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Panis B, Vos EN, Barić I, Bosch AM, Brouwers MCGJ, Burlina A, Cassiman D, Coman DJ, Couce ML, Das AM, Demirbas D, Empain A, Gautschi M, Grafakou O, Grunewald S, Kingma SDK, Knerr I, Leão-Teles E, Möslinger D, Murphy E, Õunap K, Pané A, Paci S, Parini R, Rivera IA, Scholl-Bürgi S, Schwartz IVD, Sdogou T, Shakerdi LA, Skouma A, Stepien KM, Treacy EP, Waisbren S, Berry GT, Rubio-Gozalbo ME. Brain function in classic galactosemia, a galactosemia network (GalNet) members review. Front Genet 2024; 15:1355962. [PMID: 38425716 PMCID: PMC10902464 DOI: 10.3389/fgene.2024.1355962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 01/24/2024] [Indexed: 03/02/2024] Open
Abstract
Classic galactosemia (CG, OMIM #230400, ORPHA: 79,239) is a hereditary disorder of galactose metabolism that, despite treatment with galactose restriction, affects brain function in 85% of the patients. Problems with cognitive function, neuropsychological/social emotional difficulties, neurological symptoms, and abnormalities in neuroimaging and electrophysiological assessments are frequently reported in this group of patients, with an enormous individual variability. In this review, we describe the role of impaired galactose metabolism on brain dysfunction based on state of the art knowledge. Several proposed disease mechanisms are discussed, as well as the time of damage and potential treatment options. Furthermore, we combine data from longitudinal, cross-sectional and retrospective studies with the observations of specialist teams treating this disease to depict the brain disease course over time. Based on current data and insights, the majority of patients do not exhibit cognitive decline. A subset of patients, often with early onset cerebral and cerebellar volume loss, can nevertheless experience neurological worsening. While a large number of patients with CG suffer from anxiety and depression, the increased complaints about memory loss, anxiety and depression at an older age are likely multifactorial in origin.
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Affiliation(s)
- Bianca Panis
- Department of Pediatrics, MosaKids Children’s Hospital, Maastricht University Medical Centre, Maastricht, Netherlands
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- United for Metabolic Diseases (UMD), Amsterdam, Netherlands
| | - E. Naomi Vos
- Department of Pediatrics, MosaKids Children’s Hospital, Maastricht University Medical Centre, Maastricht, Netherlands
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- United for Metabolic Diseases (UMD), Amsterdam, Netherlands
- Department of Clinical Genetics, Maastricht University Medical Centre, Maastricht, Netherlands
- GROW School for Oncology and Reproduction, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Ivo Barić
- Department of Pediatrics, University Hospital Center Zagreb, Croatia, and School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Annet M. Bosch
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- United for Metabolic Diseases (UMD), Amsterdam, Netherlands
- Department of Pediatrics, Division of Metabolic Diseases, Emma Children’s Hospital, Amsterdam University Medical Center, Amsterdam Gastroenterology Endocrinology Metabolism, Inborn Errors of Metabolism, Amsterdam, Netherlands
| | - Martijn C. G. J. Brouwers
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- Department of Internal Medicine, Division of Endocrinology and Metabolic Disease, Maastricht University Medical Centre, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, Netherlands
| | - Alberto Burlina
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- Division of Inherited Metabolic Diseases, Reference Centre Expanded Newborn Screening, University Hospital Padova, Padova, Italy
| | - David Cassiman
- Laboratory of Hepatology, Department of Chronic Diseases, Metabolism and Ageing, Faculty of Medicine, KU Leuven, Leuven, Belgium
| | - David J. Coman
- Queensland Children’s Hospital, Children’s Health Queensland, Brisbane, QLD, Australia
| | - María L. Couce
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- Department of Pediatrics, Diagnosis and Treatment Unit of Congenital Metabolic Diseases, University Clinical Hospital of Santiago de Compostela, IDIS-Health Research Institute of Santiago de Compostela, CIBERER, RICORS Instituto Salud Carlos III, Santiago de Compostela, Spain
| | - Anibh M. Das
