1
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Chen Y, Shen H, Wang Z, Huang C, Zhang H, Shao Y, Tong Y, Xu L, Lu Y, Fu Z. Recruitment of USP10 by GCS1 to deubiquitinate GRP78 promotes the progression of colorectal cancer via alleviating endoplasmic reticulum stress. J Exp Clin Cancer Res 2024; 43:261. [PMID: 39267084 PMCID: PMC11396530 DOI: 10.1186/s13046-024-03176-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Accepted: 08/28/2024] [Indexed: 09/14/2024] Open
Abstract
BACKGROUND Long-term accumulation of misfolded proteins leads to endoplasmic reticulum (ER) stress in colorectal cancer (CRC). However, the precise pathways controlling the decision between survival and apoptosis in CRC are unclear. Therefore, in this study, we investigated the function and molecular mechanism of glucosidase I (GCS1) in regulating ER stress in CRC. METHODS A public database was used to confirm the expression level of GCS1 in CRC and normal tissues. Clinical samples from our center were used to confirm the mRNA and protein expression levels of GCS1. Cell proliferation, migration, invasion, and apoptosis assays revealed the biological role of GCS1. Immunohistochemical techniques were used to evaluate the expression of key proteins in subcutaneous implanted tumors in nude mice, which provided further evidence for the biological function of GCS1 in promoting cancer in vivo. The results of coimmunoprecipitation-mass spectrometry analysis and immunofluorescence colocalization analysis the interaction between GCS1 and GRP78. In addition, the mechanism of action of USP10, GRP78, and GCS1 at the post- translational level was investigated. Finally, a tissue microarray was used to examine the connection between GCS1 and GRP78 expression and intracellular localization of these proteins using immunohistochemistry and immunofluorescence. RESULTS The experimental results revealed that GCS1 was substantially expressed in CRC, with higher expression indicating a worse prognosis. Thus, GCS1 can enhance the proliferation and metastasis while inhibiting the apoptosis of CRC cells both in vivo and in vitro. Mechanistically, GCS1 binds to GRP78, recruits USP10 for deubiquitination of GRP78 to promote its degradation, and decreases ER stress-mediated apoptosis, increasing CRC cell proliferation and metastasis. CONCLUSIONS In summary, GCS1 stimulates CRC growth and migration and reduces ER stress-mediated apoptosis via USP10-mediated deubiquitination of GRP78. Our findings identify a possible therapeutic target for CRC.
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Affiliation(s)
- Yang Chen
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu, 210009, P.R. China
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hengyang Shen
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu, 210009, P.R. China
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Zhenling Wang
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu, 210009, P.R. China
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Changzhi Huang
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu, 210009, P.R. China
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hongqiang Zhang
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu, 210009, P.R. China
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yu Shao
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu, 210009, P.R. China
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Ying Tong
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu, 210009, P.R. China
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Lei Xu
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu, 210009, P.R. China
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yunfei Lu
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu, 210009, P.R. China
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Zan Fu
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu, 210009, P.R. China.
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
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2
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Teutonico F, Volpe C, Proto A, Costi I, Cavallari U, Doneda P, Iascone M, Sturiale L, Barone R, Martinelli S, Vignoli A. Early onset epileptic and developmental encephalopathy and MOGS variants: a new diagnosis in the whole exome sequencing (WES) ERA : Report of a new patient and review of the literature. Neurogenetics 2024; 25:281-286. [PMID: 38498292 DOI: 10.1007/s10048-024-00754-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 03/07/2024] [Indexed: 03/20/2024]
Abstract
Mannosyl-oligosaccharide glucosidase - congenital disorder of glycosylation (MOGS-CDG) is determined by biallelic mutations in the mannosyl-oligosaccharide glucosidase (glucosidase I) gene. MOGS-CDG is a rare disorder affecting the processing of N-Glycans (CDG type II) and is characterized by prominent neurological involvement including hypotonia, developmental delay, seizures and movement disorders. To the best of our knowledge, 30 patients with MOGS-CDG have been published so far. We described a child who is compound heterozygous for two novel variants in the MOGS gene. He presented Early Infantile Developmental and Epileptic Encephalopathy (EI-DEE) in the absence of other specific systemic involvement and unrevealing first-line biochemical findings. In addition to the previously described features, the patient presented a Hirschprung disease, never reported before in individuals with MOGS-CDG.
