TY - JOUR
T1 - Protein Corona Sensor Array Nanosystem for Detection of Coronary Artery Disease
AU - Lee, Gha Young
AU - Li, Andrew A.
AU - Moon, Intae
AU - Katritsis, Demos
AU - Pantos, Yoannis
AU - Stingo, Francesco
AU - Fabbrico, Davide
AU - Molinaro, Roberto
AU - Taraballi, Francesca
AU - Tao, Wei
AU - Corbo, Claudia
N1 - Funding Information:
The research conducted in this manuscript was supported by the Italian Ministry of Health, Ricerca Corrente 2022, project RC L2089 by the University of Milano Bicocca, project 2019‐ATE‐0254, and project 2018‐ATE‐0400 to C.C.
Publisher Copyright:
© 2023 The Authors. Small published by Wiley-VCH GmbH.
PY - 2024/3/8
Y1 - 2024/3/8
N2 - Coronary artery disease (CAD) is the most common type of heart disease and represents the leading cause of death in both men and women worldwide. Early detection of CAD is crucial for decreasing mortality, prolonging survival, and improving patient quality of life. Herein, a non-invasive is described, nanoparticle-based diagnostic technology which takes advantages of proteomic changes in the nano-bio interface for CAD detection. Nanoparticles (NPs) exposed to biological fluids adsorb on their surface a layer of proteins, the “protein corona” (PC). Pathological changes that alter the plasma proteome can directly result in changes in the PC. By forming disease-specific PCs on six NPs with varying physicochemical properties, a PC-based sensor array is developed for detection of CAD using specific PC pattern recognition. While the PC of a single NP may not provide the required specificity, it is reasoned that multivariate PCs across NPs with different surface chemistries, can provide the desirable information to selectively discriminate the condition under investigation. The results suggest that such an approach can detect CAD with an accuracy of 92.84%, a sensitivity of 87.5%, and a specificity of 82.5%. These new findings demonstrate the potential of PC-based sensor array detection systems for clinical use.
AB - Coronary artery disease (CAD) is the most common type of heart disease and represents the leading cause of death in both men and women worldwide. Early detection of CAD is crucial for decreasing mortality, prolonging survival, and improving patient quality of life. Herein, a non-invasive is described, nanoparticle-based diagnostic technology which takes advantages of proteomic changes in the nano-bio interface for CAD detection. Nanoparticles (NPs) exposed to biological fluids adsorb on their surface a layer of proteins, the “protein corona” (PC). Pathological changes that alter the plasma proteome can directly result in changes in the PC. By forming disease-specific PCs on six NPs with varying physicochemical properties, a PC-based sensor array is developed for detection of CAD using specific PC pattern recognition. While the PC of a single NP may not provide the required specificity, it is reasoned that multivariate PCs across NPs with different surface chemistries, can provide the desirable information to selectively discriminate the condition under investigation. The results suggest that such an approach can detect CAD with an accuracy of 92.84%, a sensitivity of 87.5%, and a specificity of 82.5%. These new findings demonstrate the potential of PC-based sensor array detection systems for clinical use.
KW - cardiovascular disease detection
KW - nano-assay
KW - nanomedicine
KW - protein corona
KW - sensor arrays
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U2 - 10.1002/smll.202306168
DO - 10.1002/smll.202306168
M3 - Article
C2 - 37880910
AN - SCOPUS:85174733842
SN - 1613-6810
VL - 20
JO - Small
JF - Small
IS - 10
M1 - 2306168
ER -