Back

Efficient internalization of poly(benzyl malate) and poly(ethylene glycol)-b-poly(benzyl malate) copolymer based nanoparticles by human hepatic HepaRG cells and macrophages : Impact of nanoparticle functionalization by GBVA10-9 peptide on cell uptake.

NAHAS, H.; SABA, S.; METLEJ, P.; RIBAULT, C.; VENE, E.; LEPAREUR, N.; CAMMAS-MARION, S.; LOYER, P.

2024-07-26 cell biology
10.1101/2024.07.26.605135 bioRxiv
Show abstract

In the past years, we have designed biodegradable poly(benzyl malate) (PMLABe73) homopolymer and amphiphilic poly(ethylene glycol)-b-PMLABe (PEG42-b-PMLABe73) copolymer and several modified (co)polymers to produce biocompatible polymeric nanoparticles (NPs) capable of targeting hepatic cells in vitro with the goal to develop applications in the treatment of liver diseases. The current study aimed at comparing the uptake of PMLABe73 PEG42-b-PMLABe73-based NPs in human hepatic HepaRG cells, primary macrophages and peripheral blood mononuclear cells (PBMC). The uptake of NPs prepared from PEG42-b-PMLABe73 was significantly lower than that of PMLABe73 in both hepatic cells and macrophages. In addition, the NPs uptake by HepaRG cells was inversely correlated to the density of PEG present on their surface. In contrast, the internalization of with PMLABe-based NPs by human macrophages was not affected by low PEG densities, only uptake of fully pegylated PEG42-b-PMLABe73based-NPs was significantly decreased. Herein, we also showed that PMLABe-based NPs did not strongly accumulated in PBMC, T lymphocytes and neutrophils while monocytes showed slightly higher uptake of these NPs. Moreover, we further demonstrated that PMLABe-derived NPs by did not trigger inflammasome activation and secretion of pro-inflammatory cytokines neither in macrophages nor HepaRG cells. Then, we demonstrated that peptide GBVA10-9 derived from George Baker (GB) Virus A, known to exhibit a good hepatotropism did not significantly affect the uptake of PMLABe73-based NPs in HepaRG cells and macrophages, when grafted onto these NPs. The present results demonstrate that PMLABe-derived NPs are very efficiently internalized in both macrophages and hepatocytes but not in PBMC and reinforce our previous reports regarding their biocompatibility.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Pharmaceutics
21 papers in training set
Top 0.1%
27.3%
2
Biomaterials Science
21 papers in training set
Top 0.1%
6.7%
3
Journal of Nanobiotechnology
10 papers in training set
Top 0.1%
5.1%
4
ACS Applied Bio Materials
21 papers in training set
Top 0.1%
5.1%
5
Pharmaceuticals
33 papers in training set
Top 0.1%
3.8%
6
Scientific Reports
3102 papers in training set
Top 43%
2.9%
50% of probability mass above
7
International Journal of Molecular Sciences
453 papers in training set
Top 5%
2.2%
8
International Journal of Biological Macromolecules
65 papers in training set
Top 1%
2.2%
9
PLOS ONE
4510 papers in training set
Top 50%
1.9%
10
Biomaterials Advances
20 papers in training set
Top 0.3%
1.8%
11
ACS Biomaterials Science & Engineering
37 papers in training set
Top 0.5%
1.8%
12
Journal of Controlled Release
39 papers in training set
Top 0.5%
1.8%
13
Advanced Functional Materials
41 papers in training set
Top 1%
1.3%
14
ACS Applied Materials & Interfaces
39 papers in training set
Top 0.7%
1.3%
15
Viruses
318 papers in training set
Top 4%
1.2%
16
Molecular Therapy Nucleic Acids
32 papers in training set
Top 0.5%
1.0%
17
Molecular Pharmaceutics
16 papers in training set
Top 0.4%
0.9%
18
Biomedicines
66 papers in training set
Top 2%
0.9%
19
Biomaterials
78 papers in training set
Top 0.9%
0.9%
20
Materials Today Bio
18 papers in training set
Top 0.5%
0.8%
21
Journal of Extracellular Biology
18 papers in training set
Top 0.1%
0.8%
22
Frontiers in Pharmacology
100 papers in training set
Top 4%
0.8%
23
Cellular and Molecular Bioengineering
21 papers in training set
Top 0.3%
0.8%
24
Molecules
37 papers in training set
Top 2%
0.8%
25
Acta Biomaterialia
85 papers in training set
Top 0.8%
0.8%
26
Chemical Engineering Journal
10 papers in training set
Top 0.6%
0.8%
27
ACS Nano
99 papers in training set
Top 4%
0.8%
28
Advanced Biology
29 papers in training set
Top 1%
0.7%
29
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 10%
0.7%
30
RSC Advances
18 papers in training set
Top 2%
0.5%