A decade of the liposome-protein corona: Lessons learned and future breakthroughs in theranostics

Quagliarini, Erica; Digiacomo, Luca; Renzi, Serena; Pozzi, Daniela; Caracciolo, Giulio

doi:10.1016/j.nantod.2022.101657

Cited by 16 publications

(13 citation statements)

References 132 publications

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“…As the optimization of LNPs and their translation from in vitro to clinic is complicated by the biological identity of LNPs in contact with biological fluids (phenomenon including the protein corona) [ 2 ], particular focus is placed upon the development of experimental techniques for evaluating this phenomenon.…”

Section: Discussionmentioning

confidence: 99%

“…Its ease of implementation (low required volumes and materials) and its benefits over traditional methods to separate LNPs bound to proteins from free proteins make of this method an interesting tool. Indeed, separation methods no longer reflect the practical in vivo dynamic equilibrium between the adsorption and desorption of proteins, or the establishment of a soft corona around the high affinity proteins directly grafted around LNPs forming the hard corona [ 2 ].…”

Section: Discussionmentioning

confidence: 99%

“…The authors discussed these results, suggesting that the protein corona could either hinder the uptake process or facilitate it due to other receptor-mediated phenomenon [ 4 ]. Even if the protein corona has been described to inhibit transfection, it now appears that some of the proteins included in this corona could specifically interact with cellular processes and particles trafficking [ 2 ]. Regarding the results obtained in this study, it could then be hypothesized that C14 lipids-PEG dissociate in serum, which can facilitate transfection, as PEG is known to prevent the cellular uptake and endosomal escape processes [ 6 ].…”

Section: Discussionmentioning

confidence: 99%

“…While the use of PEG is important in order to confer steric stability and increase the elimination half-time of particles, the type of lipid associated with the PEG can therefore have a significant impact on its in vivo behavior. It is indeed largely described that one of the most important limitation between in vivo and in vitro translation is the important changes to LNPs’ identities when they reach biological fluids [ 2 ]. Regarding the PEG chain, an intermediate length—such as molecular weight of 2000 g/mol, i.e., ~45 repetition units (PEG 2000 )—is commonly used, as this provides a good compromise between increased elimination half-time and efficient gene delivery.…”

Section: Introductionmentioning

confidence: 99%

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Effect of PEG Anchor and Serum on Lipid Nanoparticles: Development of a Nanoparticles Tracking Method

et al. 2023

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Polyethylene glycol (PEG) is used in Lipid Nanoparticles (LNPs) formulations to confer stealth properties and is traditionally anchored in membranes by a lipid moiety whose length significantly impacts the LNPs fate in vivo. C18 acyl chains are efficiently anchored in the membrane, while shorter C14 lipids are quickly desorbed and replaced by a protein corona responsible for the completely different fate of LNPs. In this context, a method to predict the biological behavior of LNPs depending on the lipid-PEG dissociation was developed using the Nanoparticle Tracking Analysis (NTA) method in serum. Two formulations of siRNA-containing LNPs were prepared including CSL3 or SM-102 lipids and were grafted with different lipids-PEG (C18, C14 lipids-PEG, and Ceramide-PEG). The impact of the lipid-PEG on the interactions between LNPs and serum components was demonstrated by monitoring the mean particle size and the concentration over time. In vitro, these formulations demonstrated low toxicity and efficient gene knockdown on tumor MDA-MB-231 cells, but serum was found to significantly impact the efficiency of C18-PEG-based LNPs, while it did not impact the efficiency of C14-PEG-based LNPs. The NTA method demonstrated the ability to discriminate between the behaviors of LNPs according to serum proteins’ interactions. CSL3 lipid and Cer-PEG were confirmed to have promise for LNP formulation.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effect of PEG Anchor and Serum on Lipid Nanoparticles: Development of a Nanoparticles Tracking Method

et al. 2023

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“…It is well known that cancer produces alterations in the human proteome from the earliest stages and these changes can signi cantly in uence the composition of the protein corona. Having demonstrated that the protein corona is personalized paved the way for test development of the NEB test for the early diagnosis of PDAC [31,32] and provided an impetus to serious work in this eld. As an instance, we have shown that coupling the outcomes of the NEB test with the values of speci c clinical parameters can boost the predictive capacity of the test itself [16].…”

