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Related Experiment Video

Updated: Feb 16, 2026

Purification of High Yield Extracellular Vesicle Preparations Away from Virus

Purification of High Yield Extracellular Vesicle Preparations Away from Virus

Published on: September 12, 2019

Extracellular vesicles yield predictive pre-eclampsia biomarkers.

Kok Hian Tan¹, Soon Sim Tan², Mor Jack Ng³

¹Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore.

Journal of Extracellular Vesicles

|January 4, 2018

Summary

This summary is machine-generated.

Extracellular vesicle (EV) biomarkers, TIMP-1 and PAI-1, combined with placental growth factor (PlGF), significantly improve pre-eclampsia (PE) prediction in low-risk pregnancies. This study validates EV-associated analytes for enhanced PE screening in general obstetric populations.

Keywords:

Exosomes PAI1 PIGF TIMP1 annexin V biomarkers cholera toxin B chain pre-eclampsia

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Characterizing Extracellular Vesicles from Biological Fluids

Characterizing Extracellular Vesicles from Biological Fluids

Published on: February 28, 2025

Area of Science:

Obstetrics and Gynecology
Biomarker Discovery
Extracellular Vesicle Biology

Background:

Circulating extracellular vesicles (EVs) are recognized sources of disease biomarkers.
Previous studies identified TIMP-1 in CTB-EVs and PAI-1 in AV-EVs as potential pre-eclampsia (PE) biomarkers.
Plasma PlGF is an established biomarker for PE prediction.

Purpose of the Study:

To evaluate if EV-associated biomarkers (CTB-TIMP1 and AV-PAI1) complement plasma PlGF in predicting PE.
To assess the predictive accuracy of these biomarkers in a low-risk obstetric cohort.
To determine the utility of EV biomarkers for PE screening.

Main Methods:

Prospective analysis of 843 plasma samples from the NORA cohort study (28-32 weeks gestation).
Assay of plasma PlGF, CTB-TIMP1, and AV-PAI1 using sandwich ELISAs.
Statistical analysis using stepwise multivariate logistic regression with Firth correction and Area Under the Curve (AUC) calculation.

Main Results:

Nineteen patients developed PE later in gestation.
At 100% sensitivity, individual biomarkers showed AUCs of 0.92 (PlGF), 0.72 (CTB-TIMP1), and 0.69 (AV-PAI1).
Combined biomarkers achieved an AUC of 0.96 with 78.6% specificity and 9.9% positive predictive value (PPV).

Conclusions:

EV-associated analytes (CTB-TIMP1 and AV-PAI1) enhance the predictive performance of plasma PlGF for PE.
This combined approach demonstrates sufficient predictive robustness for PE screening in low-risk obstetric populations.
This study provides the first large-cohort validation of EV-associated analytes as disease biomarkers.