1
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Ng BG, Freeze HH, Himmelreich N, Blau N, Ferreira CR. Clinical and biochemical footprints of congenital disorders of glycosylation: Proposed nosology. Mol Genet Metab 2024; 142:108476. [PMID: 38653092 DOI: 10.1016/j.ymgme.2024.108476] [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: 01/30/2024] [Revised: 04/08/2024] [Accepted: 04/09/2024] [Indexed: 04/25/2024]
Abstract
We have identified 200 congenital disorders of glycosylation (CDG) caused by 189 different gene defects and have proposed a classification system for CDG based on the mode of action. This classification includes 8 categories: 1. Disorders of monosaccharide synthesis and interconversion, 2. Disorders of nucleotide sugar synthesis and transport, 3. Disorders of N-linked protein glycosylation, 4. Disorders of O-linked protein glycosylation, 5. Disorders of lipid glycosylation, 6. Disorders of vesicular trafficking, 7. Disorders of multiple glycosylation pathways and 8. Disorders of glycoprotein/glycan degradation. Additionally, using information from IEMbase, we have described the clinical involvement of 19 organs and systems, as well as essential laboratory investigations for each type of CDG. Neurological, dysmorphic, skeletal, and ocular manifestations were the most prevalent, occurring in 81%, 56%, 53%, and 46% of CDG, respectively. This was followed by digestive, cardiovascular, dermatological, endocrine, and hematological symptoms (17-34%). Immunological, genitourinary, respiratory, psychiatric, and renal symptoms were less frequently reported (8-12%), with hair and dental abnormalities present in only 4-7% of CDG. The information provided in this study, including our proposed classification system for CDG, may be beneficial for healthcare providers caring for individuals with metabolic conditions associated with CDG.
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Affiliation(s)
- Bobby G Ng
- Human Genetics Program, Sanford Children's Health Research Center, La Jolla, CA, USA
| | - Hudson H Freeze
- Human Genetics Program, Sanford Children's Health Research Center, La Jolla, CA, USA.
| | - Nastassja Himmelreich
- Dietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Children's Hospital, Heidelberg, Germany; Center for Human Genetics Tübingen, Tübingen, Germany
| | - Nenad Blau
- Divisions of Metabolism, University Children's Hospital, Zürich, Switzerland.
| | - Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
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2
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Trefz F, Frauendienst-Egger G, Dienel G, Cannet C, Schmidt-Mader B, Haas D, Blau N, Himmelreich N, Spraul M, Freisinger P, Dobrowolski S, Berg D, Pilotto A. Does hyperphenylalaninemia induce brain glucose hypometabolism? Cerebral spinal fluid findings in treated adult phenylketonuric patients. Mol Genet Metab 2024; 142:108464. [PMID: 38537426 DOI: 10.1016/j.ymgme.2024.108464] [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: 01/31/2024] [Revised: 03/21/2024] [Accepted: 03/22/2024] [Indexed: 05/08/2024]
Abstract
Despite numerous studies in human patients and animal models for phenylketonuria (PKU; OMIM#261600), the pathophysiology of PKU and the underlying causes of brain dysfunction and cognitive problems in PKU patients are not well understood. In this study, lumbar cerebral spinal fluid (CSF) was obtained immediately after blood sampling from early-treated adult PKU patients who had fasted overnight. Metabolite and amino acid concentrations in the CSF of PKU patients were compared with those of non-PKU controls. The CSF concentrations and CSF/plasma ratios for glucose and lactate were found to be below normal, similar to what has been reported for glucose transporter1 (GLUT1) deficiency patients who exhibit many of the same clinical symptoms as untreated PKU patients. CSF glucose and lactate levels were negatively correlated with CSF phenylalanine (Phe), while CSF glutamine and glutamate levels were positively correlated with CSF Phe levels. Plasma glucose levels were negatively correlated with plasma Phe concentrations in PKU subjects, which partly explains the reduced CSF glucose concentrations. Although brain glucose concentrations are unlikely to be low enough to impair brain glucose utilization, it is possible that the metabolism of Phe in the brain to produce phenyllactate, which can be transported across the blood-brain barrier to the blood, may consume glucose and/or lactate to generate the carbon backbone for glutamate. This glutamate is then converted to glutamine and carries the Phe-derived ammonia from the brain to the blood. While this mechanism remains to be tested, it may explain the correlations of CSF glutamine, glucose, and lactate concentrations with CSF Phe.
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Affiliation(s)
- Friedrich Trefz
- Heidelberg University, Medical Faculty of Heidelberg, Center for Child and Adolescent Medicine, Division of Child Neurology and Metabolic Medicine, Heidelberg, Germany.
| | | | - Gerald Dienel
- Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, United States; Department of Cell Biology and Physiology, University of New Mexico, Albuquerque, NM, United States
| | | | - Brigitte Schmidt-Mader
- Heidelberg University, Medical Faculty of Heidelberg, Center for Child and Adolescent Medicine, Division of Child Neurology and Metabolic Medicine, Heidelberg, Germany
| | - Dorothea Haas
- Heidelberg University, Medical Faculty of Heidelberg, Center for Child and Adolescent Medicine, Division of Child Neurology and Metabolic Medicine, Heidelberg, Germany
| | - Nenad Blau
- University Children's Hospital Zürich, Zürich, Switzerland
| | | | | | - Peter Freisinger
- Klinikum Reutlingen, Department of Pediatrics, Reutlingen, Germany
| | - Steven Dobrowolski
- Department of Pathology, University of Pittsburgh, School of Medicine, Pittsburgh, PA 15224, United States
| | - Daniela Berg
- Department of Neurology, University Hospital of Schleswig-Holstein, Kiel, Germany
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3
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Tokatly Latzer I, Bertoldi M, Blau N, DiBacco ML, Elsea SH, García-Cazorla À, Gibson KM, Gropman AL, Hanson E, Hoffman C, Jeltsch K, Juliá-Palacios N, Knerr I, Lee HHC, Malaspina P, McConnell A, Opladen T, Oppebøen M, Rotenberg A, Walterfang M, Wang-Tso L, Wevers RA, Roullet JB, Pearl PL. Consensus guidelines for the diagnosis and management of succinic semialdehyde dehydrogenase deficiency. Mol Genet Metab 2024; 142:108363. [PMID: 38452608 DOI: 10.1016/j.ymgme.2024.108363] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 02/27/2024] [Accepted: 02/29/2024] [Indexed: 03/09/2024]
Abstract
Succinic semialdehyde dehydrogenase deficiency (SSADHD) (OMIM #271980) is a rare autosomal recessive metabolic disorder caused by pathogenic variants of ALDH5A1. Deficiency of SSADH results in accumulation of γ-aminobutyric acid (GABA) and other GABA-related metabolites. The clinical phenotype of SSADHD includes a broad spectrum of non-pathognomonic symptoms such as cognitive disabilities, communication and language deficits, movement disorders, epilepsy, sleep disturbances, attention problems, anxiety, and obsessive-compulsive traits. Current treatment options for SSADHD remain supportive, but there are ongoing attempts to develop targeted genetic therapies. This study aimed to create consensus guidelines for the diagnosis and management of SSADHD. Thirty relevant statements were initially addressed by a systematic literature review, resulting in different evidence levels of strength according to the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) criteria. The highest level of evidence (level A), based on randomized controlled trials, was unavailable for any of the statements. Based on cohort studies, Level B evidence was available for 12 (40%) of the statements. Thereupon, through a process following the Delphi Method and directed by the Appraisal of Guidelines for Research and Evaluation (AGREE II) criteria, expert opinion was sought, and members of an SSADHD Consensus Group evaluated all the statements. The group consisted of neurologists, epileptologists, neuropsychologists, neurophysiologists, metabolic disease specialists, clinical and biochemical geneticists, and laboratory scientists affiliated with 19 institutions from 11 countries who have clinical experience with SSADHD patients and have studied the disorder. Representatives from parent groups were also included in the Consensus Group. An analysis of the survey's results yielded 25 (83%) strong and 5 (17%) weak agreement strengths. These first-of-their-kind consensus guidelines intend to consolidate and unify the optimal care that can be provided to individuals with SSADHD.
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Affiliation(s)
- Itay Tokatly Latzer
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; School of Medicine, Faculty of Medicine and Health Sciences, Tel-Aviv University, Tel Aviv, Israel.
| | - Mariarita Bertoldi
- Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Italy.
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital, Zürich, Switzerland; Children's Research Center, University Children's Hospital Zurich, Switzerland.
| | - Melissa L DiBacco
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Sarah H Elsea
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
| | - Àngels García-Cazorla
- Neurometabolic Unit, Neurology Department, Institut de Recerca, Hospital Sant Joan de Déu, Barcelona, Spain.
| | - K Michael Gibson
- Department of Pharmacotherapy, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA, USA.
| | - Andrea L Gropman
- Division of Neurogenetics and Neurodevelopmental Disabilities, Children's National Hospital, Washington, D.C, USA.
| | - Ellen Hanson
- Human Neurobehavioral Core, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Rosamund Stone Zander Translational Neuroscience Center, Boston Children's Hospital, MA 02115, USA.
| | | | - Kathrin Jeltsch
- Heidelberg University, Medical Faculty Heidelberg, Center for Pediatric and Adolescent Medicine, Department I, Division of Pediatric Neurology and Metabolic Medicine, Heidelberg, Germany.
| | - Natalia Juliá-Palacios
- Neurometabolic Unit, Neurology Department, Institut de Recerca, Hospital Sant Joan de Déu, Barcelona, Spain.
| | - Ina Knerr
- National Centre for Inherited Metabolic Disorders, Children's Health Ireland, Temple Street, Dublin, Ireland.
| | - Henry H C Lee
- Rosamund Stone Zander Translational Neuroscience Center, Boston Children's Hospital, MA 02115, USA; F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA 02115, USA.
| | - Patrizia Malaspina
- Department of Biology, Tor Vergata University, Via della Ricerca Scientifica s.n.c., Rome 00133, Italy.
| | | | - Thomas Opladen
- Heidelberg University, Medical Faculty Heidelberg, Center for Pediatric and Adolescent Medicine, Department I, Division of Pediatric Neurology and Metabolic Medicine, Heidelberg, Germany.
| | | | - Alexander Rotenberg
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA 02115, USA.
| | - Mark Walterfang
- Neuropsychiatry, Royal Melbourne Hospital, Melbourne, Australia; Department of Psychiatry, University of Melbourne, Melbourne, Australia; Florey Institute of Neuroscience and Mental Health, Melbourne, Australia; Department of Health and Medical Sciences, Edith Cowan University, Perth, Australia.
| | - Lee Wang-Tso
- Department of Pediatrics, National Taiwan University Hospital, Taipei, Taiwan
| | - Ron A Wevers
- Translational Metabolic Laboratory, Department Human Genetics, Radboud University Medical Centre, Nijmegen, the Netherlands.
| | - Jean-Baptiste Roullet
- Department of Pharmacotherapy, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA, USA.
| | - Phillip L Pearl
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
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4
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Blau N. Estimating the prevalence of ultra-rare inherited metabolic disorders: Aromatic amino acid decarboxylase (AADC) deficiency. Mol Genet Metab 2024; 141:108150. [PMID: 38302375 DOI: 10.1016/j.ymgme.2024.108150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Affiliation(s)
- Nenad Blau
- Division of Metabolism, University Children's Hospital Zurich, Zurich, Switzerland.
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5
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Wong SSN, Yuen LYP, Kan E, Blau N, Rodenburg R, Lam CW, Wong VCN, Mochel F, Wevers RA, Fung CW. CYP2U1: An emerging treatable neurometabolic disease with cerebral folate deficiency in 2 Chinese brothers. Mol Genet Metab Rep 2024; 38:101023. [PMID: 38058766 PMCID: PMC10696413 DOI: 10.1016/j.ymgmr.2023.101023] [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: 10/09/2023] [Revised: 11/16/2023] [Accepted: 11/16/2023] [Indexed: 12/08/2023] Open
Abstract
With the rapid advancement of medical technologies in genomic and molecular medicine, the number of treatable neurometabolic diseases is quickly expanding. Spastic paraplegia 56 (SPG56), one of the severe autosomal recessive forms of neurodegenerative disorders caused by pathogenic variants in the CYP2U1 gene, has no reported specific targeted treatment yet. Here we report 2 Chinese brothers with CYP2U1 bi-allelic pathogenic variants with cerebral folate deficiency who were treated for over a decade with folinic acid supplement. Patients have remained stable under therapy.
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Affiliation(s)
- Sheila Suet-Na Wong
- Department of Paediatric and Adolescent Medicine, Hong Kong Children's Hospital, Hong Kong, China
| | - Liz Yuet-Ping Yuen
- Department of Pathology, Hong Kong Children's Hospital, Hong Kong, China
| | - Elaine Kan
- Department of Radiology, Hong Kong Children's Hospital, Hong Kong, China
| | - Nenad Blau
- Divisions of Metabolism, University Children's Hospital, Zürich, Switzerland
| | - Richard Rodenburg
- Translational Metabolic Laboratory, Department Laboratory Medicine, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Ching-wan Lam
- Department of Pathology, The University of Hong Kong, Hong Kong, China
| | - Virginia Chun-Nei Wong
- Department of Paediatric and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Fanny Mochel
- AP-HP, Pitié-Salpêtrière University Hospital, Department of Medical Genetics, Reference Centers for Adult Neurometabolic Diseases and Adult Leukodystrophies, Paris, France
- INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau, ICM, Paris, France
| | - Ron A. Wevers
- Translational Metabolic Laboratory, Department Laboratory Medicine, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Cheuk-Wing Fung
- Department of Paediatric and Adolescent Medicine, Hong Kong Children's Hospital, Hong Kong, China
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6
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Dunlea E, Crushell E, Cotter M, Blau N, Ferreira CR. Clinical and biochemical footprints of inherited metabolic disease. XVI. Hematological abnormalities. Mol Genet Metab 2023; 140:107735. [PMID: 37989003 DOI: 10.1016/j.ymgme.2023.107735] [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: 08/25/2023] [Revised: 11/08/2023] [Accepted: 11/09/2023] [Indexed: 11/23/2023]
Abstract
Many classical inherited metabolic diseases (IMDs) are associated with significant hematological complications such as anemia or thrombosis. While these may not be the prominent presenting feature of these conditions, management of these issues is important for optimal outcomes in people with IMDs. Some disorders that are included in the nosology of inherited metabolic disorders, such as inherited disorders of red cell energy metabolism, have purely hematological features, and have typically been cared for by a hematologist. In the 16th issue of the Footprints series, we identified 265 IMDs associated with hematological abnormalities. We review the major hematological manifestations of IMDs, suggest further investigation of hematological findings, and discuss treatment options available for specific hematological complications of IMDs.
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Affiliation(s)
- Eoghan Dunlea
- Dept of Haematology, Children's Health Ireland, Temple Street, Dublin, Ireland; School of Medicine, Trinity College, Dublin, Ireland.
| | - Ellen Crushell
- National Centre for Inherited Metabolic Disorders, Children's Health Ireland, Temple Street, Dublin, Ireland; School of Medicine, University College Dublin, Dublin, Ireland
| | - Melanie Cotter
- Dept of Haematology, Children's Health Ireland, Temple Street, Dublin, Ireland; School of Medicine, University College Dublin, Dublin, Ireland.
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital, Zürich, Switzerland.
| | - Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
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7
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Schumann A, Schultheiss UT, Ferreira CR, Blau N. Clinical and biochemical footprints of inherited metabolic diseases. XIV. Metabolic kidney diseases. Mol Genet Metab 2023; 140:107683. [PMID: 37597335 DOI: 10.1016/j.ymgme.2023.107683] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [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: 07/21/2023] [Revised: 08/11/2023] [Accepted: 08/11/2023] [Indexed: 08/21/2023]
Abstract
Kidney disease is a global health burden with high morbidity and mortality. Causes of kidney disease are numerous, extending from common disease groups like diabetes and arterial hypertension to rare conditions including inherited metabolic diseases (IMDs). Given its unique anatomy and function, the kidney is a target organ in about 10% of known IMDs, emphasizing the relevant contribution of IMDs to kidney disease. The pattern of injury affects all segments of the nephron including glomerular disease, proximal and distal tubular damage, kidney cyst formation, built-up of nephrocalcinosis and stones as well as severe malformations. We revised and updated the list of known metabolic etiologies associated with kidney involvement and found 190 relevant IMDs. This represents the 14th of a series of educational articles providing a comprehensive and revised list of metabolic differential diagnoses according to system involvement.
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Affiliation(s)
- Anke Schumann
- Department of General Paediatrics, Adolescent Medicine and Neonatology, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany.
| | - Ulla T Schultheiss
- Department of Medicine IV, Nephrology and Primary Care, Faculty of Medicine, and Medical Center, University of Freiburg, Institute of Genetic Epidemiology, Freiburg, Germany.
| | - Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, USA.