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Affiliation(s)
- Federica Teutonico
- Childhood and Adolescence Neurology and Psychiatry Unit, ASST GOM Niguarda, Milan, Italy
| | - Clara Volpe
- Health Sciences Department, University of Milan, Milan, Italy
| | - Alice Proto
- Neonatal Intensive Care Unit, Maternal Infant Department, ASST GOM Niguarda, Milan, Italy
| | - Ilaria Costi
- Neurophysiology Unit, Department of Neuroscience, ASST GOM Niguarda, Milan, Italy
| | - Ugo Cavallari
- Medical Genetics Unit, ASST GOM Niguarda, Milan, Italy
| | - Paola Doneda
- Neuroradiology Unit, ASST GOM Niguarda, Milan, Italy
| | - Maria Iascone
- Medical Genetics Unit, Papa Giovanni XXIII Hospital, Bergamo, Italy
| | - Luisella Sturiale
- CNR - Institute for Polymers, Composites and Biomaterials, Catania, Italy
| | - Rita Barone
- CNR - Institute for Polymers, Composites and Biomaterials, Catania, Italy
- Child Neuropsychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Stefano Martinelli
- Neonatal Intensive Care Unit, Maternal Infant Department, ASST GOM Niguarda, Milan, Italy
| | - Aglaia Vignoli
- Childhood and Adolescence Neurology and Psychiatry Unit, ASST GOM Niguarda, Milan, Italy.
- Health Sciences Department, University of Milan, Milan, Italy.
- Health Sciences Department, University of Milan, Via di Rudinì 8, Milan, 20142, Italy.
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3
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Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2021-2022. MASS SPECTROMETRY REVIEWS 2024. [PMID: 38925550 DOI: 10.1002/mas.21873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/05/2024] [Accepted: 02/12/2024] [Indexed: 06/28/2024]
Abstract
The use of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry for the analysis of carbohydrates and glycoconjugates is a well-established technique and this review is the 12th update of the original article published in 1999 and brings coverage of the literature to the end of 2022. As with previous review, this review also includes a few papers that describe methods appropriate to analysis by MALDI, such as sample preparation, even though the ionization method is not MALDI. The review follows the same format as previous reviews. It is divided into three sections: (1) general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation, quantification and the use of computer software for structural identification. (2) Applications to various structural types such as oligo- and polysaccharides, glycoproteins, glycolipids, glycosides and biopharmaceuticals, and (3) other general areas such as medicine, industrial processes, natural products and glycan synthesis where MALDI is extensively used. Much of the material relating to applications is presented in tabular form. MALDI is still an ideal technique for carbohydrate analysis, particularly in its ability to produce single ions from each analyte and advancements in the technique and range of applications show little sign of diminishing.
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4
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Lee HF, Chi CS. Congenital disorders of glycosylation and infantile epilepsy. Epilepsy Behav 2023; 142:109214. [PMID: 37086590 DOI: 10.1016/j.yebeh.2023.109214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 04/01/2023] [Accepted: 04/04/2023] [Indexed: 04/24/2023]
Abstract
Congenital disorders of glycosylation (CDG) are a group of rare inherited metabolic disorders caused by defects in various defects of protein or lipid glycosylation pathways. The symptoms and signs of CDG usually develop in infancy. Epilepsy is commonly observed in CDG individuals and is often a presenting symptom. These epilepsies can present across the lifespan, share features of refractoriness to antiseizure medications, and are often associated with comorbid developmental delay, psychomotor regression, intellectual disability, and behavioral problems. In this review, we discuss CDG and infantile epilepsy, focusing on an overview of clinical manifestations and electroencephalographic features. Finally, we propose a tiered approach that will permit a clinician to systematically investigate and identify CDG earlier, and furthermore, to provide genetic counseling for the family.