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- Department of Paediatrics, Pediatric Metabolic Medicine, Hannover Medical School, Hannover, Germany
| | - Didem Demirbas
- Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Manton Center for Orphan Disease Research, Boston, MA, United States
| | - Aurélie Empain
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- Department of Paediatrics, Metabolic and Nutrition Unit, Division of Endocrinology, Diabetes and Metabolism, University Hospital for Children Queen Fabiola, Bruxelles, Belgium
| | - Matthias Gautschi
- Department of Paediatrics, Institute of Clinical Chemistry, Inselspital, Bern University Hospital, Swiss Reference Centre for Inborn Errors of Metabolism, Site Bern, Division of Pediatric Endocrinology, Diabetes and Metabolism, University of Bern, Bern, Switzerland
| | - Olga Grafakou
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- IEM Clinic, Arch Makarios III Hospital, Nicosia, Cyprus
| | - Stephanie Grunewald
- Metabolic Unit Great Ormond Street Hospital and Institute for Child Health, University College London, London, United Kingdom
| | - Sandra D. K. Kingma
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- Centre for Metabolic Diseases, University Hospital Antwerp, University of Antwerp, Antwerp, Belgium
| | - Ina Knerr
- National Centre for Inherited Metabolic Disorders, Children’s Health Ireland at Temple Street, University College Dublin, Dublin, Ireland
| | - Elisa Leão-Teles
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- Reference Centre of Inherited Metabolic Diseases, Centro Hospitalar Universitário São João, Porto, Portugal
| | - Dorothea Möslinger
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- Department of Paediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria
| | - Elaine Murphy
- Charles Dent Metabolic Unit, National Hospital for Neurology and Neurosurgery (NHNN), London, United Kingdom
| | - Katrin Õunap
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- Genetics and Personalized Medicine Clinic, Faculty of Medicine, Tartu University Hospital, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | - Adriana Pané
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- Endocrinology and Nutrition Department, Hospital Clínic de Barcelona, Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Sabrina Paci
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- Inborn Errors of Metabolism, Clinical Department of Pediatrics, San Paolo Hospital - ASST Santi Paolo e Carlo, University of Milan, Milan, Italy
| | - Rossella Parini
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- Rare Diseases Unit, Department of Internal Medicine, San Gerardo Hospital IRCCS, Monza, Italy
| | - Isabel A. Rivera
- iMed.ULisboa–Instituto de Investigação do Medicamento, Faculdade de Farmácia, Universidade de Lisboa, Lisboa, Portugal
| | - Sabine Scholl-Bürgi
- Department of Child and Adolescent Health, Division of Pediatrics I-Inherited Metabolic Disorders, Medical University Innsbruck, Innsbruck, Austria
| | - Ida V. D. Schwartz
- Medical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, Brazil
| | - Triantafyllia Sdogou
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- Newborn Screening Department, Institute of Child Health, Athens, Greece
| | - Loai A. Shakerdi
- Adult Metabolics/Genetics, National Centre for Inherited Metabolic Disorders, The Mater Misericordiae University Hospital, Dublin, Ireland
| | - Anastasia Skouma
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- Newborn Screening Department, Institute of Child Health, Athens, Greece
| | - Karolina M. Stepien
- Salford Royal Organisation, Northern Care Alliance NHS Foundation Trust, Salford, United Kingdom
| | - Eileen P. Treacy
- School of Medicine, Trinity College Dublin, National Rare Diseases Office, Mater Misericordiae University Hospital, Dublin, Ireland
| | - Susan Waisbren
- Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Manton Center for Orphan Disease Research, Boston, MA, United States
| | - Gerard T. Berry
- Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Manton Center for Orphan Disease Research, Boston, MA, United States
| | - M. Estela Rubio-Gozalbo
- Department of Pediatrics, MosaKids Children’s Hospital, Maastricht University Medical Centre, Maastricht, Netherlands
- European Reference Network for Hereditary Metabolic Disorders (MetabERN) Member, Padova, Italy
- United for Metabolic Diseases (UMD), Amsterdam, Netherlands
- Department of Clinical Genetics, Maastricht University Medical Centre, Maastricht, Netherlands