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital, Zürich, Switzerland.
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8
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Rossi A, Basilicata S, Borrelli M, Ferreira CR, Blau N, Santamaria F. Clinical and biochemical footprints of inherited metabolic diseases. XIII. Respiratory manifestations. Mol Genet Metab 2023; 140:107655. [PMID: 37517329 DOI: 10.1016/j.ymgme.2023.107655] [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: 04/28/2023] [Revised: 07/17/2023] [Accepted: 07/17/2023] [Indexed: 08/01/2023]
Abstract
At any age, respiratory manifestations are a major cause of increased morbidity and mortality of inherited metabolic diseases (IMDs). Type and severity are extremely variable, this depending on the type of the underlying disorder. Symptoms and signs originating from upper or lower airways and/or thoracic wall and/or respiratory muscles involvement can occur either at presentation or in the late clinical course. Acute respiratory symptoms can trigger metabolic decompensation which, in turn, makes airway symptoms worse, creating a vicious circle. We have identified 181 IMDs associated with various types of respiratory symptoms which were classified into seven groups according to the type of clinical manifestations affecting the respiratory system: (i) respiratory failure, (ii) restrictive lung disease, (iii) interstitial lung disease, (iv) lower airway disease, (v) upper airway obstruction, (vi) apnea, and (vii) other. We also provided a list of investigations to be performed based on the respiratory phenotypes and indicated the therapeutic strategies currently available for IMD-associated airway disease. This represents the thirteenth issue in a series of educational summaries providing a comprehensive and updated list of metabolic differential diagnoses according to system involvement.
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Affiliation(s)
- Alessandro Rossi
- Department of Translational Medical Sciences, University of Naples Federico II, Naples, Italy
| | - Simona Basilicata
- Department of Translational Medical Sciences, University of Naples Federico II, Naples, Italy
| | - Melissa Borrelli
- Department of Translational Medical Sciences, University of Naples Federico II, Naples, Italy
| | - Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital, Zürich, Switzerland.
| | - Francesca Santamaria
- Department of Translational Medical Sciences, University of Naples Federico II, Naples, Italy.
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9
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Latzer IT, Blau N, Ferreira CR, Pearl PL. Clinical and biochemical footprints of inherited metabolic diseases. XV. Epilepsies. Mol Genet Metab 2023; 140:107690. [PMID: 37659319 DOI: 10.1016/j.ymgme.2023.107690] [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: 06/11/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/04/2023]
Abstract
We provide a comprehensive overview of inherited metabolic disorders (IMDs) in which epilepsy is a prominent manifestation. Our unique database search has identified 256 IMDs associated with various types of epilepsies, which we classified according to the classic pathophysiology-based classification of IMDs, and according to selected seizure-related factors (neonatal seizures, infantile spasms, myoclonic seizures, and characteristic EEG patterns) and treatability for the underlying metabolic defect. Our findings indicate that inherited metabolic epilepsies are more likely to present in the neonatal period, with infantile spasms or myoclonic seizures. Additionally, the ∼20% of treatable inherited metabolic epilepsies found by our search were mainly associated with the IMD groups of "cofactor and mineral metabolism" and "Intermediary nutrient metabolism." The information provided by this study, including a comprehensive list of IMDs with epilepsy stratified according to age of onset, and seizure type and characteristics, along with an overview of the key clinical features and proposed diagnostic and therapeutic approaches, may benefit any epileptologist and healthcare provider caring for individuals with metabolic conditions.
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Affiliation(s)
- Itay Tokatly Latzer
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel.
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital, Zürich, Switzerland.
| | - Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Phillip L Pearl
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
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Himmelreich N, Bertoldi M, Alfadhel M, Alghamdi MA, Anikster Y, Bao X, Bashiri FA, Zeev BB, Bisello G, Ceylan AC, Chien YH, Choy YS, Elsea SH, Flint L, García-Cazorla À, Gijavanekar C, Gümüş EY, Hamad MH, Hişmi B, Honzik T, Kuseyri Hübschmann O, Hwu WL, Ibáñez-Micó S, Jeltsch K, Juliá-Palacios N, Kasapkara ÇS, Kurian MA, Kusmierska K, Liu N, Ngu LH, Odom JD, Ong WP, Opladen T, Oppeboen M, Pearl PL, Pérez B, Pons R, Rygiel AM, Shien TE, Spaull R, Sykut-Cegielska J, Tabarki B, Tangeraas T, Thöny B, Wassenberg T, Wen Y, Yakob Y, Yin JGC, Zeman J, Blau N. Corrigendum to: Prevalence of DDC genotypes in patients with aromatic L-amino acid decarboxylase (AADC) deficiency and in silico prediction of structural protein changes. Mol Genet Metab 2023; 139:107647. [PMID: 37453860 DOI: 10.1016/j.ymgme.2023.107647] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 07/18/2023]
Affiliation(s)
- Nastassja Himmelreich
- Dietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Children's Hospital, Heidelberg, Germany
| | - Mariarita Bertoldi
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Majid Alfadhel
- Medical Genomic Research Department, King Abdullah International Medical Research Center (KAIMRC), King Saud Bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia; Genetics and Precision Medicine Department, King Abdullah Specialized Children's Hospital, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Malak Ali Alghamdi
- Medical Genetic Division, Pediatric Department, College of Medicine, King Saud University, Riyadh, SA, Saudi Arabia
| | - Yair Anikster
- Metabolic Disease Unit, The Edmond and Lily Safra Childrens Hospital, Sheba Medical Center, Tel Hashomer, Sackler School of Medicine, Tel Aviv University, Israel
| | - Xinhua Bao
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - Fahad A Bashiri
- Division of Neurology, Department of Pediatrics, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Bruria Ben Zeev
- Pediatric Neurology, Safra Pediatric Hospital, Sheba Medical Center, Sackler School of Medicine, Tel Aviv University, Ramat Gan, Israel
| | - Giovanni Bisello
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Ahmet Cevdet Ceylan
- Ankara Yıldırım Beyazıt University, Department of Medical Genetics, Ankara Bilkent City Hospital, Ankara, Turkey
| | - Yin-Hsiu Chien
- Department of Medical Genetics & Pediatrics, National Taiwan University Hospital, Taipei, Taiwan
| | | | - Sarah H Elsea
- Dept. of Molecular & Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | | | - Àngels García-Cazorla
- Neurometabolic Unit, Department of Neurology, Hospital Sant Joan de Déu, CIBERER, Barcelona, Spain
| | - Charul Gijavanekar
- Dept. of Molecular & Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Emel Yılmaz Gümüş
- Department of Pediatrics and Inherited Metabolic Diseases, Marmara University School of Medicine, Istanbul, Turkey
| | - Muddathir H Hamad
- Neurology Division, Pediatric Department, King Saud University Medical City, Riyadh, SA, Saudi Arabia
| | - Burcu Hişmi
- Department of Pediatrics and Inherited Metabolic Diseases, Marmara University School of Medicine, Istanbul, Turkey
| | - Tomas Honzik
- Dept. of Pediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Oya Kuseyri Hübschmann
- Dietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Children's Hospital, Heidelberg, Germany; Division of Neuropediatrics and Metabolic Medicine, University Children's Hospital Heidelberg, Heidelberg, Germany
| | - Wuh-Liang Hwu
- Department of Medical Genetics & Pediatrics, National Taiwan University Hospital, Taipei, Taiwan
| | | | - Kathrin Jeltsch
- Division of Neuropediatrics and Metabolic Medicine, University Children's Hospital Heidelberg, Heidelberg, Germany
| | - Natalia Juliá-Palacios
- Neurometabolic Unit, Department of Neurology, Hospital Sant Joan de Déu, CIBERER, Barcelona, Spain
| | - Çiğdem Seher Kasapkara
- Department of Pediatric Metabolism, Ankara Yıldırım Beyazıt University, Ankara Bilkent City Hospital, Ankara, Turkey
| | - Manju A Kurian
- Developmental Neurosciences, Zayed Centre for Research, UCL GOS-Institute of Child Health & Department of Neurology, Great Ormond Street Hospital, London, United Kingdom
| | - Katarzyna Kusmierska
- Department of Screening and Metabolic Diagnostics, Institute of Mother and Child, Warsaw, Poland
| | - Ning Liu
- Dept. of Molecular & Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Lock Hock Ngu
- Department of Genetics, Hospital Kuala Lumpur, Ministry of Health, Malaysia
| | - John D Odom
- Dept. of Molecular & Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Winnie Peitee Ong
- Department of Genetics, Hospital Kuala Lumpur, Ministry of Health, Malaysia
| | - Thomas Opladen
- Division of Neuropediatrics and Metabolic Medicine, University Children's Hospital Heidelberg, Heidelberg, Germany
| | - Mari Oppeboen
- Children's Department, Division of Child Neurology and Norwegian National Unit for Newborn Screening, Division of Paediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
| | - Phillip L Pearl
- Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Belén Pérez
- Centro de Diagnostico de Enfermedades Moleculares, CIBERER, IdiPAZ, Universidad Autonoma de Madrid, Madrid, Spain
| | - Roser Pons
- First Department of Pediatrics, Aghia Sophia Children's Hospital, University of Athens, Athens, Greece
| | - Agnieszka Magdalena Rygiel
- Department of Medical Genetics, Laboratory of Hereditary Diseases, Institute of Mother and Child, Warsaw, Poland
| | - Tan Ee Shien
- Genetics Service, Department of Paediatrics, KK Women's and Children's Hospital, Singapore
| | - Robert Spaull
- Developmental Neurosciences, Zayed Centre for Research, UCL GOS-Institute of Child Health & Department of Neurology, Great Ormond Street Hospital, London, United Kingdom
| | - Jolanta Sykut-Cegielska
- Department of Inborn Errors of Metabolism and Paediatrics, The Institute of Mother and Child, Warsaw, Poland
| | - Brahim Tabarki
- Division of Neurology, Department of Pediatrics, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
| | - Trine Tangeraas
- Norwegian National Unit for Newborn Screening, Division of Paediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
| | - Beat Thöny
- Divisions of Metabolism, University Children's Hospital, Zürich, Switzerland
| | | | - Yongxin Wen
- Medical Genetic Division, Pediatric Department, College of Medicine, King Saud University, Riyadh, SA, Saudi Arabia
| | - Yusnita Yakob
- Molecular Diagnostics Unit, Specialised Diagnostics Centre, Institute for Medical Research, National Institute of Health, Ministry of Health, Malaysia
| | - Jasmine Goh Chew Yin
- Genetics Service, Department of Paediatrics, KK Women's and Children's Hospital, Singapore
| | - Jiri Zeman
- Dept. of Pediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Nenad Blau
- Divisions of Metabolism, University Children's Hospital, Zürich, Switzerland.
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11
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Himmelreich N, Bertoldi M, Alfadhel M, Alghamdi MA, Anikster Y, Bao X, Bashiri FA, Zeev BB, Bisello G, Ceylan AC, Chien YH, Choy YS, Elsea SH, Flint L, García-Cazorla À, Gijavanekar C, Gümüş EY, Hamad MH, Hişmi B, Honzik T, Hübschmann OK, Hwu WL, Ibáñez-Micó S, Jeltsch K, Juliá-Palacios N, Kasapkara ÇS, Kurian MA, Kusmierska K, Liu N, Ngu LH, Odom JD, Ong WP, Opladen T, Oppeboen M, Pearl PL, Pérez B, Pons R, Rygiel AM, Shien TE, Spaull R, Sykut-Cegielska J, Tabarki B, Tangeraas T, Thöny B, Wassenberg T, Wen Y, Yakob Y, Yin JGC, Zeman J, Blau N. Prevalence of DDC genotypes in patients with aromatic L-amino acid decarboxylase (AADC) deficiency and in silico prediction of structural protein changes. Mol Genet Metab 2023; 139:107624. [PMID: 37348148 DOI: 10.1016/j.ymgme.2023.107624] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [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: 03/14/2023] [Revised: 05/29/2023] [Accepted: 05/30/2023] [Indexed: 06/24/2023]
Abstract
Aromatic L-amino acid decarboxylase (AADC) deficiency is a rare autosomal recessive genetic disorder affecting the biosynthesis of dopamine, a precursor of both norepinephrine and epinephrine, and serotonin. Diagnosis is based on the analysis of CSF or plasma metabolites, AADC activity in plasma and genetic testing for variants in the DDC gene. The exact prevalence of AADC deficiency, the number of patients, and the variant and genotype prevalence are not known. Here, we present the DDC variant (n = 143) and genotype (n = 151) prevalence of 348 patients with AADC deficiency, 121 of whom were previously not reported. In addition, we report 26 new DDC variants, classify them according to the ACMG/AMP/ACGS recommendations for pathogenicity and score them based on the predicted structural effect. The splice variant c.714+4A>T, with a founder effect in Taiwan and China, was the most common variant (allele frequency = 32.4%), and c.[714+4A>T];[714+4A>T] was the most common genotype (genotype frequency = 21.3%). Approximately 90% of genotypes had variants classified as pathogenic or likely pathogenic, while 7% had one VUS allele and 3% had two VUS alleles. Only one benign variant was reported. Homozygous and compound heterozygous genotypes were interpreted in terms of AADC protein and categorized as: i) devoid of full-length AADC, ii) bearing one type of AADC homodimeric variant or iii) producing an AADC protein population composed of two homodimeric and one heterodimeric variant. Based on structural features, a score was attributed for all homodimers, and a tentative prediction was advanced for the heterodimer. Almost all AADC protein variants were pathogenic or likely pathogenic.
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Affiliation(s)
- Nastassja Himmelreich
- Dietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Children's Hospital, Heidelberg, Germany
| | - Mariarita Bertoldi
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Majid Alfadhel
- Medical Genomic Research Department, King Abdullah International Medical Research Center (KAIMRC), King Saud Bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia; Genetics and Precision Medicine Department, King Abdullah Specialized Children's Hospital, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Malak Ali Alghamdi
- Medical Genetic Division, Pediatric Department, College of Medicine, King Saud University, Riyadh, SA, Saudi Arabia
| | - Yair Anikster
- Metabolic Disease Unit, The Edmond and Lily Safra Childrens Hospital, Sheba Medical Center, Tel Hashomer, Sackler School of Medicine, Tel Aviv University, Israel
| | - Xinhua Bao
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - Fahad A Bashiri
- Division of Neurology, Department of Pediatrics, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Bruria Ben Zeev
- Pediatric Neurology, Safra Pediatric Hospital, Sheba Medical Center, Sackler School of Medicine, Tel Aviv University, Ramat Gan, Israel
| | - Giovanni Bisello
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Ahmet Cevdet Ceylan
- Ankara Yıldırım Beyazıt University, Department of Medical Genetics, Ankara Bilkent City Hospital, Ankara, Turkey
| | - Yin-Hsiu Chien
- Department of Medical Genetics & Pediatrics, National Taiwan University Hospital, Taipei, Taiwan
| | | | - Sarah H Elsea
- Dept. of Molecular & Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | | | - Àngels García-Cazorla
- Neurometabolic Unit, Department of Neurology, Hospital Sant Joan de Déu, CIBERER, Barcelona, Spain
| | - Charul Gijavanekar
- Dept. of Molecular & Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Emel Yılmaz Gümüş
- Department of Pediatrics and Inherited Metabolic Diseases, Marmara University School of Medicine, Istanbul, Turkey
| | - Muddathir H Hamad
- Neurology Division, Pediatric Department, King Saud University Medical City, Riyadh, SA, Saudi Arabia
| | - Burcu Hişmi
- Department of Pediatrics and Inherited Metabolic Diseases, Marmara University School of Medicine, Istanbul, Turkey
| | - Tomas Honzik
- Dept. of Pediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Oya Kuseyri Hübschmann
- Division of Neuropediatrics and Metabolic Medicine, University Children's Hospital Heidelberg, Heidelberg, Germany
| | - Wuh-Liang Hwu
- Department of Medical Genetics & Pediatrics, National Taiwan University Hospital, Taipei, Taiwan
| | | | - Kathrin Jeltsch
- Division of Neuropediatrics and Metabolic Medicine, University Children's Hospital Heidelberg, Heidelberg, Germany
| | - Natalia Juliá-Palacios
- Neurometabolic Unit, Department of Neurology, Hospital Sant Joan de Déu, CIBERER, Barcelona, Spain
| | - Çiğdem Seher Kasapkara
- Department of Pediatric Metabolism, Ankara Yıldırım Beyazıt University, Ankara Bilkent City Hospital, Ankara, Turkey
| | - Manju A Kurian
- Developmental Neurosciences, Zayed Centre for Research, UCL GOS-Institute of Child Health & Department of Neurology, Great Ormond Street Hospital, London, United Kingdom
| | - Katarzyna Kusmierska
- Department of Screening and Metabolic Diagnostics, Institute of Mother and Child, Warsaw, Poland
| | - Ning Liu
- Dept. of Molecular & Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Lock Hock Ngu
- Department of Genetics, Hospital Kuala Lumpur, Ministry of Health, Malaysia
| | - John D Odom
- Dept. of Molecular & Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Winnie Peitee Ong
- Department of Genetics, Hospital Kuala Lumpur, Ministry of Health, Malaysia
| | - Thomas Opladen
- Division of Neuropediatrics and Metabolic Medicine, University Children's Hospital Heidelberg, Heidelberg, Germany
| | - Mari Oppeboen
- Children's Department, Division of Child Neurology and Norwegian National Unit for Newborn Screening, Division of Paediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
| | - Phillip L Pearl
- Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Belén Pérez
- Centro de Diagnostico de Enfermedades Moleculares, CIBERER, IdiPAZ, Universidad Autonoma de Madrid, Madrid, Spain
| | - Roser Pons
- First Department of Pediatrics, Aghia Sophia Children's Hospital, University of Athens, Athens, Greece
| | - Agnieszka Magdalena Rygiel
- Department of Medical Genetics, Laboratory of Hereditary Diseases, Institute of Mother and Child, Warsaw, Poland
| | - Tan Ee Shien
- Genetics Service, Department of Paediatrics, KK Women's and Children's Hospital, Singapore
| | - Robert Spaull
- Developmental Neurosciences, Zayed Centre for Research, UCL GOS-Institute of Child Health & Department of Neurology, Great Ormond Street Hospital, London, United Kingdom
| | - Jolanta Sykut-Cegielska
- Department of Inborn Errors of Metabolism and Paediatrics, The Institute of Mother and Child, Warsaw, Poland
| | - Brahim Tabarki
- Division of Neurology, Department of Pediatrics, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
| | - Trine Tangeraas
- Norwegian National Unit for Newborn Screening, Division of Paediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
| | - Beat Thöny
- Divisions of Metabolism, University Children's Hospital, Zürich, Switzerland
| | | | - Yongxin Wen
- Medical Genetic Division, Pediatric Department, College of Medicine, King Saud University, Riyadh, SA, Saudi Arabia
| | - Yusnita Yakob
- Molecular Diagnostics Unit, Specialised Diagnostics Centre, Institute for Medical Research, National Institute of Health, Ministry of Health, Malaysia
| | - Jasmine Goh Chew Yin
- Genetics Service, Department of Paediatrics, KK Women's and Children's Hospital, Singapore
| | - Jiri Zeman
- Dept. of Pediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Nenad Blau
- Divisions of Metabolism, University Children's Hospital, Zürich, Switzerland.
