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Extracellular vesicles yield predictive pre-eclampsia biomarkers
Circulating extracellular vesicles (EVs) such as cholera toxin B chain (CTB)- or annexin V (AV)-binding EVs were previously shown to be rich sources of biomarkers. Here we test if previously identified pre-eclampsia (PE) candidate biomarkers, TIMP-1 in CTB-EVs (CTB-TIMP) and PAI-1 in AV-EVs (AV-PAI)...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738645/ https://www.ncbi.nlm.nih.gov/pubmed/29296254 http://dx.doi.org/10.1080/20013078.2017.1408390 |
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author | Tan, Kok Hian Tan, Soon Sim Ng, Mor Jack Tey, Wan Shi Sim, Wei Kian Allen, John Carson Lim, Sai Kiang |
author_facet | Tan, Kok Hian Tan, Soon Sim Ng, Mor Jack Tey, Wan Shi Sim, Wei Kian Allen, John Carson Lim, Sai Kiang |
author_sort | Tan, Kok Hian |
collection | PubMed |
description | Circulating extracellular vesicles (EVs) such as cholera toxin B chain (CTB)- or annexin V (AV)-binding EVs were previously shown to be rich sources of biomarkers. Here we test if previously identified pre-eclampsia (PE) candidate biomarkers, TIMP-1 in CTB-EVs (CTB-TIMP) and PAI-1 in AV-EVs (AV-PAI) complement plasma PlGF in predicting PE in a low-risk obstetric population. Eight hundred and forty-three prospectively banked plasma samples collected at 28 + 0 to 32 + 0 gestation weeks in the Neonatal and Obstetrics Risk Assessment (NORA) cohort study were assayed by sandwich ELISAs for plasma PlGF, CTB-TIMP1 and AV-PAI1. Nineteen patients subsequently developed PE 7.3 (±2.9) weeks later at a mean gestational age of 36.1 ± 3.5 weeks. The biomarkers were assessed for their predictive accuracy for PE using stepwise multivariate logistic regression analysis with Firth correction and Areas under the curve (AUC). To achieve 100% sensitivity in predicting PE, the cut-off for plasma PlGF, CTB-TIMP1 & AV-PAI1 were set at <1235, ≤300 or >1300 and <10,550 pg/mL plasma, respectively. The corresponding AUCs, specificity and PPV at a 95% confidence interval were 0.92, 52.1% and 4.7%; 0.72, 44.5% and 4.0%; and 0.69, 21.5% and 2.9%, respectively. At 100% sensitivity, the three biomarkers had a combined AUC of 0.96, specificity of 78.6%, and PPV of 9.9%. This is the first large cohort validation of the utility of EV-associated analytes as disease biomarkers. Specifically, EV biomarkers enhanced the predictive robustness of an existing PE biomarker sufficiently to justify PE screening in a low-risk general obstetric population. |
format | Online Article Text |
id | pubmed-5738645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-57386452018-01-02 Extracellular vesicles yield predictive pre-eclampsia biomarkers Tan, Kok Hian Tan, Soon Sim Ng, Mor Jack Tey, Wan Shi Sim, Wei Kian Allen, John Carson Lim, Sai Kiang J Extracell Vesicles Research Article Circulating extracellular vesicles (EVs) such as cholera toxin B chain (CTB)- or annexin V (AV)-binding EVs were previously shown to be rich sources of biomarkers. Here we test if previously identified pre-eclampsia (PE) candidate biomarkers, TIMP-1 in CTB-EVs (CTB-TIMP) and PAI-1 in AV-EVs (AV-PAI) complement plasma PlGF in predicting PE in a low-risk obstetric population. Eight hundred and forty-three prospectively banked plasma samples collected at 28 + 0 to 32 + 0 gestation weeks in the Neonatal and Obstetrics Risk Assessment (NORA) cohort study were assayed by sandwich ELISAs for plasma PlGF, CTB-TIMP1 and AV-PAI1. Nineteen patients subsequently developed PE 7.3 (±2.9) weeks later at a mean gestational age of 36.1 ± 3.5 weeks. The biomarkers were assessed for their predictive accuracy for PE using stepwise multivariate logistic regression analysis with Firth correction and Areas under the curve (AUC). To achieve 100% sensitivity in predicting PE, the cut-off for plasma PlGF, CTB-TIMP1 & AV-PAI1 were set at <1235, ≤300 or >1300 and <10,550 pg/mL plasma, respectively. The corresponding AUCs, specificity and PPV at a 95% confidence interval were 0.92, 52.1% and 4.7%; 0.72, 44.5% and 4.0%; and 0.69, 21.5% and 2.9%, respectively. At 100% sensitivity, the three biomarkers had a combined AUC of 0.96, specificity of 78.6%, and PPV of 9.9%. This is the first large cohort validation of the utility of EV-associated analytes as disease biomarkers. Specifically, EV biomarkers enhanced the predictive robustness of an existing PE biomarker sufficiently to justify PE screening in a low-risk general obstetric population. Taylor & Francis 2017-12-13 /pmc/articles/PMC5738645/ /pubmed/29296254 http://dx.doi.org/10.1080/20013078.2017.1408390 Text en © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of The International Society http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Tan, Kok Hian Tan, Soon Sim Ng, Mor Jack Tey, Wan Shi Sim, Wei Kian Allen, John Carson Lim, Sai Kiang Extracellular vesicles yield predictive pre-eclampsia biomarkers |
title | Extracellular vesicles yield predictive pre-eclampsia biomarkers |
title_full | Extracellular vesicles yield predictive pre-eclampsia biomarkers |
title_fullStr | Extracellular vesicles yield predictive pre-eclampsia biomarkers |
title_full_unstemmed | Extracellular vesicles yield predictive pre-eclampsia biomarkers |
title_short | Extracellular vesicles yield predictive pre-eclampsia biomarkers |
title_sort | extracellular vesicles yield predictive pre-eclampsia biomarkers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738645/ https://www.ncbi.nlm.nih.gov/pubmed/29296254 http://dx.doi.org/10.1080/20013078.2017.1408390 |
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