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Two Reliable Methodical Approaches for Non-Invasive RHD Genotyping of a Fetus from Maternal Plasma
Noninvasive fetal RHD genotyping is an important tool for predicting RhD incompatibility between a pregnant woman and a fetus. This study aimed to assess a methodological approach other than the commonly used one for noninvasive fetal RHD genotyping on a representative set of RhD-negative pregnant w...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460148/ https://www.ncbi.nlm.nih.gov/pubmed/32764529 http://dx.doi.org/10.3390/diagnostics10080564 |
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author | Bohmova, Jana Lubusky, Marek Holuskova, Iva Studnickova, Martina Kratochvilova, Romana Krejcirikova, Eva Durdova, Veronika Kratochvilova, Tereza Dusek, Ladislav Prochazka, Martin Vodicka, Radek |
author_facet | Bohmova, Jana Lubusky, Marek Holuskova, Iva Studnickova, Martina Kratochvilova, Romana Krejcirikova, Eva Durdova, Veronika Kratochvilova, Tereza Dusek, Ladislav Prochazka, Martin Vodicka, Radek |
author_sort | Bohmova, Jana |
collection | PubMed |
description | Noninvasive fetal RHD genotyping is an important tool for predicting RhD incompatibility between a pregnant woman and a fetus. This study aimed to assess a methodological approach other than the commonly used one for noninvasive fetal RHD genotyping on a representative set of RhD-negative pregnant women. The methodology must be accurate, reliable, and broadly available for implementation into routine clinical practice. A total of 337 RhD-negative pregnant women from the Czech Republic region were tested in this study. The fetal RHD genotype was assessed using two methods: real-time PCR and endpoint quantitative fluorescent (QF) PCR. We used exon-7-specific primers from the RHD gene, along with internal controls. Plasma samples were analyzed and measured in four/two parallel reactions to determine the accuracy of the RHD genotyping. The RHD genotype was verified using DNA analysis from a newborn buccal swab. Both methods showed an excellent ability to predict the RHD genotype. Real-time PCR achieved its greatest accuracy of 98.6% (97.1% sensitivity and 100% specificity (95% CI)) if all four PCRs were positive/negative. The QF PCR method also achieved its greatest accuracy of 99.4% (100% sensitivity and 98.6% specificity (95% CI)) if all the measurements were positive/negative. Both real-time PCR and QF PCR were reliable methods for precisely assessing the fetal RHD allele from the plasma of RhD-negative pregnant women. |
format | Online Article Text |
id | pubmed-7460148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74601482020-09-02 Two Reliable Methodical Approaches for Non-Invasive RHD Genotyping of a Fetus from Maternal Plasma Bohmova, Jana Lubusky, Marek Holuskova, Iva Studnickova, Martina Kratochvilova, Romana Krejcirikova, Eva Durdova, Veronika Kratochvilova, Tereza Dusek, Ladislav Prochazka, Martin Vodicka, Radek Diagnostics (Basel) Article Noninvasive fetal RHD genotyping is an important tool for predicting RhD incompatibility between a pregnant woman and a fetus. This study aimed to assess a methodological approach other than the commonly used one for noninvasive fetal RHD genotyping on a representative set of RhD-negative pregnant women. The methodology must be accurate, reliable, and broadly available for implementation into routine clinical practice. A total of 337 RhD-negative pregnant women from the Czech Republic region were tested in this study. The fetal RHD genotype was assessed using two methods: real-time PCR and endpoint quantitative fluorescent (QF) PCR. We used exon-7-specific primers from the RHD gene, along with internal controls. Plasma samples were analyzed and measured in four/two parallel reactions to determine the accuracy of the RHD genotyping. The RHD genotype was verified using DNA analysis from a newborn buccal swab. Both methods showed an excellent ability to predict the RHD genotype. Real-time PCR achieved its greatest accuracy of 98.6% (97.1% sensitivity and 100% specificity (95% CI)) if all four PCRs were positive/negative. The QF PCR method also achieved its greatest accuracy of 99.4% (100% sensitivity and 98.6% specificity (95% CI)) if all the measurements were positive/negative. Both real-time PCR and QF PCR were reliable methods for precisely assessing the fetal RHD allele from the plasma of RhD-negative pregnant women. MDPI 2020-08-05 /pmc/articles/PMC7460148/ /pubmed/32764529 http://dx.doi.org/10.3390/diagnostics10080564 Text en © 2020 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 | Article Bohmova, Jana Lubusky, Marek Holuskova, Iva Studnickova, Martina Kratochvilova, Romana Krejcirikova, Eva Durdova, Veronika Kratochvilova, Tereza Dusek, Ladislav Prochazka, Martin Vodicka, Radek Two Reliable Methodical Approaches for Non-Invasive RHD Genotyping of a Fetus from Maternal Plasma |
title | Two Reliable Methodical Approaches for Non-Invasive RHD Genotyping of a Fetus from Maternal Plasma |
title_full | Two Reliable Methodical Approaches for Non-Invasive RHD Genotyping of a Fetus from Maternal Plasma |
title_fullStr | Two Reliable Methodical Approaches for Non-Invasive RHD Genotyping of a Fetus from Maternal Plasma |
title_full_unstemmed | Two Reliable Methodical Approaches for Non-Invasive RHD Genotyping of a Fetus from Maternal Plasma |
title_short | Two Reliable Methodical Approaches for Non-Invasive RHD Genotyping of a Fetus from Maternal Plasma |
title_sort | two reliable methodical approaches for non-invasive rhd genotyping of a fetus from maternal plasma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460148/ https://www.ncbi.nlm.nih.gov/pubmed/32764529 http://dx.doi.org/10.3390/diagnostics10080564 |
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