Prediction of risk for early or very early preterm births using high-resolution urinary metabolomic profiling

Prediction of risk for early or very early preterm births using high-resolution urinary metabolomic profiling

Abstract Background Preterm birth (PTB) is a serious health problem. PTB complications is the main cause of death in infants under five years of age worldwide. The ability to accurately predict risk for PTB during early pregnancy would allow early monitoring and interventions to provide personalized...

Full description

Saved in:
Bibliographic Details
Main Authors: Yaqi Zhang, Karl G. Sylvester, Ronald J. Wong, Yair J. Blumenfeld, Kuo Yuan Hwa, C. James Chou, Sheeno Thyparambil, Weili Liao, Zhi Han, James Schilling, Bo Jin, Ivana Marić, Nima Aghaeepour, Martin S. Angst, Brice Gaudilliere, Virginia D. Winn, Gary M. Shaw, Lu Tian, Ruben Y. Luo, Gary L. Darmstadt, Harvey J. Cohen, David K. Stevenson, Doff B. McElhinney, Xuefeng B. Ling
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Pregnancy and Childbirth
Subjects:
Early pregnancy
Preterm risk prediction
Spontaneous preterm birth
Biomarker
Urinary metabolite
LC-MS/MS
Online Access:https://doi.org/10.1186/s12884-024-06974-2
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12884-024-06974-2

Similar Items