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Affiliation(s)
- Hsiu-Fen Lee
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, 145, Xingda Rd., Taichung 402, Taiwan; Division of Pediatric Neurology, Children's Medical Center, Taichung Veterans General Hospital, 1650, Taiwan Boulevard Sec. 4, Taichung 407, Taiwan.
| | - Ching-Shiang Chi
- Division of Pediatric Neurology, Children's Medical Center, Taichung Veterans General Hospital, 1650, Taiwan Boulevard Sec. 4, Taichung 407, Taiwan.
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5
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Post MA, de Wit I, Zijlstra FSM, Engelke UFH, van Rooij A, Christodoulou J, Tan TY, Le Fevre A, Jin D, Yaplito-Lee J, Lee BH, Low KJ, Mallick AA, Õunap K, Pitt J, Reardon W, Vals MA, Wortmann SB, Wessels HJCT, Bärenfänger M, van Karnebeek CDM, Lefeber DJ. MOGS-CDG: Quantitative analysis of the diagnostic Glc 3 Man tetrasaccharide and clinical spectrum of six new cases. J Inherit Metab Dis 2023; 46:313-325. [PMID: 36651519 DOI: 10.1002/jimd.12588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 01/11/2023] [Accepted: 01/12/2023] [Indexed: 01/19/2023]
Abstract
Congenital disorders of glycosylation (CDG) are a clinically and biochemically heterogeneous subgroup of inherited metabolic disorders. Most CDG with abnormal N-glycosylation can be detected by transferrin screening, however, MOGS-CDG escapes this routine screening. Combined with the clinical heterogeneity of reported cases, diagnosing MOGS-CDG can be challenging. Here, we clinically characterize ten MOGS-CDG cases including six previously unreported individuals, showing a phenotype characterized by dysmorphic features, global developmental delay, muscular hypotonia, and seizures in all patients and in a minority vision problems and hypogammaglobulinemia. Glycomics confirmed accumulation of a Glc3 Man7 GlcNAc2 glycan in plasma. For quantification of the diagnostic Glcα1-3Glcα1-3Glcα1-2Man tetrasaccharide in urine, we developed and validated a liquid chromatography-mass spectrometry method of 2-aminobenzoic acid (2AA) labeled urinary glycans. As an internal standard, isotopically labeled 13 C6 -2AA Glc3 Man was used, while labeling efficiency was controlled by use of 12 C6 -2AA and 13 C6 -2AA labeled laminaritetraose. Recovery, linearity, intra- and interassay coefficients of variability of these labeled compounds were determined. Furthermore, Glc3 Man was specifically identified by retention time matching against authentic MOGS-CDG urine and compared with Pompe urine. Glc3 Man was increased in all six analyzed cases, ranging from 34.1 to 618.0 μmol/mmol creatinine (reference <5 μmol). In short, MOGS-CDG has a broad manifestation of symptoms but can be diagnosed with the use of a quantitative method for analysis of urinary Glc3 Man excretion.