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12
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de Boer L, Cambi A, Verhagen LM, de Haas P, van Karnebeek CDM, Blau N, Ferreira CR. Clinical and biochemical footprints of inherited metabolic diseases. XII. Immunological defects. Mol Genet Metab 2023; 139:107582. [PMID: 37087816 PMCID: PMC10182388 DOI: 10.1016/j.ymgme.2023.107582] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 04/14/2023] [Accepted: 04/14/2023] [Indexed: 04/25/2023]
Abstract
Immunological problems are increasingly acknowledged manifestations in many inherited metabolic diseases (IMDs), ranging from exaggerated inflammation, autoimmunity and abnormal cell counts to recurrent microbial infections. A subgroup of IMDs, the congenital disorders of glycosylation (CDG), includes CDG types that are even classified as primary immunodeficiencies. Here, we reviewed the list of metabolic disorders reported to be associated with various immunological defects and identified 171 IMDs accompanied by immunological manifestations. Most IMDs are accompanied by immune dysfunctions of which immunodeficiency and infections, innate immune defects, and autoimmunity are the most common abnormalities reported in 144/171 (84%), 44/171 (26%) and 33/171 (19%) of IMDs with immune system involvement, respectively, followed by autoinflammation 17/171 (10%). This article belongs to a series aiming at creating and maintaining a comprehensive list of clinical and metabolic differential diagnoses according to organ system involvement.
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Affiliation(s)
- Lonneke de Boer
- Radboud University Medical Center, Amalia Children's Hospital, Nijmegen, the Netherlands.
| | - Alessandra Cambi
- Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Lilly M Verhagen
- Radboud University Medical Center, Amalia Children's Hospital, Nijmegen, the Netherlands; Laboratory of Medical Immunology, Radboud Institute for Molecular Life Sciences, Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Paola de Haas
- Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Clara D M van Karnebeek
- Departments of Pediatrics and Human Genetics, Emma Center for Personalized Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital, Zurich, Switzerland.
| | - Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States of America.
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13
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Salazar D, Kloke KM, Guerrero RB, Ferreira CR, Blau N. Clinical and biochemical footprints of inherited metabolic disorders. XI. Gastrointestinal symptoms. Mol Genet Metab 2023; 138:107528. [PMID: 36774919 PMCID: PMC10509718 DOI: 10.1016/j.ymgme.2023.107528] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 01/28/2023] [Accepted: 01/29/2023] [Indexed: 02/04/2023]
Abstract
Inherited metabolic disorders presenting with gastrointestinal (GI) symptoms are characterized by the dysfunction of the esophagus, stomach, small and large intestines, and pancreas. We have summarized associations of signs and symptoms in 339 inherited metabolic diseases presenting with GI symptoms. Feeding difficulties represent the most common abnormality reported for IMDs with GI involvement (37%) followed by intestinal problems (30%), vomiting (22%), stomach and pancreas involvement (8% each), and esophagus involvement (4%). This represents the eleventh of a series of articles attempting to create and maintain a comprehensive list of clinical and metabolic differential diagnoses according to system involvement.
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Affiliation(s)
- Denise Salazar
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, United States of America.
| | - Karen M Kloke
- Mayo Clinic Laboratories, Rochester, MN, United States of America.
| | | | - Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States of America.
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital, Zürich, Switzerland.
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14
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Himmelreich N, Montioli R, Garbade SF, Kopesky J, Elsea SH, Carducci C, Voltattorni CB, Blau N. Spectrum of DDC variants causing aromatic l-amino acid decarboxylase (AADC) deficiency and pathogenicity interpretation using ACMG-AMP/ACGS recommendations. Mol Genet Metab 2022; 137:359-381. [PMID: 36427457 DOI: 10.1016/j.ymgme.2022.11.003] [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: 08/29/2022] [Revised: 10/25/2022] [Accepted: 11/08/2022] [Indexed: 11/13/2022]
Abstract
Pathogenic variants in dopa decarboxylase (DDC), the gene encoding the aromatic l-amino acid decarboxylase (AADC) enzyme, lead to a severe deficiency of neurotransmitters, resulting in neurological, neuromuscular, and behavioral manifestations clinically characterized by developmental delays, oculogyric crises, dystonia, and severe neurologic dysfunction in infancy. Historically, therapy has been aimed at compensating for neurotransmitter abnormalities, but response to pharmacologic therapy varies, and in most cases, the therapy shows little or no benefit. A novel human DDC gene therapy was recently approved in the European Union that targets the underlying genetic cause of the disorder, providing a new treatment option for patients with AADC deficiency. However, the applicability of human DDC gene therapy depends on the ability of laboratories and clinicians to interpret the results of genetic testing accurately enough to diagnose the patient. An accurate interpretation of genetic variants depends in turn on expert-guided curation of locus-specific databases. The purpose of this research was to identify previously uncharacterized DDC variants that are of pathologic significance in AADC deficiency as well as characterize and curate variants of unknown significance (VUSs) to further advance the diagnostic accuracy of genetic testing for this condition. DDC variants were identified using existing databases and the literature. The pathogenicity of the variants was classified using modified American College of Medical Genetics and Genomics/Association for Molecular Pathology/Association for Clinical Genomic Science (ACMG-AMP/ACGS) criteria. To improve the current variant interpretation recommendations, in silico variant interpretation tools were combined with structural 3D modeling of protein variants and applied comparative analysis to predict the impact of the variant on protein function. A total of 422 variants were identified (http://biopku.org/home/pnddb.asp). Variants were identified on nearly all introns and exons of the DDC gene, as well as the 3' and 5' untranslated regions. The largest percentage of the identified variants (48%) were classified as missense variants. The molecular effects of these missense variants were then predicted, and the pathogenicity of each was classified using a number of variant effect predictors. Using ACMG-AMP/ACGS criteria, 7% of variants were classified as pathogenic, 32% as likely pathogenic, 58% as VUSs of varying subclassifications, 1% as likely benign, and 1% as benign. For 101 out of 108 reported genotypes, at least one allele was classified as pathogenic or likely pathogenic. In silico variant pathogenicity interpretation tools, combined with structural 3D modeling of variant proteins and applied comparative analysis, have improved the current DDC variant interpretation recommendations, particularly of VUSs.
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Affiliation(s)
- Nastassja Himmelreich
- Dietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Children's Hospital, Heidelberg, Germany
| | - Riccardo Montioli
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
| | - Sven F Garbade
- Dietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Children's Hospital, Heidelberg, Germany.
| | - Jeffrey Kopesky
- Medical Affairs, PTC Therapeutics, Inc., South Plainfield, NJ, USA.
| | - Sarah H Elsea
- Department of Molecular & Human Genetics, Baylor College of Medicine, Houston, TX, USA.
| | - Carla Carducci
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
| | - Carla B Voltattorni
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
| | - Nenad Blau
- Divisions of Metabolism, University Children's Hospital, Zürich, Switzerland.
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15
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Horvath GA, Blau N, Ferreira CR. Clinical and biochemical footprints of inherited metabolic disease. V. Cerebral palsy phenotypes. Mol Genet Metab 2022; 137:445-448. [PMID: 33775522 PMCID: PMC10518079 DOI: 10.1016/j.ymgme.2021.03.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 03/09/2021] [Indexed: 12/14/2022]
Abstract
Cerebral palsy is the most common physical disability of childhood describing a heterogeneous group of neurodevelopmental disorders that cause activity limitation, but often are accompanied by disturbances of sensation, perception, cognition, communication and behavior, or by epilepsy. Inborn errors of metabolism have been reported in the literature as presenting with features of cerebral palsy. We reviewed and updated the list of metabolic disorders known to be associated with symptoms suggestive of cerebral palsy and found more than 150 relevant IEMs. This represents the fifth of a series of articles attempting to create and maintain a comprehensive list of clinical and metabolic differential diagnosis according to system involvement.
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Affiliation(s)
- Gabriella A Horvath
- Department of Pediatrics, Division of Biochemical Genetics, University of British Columbia, BC Children's Hospital, Vancouver, BC, Canada.
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital Zürich, Zurich, Switzerland.
| | - Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
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16
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Bakhos D, Blasco H, Galvin JJ, Ferreira CR, Blau N. Clinical and biochemical footprints of inherited metabolic diseases. IX. Metabolic ear disease. Mol Genet Metab 2022; 137:223-229. [PMID: 36183456 PMCID: PMC10551722 DOI: 10.1016/j.ymgme.2022.09.005] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 09/19/2022] [Accepted: 09/20/2022] [Indexed: 11/23/2022]
Abstract
Damages to the ear are very diverse and can depend on the type of inherited metabolic diseases (IMD). Indeed, IMDs can affect all parts of the auditory system, from the outer ear to the central auditory process. We have identified 219 IMDs associated with various types of ear involvement which we classified into five groups according to the lesion site of the auditory system: congenital external ear abnormalities, acquired external ear abnormalities, middle ear involvement, inner ear or retrocochlear involvement, and unspecified hearing loss. This represents the ninth issue in a series of educational summaries providing a comprehensive and updated list of metabolic differential diagnoses according to system involvement.
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Affiliation(s)
- David Bakhos
- CHRU de Tours, service ORL et Chirurgie Cervico-Faciale, boulevard Tonnellé, 37044 Tours, France; Université de Tours, France INSERM U1253, Tours, France; House Institute Foundation, Los Angeles, USA.
| | - Hélène Blasco
- Université de Tours, France INSERM U1253, Tours, France; CHRU de Tours, service de biochimie, boulevard Tonnellé, 37044 Tours, France.
| | - John J Galvin
- CHRU de Tours, service ORL et Chirurgie Cervico-Faciale, boulevard Tonnellé, 37044 Tours, France; Université de Tours, France INSERM U1253, Tours, France; House Institute Foundation, Los Angeles, USA
| | - Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital, Zürich, Switzerland.
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17
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Angelini C, Burlina A, Blau N, Ferreira CR. Clinical and biochemical footprints of inherited metabolic disorders: X. Metabolic myopathies. Mol Genet Metab 2022; 137:213-222. [PMID: 36155185 PMCID: PMC10507680 DOI: 10.1016/j.ymgme.2022.09.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 09/12/2022] [Accepted: 09/14/2022] [Indexed: 11/16/2022]
Abstract
Metabolic myopathies are characterized by the deficiency or dysfunction of essential metabolites or fuels to generate energy for muscle contraction; they most commonly manifest with neuromuscular symptoms due to impaired muscle development or functioning. We have summarized associations of signs and symptoms in 358 inherited metabolic diseases presenting with myopathies. This represents the tenth of a series of articles attempting to create and maintain a comprehensive list of clinical and metabolic differential diagnoses according to system involvement.
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Affiliation(s)
- Corrado Angelini
- Laboratory for Neuromuscular Diseases, Campus Pietro d'Abano, University of Padova, Padova, Italy.
| | - Alberto Burlina
- Division of Inherited Metabolic Diseases, Reference Center for Expanded Newborn Screening, University Hospital Padova, 35128, Padua, Italy.
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital, Zürich, Switzerland.
| | - Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
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18
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Jerves T, Blau N, Ferreira CR. Clinical and biochemical footprints of inherited metabolic diseases. VIII. Neoplasias. Mol Genet Metab 2022; 136:118-124. [PMID: 35422340 PMCID: PMC9189061 DOI: 10.1016/j.ymgme.2022.03.011] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/23/2022] [Accepted: 03/24/2022] [Indexed: 12/21/2022]
Abstract
Cancer, caused by multiple cumulative pathogenic variants in tumor suppressor genes and proto-oncogenes, is a leading cause of mortality worldwide. The uncontrolled and rapid cell growth of the tumors requires a reprogramming of the complex cellular metabolic network to favor anabolism. Adequate management and treatment of certain inherited metabolic diseases might prevent the development of certain neoplasias, such as hepatocellular carcinoma in tyrosinemia type 1 or hepatocellular adenomas in glycogen storage disorder type 1a. We reviewed and updated the list of known metabolic etiologies associated with various types of benign and malignant neoplasias, finding 64 relevant inborn errors of metabolism. This is the eighth article of the series attempting to create a comprehensive list of clinical and metabolic differential diagnosis by system involvement.
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Affiliation(s)
- Teodoro Jerves
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital, Zürich, Switzerland.
| | - Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
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19
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Garanto A, Ferreira CR, Boon CJF, van Karnebeek CDM, Blau N. Clinical and biochemical footprints of inherited metabolic disorders. VII. Ocular phenotypes. Mol Genet Metab 2022; 135:311-319. [PMID: 35227579 PMCID: PMC10518078 DOI: 10.1016/j.ymgme.2022.02.002] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 01/19/2022] [Accepted: 02/11/2022] [Indexed: 12/11/2022]
Abstract
Ocular manifestations are observed in approximately one third of all inherited metabolic disorders (IMDs). Although ocular involvement is not life-threatening, it can result in severe vision loss, thereby leading to an additional burden for the patient. Retinal degeneration with or without optic atrophy is the most frequent phenotype, followed by oculomotor problems, involvement of the cornea and lens, and refractive errors. These phenotypes can provide valuable clues that contribute to its diagnosis. In this issue we found 577 relevant IMDs leading to ophthalmologic manifestations. This article is the seventh of a series attempting to create and maintain a comprehensive list of clinical and metabolic differential diagnoses according to system involvement.
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Affiliation(s)
- Alejandro Garanto
- Department of Pediatrics, Amalia Children's Hospital Radboud Center for Mitochondrial and Metabolic Diseases, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.
| | - Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Camiel J F Boon
- Department of Ophthalmology, Leiden University Medical Center, Leiden, The Netherlands and Amsterdam University Medical Centers, Academic Medical Center, Department of Ophthalmology, University of Amsterdam, Amsterdam, the Netherlands.
| | - Clara D M van Karnebeek
- Department of Pediatrics, Amalia Children's Hospital Radboud Center for Mitochondrial and Metabolic Diseases, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands; Departments of Pediatrics and Human Genetics, Emma Children's Hospital, Amsterdam Reproduction and Development, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital, Zürich, Switzerland.
