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 the ir
biocompatibility.
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I- INTRODUCTION
Drugs administered by oral route and systemic injection distribute evenly throughout
the body resulting in limited bioavailability deleterious, their rapid metabolism and elimination
by the liver and kidneys and, in some cases in side-effects in healthy organs. Low bioavailability
and inability to address chemotherapies to target tissues significantly contributes to the retrieval
of promising molecules and low efficacy of approved drugs [Kola and Landis, 2004 ; Blanco
et al., 2015]. In addition, the development of certain drugs is sometimes slowed down or even
ended due to problems with their solubility or stability.
The field of nanotechnologies has grown exponentially in the past decades with the
production of a plethora of nanovectors for multiple applications in medicine. The term of drug
delivery nanovectors refers as to engineered molecular systems embedding pharmaceutical
compounds in order to reduce their biotransformation and clearance while improving the
therapeutic index by limiting the side effects of the bioactive molecules [Hoffman, 2008]. Drug
delivery is thus a general concept that considers the interaction between the drug and transport
system, the dosage and the route of administration. The development of efficient drug delivery
systems requires the elaboration of biocompatible synthetic materials that self -assemble in
aqueous solution to form nanoparticles (NPs) capable to encapsulate large amounts of bioactive
compounds and to release of these pharmaceutical compounds in a controlled man ner and in
specific areas of the body [ Torchilin, 2006 ; Hoffman, 2008 ]. In this context, NPs with a
hydrophobic core are also an interesting alternative for the administration of lipophilic drugs
that cannot be administered under a native form [Couvreur and Vauthier, 2006].
In the last two decades , an impressive literature reporting basic and translational
research on NPs has led to multiple preclinical/clinical trials and the approval of several
formulations by regulatory authorities for diagnosis and therapeutics in oncology [O’Brien et
al., 2004 ; Stinchcombe, 2007 ; Anselmo and Mitragotri, 2021 ; Aldosari et al., 2021 ], gene
therapies [Coelho et al., 2013 ; Kristen et al., 2019 ] and more recently the mRNA vaccines
[Dolgin, 2021 ]. These breakthroughs result from optimized synthesis of macromolecules ,
improvement of their physicochemical features such as size, porosity, shape and surface
properties that play an important role in dr ug encapsulation and delivery [Raemdonck et al.,
2015 ; Topete et al., 2015 ; Stylianopoulos et al., 2015 ], and the formulation of NPs by
microfluidics [Almeida et al., 2024] . Despite these successes, the use of drug delivery
nanostructures in clinical protocols is far from being a generalized routine and developments
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of novel NPs are still required to overcome some biological barriers and limitations to address
specific cellular targets such as solid tumors with poor prognosis [Blanco et al., 2015].
The first major limitation in NP-based therapies is the mononuclear phagocyte system
(MPS), which refers to all immune cells with high phagocytic activity. F ollowing systemic
administration, NPs immediately unde rgo opsonization, the non -specific interactions with
plasma proteins, and recognition by antibodies and proteins of the complement system to form
the so-called “protein corona” coating all NPs injected in vivo or incubated with serum in vitro
[Frank and Fries, 1991 ; Owens and Peppas, 2006 ; Tenzer et al., 2013]. This process is the first
activation step of the innate immune system , which enhances the activity of the MPS to
eliminate pathogens from the body. Although all factors controlling in vivo fate of NPs are
probably not yet elucidated, NPs’ features have been optimized to reduce the opsonization and
scavenging by MPS through the modulation of their size/shap e [Blanco et al., 2015 ], surface
charge [Arvizo et al., 2011], chemical structure [Mahon et al., 2012]. For instance, the addition
of neutral polymers such as poly(ethylene glycol) (PEG) or dextran result s in a “stealth”
behavior towards opsonins, which reduces the activation of the complement [Coty et al., 2017],
the MPS uptake and extends NP’s systemic lifetime [Tenzer et al., 2013 ; Kouser et al., 2018].
In addition, the PEG corona often increases the hydrodynamic diameter of the NPs thereby
decreasing the renal clearance [Veronese and Pasut, 2005].
Another limiting biological barrier for site-specific targeting using NPs is the continuous
endothelium of the blood vessels, which requires the NP’s translocation across endothelial cells
to reach a given organ. The discovery of the Enhanced Permeability and Retention effect (EPR)
[Maeda et al., 2013 ; Maeda et al., 2016 ] defined as the extravasation of macromolecules and
NPs across the disorganized and/or fenestrated blood vessels within solid tumors, results in
accumulation of NPs within the tumoral mass . Tumors also exhibit varying degrees of
lymphatic drainage and macrophage infiltration which further increase accumulation of NPs in
the vicinity of tumoral cells [Dai et al., 2018 ; Penn et al., 2018]. The rationale for drug delivery
using NPs thus relies on this EPR-mediated passive targeting, [Blanco et al., 2015 ] and the
efficient uptake of NPs by cancer cells [Sahay et al., 2010 ; Means et al., 2022]. While the EPR
effect is well documented in murine models of cancer and widely accepted by the scientific
community, the EPR effect in humans remains controversial, even though it is one of the
conceptual pillars of the use NPs in oncology [Bertrand and Leroux, 2012 ; Youden et al., 2022].
In mouse models of xenografted tumors for which an EPR effect is attested, some studies have
concluded that very low doses of injected NPs reached the tumor sites [Wilhelm et al., 2016 ;
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Dai et al., 2018; Penn et al., 2018]. In contrast, other publications using similar cancer models
reported that the overall exposure of the tumor to NPs was ~75% of the total amount of NPs
injected in the blood [Price et al., 2020]. These contradictory conclusions highlighted the lack
of knowledge about the pharmacokinetics and distribution of NPs, and questioned the relevance
of the parameters for the evaluation of tumor targeting [McNeil, 2016].
In order to improve specific cell/tissue targeting, NPs have been functionalized with
various protein ligands of membrane receptors differentially expressed in cells including short
peptides [Dawidczyk et al., 2014 ; Gao et al., 2015 ; Shi et al., 2017 ; Zhu et al., 2018 ; Sun et
al., 2018]. While some articles reported an increase in cell targeting mediated by peptide -
decorated NPs, mainly in tumor models [Wicky et al., 2015 ; Zhu et al., 2018], others conclude
to the low efficiency of the peptide functionalization because of the reduced diffusion of NPs
into solid tumors and their internalization by macrophages within the tumors [Dai et al., 2018 ;
Penn et al., 2018] and by the MPS especially in the liver and spleen [Ishida et al., 2006 ; Blanco
at al., 2015].
After injection and opsonization, most NPs accumulate in the liver and spleen because
of the liver sinusoids are highly specialized capillaries harboring large fenestrations in the
endothelium and lacking basal lamina. This hepatic architecture greatly enhances the exchange
between the liver parenchyma and the blood stream coming from the digestive tract and the
hepatic artery [Jacobs et al., 2010] and favors the accumulation of NPs within the perisinusoidal
space (space of Disse). In this small gap between the fenestrated endothelium and the trabecular
hepatocytes, NPs are in close contact with hepatocytes, liver sinusoidal cells (LSECs), hepatic
stellate cells (HSCs) and the liver resident macrophages or Küpffer cells, a major first line of
the innate immunity. This active phagocytic activity in the normal liver [D'Addio et al., 2012 ;
Bertrand et al., 2017] is a major “cell barrier” impairing long -term circulation of NPs and the
use of nanotechnology -based therapy for targeting diseased organs. Phagocytosis by Küpffer
cells is strongly correlated to the chemistry and surface charge, the size and shape of the NPs
through the formation of the protein corona onto NPs and the fixation of antibodies and proteins
of the complement [Gustafson et al., 2015]. In addition, some NPs activate the inflammasome,
a major pathway of the innate immune system involved in the production of pro-inflammatory
cytokines [Baron et al., 2015]. Conversely, authors have forecast that the use of NPs in other
fields of clinical applications than oncolog y would be possibly translated to human liver
diseases because of the “passive” accumulation of nanovectors in livers that do not undergo
deep alterations of their architecture as observed in cancers [Reddy and Couvreur, 2011 ; Tacke,
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6
2017 ; Zhang et al., 2016]. In this context, different studies have taken advantage of the active
phagocytic activity of Küpffer cells to specifically deliver therapeutics to these cells infected
with microorganisms such as bacteria, leishmaniasis and salmonellosis [Alving et al., 1978 ;
Fattal et al., 19 91], leading to strategies of immunomodulation using nanomedicine
accumulating in the hepatic parenchyma [Pati et al., 2018 ; Luan and Ju, 2018]. It has also been
demonstrated that hepatic accumulation of ultra -small superparamagnetic iron oxide particle
(USPIO) is decreased in patients with Non-Alcoholic Steatohepatitis (NASH) and that USPIO-
mediated magnetic resonance imaging can be used for diagnosis of NASH in human patient s
[Smits et al., 2016] further reinforcing the idea that liver homing of NPs is of great interest in
human therapy beyond cancer treatment.
