Alice Spadea1,2, Mark Jackman3, Lili Cui3, Sara Pereira3, M Jayne Lawrence1,2, Richard A Campbell2, Marianne Ashford4. 1. NorthWest Centre for Advanced Drug Delivery (NoWCADD), School of Health Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, U.K. 2. Division of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9PT, U.K. 3. Advanced Drug Delivery, Pharmaceutical Sciences, AstraZeneca R&D, Cambridge CB2 0AA, U.K. 4. Advanced Drug Delivery, Pharmaceutical Sciences, AstraZeneca R&D, Macclesfield SK10 2NA, U.K.
Abstract
Lipid nanoparticles (LNPs) are important delivery systems for RNA-based therapeutics, yet the mechanism of their interaction with endosomal membranes remains unclear. Here, the interactions of nucleic acid-loaded LNPs that contain an ionizable lipid with models of the early and late endosomal membranes are studied, for the first time, using different reflectometry techniques. Novel insight is provided with respect to the subphase pH, the stage of the endosome, and the nature of the nucleic acid cargo. It is found that the insertion of lipids from the LNPs into the model membrane is greatest at pH 6.5 and 5.5, whereas at higher pH, lipid insertion is suppressed with evidence instead for the binding of intact LNPs, demonstrating the importance of the pH in the fusion of LNPs undergoing the endosomal pathway. Furthermore, and independently of the pH, the effect of the early- versus late-stage endosomal models is minimal, suggesting that the increased fluidity and anionic nature of the late endosome has little effect on the extent of LNP interaction. Last, there is greater nucleic acid delivery from LNPs containing mRNA than Poly(A), indicating that the extent of interaction can be tuned according to the nature of the nucleic acid cargo. Such new information on the relative impact of factors influencing nucleic acid delivery by LNP interactions with endosomal membranes is important in the design and tuning of vehicles with improved nucleic acid delivery capacities.
Lipid nanoparticles (LNPs) are important delivery systems for RNA-based therapeutics, yet the mechanism of their interaction with endosomal membranes remains unclear. Here, the interactions of nucleic acid-loaded LNPs that contain an ionizable lipid with models of the early and late endosomal membranes are studied, for the first time, using different reflectometry techniques. Novel insight is provided with respect to the subphase pH, the stage of the endosome, and the nature of the nucleic acid cargo. It is found that the insertion of lipids from the LNPs into the model membrane is greatest at pH 6.5 and 5.5, whereas at higher pH, lipid insertion is suppressed with evidence instead for the binding of intact LNPs, demonstrating the importance of the pH in the fusion of LNPs undergoing the endosomal pathway. Furthermore, and independently of the pH, the effect of the early- versus late-stage endosomal models is minimal, suggesting that the increased fluidity and anionic nature of the late endosome has little effect on the extent of LNP interaction. Last, there is greater nucleic acid delivery from LNPs containing mRNA than Poly(A), indicating that the extent of interaction can be tuned according to the nature of the nucleic acid cargo. Such new information on the relative impact of factors influencing nucleic acid delivery by LNP interactions with endosomal membranes is important in the design and tuning of vehicles with improved nucleic acid delivery capacities.
RNA
delivery and gene therapy hold great potential for the treatment
of many diseases, for example, expression of a required protein (mRNA
delivery) or gene knockdown (siRNA delivery). Lipid nanoparticles
(LNPs) are considered to be the most successful carriers developed
for RNA delivery, particularly of siRNA,[1] with Patisiran being the first siRNA-based medicine using LNPs to
target the delivery of siRNA to the liver.[2] The use of LNPs has now been extended to contain larger mRNA to
prepare vaccines against infectious diseases such as COVID-19. Indeed,
the first two COVID-19 vaccines to report the results of their clinical
trials are mRNA-formulated LNPs.[3]The realization of RNA therapeutics in the clinic has been largely
hindered over the years because of problems with the stability of
nucleic acids in biological fluids, the lack of cell “targetability”,
immunogenicity, and, as a result of its large size and hydrophilic
and anionic nature, its very poor membrane permeability.[4] As a consequence, many research efforts in recent
years have focused on the development of nanoparticulate carrier systems
that are efficiently taken up by the cell, escaping the endosomes
to deliver their RNA payload intact to the cytosol.[5−7] To achieve this,
the carrier system must successfully protect its RNA cargo during
