Literature DB >> 19444284

A limited spectrum of phenylalanine hydroxylase mutations is observed in phenylketonuria patients in western Poland and implications for treatment with 6R tetrahydrobiopterin.

Steven F Dobrowolski1, K Borski, C C Ellingson, R Koch, H L Levy, E W Naylor.   

Abstract

Phenylketonuria (PKU) is an autosomal recessive defect in hepatic metabolism of phenylalanine, which is secondary to mutations in the phenylalanine hydroxylase (PAH) gene. Sixty-seven ethnically Polish PKU patients, followed at the Outpatient Department of Pediatrics and Developmental Medicine in Poznan, Poland, were assessed for mutations in the PAH gene. Two mutations were identified in 61 of 67 patients and a single mutation was identified in the remaining six patients. The four most prevalent mutations (p.R408W, 68%; c.1066-11G>A, 6%; c.1315+1G>A, 5.2%; c.822-832delGCCCATGTATA, 3.7%) accounted for 83% of the mutant alleles. Fifteen additional mutations were identified of which most (13/15) were observed in an individual patient. Before knowledge of PAH genotypes, 19 patients were challenged with a 20 mg kg(-1) dose of 6R tetrahydrobiopterin (BH(4)) and serum phenylalanine concentration was monitored in hospital over 24 h. Two patients responded to the BH(4) challenge with a reduction of serum phenylalanine concentration >30% from baseline. PAH genotypes of the two responsive patients would have been predicted, as they contained mutations recognized as BH(4) responsive, whereas the 17 patients who were unresponsive would have been predicted as their mutations were either recognized as non-responsive or were highly deleterious frame-shift mutations. Overall, only 7.5% (5/ 67) of patients had PAH mutations recognized as responsive to co-factor therapy. Among the PKU patients from western Poland, PAH mutations responsive to BH(4) therapy are poorly represented; therefore, genotyping may be useful for identifying candidate patients likely to respond to BH(4) before physiological challenge.

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Year:  2009        PMID: 19444284     DOI: 10.1038/jhg.2009.37

Source DB:  PubMed          Journal:  J Hum Genet        ISSN: 1434-5161            Impact factor:   3.172


  6 in total

Review 1.  Phenylketonuria: a 21st century perspective.

Authors:  Francjan J van Spronsen
Journal:  Nat Rev Endocrinol       Date:  2010-09       Impact factor: 43.330

2.  Chaperone-like therapy with tetrahydrobiopterin in clinical trials for phenylketonuria: is genotype a predictor of response?

Authors:  Christineh N Sarkissian; Alejandra Gamez; Patrick Scott; Jerome Dauvillier; Alejandro Dorenbaum; Charles R Scriver; Raymond C Stevens
Journal:  JIMD Rep       Date:  2011-12-06

Review 3.  Up to date knowledge on different treatment strategies for phenylketonuria.

Authors:  Amaya Bélanger-Quintana; Alberto Burlina; Cary O Harding; Ania C Muntau
Journal:  Mol Genet Metab       Date:  2011-08-16       Impact factor: 4.797

4.  Influence of PAH Genotype on Sapropterin Response in PKU: Results of a Single-Center Cohort Study.

Authors:  Sarah Leuders; Eva Wolfgart; Torsten Ott; Marcel du Moulin; Agnes van Teeffelen-Heithoff; Lydia Vogelpohl; Ulrike Och; Thorsten Marquardt; Josef Weglage; Reinhold Feldmann; Frank Rutsch
Journal:  JIMD Rep       Date:  2013-11-05

5.  The analysis of using a panel of the most common variants in the PAH gene for the newborn screening in Ukraine.

Authors:  Liliya Fishchuk; Zoia Rossokha; Natalia Olkhovich; Nataliia Pichkur; Olena Popova; Nataliia Medvedieva; Viktoriia Vershyhora; Olha Dubitska; Tetiana Shkurko; Larysa Popovych; Olga Bondar; Irina Morozuk; Svitlana Onyshchenko; Lyubov Yevtushok; Oksana Tsizh; Iryna Bryl; Olena Tul; Svitlana Kalynka; Iryna Zinkina; Svitlana Matviiuk; Yulianna Riabova; Nataliia Gorovenko
Journal:  Mol Genet Metab Rep       Date:  2022-08-01

6.  Molecular characterisation of phenylketonuria in a Chinese mainland population using next-generation sequencing.

Authors:  Nana Li; Haitao Jia; Zhen Liu; Jing Tao; Song Chen; Xiaohong Li; Ying Deng; Xi Jin; Jiaping Song; Liangtao Zhang; Yu Liang; Wei Wang; Jun Zhu
Journal:  Sci Rep       Date:  2015-10-27       Impact factor: 4.379

  6 in total

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