Prediction of late-onset preeclampsia using plasma proteomics: a longitudinal multi-cohort study
Abstract Preeclampsia is a pregnancy disorder with substantial perinatal and maternal morbidity and mortality. Pregnant women at risk of preeclampsia would benefit from early detection for follow-up, timely interventions and delivery. Several attempts have been made to identify protein biomarkers of...
Saved in:
| Main Authors: | Ina J. Andresen, Manuela Zucknick, Maren-Helene L. Degnes, Martin S. Angst, Nima Aghaeepour, Roberto Romero, Marie Cecilie P. Roland, Adi L. Tarca, Ane Cecilie Westerberg, Trond M. Michelsen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-81277-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Similar Items
-
Maternal and neonatal outcome among women with early-onset preeclampsia and late-onset preeclampsia
by: Luthfi Rahman, et al.
Published: (2024-12-01) -
Evaluation of Serum Kallistatin Levels in Women with Preeclampsia and its Role in Assessing Preeclampsia Severity
by: Rangeen Badri Mahdi, et al.
Published: (2024-12-01) -
Neutrophil Gelatinase-Associated Lipocalin Levels in Early and Late Onset Preeclampsia
by: Onur Guralp, et al.
Published: (2020-12-01) -
New Approaches for Preeclampsia: Review of the Literature
by: Emel Ebru Özçimen
Published: (2015-12-01) -
Diagnosis of preeclampsia using metabolomic biomarkers
by: Yunfan Tian, et al.
Published: (2024-12-01)