transportation to the target cells and, upon its passage through the
endosome, must release the intact RNA into the cytoplasm. However,
the efficient escape of the carrier and/or RNA from the intracellular
endosomal/lysosomal compartments remains a major challenge.Endosomes are internal cellular vesicles that originate from the
invagination of the plasma membrane, constituting an important part
of the intracellular degradation pathway.[8] The vesicles that originate from the internalization of material
by a cell, which are spherical in shape and possess diameters of about
400–500 nm, undergo a maturation process from early endosome
to multivesicular bodies, containing intraluminal vesicles, to late
endosome.[9,10] There is evidence that endosomes at different
stages of the degradation pathway exhibit differences in the protein
and lipid compositions of their membrane[11] and internal pH. For example, the internal membrane of the late
endosome contains the anionic polyunsaturated lipid bis(monoleoylglycero)phosphate
[BMP]. [BMP is sometimes called lysobisphosphatidic acid; this term
is incorrect because the bis prefix suggests the linking together
of two such phosphatidic acids with one or two fatty acid residues
in positions 2 and 3 of the glycerol moiety; however, the compound
is two monoacylglycerols bound to a phosphate group.[23]] BMP is a lipid that is unique to to the late endosome,[12] and the early endosomes exhibit a pH of 6.8–5.9[13] and the late endosomes a lower pH of 5.5–5.0.[14] The endosomal escape is a crucial stage in the
effective delivery of intact RNA to avoid being digested in the lysosomes,
the structure into which the late endosome matures.[15] However, the process by which endosomal escape occurs is
poorly understood, with <2% of siRNA administered in LNPs being
estimated to escape the endosomes to reach the cytosol.[16,17]Recently, it has been reported that ionizable aminolipids,
such
as heptatriaconta-6,9,28,31-tetraen-19-yl 4-(dimethylamino)butanoate
(DLin-MC3-DMA or MC3), when present in LNPs in combination with other
lipids including the phospholipid distearoylphosphatidylcholine (DSPC),
cholesterol, and the PEGylated lipid DMG-PEG-2000, make LNPs more
effective at delivering functional mRNA to cytosol of the cells compared
to DLin-MC3-DMA-deprived LNPs.[7] Research
has shown that the use of ionizable cationic lipids with an apparent
pKa of 6.44 in the preparation of LNPs[18] allows the particles to be formulated at low
pH and to maintain a neutral or low cationic surface charge density
at pH 7.4, enabling better circulation properties.[19]It is proposed that the core of the LNP contains
all of the RNA
(either siRNA or mRNA), thereby protecting it, most or all of the
ionizable cationic lipid, and some of the cholesterol, and is surrounded
by a layer of the more polar DSPC, the PEGylated lipid, and the remaining
cholesterol.[20−22] Shedding of the PEGylated lipid from the exterior
of the particle is considered to be a requirement for internalization
of the LNP into the cell.[20] Once within
the low-pH environment of the endosome, the ionized cationic lipids
of the LNPs are thought to interact with the anionic lipids present
in the endosomal membrane, resulting in the formation of hexagonal
structures that can disrupt the membrane, allowing endosomal escape.[24]Complementary to investigations of LNP
efficacy in vitro and in vivo,[25,26] biophysical studies
using a range of model cell membranes (including phospholipid vesicles
and planar bilayers and monolayers) as experimental platforms can
provide insight into the mechanistic nature of LNP interactions.[27] Although lipid monolayers prepared at the air/water
interface on a Langmuir trough lack the two lipid leaflets inherent
to cell membranes, they are widely considered to be informative models
for interaction studies involving drugs or drug carriers[28,29] because they can be used to mimic membrane fluidity by controlling
the surface pressure of the monolayer.[30]In the present study, Langmuir monolayers are used as a platform
to study the interactions of LNPs with models of early- and late-stage
endosomal membranes. The LNPs, without cargo or containing either
Firefly luciferase (FLuc) mRNA or the adenosine monophosphate homopolymer
poly(adenylic acid) [Poly(A)], are prepared using a standard microfluidic
mixing procedure and comprise DLin-MC3-DMA, DSPC, cholesterol, and
DMG-PEG-2000 in the respective molar ratio 50:10:38.5:1.5.[31] Models of the early endosomal membrane (EEM)
and late endosomal membrane (LEM) each comprise a mixture of four
lipids to mimic compositions found in vivo.[23,32] As validation of the experimental approach, it is worth noting that
Langmuir monolayers are planar and endosomal membranes are curved.