- GROW School for Oncology and Reproduction, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
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Delnoy B, Coelho AI, Rubio-Gozalbo ME. Current and Future Treatments for Classic Galactosemia. J Pers Med 2021; 11:jpm11020075. [PMID: 33525536 PMCID: PMC7911353 DOI: 10.3390/jpm11020075] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 01/23/2021] [Accepted: 01/24/2021] [Indexed: 02/07/2023] Open
Abstract
Type I (classic) galactosemia, galactose 1-phosphate uridylyltransferase (GALT)-deficiency is a hereditary disorder of galactose metabolism. The current therapeutic standard of care, a galactose-restricted diet, is effective in treating neonatal complications but is inadequate in preventing burdensome complications. The development of several animal models of classic galactosemia that (partly) mimic the biochemical and clinical phenotypes and the resolution of the crystal structure of GALT have provided important insights; however, precise pathophysiology remains to be elucidated. Novel therapeutic approaches currently being explored focus on several of the pathogenic factors that have been described, aiming to (i) restore GALT activity, (ii) influence the cascade of events and (iii) address the clinical picture. This review attempts to provide an overview on the latest advancements in therapy approaches.
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Affiliation(s)
- Britt Delnoy
- Department of Pediatrics, Maastricht University Medical Centre, 6229 HX Maastricht, The Netherlands; (B.D.); (A.I.C.)
- Department of Clinical Genetics, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands
- GROW-School for Oncology and Developmental Biology, Maastricht University, 6229 HX Maastricht, The Netherlands
| | - Ana I. Coelho
- Department of Pediatrics, Maastricht University Medical Centre, 6229 HX Maastricht, The Netherlands; (B.D.); (A.I.C.)
| | - Maria Estela Rubio-Gozalbo
- Department of Pediatrics, Maastricht University Medical Centre, 6229 HX Maastricht, The Netherlands; (B.D.); (A.I.C.)
- Department of Clinical Genetics, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands
- GROW-School for Oncology and Developmental Biology, Maastricht University, 6229 HX Maastricht, The Netherlands
- Correspondence: ; Tel.: +31-43-3872920
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Oh SL, Cheng LY, J Zhou JF, Henke W, Hagen T. Galactose 1-phosphate accumulates to high levels in galactose-treated cells due to low GALT activity and absence of product inhibition of GALK. J Inherit Metab Dis 2020; 43:529-539. [PMID: 31774565 DOI: 10.1002/jimd.12198] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 11/22/2019] [Accepted: 11/25/2019] [Indexed: 12/17/2022]
Abstract
Classic Galactosaemia is a genetic disorder, characterised by galactose intolerance in newborns. It occurs due to recessive mutations in the galactose-1-phosphate uridylyltransferase (GALT) gene. One of the main alterations caused by GALT deficiency is the accumulation of galactose 1-phosphate (Gal-1P) in cells. Studies have suggested that Gal-1P exerts cellular toxicity, possibly by inhibiting cellular metabolism. However, the exact significance of Gal-1P in disease pathogenesis remains unclear. In this study, we tested the hypothesis that Gal-1P inhibits cellular glucose utilisation by competing with substrates in the glycolytic pathway. We also investigated the metabolism of both galactose and glucose in GALT-expressing HEK293T and 143B cells to identify critical reactions steps contributing to the metabolic toxicity of galactose. Notably, we found that galactose-treated HEK293T and 143B cells, which express endogenous GALT, accumulate markedly high intracellular Gal-1P concentrations. Despite very high intracellular Gal-1P concentrations, no inhibition of cellular glucose uptake and no significant changes in the intracellular concentrations of glycolytic metabolites were observed. This indicates that Gal-1P does not exert an inhibitory effect on glycolysis in cells and rules out one potential hypothesis for cellular Gal-1P toxicity. We also investigated the mechanism responsible for the observed Gal-1P accumulation. Our results suggest that Gal-1P accumulation is a result of both low GALT activity and the absence of product inhibition by Gal-1P on galactokinase (GALK1), the enzyme responsible for phosphorylating galactose to Gal-1P. These findings provide a better understanding of the disease mechanisms underlying Classic Galactoaemia.
