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Potential Biomarkers for Predicting Congenital Cytomegalovirus Infection

Early diagnosis and treatment of infants with symptomatic congenital cytomegalovirus (CMV) infection may improve neurological outcomes. For this reason, prenatal detection of newborns at high risk for congenital CMV infection is important. A polymerase chain reaction (PCR) assay for CMV DNA in the a...

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Detalles Bibliográficos
Autores principales: Tanimura, Kenji, Yamada, Hideto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6321102/
https://www.ncbi.nlm.nih.gov/pubmed/30486359
http://dx.doi.org/10.3390/ijms19123760
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author Tanimura, Kenji
Yamada, Hideto
author_facet Tanimura, Kenji
Yamada, Hideto
author_sort Tanimura, Kenji
collection PubMed
description Early diagnosis and treatment of infants with symptomatic congenital cytomegalovirus (CMV) infection may improve neurological outcomes. For this reason, prenatal detection of newborns at high risk for congenital CMV infection is important. A polymerase chain reaction (PCR) assay for CMV DNA in the amniotic fluid is the gold standard for the diagnosis of intrauterine CMV infection; however, amniocentesis is an invasive procedure. Recently, we have found that the presence of CMV DNA in the maternal uterine cervical secretion is predictive of the occurrence of congenital CMV infection in CMV immunoglobulin M (IgM)-positive pregnant women. In contrast, we have suggested that maternal serological screening for primary CMV infection using CMV-specific immunoglobulin G (IgG), the IgG avidity index, or CMV-specific IgM overlooks a number of newborns with congenital CMV infection. We will review current knowledge of the potential biomarkers for predicting congenital CMV infection.
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spelling pubmed-63211022019-01-07 Potential Biomarkers for Predicting Congenital Cytomegalovirus Infection Tanimura, Kenji Yamada, Hideto Int J Mol Sci Review Early diagnosis and treatment of infants with symptomatic congenital cytomegalovirus (CMV) infection may improve neurological outcomes. For this reason, prenatal detection of newborns at high risk for congenital CMV infection is important. A polymerase chain reaction (PCR) assay for CMV DNA in the amniotic fluid is the gold standard for the diagnosis of intrauterine CMV infection; however, amniocentesis is an invasive procedure. Recently, we have found that the presence of CMV DNA in the maternal uterine cervical secretion is predictive of the occurrence of congenital CMV infection in CMV immunoglobulin M (IgM)-positive pregnant women. In contrast, we have suggested that maternal serological screening for primary CMV infection using CMV-specific immunoglobulin G (IgG), the IgG avidity index, or CMV-specific IgM overlooks a number of newborns with congenital CMV infection. We will review current knowledge of the potential biomarkers for predicting congenital CMV infection. MDPI 2018-11-27 /pmc/articles/PMC6321102/ /pubmed/30486359 http://dx.doi.org/10.3390/ijms19123760 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Tanimura, Kenji
Yamada, Hideto
Potential Biomarkers for Predicting Congenital Cytomegalovirus Infection
title Potential Biomarkers for Predicting Congenital Cytomegalovirus Infection
title_full Potential Biomarkers for Predicting Congenital Cytomegalovirus Infection
title_fullStr Potential Biomarkers for Predicting Congenital Cytomegalovirus Infection
title_full_unstemmed Potential Biomarkers for Predicting Congenital Cytomegalovirus Infection
title_short Potential Biomarkers for Predicting Congenital Cytomegalovirus Infection
title_sort potential biomarkers for predicting congenital cytomegalovirus infection
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6321102/
https://www.ncbi.nlm.nih.gov/pubmed/30486359
http://dx.doi.org/10.3390/ijms19123760
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