Neonatal screening for four lysosomal storage diseases with a digital microfluidics platform: Initial results in Brazil
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Genetics and Molecular Biology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572018000300414 |
Resumo: | Abstract We describe the initial results of a neonatal screening program for four lysosomal storage diseases (MPS I, Pompe, Gaucher and Fabry) using the digital microfluidics methodology. The method successfully identified patients previously diagnosed with these diseases and was used to test dried blood spot samples obtained from 10,527 newborns aged 2 to 14 days. The digital microfluidic technology shows potential for a simple, rapid and high-throughput screening for these four diseases in a standard neonatal screening laboratory. |
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Genetics and Molecular Biology |
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Neonatal screening for four lysosomal storage diseases with a digital microfluidics platform: Initial results in BrazilLysossomal storage diseasesneonatal screeningdigital microfluidicsBrazilAbstract We describe the initial results of a neonatal screening program for four lysosomal storage diseases (MPS I, Pompe, Gaucher and Fabry) using the digital microfluidics methodology. The method successfully identified patients previously diagnosed with these diseases and was used to test dried blood spot samples obtained from 10,527 newborns aged 2 to 14 days. The digital microfluidic technology shows potential for a simple, rapid and high-throughput screening for these four diseases in a standard neonatal screening laboratory.Sociedade Brasileira de Genética2018-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572018000300414Genetics and Molecular Biology v.41 n.2 2018reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/1678-4685-gmb-2017-0227info:eu-repo/semantics/openAccessCamargo Neto,EuricoSchulte,JaquelinePereira,JamileBravo,HeydySampaio-Filho,ClaudioGiugliani,Robertoeng2018-06-21T00:00:00Zoai:scielo:S1415-47572018000300414Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2018-06-21T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false |
dc.title.none.fl_str_mv |
Neonatal screening for four lysosomal storage diseases with a digital microfluidics platform: Initial results in Brazil |
title |
Neonatal screening for four lysosomal storage diseases with a digital microfluidics platform: Initial results in Brazil |
spellingShingle |
Neonatal screening for four lysosomal storage diseases with a digital microfluidics platform: Initial results in Brazil Camargo Neto,Eurico Lysossomal storage diseases neonatal screening digital microfluidics Brazil |
title_short |
Neonatal screening for four lysosomal storage diseases with a digital microfluidics platform: Initial results in Brazil |
title_full |
Neonatal screening for four lysosomal storage diseases with a digital microfluidics platform: Initial results in Brazil |
title_fullStr |
Neonatal screening for four lysosomal storage diseases with a digital microfluidics platform: Initial results in Brazil |
title_full_unstemmed |
Neonatal screening for four lysosomal storage diseases with a digital microfluidics platform: Initial results in Brazil |
title_sort |
Neonatal screening for four lysosomal storage diseases with a digital microfluidics platform: Initial results in Brazil |
author |
Camargo Neto,Eurico |
author_facet |
Camargo Neto,Eurico Schulte,Jaqueline Pereira,Jamile Bravo,Heydy Sampaio-Filho,Claudio Giugliani,Roberto |
author_role |
author |
author2 |
Schulte,Jaqueline Pereira,Jamile Bravo,Heydy Sampaio-Filho,Claudio Giugliani,Roberto |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Camargo Neto,Eurico Schulte,Jaqueline Pereira,Jamile Bravo,Heydy Sampaio-Filho,Claudio Giugliani,Roberto |
dc.subject.por.fl_str_mv |
Lysossomal storage diseases neonatal screening digital microfluidics Brazil |
topic |
Lysossomal storage diseases neonatal screening digital microfluidics Brazil |
description |
Abstract We describe the initial results of a neonatal screening program for four lysosomal storage diseases (MPS I, Pompe, Gaucher and Fabry) using the digital microfluidics methodology. The method successfully identified patients previously diagnosed with these diseases and was used to test dried blood spot samples obtained from 10,527 newborns aged 2 to 14 days. The digital microfluidic technology shows potential for a simple, rapid and high-throughput screening for these four diseases in a standard neonatal screening laboratory. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572018000300414 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572018000300414 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4685-gmb-2017-0227 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
dc.source.none.fl_str_mv |
Genetics and Molecular Biology v.41 n.2 2018 reponame:Genetics and Molecular Biology instname:Sociedade Brasileira de Genética (SBG) instacron:SBG |
instname_str |
Sociedade Brasileira de Genética (SBG) |
instacron_str |
SBG |
institution |
SBG |
reponame_str |
Genetics and Molecular Biology |
collection |
Genetics and Molecular Biology |
repository.name.fl_str_mv |
Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG) |
repository.mail.fl_str_mv |
||editor@gmb.org.br |
_version_ |
1752122388814757888 |