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Affiliation(s)
- Merel A Post
- Department of Neurology, Donders institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Isis de Wit
- Department of Pediatrics, Amalia Children's Hospital, Radboud University Medical Center, Nijmegen, The Netherlands
- On behalf of United for Metabolic Diseases, Amsterdam, The Netherlands
| | - Fokje S M Zijlstra
- Translational Metabolic Laboratory, Department of Laboratory Medicine, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Udo F H Engelke
- Translational Metabolic Laboratory, Department of Laboratory Medicine, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Arno van Rooij
- Translational Metabolic Laboratory, Department of Laboratory Medicine, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - John Christodoulou
- Genomic Medicine Research Theme, Murdoch Children's Research Institute and Department of Pediatrics, University of Melbourne, Melbourne, Australia
| | - Tiong Yang Tan
- Genomic Medicine Research Theme, Murdoch Children's Research Institute and Department of Pediatrics, University of Melbourne, Melbourne, Australia
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Australia
| | - Anna Le Fevre
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Australia
| | - Danqun Jin
- Pediatric Intensive Care Unit, Anhui Provincial Children's Hospital, Hefei, China
| | - Joy Yaplito-Lee
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Australia
- Department of Metabolic Medicine, The Royal Children's Hospital Melbourne, Parkville, Australia
| | - Beom Hee Lee
- Department of Pediatrics, Asan Medical Center Children's Hospital, University of Ulsan College of Medicine, Seoul, South Korea
| | - Karen J Low
- School of Clinical Sciences, University of Bristol, Bristol, UK
- Clinical Genetics, St. Michael's Hospital, University Hospitals NHS Trust, Bristol, UK
| | - Andrew A Mallick
- Department of Pediatric Neurology, Bristol Royal Hospital for Children, Bristol, UK
| | - Katrin Õunap
- Department of Clinical Genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, Tartu, Estonia
- Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | - James Pitt
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Australia
| | - William Reardon
- Clinical Genetics, Children's Health Ireland (CHI), Crumlin, Ireland
| | - Mari-Anne Vals
- Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
- Children's Clinic, Tartu University Hospital, Tartu, Estonia
| | - Saskia B Wortmann
- Department of Pediatrics, Amalia Children's Hospital, Radboud University Medical Center, Nijmegen, The Netherlands
- University Children's Hospital, Paracelsus Medical University, Salzburg, Austria
| | - Hans J C T Wessels
- Translational Metabolic Laboratory, Department of Laboratory Medicine, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Melissa Bärenfänger
- Department of Neurology, Donders institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
- Division of Bioanalytical Chemistry, VU Amsterdam, Amsterdam, The Netherlands
| | - Clara D M van Karnebeek
- Department of Pediatrics, Amalia Children's Hospital, Radboud University Medical Center, Nijmegen, The Netherlands
- On behalf of United for Metabolic Diseases, Amsterdam, The Netherlands
- Departments of Pediatrics and Human Genetics, Emma Center for Personalized Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Dirk J Lefeber
- Department of Neurology, Donders institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
- On behalf of United for Metabolic Diseases, Amsterdam, The Netherlands
- Translational Metabolic Laboratory, Department of Laboratory Medicine, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
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6
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Paprocka J. Neurological Consequences of Congenital Disorders of Glycosylation. ADVANCES IN NEUROBIOLOGY 2023; 29:219-253. [PMID: 36255677 DOI: 10.1007/978-3-031-12390-0_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The chapter is devoted to neurological aspects of congenital disorders of glycosylation (CDG). At the beginning, the various types of CDG with neurological presentation of symptoms are summarized. Then, the occurrence of various neurological constellation of abnormalities (for example: epilepsy, brain anomalies on neuroimaging, ataxia, stroke-like episodes, autistic features) in different CDG types are discussed followed by data on possible biomarkers and limited treatment options.
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Affiliation(s)
- Justyna Paprocka
- Department of Pediatric Neurology, Faculty of Medical Sciences, Medical University of Silesia, Katowice, Poland.
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7
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Abuduxikuer K, Wang L, Zou L, Cao CY, Yu L, Guo HM, Liang XM, Wang JS, Chen L. Updated clinical and glycomic features of mannosyl-oligosaccharide glucosidase deficiency: Two case reports. World J Clin Cases 2022; 10:7397-7408. [PMID: 36158009 PMCID: PMC9353930 DOI: 10.12998/wjcc.v10.i21.7397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 09/16/2021] [Accepted: 06/17/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Mannosyl-oligosaccharide glucosidase (MOGS) deficiency is an extremely rare type of congenital disorder of glycosylation (CDG), with only 12 reported cases. Its clinical, genetic, and glycomic features are still expanding. Our aim is to update the novel clinical and glycosylation features of 2 previously reported patients with MOGS-CDG.
