Literature DB >> 24190797

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

Sarah Leuders1, Eva Wolfgart, Torsten Ott, Marcel du Moulin, Agnes van Teeffelen-Heithoff, Lydia Vogelpohl, Ulrike Och, Thorsten Marquardt, Josef Weglage, Reinhold Feldmann, Frank Rutsch.   

Abstract

OBJECTIVE: Identifying phenylalanine hydroxylase (PAH) mutations associated with sapropterin response in phenylketonuria (PKU) would be an advantageous means to determine clinical benefit to sapropterin therapy.
METHODS: Sapropterin response, defined as a ≥30 % reduction in phenylalanine (Phe) levels after a dose of 10 mg/kg/day sapropterin for week one and 20 mg/kg/day for week two in 112 PKU patients aged 4-45 years, was assessed in an outpatient setting. PAH was sequenced in all patients. Mutations were correlated with sapropterin response. Dietary Phe intake was increased over a 6-week period in responsive patients.
RESULTS: Forty-six of 112 patients were sapropterin responsive. Genotypes p.[L48S];[L48S] and p.[Y414C];[Y414C] were always associated with response at a low dose. The mutation Y414C (present on 16 alleles) was most frequently associated with response. Patients with presence of the mutation L48S on at least one allele (12 alleles in 7 patients) always showed response to sapropterin. Responsive patients had a mean Phe tolerance increase of 189 % (range 11-742 %). In the 66 nonresponders, mutations R408W (38 alleles) and IVS12+1G>A (18 alleles) were detected most frequently. Genotypes [IVS12+1G>A];[IVS12+1G>A], p.[L348V];[R408W], p.[P281L];[P281L], p.[R158Q];[R408W], and p.[R261Q];[R408W] were always associated with nonresponse.
CONCLUSION: Data from the study contributes to growing evidence of the relationship between PAH genotype and PKU phenotype. In most cases, response to sapropterin therapy cannot be predicted based on the presence of a single mutation on one allele alone, although the complete PAH genotype may help to predict sapropterin responsiveness in PKU patients.

Entities:  

Year:  2013        PMID: 24190797      PMCID: PMC4110336          DOI: 10.1007/8904_2013_263

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


  25 in total

1.  Pahenu1 is a mouse model for tetrahydrobiopterin-responsive phenylalanine hydroxylase deficiency and promotes analysis of the pharmacological chaperone mechanism in vivo.

Authors:  Søren W Gersting; Florian B Lagler; Anna Eichinger; Kristina F Kemter; Marta K Danecka; Dunja D Messing; Michael Staudigl; Katharina A Domdey; Clemens Zsifkovits; Ralph Fingerhut; Hartmut Glossmann; Adelbert A Roscher; Ania C Muntau
Journal:  Hum Mol Genet       Date:  2010-02-23       Impact factor: 6.150

2.  START, a double blind, placebo-controlled pharmacogenetic test of responsiveness to sapropterin dihydrochloride in phenylketonuria patients.

Authors:  Jeanine R Jarnes Utz; Cindy Pham Lorentz; Dorothy Markowitz; Kyle D Rudser; Brenda Diethelm-Okita; David Erickson; Chester B Whitley
Journal:  Mol Genet Metab       Date:  2011-10-29       Impact factor: 4.797

3.  Tetrahydrobiopterin-responsive phenylalanine hydroxylase deficiency.

Authors:  S Kure; D C Hou; T Ohura; H Iwamoto; S Suzuki; N Sugiyama; O Sakamoto; K Fujii; Y Matsubara; K Narisawa
Journal:  J Pediatr       Date:  1999-09       Impact factor: 4.406

Review 4.  National Institutes of Health Consensus Development Conference Statement: phenylketonuria: screening and management, October 16-18, 2000.

Authors: 
Journal:  Pediatrics       Date:  2001-10       Impact factor: 7.124

5.  Significance of genotype in tetrahydrobiopterin-responsive phenylketonuria.

Authors:  F K Trefz; D Scheible; H Götz; G Frauendienst-Egger
Journal:  J Inherit Metab Dis       Date:  2008-10-30       Impact factor: 4.982

6.  Genotype-predicted tetrahydrobiopterin (BH4)-responsiveness and molecular genetics in Croatian patients with phenylalanine hydroxylase (PAH) deficiency.

Authors:  Iva Karacić; David Meili; Vladimir Sarnavka; Caroline Heintz; Beat Thöny; Danijela Petković Ramadza; Ksenija Fumić; Dusko Mardesić; Ivo Barić; Nenad Blau
Journal:  Mol Genet Metab       Date:  2009-04-01       Impact factor: 4.797

7.  Recurrence of the R408W mutation in the phenylalanine hydroxylase locus in Europeans.

Authors:  R C Eisensmith; A A Goltsov; C O'Neill; L A Tyfield; E I Schwartz; A I Kuzmin; S S Baranovskaya; G L Tsukerman; E Treacy; C R Scriver
Journal:  Am J Hum Genet       Date:  1995-01       Impact factor: 11.025

8.  Assessment of tetrahydrobiopterin (BH4) responsiveness in phenylketonuria.

Authors:  Betina Fiege; Nenad Blau
Journal:  J Pediatr       Date:  2007-06       Impact factor: 4.406

Review 9.  Phenylketonuria mutations in Europe.

Authors:  Johannes Zschocke
Journal:  Hum Mutat       Date:  2003-04       Impact factor: 4.878

10.  Molecular genetics of tetrahydrobiopterin-responsive phenylalanine hydroxylase deficiency.

Authors:  Marcel R Zurflüh; Johannes Zschocke; Martin Lindner; François Feillet; Céline Chery; Alberto Burlina; Raymond C Stevens; Beat Thöny; Nenad Blau
Journal:  Hum Mutat       Date:  2008-01       Impact factor: 4.878

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  4 in total

Review 1.  New protein structures provide an updated understanding of phenylketonuria.

Authors:  Eileen K Jaffe
Journal:  Mol Genet Metab       Date:  2017-06-15       Impact factor: 4.797

2.  Population and evolutionary genetics of the PAH locus to uncover overdominance and adaptive mechanisms in phenylketonuria: Results from a multiethnic study.

Authors:  Abderrahim Oussalah; Elise Jeannesson-Thivisol; Céline Chéry; Pascal Perrin; Pierre Rouyer; Thomas Josse; Aline Cano; Magalie Barth; Alain Fouilhoux; Karine Mention; François Labarthe; Jean-Baptiste Arnoux; François Maillot; Catherine Lenaerts; Cécile Dumesnil; Kathy Wagner; Daniel Terral; Pierre Broué; Loic De Parscau; Claire Gay; Alice Kuster; Antoine Bédu; Gérard Besson; Delphine Lamireau; Sylvie Odent; Alice Masurel; Rosa-Maria Rodriguez-Guéant; François Feillet; Jean-Louis Guéant; Fares Namour
Journal:  EBioMedicine       Date:  2020-01-07       Impact factor: 8.143

Review 3.  Opportunities and challenges for the computational interpretation of rare variation in clinically important genes.

Authors:  Gregory McInnes; Andrew G Sharo; Megan L Koleske; Julia E H Brown; Matthew Norstad; Aashish N Adhikari; Sheng Wang; Steven E Brenner; Jodi Halpern; Barbara A Koenig; David C Magnus; Renata C Gallagher; Kathleen M Giacomini; Russ B Altman
Journal:  Am J Hum Genet       Date:  2021-04-01       Impact factor: 11.025

4.  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

  4 in total

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