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Vilas A, Briso-Montiano Á, Segovia-Falquina C, Martín-Martínez A, Soriano-Sexto A, Gallego D, Ruiz-Montés V, Gámez A, Pérez B. HepG2 PMM2-CDG knockout model: A versatile platform for variant and therapeutic evaluation. Mol Genet Metab 2024; 143:108538. [PMID: 39096554 DOI: 10.1016/j.ymgme.2024.108538] [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: 02/19/2024] [Revised: 06/28/2024] [Accepted: 07/15/2024] [Indexed: 08/05/2024]
Abstract
Phosphomannomutase 2 deficiency (PMM2-CDG), the most frequent congenital disorder of glycosylation, is an autosomal recessive disease caused by biallelic pathogenic variants in the PMM2 gene. There is no cure for this multisystemic syndrome. Some of the therapeutic approaches that are currently in development include mannose-1-phosphate replacement therapy, drug repurposing, and the use of small chemical molecules to correct folding defects. Preclinical models are needed to evaluate the efficacy of treatments to overcome the high lethality of the available animal model. In addition, the number of variants with unknown significance is increasing in clinical settings. This study presents the generation of a cellular disease model by knocking out the PMM2 gene in the hepatoma HepG2 cell line using CRISPR-Cas9 gene editing. The HepG2 knockout model accurately replicates the PMM2-CDG phenotype, exhibiting a complete absence of PMM2 protein and mRNA, a 90% decrease in PMM enzymatic activity, and altered ICAM-1, LAMP1 and A1AT glycoprotein patterns. The evaluation of PMM2 disease-causing variants validates the model's utility for studying new PMM2 clinical variants, providing insights for diagnosis and potentially for evaluating therapies. A CRISPR-Cas9-generated HepG2 knockout model accurately recapitulates the PMM2-CDG phenotype, providing a valuable tool for assessing disease-causing variants and advancing therapeutic strategies.
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Affiliation(s)
- Alicia Vilas
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular-SO UAM-CSIC, Universidad Autónoma de Madrid, Campus de Cantoblanco, 28049 Madrid, Spain; U746 - CIBER de Enfermedades Raras (CIBERER), Madrid, Spain; Instituto de Investigación Sanitaria IdiPAZ, Madrid, Spain
| | - Álvaro Briso-Montiano
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular-SO UAM-CSIC, Universidad Autónoma de Madrid, Campus de Cantoblanco, 28049 Madrid, Spain; U746 - CIBER de Enfermedades Raras (CIBERER), Madrid, Spain; Instituto de Investigación Sanitaria IdiPAZ, Madrid, Spain
| | - Cristina Segovia-Falquina
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular-SO UAM-CSIC, Universidad Autónoma de Madrid, Campus de Cantoblanco, 28049 Madrid, Spain; U746 - CIBER de Enfermedades Raras (CIBERER), Madrid, Spain; Instituto de Investigación Sanitaria IdiPAZ, Madrid, Spain
| | - Arturo Martín-Martínez
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular-SO UAM-CSIC, Universidad Autónoma de Madrid, Campus de Cantoblanco, 28049 Madrid, Spain; U746 - CIBER de Enfermedades Raras (CIBERER), Madrid, Spain; Instituto de Investigación Sanitaria IdiPAZ, Madrid, Spain
| | - Alejandro Soriano-Sexto
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular-SO UAM-CSIC, Universidad Autónoma de Madrid, Campus de Cantoblanco, 28049 Madrid, Spain; U746 - CIBER de Enfermedades Raras (CIBERER), Madrid, Spain; Instituto de Investigación Sanitaria IdiPAZ, Madrid, Spain
| | - Diana Gallego
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular-SO UAM-CSIC, Universidad Autónoma de Madrid, Campus de Cantoblanco, 28049 Madrid, Spain; U746 - CIBER de Enfermedades Raras (CIBERER), Madrid, Spain; Instituto de Investigación Sanitaria IdiPAZ, Madrid, Spain
| | - Vera Ruiz-Montés
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular-SO UAM-CSIC, Universidad Autónoma de Madrid, Campus de Cantoblanco, 28049 Madrid, Spain; U746 - CIBER de Enfermedades Raras (CIBERER), Madrid, Spain; Instituto de Investigación Sanitaria IdiPAZ, Madrid, Spain
| | - Alejandra Gámez
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular-SO UAM-CSIC, Universidad Autónoma de Madrid, Campus de Cantoblanco, 28049 Madrid, Spain; U746 - CIBER de Enfermedades Raras (CIBERER), Madrid, Spain; Instituto de Investigación Sanitaria IdiPAZ, Madrid, Spain
| | - Belén Pérez
- Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular-SO UAM-CSIC, Universidad Autónoma de Madrid, Campus de Cantoblanco, 28049 Madrid, Spain; U746 - CIBER de Enfermedades Raras (CIBERER), Madrid, Spain; Instituto de Investigación Sanitaria IdiPAZ, Madrid, Spain.