In the field of liver transplantation, the use of NPs has recently been evaluated mainly
on rodent livers with promising results opening up interesting perspective for improving grafts
[Yao and Martins, 2020]. Due to the increase in candidates for liver transplantation (LT),
transplant teams had to broaden the acceptance criteria for so-called “expanded criteria” grafts
[Nemes et al, 2016], which are more sensitive to ischemia-reperfusion injury generated during
harvesting and the static preservation phase [Noack et al., 1993]. On a larger scale, p erfusion
of isolated organs using perfusion machines before revascularization during transplantation has
demonstrated its effectiveness in reducing the creation of ischemia-reperfusion lesions resulting
in an improvement in the recovery of graft function, the incidence of complicati ons and an
improvement in its survival [Schlegel et al., 2013 ; van Rijn et al., 2021 ; Dutkowski et al.,
2015]. To date, only one pilot study evaluating the use of nanovectors on human livers refused
for transplantation has been carried out [Del Turco et al., 2022]. This study used non-degradable
cerium oxide NPs conjugated to albumin, administered using a homemade perfusion machine
model. The interest of these NPs is the presence of Ce3+/Ce4+ ions on their surface producing
anti-oxidant and anti-inflammatory effects, which persist over time due to the very high stability
of these structures. In this study, the authors demonstrate the internalization of these NPs in
liver cells, including hepatocytes. These NPs improved the redox status with a maintenance of
the glutathione pool and an increase in catalase activity but without a positive effect on the
production of pro -inflammatory cytokines. We postulate that the administration of
biocompatible NPs, specific ally targeting hepatocytes , cholangiocytes and hepatic
macrophages coupled with the use of perfusion machines could allow innovative targeted
therapies and regenerative medicine for damaged liver grafts and ultimately to increase the
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7
number of transplantation procedures, to improve the quality and the resumption of functions
of the grafts and consequently the performance of liver transplantation.
The Amphiphilic block copolymers are promising compounds for drug delivery since
they form NPs or micelles in aqueous solutions with a hydrophobic inner-core surrounded by a
hydrophilic corona. Our laboratory has developed poly(malic acid) (PMLA) derivatives for
liver targeting drug delivery systems [ Cammas et al., 2000 ; Huang et al., 2012 ; Loyer and
Cammas-Marion, 2014 ; Casajus et al., 2018]. Amphiphilic derivatives of PMLA constituted
by a PEG hydrophilic block and a poly(benzyl malate) (PMLABe) hydrophobic segment self-
assemble to form PEG42-b-PMLABe73 micelles that show very low cytotoxicity levels towards
hepatic cells and macrophages [Huang 2012 ; Casajus et al., 2018]. In previous reports, we also
grafted Circumsporozoite protein of Plasmodium berghei- (CPB) and George Baker Virus A -
10-9- (GBVA10-9) derived peptides, which showed a good hepatotropism towards hepatic cells
[Brossard et al., 2021 ; Vène et al., 2022 , Brossard et al., 2022].
In this report, our first objective was to better characterize the uptake of poly(benzyl
malate) and poly(ethylene glycol) -b-poly(benzyl malate) copolymer based NPs by human
hepatic cells and macrophages and to study for the first time the internalization of these NPs by
peripheral blood mono nuclear cells. We also determined the impact of the NP’s
functionalization by the GBVA10-9 peptide. The second objective was to set up a coculture
system combining hepatic HepaRG cells and human macrophages in order to determine
whether the peptide-functionalization of PMLABe and PEG -b-PMLABe-based NPs with
GBVA10-9 peptide could favor the uptake by hepatic cells over that of macrophages in this in
vitro model allowing cell competition for the internalization of GBVA10-9-decorated NPs.
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8
II- MATERIALS AND METHODS
2.1- Materials
Dynamic Light Scattering (DLS) : DLS measurements were performed on a Nano -sizer ZS90
(Malvern, Worcestershire, UK) at 25°C, with a He-Ne laser at 633 nm and a detection angle of
90°C. Three runs of 70 scans each were performed on each NPs suspension, and average values
of hydrodynamic diameter (Dh) and dispersity (PDI) were given. The size distribution reports
were given by Intensity.
Size Exclusion Chromatography (SEC): Weight average molar mass (Mw) and dispersity (Đ =
Mw/Mn) values were measured by SEC in THF at 40 °C (flow rate = 1.0 mL/min) on a GPC2502
Viscotek apparatus equipped with a refractive index detector Viscotek VE 3580 RI, a guard
column Viscotek TGuard, Org 10 x 4.6 mm, a LT5000L gel column 300 x 7.8 mm and a
GPC/SEC OmniSEC Software (Malvern, Worcestershire, UK). The polymer samples were
dissolved in THF (2 mg/mL). All elution curves were calibrated with polystyrene standards.
Differential Scanning Calorimetry (DSC): Glass transition temperature (Tg) of the (co)polymers
was measured by DSC. Measurements were acquired on a DSC Q2000 apparatus from TA
Instruments under nitrogen flow at heating rate 10°C/min from -80 to 180 °C.
Flow cytometry and microscopy: The cell uptake of fluorescent NPs labelled with the lipophilic
fluorescent dye 1,1′-dioctadecyl-3,3,3′,3′-tetramethylindodicarbocyanine perchlorate
(DiD_Oil; Thermofisher Scientitic, Wavelength: excitation 644 nm; emission 665 nm, ε =
236.000) was quantified by flow cytometry using 2 different analyzers from the cytometry core
facility of the Biology and Health Federative research structure Biosit ( University of Rennes,
France): FACSCalibur and LSRFortessa™ X-20 cytometers (Becton Dickinson, Becton Drive
Lake, NJ, USA) and data were analyzed using CellQuest and FACSDivaTM softwares, for these
two appartus, respectively (Becton Dikinson). Fluorescent cells were visualized using a Zeiss
AxioVert A.1 microscope coupled with a Colibri.2 illumination system (Carl Zeiss Microscopy
GmbH, Germany).
ELISA assays. For ELISA assays, the optical absorbance was measured on a microplate reader
Multiskan FC (ThermoScientific).
Western blotting. Electrophoresis and protein transfers were performed on XCell SureLock TM
and iBlot2® apparatus (Life Technologies). Acquisitions of gels stained with coomassie blue
and immunoblotting detection by chemioluminescence were performed using VisionCapt and
Chemi-Smart 5000 systems (Vilber Lourmat), respectively.
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2.2- Reagents
All chemicals were used as received. -maleimide,-carboxylic acid PEG62 (Mal-PEG62-COOH,
Mw = 3,000 g/mol, n = 62) and -methoxy,-carboxylic acid PEG42 (MeOPEG42-COOH, Mw
= 2,015 g/mol, n = 42) were purchased from Iris Biotech GmbH (Marktredwitz, Germany).
Tetraethylammonium benzoate, tetraethylammonium hydroxide and 6-maleimidohexanoic acid
(Mal-Hex-COOH) were purchased from Sigma-Aldrich (Saint-Louis, Mo, USA). Peptides were
provided by Eurogentec (Liege, Belgium). 1,1'-Dioctadecyl-3,3,3',3'-tetramethylindo
dicarbocyanine perchlorate (DiD Oil) was purchased from Invitrogen (Thermo Fisher
Scientific, Illkirch Graffenstaden, France). Solvents were purchased from Sigma-Aldrich (Saint
Quentin Fallavier, France).
Phosphate-buffered saline (PBS), William’s E medium, RPMI 1640, penicillin –streptomycin,
L-glutamine and trypsin were purchased from ThermoFisher Scientific ( Illkirch Graffenstaden,
France). Fetal calf serum (FCS) FetalClone III® and BioWhittaker® were from Hyclone (Logan,
UR, USA) and Lonza (Verviers, Belgium), respectively. Hydrocortisone hemisuccinate was
from Serb (Paris, France). MOPS-SDS buffer was purchased from Amresco (OH, USA). Tris-
buffered saline (TBS) was from GE Healthcare (Aulnay Sous Bois, France). Bovine serum
albumin was from Eurobio (Les Ulis, France). Ultrapure Escherichia coli O111:B4 LPS was
purchased from InvivoGen (Toulouse, France) and recombinant human granulocyte
macrophage colony-stimulating factor (rhGM-CSF) from R&D Systems Europe (Lille, France).
Insulin were obtained from Sigma -Aldrich (Saint Louis, MO, USA). Carboxylate -modified
fluorescent (yellow -green) FluoSpheres ® (50 and 100 nm) and 1,1′-dioctadecyl-3,3,3′,3′-
tetramethylindodicarbocyanine perchlorate (DiD-Oil) were purchased from Molecular Probes
(Eugene, OR, USA). Monosodium urate (MSU) crystals were prepared by recrystallization
from uric acid, as previously described [Gicquel et al., 2015]. Goat antiserum to human albumin
(1140V7) was from Kent Laboratories (Redmond, WA, USA), rabbit anti-complement C3 (sc-
31300) and anti-Apolipoprotein (B-10) were from Santa Cruz (distributed by CliniSciences,
Nanterre, France) and anti -human immunoglobulins was purchased from Amersham (RPN
1003). Horse radish peroxidase labeled secondary antibodies were from Dako (Denmark).