CASE SUMMARY We collected comprehensive clinical information, and conducted the immunoglobulin G1 glycosylation assay using nano-electrospray ionization source quadruple time-of-flight mass spectrometry. Novel dysmorphic features included an enlarged tongue, forwardly rotated earlobes, a birth mark, overlapped toes, and abnormal fat distribution. Novel imaging findings included pericardial effusion, a deep interarytenoid groove, mild congenital subglottic stenosis, and laryngomalacia. Novel laboratory findings included peripheral leukocytosis with neutrophil predominance, elevated C-reactive protein and creatine kinase, dyslipidemia, coagulopathy, complement 3 and complement 4 deficiencies, decreased proportions of T lymphocytes and natural killer cells, and increased serum interleukin 6. Glycosylation studies showed a significant increase of hypermannosylated glycopeptides (Glc3Man7GlcNAc2/N2H10 and Man5GlcNAc2/N2H5) and hypersialylated glycopeptides. A compensatory glycosylation pathway leading to an increase in Man5GlcNAc2/N2H5 was indicated with the glycosylation profile.
CONCLUSION We confirmed abnormal glycomics in 1 patient, expanding the clinical and glycomic spectrum of MOGS-CDG. We also postulated a compensatory glycosylation pathway, leading to a possible serum biomarker for future diagnosis.
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Affiliation(s)
| | - Lei Wang
- Department of Research and Development, SysDiagno Biomedtech, Nanjing 211800, Jiangsu Province, China
| | - Lin Zou
- Department of Medical Microbiology, Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Cui-Yan Cao
- Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, Liaoning Province, China
| | - Long Yu
- Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, Liaoning Province, China
| | - Hong-Mei Guo
- Department of Gastroenterology, Children's Hospital Affiliated to Nanjing Medical University, Nanjing 210008, Jiangsu Province, China
| | - Xin-Miao Liang
- Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, Liaoning Province, China
| | - Jian-She Wang
- Department of Hepatology, Children's Hospital of Fudan University, Shanghai 201102, China
| | - Li Chen
- Department of Medical Microbiology, Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
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8
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Shimada S, Ng BG, White AL, Nickander KK, Turgeon C, Liedtke KL, Lam CT, Font-Montgomery E, Lourenço CM, He M, Peck DS, Umaña LA, Uhles CL, Haynes D, Wheeler PG, Bamshad MJ, Nickerson DA, Cushing T, Gates R, Gomez-Ospina N, Byers HM, Scalco FB, Martinez NN, Sachdev R, Smith L, Poduri A, Malone S, Harris R, Scheffer IE, Rosenzweig SD, Adams DR, Gahl WA, Malicdan MCV, Raymond KM, Freeze HH, Wolfe LA. Clinical, biochemical and genetic characteristics of MOGS-CDG: a rare congenital disorder of glycosylation. J Med Genet 2022; 59:jmedgenet-2021-108177. [PMID: 35790351 PMCID: PMC9813274 DOI: 10.1136/jmedgenet-2021-108177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 04/18/2022] [Indexed: 01/07/2023]
Abstract
PURPOSE To summarise the clinical, molecular and biochemical phenotype of mannosyl-oligosaccharide glucosidase-related congenital disorders of glycosylation (MOGS-CDG), which presents with variable clinical manifestations, and to analyse which clinical biochemical assay consistently supports diagnosis in individuals with bi-allelic variants in MOGS. METHODS Phenotypic characterisation was performed through an international and multicentre collaboration. Genetic testing was done by exome sequencing and targeted arrays. Biochemical assays on serum and urine were performed to delineate the biochemical signature of MOGS-CDG. RESULTS Clinical phenotyping revealed heterogeneity in MOGS-CDG, including neurological, immunological and skeletal phenotypes. Bi-allelic variants in MOGS were identified in 12 individuals from 11 families. The severity in each organ system was variable, without definite genotype correlation. Urine oligosaccharide analysis was consistently abnormal for all affected probands, whereas other biochemical analyses such as serum transferrin analysis was not consistently abnormal. CONCLUSION The clinical phenotype of MOGS-CDG includes multisystemic involvement with variable severity. Molecular analysis, combined with biochemical testing, is important for diagnosis. In MOGS-CDG, urine oligosaccharide analysis via matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry can be used as a reliable biochemical test for screening and confirmation of disease.
