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Detection of tissue factor–positive extracellular vesicles using the ExoView R100 system

BACKGROUND: Tissue factor (TF) is essential for hemostasis. TF-expressing extracellular vesicles (TF(+) EVs) are released in pathological conditions, such as trauma and cancer, and are linked to thrombosis. Detection of TF(+) EV antigenically in plasma is challenging due to their low concentration b...

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Autores principales: Price, Joshua M.J., Hisada, Yohei, Hazeldine, Jon, Bae-Jump, Victoria, Luther, Thomas, Mackman, Nigel, Harrison, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276261/
https://www.ncbi.nlm.nih.gov/pubmed/37333992
http://dx.doi.org/10.1016/j.rpth.2023.100177
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author Price, Joshua M.J.
Hisada, Yohei
Hazeldine, Jon
Bae-Jump, Victoria
Luther, Thomas
Mackman, Nigel
Harrison, Paul
author_facet Price, Joshua M.J.
Hisada, Yohei
Hazeldine, Jon
Bae-Jump, Victoria
Luther, Thomas
Mackman, Nigel
Harrison, Paul
author_sort Price, Joshua M.J.
collection PubMed
description BACKGROUND: Tissue factor (TF) is essential for hemostasis. TF-expressing extracellular vesicles (TF(+) EVs) are released in pathological conditions, such as trauma and cancer, and are linked to thrombosis. Detection of TF(+) EV antigenically in plasma is challenging due to their low concentration but may be of clinical utility. OBJECTIVES: We hypthesised that ExoView can allow for direct measurement of TF(+) EV in plasma, antigenically. METHODS: We utilized the anti-TF monoclonal antibody 5G9 to capture TF EV onto specialized ExoView chips. This was combined with fluorescent TF(+) EV detection using anti-TF monoclonal antibody IIID8-AF647. We measured tumor cell-derived (BxPC-3) TF(+) EV and TF(+) EVs from plasma derived from whole blood with or without lipopolysaccharide (LPS) stimulation. We used this system to analyze TF(+) EVs in 2 relevant clinical cohorts: trauma and ovarian cancer. We compared ExoView results with an EV TF activity assay. RESULTS: BxPC-3-derived TF(+) EVs were identified with ExoView using 5G9 capture with IIID8-AF647 detection. 5G9 capture with IIID8-AF647 detection was significantly higher in LPS+ samples than in LPS samples and correlated with EV TF activity (R(2) = 0.28). Trauma patient samples had higher levels of EV TF activity than healthy controls, but activity did not correlate with TF measurements made by ExoView (R(2) = 0.15). Samples from patients with ovarian cancer have higher levels of EV TF activity than those from healthy controls, but activity did not correlate with TF measurement by ExoView (R(2) = 0.0063). CONCLUSION: TF(+) EV measurement is possible in plasma, but the threshold and potential clinical applicability of ExoView R100, in this context, remain to be established.
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spelling pubmed-102762612023-06-18 Detection of tissue factor–positive extracellular vesicles using the ExoView R100 system Price, Joshua M.J. Hisada, Yohei Hazeldine, Jon Bae-Jump, Victoria Luther, Thomas Mackman, Nigel Harrison, Paul Res Pract Thromb Haemost Original Article BACKGROUND: Tissue factor (TF) is essential for hemostasis. TF-expressing extracellular vesicles (TF(+) EVs) are released in pathological conditions, such as trauma and cancer, and are linked to thrombosis. Detection of TF(+) EV antigenically in plasma is challenging due to their low concentration but may be of clinical utility. OBJECTIVES: We hypthesised that ExoView can allow for direct measurement of TF(+) EV in plasma, antigenically. METHODS: We utilized the anti-TF monoclonal antibody 5G9 to capture TF EV onto specialized ExoView chips. This was combined with fluorescent TF(+) EV detection using anti-TF monoclonal antibody IIID8-AF647. We measured tumor cell-derived (BxPC-3) TF(+) EV and TF(+) EVs from plasma derived from whole blood with or without lipopolysaccharide (LPS) stimulation. We used this system to analyze TF(+) EVs in 2 relevant clinical cohorts: trauma and ovarian cancer. We compared ExoView results with an EV TF activity assay. RESULTS: BxPC-3-derived TF(+) EVs were identified with ExoView using 5G9 capture with IIID8-AF647 detection. 5G9 capture with IIID8-AF647 detection was significantly higher in LPS+ samples than in LPS samples and correlated with EV TF activity (R(2) = 0.28). Trauma patient samples had higher levels of EV TF activity than healthy controls, but activity did not correlate with TF measurements made by ExoView (R(2) = 0.15). Samples from patients with ovarian cancer have higher levels of EV TF activity than those from healthy controls, but activity did not correlate with TF measurement by ExoView (R(2) = 0.0063). CONCLUSION: TF(+) EV measurement is possible in plasma, but the threshold and potential clinical applicability of ExoView R100, in this context, remain to be established. Elsevier 2023-05-16 /pmc/articles/PMC10276261/ /pubmed/37333992 http://dx.doi.org/10.1016/j.rpth.2023.100177 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Article
Price, Joshua M.J.
Hisada, Yohei
Hazeldine, Jon
Bae-Jump, Victoria
Luther, Thomas
Mackman, Nigel
Harrison, Paul
Detection of tissue factor–positive extracellular vesicles using the ExoView R100 system
title Detection of tissue factor–positive extracellular vesicles using the ExoView R100 system
title_full Detection of tissue factor–positive extracellular vesicles using the ExoView R100 system
title_fullStr Detection of tissue factor–positive extracellular vesicles using the ExoView R100 system
title_full_unstemmed Detection of tissue factor–positive extracellular vesicles using the ExoView R100 system
title_short Detection of tissue factor–positive extracellular vesicles using the ExoView R100 system
title_sort detection of tissue factor–positive extracellular vesicles using the exoview r100 system
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276261/
https://www.ncbi.nlm.nih.gov/pubmed/37333992
http://dx.doi.org/10.1016/j.rpth.2023.100177
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