2.3- Formulation of PMLABe73 derivatives-based nanoparticles.
PMLABe73, Mal-PMLABe73, PEG 42-b-PMLABe73 and Mal -PEG62-b-PMLABe73 were first
synthesized by anionic ring opening polymerization (aROP) of benzyl malolactonate (MLABe)
using tetraethylammonium benzoate, tetraethylammonium maleimidohexanoate,
tetraethylammonium salt of -methoxy,-carboxylate-PEG42 and tetraethylammonium salt of -
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maleimide,-carboxylic acid PEG62as initiator, respectively, following the procedure previously
described [Brossard et al., 2021; Brossard et al. 2022] and summarized in Supplementary
Information 1A. All the synthesized ( co)polymers were characterized by 1H NMR (structure
and molar mass), SEC (Mw and Ð) and DSC (Tg) as already reported [Brossard et al., 2021;
Brossard et al. 2022].
Nanoparticles (NPs) encapsulating the fluorescence probe DiD Oil were then prepared using
the nanoprecipitation technique [Brossard et al., 2021; Brossard et al. 2022], adapted from the
Method
described previously [Thioune et al., 1997]. Generally, 5 mg of (co)polymers [100wt%
PMLABe73 (PMLABe73-NPs), 100wt% MeOPEG42-b-PMLABe73 (PEG42-b-PMLABe73-NPs),
75wt% PMLABe73 + 25wt% MeOPEG42-b-PMLABe73 (PMLABe73/PEG 75/25-NPs), 50wt%
PMLABe73 + 50wt% MeOPEG 42-b-PMLABe73 (PMLABe73/PEG 50/50 -NPs), 90wt%
PMLABe73 + 10wt% Mal -PMLABe73 (PMLABe73/Mal-PMLABe73 90/10-NPs), or 90wt%
PMLABe73 + 10wt% Mal -PEG62-b-PMLABe73 (PMLABe73/Mal-PEG62-b-PMLABe73 90/10-
NPs)] were solubilized in DMF followed by the addition of a given volume of the DiD Oil stock
solution at a concentration of 0.1 mg/mL (the amount of DiD Oil representing 0.1 wt% of the
(co)polymers’ mass, i.e. 0.05 mg). The final volume of DMF was always 150 µL. This solution
was rapidly added in ultra -pure water (1 or 2 mL) under vigorous stirring. After 10 min of
stirring at room temperature, the DiD Oil -loaded NPs suspension were passed through a
Sephadex G25 leading to the obtaining of 3.5 mL of DiD Oil-loaded NPs suspensions [Brossard
et al., 2021; Brossard et al. 2022]. The obtained NPs suspensions were characterized by DLS
(Table 1).
The GBVA10-9 C-terminated with a thiol group (GBVA10-9-SH) in solution in PBS was added
to the maleimide -decorated NPs suspensions ( PMLABe73/Mal-PMLABe73 90/10-NPs, and
PMLABe73/Mal-PEG62-b-PMLABe73 90/10-NPs) through the Michael addition using
conditions described previously [Brossard et al. 2022], thus leading to the GBVA10 -9-
decorated NPs which were characterized by DLS (Table 1).
2.4- Opsonization of PMLABe, PEG-b-PMLABe based NPs
The opsonization of NPs was studied using a protein adsorption assay followed by western blot
analysis. PMLABE and PEG62-b-PMLABe73–based NPs (functionalized or not) were incubated
in William’s E medium supplemented with 10% human serum during 24h at 37°C under 5%
CO2 humidified atmosphere. NPs were collected by centrifugation at 14,000 g for 30 min while
agarose beads were spun down at 5,000 g for 1 min, at 4°C. The pellets were washed once with
cold PBS (500µL) prior to denaturation of micelles and bound proteins with 50 µL of
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denaturating buffer (Tris -HCl 100 mM, pH 6.8, bromophenol blue 0.2%, sodium dodecyl
sulfate 8%, glycerol 20%, and β-mercaptoethanol 5%) and 50µL of MOPS/SDS buffer pH 7.7
(Thermofisher Scientific, USA). Samples were boiled in water bath for 10 min. Standard
PageRulerTM Plus prestained protein ladder (Thermofisher Scientific) and protein samples were
loaded and separated by electrophoresis on polyacrylamide gels (iD PAGE gel, 4 -12%,
Eurogentec, Belgium) and then transferred to nitrocellulose membranes (iBlot® 2NC Mini
Stacks, Thermofisher Scientific, USA). The membranes were blocked with 3% bovine serum
albumin (BSA) Fraction V (Eurobio) in 1X Tris -buffered saline, 0.1 % Tween 20 (TBST) at
room temperature (RT) for 1 h, then incubated overnight at 4 °C with the following primary
antibodies diluted in TBST containing 3% BSA: mouse anti -human complement C3 proteins
(B-9), mouse anti -human apolipoprotein A-I (B-10), goat anti-human albumin (1140V7) and
goat anti-human IgG (A-0293). Following washes three times with TBST, the membranes were
then incubated for 1 h at RT with appropriate horseradish peroxidase (HRP) secondary
antibodies: polyclonal rabbit anti-mouse and polyclonal goat anti-rabbit. After incubation, the
membranes were washed three times with TBST and developed using SuperSignalTM WestDura
chemiluminescent substrate kit for HRP detection according to the manufacturer's instructions.
The proteins were visualized with the Fusion FX system (Vilber-Lourmat, Germany).
2.5- Cell culture and cell uptake of NPs
HepaRG cells were cultured as previously described [Corlu and Loyer , 2015] . Briefly,
progenitors HepaRG were cultured in William’s E medium supplemented with 2 mM L -
glutamine, 50 IU/mL penicillin, 50 µg/mL streptomycin, 5 mg/L insulin, 10-5M hydrocortisone
hemisuccinate and 10% FBS. To obtain differentiated HepaRG cells, progenitors were cultured
during 14 days to obtain confluent quiescent cells and maintained for 2 additional weeks in
medium supplemented with 2% DMSO.
Human peripheral blood mononuclear ce lls (PBMC) were isolated from buffy coat of healthy
donors (Etablissement Français du Sang, Rennes, France) by centrifugation on UNI-SEP maxi
U10 (Novamed). Monocytes (CD14+) were isolated using anti -human CD14 antibodies
conjugated magnetic MicroBeads (Mi ltenyi Biotec SAS, Paris, France) and were plated at a
density of 0.5x10 5 cells per well in 48 -well plates. Human macrophages were obtained after
differentiation of monocytes with 50 ng/mL rhGM-CSF in RPMI 1640 medium supplemented
with 5 IU/mL penicillin and 5 mg/mL streptomycin, 2 mM L -glutamine and 10% FBS during
7 days, as previously described [Vène et al ., 2016 ; Vène et al., 2022]. After 7 days of
differentiation, the culture medium was removed and 1x105 cells HepaRG cells expressing the
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Green Fluorescent Protein (GFP) were added in human macrophage wells. RPMI 1640 medium
supplemented with 10% FBS, 50 IU/mL penicillin, 50 g/mL streptomycin, and 2 mM L -
glutamine was used for the coculture. GFP-expressing H epaRG cells were produced by
lentiviral transduction of proliferating cells plated at low cell density (10 5 cells per well in 24-
well plates) with pre -made lentiviral particles (ILV -EF1-GFP) obtained from Flash
Therapeutics (Toulouse, France). All cell types were incubated at 37°C with 5% humidified
CO2.
2.6- Cell uptake of PMLABe-based NPs and FluoSpheres®.
Control and peptide-functionalized fluorescent NPs were prepared as described in section 2. 3.
Culture medium was withdrawn and replaced by 500 µL (in 24 -well plates) of fresh culture
media containing NPs at a final concentration of 25 g/mL in copolymer co rresponding to
5.1010 NPs/mL.
After incubation at 37°C in a humidified atmosphere of 5% CO 2 for various time points , cell
monolayers were washed twice with PBS and photographs were acquired using fluorescence
microscope. The cells were detached with trypsin-EDTA and resuspended in complete medium
for flow cytometry analysis. Dot plots of forward scatter (FSC: x axis) and side scatter (SSC: y
axis) allowed to gate the viable single cells (Supporting information 2). Untreated cells were
used to determin e autofluorescence, arbitrary set at ~30 for all cell types. The fluorescence
emitted by NPs encapsulating DiD Oil w as detected using the APC -A channel. For GFP
expressing HepaRG cells, the GFP was detected on FITC channel to gate hepatic cells and to
discriminate human macrophages. The percentage of positive cells and the m ean of
fluorescence was expressed as fluorescence intensity of the single cell population (Supporting
information 2). The effects of peptides on cell uptake of peptide-decorated NPs was evaluated
with the p ercentage of positive cells and the mean of fluorescence for cells incubated with
peptide functionalized streptavidin compared to those of NPs without peptides. For the cell
uptake assay of FluoSpheres®, human macrophages and HepaRG cells were incubated with
FluoSpheres® according to the manufacturer instructions.
