Angiogenic balance and diagnosis of pre-eclampsia: selecting the right VEGF receptor

Rath, Goutam; Tripathi, Richa

doi:10.1038/jhh.2011.90

Cited by 3 publications

(2 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Vascular endothelial growth factor A (VEGF-A) was among the most predictive proteins. Reduced levels of VEGF-A have previously been described in preeclamptic pregnancies due to increased levels of placental soluble fms-like tyrosine kinase-1 (sFLT-1) which validate our study [25][26][27] . Observed changes in several other proteins such as LEP, SELL, SELE, and ROR-1, were in agreement with existing literature 21,[28][29][30] .…”

Section: Discussionsupporting

confidence: 90%

Multiomics Longitudinal Modeling of Preeclamptic Pregnancies

Marić

Contrepois

Moufarrej

et al. 2021

Preprint

View full text Add to dashboard Cite

Preeclampsia is a complex disease of pregnancy whose physiopathology remains unclear and that poses a threat to both mothers and infants. Specific complex changes in women's physiology precede a diagnosis of preeclampsia. Understanding multiple aspects of such a complex changes at different levels of biology, can be enabled by simultaneous application of multiple assays. We developed prediction models for preeclampsia risk by analyzing six omics datasets from a longitudinal cohort of pregnant women. A machine learning-based multiomics model had high accuracy (area under the receiver operating characteristics curve (AUC) of 0.94, 95% confidence intervals (CI): [0.90, 0.99]). A prediction model using only ten urine metabolites provided an accuracy of the whole metabolomic dataset and was validated using an independent cohort of 16 women (AUC = 0.87, 95% CI: [0.76, 0.99]). Integration with clinical variables further improved prediction accuracy of the urine metabolome model (AUC = 0.90, 95% CI: [0.80, 0.99], urine metabolome, validated). We identified several biological pathways to be associated with preeclampsia. The findings derived from models were integrated with immune system cytometry data, confirming known physiological alterations associated with preeclampsia and suggesting novel associations between the immune and proteomic dynamics. While further validation in larger populations is necessary, these encouraging results will serve as a basis for a simple, early diagnostic test for preeclampsia.

show abstract

Section: Discussionsupporting

confidence: 90%

Multiomics Longitudinal Modeling of Preeclamptic Pregnancies

Marić

Contrepois

Moufarrej

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Reduced levels of VEGFA have previously been described in preeclamptic pregnancies, owing to increased levels of placental soluble FMS-like tyrosine kinase-1 (sFLT-1), which validate our study. 15 , 41 , 42 Among the other known biomarkers of preeclampsia—sFLT-1, pregnancy-associated plasma protein A (PAPP-A), placental growth factor (PIGF), and endoglin (ENG)—PIGF and PAPP-A were indeed significantly different between normotensive and preeclamptic women ( Figure S15 ). The fact that ENG and sFLT-1 were not significant may be in part due to the small size of our cohort.…”

Section: Discussionmentioning

confidence: 99%