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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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Radenkovic S, Ligezka AN, Mokashi SS, Driesen K, Dukes-Rimsky L, Preston G, Owuocha LF, Sabbagh L, Mousa J, Lam C, Edmondson A, Larson A, Schultz M, Vermeersch P, Cassiman D, Witters P, Beamer LJ, Kozicz T, Flanagan-Steet H, Ghesquière B, Morava E. Tracer metabolomics reveals the role of aldose reductase in glycosylation. Cell Rep Med 2023; 4:101056. [PMID: 37257447 PMCID: PMC10313913 DOI: 10.1016/j.xcrm.2023.101056] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 03/14/2023] [Accepted: 05/04/2023] [Indexed: 06/02/2023]
Abstract
Abnormal polyol metabolism is predominantly associated with diabetes, where excess glucose is converted to sorbitol by aldose reductase (AR). Recently, abnormal polyol metabolism has been implicated in phosphomannomutase 2 congenital disorder of glycosylation (PMM2-CDG) and an AR inhibitor, epalrestat, proposed as a potential therapy. Considering that the PMM2 enzyme is not directly involved in polyol metabolism, the increased polyol production and epalrestat's therapeutic mechanism in PMM2-CDG remained elusive. PMM2-CDG, caused by PMM2 deficiency, presents with depleted GDP-mannose and abnormal glycosylation. Here, we show that, apart from glycosylation abnormalities, PMM2 deficiency affects intracellular glucose flux, resulting in polyol increase. Targeting AR with epalrestat decreases polyols and increases GDP-mannose both in patient-derived fibroblasts and in pmm2 mutant zebrafish. Using tracer studies, we demonstrate that AR inhibition diverts glucose flux away from polyol production toward the synthesis of sugar nucleotides, and ultimately glycosylation. Finally, PMM2-CDG individuals treated with epalrestat show a clinical and biochemical improvement.
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Affiliation(s)
- Silvia Radenkovic
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA; Metabolomics Expertise Center, Center for Cancer Biology, VIB, 3000 Leuven, Belgium; Laboratory of Applied Mass Spectrometry, Department of Cellular and Molecular Medicine, KU Leuven, 3000 Leuven, Belgium; Laboratory of Hepatology, Department of CHROMETA, KU Leuven, 3000 Leuven, Belgium.
| | - Anna N Ligezka
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA; Department of Medical Diagnostics, Faculty of Pharmacy, Jagiellonian University Medical College, Krakow, Poland
| | - Sneha S Mokashi
- JC Self Research Institute, Greenwood Genetic Center, Greenwood, SC 29646, USA
| | - Karen Driesen
- Metabolomics Expertise Center, Center for Cancer Biology, VIB, 3000 Leuven, Belgium; Laboratory of Applied Mass Spectrometry, Department of Cellular and Molecular Medicine, KU Leuven, 3000 Leuven, Belgium; Department of Development and Regeneration, Faculty of Medicine, KU Leuven, Leuven, Belgium
| | - Lynn Dukes-Rimsky
- JC Self Research Institute, Greenwood Genetic Center, Greenwood, SC 29646, USA
| | - Graeme Preston
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA
| | - Luckio F Owuocha
- Department of Biochemistry, 117 Schweitzer Hall, University of Missouri, Columbia, MO 65211, USA
| | - Leila Sabbagh
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA
| | - Jehan Mousa
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA
| | - Christina Lam
- Division of Genetic Medicine, Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA; Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA, USA
| | - Andrew Edmondson
- Section of Biochemical Genetics, Division of Human Genetics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Austin Larson
- Section of Clinical Genetics and Metabolism, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Matthew Schultz
- Biochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | | - David Cassiman
- Laboratory of Hepatology, Department of CHROMETA, KU Leuven, 3000 Leuven, Belgium; Metabolic Center, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Peter Witters
- Metabolic Center, University Hospitals Leuven, 3000 Leuven, Belgium; Department of Development and Regeneration, Faculty of Medicine, KU Leuven, Leuven, Belgium
| | - Lesa J Beamer
- Department of Biochemistry, 117 Schweitzer Hall, University of Missouri, Columbia, MO 65211, USA
| | - Tamas Kozicz
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA; Biochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA; Department of Anatomy and Department of Genetics, University of Pecs Medical School, Pecs, Hungary
| | | | - Bart Ghesquière
- Metabolomics Expertise Center, Center for Cancer Biology, VIB, 3000 Leuven, Belgium; Laboratory of Applied Mass Spectrometry, Department of Cellular and Molecular Medicine, KU Leuven, 3000 Leuven, Belgium
| | - Eva Morava
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA; Biochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA; Metabolic Center, University Hospitals Leuven, 3000 Leuven, Belgium; Department of Anatomy and Department of Genetics, University of Pecs Medical School, Pecs, Hungary.