To evaluate the influence of the opsonization on cellular uptake, the assay described above was
modified by incubating DiDoil-loaded NPs or FluoSpheres® in culture media without fetal calf
serum. The fluorescence emitted by the cells was analyzed by flow cytometry.
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13
2.7- Detection of CD3+ lymphocytes and CD66+ neutrophils by plow cytometry.
Cell number was determined, and 10 6 cells were centrifuged at 300g for 10 minu tes.
Supernatant was discarded and cells were resuspended in 98 l of phosphate -buffered saline
(PBS) pH 7.2, 0.5% bovine serum albumin (BSA), and 2 mM EDTA. Two l of CD3 antibody,
anti-human, FITC, REAfinity (Miltenyi Biotech, reference 130-113-138) or CD66abce
antibody, anti-human, PE, REAfinity (Miltenyi Biotech, reference 130-124-512) were added.
REA Control antibody, human IgG1, FITC, REAfinity (Miltenyi Biotech, reference 130-113-
437) and REA Control antibody, human IgG1, Vio Bright B515, REAfinity (Miltenyi
Biotech, reference 130-113-445) were used as negative control for CD3 and CD66abce,
respectively. Cells and antibody mix w ere then incubated for 10 minutes in the dark at 4°C.
Cells were washed with 1-2 mL of buffer and centrifuged at 300xg for 10 minutes. Supernatant
was discarded and cells were fixed with formaldehyde 4% prior to flow cytometry analysis.
2.8- Quantification of cytokines by ELISA assay.
Macrophages and HepaRG cells were incubated during 24h with 0.1 µg/mL ultrapure
lipopolysaccharide (LPS) for inflammation priming. Then, the culture media were discarded
and cells were treated overnight with NPs, FluoSpheres® or MSU 250 µg/mL. Production of
cytokines was evaluated by quantification of interleukin -1 (IL-1β), IL-1α and IL-6 levels in
culture supernatants of primed cells and cells incubated with NPs but without LPS treatments
using Duoset ELISA kits, according to the manufacturer’s instructions.
2.9-Statistical analyses
Quantitative data were expressed as mean ± standard deviation (SD). Statistical analyses
were performed using GraphPad Prism version 5.0 (GraphPad Software, USA). Differences
between two groups were analyzed using two -tailed Mann-Whitney U test. A non-parametric
Kruskal-Wallis test with Dunns’ post-test was used to compare means of more than two groups.
Significant differences are presented as * p<0.05, ** p<0.01, *** p<0.001, otherwise: not
significant.
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14
III- RESULTS
3.1- In vitro cell uptake of PMLABe73 and PEG42-b-PMLABe73-based NPs by HepaRG cells
and macrophages.
The homopolymer PMLABe73 and block copolymer PEG42-b-PMLABe73 were
synthesized by anionic ring opening polymerization (aROP) of benzyl malolactonate (MLABe)
as described previously [Brossard et al., 2021; Brossard et al. 2022] and summarized in
Supporting Information 1A. In a first step, PMLABe73- and PEG42-b-PMLABe73-based NPs
(100% of either PMLABe73- or PEG42-b-PMLABe73-derived NPs) encapsulating the
fluorescence probe DiD Oil were prepared using the nanoprecipitation technique. T he
homopolymer PMLABe73 and amphiphilic block copolymers PEG 42-b-PMLABe73 self-
assembled in aqueous solutions to form well-defined macromolecular NPs with hydrodynamic
diameters of 120 and 106 nm, respectively (Table 1) while polydispersity indexes of ~ 0.15 to
0.2 evidenced homogenous micelle formulations , in agreement with NPs obtained in our
previous reports [Huang et al., 2012 ; Casajus et al., 2018 ; Brossard et al., 2021; Brossard et
al. 2022].
The incubation of the NPs with human macrophages and HepaRG cells was performed
overnight and cell uptake of PMLABe73- and PEG42-b-PMLABe73-based NPs was measured
by the detection of the DiD oil encapsulated into the NPs using flow cytometry and fluorescence
microscopy ( Figure 1). The percentage s of DiD oil positive cells , which had internalized
PMLABe73 and PEG42-b-PMLABe73 -based NPs, and the means of fluorescence of cell
populations were obtained from the flow cytometry data and represented in histograms and
chart, respectively (Figure 2). The cell uptake of PMLABe73- and PEG42-b-PMLABe73-based
NPs in primary human macrophages and HepaRG cells was compared to that of green
carboxylate-modified polystyrene microspheres (FluoSpheres®) of 20 and 100nm (Figures 1
and 2).
As demonstrated by the flow cytometry histograms and fluorescence microscopy, a very
efficient uptake of PMLABe73-, PEG42-b-PMLABe73-based NPs and FluoSpheres® by
macrophages and HepaRG cells was observed after an overnight incubation of NPs with the
tow cell types (Figure 1). Nearly all macrophages and HepaRG cells were positive following
incubation with PMLABe73-, PEG42-b-PMLABe73-based NPs and FluoSpheres®. The time
course study of the NP’s uptake showed significant differences between the uptake in
macrophages and HepaRG cells and between the PMLABe73-, PEG42-b-PMLABe73-based NPs
and FluoSpheres® (Figure 2). The uptake of PMLABe73-based NPs is much greater than that
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15
of PEG42-b-PMLABe73-based NPs for the two cell models, indicating that the presence of a
PEG corona on the surface of the se NPs strongly reduced their internalization. Our data also
evidenced quantitative variations in the uptake of PMLABe73-based NPs between the different
macrophage cultures prepared from four independent healthy donors visualized from important
differences in fluorescence intensities (Figure 2A), which demonstrated variable
interindividual NP’s internalization capacities among these donors . In contrast, the uptake of
FluoSpheres® by the same four donors showed quite similar fluorescence intensities allowing
to combine the values of the donors and resulting in narrow standard deviations (Figure 2B).
The time-course study showed that macrophages internalized very actively PMLABe73-
, PEG42-b-PMLABe73-based NPs and FluoSpheres® in the first hours of incubation since nearly
95% of cells were positive at 8h (Figure 2A). Then, at 24h, while nearly all macrophages had
internalized PMLABe73-, PEG42-b-PMLABe73-based NPs, the fluorescence intensities
reflecting the accumulation of NPs weakly increased (Figure 2A). Similarly, the uptake of
FluoSpheres® increased in a much lower extend compared to the fast internalization during the
first 8h of incubation (Figure 2B). In addition, the means of fluorescence were significantly
different in macrophages incubated with these microspheres of 100 and 20 nm
In hepatic HepaRG cells, the internalization of PMLABe73-, PEG42-b-PMLABe73-based
NPs and in a lesser extend for FluoSpheres® was more linear with the time of incubation
(Figure 2C). The uptake of PMLABe73-based NPs was much higher both on percentages of
positive cells and fluorescence intensities than the internalization of PEG42-b-PMLABe73-
derived NPs. At 8h, all HepaRG cells were positive for the DiD-Oil labelling but their mean of
fluorescence intensities was weaker than that foun d in macrophages. While 60 to 80% of
macrophages had internalized PEG42-b-PMLABe73-based NPs after 4h of incubation, only 40%
of HepaRG cells were positive for these pegylated NPs. After 24h of incubation, all HepaRG
cells had internalized PEG42-b-PMLABe73-based NPs but their mean fluorescence was much
weaker that for the cells incubated with PMLABe73-based NPs as observed for macrophages.
While the uptake of 20 and 100 nm FluoSpheres® was in the same range of fluorescence
intensities in macrophages, a three-fold higher fluorescence was observed in HepaRG cells
incubated with 100 nm FluoSpheres® as compared to the mean found for th ose of 20 (Figure
2D). Interestingly, the means of fluorescence were also higher in macrophages than in HepaRG
cells with both FluoSpheres®.
Together, these data demonstrated that the uptake of PMLABe73-, PEG42-b-PMLABe73-
based NPs was faster in macrophages than in HepaRG cells although the overall internalization
of PMLABe73-based NPs in hepatic cells at 24h was in the same range than in macrophages.
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Moreover, the uptake of 100nm FluoSpheres® in HepaRG cells was more efficient than for
smaller particles of 20nm, and strengthened the conclusion than diameters of NPs >100 nm
favored the internalization in HepaRG cells. Finally, high density of PEG on NPs (100% of
PEG42-b-PMLABe73-derived NPs) strongly reduced NP’s uptake in both cell types.