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20
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Lin C, Li Y, Zhang E, Feillet F, Zhang S, Blau N. Importance of the long non-coding RNA (lncRNA) transcript HULC for the regulation of phenylalanine hydroxylase and treatment of phenylketonuria. Mol Genet Metab 2022; 135:171-178. [PMID: 35101330 DOI: 10.1016/j.ymgme.2022.01.004] [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] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 01/18/2022] [Accepted: 01/18/2022] [Indexed: 12/12/2022]
Abstract
More than 1280 variants in the phenylalanine hydroxylase (PAH) gene are responsible for a broad spectrum of phenylketonuria (PKU) phenotypes. While the genotype-phenotype correlation is reaching 88%, for some inconsistent phenotypes with the same genotype additional factors like tetrahydrobiopterin (BH4), the PAH co-chaperone DNAJC12, phosphorylation of the PAH residues or epigenetic factors may play an important role. Very recently an additional player, the long non-coding RNA (lncRNA) transcript HULC, was described to regulate PAH activity and enhance residual enzyme activity of some PAH variants (e.g., the most common p.R408W) by using HULC mimics. In this review we present an overview of the lncRNA function and in particular the interplay of the HUCL transcript with the PAH and discuss potential applications for the future treatment of some PKU patients.
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Affiliation(s)
- Chunru Lin
- Department of Molecular and Cellular Oncology, Division of Basic Science Research, The University of Texas, MD Anderson Cancer Center, Houston, TX, United States of America
| | - Yajuan Li
- Department of Molecular and Cellular Oncology, Division of Basic Science Research, The University of Texas, MD Anderson Cancer Center, Houston, TX, United States of America
| | - Eric Zhang
- Department of Experimental Therapeutics, The University of Texas, MD Anderson Cancer Center, Houston, TX, United States of America
| | - François Feillet
- INSERM, U1256, NGERE - Nutrition, Genetics, and Environmental Risk Exposure, University of Lorraine, Nancy, France; Pediatric Department Reference Center for Inborn Errors of Metabolism Children University Hospital Nancy, Nancy, France
| | - Shuxing Zhang
- Department of Experimental Therapeutics, The University of Texas, MD Anderson Cancer Center, Houston, TX, United States of America
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital Zürich, Zurich, Switzerland.
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21
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Collaco JM, Raraigh KS, Betz J, Aksit MA, Blau N, Brown J, Dietz HC, MacCarrick G, Nogee LM, Sheridan MB, Vernon HJ, Beaty TH, Louis TA, Cutting GR. Accurate assignment of disease liability to genetic variants using only population data. Genet Med 2021; 24:87-99. [PMID: 34906463 DOI: 10.1016/j.gim.2021.08.012] [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: 04/05/2021] [Revised: 07/23/2021] [Accepted: 08/17/2021] [Indexed: 10/19/2022] Open
Abstract
PURPOSE The growing size of public variant repositories prompted us to test the accuracy of pathogenicity prediction of DNA variants using population data alone. METHODS Under the a priori assumption that the ratio of the prevalence of variants in healthy population vs that in affected populations form 2 distinct distributions (pathogenic and benign), we used a Bayesian method to assign probability to a variant belonging to either distribution. RESULTS The approach, termed Bayesian prevalence ratio (BayPR), accurately parsed 300 of 313 expertly curated CFTR variants: 284 of 296 pathogenic/likely pathogenic variants in 1 distribution and 16 of 17 benign/likely benign variants in another. BayPR produced an area under the receiver operating characteristic curve of 0.99 for 103 functionally confirmed missense CFTR variants, which is equal to or exceeds 10 commonly used algorithms (area under the receiver operating characteristic curve range = 0.54-0.99). Application of BayPR to expertly curated variants in 8 genes associated with 7 Mendelian conditions led to the assignment of a disease-causing probability of ≥80% to 1350 of 1374 (98.3%) pathogenic/likely pathogenic variants and of ≤20% to 22 of 23 (95.7%) benign/likely benign variants. CONCLUSION Irrespective of the variant type or functional effect, the BayPR approach provides probabilities of pathogenicity for DNA variants responsible for Mendelian disorders using only the variant counts in affected and unaffected population samples.
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Affiliation(s)
- Joseph M Collaco
- Eudowood Division of Pediatric Respiratory Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Karen S Raraigh
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Joshua Betz
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
| | - Melis Atalar Aksit
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital Zürich, Zürich, Switzerland
| | - Jordan Brown
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Harry C Dietz
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Howard Hughes Medical Institute, Chevy Chase, MD
| | - Gretchen MacCarrick
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Lawrence M Nogee
- Eudowood Neonatal Pulmonary Division, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Molly B Sheridan
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Hilary J Vernon
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
| | - Thomas A Louis
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
| | - Garry R Cutting
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
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22
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Himmelreich N, Montioli R, Bertoldi M, Carducci C, Leuzzi V, Gemperle C, Berner T, Hyland K, Thöny B, Hoffmann GF, Voltattorni CB, Blau N. Corrigendum to "Aromatic amino acid decarboxylase deficiency: Molecular and metabolic basis and therapeutic outlook" [Mol Genet Metab. 2019 May;127(1):12-22]. Mol Genet Metab 2021; 134:216. [PMID: 34244047 DOI: 10.1016/j.ymgme.2021.06.010] [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: 10/20/2022]
Affiliation(s)
- Nastassja Himmelreich
- Dietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Children's Hospital, Heidelberg, Germany
| | - Riccardo Montioli
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Mariarita Bertoldi
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Carla Carducci
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Vincenzo Leuzzi
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Corinne Gemperle
- Department of Pediatrics, Divisions of Metabolism and of Clinical Chemistry and Biochemistry, University of Zürich, Zürich, Switzerland
| | - Todd Berner
- Global Medical Affairs, PTC Therapeutics, South Plainfield, NJ, USA
| | - Keith Hyland
- Medical Neurogenetics Laboratories, Atlanta, GA, USA
| | - Beat Thöny
- Department of Pediatrics, Divisions of Metabolism and of Clinical Chemistry and Biochemistry, University of Zürich, Zürich, Switzerland
| | - Georg F Hoffmann
- Dietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Children's Hospital, Heidelberg, Germany
| | - Carla B Voltattorni
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
| | - Nenad Blau
- Dietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Children's Hospital, Heidelberg, Germany.
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23
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Ferreira CR, Martinelli D, Blau N. Clinical and biochemical footprints of inherited metabolic diseases. VI. Metabolic dermatoses. Mol Genet Metab 2021; 134:87-95. [PMID: 34304991 PMCID: PMC8578301 DOI: 10.1016/j.ymgme.2021.07.005] [Citation(s) in RCA: 3] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 07/10/2021] [Accepted: 07/13/2021] [Indexed: 12/15/2022]
Abstract
Cutaneous signs and symptoms may facilitate the diagnosis or can help in identifying complications or side effects of overtreatment of inherited metabolic diseases. The principal manifestations can be grouped into vascular lesions, ichthyosis, papular and nodular skin lesions, abnormal pigmentation, photosensitivity, skin laxity, hair shaft involvement, and nail abnormalities. We have summarized associations of these cutaneous signs and symptoms in 252 inherited metabolic diseases. This represents the sixth of a series of articles attempting to create and maintain a comprehensive list of clinical and metabolic differential diagnoses according to system involvement.
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Affiliation(s)
- Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Diego Martinelli
- Division of Metabolism, Department of Pediatric Subspecialties, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital, Zürich, Switzerland.
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24
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Li Y, Tan Z, Zhang Y, Zhang Z, Hu Q, Liang K, Jun Y, Ye Y, Li YC, Li C, Liao L, Xu J, Xing Z, Pan Y, Chatterjee SS, Nguyen TK, Hsiao H, Egranov SD, Putluri N, Coarfa C, Hawke DH, Gunaratne PH, Tsai KL, Han L, Hung MC, Calin GA, Namour F, Guéant JL, Muntau AC, Blau N, Sutton VR, Schiff M, Feillet F, Zhang S, Lin C, Yang L. A noncoding RNA modulator potentiates phenylalanine metabolism in mice. Science 2021; 373:662-673. [PMID: 34353949 PMCID: PMC9714245 DOI: 10.1126/science.aba4991] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [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: 12/09/2019] [Revised: 08/31/2020] [Accepted: 06/25/2021] [Indexed: 12/13/2022]
Abstract
The functional role of long noncoding RNAs (lncRNAs) in inherited metabolic disorders, including phenylketonuria (PKU), is unknown. Here, we demonstrate that the mouse lncRNA Pair and human HULC associate with phenylalanine hydroxylase (PAH). Pair-knockout mice exhibited excessive blood phenylalanine (Phe), musty odor, hypopigmentation, growth retardation, and progressive neurological symptoms including seizures, which faithfully models human PKU. HULC depletion led to reduced PAH enzymatic activities in human induced pluripotent stem cell-differentiated hepatocytes. Mechanistically, HULC modulated the enzymatic activities of PAH by facilitating PAH-substrate and PAH-cofactor interactions. To develop a therapeutic strategy for restoring liver lncRNAs, we designed GalNAc-tagged lncRNA mimics that exhibit liver enrichment. Treatment with GalNAc-HULC mimics reduced excessive Phe in Pair -/- and Pah R408W/R408W mice and improved the Phe tolerance of these mice.
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Affiliation(s)
- Yajuan Li
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Zhi Tan
- Intelligent Molecular Discovery Laboratory, Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA
| | - Yaohua Zhang
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Zhao Zhang
- Department of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, USA
| | - Qingsong Hu
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ke Liang
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yao Jun
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Youqiong Ye
- Department of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, USA
| | - Yi-Chuan Li
- Department of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, USA
| | - Chunlai Li
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Lan Liao
- Genetically Engineered Mouse Core, Advanced Technology Cores, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jianming Xu
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Zhen Xing
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yinghong Pan
- Department of Biochemistry and Biology, University of Houston, Houston, TX 77030, USA
| | - Sujash S Chatterjee
- Department of Biochemistry and Biology, University of Houston, Houston, TX 77030, USA
| | - Tina K Nguyen
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Heidi Hsiao
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sergey D Egranov
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Nagireddy Putluri
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Cristian Coarfa
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - David H Hawke
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Preethi H Gunaratne
- Department of Biochemistry and Biology, University of Houston, Houston, TX 77030, USA
| | - Kuang-Lei Tsai
- Department of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, USA
| | - Leng Han
- Center for Epigenetics and Disease Prevention, Institute of Biosciences and Technology, Texas A&M University, Houston, TX 77030, USA
| | - Mien-Chie Hung
- Graduate Institute of Biomedical Sciences, Research Center for Cancer Biology, and Center for Molecular Medicine, China Medical University, Taichung 404, Taiwan
- Department of Biotechnology, Asia University, Taichung 413, Taiwan
| | - George A Calin
- Department of Translational Molecular Pathology, Division of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Fares Namour
- Department of Molecular Medicine and Reference Center for Inborn Errors of Metabolism, University Hospital of Nancy, Nancy F-54000, France
- INSERM, U1256, NGERE - Nutrition, Genetics, and Environmental Risk Exposure, University of Lorraine, Nancy F-54000, France
| | - Jean-Louis Guéant
- Department of Molecular Medicine and Reference Center for Inborn Errors of Metabolism, University Hospital of Nancy, Nancy F-54000, France
- INSERM, U1256, NGERE - Nutrition, Genetics, and Environmental Risk Exposure, University of Lorraine, Nancy F-54000, France
| | - Ania C Muntau
- University Children's Hospital, University Medical Center Hamburg Eppendorf, Hamburg 20246, Germany
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital Zurich, CH-8032 Zurich, Switzerland
| | - V Reid Sutton
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Manuel Schiff
- Necker Hospital, APHP, Reference Center for Inborn Error of Metabolism and Filière G2M, Pediatrics Department, University of Paris, Paris 75007, France
- Inserm UMR_S1163, Institut Imagine, Paris 75015, France
| | - François Feillet
- INSERM, U1256, NGERE - Nutrition, Genetics, and Environmental Risk Exposure, University of Lorraine, Nancy F-54000, France.
- Pediatric Department Reference Center for Inborn Errors of Metabolism Children University Hospital Nancy, Nancy F-54000, France
| | - Shuxing Zhang
- Intelligent Molecular Discovery Laboratory, Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA.
- The Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Chunru Lin
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
- The Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Liuqing Yang
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
- The Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Center for RNA Interference and Non-Coding RNAs, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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25
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Himmelreich N, Blau N, Thöny B. Molecular and metabolic bases of tetrahydrobiopterin (BH 4) deficiencies. Mol Genet Metab 2021; 133:123-136. [PMID: 33903016 DOI: 10.1016/j.ymgme.2021.04.003] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [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: 03/17/2021] [Revised: 04/09/2021] [Accepted: 04/09/2021] [Indexed: 01/01/2023]
Abstract
Tetrahydrobiopterin (BH4) deficiency is caused by genetic variants in the three genes involved in de novo cofactor biosynthesis, GTP cyclohydrolase I (GTPCH/GCH1), 6-pyruvoyl-tetrahydropterin synthase (PTPS/PTS), sepiapterin reductase (SR/SPR), and the two genes involved in cofactor recycling, carbinolamine-4α-dehydratase (PCD/PCBD1) and dihydropteridine reductase (DHPR/QDPR). Dysfunction in BH4 metabolism leads to reduced cofactor levels and may result in systemic hyperphenylalaninemia and/or neurological sequelae due to secondary deficiency in monoamine neurotransmitters in the central nervous system. More than 1100 patients with BH4 deficiency and 800 different allelic variants distributed throughout the individual genes are tabulated in database of pediatric neurotransmitter disorders PNDdb. Here we provide an update on the molecular-genetic analysis and structural considerations of these variants, including the clinical courses of the genotypes. From a total of 324 alleles, 11 are associated with the autosomal recessive form of GTPCH deficiency presenting with hyperphenylalaninemia (HPA) and neurotransmitter deficiency, 295 GCH1 variant alleles are detected in the dominant form of L-dopa-responsive dystonia (DRD or Segawa disease) while phenotypes of 18 alleles remained undefined. Autosomal recessive variants observed in the PTS (199 variants), PCBD1 (32 variants), and QDPR (141 variants) genes lead to HPA concomitant with central monoamine neurotransmitter deficiency, while SPR deficiency (104 variants) presents without hyperphenylalaninemia. The clinical impact of reported variants is essential for genetic counseling and important for development of precision medicine.
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Affiliation(s)
- Nastassja Himmelreich
- Center for Child and Adolescent Medicine, Dietmar-Hopp Metabolic Center, Division 1, Heidelberg, Germany
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital Zürich, Zürich, Switzerland.
| | - Beat Thöny
- Division of Metabolism and Children's Research Centre, University Children's Hospital Zürich, Zürich, Switzerland.
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26
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Abstract
Phenylketonuria (PKU; also known as phenylalanine hydroxylase (PAH) deficiency) is an autosomal recessive disorder of phenylalanine metabolism, in which especially high phenylalanine concentrations cause brain dysfunction. If untreated, this brain dysfunction results in severe intellectual disability, epilepsy and behavioural problems. The prevalence varies worldwide, with an average of about 1:10,000 newborns. Early diagnosis is based on newborn screening, and if treatment is started early and continued, intelligence is within normal limits with, on average, some suboptimal neurocognitive function. Dietary restriction of phenylalanine has been the mainstay of treatment for over 60 years and has been highly successful, although outcomes are still suboptimal and patients can find the treatment difficult to adhere to. Pharmacological treatments are available, such as tetrahydrobiopterin, which is effective in only a minority of patients (usually those with milder PKU), and pegylated phenylalanine ammonia lyase, which requires daily subcutaneous injections and causes adverse immune responses. Given the drawbacks of these approaches, other treatments are in development, such as mRNA and gene therapy. Even though PAH deficiency is the most common defect of amino acid metabolism in humans, brain dysfunction in individuals with PKU is still not well understood and further research is needed to facilitate development of pathophysiology-driven treatments.