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Brasil S, Allocca M, Magrinho SCM, Santos I, Raposo M, Francisco R, Pascoal C, Martins T, Videira PA, Pereira F, Andreotti G, Jaeken J, Kantautas KA, Perlstein EO, Ferreira VDR. Systematic Review: Drug Repositioning for Congenital Disorders of Glycosylation (CDG). Int J Mol Sci 2022; 23:ijms23158725. [PMID: 35955863 PMCID: PMC9369176 DOI: 10.3390/ijms23158725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/02/2022] [Accepted: 08/02/2022] [Indexed: 11/24/2022] Open
Abstract
Advances in research have boosted therapy development for congenital disorders of glycosylation (CDG), a group of rare genetic disorders affecting protein and lipid glycosylation and glycosylphosphatidylinositol anchor biosynthesis. The (re)use of known drugs for novel medical purposes, known as drug repositioning, is growing for both common and rare disorders. The latest innovation concerns the rational search for repositioned molecules which also benefits from artificial intelligence (AI). Compared to traditional methods, drug repositioning accelerates the overall drug discovery process while saving costs. This is particularly valuable for rare diseases. AI tools have proven their worth in diagnosis, in disease classification and characterization, and ultimately in therapy discovery in rare diseases. The availability of biomarkers and reliable disease models is critical for research and development of new drugs, especially for rare and heterogeneous diseases such as CDG. This work reviews the literature related to repositioned drugs for CDG, discovered by serendipity or through a systemic approach. Recent advances in biomarkers and disease models are also outlined as well as stakeholders’ views on AI for therapy discovery in CDG.
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Affiliation(s)
- Sandra Brasil
- UCIBIO—Applied Molecular Biosciences Unit, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, School of Science and Technology, Nova University of Lisbon, 2829-516 Caparica, Portugal
- CDG & Allies PPAIN—Professionals and Patient Associations International Network, Department of Life Sciences, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
| | - Mariateresa Allocca
- CDG & Allies PPAIN—Professionals and Patient Associations International Network, Department of Life Sciences, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
- Institute of Biomolecular Chemistry, National Research Council of Italy, 80078 Pozzuoli, Italy
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania “Luigi Vanvitelli”, 81100 Caserta, Italy
| | - Salvador C. M. Magrinho
- UCIBIO—Applied Molecular Biosciences Unit, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, School of Science and Technology, Nova University of Lisbon, 2829-516 Caparica, Portugal
- CDG & Allies PPAIN—Professionals and Patient Associations International Network, Department of Life Sciences, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
- LAQV-Requimte, Chemistry Department, School of Science and Technology, Nova University of Lisbon, 2819-516 Caparica, Portugal
| | - Inês Santos
- CDG & Allies PPAIN—Professionals and Patient Associations International Network, Department of Life Sciences, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
- Sci and Volunteer Program from School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
| | - Madalena Raposo
- CDG & Allies PPAIN—Professionals and Patient Associations International Network, Department of Life Sciences, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
- Sci and Volunteer Program from School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
| | - Rita Francisco
- UCIBIO—Applied Molecular Biosciences Unit, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, School of Science and Technology, Nova University of Lisbon, 2829-516 Caparica, Portugal
- CDG & Allies PPAIN—Professionals and Patient Associations International Network, Department of Life Sciences, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
| | - Carlota Pascoal
- UCIBIO—Applied Molecular Biosciences Unit, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, School of Science and Technology, Nova University of Lisbon, 2829-516 Caparica, Portugal
- CDG & Allies PPAIN—Professionals and Patient Associations International Network, Department of Life Sciences, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
| | - Tiago Martins
- CDG & Allies PPAIN—Professionals and Patient Associations International Network, Department of Life Sciences, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
- Sci and Volunteer Program from School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
| | - Paula A. Videira
- UCIBIO—Applied Molecular Biosciences Unit, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, School of Science and Technology, Nova University of Lisbon, 2829-516 Caparica, Portugal
- CDG & Allies PPAIN—Professionals and Patient Associations International Network, Department of Life Sciences, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
| | - Florbela Pereira
- CDG & Allies PPAIN—Professionals and Patient Associations International Network, Department of Life Sciences, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
- LAQV-Requimte, Chemistry Department, School of Science and Technology, Nova University of Lisbon, 2819-516 Caparica, Portugal
| | - Giuseppina Andreotti
- Institute of Biomolecular Chemistry, National Research Council of Italy, 80078 Pozzuoli, Italy
| | - Jaak Jaeken
- CDG & Allies PPAIN—Professionals and Patient Associations International Network, Department of Life Sciences, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
- Center for Metabolic Diseases, Department of Pediatrics, KU Leuven, 3000 Leuven, Belgium
| | | | | | - Vanessa dos Reis Ferreira
- UCIBIO—Applied Molecular Biosciences Unit, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, School of Science and Technology, Nova University of Lisbon, 2829-516 Caparica, Portugal
- CDG & Allies PPAIN—Professionals and Patient Associations International Network, Department of Life Sciences, School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal
- Correspondence:
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