3.2- Influence of PEG density on NP’s uptake by macrophages and HepaRG cells.
We next decided to study the influence of various PEG densities on the surface of
PMLABe-based NPs on their uptake by HepaRG cells and human macrophages. For that
purpose, we mixed different proportions of the two polymers PMLABe73 and PEG42-b-
PMLABe73 to prepare two additional batches of NPs: a batch of NPs prepared from a mixture
of 75 wt% of PMLABe73 and 25 wt% of PEG42-b-PMLABe73 (PEG42-b-PMLABe73/PMLABe73
25/75%) and another batch of NPs prepared from a mixture of 50 wt% of PMLABe73 and 50
wt% of PEG42-b-PMLABe73(PEG42-b-PMLABe73/PMLABe73 50/50%). Both macrophages
(Figure 3A) and HepaRG cells (Figure 3B) were incubated for various times with the
PMLABe73(100%)-, PEG42-b-PMLABe73/PMLABe73(25/75%)-, PEG42-b-
PMLABe73/PMLABe73(50/50%)- and PEG42-b-PMLABe73(100%)-based NPs and cell uptake
was quantified by flow cytometry.
Our data show ed that macrophages incubated with PMLABe73(100%)-, PEG42-b-
PMLABe73/PMLABe73(25/75%)-, PEG42-b-PMLABe73/PMLABe73(50/50%)-based NPs,
presented similar percentages of positive cells and identical means of fluorescence (Figure 3A).
In contrast, incubation of macrophages with PEG42-b-PMLABe73(100%)-based NPs resulted in
significantly lower fluorescence levels than those observed with the other three types of NPs ,
as previously observed in our study (Figure 1). Conversely, the uptake of PMLABe73(100%)-,
PEG42-b-PMLABe73/PMLABe73(25/75%)-, PEG42-b-PMLABe73/PMLABe73(50/50%)- and
PEG42-b-PMLABe73(100%)-based NPs in HepaRG cells was inversely correlated to the
proportion of PEG (Figure 3B).
Together, these data demonstrated that only dense PEG corona on the surface of
PMLABe NPs significantly inhibits the NP’s uptake by macrophages while a density of PEG
as low as 25% has a strong impact on NP’s internalization in HepaRG cells.
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3.3- In vitro cell uptake of peptide-functionalized PMLABe73 and PEG 42-b-PMLABe73-based
NPs by peripheral blood monocytic cells and macrophages.
A major objective of this study was to investigate the influence of the functionalization
of PMLABe-derived NPs by the peptide GBAV10 -9, which was shown to exhibit a strong
hepatotropism on human hepatoma cells [Vène et al., 2022]. Our goal was to determine whether
the grafting of GBVA-10-9 onto PMLABe-derived NPs could affect the NP’s uptake in blood
cells, hepatic HepaRG cells and macrophages. Considering the results obtained in this study
regarding the effect of high PEG density on the uptake of pegylated PMLABe-derived NPs, we
have chosen to engraft 10% of GBVA-10-9 peptide on PMLABe-derived NPs (Table 1). The
engraftment was performed after NPs formulation using GBVA10-9 C-terminated with a thiol
group (GBVA10-9-SH) reacting with maleimide-functionalized NPs suspensions (Supporting
information 1B) [PMLABe73(90wt%)/Mal-PMLABe73(10wt%) or PMLABe 73(90wt%)/Mal-
PEG62-b-PMLABe73(10wt%)] to produce PMLABe73(90wt%)/GBVA10-9-
PMLABe73(10wt%) and PMLABe73(90wt%)/GBVA10-9-PEG62-b-PMLABe73(10wt%),
which showed slightly larger hydrodynamic diameters and higher polydispersity index than the
non-functionalized NPs (Table 1).
Whole peripheral mononuclear cells (PBMC), CD14 -, CD14 + and CD14 +-derived
macrophages obtained from three different donors were incubated with non-functionalized and
GBVA10-9-decorated NPs and their uptake was studied by flow cytometry (Figure 4A). First,
we observed that low percentages of PBMC and CD14- internalized the four PMLABe-derived
NPs, from 5 to 40% with large differences between donors. Interestingly, the uptake occurred
mostly during the first 4h of incubation and did not significantly vary up to 72h of incubation.
In addition, the fluorescence means remained very low demonstrating that these heterogenous
cell populations internalized limited amounts of PMLABe -derived NPs. However, we also
observed that GBVA10-9-PMLABe NPs were significantly more internalized in two out of the
three donors (Figure 4A).
Then, we quantified the uptake of the same NPs in CD14 + monocytes and CD14 +-
derived macrophages and found that the uptake of the four NPs was much higher in monocytes
compared to PBMC with important quantitative differences between donors in terms of
percentages of positive cells (from 40 to 100%) and means of fluorescence confirming large
interindividual uptake capacities among healthy donors. In monocytes, no differences were
observed between non -functionalized and GBVA10 -9-decorated NPs. This series of
experiments also further demonstrated that NP’s uptake was very efficient in macrophages
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since nearly all macrophages were positive at 2h of incubation and with 3 to 5-fold higher means
of fluorescence compared to monocytes.
In order to determine whether other populations than monocytes were able to internalize
PMLABe-derived NPs in the whole PBMC populations , we labeled the lymphocytes T with
anti-CD3 and neutrophils with anti -CD66 antibodies and acquired dot plots displaying
PMLABe-NP’s positive cells (DiD -Oil detected with APC channel) versus CD3 + or CD66 +
cells (antibodies detected with FITC channel) in flow cytometry (Supporting information2,
Figure 4B). Using this double staining, we found that ~15% and 5 to 10% of CD3+ and CD66+
positive cells had internalized NPs, respectively, without any significant differences between
the four PMLABe -derived NPs. As expected, CD3 + and CD66 + positive cell populations
exhibited lower DiD-Oil staining compared to monocytes and macrophages indicating a far less
efficient NP’s uptake.
3.4- Opsonisation of PMLABe-based NPs and influence on cell uptake.
It has been previously reported that the opsonization of polystyrene - FluoSpheres®
[Furumoto et al., 2004 ; Vène et al., 2016 ], silica- [Lesniak et al., 2012 ] and poly(β-
hydroxybutyrate)- and poly(trimethylene carbonate) -b-poly(malic acid) - [Vène et al., 2016 ]
derived NPs strongly affected the cell uptake. Given that the opsonization by human plasma
proteins considerably varied between NPs, we next investigated the influence of the
opsonization of non-functionalized- and GBVA10-9-PMLABe-based NPs on the ir uptake by
human macrophages and HepaRG hepatoma cells after 24h of incubation (Figure 5). To
address this issue, “native” or opsonized DiDoil-loaded PMLABe-based NPs or FluoSpheres®
were used and the cell uptake was performed by culturing the macrophages and HepaRG cells
in culture medium lacking fetal calf serum (FCS). The opsonized NPs were obtained by pre -
incubating the “native NPs” with human serum prior to the dilution in the culture medium for
the cell uptake.
The cell uptake by the macrophages was very effic ient for all the non-functionalized-
and GBVA10 -9-PMLABe-based NPs with at least 95% of positive cells (Figure 5A).
Interestingly, the mean of fluorescence in macrophages was not significantly affected by the
pre-incubation of the NPs or FluoSpheres® microspheres with human serum when compared to
the cell uptake of “native” NPs. In addition, the deprivation in FCS did not affect this cell uptake
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since the overall values of fluorescence in these experiments were very similar to those found
in presence of 10% FCS (Figure 5A).
As observed in macrophages, the uptake of non-functionalized- and GBVA10 -9-
PMLABe-based NPs and FluoSpheres® was also very efficient in HepaRG cells with more than
95% of positive cells (Figure 5B). However, the opsonization of non-functionalized- and
GBVA10-9-PMLABe-based NPs significantly reduced the mean of fluorescence with a 2-fold
decrease for PMLABe73-, PMLABe73/GBVA10-9-PMLABe73- and PMLABe 73/GBVA10-9-
PEG62-b-PMLABe73-NPs while internalization of PEG 62-b-PMLABe73-NPs remained always
low. Similarly, the means of fluorescence were strongly decreased for HepaRG cells incubated
with opsonized FluoSpheres® beads (Figure 5B).
The opsonization of the PMLABe73,(100%)-, PMLABe73(90%)/GBVA10-9-
PMLABe73(10%)- and PMLABe 73(90%)/GBVA10-9-PEG62-b-PMLABe73(10%)-based NPs
by human serum proteins was evaluated in a cell -free protein adsorption assay and compared
to that of NPs formulated with PEG62-b-PMLABe73(100%) only to determine if high density of
PEG reduced the binding of plasma proteins (Figure 5C-E). In a first experiment, the protein
adsorption onto PMLABe73,(100%)-based NPs was evaluated over a 2h time-course (Figure
5C). The proteins bound to the NPs were separated by electrophoresis and visualized by
coomassie blue staining of polyacrylamide gels. Multiple proteins were bound onto NPs as
early as 5 min after incubation with serum, and their abundance was not significantly modified
with the incubation time. These two intense bands at ~25 and 55 kDa most likely corresponded
to heavy and light chains of the immunoglobulins and the abundant plasma protein with an
apparent mobility weight at ~64 kDa could be the albumin. Interestingly, NPs prepared with
100% of PEG 62-b-PMLABe73 block copolymer showed very low binding to plasma proteins
(Figure 5D) confirming that PEG at high density strongly reduced opsonization.