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Affiliation(s)
- Francjan J van Spronsen
- Beatrix Children's Hospital, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands.
| | - Nenad Blau
- University Children's Hospital in Zurich, Zurich, Switzerland
| | - Cary Harding
- Department of Molecular and Medical Genetics and Department of Pediatrics, Oregon Health & Science University, Oregon, USA
| | | | - Nicola Longo
- Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA
| | - Annet M Bosch
- University of Amsterdam, Department of Pediatrics, Division of Metabolic Disorders, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
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27
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Burlina A, Giuliani A, Polo G, Gueraldi D, Gragnaniello V, Cazzorla C, Opladen T, Hoffmann G, Blau N, Burlina AP. Detection of 3-O-methyldopa in dried blood spots for neonatal diagnosis of aromatic L-amino-acid decarboxylase deficiency: The northeastern Italian experience. Mol Genet Metab 2021; 133:56-62. [PMID: 33744095 DOI: 10.1016/j.ymgme.2021.03.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [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: 01/20/2021] [Revised: 03/08/2021] [Accepted: 03/09/2021] [Indexed: 11/23/2022]
Abstract
OBJECTIVE Aromatic L-amino acid decarboxylase (AADC) deficiency is a rare inherited autosomal recessive disorder of biogenic amine metabolism. Diagnosis requires analysis of neurotransmitter metabolites in cerebrospinal fluid, AADC enzyme activity analysis, or molecular analysis of the DDC gene. 3-O-methyldopa (3-OMD) is a key screening biomarker for AADC deficiency. METHODS We describe a rapid method for 3-OMD determination in dried blood spots (DBS) using flow-injection analysis tandem mass spectrometry with NeoBase™ 2 reagents and 13C6-tyrosine as an internal standard, which are routinely used in high-throughput newborn screening. We assessed variability using quality control samples over a range of 3-OMD concentrations. RESULTS Within-day and between-day precision determined with quality control samples demonstrated coefficients of variation <15%. 3-OMD concentrations in 1000 healthy newborns revealed a mean of 1.33 μmol/L (SD ± 0.56, range 0.61-3.05 μmol/L), 100 non-AADC control subjects (age 7 days - 1 year) showed a mean of 1.19 μmol/L (SD ± 0.35-2.00 μmol/L), and 81 patients receiving oral L-Dopa had a mean 3-OMD concentration of 14.90 μmol/L (SD ± 14.18, range 0.4-80.3 μmol/L). A patient with confirmed AADC was retrospectively analyzed and correctly identified (3-OMD 10.51 μmol/L). In April 2020, we started a pilot project for identifying AADC deficiency in DBSs routinely submitted to the expanded newborn screening program. 3-OMD concentrations were measured in 21,867 samples; no patients with AADC deficiency were identified. One newborn had a high 3-OMD concentration due to maternal L-Dopa treatment. DISCUSSION We demonstrated a rapid new method to identify AADC deficiency using reagents and equipment already widely used in newborn screening programs. Although our study is limited, introduction of our method in expanded neonatal screening is feasible and could facilitate deployment of screening, allowing for early diagnosis that is important for effective treatment.
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Affiliation(s)
- Alberto Burlina
- Division of Inherited Metabolic Diseases, Department of Diagnostic Services, University Hospital, Padua, Italy.
| | - Antonella Giuliani
- Division of Inherited Metabolic Diseases, Department of Diagnostic Services, University Hospital, Padua, Italy
| | - Giulia Polo
- Division of Inherited Metabolic Diseases, Department of Diagnostic Services, University Hospital, Padua, Italy
| | - Daniela Gueraldi
- Division of Inherited Metabolic Diseases, Department of Diagnostic Services, University Hospital, Padua, Italy
| | - Vincenza Gragnaniello
- Division of Inherited Metabolic Diseases, Department of Diagnostic Services, University Hospital, Padua, Italy
| | - Chiara Cazzorla
- Division of Inherited Metabolic Diseases, Department of Diagnostic Services, University Hospital, Padua, Italy
| | - Thomas Opladen
- Department of Pediatrics, University of Heidelberg, Germany
| | - Georg Hoffmann
- Department of Pediatrics, University of Heidelberg, Germany
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital, Zürich, Switzerland
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28
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Ferreira CR, Blau N. Clinical and biochemical footprints of inherited metabolic diseases. IV. Metabolic cardiovascular disease. Mol Genet Metab 2021; 132:112-118. [PMID: 33388235 PMCID: PMC7867625 DOI: 10.1016/j.ymgme.2020.12.290] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 12/16/2020] [Accepted: 12/16/2020] [Indexed: 12/12/2022]
Abstract
Inherited metabolic diseases account for 15-20% of all cases of pediatric cardiomyopathy, with a high mortality of 15-47%. Metabolic diseases can also commonly be associated with other types of cardiovascular involvement such as arrhythmias, valvulopathy or vasculopathy. We reviewed and updated the list of known metabolic etiologies associated with cardiovascular involvement, and found 246 relevant inborn errors of metabolism. This represents the fourth of a series of articles attempting to create and maintain a comprehensive list of clinical and metabolic differential diagnoses according to system involvement.
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Affiliation(s)
- Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital, Zürich, Switzerland.
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Manti F, Nardecchia F, Banderali G, Burlina A, Carducci C, Carducci C, Donati MA, Gueraldi D, Paci S, Pochiero F, Porta F, Ortolano R, Rovelli V, Schiaffino MC, Spada M, Blau N, Leuzzi V. Long-term clinical outcome of 6-pyruvoyl-tetrahydropterin synthase-deficient patients. Mol Genet Metab 2020; 131:155-162. [PMID: 32651154 DOI: 10.1016/j.ymgme.2020.06.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [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: 06/01/2020] [Revised: 06/17/2020] [Accepted: 06/18/2020] [Indexed: 12/14/2022]
Abstract
INTRODUCTION 6-Pyruvoyl-tetrahydropterin synthase deficiency (PTPSd) is a rare autosomal recessive disorder of synthesis of biogenic amines, which is characterized by variable neurological impairment and hyperphenylalaninemia. We aimed to assess the long-term clinical outcome of this disorder and the factors affecting it. METHODS At total of 28 PTPSd patients (aged 19.9 ± 10.9 years) underwent clinical (neurological and psychiatric) and neuropsychological assessment (BRIEF, VABS-II, and IQ). Based on CSF homovanillic (HVA) and 5-hydroxyindolacetic acid (5-HIAA) and pterin concentrations at diagnosis, patients were classified as having either a severe [SF; low level of CSF, HVA, and 5-HIAA with altered neopterin/biopterin (Neo/Bio)] or mild form (MF; normal HVA and 5-HIAA with altered Neo/Bio) of PTPSd. RESULTS Approximately 36% of patients had MF PTPSd. At the last examination, 43% of patients had movement disorders (2 MF, 10 SF), 43% of patients had variable degrees of intellectual disability (SF only), 39% met the criteria for a psychiatric disorder (3 MF, 9 SF). Applying a linear regression model, we found that HVA and phenylalanine levels at birth had a significant influence on IQ, BRIEF, and VABS-II variability. Lastly, 5-HIAA further contributed to VABS-II variability. The disease showed a self-limiting clinical course and its treatment, although delayed, is effective in improving the neurological status. CONCLUSIONS Neurodevelopmental impairment due to PTPSd shows a self-limiting course. A continuous improvement in the neurological condition has been observed in patients receiving treatment, even when delayed. The severity of brain biogenic amine depletion at diagnosis predicts neurological and psychiatric outcomes.
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Affiliation(s)
- Filippo Manti
- Department of Human Neuroscience, Unit of Child Neurology and Psychiatry, Sapienza University, Rome, Italy
| | - Francesca Nardecchia
- Department of Human Neuroscience, Unit of Child Neurology and Psychiatry, Sapienza University, Rome, Italy
| | - Giuseppe Banderali
- Department of Pediatrics, University of Milan, San Paolo Hospital, Santi Paolo e Carlo ASST, Milan, Italy
| | - Alberto Burlina
- Division of Inherited Metabolic Diseases, Department of Paediatrics, University Hospital of Padova, Padova, Italy
| | - Carla Carducci
- Department of Experimental Medicine, Sapienza University of Rome, Italy
| | - Claudia Carducci
- Department of Experimental Medicine, Sapienza University of Rome, Italy
| | | | - Daniela Gueraldi
- Division of Inherited Metabolic Diseases, Department of Paediatrics, University Hospital of Padova, Padova, Italy
| | - Sabrina Paci
- Department of Pediatrics, University of Milan, San Paolo Hospital, Santi Paolo e Carlo ASST, Milan, Italy
| | | | - Francesco Porta
- Department of Pediatrics, AOU Città della Salute e della Scienza di Torino, University of Torino, Italy
| | - Rita Ortolano
- Department of Medical and Surgical Sciences, Pediatric Unit, Regional Centre for Expanded Newborn Screening, S. Orsola-Malpighi University Hospital, Bologna, Italy
| | - Valentina Rovelli
- Department of Pediatrics, University of Milan, San Paolo Hospital, Santi Paolo e Carlo ASST, Milan, Italy
| | | | - Marco Spada
- Department of Pediatrics, AOU Città della Salute e della Scienza di Torino, University of Torino, Italy
| | - Nenad Blau
- Division of Metabolism, University Children's Hospital Zürich, Switzerland
| | - Vincenzo Leuzzi
- Department of Human Neuroscience, Unit of Child Neurology and Psychiatry, Sapienza University, Rome, Italy.
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Carducci C, Amayreh W, Ababneh H, Mahasneh A, Al Rababah B, Al Qaqa K, Al Aqeel M, Artiola C, Tolve M, D'Amici S, Shen N, Yu Y, Hillert A, Himmelreich N, Okun JG, Hoffmann GF, Blau N. Molecular genetics of phenylketonuria and tetrahydrobiopterin deficiency in Jordan. JIMD Rep 2020; 55:59-67. [PMID: 32905092 PMCID: PMC7463056 DOI: 10.1002/jmd2.12130] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 04/27/2020] [Accepted: 05/04/2020] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Information regarding the prevalence of PKU in the Middle East in comparison to other world regions is scarce, which might be explained by difficulties in the implementation of national newborn screening programs. OBJECTIVE This study seeks for the first time to genotype and biochemically characterize patients diagnosed with hyperphenylalaninemia (HPA) at the Pediatric Metabolic Genetics Clinic at the King Hussein Medical Center, Amman, Jordan. METHODS A total of 33 patients with HPA and 55 family members were investigated for pterins (neopterin and biopterin) and dihydropteridine reductase (DHPR) activity in dried blood spots. Patients with HPA were genotyped for phenylketonuria (PKU) and the genes involved in tetrahydrobiopterin (BH4) metabolism. RESULTS In total 20 patients were diagnosed with PKU due to phenylalanine hydroxylase (PAH) deficiency, 2 with GTP cyclohydrolase I (GTPCH) deficiency, 6 with DHPR deficiency, and 3 with the 6-pyruvoyl-tetrahydropterin synthase (PTPS) deficiency. Diagnosis was not possible in 2 patients. This study documents a high percentage of BH4 deficiencies within HPA patients. With one exception, all patients were homozygous for particular gene variants. CONCLUSIONS This approach enables differentiation between PKU and BH4 deficiencies and, thus, allows for critical selection of a specific treatment strategies.
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Affiliation(s)
- Carla Carducci
- Department of Experimental MedicineUniversity of Rome “La Sapienza”RomeItaly
| | - Wajdi Amayreh
- Queen Rania Children Hospital, King Hussein Medical CentreAmmanJordan
- Princess Haya Biotechnology CentreJordan University of Science and TechnologyIrbidJordan
| | - Haneen Ababneh
- Princess Haya Biotechnology CentreJordan University of Science and TechnologyIrbidJordan
- Department of Biotechnology and Genetic EngineeringJordan University of Science and TechnologyIrbidJordan
| | - Amjad Mahasneh
- Princess Haya Biotechnology CentreJordan University of Science and TechnologyIrbidJordan
- Department of Biotechnology and Genetic EngineeringJordan University of Science and TechnologyIrbidJordan
| | - Buthaina Al Rababah
- Princess Haya Biotechnology CentreJordan University of Science and TechnologyIrbidJordan
| | - Kefah Al Qaqa
- Queen Rania Children Hospital, King Hussein Medical CentreAmmanJordan
| | - Momen Al Aqeel
- Queen Rania Children Hospital, King Hussein Medical CentreAmmanJordan
| | - Cristiana Artiola
- Department of Experimental MedicineUniversity of Rome “La Sapienza”RomeItaly
| | - Manuela Tolve
- Department of Experimental MedicineUniversity of Rome “La Sapienza”RomeItaly
| | - Sirio D'Amici
- Department of Experimental MedicineUniversity of Rome “La Sapienza”RomeItaly
| | - Nan Shen
- Department of Rehabilitation MedicineXin Hua Hospital affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yongguo Yu
- Department of Pediatric Endocrinology and Genetic MetabolismShanghai Institute for Pediatric Research, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong UniversityShanghaiChina
| | - Alicia Hillert
- Dietmar Hopp Metabolic Center and Centre for Pediatrics and Adolescent MedicineUniversity Hospital HeidelbergHeidelbergGermany
| | - Nastassja Himmelreich
- Dietmar Hopp Metabolic Center and Centre for Pediatrics and Adolescent MedicineUniversity Hospital HeidelbergHeidelbergGermany
| | - Jürgen G. Okun
- Dietmar Hopp Metabolic Center and Centre for Pediatrics and Adolescent MedicineUniversity Hospital HeidelbergHeidelbergGermany
| | - Georg F. Hoffmann
- Dietmar Hopp Metabolic Center and Centre for Pediatrics and Adolescent MedicineUniversity Hospital HeidelbergHeidelbergGermany
| | - Nenad Blau
- Dietmar Hopp Metabolic Center and Centre for Pediatrics and Adolescent MedicineUniversity Hospital HeidelbergHeidelbergGermany
- Division of MetabolismUniversity Children's HospitalZürichSwitzerland
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Hillert A, Anikster Y, Belanger-Quintana A, Burlina A, Burton BK, Carducci C, Chiesa AE, Christodoulou J, Đorđević M, Desviat LR, Eliyahu A, Evers RAF, Fajkusova L, Feillet F, Bonfim-Freitas PE, Giżewska M, Gundorova P, Karall D, Kneller K, Kutsev SI, Leuzzi V, Levy HL, Lichter-Konecki U, Muntau AC, Namour F, Oltarzewski M, Paras A, Perez B, Polak E, Polyakov AV, Porta F, Rohrbach M, Scholl-Bürgi S, Spécola N, Stojiljković M, Shen N, Santana-da Silva LC, Skouma A, van Spronsen F, Stoppioni V, Thöny B, Trefz FK, Vockley J, Yu Y, Zschocke J, Hoffmann GF, Garbade SF, Blau N. The Genetic Landscape and Epidemiology of Phenylketonuria. Am J Hum Genet 2020; 107:234-250. [PMID: 32668217 PMCID: PMC7413859 DOI: 10.1016/j.ajhg.2020.06.006] [Citation(s) in RCA: 121] [Impact Index Per Article: 30.3] [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: 04/25/2020] [Accepted: 06/05/2020] [Indexed: 11/22/2022] Open
Abstract
Phenylketonuria (PKU), caused by variants in the phenylalanine hydroxylase (PAH) gene, is the most common autosomal-recessive Mendelian phenotype of amino acid metabolism. We estimated that globally 0.45 million individuals have PKU, with global prevalence 1:23,930 live births (range 1:4,500 [Italy]-1:125,000 [Japan]). Comparing genotypes and metabolic phenotypes from 16,092 affected subjects revealed differences in disease severity in 51 countries from 17 world regions, with the global phenotype distribution of 62% classic PKU, 22% mild PKU, and 16% mild hyperphenylalaninemia. A gradient in genotype and phenotype distribution exists across Europe, from classic PKU in the east to mild PKU in the southwest and mild hyperphenylalaninemia in the south. The c.1241A>G (p.Tyr414Cys)-associated genotype can be traced from Northern to Western Europe, from Sweden via Norway, to Denmark, to the Netherlands. The frequency of classic PKU increases from Europe (56%) via Middle East (71%) to Australia (80%). Of 758 PAH variants, c.1222C>T (p.Arg408Trp) (22.2%), c.1066-11G>A (IVS10-11G>A) (6.4%), and c.782G>A (p.Arg261Gln) (5.5%) were most common and responsible for two prevalent genotypes: p.[Arg408Trp];[Arg408Trp] (11.4%) and c.[1066-11G>A];[1066-11G>A] (2.6%). Most genotypes (73%) were compound heterozygous, 27% were homozygous, and 55% of 3,659 different genotypes occurred in only a single individual. PAH variants were scored using an allelic phenotype value and correlated with pre-treatment blood phenylalanine concentrations (n = 6,115) and tetrahydrobiopterin loading test results (n = 4,381), enabling prediction of both a genotype-based phenotype (88%) and tetrahydrobiopterin responsiveness (83%). This study shows that large genotype databases enable accurate phenotype prediction, allowing appropriate targeting of therapies to optimize clinical outcome.