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Affiliation(s)
- Sher Li Oh
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Li Yi Cheng
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jie Fu J Zhou
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wolfgang Henke
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Thilo Hagen
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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4
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Welsink‐Karssies MM, van Harskamp D, Ferdinandusse S, Hollak CEM, Huidekoper HH, Janssen MCH, Kemper EM, Langendonk JG, Rubio‐Gozalbo ME, de Vries MC, Wijburg FA, Schierbeek H, Bosch AM. The 1- 13 C galactose breath test in GALT deficient patients distinguishes NBS detected variant patients but does not predict outcome in classical phenotypes. J Inherit Metab Dis 2020; 43:507-517. [PMID: 31845337 PMCID: PMC7317391 DOI: 10.1002/jimd.12207] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 12/10/2019] [Accepted: 12/12/2019] [Indexed: 11/08/2022]
Abstract
Classical galactosemia (CG) patients frequently develop long-term complications despite early dietary treatment. The highly variable clinical outcome is poorly understood and a lack of prognostic biomarkers hampers individual prognostication and treatment. The aim of this study was to investigate the association between residual galactose oxidation capacity and clinical and biochemical outcomes in CG patients with varying geno- and phenotypes. The noninvasive 1-13 C galactose breath test was used to assess whole body galactose oxidation capacity. Participants received a 7 mg/kg oral dose of 1-13 C labelled galactose. The galactose oxidation capacity was determined by calculating the cumulative percentage dose of the administered galactose (CUMPCD) recovered as 13 CO2 in exhaled air. Forty-one CG patients (5-47 years) and four adult controls were included. The median galactose oxidation capacity after 120 minutes (CUMPCDT120) of 34 classical patients (0.29; 0.08-7.51) was significantly lower when compared to two homozygous p.Ser135Leu patients (9.44; 8.66-10.22), one heterozygous p.Ser135Leu patient 18.59, four NBS detected variant patients (13.79; 12.73-14.87) and four controls (9.29; 8.94-10.02). There was a clear correlation between Gal-1-P levels and CUMPCDT120 (P < .0005). In the classical patients, the differences in CUMPCDT120 were small and did not distinguish between patients with poor and normal clinical outcomes. The galactose breath test distinguished classical patients from homo- and heterozygous p.Ser135Leu and NBS detected variant patients, but was not able to predict clinical outcomes in classical patients. Future studies are warranted to enable individualised prognostication and treatment, especially in NBS variants with galactose oxidation capacities in the control range.