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Affiliation(s)
- Shino Shimada
- Medical Genetic Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Undiagnosed Diseases Program, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Bobby G. Ng
- Human Genetics Program, Sanford Burnham Prebys, La Jolla, CA, USA
| | - Amy L. White
- Biochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Kim. K. Nickander
- Biochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Coleman Turgeon
- Biochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Kristen L. Liedtke
- Biochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Christina T. Lam
- Division of Genetic Medicine, Department of Pediatrics, Seattle Children’s Hospital and University of Washington, Seattle, WA, USA
| | | | - Charles M. Lourenço
- Faculdade de Medicina, Centro Universitario Estácio de Ribeirão Preto, Ribeirão Preto, SP, Brazil
- Neurogenetics Unit, Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, SP, Brazil
| | - Miao He
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Dawn S. Peck
- Biochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Luis A. Umaña
- Division of Genetics and Metabolism, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Crescenda L. Uhles
- Department of Genetics, Children’s Medical Center Dallas, Dallas, TX, USA
| | - Devon Haynes
- Division of Genetics, Arnold Palmer Hospital for Children, Orlando Health, Orlando, FL, USA
| | - Patricia G. Wheeler
- Division of Genetics, Arnold Palmer Hospital for Children, Orlando Health, Orlando, FL, USA
| | - Michael J. Bamshad
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | | | - Tom Cushing
- Division of Pediatric Genetics, Department of Pediatrics, School of Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Ryan Gates
- Division of Medical Genetics, Stanford University, Stanford, CA, USA
| | | | - Heather M. Byers
- Division of Medical Genetics, Stanford University, Stanford, CA, USA
| | | | - Fernanda B. Scalco
- Laboratório de Erros Inatos do Metabolismo/LABEIM, Instituto de Química, Universidade Federal do Rio de Janeiro, Departamento de Bioquímica, Avenida Horácio Macedo, 1281, Bloco C, Polo de Química, Cidade Universitária, Rio de Janeiro, RJ, Brazil
| | - Noelia N. Martinez
- Center for Clinical Genetics, Sydney Children’s Hospital-Randwick, Sydney, New South Wales, Australia
| | - Rani Sachdev
- Center for Clinical Genetics, Sydney Children’s Hospital-Randwick, Sydney, New South Wales, Australia
- School of Women’s & Children’s Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Lacey Smith
- Department of Neurology, Boston Children’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Annapurna Poduri
- Department of Neurology, Boston Children’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Stephen Malone
- Department of Neurosciences, Queensland Children’s Hospital, Brisbane, Queensland, Australia
| | - Rebekah Harris
- Department of Medicine, University of Melbourne, Austin Health, Heidelberg, VIC, Australia
| | - Ingrid E. Scheffer
- Department of Medicine, University of Melbourne, Austin Health, Heidelberg, VIC, Australia
- Department of Pediatrics, The University of Melbourne, Royal Children’s Hospital, Parkville, VIC, Australia
- Murdoch Children’s Research Institute and Florey Institute, Melbourne, VIC, Australia
| | - Sergio D. Rosenzweig
- Department of Laboratory Medicine, Clinical Center, and Primary Immunodeficiency Clinic, National Institute of Allergy and Infectious Diseases, National Institute of Health, Bethesda, MD, USA
| | - David R. Adams
- Medical Genetic Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Undiagnosed Diseases Program, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - William A. Gahl
- Medical Genetic Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Undiagnosed Diseases Program, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - May CV. Malicdan
- Medical Genetic Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Undiagnosed Diseases Program, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Senior authors and contributed equally
| | - Kimiyo M. Raymond
- Biochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
- Senior authors and contributed equally
| | - Hudson H. Freeze
- Human Genetics Program, Sanford Burnham Prebys, La Jolla, CA, USA
- Senior authors and contributed equally
| | - Lynne A. Wolfe
- Medical Genetic Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Undiagnosed Diseases Program, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Senior authors and contributed equally
