TY - JOUR
T1 - Systematic Review
T2 - Drug Repositioning for Congenital Disorders of Glycosylation (CDG)
AU - Brasil, Sandra
AU - Allocca, Mariateresa
AU - Magrinho, Salvador C.M.
AU - Santos, Inês
AU - Raposo, Madalena
AU - Francisco, Rita
AU - Pascoal, Carlota
AU - Martins, Tiago
AU - Videira, Paula A.
AU - Pereira, Florbela
AU - Andreotti, Giuseppina
AU - Jaeken, Jaak
AU - Kantautas, Kristin A.
AU - Perlstein, Ethan O.
AU - Ferreira, Vanessa Dos Reis
N1 - info:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F138647%2F2018/PT#
info:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F124326%2F2016/PT#
R.F. and acknowledge the funding from the Fundação para a Ciência e Tecnologia (FCT), Portugal. S.B. was supported by CDG & Allies—PAIN funding. M.A. acknowledges PhD program at the DISTABIF, Università degli Studi della Campania “Luigi Vanvitelli”, PhD fellowship POR Campania FSE 2014/2020 “Dottorati di Ricerca Con Caratterizzazione Industriale”.
PY - 2022/8/5
Y1 - 2022/8/5
N2 - 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.
AB - 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.
KW - AI in drug discovery
KW - biomarkers
KW - congenital disorders of glycosylation
KW - disease models
KW - drug repositioning
KW - orphan drugs
UR - http://www.scopus.com/inward/record.url?scp=85136343248&partnerID=8YFLogxK
U2 - 10.3390/ijms23158725
DO - 10.3390/ijms23158725
M3 - Review article
C2 - 35955863
AN - SCOPUS:85136343248
SN - 1422-0067
VL - 23
JO - International Journal of Molecular Sciences
JF - International Journal of Molecular Sciences
IS - 15
M1 - 8725
ER -