Literature DB >> 24193436

Aminoglycoside-Induced Premature Stop Codon Read-Through of Mucopolysaccharidosis Type I Patient Q70X and W402X Mutations in Cultured Cells.

Makoto Kamei1, Karissa Kasperski, Maria Fuller, Emma J Parkinson-Lawrence, Litsa Karageorgos, Valery Belakhov, Timor Baasov, John J Hopwood, Doug A Brooks.   

Abstract

The premature stop codon mutations, Q70X and W402X, are the most common α-L-iduronidase gene (IDUA) mutations in mucopolysaccharidosis type I (MPS I) patients. Read-through drugs have been used to suppress premature stop codons, and this can potentially be used to treat patients who have this type of mutation. We examined the effects of aminoglycoside treatment on the IDUA mutations Q70X and W402X in cultured cells and show that 4,5-disubstituted aminoglycosides induced more read-through for the W402X mutation, while 4,6-disubstituted aminoglycosides promoted more read-through for the Q70X mutation: lividomycin (4,5-disubstituted) induced a 7.8-fold increase in α-L-iduronidase enzyme activity for the W402X mutation; NB54 (4,5-disubstituted) induced a 3.7 fold increase in the amount of α-L-iduronidase enzyme activity for the W402X mutation, but had less effect on the Q70X mutation, whereas gentamicin (4,6-disubstituted) had the reverse effect on read-through for both mutations. The predicted mRNA secondary structural changes for both mutations were markedly different, which may explain these different effects on read-through for these two premature stop codons.

Entities:  

Year:  2013        PMID: 24193436      PMCID: PMC4110339          DOI: 10.1007/8904_2013_270

Source DB:  PubMed          Journal:  JIMD Rep        ISSN: 2192-8304


  67 in total

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Journal:  Hum Mutat       Date:  1992       Impact factor: 4.878

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Journal:  Hum Mol Genet       Date:  2009-01-15       Impact factor: 6.150

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Journal:  J Med Chem       Date:  2009-05-14       Impact factor: 7.446

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Journal:  Orphanet J Rare Dis       Date:  2008-09-16       Impact factor: 4.123

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Authors:  Liutao Du; Robert Damoiseaux; Shareef Nahas; Kun Gao; Hailiang Hu; Julianne M Pollard; Jimena Goldstine; Michael E Jung; Susanne M Henning; Carmen Bertoni; Richard A Gatti
Journal:  J Exp Med       Date:  2009-09-21       Impact factor: 14.307

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  7 in total

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Authors:  Nele Schwarz; Amanda-Jayne Carr; Amelia Lane; Fabian Moeller; Li Li Chen; Mònica Aguilà; Britta Nommiste; Manickam N Muthiah; Naheed Kanuga; Uwe Wolfrum; Kerstin Nagel-Wolfrum; Lyndon da Cruz; Peter J Coffey; Michael E Cheetham; Alison J Hardcastle
Journal:  Hum Mol Genet       Date:  2014-10-06       Impact factor: 6.150

2.  A selective screening program for the early detection of mucopolysaccharidosis: Results of the FIND project - a 2-year follow-up study.

Authors:  Cristóbal Colón; J Victor Alvarez; Cristina Castaño; Luís G Gutierrez-Solana; Ana M Marquez; María O'Callaghan; Félix Sánchez-Valverde; Carmen Yeste; María-Luz Couce
Journal:  Medicine (Baltimore)       Date:  2017-05       Impact factor: 1.889

Review 3.  Nonsense Suppression Therapy: New Hypothesis for the Treatment of Inherited Bone Marrow Failure Syndromes.

Authors:  Valentino Bezzerri; Martina Api; Marisole Allegri; Benedetta Fabrizzi; Seth J Corey; Marco Cipolli
Journal:  Int J Mol Sci       Date:  2020-06-30       Impact factor: 5.923

Review 4.  Advances in therapeutic use of a drug-stimulated translational readthrough of premature termination codons.

Authors:  Maciej Dabrowski; Zuzanna Bukowy-Bieryllo; Ewa Zietkiewicz
Journal:  Mol Med       Date:  2018-05-29       Impact factor: 6.354

Review 5.  Mucopolysaccharidosis Type I.

Authors:  Francyne Kubaski; Fabiano de Oliveira Poswar; Kristiane Michelin-Tirelli; Ursula da Silveira Matte; Dafne D Horovitz; Anneliese Lopes Barth; Guilherme Baldo; Filippo Vairo; Roberto Giugliani
Journal:  Diagnostics (Basel)       Date:  2020-03-16

Review 6.  Diagnosis of Mucopolysaccharidoses.

Authors:  Francyne Kubaski; Fabiano de Oliveira Poswar; Kristiane Michelin-Tirelli; Maira Graeff Burin; Diana Rojas-Málaga; Ana Carolina Brusius-Facchin; Sandra Leistner-Segal; Roberto Giugliani
Journal:  Diagnostics (Basel)       Date:  2020-03-22

7.  Prediction of Premature Termination Codon Suppressing Compounds for Treatment of Duchenne Muscular Dystrophy Using Machine Learning.

Authors:  Kate Wang; Eden L Romm; Valentina L Kouznetsova; Igor F Tsigelny
Journal:  Molecules       Date:  2020-08-26       Impact factor: 4.411

  7 in total

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