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9
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Emerging roles of endoplasmic reticulum proteostasis in brain development. Cells Dev 2022; 170:203781. [DOI: 10.1016/j.cdev.2022.203781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 04/12/2022] [Accepted: 04/20/2022] [Indexed: 11/21/2022]
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10
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Liver Involvement in Congenital Disorders of Glycosylation: A Systematic Review. J Pediatr Gastroenterol Nutr 2021; 73:444-454. [PMID: 34173795 PMCID: PMC9255677 DOI: 10.1097/mpg.0000000000003209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
An ever-increasing number of disturbances in glycosylation have been described to underlie certain unexplained liver diseases presenting either almost isolated or in a multi-organ context. We aimed to update previous literature screenings which had identified up to 23 forms of congenital disorders of glycosylation (CDG) with associated liver disease. We conducted a comprehensive literature search of three scientific electronic databases looking at articles published during the last 20 years (January 2000-October 2020). Eligible studies were case reports/series reporting liver involvement in CDG patients. Our systematic review led us to point out 41 forms of CDG where the liver is primarily affected (n = 7) or variably involved in a multisystem disease with mandatory neurological abnormalities (n = 34). Herein we summarize individual clinical and laboratory presentation characteristics of these 41 CDG and outline their main presentation and diagnostic cornerstones with the aid of two synoptic tables. Dietary supplementation strategies have hitherto been investigated only in seven of these CDG types with liver disease, with a wide range of results. In conclusion, the systematic review recognized a liver involvement in a somewhat larger number of CDG variants corresponding to about 30% of the total of CDG so far reported, and it is likely that the number may increase further. This information could assist in an earlier correct diagnosis and a possibly proper management of these disorders.
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11
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Pajusalu S, Vals MA, Mihkla L, Šamarina U, Kahre T, Õunap K. The Estimated Prevalence of N-Linked Congenital Disorders of Glycosylation Across Various Populations Based on Allele Frequencies in General Population Databases. Front Genet 2021; 12:719437. [PMID: 34447415 PMCID: PMC8383291 DOI: 10.3389/fgene.2021.719437] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 07/21/2021] [Indexed: 01/16/2023] Open
Abstract
Congenital disorders of glycosylation (CDG) are a widely acknowledged group of metabolic diseases. PMM2-CDG is the most frequently diagnosed CDG with a prevalence as high as one in 20,000. In contrast, the prevalence of other CDG types remains unknown. This study aimed to analyze the estimated prevalence of different N-linked protein glycosylation disorders. We extracted allele frequencies for diverse populations from The Genome Aggregation Database (gnomAD), encompassing variant frequency information from 141,456 individuals. To identify pathogenic variants, we used the ClinVar database as a primary source. High confidence loss-of-function variants as defined by the LOFTEE algorithm were also classified as pathogenic. After summing up population frequencies for pathogenic alleles, estimated disease birth prevalence values with confidence intervals were calculated using the Bayesian method. We first validated our approach using two more common recessive disorders (cystic fibrosis and phenylketonuria) by showing that the estimated prevalences calculated from population allele frequencies were in accordance with previously published epidemiological studies. Among assessed 27 autosomal recessive N-glycosylation disorders, the only disease with estimated birth prevalence higher than one in 100,000 was PMM2-CDG (in both, all gnomAD individuals and those with European ancestry). The combined prevalence of 27 different N-glycosylation disorders was around one in 22,000 Europeans but varied considerably across populations. We will show estimated prevalence data from diverse populations and explain the possible pitfalls of this analysis. Still, we are confident that these data will guide CDG research and clinical care to identify CDG across populations.
