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Evaluation of a Maternal Plasma RNA Panel Predicting Spontaneous Preterm Birth and Its Expansion to the Prediction of Preeclampsia

Preterm birth is the principal contributor to neonatal death and morbidity worldwide. We previously described a plasma cell-free RNA panel that between 16 and 20 weeks of pregnancy had potential to predict spontaneous preterm birth (sPTB) ≤ 32 weeks caused by preterm labor (PTL) or preterm premature...

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Autores principales: Weiner, Carl Philip, Cuckle, Howard, Weiss, Mark Louis, Buhimschi, Irina Alexandra, Dong, Yafeng, Zhou, Helen, Ramsey, Risa, Egerman, Robert, Buhimschi, Catalin Sorin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221694/
https://www.ncbi.nlm.nih.gov/pubmed/35741140
http://dx.doi.org/10.3390/diagnostics12061327
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author Weiner, Carl Philip
Cuckle, Howard
Weiss, Mark Louis
Buhimschi, Irina Alexandra
Dong, Yafeng
Zhou, Helen
Ramsey, Risa
Egerman, Robert
Buhimschi, Catalin Sorin
author_facet Weiner, Carl Philip
Cuckle, Howard
Weiss, Mark Louis
Buhimschi, Irina Alexandra
Dong, Yafeng
Zhou, Helen
Ramsey, Risa
Egerman, Robert
Buhimschi, Catalin Sorin
author_sort Weiner, Carl Philip
collection PubMed
description Preterm birth is the principal contributor to neonatal death and morbidity worldwide. We previously described a plasma cell-free RNA panel that between 16 and 20 weeks of pregnancy had potential to predict spontaneous preterm birth (sPTB) ≤ 32 weeks caused by preterm labor (PTL) or preterm premature rupture of membranes (PPROM). The present study had three objectives: (1) estimate the RNA panel prognostic accuracy for PTL/PPROM ≤ 32 weeks in a larger series; (2) improve accuracy by adding clinical characteristics to the predictive model; and (3) examine the association of the RNA panel with preeclampsia. We studied 289 women from Memphis TN prospectively sampled 16.0–20.7 weeks and found: (1) PSME2 and Hsa-Let 7g were differentially expressed in cases of PTL/PPROM ≤ 32 weeks and together provided fair predictive accuracy with AUC of 0.76; (2) combining the two RNAs with clinical characteristics improved good predictive accuracy for PTL/PPROM ≤ 32 weeks (AUC 0.83); (3) NAMPT and APOA1 were differentially expressed in women with ‘early-onset preeclampsia’ (EOP) and together provided good predictive accuracy with AUC of 0.89; and (4) combining the two RNAs with clinical characteristics provided excellent predictive accuracy (AUC 0.96). Our findings suggest an underlying common pathophysiological relationship between PTL/PPROM ≤ 32 weeks and EOP and open inroads for the prognostication of high-risk pregnancies.
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spelling pubmed-92216942022-06-24 Evaluation of a Maternal Plasma RNA Panel Predicting Spontaneous Preterm Birth and Its Expansion to the Prediction of Preeclampsia Weiner, Carl Philip Cuckle, Howard Weiss, Mark Louis Buhimschi, Irina Alexandra Dong, Yafeng Zhou, Helen Ramsey, Risa Egerman, Robert Buhimschi, Catalin Sorin Diagnostics (Basel) Article Preterm birth is the principal contributor to neonatal death and morbidity worldwide. We previously described a plasma cell-free RNA panel that between 16 and 20 weeks of pregnancy had potential to predict spontaneous preterm birth (sPTB) ≤ 32 weeks caused by preterm labor (PTL) or preterm premature rupture of membranes (PPROM). The present study had three objectives: (1) estimate the RNA panel prognostic accuracy for PTL/PPROM ≤ 32 weeks in a larger series; (2) improve accuracy by adding clinical characteristics to the predictive model; and (3) examine the association of the RNA panel with preeclampsia. We studied 289 women from Memphis TN prospectively sampled 16.0–20.7 weeks and found: (1) PSME2 and Hsa-Let 7g were differentially expressed in cases of PTL/PPROM ≤ 32 weeks and together provided fair predictive accuracy with AUC of 0.76; (2) combining the two RNAs with clinical characteristics improved good predictive accuracy for PTL/PPROM ≤ 32 weeks (AUC 0.83); (3) NAMPT and APOA1 were differentially expressed in women with ‘early-onset preeclampsia’ (EOP) and together provided good predictive accuracy with AUC of 0.89; and (4) combining the two RNAs with clinical characteristics provided excellent predictive accuracy (AUC 0.96). Our findings suggest an underlying common pathophysiological relationship between PTL/PPROM ≤ 32 weeks and EOP and open inroads for the prognostication of high-risk pregnancies. MDPI 2022-05-27 /pmc/articles/PMC9221694/ /pubmed/35741140 http://dx.doi.org/10.3390/diagnostics12061327 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Weiner, Carl Philip
Cuckle, Howard
Weiss, Mark Louis
Buhimschi, Irina Alexandra
Dong, Yafeng
Zhou, Helen
Ramsey, Risa
Egerman, Robert
Buhimschi, Catalin Sorin
Evaluation of a Maternal Plasma RNA Panel Predicting Spontaneous Preterm Birth and Its Expansion to the Prediction of Preeclampsia
title Evaluation of a Maternal Plasma RNA Panel Predicting Spontaneous Preterm Birth and Its Expansion to the Prediction of Preeclampsia
title_full Evaluation of a Maternal Plasma RNA Panel Predicting Spontaneous Preterm Birth and Its Expansion to the Prediction of Preeclampsia
title_fullStr Evaluation of a Maternal Plasma RNA Panel Predicting Spontaneous Preterm Birth and Its Expansion to the Prediction of Preeclampsia
title_full_unstemmed Evaluation of a Maternal Plasma RNA Panel Predicting Spontaneous Preterm Birth and Its Expansion to the Prediction of Preeclampsia
title_short Evaluation of a Maternal Plasma RNA Panel Predicting Spontaneous Preterm Birth and Its Expansion to the Prediction of Preeclampsia
title_sort evaluation of a maternal plasma rna panel predicting spontaneous preterm birth and its expansion to the prediction of preeclampsia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221694/
https://www.ncbi.nlm.nih.gov/pubmed/35741140
http://dx.doi.org/10.3390/diagnostics12061327
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