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Affiliation(s)
- Alicia Hillert
- Division of Child Neurology and Metabolic Medicine, Centre for Child and Adolescent Medicine, Clinic I, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Yair Anikster
- Metabolic Disease Unit, Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Tel-Aviv University, 52621 Tel-Aviv, Israel
| | - Amaya Belanger-Quintana
- Unidad de Enfermedades Metabolicas, Servicio de Pediatria, Hospital Ramon y Cajal, 28034 Madrid, Spain
| | - Alberto Burlina
- Division of Inherited Metabolic Diseases, Department of Woman's and Child's Health, University Hospital, 35129 Padua, Italy
| | - Barbara K Burton
- Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL 60611, USA
| | - Carla Carducci
- Department of Experimental Medicine, Sapienza University of Rome, 00185 Rome, Italy
| | - Ana E Chiesa
- Fundación de Endocrinología Infantil (FEI), C1425 Buenos Aires, Argentina
| | - John Christodoulou
- Murdoch Children's Research Institute and Department of Pediatrics, University of Melbourne, Melbourne, VIC 3052, Australia
| | - Maja Đorđević
- Institute of Mother and Child Healthcare "Dr. Vukan Čupić," 11000 Belgrade, Serbia
| | - Lourdes R Desviat
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular CSIC-UAM, Universidad Autónoma de Madrid. CIBERER, IdiPAz, 28049 Madrid, Spain
| | - Aviva Eliyahu
- Metabolic Disease Unit, Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Tel-Aviv University, 52621 Tel-Aviv, Israel
| | - Roeland A F Evers
- University of Groningen, University Medical Center Groningen, Beatrix Children's Hospital, Section of Metabolic Diseases, 9712 CP Groningen, the Netherlands
| | - Lena Fajkusova
- Centre of Molecular Biology and Gene Therapy, University Hospital Brno, 62500 Brno, Czech Republic
| | - François Feillet
- Reference Center for Inherited Metabolic Diseases, University Hospital of Nancy, 54511 Vandoeuvre-lès-Nancy, France
| | - Pedro E Bonfim-Freitas
- Laboratory of Inborn Errors of Metabolism, Institute of Biological Sciences, Federal University of Pará, Belém 66075-110, Brazil
| | - Maria Giżewska
- Department of Pediatrics, Endocrinology, Diabetology, Metabolic Diseases and Cardiology, Pomeranian Medical University, 71-252 Szczecin, Poland
| | | | - Daniela Karall
- Clinic of Pediatrics, Division of Inherited Metabolic Disorders, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Katya Kneller
- Metabolic Disease Unit, Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Tel-Aviv University, 52621 Tel-Aviv, Israel
| | | | - Vincenzo Leuzzi
- Department of Human Neuroscience, Sapienza University of Rome, 00185 Rome, Italy
| | - Harvey L Levy
- Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | | | - Ania C Muntau
- University Children's Hospital, University Medical Center Hamburg Eppendorf, 20246 Hamburg, Germany
| | - Fares Namour
- Reference Center for Inherited Metabolic Diseases, University Hospital of Nancy, 54511 Vandoeuvre-lès-Nancy, France
| | - Mariusz Oltarzewski
- Department of Screening and Metabolic Diagnostics, Institute of Mother and Child, 01-211 Warsaw, Poland
| | - Andrea Paras
- Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL 60611, USA
| | - Belen Perez
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular CSIC-UAM, Universidad Autónoma de Madrid. CIBERER, IdiPAz, 28049 Madrid, Spain
| | - Emil Polak
- Comenius University, Faculty of Natural Sciences, Department of Molecular Biology, 84215 Bratislava 4, Slovak Republic
| | | | - Francesco Porta
- Department of Pediatrics, AOU Citta' della Salute e della Scienza di Torino, 10126 Torino, Italy
| | - Marianne Rohrbach
- Division of Metabolism, University Children's Hospital, 8032 Zürich, Switzerland
| | - Sabine Scholl-Bürgi
- Clinic of Pediatrics, Division of Inherited Metabolic Disorders, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Norma Spécola
- Unidad de Metabolismo. Hospital de Niños "Sor Ludovica" de La Plata, 1904 Buenos Aires, Argentina
| | - Maja Stojiljković
- Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, 11000 Belgrade, Serbia
| | - Nan Shen
- Department of Infectious Diseases, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 2000025 Shanghai, China
| | - Luiz C Santana-da Silva
- Laboratory of Inborn Errors of Metabolism, Institute of Biological Sciences, Federal University of Pará, Belém 66075-110, Brazil
| | | | - Francjan van Spronsen
- University of Groningen, University Medical Center Groningen, Beatrix Children's Hospital, Section of Metabolic Diseases, 9712 CP Groningen, the Netherlands
| | - Vera Stoppioni
- Centro Screening Neonatale Regione Marche, Azienda Ospedaliera Ospedali Riuniti Marche Nord, 61032 Fano, Italy
| | - Beat Thöny
- Division of Metabolism, University Children's Hospital, 8032 Zürich, Switzerland
| | - Friedrich K Trefz
- Division of Child Neurology and Metabolic Medicine, Centre for Child and Adolescent Medicine, Clinic I, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Jerry Vockley
- UPMC, Children's Hospital of Pittsburgh, Pittsburgh, PA 15224, USA
| | - Youngguo Yu
- Department of Pediatric Endocrinology/Genetics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Institute for Pediatric Research, 2000025 Shanghai, China
| | - Johannes Zschocke
- Institute of Human Genetics, Medical University Innsbruck, 6020 Innsbruck, Austria
| | - Georg F Hoffmann
- Division of Child Neurology and Metabolic Medicine, Centre for Child and Adolescent Medicine, Clinic I, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Sven F Garbade
- Division of Child Neurology and Metabolic Medicine, Centre for Child and Adolescent Medicine, Clinic I, University Hospital Heidelberg, 69120 Heidelberg, Germany.
| | - Nenad Blau
- Division of Child Neurology and Metabolic Medicine, Centre for Child and Adolescent Medicine, Clinic I, University Hospital Heidelberg, 69120 Heidelberg, Germany; Division of Metabolism, University Children's Hospital, 8032 Zürich, Switzerland.
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Klinke G, Richter S, Monostori P, Schmidt-Mader B, García-Cazorla A, Artuch R, Christ S, Opladen T, Hoffmann GF, Blau N, Okun JG. Targeted cerebrospinal fluid analysis for inborn errors of metabolism on an LC-MS/MS analysis platform. J Inherit Metab Dis 2020; 43:712-725. [PMID: 31930732 DOI: 10.1002/jimd.12213] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [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: 11/13/2019] [Revised: 12/20/2019] [Accepted: 01/10/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND Laboratory investigations of cerebrospinal fluid (CSF) are essential when suspecting an inborn error of metabolism (IEM) involving neurological features. Available tests are currently performed on different analytical platforms, requiring a large sample volume and long turnaround time, which often delays timely diagnosis. Therefore, it would be preferable to have an "one-instrument" targeted multi-metabolite approach. METHOD A liquid chromatography-tandem mass spectrometry (LC-MS/MS) platform, based on two different methods for analysing 38 metabolites using positive and negative electrospray ionisation modes, was established. To allow for platform extension, both methods were designed to use the same CSF sample preparation procedure and to be run on the same separation column (ACE C18-PFP). RESULTS Assessment of the LC-MS/MS platform methods was first made by analytical validation, followed by the establishment of literature-based CSF cut-off values and reference ranges, and by the measurement of available samples obtained from patients with confirmed diagnoses of aromatic l-amino acid decarboxylase deficiency, guanidinoacetate methyltransferase deficiency, ornithine aminotransferase deficiency, cerebral folate deficiency and methylenetetrahydrofolate reductase deficiency. CONCLUSION An extendable targeted LC-MS/MS platform was developed for the analysis of multiple metabolites in CSF, thereby distinguishing samples from patients with IEM from non-IEM samples. Reference concentrations for several biomarkers in CSF are provided for the first time. By measurement on a single analytical platform, less sample volume is required (200 μL), diagnostic results are obtained faster, and preanalytical issues are reduced. SYNOPSIS LC-MS/MS platform for CSF analysis consisting of two differentially designed methods.
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Affiliation(s)
- Glynis Klinke
- Department of General Pediatrics, Division of Neuropediatrics and Metabolic Medicine, Centre for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Sylvia Richter
- Department of General Pediatrics, Division of Neuropediatrics and Metabolic Medicine, Centre for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Péter Monostori
- Department of General Pediatrics, Division of Neuropediatrics and Metabolic Medicine, Centre for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Brigitte Schmidt-Mader
- Department of General Pediatrics, Division of Neuropediatrics and Metabolic Medicine, Centre for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Angels García-Cazorla
- Department of Clinical Biochemistry and Pediatric Neurology, Institut de Recerca Sant Joan de Déu, Center for Biomedical Research on Rare Diseases (CIBERER), Barcelona, Spain
| | - Rafael Artuch
- Department of Clinical Biochemistry and Pediatric Neurology, Institut de Recerca Sant Joan de Déu, Center for Biomedical Research on Rare Diseases (CIBERER), Barcelona, Spain
| | - Stine Christ
- Department of General Pediatrics, Division of Neuropediatrics and Metabolic Medicine, Centre for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Thomas Opladen
- Department of General Pediatrics, Division of Neuropediatrics and Metabolic Medicine, Centre for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Georg F Hoffmann
- Department of General Pediatrics, Division of Neuropediatrics and Metabolic Medicine, Centre for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Nenad Blau
- Department of General Pediatrics, Division of Neuropediatrics and Metabolic Medicine, Centre for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Jürgen G Okun
- Department of General Pediatrics, Division of Neuropediatrics and Metabolic Medicine, Centre for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany
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Horvath GA, Stowe RM, Ferreira CR, Blau N. Clinical and biochemical footprints of inherited metabolic diseases. III. Psychiatric presentations. Mol Genet Metab 2020; 130:1-6. [PMID: 32122747 DOI: 10.1016/j.ymgme.2020.02.007] [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] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 02/18/2020] [Accepted: 02/19/2020] [Indexed: 01/17/2023]
Abstract
Psychiatric symptoms are common manifestations in many inborn errors of metabolism (IEMs), ranging from attention deficit, anxiety and mood and behavioral disorders to psychosis. Furthermore, IEMs represent a significant percentage of all autism cases. We reviewed and updated the list of metabolic disorders known to be associated with various psychiatric manifestations and found more than 100 relevant IEMs. This represents the third of a series of articles attempting to create and maintain a comprehensive list of clinical and metabolic differential diagnoses according to organ system involvement.
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Affiliation(s)
- Gabriella A Horvath
- Department of Pediatrics, Division of Biochemical Genetics, University of British Columbia, BC Children's Hospital, Vancouver, BC, Canada; Adult Metabolic Diseases Clinic, Vancouver General Hospital, Vancouver, BC, Canada.
| | - Robert M Stowe
- Departments of Psychiatry and Neurology (Medicine) and Neuropsychiatry Program, University of British Columbia, Vancouver, BC, Canada.
| | - Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Nenad Blau
- Dietmar-Hopp Metabolic Center, University Children's Hospital, Heidelberg, Germany; Division of Metabolism, Children's Hospital, Zürich, Switzerland.
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Evers RAF, van Wegberg AMJ, Anjema K, Lubout CMA, van Dam E, van Vliet D, Blau N, van Spronsen FJ. The first European guidelines on phenylketonuria: Usefulness and implications for BH 4 responsiveness testing. J Inherit Metab Dis 2020; 43:244-250. [PMID: 31503351 DOI: 10.1002/jimd.12173] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [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: 07/04/2019] [Revised: 08/28/2019] [Accepted: 09/09/2019] [Indexed: 01/27/2023]
Abstract
OBJECTIVE This study aimed to investigate and improve the usefulness of the 48-hour BH4 loading test and to assess genotype for BH4 responsiveness prediction, using the new definition of BH4 responsiveness from the European guidelines, as well as an amended definition. METHOD Applying the definition of the European guidelines (≥100% increase in natural protein tolerance) and an amended definition (≥100% increase in natural protein tolerance or tolerating a safe natural protein intake) to a previous dataset, we first assessed the positive predictive value (PPV) of the 48-hour BH4 loading test using a cutoff value of 30%. Then, we tried to improve this PPV by using different cutoff values and separate time points. Last, using the BIOPKU database, we compared predicted BH4 responsiveness (according to genotype) and genotypic phenotype values (GPVs) in BH4 -responsive and BH4 -unresponsive patients. RESULTS The PPV of the 48-hour loading test was 50.0% using the definition of the European guidelines, and 69.4% when applying the amended definition of BH4 responsiveness. Higher cutoff values led to a higher PPV, but resulted in an increase in false-negative tests. Parameters for genotype overlapped between BH4 -responsive and BH4 -unresponsive patients, although BH4 responsiveness was not observed in patients with a GPV below 2.4. CONCLUSION The 48-hour BH4 loading test is not as useful as previously considered and cannot be improved easily, whereas genotype seems mainly helpful in excluding BH4 responsiveness. Overall, the definition of BH4 responsiveness and BH4 responsiveness testing require further attention.
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Affiliation(s)
- Roeland A F Evers
- Beatrix Children's Hospital, Division of Metabolic Diseases, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Annemiek M J van Wegberg
- Beatrix Children's Hospital, Division of Metabolic Diseases, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Karen Anjema
- Beatrix Children's Hospital, Division of Metabolic Diseases, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Charlotte M A Lubout
- Beatrix Children's Hospital, Division of Metabolic Diseases, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Esther van Dam
- Beatrix Children's Hospital, Division of Metabolic Diseases, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Danique van Vliet
- Beatrix Children's Hospital, Division of Metabolic Diseases, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Nenad Blau
- University Children's Hospital Zürich, Zürich, Switzerland
| | - Francjan J van Spronsen
- Beatrix Children's Hospital, Division of Metabolic Diseases, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Lilleväli H, Pajusalu S, Wojcik MH, Goodrich J, Collins RL, Murumets Ü, Tammur P, Blau N, Lilleväli K, Õunap K. Genome sequencing identifies a homozygous inversion disrupting QDPR as a cause for dihydropteridine reductase deficiency. Mol Genet Genomic Med 2020; 8:e1154. [PMID: 32022462 PMCID: PMC7196484 DOI: 10.1002/mgg3.1154] [Citation(s) in RCA: 5] [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: 06/07/2019] [Revised: 01/10/2020] [Accepted: 01/11/2020] [Indexed: 02/06/2023] Open
Abstract
Background Dihydropteridine reductase (DHPR) is one of the key enzymes for maintaining in the organism the supply of tetrahydrobiopterin (BH4), an essential cofactor for aromatic amino acid hydroxylases. Its dysfunction causes the condition of hyperphenylalaninemia together with the lack of neurotransmitters. Methods We report a patient with biochemically diagnosed DHPR deficiency, with extensive molecular investigations undertaken to detect variations in quinoid dihydropteridine reductase (QDPR) gene. Sanger sequencing of QDPR coding regions, exome sequencing, QDPR mRNA PCR, and karyotyping were followed by trio genome sequencing. Results Short‐read genome sequencing revealed a homozygous 9‐Mb inversion disrupting QDPR. Structural variant breakpoints in chromosome 4 were located to intron 2 of QDPR at Chr4(GRCh38):g.17505522 and in intron 8 of the ACOX3 gene, Chr4(GRCh38):g.8398067). Both nonrelated parents carried the variant in heterozygous state. The inversion was not present in gnomAD structural variant database. Conclusion Identification of the exact breakpoints now allows further straightforward molecular genetic testing of potential carriers of the inversion. This study extends the pathogenic variant spectrum of DHPR deficiency and highlights the role of structural variants in recessive metabolic disorders. To our knowledge, this is the first report on a large, canonical (rather than complex) homozygous pathogenic inversion detected by genome sequencing.
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Affiliation(s)
- Hardo Lilleväli
- Department of Clinical Genetics, United LaboratoriesTartu University HospitalTartuEstonia
- Institute of Biomedicine and Translational MedicineUniversity of TartuTartuEstonia
| | - Sander Pajusalu
- Department of Clinical Genetics, United LaboratoriesTartu University HospitalTartuEstonia
- Department of GeneticsYale University School of MedicineNew HavenCTUSA
- Department of Clinical GeneticsInstitute of Clinical MedicineUniversity of TartuTartuEstonia
| | - Monica H. Wojcik
- The Broad Institute of MIT and HarvardCambridgeMAUSA
- Divisions of Genetics and Genomics and Newborn MedicineDepartment of PediatricsChildren’s HospitalBostonMAUSA
| | - Julia Goodrich
- The Broad Institute of MIT and HarvardCambridgeMAUSA
- Divisions of Genetics and Genomics and Newborn MedicineDepartment of PediatricsChildren’s HospitalBostonMAUSA
| | - Ryan L. Collins
- The Broad Institute of MIT and HarvardCambridgeMAUSA
- Program in Bioinformatics and Integrative GenomicsDivision of Medical SciencesHarvard Medical SchoolBostonMAUSA
| | - Ülle Murumets
- Department of Clinical Genetics, United LaboratoriesTartu University HospitalTartuEstonia
| | - Pille Tammur
- Department of Clinical Genetics, United LaboratoriesTartu University HospitalTartuEstonia
| | - Nenad Blau
- Dietmar‐Hopp Metabolic CenterUniversity of HeidelbergHeidelbergGermany
- Division of MetabolismUniversity Children’s HospitalZürichSwitzerland
| | - Kersti Lilleväli
- Institute of Biomedicine and Translational MedicineUniversity of TartuTartuEstonia
| | - Katrin Õunap
- Department of Clinical Genetics, United LaboratoriesTartu University HospitalTartuEstonia
- Department of Clinical GeneticsInstitute of Clinical MedicineUniversity of TartuTartuEstonia
- The Broad Institute of MIT and HarvardCambridgeMAUSA
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Milardović S, Grabarić Z, Rumenjak V, Blau N, Milošević D. Use of a Ruthenium(III), Iron(II), and Nickel(II) Hexacyanometallate-Modified Graphite Electrode with Immobilized Oxalate Oxidase for the Determination of Urinary Oxalate. J AOAC Int 2019. [DOI: 10.1093/jaoac/84.6.1927] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Abstract
This paper describes the performance of a biosensor with an Ru(III), Ni(II), and Fe(II) hexacyanometallate-modified graphite electrode and immobilized oxalate oxidase for the determination of urinary oxalate. The addition of ruthenium enhances the electrochemical reversibility and chemical stability of the electrocrystallized layer and improves the sensitivity of the biosensor. Hydrogen peroxide, produced by the enzyme-catalyzed oxidation of oxalate, was measured at −50 mV vs an Hg|Hg2Cl2|3M KCl electrode in a solution of pH 3.6 succinic buffer, 0.1M KCl, and 5.4mM ethylenediaminetetraacetic acid. The linear concentration range for the determination of oxalate was 0.18–280 μM. The recoveries of added oxalate (10–35 μM) from aqueous solution ranged from 99.5 to 101.7%, whereas from urine samples without oxalate (or with a concentration of oxalate below the detection limit) the recoveries of added oxalate ranged from 91.4 to 106.6%. The oxalate in 24 h urine samples, taken during their daily routine from 35 infants and children, was measured and found to range from 0.6 to 121.7 mg/L. There were no interferences from uric acid, acetylsalicylic acid, and urea in the concentration range investigated, but paracetamol and ascorbic acid did interfere. A good correlation (R2 = 0.9242) was found between values obtained for oxalate in real urine samples by 2 laboratories, with the proposed biosensor and ion chromatography, respectively.
