Today, early disease detection (EDD) is a matter of more importance than ever in medicine. Upon interaction with human plasma, nanoparticles are covered by proteins leading to formation of a biomolecular corona (BC). As the protein patterns of patients with conditions differ from those of healthy subjects, current research into technologies based on the exploitation of personalized BC patterns could be a turning point for early disease detection. Here, we present a framework based on principal component analysis of large personalized BC datasets. We comment on how principal component analysis of personalized BC data is a fundamental step towards turning the output of basic research into fast, safe and inexpensive technologies with superior prediction ability than current methods.

Principal component analysis of personalized biomolecular corona data for early disease detection / Papi, Massimiliano; Caracciolo, Giulio. - In: NANO TODAY. - ISSN 1748-0132. - 21:(2018), pp. 14-17. [10.1016/j.nantod.2018.03.001]

Principal component analysis of personalized biomolecular corona data for early disease detection

Caracciolo, Giulio
2018

Abstract

Today, early disease detection (EDD) is a matter of more importance than ever in medicine. Upon interaction with human plasma, nanoparticles are covered by proteins leading to formation of a biomolecular corona (BC). As the protein patterns of patients with conditions differ from those of healthy subjects, current research into technologies based on the exploitation of personalized BC patterns could be a turning point for early disease detection. Here, we present a framework based on principal component analysis of large personalized BC datasets. We comment on how principal component analysis of personalized BC data is a fundamental step towards turning the output of basic research into fast, safe and inexpensive technologies with superior prediction ability than current methods.
2018
biomolecular corona; early disease detection; nanomedicine; personalized medicine; principal component analysis; biotechnology; bioengineering; biomedical engineering; materials science
01 Pubblicazione su rivista::01a Articolo in rivista
Principal component analysis of personalized biomolecular corona data for early disease detection / Papi, Massimiliano; Caracciolo, Giulio. - In: NANO TODAY. - ISSN 1748-0132. - 21:(2018), pp. 14-17. [10.1016/j.nantod.2018.03.001]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1247470
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