Rapid and high-sensitivity screening of pregnancy complications by profiling circulating placental extracellular vesicles

Herein, we developed a specific, rapid sensor to quantify placental extracellular vesicle (EV) protein biomarkers of early pregnancy complications. A distinct tetraspanin CD9 and placental alkaline phosphatase (PLAP) expression pattern was observed via targeted multiple reaction monitoring of EVs from maternal plasma collected before 18 weeks of gestation. A classification model was developed using training and validation patient sets, distinguishing between individuals at high risk of developing complications from those with normal pregnancies, achieving 80% sensitivity, 90% specificity, 89% positive predictive value (PPV), and 82% negative predictive value (NPV). Superparamagnetic nanoflowers that captured target EVs (CD9<sup>+</sup>/PLAP<sup>+</sup>) were used to construct a 4-flex glass strip nanozymatic readout system. The sensor analyzes plasma for EVs, identifying gestational diabetes mellitus risk with a 95% combined sensitivity, 100% specificity, 100% PPV, and 96% NPV. This nanoplatform identifies individuals at risk of developing pregnancy complications with a >90% classification accuracy, exhibiting potential for clinical applications.

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Publication Details

Journal
Science Advances
Published
2025-02-26
DOI
https://doi.org/10.1126/sciadv.adr4074
Citations
7
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
5.64
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article

Rapid and high-sensitivity screening of pregnancy complications by profiling circulating placental extracellular vesicles

Angela Nakahara, Dominic Guanzon, Soumyalekshmi Nair, Aase Handberg et al.
7 citations
Science Advances
Extracellular vesicles in disease
5.64
article

Rapid and high-sensitivity screening of pregnancy complications by profiling circulating placental extracellular vesicles

Angela Nakahara, Dominic Guanzon, Soumyalekshmi Nair, Aase Handberg, Sherri Longo, Alexis Salas-Burgos, Md. Shahriar A. Hossain, Melissa Razo-Azamar, Andrew Lai, Carlos Palma, Greg Duncombe, Carlos Salomón, David McIntyre, Mostafa Kamal Masud, Flavio Carrión, Yusuke Yamauchi
article en
7 citations

Abstract

Herein, we developed a specific, rapid sensor to quantify placental extracellular vesicle (EV) protein biomarkers of early pregnancy complications. A distinct tetraspanin CD9 and placental alkaline phosphatase (PLAP) expression pattern was observed via targeted multiple reaction monitoring of EVs from maternal plasma collected before 18 weeks of gestation. A classification model was developed using training and validation patient sets, distinguishing between individuals at high risk of developing complications from those with normal pregnancies, achieving 80% sensitivity, 90% specificity, 89% positive predictive value (PPV), and 82% negative predictive value (NPV). Superparamagnetic nanoflowers that captured target EVs (CD9<sup>+</sup>/PLAP<sup>+</sup>) were used to construct a 4-flex glass strip nanozymatic readout system. The sensor analyzes plasma for EVs, identifying gestational diabetes mellitus risk with a 95% combined sensitivity, 100% specificity, 100% PPV, and 96% NPV. This nanoplatform identifies individuals at risk of developing pregnancy complications with a >90% classification accuracy, exhibiting potential for clinical applications.

Science AdvancesVol. 11(9)
Universidad de Santiago de Chile (CL), Mater Health Services (AU), Queensland University of Technology (AU), The University of Queensland (AU), University of Concepción (CL), Royal Brisbane and Women's Hospital (AU), Ochsner Medical Center (US), Aalborg University Hospital (DK), Mater Research (AU), Nagoya University (JP)
Good health and well-being
Openalex Percentile: Top 4%
Extracellular vesicles in disease
5.64
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