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Affiliation(s)
- Mendy M. Welsink‐Karssies
- Department of Pediatrics, Division of Metabolic Disorders, Emma Children's Hospital, Amsterdam UMCUniversity of AmsterdamAmsterdamThe Netherlands
| | - Dewi van Harskamp
- Department of Pediatrics, Stable Isotope Laboratory, Emma Children's Hospital, Amsterdam UMCUniversity of AmsterdamAmsterdamThe Netherlands
| | - Sacha Ferdinandusse
- Laboratory Genetic Metabolic Diseases, Amsterdam UMCUniversity of AmsterdamAmsterdamThe Netherlands
| | - Carla E. M. Hollak
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Amsterdam UMCUniversity of AmsterdamAmsterdamThe Netherlands
| | - Hidde H. Huidekoper
- Department of Pediatrics, Center for Lysosomal and Metabolic Diseases, Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
| | - Mirian C. H. Janssen
- Department of Internal MedicineRadboud University Medical CenterNijmegenThe Netherlands
| | - E. Marleen Kemper
- Department of Pharmacy, Amsterdam UMCUniversity of AmsterdamAmsterdamThe Netherlands
| | - Janneke G. Langendonk
- Department of Internal Medicine, Center for Lysosomal and Metabolic Diseases, Erasmus MCUniversity Medical Centre RotterdamRotterdamThe Netherlands
| | - M. Estela Rubio‐Gozalbo
- Department of Pediatrics and Department of Clinical GeneticsMaastricht University Medical CenterMaastrichtThe Netherlands
| | - Maaike C. de Vries
- Department of PediatricsRadboud University Medical CenterNijmegenThe Netherlands
| | - Frits A. Wijburg
- Department of Pediatrics, Division of Metabolic Disorders, Emma Children's Hospital, Amsterdam UMCUniversity of AmsterdamAmsterdamThe Netherlands
| | - Henk Schierbeek
- Department of Pediatrics, Stable Isotope Laboratory, Emma Children's Hospital, Amsterdam UMCUniversity of AmsterdamAmsterdamThe Netherlands
| | - Annet M. Bosch
- Department of Pediatrics, Division of Metabolic Disorders, Emma Children's Hospital, Amsterdam UMCUniversity of AmsterdamAmsterdamThe Netherlands
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5
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Welsink-Karssies MM, van Weeghel M, Hollak CEM, Elfrink HL, Janssen MCH, Lai K, Langendonk JG, Oussoren E, Ruiter JPN, Treacy EP, de Vries M, Ferdinandusse S, Bosch AM. The Galactose Index measured in fibroblasts of GALT deficient patients distinguishes variant patients detected by newborn screening from patients with classical phenotypes. Mol Genet Metab 2020; 129:171-176. [PMID: 31954591 DOI: 10.1016/j.ymgme.2020.01.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 01/07/2020] [Accepted: 01/08/2020] [Indexed: 11/18/2022]
Abstract
BACKGROUND The high variability in clinical outcome of patients with Classical Galactosemia (CG) is poorly understood and underlines the importance of prognostic biomarkers, which are currently lacking. The aim of this study was to investigate if residual galactose metabolism capacity is associated with clinical and biochemical outcomes in CG patients with varying geno- and phenotypes. METHODS Galactose Metabolite Profiling (GMP) was used to determine residual galactose metabolism in fibroblasts of CG patients. The association between the galactose index (GI) defined as the ratio of the measured metabolites [U13C]Gal-1-P/ [13C6]UDP-galactose, and both intellectual and neurological outcome and galactose-1-phosphate (Gal-1-P) levels was investigated. RESULTS GMP was performed in fibroblasts of 28 patients and 3 control subjects. The GI of the classical phenotype patients (n = 22) was significantly higher than the GI of four variant patients detected by newborn screening (NBS) (p = .002), two homozygous p.Ser135Leu patients (p = .022) and three controls (p = .006). In the classical phenotype patients, 13/18 (72%) had a poor intellectual outcome (IQ < 85) and 6/12 (50%) had a movement disorder. All the NBS detected variant patients (n = 4) had a normal intellectual outcome (IQ ≥ 85) and none of them has a movement disorder. In the classical phenotype patients, there was no significant difference in GI between patients with a poor and normal clinical outcome. The NBS detected variant patients had significantly lower GI levels and thus higher residual galactose metabolism than patients with classical phenotypes. There was a clear correlation between Gal-1-P levels in erythrocytes and the GI (p = .001). CONCLUSIONS The GI was able to distinguish CG patients with varying geno- and phenotypes and correlated with Gal-1-P. The data of the NBS detected variant patients demonstrated that a higher residual galactose metabolism may result in a more favourable clinical outcome. Further research is needed to enable individual prognostication and treatment in all CG patients.
