; 11:e0167274. [PMID: 27898701 PMCID: PMC5127571 DOI: 10.1371/journal.pone.0167274] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Accepted: 11/13/2016] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE We investigate how known differences in myelin architecture between regions along the cortico-spinal tract and frontal white matter (WM) in 19 healthy adolescents are reflected in several quantitative MRI parameters that have been proposed to non-invasively probe WM microstructure. In a clinically feasible scan time, both conventional imaging sequences as well as microstructural MRI parameters were assessed in order to quantitatively characterise WM regions that are known to differ in the thickness of their myelin sheaths, and in the presence of crossing or parallel fibre organisation. RESULTS We found that diffusion imaging, MR spectroscopy (MRS), myelin water fraction (MWF), Magnetization Transfer Imaging, and Quantitative Susceptibility Mapping were myelin-sensitive in different ways, giving complementary information for characterising WM microstructure with different underlying fibre architecture. From the diffusion parameters, neurite density (NODDI) was found to be more sensitive than fractional anisotropy (FA), underlining the limitation of FA in WM crossing fibre regions. In terms of sensitivity to different myelin content, we found that MWF, the mean diffusivity and chemical-shift imaging based MRS yielded the best discrimination between areas. CONCLUSION Multimodal assessment of WM microstructure was possible within clinically feasible scan times using a broad combination of quantitative microstructural MRI sequences. By assessing new microstructural WM parameters we were able to provide normative data and discuss their interpretation in regions with different myelin architecture, as well as their possible application as biomarker for WM disorders.
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Affiliation(s)
| | - Gisela E. Hagberg
- High Field Magnetic Resonance, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany
- Biomedical Magnetic Resonance, University Hospital Tübingen, Germany
| | - Thomas Schultz
- Institute of Computer Science, University of Bonn, Germany
| | - Dávid Z. Balla
- Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Uwe Klose
- Department of Diagnostic and Interventional Neuroradiology, University Hospital, Tübingen, Germany
| | - Till-Karsten Hauser
- Department of Diagnostic and Interventional Neuroradiology, University Hospital, Tübingen, Germany
| | - Thomas Nägele
- Department of Diagnostic and Interventional Neuroradiology, University Hospital, Tübingen, Germany
| | - Oliver Bieri
- Radiological Physics, University of Basel, Basel, Switzerland
| | | | | | | | - Klaus Scheffler
- High Field Magnetic Resonance, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany
- Biomedical Magnetic Resonance, University Hospital Tübingen, Germany
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Groeschel S, Kühl JS, Bley AE, Kehrer C, Weschke B, Döring M, Böhringer J, Schrum J, Santer R, Kohlschütter A, Krägeloh-Mann I, Müller I. Long-term Outcome of Allogeneic Hematopoietic Stem Cell Transplantation in Patients With Juvenile Metachromatic Leukodystrophy Compared With Nontransplanted Control Patients. JAMA Neurol 2016; 73:1133-40. [DOI: 10.1001/jamaneurol.2016.2067] [Citation(s) in RCA: 67] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Samuel Groeschel
- Department of Pediatric Neurology and Developmental Medicine, University Children’s Hospital of Tübingen, Tübingen, Germany
| | - Jörn-Sven Kühl
- Department of Pediatric Oncology, Charité University Medicine Berlin, Berlin, Germany
| | - Annette E. Bley
- Department of Pediatrics, University Children’s Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Christiane Kehrer
- Department of Pediatric Neurology and Developmental Medicine, University Children’s Hospital of Tübingen, Tübingen, Germany
| | - Bernhard Weschke
- Department of Neuropediatrics, Charité University Medicine Berlin, Berlin, Germany
| | - Michaela Döring
- Department of Pediatric Hematology and Oncology, University Children’s Hospital of Tübingen, Tübingen, Germany
| | - Judith Böhringer
- Department of Pediatric Neurology and Developmental Medicine, University Children’s Hospital of Tübingen, Tübingen, Germany
| | - Johanna Schrum
- Department of Pediatric Hematology and Oncology, University Children’s Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - René Santer
- Department of Pediatrics, University Children’s Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Alfried Kohlschütter
- Department of Pediatrics, University Children’s Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Ingeborg Krägeloh-Mann
- Department of Pediatric Neurology and Developmental Medicine, University Children’s Hospital of Tübingen, Tübingen, Germany
| | - Ingo Müller
- Department of Pediatric Hematology and Oncology, University Children’s Hospital of Tübingen, Tübingen, Germany6Department of Pediatric Hematology and Oncology, University Children’s Hospital Hamburg-Eppendorf, Hamburg, Germany
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Affiliation(s)
- Ingeborg Krägeloh-Mann
- Department of Pediatric Neurology, University Children's Hospital of Tübingen, Tübingen, Germany.
| | - Samuel Groeschel
- Department of Pediatric Neurology, University Children's Hospital of Tübingen, Tübingen, Germany
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