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Affiliation(s)
- Stjepan Milardović
- University of Zagreb, Faculty of Chemical Engineering and Technology, Marulićev trg 19, HR-10000 Zagreb, Croatia
| | - Zorana Grabarić
- University of Zagreb, Faculty of Chemical Engineering and Technology, Marulićev trg 19, HR-10000 Zagreb, Croatia
| | - Vlatko Rumenjak
- University of Zagreb, Clinical Institute of Laboratory Diagnosis, School of Medicine and Clinical Hospital Center, HR-10000 Zagreb, Croatia
| | - Nenad Blau
- University of Zürich, Childrens’ Hospital, Division of Clinical Chemistry and Biochemistry, CH-8032 Zürich, Switzerland
| | - Dražen Milošević
- University of Zagreb, Faculty of Medicine, Childrens’ Hospital Šalata, HR-10000 Zagreb, Croatia
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Zastrow DB, Baudet H, Shen W, Thomas A, Si Y, Weaver MA, Lager AM, Liu J, Mangels R, Dwight SS, Wright MW, Dobrowolski SF, Eilbeck K, Enns GM, Feigenbaum A, Lichter-Konecki U, Lyon E, Pasquali M, Watson M, Blau N, Steiner RD, Craigen WJ, Mao R. Unique aspects of sequence variant interpretation for inborn errors of metabolism (IEM): The ClinGen IEM Working Group and the Phenylalanine Hydroxylase Gene. Hum Mutat 2019; 39:1569-1580. [PMID: 30311390 DOI: 10.1002/humu.23649] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [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: 05/04/2018] [Revised: 08/28/2018] [Accepted: 09/06/2018] [Indexed: 11/09/2022]
Abstract
The ClinGen Inborn Errors of Metabolism Working Group was tasked with creating a comprehensive, standardized knowledge base of genes and variants for metabolic diseases. Phenylalanine hydroxylase (PAH) deficiency was chosen to pilot development of the Working Group's standards and guidelines. A PAH variant curation expert panel (VCEP) was created to facilitate this process. Following ACMG-AMP variant interpretation guidelines, we present the development of these standards in the context of PAH variant curation and interpretation. Existing ACMG-AMP rules were adjusted based on disease (6) or strength (5) or both (2). Disease adjustments include allele frequency thresholds, functional assay thresholds, and phenotype-specific guidelines. Our validation of PAH-specific variant interpretation guidelines is presented using 85 variants. The PAH VCEP interpretations were concordant with existing interpretations in ClinVar for 69 variants (81%). Development of biocurator tools and standards are also described. Using the PAH-specific ACMG-AMP guidelines, 714 PAH variants have been curated and will be submitted to ClinVar. We also discuss strategies and challenges in applying ACMG-AMP guidelines to autosomal recessive metabolic disease, and the curation of variants in these genes.
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Affiliation(s)
- Diane B Zastrow
- Palo Alto Medical Foundation, Palo Alto, California.,Stanford University, Stanford, California
| | - Heather Baudet
- University of North Carolina, Chapel Hill, North Carolina
| | - Wei Shen
- ARUP Laboratories, Salt Lake City, Utah.,University of Utah, Salt Lake City, Utah
| | - Amanda Thomas
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York
| | - Yue Si
- GeneDx, Gaithersburg, Maryland
| | - Meredith A Weaver
- American College of Medical Genetics and Genomics, Bethesda, Maryland
| | - Angela M Lager
- Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, Illinois
| | - Jixia Liu
- Marshfield Clinic Research Institute, Marshfield, Wisconsin
| | | | | | | | | | | | | | - Annette Feigenbaum
- Rady Children's Hospital and University of California, San Diego, California
| | - Uta Lichter-Konecki
- Children's Hospital of Pittsburg of UPMC, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Elaine Lyon
- ARUP Laboratories, Salt Lake City, Utah.,University of Utah, Salt Lake City, Utah
| | - Marzia Pasquali
- ARUP Laboratories, Salt Lake City, Utah.,University of Utah, Salt Lake City, Utah
| | - Michael Watson
- American College of Medical Genetics and Genomics, Bethesda, Maryland
| | - Nenad Blau
- Dietmar-Hopp Metabolic Center, University Children's Hospital, Department of General Pediatrics, Heidelberg, Germany
| | - Robert D Steiner
- Marshfield Clinic Research Institute, Marshfield, Wisconsin.,University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | | | - Rong Mao
- ARUP Laboratories, Salt Lake City, Utah.,University of Utah, Salt Lake City, Utah
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Smith N, Longo N, Levert K, Hyland K, Blau N. Exploratory study of the effect of one week of orally administered CNSA-001 (sepiapterin) on CNS levels of tetrahydrobiopterin, dihydrobiopterin and monoamine neurotransmitter metabolites in healthy volunteers. Mol Genet Metab Rep 2019; 21:100500. [PMID: 31453106 PMCID: PMC6700519 DOI: 10.1016/j.ymgmr.2019.100500] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [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: 06/22/2019] [Accepted: 08/02/2019] [Indexed: 12/01/2022] Open
Abstract
Tetrahydrobiopterin (BH4) is a cofactor for the enzymes tyrosine hydroxylase and tryptophan hydroxylase, the rate-limiting enzymes in the production of the neurotransmitters, dopamine and serotonin, respectively, in the central nervous system (CNS). Administration of BH4 is used clinically within the management of persons with genetic BH4 deficiencies, but the BH4 molecule does not cross the blood-brain barrier sufficiently. CNSA-001 is a pharmaceutical preparation of sepiapterin, a natural precursor of BH4 that induced larger increases in plasma BH4 compared with administration of the same doses of BH4 itself in healthy volunteers in a randomized trial. Here, we report the effects of 7 days of once-daily treatment with CNSA-001 60 mg/kg (n = 6) or placebo (n = 2) on metabolites of the BH4 synthetic pathway and on biomarkers of the serotonin (5-hydroxyindoleacetic acid [5-HIAA]) and dopamine (homovanillic acid [HVA]) pathways in cerebrospinal fluid (CSF) in subjects from this trial. There were no notable changes in any metabolite in placebo-treated subjects. Administration of CNSA-001 increased mean BH4 from 18.1 (SD 3.0) to 35.1 (10.0) nmol/L, and of dihydrobiopterin (BH2) from 2.1 (0.3) to 7.9 (1.5) nmol/L. Overall, administration of CNSA-001 had little effect on mean levels (pre- vs. post-treatment) of 5-HIAA (76.1 [SD 29.8] vs. 70.1 [23.1] nmol/L) or HVA (177.2 [66.5] vs. 184.8 [35.3]) nmol/L. One subject with low 5-HIAA and HVA at baseline responded with approximately three-fold increases in CNS levels of these metabolites after CNSA-001 treatment, with post-treatment levels within the range of those seen in other subjects. Administration of CNSA-001 60 mg/kg markedly increased levels of BH4 in the CNS of healthy volunteers, with apparently little overall effect in CNS levels of already normal key neurotransmitter metabolites. Tetrahydrobiopterin (BH4) is a cofactor of enzymes involved in production of central neurotransmitters dopamine and serotonin Healthy volunteers were randomized to receive a once daily doses of CNSA-001 (sepiapterin) or placebo for 7 days Oral CNSA-001 administration increased levels of BH4 and 7,8-dihydrobiopterin (BH2) in cerebrospinal fluid Normal base levels of metabolites of serotonin (5-HIAA) or dopamine (HVA) were unaffected Abnormally low baseline levels of 5-HIAA and HVA in one patient increased to normal ranges following CNSA-001 administration
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Affiliation(s)
- Neil Smith
- Censa Pharmaceuticals Inc., Wellesley, MA, USA
| | - Nicola Longo
- Division of Medical Genetics, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | | | | | - Nenad Blau
- Dietmar-Hopp Metabolic Center, University Children's Hospital, Heidelberg, Germany.,Division of Metabolism, University Children's Hospital, Zurich, Switzerland
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Almannai M, Felemban R, Saleh MA, Faqeih EA, Alasmari A, AlHashem A, Mohamed S, Sunbul R, Al-Murshedi F, AlThihli K, Eyaid W, Ali R, Ben-Omran T, Blau N, El-Hattab AW, Alfadhel M. 6-Pyruvoyltetrahydropterin Synthase Deficiency: Review and Report of 28 Arab Subjects. Pediatr Neurol 2019; 96:40-47. [PMID: 30926181 DOI: 10.1016/j.pediatrneurol.2019.02.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [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: 09/18/2018] [Revised: 02/03/2019] [Accepted: 02/10/2019] [Indexed: 01/07/2023]
Abstract
BACKGROUND Tetrahydrobiopterin is an essential cofactor for the hydroxylation of aromatic amino acids phenylalanine, tyrosine, and tryptophan. Therefore, tetrahydrobiopterin deficiency results in hyperphenylalaninemia as well as dopamine and serotonin depletion in the central nervous system. The enzyme 6-pyruvoyltetrahydropterin synthase catalyzes the second step of de novo synthesis of tetrahydrobiopterin, and its deficiency is the most frequent cause of tetrahydrobiopterin metabolism disorders. METHOD We conducted a retrospective chart review of 28 subjects from 24 families with molecularly confirmed 6-pyruvoyltetrahydropterin synthase deficiency from six centers in three Arab countries. We reviewed clinical, biochemical, and molecular data. We also reviewed previously published cohorts of subjects with 6-pyruvoyltetrahydropterin synthase deficiency. RESULTS Similar to previous observations, we show that early treatment (less than two months) is associated with better outcome. We identify eight PTS variants in 24 independent families. The most common variant is (c.238A>G; p.M80V) with an allele count of 33%. We also identify one novel variant (c.2T>G; p.?). CONCLUSION The deficiency of 6-pyruvoyltetrahydropterin synthase is relatively common in the Arab population and should be considered in individuals with hyperphenylalaninemia. More natural history studies with comprehensive biochemical and molecular genetics data are needed for a robust base for the development of future therapy.
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Affiliation(s)
- Mohammed Almannai
- Section of Medical Genetics, Children's Hospital, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Rana Felemban
- Section of Medical Genetics, Children's Hospital, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Mohammed A Saleh
- Section of Medical Genetics, Children's Hospital, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Eissa A Faqeih
- Section of Medical Genetics, Children's Hospital, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Ali Alasmari
- Section of Medical Genetics, Children's Hospital, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Amal AlHashem
- Department of Pediatric, Prince Sultan Medical Military City, Riyadh, Saudi Arabia; Department of Anatomy and Cell Biology, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
| | - Sarar Mohamed
- Department of Pediatric, Prince Sultan Medical Military City, Riyadh, Saudi Arabia
| | - Rawda Sunbul
- Pediatrics Medical Genetic Unit (PMGU), Pediatrics Department, Qatif Central Hospital, Qatif, Saudi Arabia
| | - Fathiya Al-Murshedi
- Department of Genetics, College of Medicine, Sultan Qaboos University, Muscat, Sultanate of Oman
| | - Khalid AlThihli
- Department of Genetics, College of Medicine, Sultan Qaboos University, Muscat, Sultanate of Oman
| | - Wafaa Eyaid
- Division of Genetics, Department of Pediatrics, King Abdulaziz Medical City, Ministry of National Guard-Health Affairs (MNGHA), Riyadh, Saudi Arabia
| | - Rehab Ali
- Clinical and Metabolic Genetics Section, Department of Pediatrics, Hamad Medical Corporation, Doha, Qatar
| | - Tawfeg Ben-Omran
- Clinical and Metabolic Genetics Section, Department of Pediatrics, Hamad Medical Corporation, Doha, Qatar
| | - Nenad Blau
- Dietmar-Hopp-Metabolic Center, University Children's Hospital, Heidelberg, Germany; Division of Metabolism, University Children's Hospital Zurich, Switzerland
| | - Ayman W El-Hattab
- Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates; Genetics Clinics, KidsHeart Medical Center, Dubai, United Arab Emirates
| | - Majid Alfadhel
- Division of Genetics, Department of Pediatrics, King Abdulaziz Medical City, Ministry of National Guard-Health Affairs (MNGHA), Riyadh, Saudi Arabia; King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia; College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
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40
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Ferreira CR, Cassiman D, Blau N. Clinical and biochemical footprints of inherited metabolic diseases. II. Metabolic liver diseases. Mol Genet Metab 2019; 127:117-121. [PMID: 31005404 PMCID: PMC10515611 DOI: 10.1016/j.ymgme.2019.04.002] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 03/25/2019] [Accepted: 04/05/2019] [Indexed: 12/14/2022]
Abstract
Inherited metabolic diseases account for about one third of pediatric patients with hepatomegaly, acute liver failure, cirrhosis or cholestasis. Specifically for pediatric acute liver failure, they account for 10-15% of cases, with a mortality of 22-65%. The percentage of acute liver failure caused by an inherited metabolic disease in children <2-3 years of age is even higher, ranging from a third to half of all cases. Metabolic liver disease accounts for 8-13% of all pediatric liver transplantations. Despite this high burden of disease, underdiagnosis remains common. We reviewed and updated the list of known metabolic etiologies associated with various types of metabolic liver involvement, and found 142 relevant inborn errors of metabolism. This represents the second of a series of articles attempting to create and maintain a comprehensive list of clinical and metabolic differential diagnoses according to system involvement.
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Affiliation(s)
- Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
| | - David Cassiman
- Department of Gastroenterology-Hepatology and Metabolic Center, University of Leuven, Leuven, Belgium.
| | - Nenad Blau
- Dietmar-Hopp Metabolic Center, University Children's Hospital, Heidelberg, Germany; Division of Metabolism, Children's Hospital, Zürich, Switzerland.
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Himmelreich N, Montioli R, Bertoldi M, Carducci C, Leuzzi V, Gemperle C, Berner T, Hyland K, Thöny B, Hoffmann GF, Voltattorni CB, Blau N. Aromatic amino acid decarboxylase deficiency: Molecular and metabolic basis and therapeutic outlook. Mol Genet Metab 2019; 127:12-22. [PMID: 30952622 DOI: 10.1016/j.ymgme.2019.03.009] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [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: 01/07/2019] [Revised: 03/24/2019] [Accepted: 03/25/2019] [Indexed: 12/24/2022]
Abstract
Aromatic-l-amino acid decarboxylase (AADC) deficiency is an ultra-rare inherited autosomal recessive disorder characterized by sharply reduced synthesis of dopamine as well as other neurotransmitters. Symptoms, including hypotonia and movement disorders (especially oculogyric crisis and dystonia) as well as autonomic dysfunction and behavioral disorders, vary extensively and typically emerge in the first months of life. However, diagnosis is difficult, requiring analysis of metabolites in cerebrospinal fluid, assessment of plasma AADC activity, and/or DNA sequence analysis, and is frequently delayed for years. New metabolomics techniques promise early diagnosis of AADC deficiency by detection of 3-O-methyl-dopa in serum or dried blood spots. A total of 82 dopa decarboxylase (DDC) variants in the DDC gene leading to AADC deficiency have been identified and catalogued for all known patients (n = 123). Biochemical and bioinformatics studies provided insight into the impact of many variants. c.714+4A>T, p.S250F, p.R347Q, and p.G102S are the most frequent variants (cumulative allele frequency = 57%), and c.[714+4A>T];[714+4A>T], p.[S250F];[S250F], and p.[G102S];[G102S] are the most frequent genotypes (cumulative genotype frequency = 40%). Known or predicted molecular effect was defined for 79 variants. Most patients experience an unrelenting disease course with poor or no response to conventional medical treatments, including dopamine agonists, monoamine oxidase inhibitors, and pyridoxine derivatives. The advent of gene therapy represents a potentially promising new avenue for treatment of patients with AADC deficiency. Clinical studies based on the direct infusion of engineered adeno-associated virus type 2 vectors into the putamen have demonstrated acceptable safety and tolerability and encouraging improvement in motor milestones and cognitive symptoms. The success of gene therapy in AADC deficiency treatment will depend on timely diagnosis to facilitate treatment administration before the onset of neurologic damage.
