Myeloperoxidase is not a good biomarker for preeclampsia prediction
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1038/s41598-017-09272-4 http://hdl.handle.net/11449/175122 |
Resumo: | Myeloperoxidase is a proinflammatory enzyme found to be increased in patients with established preeclampsia but never investigated before the disease onset. Here we examined myeloperoxidase concentration and activity in plasma and urine samples from pregnant women who remained normotensive throughout pregnancy and those who developed preeclampsia in order to assess its potential to predict this disorder. Our sample consisted of 30 cases who developed preeclampsia (14 severe and 16 mild) and 57 controls who remained healthy throughout pregnancy, derived from the Brazilian Ribeirão Preto and São Luís prenatal cohort (BRISA). Myeloperoxidase concentration were assessed using a commercial ELISA kit and enzymatic activity through tetramethylbenzidine oxidation. No statistical differences were found in myeloperoxidase levels nor activity between plasma or urine samples from controls, severe and mild cases. Myeloperoxidase did not seem to have a potential application for preeclampsia prediction. |
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Myeloperoxidase is not a good biomarker for preeclampsia predictionMyeloperoxidase is a proinflammatory enzyme found to be increased in patients with established preeclampsia but never investigated before the disease onset. Here we examined myeloperoxidase concentration and activity in plasma and urine samples from pregnant women who remained normotensive throughout pregnancy and those who developed preeclampsia in order to assess its potential to predict this disorder. Our sample consisted of 30 cases who developed preeclampsia (14 severe and 16 mild) and 57 controls who remained healthy throughout pregnancy, derived from the Brazilian Ribeirão Preto and São Luís prenatal cohort (BRISA). Myeloperoxidase concentration were assessed using a commercial ELISA kit and enzymatic activity through tetramethylbenzidine oxidation. No statistical differences were found in myeloperoxidase levels nor activity between plasma or urine samples from controls, severe and mild cases. Myeloperoxidase did not seem to have a potential application for preeclampsia prediction.Department of Pharmacology Institute of Biosciences of Botucatu Universidade Estadual Paulista (UNESP)Of Pediatrics Faculty of Medicine of Ribeirao Preto University of Sao PauloDepartment of Gynecology and Obstetrics Faculty of Medicine of Ribeirao Preto University of Sao PauloDepartment of Pharmacology Institute of Biosciences of Botucatu Universidade Estadual Paulista (UNESP)Universidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Rocha-Penha, L. [UNESP]Bettiol, H.Barbieri, M. A.Cardoso, V. C.Cavalli, R. C.Sandrim, V. C. [UNESP]2018-12-11T17:14:28Z2018-12-11T17:14:28Z2017-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1038/s41598-017-09272-4Scientific Reports, v. 7, n. 1, 2017.2045-2322http://hdl.handle.net/11449/17512210.1038/s41598-017-09272-42-s2.0-850286874902-s2.0-85028687490.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengScientific Reports1,533info:eu-repo/semantics/openAccess2024-01-16T06:24:12Zoai:repositorio.unesp.br:11449/175122Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:05:32.412482Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Myeloperoxidase is not a good biomarker for preeclampsia prediction |
title |
Myeloperoxidase is not a good biomarker for preeclampsia prediction |
spellingShingle |
Myeloperoxidase is not a good biomarker for preeclampsia prediction Rocha-Penha, L. [UNESP] |
title_short |
Myeloperoxidase is not a good biomarker for preeclampsia prediction |
title_full |
Myeloperoxidase is not a good biomarker for preeclampsia prediction |
title_fullStr |
Myeloperoxidase is not a good biomarker for preeclampsia prediction |
title_full_unstemmed |
Myeloperoxidase is not a good biomarker for preeclampsia prediction |
title_sort |
Myeloperoxidase is not a good biomarker for preeclampsia prediction |
author |
Rocha-Penha, L. [UNESP] |
author_facet |
Rocha-Penha, L. [UNESP] Bettiol, H. Barbieri, M. A. Cardoso, V. C. Cavalli, R. C. Sandrim, V. C. [UNESP] |
author_role |
author |
author2 |
Bettiol, H. Barbieri, M. A. Cardoso, V. C. Cavalli, R. C. Sandrim, V. C. [UNESP] |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Rocha-Penha, L. [UNESP] Bettiol, H. Barbieri, M. A. Cardoso, V. C. Cavalli, R. C. Sandrim, V. C. [UNESP] |
description |
Myeloperoxidase is a proinflammatory enzyme found to be increased in patients with established preeclampsia but never investigated before the disease onset. Here we examined myeloperoxidase concentration and activity in plasma and urine samples from pregnant women who remained normotensive throughout pregnancy and those who developed preeclampsia in order to assess its potential to predict this disorder. Our sample consisted of 30 cases who developed preeclampsia (14 severe and 16 mild) and 57 controls who remained healthy throughout pregnancy, derived from the Brazilian Ribeirão Preto and São Luís prenatal cohort (BRISA). Myeloperoxidase concentration were assessed using a commercial ELISA kit and enzymatic activity through tetramethylbenzidine oxidation. No statistical differences were found in myeloperoxidase levels nor activity between plasma or urine samples from controls, severe and mild cases. Myeloperoxidase did not seem to have a potential application for preeclampsia prediction. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-12-01 2018-12-11T17:14:28Z 2018-12-11T17:14:28Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1038/s41598-017-09272-4 Scientific Reports, v. 7, n. 1, 2017. 2045-2322 http://hdl.handle.net/11449/175122 10.1038/s41598-017-09272-4 2-s2.0-85028687490 2-s2.0-85028687490.pdf |
url |
http://dx.doi.org/10.1038/s41598-017-09272-4 http://hdl.handle.net/11449/175122 |
identifier_str_mv |
Scientific Reports, v. 7, n. 1, 2017. 2045-2322 10.1038/s41598-017-09272-4 2-s2.0-85028687490 2-s2.0-85028687490.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Scientific Reports 1,533 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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1808129489466556416 |