A similar procedure was used to study the opsonization of PMLABe73/GBVA10-9-
PMLABe73- and PMLABe73/GBVA10-9-PEG62-b-PMLABe73-derived NPs (Figure 5E). The
NPs prepared with PMLABe73/GBVA10-9-PMLABe73 polymers generated an opsonization
nearly identical to that observed for PMLABe73-based NPs (Figure 5 D). In contrast, NPs
prepared with PMLABe73/GBVA10-9-PEG62-b-PMLABe73-derived NPs showed a weakest
opsonization with bands that were less intense compared to the adsorption found with the other
PMLABe-based NPs (Figure 5E).
The evaluation of the protein adsorption by coomassie blue staining of polyacrylamide
was completed by immunoblotting of plasma proteins adsorbed onto PMLABe73-,
PMLABe73/GBVA10-9-PEG62-b-PMLABe73- and PEG62-b-PMLABe73(100%)- derived NPs
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(Figure 5F). Specific antibodies were used to detect the human immunoglobulins, complement
C3, albumin and Apolipoprotein AI . As expected, elevated a mounts in immunoglobulins ,
complement C3, albumin and Apolipoprotein AI was found in samples of NPs formulated with
PMLABe73 homopolymer. In contrast, NPs prepared with PEG 62-b-PMLABe73(100%)
copolymer showed much weaker signals for immunoglobulins, complement C3 and
Apolipoprotein AI although albumin was found absorbed onto these NPs. Immunoblotting
experiments using PMLABe73/GBVA10-9-PEG62-b-PMLABe73-derived NPs evidenced that
bands obtained for immunoglobulins and complement C3 were less intense while albumin and
Apolipoprotein AI were still detectable.
Together, these data indicated that NPs derived from PMLABe homopolymer were
heavily opsonized, while the binding of plasma proteins was much weaker on PEG62-b-
PMLABe73-derived NPs. This supported the conclusion that the hydrophilicity and the steric
hindrance generated by the PEG block from the amphiphilic PEG62-b-PMLABe73 copolymer
reduced the opsonization of the obtained NPs. All these data also demonstrated that the uptake
of non-functionalized- and GBVA10 -9-PMLABe-based NPs is differently affected by the
opsonization in macrophages and HepaRG hepatoma cells. Indeed, while the opsonization of
these NPs had little effect on the uptake by macrophages, the adsorption of plasmatic proteins
on PMLABe-based NPs significantly affected the NP’s accumulation in HepaRG cells.
It has been demonstrated t hat some NPs activate d the inflammasome resulting in the
production of pro -inflammatory cytokine s [Baron et al., 2015] . In order to determine non-
functionalized- and GBVA10 -9-PMLABe-based NPs may activate the production of pro -
inflammatory cytokines, macrophages and HepaRG cells were incubated overnight with NPs
and pro-inflammatory cytokines were quantified by ELISA assay (Figure 6).
Macrophages and HepaRG cells were cultured in the absence or presence of LPS for
inflammasome priming, and monosodium urate (MSU) crystals were used as positive control
of sustained inflammasome activation [Gicquel et al., 2015]. The inflammation was evaluated
by measuring the concentration of the pro-inflammatory cytokines IL-6 (Figure 6A, B) and IL-
1 (Figure 6C) and the level of inflammasome activation was studied by determining the
secretion of IL -1 (Figure 6D) in culture media of macrophages. In control macrophage
cultures in absence of priming, IL -6 was the only detectable cytokine in culture media . The
priming with LPS slightly increased the secretion of the three cytokines but the incubation with
non-functionalized- and GBVA10-9-PMLABe-based NPs did not enhance the secretion of pro-
inflammatory cytokines demonstrating that these NPs did not activate the inflammasome in
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primary macrophages. In contrast, the treatment with MSU strongly triggered the
inflammasome activation visualized by the increase in cytokine secretion, a s previously
reported [Gicquel et al 2015 ]. The HepaRG cells produced much lower amounts of
inflammation mediators and the IL6 was the only cytokine detectable in the culture medium.
As observed for macrophages, priming with LPS slightly increased the secr etion of IL-6 and
the incubation with NPs did not significantly enhanced the secretion of IL -6 confirming that
PMLABe-based NPs did not activate the inflammasome in this hepatocyte-like model.
3.5- Uptake of PMLABe-based NPs in a coculture model of hepatic cells and macrophages.
Our experiments have demonstrated higher internalizations of PMLABe -based NPs in
human macrophages in primary culture compared to those measured in hepatic cells using
separated in vitro models. In order to further compare the uptake of non-functionalized- and
GBVA10-9-PMLABe-based by hepatic HepaRG cells and macrophages, we set up a coculture
in vitro model associating both HepaRG cells and human macrophages in the same culture
wells, which evaluates the cell competition for the internalization of PMLABe-based NPs. To
discriminate the two cell types by flow cytometry, we used HepaRG cells that stably express
GFP proteins ( Supporting information 3 , Figure 7A). Cocultures were incubated with
PMLABe73-, PMLABe73/GBVA10-9-PMLABe73-, PMLABe 73/PEG62-b-PMLABe73 and
PMLABe73/GBVA10-9-PEG62-b-PMLABe73-based NPs for 4, 8 and 24h and the red
fluorescence emitted by DID-Oil loaded NPs was measured in GFP + HepaRG cells and GFP-
negative macrophages (Figure 7A-B).
The flow cytometry data showed that dot plots (FITC versus APC) allowed to
discriminate GFP expressing HepaRG cells and GFP negative macrophages ( Supporting
information 3 , Figure 7B). We confirmed that uptake of all PMLABe -derived NPs by
macrophages was very efficient, these cells being far brighter than HepaRG cells at the different
time points ( Figure 7A, B ). Our results also confirmed in this coculture model that the
PMLABe73/PEG62-b-PMLABe73-based NPs were less internalized in both macrophages and
HepaRG cells compared to the internalization of the three other NPs. Functionalization of this
NP with peptide GBVA10-9 strongly increased the uptake in both cell types. Interestingly, we
observed that a fraction o f HepaRG cells showed an intense DiD -Oil labelling quantitatively
similar to the staining in macrophages while most of HepaRG cells exhibited a ~much weaker
DiD-Oil fluorescent signal. When considering the means of fluorescence in the whole hepatic
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and macrophages populations, we found that the ratio of fluorescence signals emitted by DID-
Oil loaded NPs in macrophages and HepaRG cells showed slight differences between the time
points and that the grafting of peptide GBVA10-9 did not significantly improve the uptake of
functionalized NPs in macrophages and HepaRG cells.
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IV- DISCUSION
In our previous publications on the synthesis of PMLABe73 homopolymer and PEG42-
b-PMLABe73 amphiphilic derivatives [Huang et al., 2012], the optimization in the routes of
synthesis [Casajus et al., 2018] and first attempts in peptide functionalization of NPs prepared
from these (co)polymers [Brossard et al., 2021 ; Vène et al., 2022 , Brossard et al., 2022], we
had not characterized in details the uptake of PMLABe73- and PEG42-b-PMLABe73-based NPs
by human hepatic cells , peripheral blood mononuclear cells and macrophages in vitro . In
addition, we had not studied the influence of the PEG density at the surface of these NPs on the
cell uptake. Yet , these in vitro data are important for our goal s to develop biocompatible
polymeric NPs ca pable of targeting the liver in vivo via systemic administration or hepatic
artery injection in the treatment of hepatocellular carcinomas and for ex vivo perfusion of poor-
quality liver grafts to improve their functions and consequently the performance of liver prior
to transplantation [Del Turco et al., 2022].
The uptake of NPs prepared from PEG42-b-PMLABe73 only (100%) was significantly
lower than that of non-PEGylated PMLABe73 NPs (PMLABe73 100%) in both hepatic cells and
macrophages at all exposure times. This effect is justified by the presence of a PEG crown on
the surface of the pegylated NPs, in agreement with a large set of data obtained demonstrating
the effect of the PEG crown on NP’s uptake in vitro [Zhang et al., 2002 ; Xie et al., 2007] and
in vivo [Daou et al., 2009 ; Lipka et al., 2010 ; Albanese et al., 2010] in many different cell
types. The PEG has exceptional physicochemical and biological properties [Gref et al., 2000 ;
Davis, 2002 ; Harris 2003 ; Veronese and Pasut, 2005]. This macromolecule, soluble in water
and different organic solvents , has been approved by regulatory authorities for clinical
applications in humans. PEG is generally used to provide a hydrated steric barrier on the surface
of NPs [Herold et al., 1989]. It is widely described in the literature that PEG provides to NPs
stealth properties [Gref et al., 2000 ; Veronese and Pasut, 2005] by reducing opsonization by
serum proteins and, therefore, the phagocytosis by monocytes, macrophages and non-
parenchymal cells of the liver, thereby helping NPs to escape the reticuloendothelial system
after intravenous administration [Gref et al., 2000 ; Veronese and Pasut, 2005].