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Affiliation(s)
- Nastassja Himmelreich
- Dietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Children's Hospital, Heidelberg, Germany
| | - Riccardo Montioli
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Mariarita Bertoldi
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Carla Carducci
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Vincenzo Leuzzi
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Corinne Gemperle
- Department of Pediatrics, Divisions of Metabolism and of Clinical Chemistry and Biochemistry, University of Zürich, Zürich, Switzerland
| | - Todd Berner
- Global Medical Affairs, PTC Therapeutics, South Plainfield, NJ, USA
| | - Keith Hyland
- Medical Neurogenetics Laboratories, Atlanta, GA, USA
| | - Beat Thöny
- Department of Pediatrics, Divisions of Metabolism and of Clinical Chemistry and Biochemistry, University of Zürich, Zürich, Switzerland
| | - Georg F Hoffmann
- Dietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Children's Hospital, Heidelberg, Germany
| | - Carla B Voltattorni
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
| | - Nenad Blau
- Dietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Children's Hospital, Heidelberg, Germany.
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Pilotto A, Blau N, Leks E, Schulte C, Deuschl C, Zipser C, Piel D, Freisinger P, Gramer G, Kölker S, Haas D, Burgard P, Nawroth P, Georg H, Scheffler K, Berg D, Trefz F. Cerebrospinal fluid biogenic amines depletion and brain atrophy in adult patients with phenylketonuria. J Inherit Metab Dis 2019; 42:398-406. [PMID: 30706953 DOI: 10.1002/jimd.12049] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [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: 11/04/2018] [Accepted: 12/31/2018] [Indexed: 01/29/2023]
Abstract
Biogenic amines synthesis in phenylketonuria (PKU) patients with high phenylalanine (Phe) concentration is thought to be impaired due to inhibition of tyrosine and tryptophan hydroxylases and competition with amino acids at the blood-brain barrier. Dopamine and serotonin deficits might explain brain damage and progressive neuropsychiatric impairment in adult PKU patients. Ten early treated adult PKU patients (mean age 38.2 years) and 15 age-matched controls entered the study. Plasma and cerebrospinal fluid (CSF) Phe, 5-hydroxyindoleacetic acid (5-HIAA), 5-hydroxytryptophan (5-HTP), 3,4-dihydroxy-l-phenylalanine (l-DOPA) and homovanillic acid (HVA) were analyzed. Voxel-based morphometry statistical nonparametric mapping was used to test the age-corrected correlation between gray matter atrophy and CSF biogenic amines levels. 5-HIAA and 5-HTP were significantly reduced in PKU patients compared to controls. Significant negative correlations were found between CSF 5-HIAA, HVA, and 5-HTP and Phe levels. A decrease in 5-HIAA and 5-HTP concentrations correlated with precuneus and frontal atrophy, respectively. Lower HVA levels correlated with occipital atrophy. Biogenic amines deficits correlate with specific brain atrophy patterns in adult PKU patients, in line with serotonin and dopamine projections. These findings may support a more rigorous Phe control in adult PKU to prevent neurotransmitter depletion and accelerated brain damage due to aging.
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Affiliation(s)
- Andrea Pilotto
- Department of Neurodegeneration, Hertie Institute of Clinical Brain Research, University of Tübingen, Tübingen, Germany
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Parkinson's Disease Rehabilitation Centre, FERB ONLUS S. Isidoro Hospital, Trescore Balneario, Italy
| | - Nenad Blau
- Department of Pediatrics, Division for Neuropediatrics and Metabolic Medicine, University of Heidelberg, Heidelberg, Germany
| | - Edytha Leks
- Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
| | - Claudia Schulte
- Department of Neurodegeneration, Hertie Institute of Clinical Brain Research, University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases, Department of Neurodegeneration, Tübingen, Germany
| | - Christian Deuschl
- Department of Neurodegeneration, Hertie Institute of Clinical Brain Research, University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases, Department of Neurodegeneration, Tübingen, Germany
| | - Carl Zipser
- Department of Neurology and Stroke, and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - David Piel
- Department of Endocrinology, Internal Medicine I, University of Heidelberg, Heidelberg, Germany
| | | | - Gwendolyn Gramer
- Department of Pediatrics, Division for Neuropediatrics and Metabolic Medicine, University of Heidelberg, Heidelberg, Germany
| | - Stefan Kölker
- Department of Pediatrics, Division for Neuropediatrics and Metabolic Medicine, University of Heidelberg, Heidelberg, Germany
| | - Dorothea Haas
- Department of Pediatrics, Division for Neuropediatrics and Metabolic Medicine, University of Heidelberg, Heidelberg, Germany
| | - Peter Burgard
- Department of Pediatrics, Division for Neuropediatrics and Metabolic Medicine, University of Heidelberg, Heidelberg, Germany
| | - Peter Nawroth
- Department of Endocrinology, Internal Medicine I, University of Heidelberg, Heidelberg, Germany
| | - Hoffmann Georg
- Department of Pediatrics, Division for Neuropediatrics and Metabolic Medicine, University of Heidelberg, Heidelberg, Germany
| | - Klaus Scheffler
- Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
- Magnetic Resonance Centre, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany
| | - Daniela Berg
- Department of Neurodegeneration, Hertie Institute of Clinical Brain Research, University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases, Department of Neurodegeneration, Tübingen, Germany
- Department of Neurology, University-Hospital-Schleswig-Holstein, Christian-Albrechts-University, Kiel, Germany
| | - Friedrich Trefz
- Department of Pediatrics, Division for Neuropediatrics and Metabolic Medicine, University of Heidelberg, Heidelberg, Germany
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Ferreira CR, Hoffmann GF, Blau N. Clinical and biochemical footprints of inherited metabolic diseases. I. Movement disorders. Mol Genet Metab 2019; 127:28-30. [PMID: 30928149 PMCID: PMC10515610 DOI: 10.1016/j.ymgme.2019.03.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 01/26/2019] [Accepted: 03/14/2019] [Indexed: 11/30/2022]
Abstract
About a third of patients with inherited metabolic diseases with neurologic involvement suffer from a movement disorder, in the form of ataxia, hyperkinetic movements, or hypokinetic-rigid syndrome. We reviewed and updated the list of known metabolic etiologies associated with various types of movement disorders, and found approximately 200 relevant inborn errors of metabolism. This represents the first of a series of articles attempting to create and maintain a comprehensive list of clinical and metabolic differential diagnoses according to system involvement.
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Affiliation(s)
- Carlos R Ferreira
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Georg F Hoffmann
- Dietmar-Hopp Metabolic Center, University Children's Hospital, Heidelberg, Germany
| | - Nenad Blau
- Dietmar-Hopp Metabolic Center, University Children's Hospital, Heidelberg, Germany; Division of Metabolism, Children's Hospital, Zürich, Switzerland.
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Jung‐KC K, Himmelreich N, Prestegård KS, Shi TS, Scherer T, Ying M, Jorge‐Finnigan A, Thöny B, Blau N, Martinez A. Cover Image, Volume 40, Issue 4. Hum Mutat 2019. [DOI: 10.1002/humu.23727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Manti F, Nardecchia F, Barresi S, Venditti M, Pizzi S, Hamdan FF, Blau N, Burlina A, Tartaglia M, Leuzzi V. Neurotransmitter trafficking defect in a patient with clathrin (CLTC) variation presenting with intellectual disability and early-onset parkinsonism. Parkinsonism Relat Disord 2019; 61:207-210. [DOI: 10.1016/j.parkreldis.2018.10.012] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 09/20/2018] [Accepted: 10/10/2018] [Indexed: 01/02/2023]
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Muniz JR, Szeto NWS, Frise R, Lee WH, Wang XS, Thöny B, Himmelreich N, Blau N, Hsiao KJ, Liu TT, Gileadi O, Oppermann U, Von Delft F, Yue WW, Tang NLS. Role of protein structure in variant annotation: structural insight of mutations causing 6-pyruvoyl-tetrahydropterin synthase deficiency. Pathology 2019; 51:274-280. [DOI: 10.1016/j.pathol.2018.11.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 11/13/2018] [Accepted: 11/19/2018] [Indexed: 10/27/2022]
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Smith N, Longo N, Levert K, Hyland K, Blau N. Phase I clinical evaluation of CNSA-001 (sepiapterin), a novel pharmacological treatment for phenylketonuria and tetrahydrobiopterin deficiencies, in healthy volunteers. Mol Genet Metab 2019; 126:406-412. [PMID: 30922814 DOI: 10.1016/j.ymgme.2019.02.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [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: 12/06/2018] [Revised: 02/07/2019] [Accepted: 02/07/2019] [Indexed: 01/14/2023]
Abstract
Tetrahydrobiopterin (BH4) is the natural cofactor of aromatic amino acid hydroxylases and essential for degradation of phenylalanine and synthesis of catecholamines and serotonin. It can be synthesized either de novo from GTP or through the salvage pathway from sepiapterin. Sepiapterin, a natural precursor of BH4, is a more stable molecule and is transported more efficiently across cellular membranes, thus having potentially significant advantage over BH4 as a pharmacological agent for diseases associated with BH4-deficient conditions. We report the results of a first-in-humans, randomized, double-blind, placebo-controlled, dose-ranging, Phase I clinical trial in 83 healthy volunteers of CNSA-001, a novel formulation of sepiapterin. Single oral doses of 2.5-80 mg/kg CNSA-001 caused dose-related increases in plasma sepiapterin (mean Cmax 0.58-2.92 ng/mL) and BH4 (mean Cmax 57-312 ng/mL). Maximum plasma concentrations were achieved in about 1-2 h (sepiapterin) or about 4 h (BH4) after CNSA-001 oral intake. Increases in plasma BH4 were substantially larger in absolute terms and on a dose-for-dose basis following treatment with CNSA-001 vs. sapropterin dihydrochloride, a synthetic form of BH4. The pharmacokinetics of plasma sepiapterin and BH4 were similar before and after seven days of repeat daily dosing with CNSA-001 at 5, 20 or 60 mg/kg indicating little or no drug accumulation. Oral administration of CNSA-001 resulted in higher concentrations of sepiapterin in fasted vs. fed subjects, but overall BH4 plasma exposure following CNSA-001 intake increased by 1.7-1.8-fold in fed subjects. CNSA-001 was well tolerated, with no clear dose-relationship for adverse events (AE), no serious AE and no study discontinuations for AE. These data indicate that CNSA-001 is rapidly and efficiently converted to BH4 in humans supporting further clinical evaluation of CNSA-001 for the management of PKU, primary BH4 deficiencies and other diseases associated with deficient BH4 metabolism.
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Affiliation(s)
- Neil Smith
- Censa Pharmaceuticals Inc., Wellesley, MA, USA.
| | - Nicola Longo
- Division of Medical Genetics, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | | | | | - Nenad Blau
- Dietmar-Hopp-Metabolic Center, University Children's Hospital, Heidelberg, Germany; Division of Metabolism, University Children's Hospital, Zurich, Switzerland.
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Jung-Kc K, Himmelreich N, Prestegård KS, Shi TJS, Scherer T, Ying M, Jorge-Finnigan A, Thöny B, Blau N, Martinez A. Phenylalanine hydroxylase variants interact with the co-chaperone DNAJC12. Hum Mutat 2019; 40:483-494. [PMID: 30667134 DOI: 10.1002/humu.23712] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [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: 11/07/2018] [Revised: 01/12/2019] [Accepted: 01/19/2019] [Indexed: 12/13/2022]
Abstract
DNAJC12, a type III member of the HSP40/DNAJ family, has been identified as the specific co-chaperone of phenylalanine hydroxylase (PAH) and the other aromatic amino acid hydroxylases. DNAJ proteins work together with molecular chaperones of the HSP70 family to assist in proper folding and maintenance of intracellular stability of their clients. Autosomal recessive mutations in DNAJC12 were found to reduce PAH levels, leading to hyperphenylalaninemia (HPA) in patients without mutations in PAH. In this work, we investigated the interaction of normal wild-type DNAJC12 with mutant PAH in cells expressing several PAH variants associated with HPA in humans, as well as in the Enu1/1 mouse model, homozygous for the V106A-Pah variant, which leads to severe protein instability, accelerated PAH degradation and mild HPA. We found that mutant PAH exhibits increased ubiquitination, instability, and aggregation compared with normal PAH. In mouse liver lysates, we showed that DNAJC12 interacts with monoubiquitin-tagged PAH. This form represented a major fraction of PAH in the Enu1/1 but was also present in liver of wild-type PAH mice. Our results support a role of DNAJC12 in the processing of misfolded ubiquitinated PAH by the ubiquitin-dependent proteasome/autophagy systems and add to the evidence that the DNAJ proteins are important players both for proper folding and degradation of their clients.
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Affiliation(s)
- Kunwar Jung-Kc
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | | | | | | | - Tanja Scherer
- Division of Metabolism, University Children's Hospital Zürich, Zürich, Switzerland
| | - Ming Ying
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | | | - Beat Thöny
- Division of Metabolism, University Children's Hospital Zürich, Zürich, Switzerland
| | - Nenad Blau
- Dietmar-Hopp-Metabolic Center, University Children's Hospital, Heidelberg, Germany.,Division of Metabolism, University Children's Hospital Zürich, Zürich, Switzerland
| | - Aurora Martinez
- Department of Biomedicine, University of Bergen, Bergen, Norway
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van Karnebeek CDM, Sayson B, Lee JJY, Tseng LA, Blau N, Horvath GA, Ferreira CR. Metabolic Evaluation of Epilepsy: A Diagnostic Algorithm With Focus on Treatable Conditions. Front Neurol 2018; 9:1016. [PMID: 30559706 PMCID: PMC6286965 DOI: 10.3389/fneur.2018.01016] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [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: 08/07/2018] [Accepted: 11/12/2018] [Indexed: 01/04/2023] Open
Abstract
Although inborn errors of metabolism do not represent the most common cause of seizures, their early identification is of utmost importance, since many will require therapeutic measures beyond that of common anti-epileptic drugs, either in order to control seizures, or to decrease the risk of neurodegeneration. We translate the currently-known literature on metabolic etiologies of epilepsy (268 inborn errors of metabolism belonging to 21 categories, with 74 treatable errors), into a 2-tiered diagnostic algorithm, with the first-tier comprising accessible, affordable, and less invasive screening tests in urine and blood, with the potential to identify the majority of treatable conditions, while the second-tier tests are ordered based on individual clinical signs and symptoms. This resource aims to support the pediatrician, neurologist, biochemical, and clinical geneticists in early identification of treatable inborn errors of metabolism in a child with seizures, allowing for timely initiation of targeted therapy with the potential to improve outcomes.
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Affiliation(s)
- Clara D M van Karnebeek
- Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada.,Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada.,Departments of Pediatrics and Clinical Genetics, Emma Children's Hospital, Amsterdam University Medical Centres, Amsterdam, Netherlands
| | - Bryan Sayson
- Division of Biochemical Diseases, Department of Pediatrics, BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Jessica J Y Lee
- Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Laura A Tseng
- Departments of Pediatrics and Clinical Genetics, Emma Children's Hospital, Amsterdam University Medical Centres, Amsterdam, Netherlands
| | - Nenad Blau
- Dietmar-Hopp Metabolic Center, University Children's Hospital, Heidelberg, Germany.,Division of Metabolism, University Children's Hospital, Zurich, Switzerland
| | - Gabriella A Horvath
- Division of Biochemical Diseases, Department of Pediatrics, BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Carlos R Ferreira
- Division of Genetics and Metabolism, Children's National Health System, Washington, DC, United States.,National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
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Zastrow DB, Baudet H, Shen W, Thomas A, Si Y, Weaver MA, Lager AM, Liu J, Mangels R, Dwight SS, Wright MW, Dobrowolski SF, Eilbeck K, Enns GM, Feigenbaum A, Lichter‐Konecki U, Lyon E, Pasquali M, Watson M, Blau N, Steiner RD, Craigen WJ, Mao R. Cover Image, Volume 39, Issue 11. Hum Mutat 2018. [DOI: 10.1002/humu.23662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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