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Systematic Review: Drug Repositioning for Congenital Disorders of Glycosylation (CDG)
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 dru...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369176/ https://www.ncbi.nlm.nih.gov/pubmed/35955863 http://dx.doi.org/10.3390/ijms23158725 |
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author | Brasil, Sandra Allocca, Mariateresa Magrinho, Salvador C. M. Santos, Inês Raposo, Madalena Francisco, Rita Pascoal, Carlota Martins, Tiago Videira, Paula A. Pereira, Florbela Andreotti, Giuseppina Jaeken, Jaak Kantautas, Kristin A. Perlstein, Ethan O. Ferreira, Vanessa dos Reis |
author_facet | Brasil, Sandra Allocca, Mariateresa Magrinho, Salvador C. M. Santos, Inês Raposo, Madalena Francisco, Rita Pascoal, Carlota Martins, Tiago Videira, Paula A. Pereira, Florbela Andreotti, Giuseppina Jaeken, Jaak Kantautas, Kristin A. Perlstein, Ethan O. Ferreira, Vanessa dos Reis |
author_sort | Brasil, Sandra |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9369176 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93691762022-08-12 Systematic Review: Drug Repositioning for Congenital Disorders of Glycosylation (CDG) Brasil, Sandra Allocca, Mariateresa Magrinho, Salvador C. M. Santos, Inês Raposo, Madalena Francisco, Rita Pascoal, Carlota Martins, Tiago Videira, Paula A. Pereira, Florbela Andreotti, Giuseppina Jaeken, Jaak Kantautas, Kristin A. Perlstein, Ethan O. Ferreira, Vanessa dos Reis Int J Mol Sci Review 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. MDPI 2022-08-05 /pmc/articles/PMC9369176/ /pubmed/35955863 http://dx.doi.org/10.3390/ijms23158725 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Brasil, Sandra Allocca, Mariateresa Magrinho, Salvador C. M. Santos, Inês Raposo, Madalena Francisco, Rita Pascoal, Carlota Martins, Tiago Videira, Paula A. Pereira, Florbela Andreotti, Giuseppina Jaeken, Jaak Kantautas, Kristin A. Perlstein, Ethan O. Ferreira, Vanessa dos Reis Systematic Review: Drug Repositioning for Congenital Disorders of Glycosylation (CDG) |
title | Systematic Review: Drug Repositioning for Congenital Disorders of Glycosylation (CDG) |
title_full | Systematic Review: Drug Repositioning for Congenital Disorders of Glycosylation (CDG) |
title_fullStr | Systematic Review: Drug Repositioning for Congenital Disorders of Glycosylation (CDG) |
title_full_unstemmed | Systematic Review: Drug Repositioning for Congenital Disorders of Glycosylation (CDG) |
title_short | Systematic Review: Drug Repositioning for Congenital Disorders of Glycosylation (CDG) |
title_sort | systematic review: drug repositioning for congenital disorders of glycosylation (cdg) |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369176/ https://www.ncbi.nlm.nih.gov/pubmed/35955863 http://dx.doi.org/10.3390/ijms23158725 |
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