To further study the effect of PEG on the uptake of PMLABe -derived NPs in HepaRG
cells and macrophages, we prepared two additional batches of NPs with various PEG densities:
PEG42-b-PMLABe73/PMLABe73(25/75%)- and PEG42-b-PMLABe73/PMLABe73(50/50%)-
based NPs. The incubation of these different NPs with HepaRG cells demonstrated that the
uptake of NPs was inversely correlated to the density of PEG present on their surface. These
(which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
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24
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FIGURE LEGENDS
Table 1 : Characteristics of the PMLABe-derived nanoparticles. Nanoparticle (NP)
composition indicating the (co)polymer(s) used to formulate NPs: PMLABe 73, PEG 42-b-
PMLABe73 and their maleimide -modified derivates used in various proportions to prepare
corresponding NPs. Dh: Hydrodynamic diameter measured by DLS. PDI: Polydispersity index
of the NP size measured by DLS.
Figure 1: Uptake of PMLABe73-, PEG42-b-PMLABe73-based NPs and FluoSpheres® in primary
macrophages and HepaRG cells by flow cytometry and fluorescence microcopy . The flow
cytometry analysis was performed using 10 4 gated viable cells (gate R1 on the side scatter
versus forward scatter dot plots, left column). The intrinsic FL4-H fluorescence of macrophages
and HepaRG cells was set up using cells that were not incubated with NPs (w/o NPs, dotted
line histograms) to define the M1 gate corresponding to negative cells. The fluorescence of
macrophages and HepaRG cells incubated with DiD oil loaded NPs prepared from PMLABe73-
homopolymer and PEG42-b-PMLABe73 copolymer and fluorescein-labelled FluoSpheres®, was
measured using the FL4-H and FL1-H channels, respectively, to quantify the positive cells in
the M2 gate. Only overlay histograms of cells w/o NPs and cells incubated with PMLABe-
based NPs and FluoSpheres® beads of 20 nm (MS20) and 100 nm (MS100) are presented. Flow
cytometry was performed using a FACSCalibur analyzer (Becton Dickinson) . Fluorescence
DiD oil loaded NPs (red) and FluoSpheres® microspheres (green) in macrophages and HepaRG
cells were also detected by fluorescence microscopy: live cells in phase contrast microscopy
are presented in the third column and th e corresponding fluorescence photographs resulting
from the accumulation of NPs into the cells are presented in the fourth column (magnification
bar: 100m).
Figure 2: Quantification of the u ptake of PMLABe73-, PEG42-b-PMLABe73-based NPs and
FluoSpheres® in primary macrophages and HepaRG cells by flow cytometry . The histograms
represent the percentage of positive macrophages (A, B) and HepaRG cells (C, D) detected in
the M2 gate (see Figure 1) after incubation for various times with PMLABe73-, PEG 42-b-
PMLABe73-based NPs (A, C) and FluoSpheres® (MS100 or 20nm NPs). The curves represent
the mean of fluorescence expressed in fold change of the background fluorescence measured in
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41
non-incubated cells . As control, cells were not incubated with NPs and the ir background
fluorescence was the mean of the all cell populations. Macrophages prepared from four healthy
donners were used to measure the uptake in 3 to 6 independent culture wells. Three independent
cultures of HepaRG were performed to measure the uptake in 6 to 9 independent culture wells.
* p < 0.05, ** p < 0.01.
Figure 3: Quantification of the uptake of PMLABe73- and PEG42-b-PMLABe73-based NPs with
various PEG densities on NP’s surface in primary macrophages and HepaRG cells by flow
cytometry. Macrophages from 4 different donors (A) and HepaRG cells (B) were incubated
with NPs prepared from PMLABe73 homopolymer and PEG42-b-PMLABe73 copolymer and
NPs formulated with various amounts of these first two (co)polymers: PEG42-b-
PMLABe73/PMLABe73 (25/75%) and a mixture of 50 wt% of PEG42-b-PMLABe73 and
PMLABe73 (50/50%). Both macrophages (A) and HepaRG cells (B) were incubated for various
times with these NPs and cell uptake was quantified by flow cytometry (FACSCalibur analyzer,
Becton Dickinson). The curves represent the mean of fluorescence expressed in fold change of
the background fluorescence measured in non -incubated cells. The histograms represent the
percentage of positive macrophages (A) and HepaRG cells (B). Three independent cultures of
HepaRG were performed to measure the uptake in 6 to 9 independent culture wells. * p < 0.05,
**/##/$$ p < 0.01 between data obtained with cells incubated with NPs formulated with
PMLABe73., PEG42-b-PMLABe73/PMLABe73 (25/75%) and (50/50%) versus cells incubated
with PEG42-b-PMLABe73(100%)-based NPs.
Figure 4: Quantification of the uptake of PMLABe73-, PEG42-b-PMLABe73-based NPs and their
GBVA10-9 functionalized derived NPs by flow cytometry in whole PBMC populations, CD14-,
CD14+ cells and primary macrophages . These experiments were performed using a
LSRFortessa™ X -20 cytometer (Becton Dickinson) and data were analyzed using
FACSDivaTM software (Becton Dikinson). A) The curves and histograms represent the mean
of fluorescence and the percentage of positive cells, respectively, for each cell types (PBMC ,
CD14-, CD14+ cells and macrophages) measured at 4, 8, 24 and 72h expressed in arbitrary units
(A.U.) after setting up the background fluorescence at 60 (A.U.) for all cell type s in each
experiment. B). Percentages of DiD -Oil positive CD3 + and CD66 + cells representing the
neutrophils and T lymphocytes, which had internalized DiD -Oil loaded NPs. Right: Dot plots
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42
represent typical experiments from which the chart of DiD-Oil positive CD3+ and CD66+ cells
(left) were extrapolated . The data were obtained from t hree independent cultures of PBMC,
CD14-, CD14+ cells and macrophages prepared from 3 different healthy blood donors.
Figure 5: Opsonization of NPs derived from PMLABe73-, PEG42-b-PMLABe73- and GBVA10-
functionalized-PMLABe-derived NPs by plasma proteins from human serum : Impact of
opsonization on cell uptake in macrophages and HepaRG cells . Impact of serum and
opsonization of the uptake of PMLABe73-, GBVA10-9-PMLABe73-, PEG42-b-PMLABe73- and
GBVA10-9-PEG42-b-PMLABe73-based NPs in human macrophages (A) and HepaRG cells (B).
The histograms represent the mean of fluorescence and the percentage of positive cells for
measured at 24h and expressed in arbitrary units (A.U.). C) PMLABe73-based NPs were used
to define the time-course of the opsonization assay. Incubation of NPs were performed at 5, 15,
30 min, 1 and 2h. Adsorbed proteins were loaded on SDS-PAGE and the gels were stained with
Coomassie blue. Molecular weight markers (M) indicate the apparent mobility range after
electrophoresis. Serum (input 1:1000 dilution, 5 L loaded), control NPs were not incubated
with serum (-serum). D) and E) Qualitative analysis for serum proteins adsorbed on PMLABe73-
, PEG 42-b-PMLABe73- and GBVA10- PEG42-b-PMLABe73-based NPs following incubation
for 15min and 1h of incubation with human serum. F) Immunodetection by western blotting of
immunoglobulin (heavy chains: HC ; light chains : LC), complement C3 , albumin, and
apolipoprotein-AI adsorbed on PMLABe73-, PEG 42-b-PMLABe73- and GBVA10 - PEG42-b-
PMLABe73-based NPs.
Figure 6 : Cytokine productions in human macrophages and HepaRG cells incubated with
PMLABe73- and PEG42-b-PMLABe73- based NPs. Interleukin-6 (IL-6), interleukin-1alpha (IL-
1) and interleukin -1bëta (IL -1) were quantified by ELISA assay in culture media of
macrophages (A, C, D) and HepaRG cells (B) following incubation with PMLABe73- and
PEG42-b-PMLABe73-based NPs without or with functionalization by peptide GBVA10 -9.
Histograms of cytokine concentrations in culture media of macrophages and HepaRG cells in
absence (white bars) or presence (dark bars) of the inflammasome priming factor LPS. Two
different donors of monocyte-derived macrophages with n = 6 to 8 independent culture wells,
3 independent HepaRG cell culture with n = 6 to 9 independent culture wells. * p < 0.05, ** p
< 0.01.
