Nano-scavengers for blood biomarker discovery in ovarian carcinoma

The development and implementation of biomarker-based screening tools for ovarian cancer require novel analytical platforms to enable the discovery of biomarker panels that will overcome the limitations associated with the clinically used CA-125.The systematic discovery of protein biomarkers directly from human plasma using proteomics remains extremely challenging, due to the wide concentration range of plasma proteins. Here, we describe the use of lipid-based nanoparticles (NPs) as an 'omics' enrichment tool to amplify cancer signals in the blood and to uncover disease specific signatures. We aimed to exploit the spontaneous interaction of clinically-used liposomes (Caelyx®) with plasma proteins, also known as' protein corona' formation, in order to facilitate the discovery of previously unreported differentially abundant molecules. Caelyx® liposomes were incubated with plasma samples obtained from advanced ovarian carcinoma patients and healthy donors and corona-coated liposomes were subsequently recovered. Comprehensive comparison between 'healthy' and 'diseased' corona samples by label-free proteomics resulted in the identification of multiple differentially abundant proteins. Moreover, immunoassay-based validation of selected proteins demonstrated the potential of nanoparticle-platform proposed to discover novel molecules with great diagnostic potential. This study proposes a nanoparticle-enabled workflow for plasma proteomic analysis in healthy and diseased states and paves the way for further work needed to discover and validate panels of novel biomarkers for disease diagnosis and monitoring

Protein corona fingerprinting to differentiate sepsis from non-infectious systemic inflammation

Rapid and accurate diagnosis of sepsis remains clinically challenging. The lack of specific biomarkers that can differentiate sepsis from non-infectious systemic inflammatory diseases often leads to excessive antibiotic treatment. Novel diagnostic tests are urgently needed to rapidly and accurately diagnose sepsis and enable effective treatment. Despite investment in cutting-edge technologies available today, the discovery of disease-specific biomarkers in blood remains extremely difficult. The highly dynamic environment of plasma restricts access to vital diagnostic information that can be obtained by proteomic analysis. Here, we employed clinically used lipid-based nanoparticles (AmBisome®) as an enrichment platform to analyze the human plasma proteome in the setting of sepsis. We exploited the spontaneous interaction of plasma proteins with nanoparticles (NPs) once in contact, called the 'protein corona', to discover previously unknown disease-specific biomarkers for sepsis diagnosis. Plasma samples obtained from non-infectious acute systemic inflammation controls and sepsis patients were incubated ex vivo with AmBisome® liposomes, and the resultant protein coronas were thoroughly characterised and compared by mass spectrometry (MS)-based proteomics. Our results demonstrate that the proposed nanoparticle enrichment technology enabled the discovery of 67 potential biomarker proteins that could reproducibly differentiate non-infectious acute systemic inflammation from sepsis. This study provides proof-of-concept evidence that nanoscale-based 'omics' enrichment technologies have the potential to substantially improve plasma proteomics analysis and to uncover novel biomarkers in a challenging clinical setting

The lipidomic profile of the nanoparticle-biomolecule corona reflects the diversity of plasma lipids

The spontaneous self-assembly of biomolecules around the surface of nanoparticles (NPs) once exposed to plasma and other biofluids, has been termed the ‘biomolecule corona’. While the protein composition of the biomolecule corona has been widely characterised, the interaction of NPs with the plasma lipidome has not been fully investigated. Here, we use targeted and untargeted lipidomics to analyse a wide spectrum of bioactive lipids adsorbed onto the surface of liposome NPs post-incubation with human plasma. Our data indicate that the biomolecule corona contains a diverse mixture of simple and complex lipid species, including sphingolipids such as ceramides and sphingomyelins, glycerolipids, glycerophospholipids, cholesteryl esters, as well as oxylipin and N-acyl ethanolamine derivatives of fatty acids. Although the corona lipidomic profiles reflected the overall composition of the plasma lipidome, monohydroxy- and oxo-fatty acid oxylipins, mono-, di- and tri- acylglycerols, sphingomyelins and ceramides showed a preferential binding for liposome NP surface. Interestingly, the biomolecule corona lipid profiles appeared to mirror those of the lipoprotein lipid cargo, suggesting that lipid species may be carried within the lipoprotein complexes attached to the corona. Proteomic analysis of corona-associated proteins showed the presence of several apolipoproteins (A-I, A-II, A-IV, B, C-I, C-III, C-IV, C2-C4, D, E, L, M and lipoprotein Lp(A)), supporting this notion. Our findings reveal the wide lipid diversity of the biomolecule corona and indicate a potential lipoprotein-mediated adsorption mechanism of lipids onto liposome NPs, highlighting the importance of bridging proteomics with lipidomics to fully comprehend the interactions at the bio-nano interface.</p

Nano-scavengers for blood biomarker discovery in ovarian carcinoma

The development and implementation of biomarker-based screening tools for ovarian cancer require novel analytical platforms to enable the discovery of biomarker panels that will overcome the limitations associated with the clinically used CA-125.The systematic discovery of protein biomarkers directly from human plasma using proteomics remains extremely challenging, due to the wide concentration range of plasma proteins. Here, we describe the use of lipid-based nanoparticles (NPs) as an 'omics' enrichment tool to amplify cancer signals in the blood and to uncover disease specific signatures. We aimed to exploit the spontaneous interaction of clinically-used liposomes (Caelyx®) with plasma proteins, also known as' protein corona' formation, in order to facilitate the discovery of previously unreported differentially abundant molecules. Caelyx® liposomes were incubated with plasma samples obtained from advanced ovarian carcinoma patients and healthy donors and corona-coated liposomes were subsequently recovered. Comprehensive comparison between 'healthy' and 'diseased' corona samples by label-free proteomics resulted in the identification of multiple differentially abundant proteins. Moreover, immunoassay-based validation of selected proteins demonstrated the potential of nanoparticle-platform proposed to discover novel molecules with great diagnostic potential. This study proposes a nanoparticle-enabled workflow for plasma proteomic analysis in healthy and diseased states and paves the way for further work needed to discover and validate panels of novel biomarkers for disease diagnosis and monitoring

Nano-scavengers for blood biomarker discovery in ovarian carcinoma

The development and implementation of biomarker-based screening tools for ovarian cancer require novel analytical platforms to enable the discovery of biomarker panels that will overcome the limitations associated with the clinically used CA-125.The systematic discovery of protein biomarkers directly from human plasma using proteomics remains extremely challenging, due to the wide concentration range of plasma proteins. Here, we describe the use of lipid-based nanoparticles (NPs) as an 'omics' enrichment tool to amplify cancer signals in the blood and to uncover disease specific signatures. We aimed to exploit the spontaneous interaction of clinically-used liposomes (Caelyx®) with plasma proteins, also known as' protein corona' formation, in order to facilitate the discovery of previously unreported differentially abundant molecules. Caelyx® liposomes were incubated with plasma samples obtained from advanced ovarian carcinoma patients and healthy donors and corona-coated liposomes were subsequently recovered. Comprehensive comparison between 'healthy' and 'diseased' corona samples by label-free proteomics resulted in the identification of multiple differentially abundant proteins. Moreover, immunoassay-based validation of selected proteins demonstrated the potential of nanoparticle-platform proposed to discover novel molecules with great diagnostic potential. This study proposes a nanoparticle-enabled workflow for plasma proteomic analysis in healthy and diseased states and paves the way for further work needed to discover and validate panels of novel biomarkers for disease diagnosis and monitoring