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Affiliation(s)
- Mendy M Welsink-Karssies
- Department of Pediatrics, Division of Metabolic Disorders, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Michel van Weeghel
- Department of Clinical Chemistry, Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Core Facility Metabolomics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Carla E M Hollak
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Hyung L Elfrink
- Department of Clinical Chemistry, Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Core Facility Metabolomics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Mirian C H Janssen
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Kent Lai
- Department of Pediatrics, Division of Medical Genetics, University of Utah School of Medicine, United States
| | - Janneke G Langendonk
- Department of Internal Medicine, Center for Lysosomal and Metabolic Diseases, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, the Netherlands
| | - Esmee Oussoren
- Department of Pediatrics, Center for Lysosomal and Metabolic Diseases, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Jos P N Ruiter
- Department of Clinical Chemistry, Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Eileen P Treacy
- National Centre for Inherited Metabolic Disorders, The Mater Misericordiae University Hospital Dublin, Ireland
| | - Maaike de Vries
- Department of Pediatrics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Sacha Ferdinandusse
- Department of Clinical Chemistry, Laboratory Genetic Metabolic Diseases, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Annet M Bosch
- Department of Pediatrics, Division of Metabolic Disorders, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
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6
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Wei P, He P, Zhang X, Li W, Zhang L, Guan J, Chen X, Lin Y, Zhuo X, Li Q, Peng J. Identification and characterization of microRNAs in the gonads of Crassostrea hongkongensis using high-throughput sequencing. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY D-GENOMICS & PROTEOMICS 2019; 31:100606. [PMID: 31325756 DOI: 10.1016/j.cbd.2019.100606] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 06/29/2019] [Accepted: 07/03/2019] [Indexed: 12/14/2022]
Abstract
Crassostrea hongkongensis is one of the three most-commonly cultivated oyster species in China. Although microRNAs (miRNAs) expression in the gonads have been widely investigated, few studies of miRNAs in mollusk gonads are available, particularly in oyster. In the present study, we analyzed the miRNAs expressed in the ovaries and testes of C. hongkongensis. We obtained 14,166,409 and 15,133,900 raw reads from the ovaries and testes, respectively, yielding 13,634,997 (ovarian) and 14,494,149 (testicular) 18-35-nt sequences. We mapped these sequences to the C. hongkongensis genome reference sequence, and identified 8,771,717 (ovarian) and 9,926,014 (testicular) sequences corresponding to miRNAs in the Rfam database. After blasting the miRNA sequences against the miRBase database, we identified 50 known mature miRNAs and 53 novel miRNAs. Of these, 27 miRNAs were significantly upregulated in ovaries as compared to the testes, and 43 miRNAs were significantly upregulated in the testes as compared to the ovaries. To validate the differential expression results generated by Illumina sequencing, we used RT-real-time quantitative PCR (RT-qPCR) to characterize the expression patterns of the six most differently expressed miRNAs (lgi-miR-1990, lgi-miR-1986, lgi-miR-263b, lgi-miR-279, lgi-miR-1992, and novel_98) as well as two miRNAs associated with gonad development (lgi-miR-29 and lgi-miR-8). Most of the RT-qPCR miRNA expression patterns were similar to those recovered by high-throughput sequencing with the exceptions of novel_98 and lgi-miR-1992. Gene Ontology (GO) annotations indicated that the multi-organism cellular process GO category was enriched with the target genes of the differentially expressed miRNAs. Additionally, the target genes were enriched in several KEGG pathways, including the ECM-receptor interaction, galactose metabolism, phagosome, and notch signaling pathway. These pathways are involved in gonadal differentiation and the maintenance of gonad function. This identification and characterization of the miRNAs differentially expressed between the ovaries and testes of C. hongkongensis will increase our understanding of the role of miRNAs in gonad differentiation in the oyster.