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43
Figure 7: Coculture between human primary macrophages and HepaRG cells. Human
macrophages (M) and GFP-expressing HepaRG cells (H) were cultured together in same well
during 2 days prior to the incubation with PMLABe73-, GBVA10 -9-PMLABe73-, PEG 42-b-
PMLABe73- and GBVA10-9-PEG42-b-PMLABe73-based NPs. Cellular uptake of fluorescent
NPs loaded with DiD-Oil fluorophore was evaluated by fluorescence microscopy (A) and flow
cytometry (B,C, D). A) Human macrophage (M) were visualized by phase contrast and GFP
expressing H epaRG cells ( H) are detected by fluorescence microscopy . Bar: 50 m. B)
Representative flow cytometry dot plots. The rectangular quadrants separate GFP-expressing
HepaRG cells (Q1+Q2, FITC high) and macrophages (Q3+Q4, FITC low). The uptake of DiD-
Oil loaded NPs was quantified by measuring fluorescence intensity on APC chann el. C) Data
are presented as mean of fluorescence intensity (A.U.) on APC channel. D) Ratio between the
fluorescence intensities measured in macrophages and the fluorescence means in HepaRG cells.
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NPs composition Dh (nm) PDI
PMLABe73[DiD Oil] 120 0.17
PEG42-b-PMLABe73[DiD Oil] 106 0.19
PEG42-b-PMLABe73/PMLABe73[DiD Oil] 25/75 119 0.20
PEG42-b-PMLABe73/PMLABe73[DiD Oil] 50/50 115 0.16
PMLABe73/ GBVA10-9-PMLABe73[DiD Oil] 90/10 139 0.42
PMLABe73/ GBVA10-9-PEG62-b-PMLABe73[DiD Oil] 90/10 142 0.38
Table 1
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HepaRG cells
PMLABe
w/o NPs
w/o NPs
MS100
w/o NPs MS100
Macrophages
w/o NPs
MS20
PMLABe
w/o NPs
w/o NPs PEG-b-PMLA45
w/o NPs
PEG-b-PMLA45
w/o NPs MS20
A
B
Figure 1
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Figure 2
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*
**
##
$$
*
* *
*
Figure 3
A
B
**
**
**
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CD14- CellsPBMC
0
10000
20000
30000
40000
50000
0 8 16 24 32 40 48 56 64 72
Intensity fluorescence (U.I)
Time in hour
PBMC
PMLABe
PMLABe-GBVA10-9
PEG-(b)-PMLABe
PEG-(b)-PMLABe-GBVA10-9
0
10000
20000
30000
40000
50000
0 8 16 24 32 40 48 56 64 72
Intensity fluorescence (U.I)
Time in hour
CD14-
0
10000
20000
30000
40000
50000
0 8 16 24 32 40 48 56 64 72
Intensity fluorescnece (U.I)
Time in hour
CD14+
0
50000
100000
150000
200000
250000
0 8 16 24 32 40 48 56 64 72
Intensity fluorescence (U.I)
Time in hour
Macrophages
0
20
40
60
80
100
0 4 8 24 72
Pourcentage positivity
Time in hour
PBMC
0
20
40
60
80
100
0 4 8 24 72
Pourcentage positivity
Time in hour
CD14-
0
20
40
60
80
100
0 4 8 24 72
Pourcentage positivity
Time in hour
CD14+
0
20
40
60
80
100
0 4 8 24 72
Pourcentage positivity
Time in hour
Macrophages
0
10000
20000
30000
40000
50000
0 8 16 24 32 40 48 56 64 72
Intensity flouroscence (U.I)
Time in hour
PBMC
PMLABe
PMLABe-GBVA10-9
PEG-(b)-PMLABe
PEG-(b)-PMLABe-GBVA10-9
0
10000
20000
30000
40000
50000
0 8 16 24 32 40 48 56 64 72
Intensity fluorescence (U.I)
Time in hour
CD14-
0
50000
100000
150000
200000
250000
0 8 16 24 32 40 48 56 64 72
Intensity fluorescence (U.I)
Time in hour
CD14+
0
50000
100000
150000
200000
250000
0 8 16 24 32 40 48 56 64 72
Intensity Fluorescence (U.I)
Tme in hour
Macrophages
0
20
40
60
80
100
0 4 8 24 72
Pourcentage positivity
Time in hour
PBMC
0
20
40
60
80
100
0 4 8 24 72
Pourcentage positivity
Time in hour
CD14-
0
20
40
60
80
100
0 4 8 24 72
Pourcentage positivity
Time in hour
CD14+
0
20
40
60
80
100
0 4 8 24 72
Pourcentage positivity
Time in hour
Macrophages
0
10000
20000
30000
40000
50000
0 8 16 24 32 40 48 56 64 72
Intensity fluorescence (U.I)
Time in hour
PBMC
PMLABe
PMLABe-GBVA10-9
PEG-(b)-PMLABe
PEG-(b)-PMLABe-GBVA10-9
0
10000
20000
30000
40000
50000
0 8 16 24 32 40 48 56 64 72
Intensity fluorescence (U.I)
Time in hour
CD14-
0
10000
20000
30000
40000
50000
0 8 16 24 32 40 48 56 64 72
Intensity fluorescence (U.I)
Time in hour
CD14+
0
20
40
60
80
100
0 4 8 24 72
Pourcentage positivity
Time in hour
PBMC
0
20
40
60
80
100
0 4 8 24 72
Pourcentage positivity
Time in hour
CD14-
0
20
40
60
80
100
0 4 8 24 72
Pourcentage positivity
Time in hour
CD14+
PBMC (24h)
CD14- (4h)
CD14- (24h)
0
5
10
15
20
25
Pourcentage
Control
CD3+
PBMC (24h)
CD14- (4h)
CD14- (24h)
0
5
10
15
20
25
Pourcentage
Control
CD66+
CD14- Cells
PBMC
CD3 Antibody
CD3 Antibody
NP NP
NPNP
CD66 Antibody
CD66 Antibody
Figure 4
Positive cells (%) Positive cells (%)
0
50000
100000
150000
200000
250000
0 8 16 24 32 40 48 56 64 72
Intensity fluorescence (U.I)
Time in hour
Macrophages
0
20
40
60
80
100
0 2 4 8 24 72
Pourcentage positivity
Time in hour
Macrophages
A
B
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Macrophages HepaRG cells
Positive cells (%)
0
20
40
60
80
100
W/O serum
With serum
0
500
1000
1500
2000
2500
0
500
1000
1500
2000
2500
Fluorescence x100 (A.U)
20
40
60
80
100
W/O serum
With serum
0
20
40
60
80
100
0
20
40
60
80
100
Positive cells (%)
0
1000
2000
3000
4000
5000
6000
0
1000
2000
3000
Fluorescence x10 (A.U) §§
* * *
* *
A B
191
Serum
MW markers (kDa)5 15 30 1h 2h
PMLABe + FCS
PMLABe - FCS
97
64
51
39
28
19
14
185
80
65
50
30
25
15
10
115
15 1h 15 1h
PMLABe + serum
PEG-b-PMLABe (100%) + serum
MW markers (kDa)
PEG-b-PMLABe - serum
15 1h 15 1h
GBVA10-9-PMLABe + serum
GBVA10-9-PEG-b-PMLABe + serum
MW markers
GBVA10-9-PEG-b-PMLABe - serum
MW markers (kDa)
PMLABe - serum
PMLABe
PEG-b-PMLABe (100%)
GBVA10-9-PEG-b-PMLABe
Albumin
Ig :
Hc
LC
C3 precursor
C3a fragment
Apo-AI
C D F
Figure 5
E
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IL-1a
IL-6
Picograms / mL
*
0
20
40
60
80
100
120
140
160
180
0
500
1000
1500
2000
2500
3000
3500
4000
4500
LPSLPS + PMLABeLPS + Peg-PMLAMicroS 100MSU
Picograms / mL
Picograms / mL
IL-6
**
IL-1b
*
A
C
B
Figure 6
0
2000
4000
6000
8000
10000
12000
- LPS
+ LPS
Picograms / mL
**** * *
**
0
40
80
120
160
200
240
280
- LPS
+ LPS
**
D
Macrophages
Macrophages Macrophages
HepaRG cells
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M M M
H
HH
H HH
MM M
A
B
PMLABe
4h 8h 24h
PEG-b-PMLABe
GBVA-PEG-b-PMLABe
GBVA-PMLABe
APC chanel = DiD-Oil Detection
FITC chanel = GFP Detection
Figure 7
0
10
20
30
4 8 24
Fluorescence ratio
Time (hours)
Macrophages/HepaRG
0
5000
10000
15000
0 4 8 12 16 20 24
Fluorescence (A.U.)
Time (hours)
HepaRG PMLABe
GBVA10-9-PMLABe
PEG-b-PMLABe
GBVA10-9-PEG-b-PMLABe
C
GFP+ HepaRG cells : Q1+Q2
D
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