Placental Exosomes as Biomarkers for Maternal Diseases: Current Advances in Isolation, Characterization, and Detection
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Sallam, Mohamed
Islam, Md Sajedul
Clack, Kimberley
Soda, Narshone
Nguyen, Nam-Trung
Shiddiky, Muhammad JA
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Abstract
Serving as the interface between fetal and maternal circulation, the placenta plays a critical role in fetal growth and development. Placental exosomes are small membrane-bound extracellular vesicles released by the placenta during pregnancy. They contain a variety of biomolecules, including lipids, proteins, and nucleic acids, which can potentially be biomarkers of maternal diseases. An increasing number of studies have demonstrated the utility of placental exosomes for the diagnosis and monitoring of pathological conditions such as pre-eclampsia and gestational diabetes. This suggests that placental exosomes may serve as new biomarkers in liquid biopsy analysis. This review provides an overview of the current understanding of the biological function of placental exosomes and their potential as biomarkers of maternal diseases. Additionally, this review highlights current barriers and the way forward for standardization and validation of known techniques for exosome isolation, characterization, and detection. Finally, microfluidic devices for exosome research are discussed.
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ACS Sensors
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8
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7
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This document is the Accepted Manuscript version of a Published Work that appeared in final form in ACS Sensors, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see http://doi.org/10.1021/acssensors.3c00689.
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Biomedical engineering
Biomedical instrumentation
Analytical chemistry
Electronics, sensors and digital hardware
Science & Technology
Physical Sciences
Chemistry, Multidisciplinary
Chemistry, Analytical
Nanoscience & Nanotechnology
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Nguyen, CM; Sallam, M; Islam, MS; Clack, K; Soda, N; Nguyen, N-T; Shiddiky, MJA, Placental Exosomes as Biomarkers for Maternal Diseases: Current Advances in Isolation, Characterization, and Detection, ACS Sensors, 2023, 8 (7), pp. 2493-2513