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Affiliation(s)
- Pinyuan Wei
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Academy of Fisheries Sciences, Nanning, Guangxi 530021, China
| | - Pingping He
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Academy of Fisheries Sciences, Nanning, Guangxi 530021, China
| | - Xingzhi Zhang
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Academy of Fisheries Sciences, Nanning, Guangxi 530021, China
| | - Wei Li
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Academy of Fisheries Sciences, Nanning, Guangxi 530021, China
| | - Li Zhang
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Academy of Fisheries Sciences, Nanning, Guangxi 530021, China
| | - Junliang Guan
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Academy of Fisheries Sciences, Nanning, Guangxi 530021, China
| | - Xiaohan Chen
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Academy of Fisheries Sciences, Nanning, Guangxi 530021, China
| | - Yong Lin
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Academy of Fisheries Sciences, Nanning, Guangxi 530021, China
| | - Xiaofei Zhuo
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Academy of Fisheries Sciences, Nanning, Guangxi 530021, China
| | - Qiongzhen Li
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Academy of Fisheries Sciences, Nanning, Guangxi 530021, China.
| | - Jinxia Peng
- Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture, Academy of Fisheries Sciences, Nanning, Guangxi 530021, China.
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7
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Vanoevelen JM, van Erven B, Bierau J, Huang X, Berry GT, Vos R, Coelho AI, Rubio-Gozalbo ME. Impaired fertility and motor function in a zebrafish model for classic galactosemia. J Inherit Metab Dis 2018; 41:117-127. [PMID: 28913702 PMCID: PMC5786655 DOI: 10.1007/s10545-017-0071-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Revised: 06/16/2017] [Accepted: 07/03/2017] [Indexed: 01/28/2023]
Abstract
Classic galactosemia is a genetic disorder of galactose metabolism, caused by severe deficiency of galactose-1-phosphate uridylyltransferase (GALT) enzyme activity due to mutations of the GALT gene. Its pathogenesis is still not fully elucidated, and a therapy that prevents chronic impairments is lacking. In order to move research forward, there is a high need for a novel animal model, which allows organ studies throughout development and high-throughput screening of pharmacologic compounds. Here, we describe the generation of a galt knockout zebrafish model and present its phenotypical characterization. Using a TALEN approach, a galt knockout line was successfully created. Accordingly, biochemical assays confirm essentially undetectable galt enzyme activity in homozygotes. Analogous to humans, galt knockout fish accumulate galactose-1-phosphate upon exposure to exogenous galactose. Furthermore, without prior exposure to exogenous galactose, they exhibit reduced motor activity and impaired fertility (lower egg quantity per mating, higher number of unsuccessful crossings), resembling the human phenotype(s) of neurological sequelae and subfertility. In conclusion, our galt knockout zebrafish model for classic galactosemia mimics the human phenotype(s) at biochemical and clinical levels. Future studies in our model will contribute to improved understanding and management of this disorder.
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Affiliation(s)
- Jo M Vanoevelen
- Department of Clinical Genetics, Maastricht University Medical Centre, Universiteitssingel 50, P.O. Box 616, box 16, 6200 MD, Maastricht, The Netherlands.
- GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
| | - Britt van Erven
- Department of Clinical Genetics, Maastricht University Medical Centre, Universiteitssingel 50, P.O. Box 616, box 16, 6200 MD, Maastricht, The Netherlands
- GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Pediatrics, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Jörgen Bierau
- Department of Clinical Genetics, Maastricht University Medical Centre, Universiteitssingel 50, P.O. Box 616, box 16, 6200 MD, Maastricht, The Netherlands
| | - Xiaoping Huang
- The Manton Center for Orphan Disease Research, Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Gerard T Berry
- The Manton Center for Orphan Disease Research, Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Rein Vos
- Department of Methodology and Statistics, School for Public Health and Primary Care (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Ana I Coelho
- Department of Clinical Genetics, Maastricht University Medical Centre, Universiteitssingel 50, P.O. Box 616, box 16, 6200 MD, Maastricht, The Netherlands
- GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Pediatrics, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - M Estela Rubio-Gozalbo
- Department of Clinical Genetics, Maastricht University Medical Centre, Universiteitssingel 50, P.O. Box 616, box 16, 6200 MD, Maastricht, The Netherlands.
- GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
- Department of Pediatrics, Maastricht University Medical Centre, Maastricht, The Netherlands.
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