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Affiliation(s)
- Sander Pajusalu
- Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.,Department of Clinical Genetics, United Laboratories, Tartu University Hospital, Tartu, Estonia
| | - Mari-Anne Vals
- Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.,Children's Clinic, Tartu University Hospital, Tartu, Estonia
| | - Laura Mihkla
- Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.,Department of Clinical Genetics, United Laboratories, Tartu University Hospital, Tartu, Estonia
| | - Ustina Šamarina
- Department of Clinical Genetics, United Laboratories, Tartu University Hospital, Tartu, Estonia
| | - Tiina Kahre
- Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.,Department of Clinical Genetics, United Laboratories, Tartu University Hospital, Tartu, Estonia
| | - Katrin Õunap
- Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.,Department of Clinical Genetics, United Laboratories, Tartu University Hospital, Tartu, Estonia
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12
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Paprocka J, Jezela-Stanek A, Tylki-Szymańska A, Grunewald S. Congenital Disorders of Glycosylation from a Neurological Perspective. Brain Sci 2021; 11:brainsci11010088. [PMID: 33440761 PMCID: PMC7827962 DOI: 10.3390/brainsci11010088] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Revised: 01/01/2021] [Accepted: 01/04/2021] [Indexed: 12/11/2022] Open
Abstract
Most plasma proteins, cell membrane proteins and other proteins are glycoproteins with sugar chains attached to the polypeptide-glycans. Glycosylation is the main element of the post-translational transformation of most human proteins. Since glycosylation processes are necessary for many different biological processes, patients present a diverse spectrum of phenotypes and severity of symptoms. The most frequently observed neurological symptoms in congenital disorders of glycosylation (CDG) are: epilepsy, intellectual disability, myopathies, neuropathies and stroke-like episodes. Epilepsy is seen in many CDG subtypes and particularly present in the case of mutations in the following genes: ALG13, DOLK, DPAGT1, SLC35A2, ST3GAL3, PIGA, PIGW, ST3GAL5. On brain neuroimaging, atrophic changes of the cerebellum and cerebrum are frequently seen. Brain malformations particularly in the group of dystroglycanopathies are reported. Despite the growing number of CDG patients in the world and often neurological symptoms dominating in the clinical picture, the number of performed screening tests eg transferrin isoforms is systematically decreasing as broadened genetic testing is recently more favored. The aim of the review is the summary of selected neurological symptoms in CDG described in the literature in one paper. It is especially important for pediatric neurologists not experienced in the field of metabolic medicine. It may help to facilitate the diagnosis of this expanding group of disorders. Biochemically, this paper focuses on protein glycosylation abnormalities.
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Affiliation(s)
- Justyna Paprocka
- Department of Pediatric Neurology, Faculty of Medical Science in Katowice, Medical University of Silesia, 40-752 Katowice, Poland
- Correspondence: ; Tel.: +48-606-415-888
| | - Aleksandra Jezela-Stanek
- Department of Genetics and Clinical Immunology, National Institute of Tuberculosis and Lung Diseases, 01-138 Warsaw, Poland;
| | - Anna Tylki-Szymańska
- Department of Pediatrics, Nutrition and Metabolic Diseases, The Children’s Memorial Health Institute, W 04-730 Warsaw, Poland;
| | - Stephanie Grunewald
- NIHR Biomedical Research Center (BRC), Metabolic Unit, Great Ormond Street Hospital and Institute of Child Health, University College London, London SE1 9RT, UK;
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