From isolation to detection, advancing insights into endothelial matrix-bound vesicles

Matrix-bound vesicles (MBVs), an integral part of the extracellular matrix (ECM), are emerging as pivotal factors in ECM-driven molecular signaling. This study is the first to report the isolation of MBVs from porcine arterial endothelial cell basement membranes (A-MBVs) and thyroid cartilage (C-MBVs), the latter serving as a negative control due to its minimal vascular characteristics. Using Transmission Electron Microscopy (TEM), Nano-Tracking Analysis (NTA), Electrochemical Impedance Spectroscopy (EIS), and Atomic Force Microscopy (AFM), we orthogonally characterized the isolated MBVs. We detected the presence and preservation of vascular endothelial cadherin (CD144) in A-MBVs, its low to non-detetcted in C-MBVs, in which SOX9, a chondrocyte marker, was detected. Moreover, we developed a prototype of an immuno-functionalized screen-printed electrode designed for the immunoadsorption of CD144+ MBVs. This device facilitated the electrochemical detection of the targeted vesicles and allowed for their subsequent topological characterization using AFM, which verified the integrity and morphology of CD144+ MBVs post-immunoadsorption. These advancements enhance our comprehension of MBVs as conveyors of tissue-specific signals and pioneer new avenues for harnessing their cargo in biomedical applications. This research sets a significant precedent for future studies on the application of MBVs in regenerative medicine and ECM signaling.

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Institutions

Publication Details

Journal
Extracellular Vesicle
Published
2024-12-01
DOI
https://doi.org/10.1016/j.vesic.2024.100060
Citations
3
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.70

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From isolation to detection, advancing insights into endothelial matrix-bound vesicles

Donald O. Freytes, William Meza-Morales, Camilo Mora‐Navarro, Lisandro Cunci et al.
3 citations
Extracellular Vesicle
Extracellular vesicles in disease
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article

From isolation to detection, advancing insights into endothelial matrix-bound vesicles

Donald O. Freytes, William Meza-Morales, Camilo Mora‐Navarro, Lisandro Cunci, Luis López, Sahimy Ayus-Martinez, Jesus Jimenez-Osorio, Maria Buendia-Otero
article en
3 citations

Abstract

Matrix-bound vesicles (MBVs), an integral part of the extracellular matrix (ECM), are emerging as pivotal factors in ECM-driven molecular signaling. This study is the first to report the isolation of MBVs from porcine arterial endothelial cell basement membranes (A-MBVs) and thyroid cartilage (C-MBVs), the latter serving as a negative control due to its minimal vascular characteristics. Using Transmission Electron Microscopy (TEM), Nano-Tracking Analysis (NTA), Electrochemical Impedance Spectroscopy (EIS), and Atomic Force Microscopy (AFM), we orthogonally characterized the isolated MBVs. We detected the presence and preservation of vascular endothelial cadherin (CD144) in A-MBVs, its low to non-detetcted in C-MBVs, in which SOX9, a chondrocyte marker, was detected. Moreover, we developed a prototype of an immuno-functionalized screen-printed electrode designed for the immunoadsorption of CD144+ MBVs. This device facilitated the electrochemical detection of the targeted vesicles and allowed for their subsequent topological characterization using AFM, which verified the integrity and morphology of CD144+ MBVs post-immunoadsorption. These advancements enhance our comprehension of MBVs as conveyors of tissue-specific signals and pioneer new avenues for harnessing their cargo in biomedical applications. This research sets a significant precedent for future studies on the application of MBVs in regenerative medicine and ECM signaling.

Extracellular VesicleVol. 4
North Carolina State University (US), University of Puerto Rico at Río Piedras (PR), University of Puerto Rico-Mayaguez (PR)
National Science Foundation, Puerto Rico Science, Technology and Research Trust, National Institutes of Health
Zero hunger
Openalex Percentile: Top 28%
Extracellular vesicles in disease
0.70
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