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

early onset preeclampsia extreme prematurity plasma RNA plasma transcriptome preeclampsia preterm birth preterm labor prognostication screening

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
27 May 2022
Historique:
received: 01 05 2022
revised: 25 05 2022
accepted: 25 05 2022
entrez: 24 6 2022
pubmed: 25 6 2022
medline: 25 6 2022
Statut: epublish

Résumé

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:

Identifiants

pubmed: 35741140
pii: diagnostics12061327
doi: 10.3390/diagnostics12061327
pmc: PMC9221694
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : CDC HHS
ID : U01 DP000187, 2005-2010
Pays : United States
Organisme : Burroughs Wellcome Fund
ID : 2009-2010

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Auteurs

Carl Philip Weiner (CP)

Department of Obstetrics and Gynecology, Kansas University Medical Center, Kansas City, KS 66160, USA.
Rosetta Signaling Laboratory, Phoenix, AZ 85018, USA.

Howard Cuckle (H)

Faculty of Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv 6934206, Israel.

Mark Louis Weiss (ML)

Departments of Anatomy and Physiology & Midwest Institute of Comparative Stem Cell Biology, Kansas State University, Manhattan, KS 66506, USA.

Irina Alexandra Buhimschi (IA)

Department of Obstetrics and Gynecology, University of Illinois-Chicago, Chicago, IL 60612, USA.

Yafeng Dong (Y)

Department of Obstetrics and Gynecology, Kansas University Medical Center, Kansas City, KS 66160, USA.
Rosetta Signaling Laboratory, Phoenix, AZ 85018, USA.

Helen Zhou (H)

Department of Obstetrics and Gynecology, Kansas University Medical Center, Kansas City, KS 66160, USA.

Risa Ramsey (R)

Office of Clinical Research, University of Tennessee Health Science Center, Memphis, TN 38163, USA.

Robert Egerman (R)

Department of Obstetrics and Gynecology, University of Florida, Gainesville, FL 32611, USA.

Catalin Sorin Buhimschi (CS)

Department of Obstetrics and Gynecology, University of Illinois-Chicago, Chicago, IL 60612, USA.

Classifications MeSH