Section: Discussionmentioning

confidence: 99%

Coupling magnetic levitation of graphene oxide-protein complexes with blood levels of glucose for early detection of pancreatic adenocarcinoma

Quagliarini

Caputo

Cammarata

et al. 2022

Preprint

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Introduction Pancreatic adenocarcinoma (PDAC) has a poor prognosis since often diagnosed too late. Dyslipidemia and hyperglycemia are considered risk factors, but the presence of the tumor itself can determine the onset of these disorders. Therefore, it is not easy to predict which subjects with diabetes or dyslipidemia will develop or have already developed PDAC. Over the past decade, tests based on the use of nanotechnology, alone or coupled with common laboratory tests (e.g., hemoglobin levels), have proven useful in aiding the diagnosis of PDAC. Tests based on magnetic levitation (MagLev) have demonstrated high diagnostic accuracy in compliance with the REASSURED criteria. Here we aimed to assess the ability of the MagLev test in detecting PDAC when coupled with the blood levels of glycemia, cholesterol, and triglycerides. Methods Blood samples from 24 PDAC patients and 22 healthy controls were collected. Human plasma was let to interact with graphene oxide (GO) nanosheets and the emerging coronated systems were put in the MagLev device. Outcomes from Maglev experiments were coupled to glycemia, cholesterol, and triglycerides levels. Linear discriminant analysis (LDA) was carried out to evaluate the classification ability of the test in terms of specificity, sensitivity, and global accuracy. Statistical analysis was performed with Matlab (MathWorks, Natick, MA, USA, Version R2022a) software. Results The positions of the levitating bands were measured at the starting point (i.e., as soon as the cuvette containing the sample was subjected to the magnetic field). Significant variations in the starting position of levitating nanosystems in controls and PDACs were detected. The combination of the MagLev outcomes with the blood glycemic levels returned the best value of global accuracy (91%) if compared to the coupling with those of cholesterol and triglycerides (global accuracy of ~77% and 84%, respectively). Conclusion If confirmed by further studies on larger cohorts, a multiplexed Maglev-based nanotechnology-enabled blood test could be employed as a screening tool for PDAC in populations with hyperglycemia.

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Intelligent Sonocatalytic Nanoagents for Energy Conversion‐Based Therapies

Feng,

Xiang,

Huang

et al. 2023

Adv Funct Materials

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Sonodynamic therapy (SDT) utilizes ultrasound‐irradiating sonosensitizers to convert ultrasonic vibrations into chemical energy and produce reactive oxygen species (ROS) that cause cell apoptosis or necrosis. SDT demonstrates significant potential in the treatment of deep tumors without normal tissue damage. Rapid advances in the efficacy of SDT have enabled the rational design and construction of novel intelligent sonocatalytic nanoagents (SCNs) with various functions for versatile biomedical applications. Herein, the most recent critical advancements in intelligent SCNs for energy conversion‐based therapies are discussed. Typical SCNs including organic molecules, organic micro‐/nanoparticles, inorganic micro‐/nanoparticles, organic/inorganic hybrids, and piezoelectric materials are introduced and summarized in detail. Furthermore, these intelligent SCNs are designed for different energy conversion‐based therapies such as SDT, SDT‐assisted chemotherapy, SDT‐assisted photodynamic therapy, SDT‐assisted photothermal therapy, SDT‐assisted gas therapy, SDT‐assisted sonoporation from the cell membrane to the blood brain barrier, and high‐intensity focused ultrasound‐based sonothermal therapy. It is believed that this review will provide an overview of the application of intelligent SCNs in sonodynamic therapies to better understand the limitations and challenges of these SCNs and further promote their advancements for a broad range of biomedical applications.

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A decade of the liposome-protein corona: Lessons learned and future breakthroughs in theranostics

Cited by 16 publications

References 132 publications

Effect of PEG Anchor and Serum on Lipid Nanoparticles: Development of a Nanoparticles Tracking Method

Effect of PEG Anchor and Serum on Lipid Nanoparticles: Development of a Nanoparticles Tracking Method

Coupling magnetic levitation of graphene oxide-protein complexes with blood levels of glucose for early detection of pancreatic adenocarcinoma

Intelligent Sonocatalytic Nanoagents for Energy Conversion‐Based Therapies

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