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IDENTIFICATION OF MUTATIONS IN THE PAH GENE IN PKU PATIENTS IN THE STATE OF MATO GROSSO
OBJECTIVE: To identify phenylalanine hydroxylase (PAH) mutations in patients with phenylketonuria (PKU) from the Newborn Screening Service in Mato Grosso, Midwest Brazil. METHODS: This is a cross-sectional descriptive study. The sample consisted of 19 PKU patients diagnosed by newborn screening. Mol...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade de Pediatria de São Paulo
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025444/ https://www.ncbi.nlm.nih.gov/pubmed/32074228 http://dx.doi.org/10.1590/1984-0462/2020/38/2018351 |
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author | Costa, Roseli Divino Galera, Bianca Borsatto Rezende, Bianca Costa Venâncio, Amanda Cristina Galera, Marcial Francis |
author_facet | Costa, Roseli Divino Galera, Bianca Borsatto Rezende, Bianca Costa Venâncio, Amanda Cristina Galera, Marcial Francis |
author_sort | Costa, Roseli Divino |
collection | PubMed |
description | OBJECTIVE: To identify phenylalanine hydroxylase (PAH) mutations in patients with phenylketonuria (PKU) from the Newborn Screening Service in Mato Grosso, Midwest Brazil. METHODS: This is a cross-sectional descriptive study. The sample consisted of 19 PKU patients diagnosed by newborn screening. Molecular analysis: DNA extraction using the “salting-out” method. Detection of IVS10nt-11G>A, V388M, R261Q, R261X, R252W, and R408W mutations by the restriction fragment length polymorphism (RFLP) technique. RESULTS: Two mutant alleles were identified in four patients (21.1%), one allele in five patients (26.2%), and none in the remaining ten patients (52.6%). A total of 13/38 alleles were detected, corresponding to 34.2% of the PAH alleles present. The most prevalent variant was V388M (13.2% of the alleles), followed by R261Q (10.1%) and IVS10nt-11G>A (7.9%). Three variants (R261X, R252W, and R408W) were not found. The most frequent mutation types were: missense mutation in eight alleles (18.4%) and splicing in four alleles (10.5%). The model proposed by Guldberg to determine a genotype/phenotype correlation was applied to four classical PKU patients with two identified mutations. In three of them, the predicted moderate/moderate or moderate PKU phenotype did not coincide with the actual diagnosis. The prediction coincided with the diagnosis of one classic PKU patient. The estimated incidence of PKU for Mato Grosso, Brazil, was 1:33,342 live births from 2003 to 2015. CONCLUSION: The only mutations found in the analyzed samples were the IVS10nt-11G>A, V388M, and R261Q. The genotype/phenotype correlation only occurred in four (5.3%) patients. |
format | Online Article Text |
id | pubmed-7025444 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Sociedade de Pediatria de São Paulo |
record_format | MEDLINE/PubMed |
spelling | pubmed-70254442020-02-27 IDENTIFICATION OF MUTATIONS IN THE PAH GENE IN PKU PATIENTS IN THE STATE OF MATO GROSSO Costa, Roseli Divino Galera, Bianca Borsatto Rezende, Bianca Costa Venâncio, Amanda Cristina Galera, Marcial Francis Rev Paul Pediatr Original Article OBJECTIVE: To identify phenylalanine hydroxylase (PAH) mutations in patients with phenylketonuria (PKU) from the Newborn Screening Service in Mato Grosso, Midwest Brazil. METHODS: This is a cross-sectional descriptive study. The sample consisted of 19 PKU patients diagnosed by newborn screening. Molecular analysis: DNA extraction using the “salting-out” method. Detection of IVS10nt-11G>A, V388M, R261Q, R261X, R252W, and R408W mutations by the restriction fragment length polymorphism (RFLP) technique. RESULTS: Two mutant alleles were identified in four patients (21.1%), one allele in five patients (26.2%), and none in the remaining ten patients (52.6%). A total of 13/38 alleles were detected, corresponding to 34.2% of the PAH alleles present. The most prevalent variant was V388M (13.2% of the alleles), followed by R261Q (10.1%) and IVS10nt-11G>A (7.9%). Three variants (R261X, R252W, and R408W) were not found. The most frequent mutation types were: missense mutation in eight alleles (18.4%) and splicing in four alleles (10.5%). The model proposed by Guldberg to determine a genotype/phenotype correlation was applied to four classical PKU patients with two identified mutations. In three of them, the predicted moderate/moderate or moderate PKU phenotype did not coincide with the actual diagnosis. The prediction coincided with the diagnosis of one classic PKU patient. The estimated incidence of PKU for Mato Grosso, Brazil, was 1:33,342 live births from 2003 to 2015. CONCLUSION: The only mutations found in the analyzed samples were the IVS10nt-11G>A, V388M, and R261Q. The genotype/phenotype correlation only occurred in four (5.3%) patients. Sociedade de Pediatria de São Paulo 2020-02-14 /pmc/articles/PMC7025444/ /pubmed/32074228 http://dx.doi.org/10.1590/1984-0462/2020/38/2018351 Text en https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License |
spellingShingle | Original Article Costa, Roseli Divino Galera, Bianca Borsatto Rezende, Bianca Costa Venâncio, Amanda Cristina Galera, Marcial Francis IDENTIFICATION OF MUTATIONS IN THE PAH GENE IN PKU PATIENTS IN THE STATE OF MATO GROSSO |
title | IDENTIFICATION OF MUTATIONS IN THE PAH GENE IN PKU
PATIENTS IN THE STATE OF MATO GROSSO |
title_full | IDENTIFICATION OF MUTATIONS IN THE PAH GENE IN PKU
PATIENTS IN THE STATE OF MATO GROSSO |
title_fullStr | IDENTIFICATION OF MUTATIONS IN THE PAH GENE IN PKU
PATIENTS IN THE STATE OF MATO GROSSO |
title_full_unstemmed | IDENTIFICATION OF MUTATIONS IN THE PAH GENE IN PKU
PATIENTS IN THE STATE OF MATO GROSSO |
title_short | IDENTIFICATION OF MUTATIONS IN THE PAH GENE IN PKU
PATIENTS IN THE STATE OF MATO GROSSO |
title_sort | identification of mutations in the pah gene in pku
patients in the state of mato grosso |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025444/ https://www.ncbi.nlm.nih.gov/pubmed/32074228 http://dx.doi.org/10.1590/1984-0462/2020/38/2018351 |
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