The curvature of the endosome varies according to its size and is
generally much less than the curvature of the LNPs (size <100 nm).[33] As a result, the LNPs experience a low effective
curvature of the endosome, and, hence, we consider planar model membranes
to be a valid experimental platform. In addition to monitoring the
changes in surface pressure that occur in the presence of LNPs, two in situ optical reflectometry techniques are applied here
to provide further information about the interaction mechanism. Ellipsometry
is used to measure the change in the polarization of light upon reflection
at the interface on the second time scale,[34] which can be related to the extent of interactions,[35] as well as the presence of lateral inhomogeneities.[36] Brewster angle microscopy (BAM) also exploits
the reflection of polarized light at the interface but is used to
image the lateral morphology on a micrometer scale,[37] which can be related to the presence of lipid domains of
different phases in the monolayer[38] or
extended structures in contact with it.[39] The combination of surface pressure and ellipsometry data can be
beneficial to distinguishing different types of processes, such as
the insertion of lipid, binding of LNPs, and delivery of ionizable
lipid–nucleic acid complexes. In fact, the surface pressure
is most sensitive to the packing of lipid molecules in the monolayer
and ellipsometry to the total amount of interfacial material per unit
area and its ordering, while BAM can provide its own insight or support
for the data interpretations.[28,40]The aims of this
work are (1) to validate the application of complementary
reflectometry techniques in the study of LNP interactions with model
endosomal membranes for the first time, (2) to gain new insight into
physicochemical processes occurring in the studied system including
lipid insertion, LNP binding, and ionizable lipid–nucleic acid
complex delivery with respect to the pH and the stage of the endosome
model, and (3) to establish a robust physical basis for future work
comparing the performance characteristics of a range of newly developed
LNP systems with a view to improving the RNA delivery to the cytosol.
The work has important implications for the future rational design
of LNPs for application as enhanced delivery vehicles of nucleic acids.
Materials and Methods
Materials
The
lipids 1-hexadecanoyl-2-(9Z-octadecenoyl)-sn-glycero-3-phosphocholine (POPC;
>99% purity), 1,2-distearoyl-sn-glycero-3-phosphocholine
(DSPC; >99% purity), 1,2-dioleyl-sn-glycero-3-phosphoethamolamine
(DOPE; 100% purity), sn-(3-oleoyl-2-hydroxy)glycerol-1-phospho-sn-1′-(3′-oleoyl-2′-hydroxy)glycerol
(ammonium salt), also known as bis(monoleoylglycero)phosphate (BMP18:1; >99% purity), and sphingomyelin from porcine brain
(SM)
were all purchased from Avanti Polar Lipids (Alabaster, AL). 1,2-Dimyristoyl-rac-glycero-3-methoxypolyethylene glycol-2000 (DMG-PEG-2000)
was from NOF America Corp. (New York, NY). Cholesterol (≥99%
purity), 2-(N-morpholino)ethanesulfonic acid (MES),
poly(adenylic acid) [Poly(A); 100–500 kDa], glycerol, phosphate-buffered
saline (PBS), and 2-amino-2-(hydroxymethyl)propane-1,3-diol (TRIS)
were purchased from Sigma-Aldrich (Poole, U.K.), as were spectroscopic-grade
(AnalaR) chloroform and ethanol. Heptatriaconta-6,9,28,31-tetraen-19-yl
4-(dimethylamino)butanoate (DLin-MC3-DMA or MC3) was obtained from
Sapala Organics Private Limited (Hyderabad, India), while Firefly
luciferase mRNA (FLuc mRNA; 1929 nucleotides, molecular weight = 618.5
kDa calculated assuming an average molecular weight per nucleotide
of 320.5 + 159.0) was from CleanCap (TriLink Biotechnologies, San
Diego, CA). Ultrapure water was obtained using a Millipore Milli-Q
system (Merck Millipore, Darmstadt, Germany) to a resistivity of 18
MΩ cm.
Preparation of Model Endosomal Monolayers
The compositions
of model endosomal monolayers were chosen to mimic endosomal compositions
found in vivo using, in each case, four lipid components.
The EEM comprised 40 mol % POPC, 20 mol % DOPE, 6 mol % SM, and 34
mol % cholesterol, while the LEM comprised 61 mol % POPC, 16 mol %
DOPE, 6 mol % BMP18:1, and 17 mol % cholesterol.[23,32] For each type of monolayer, the various lipid components were weighed
separately and individually dissolved in chloroform at a concentration
of 1 mg mL–1. The lipid solutions were then mixed
to prepare a spreading solution containing a total of 10 mg of the
required lipid mixture. The resulting lipid mixtures were subsequently
divided into 1 mg aliquots, dried by evaporating the chloroform under
vacuum, and then stored at −20 °C until needed. Immediately
prior to every monolayer experiment, a fresh solution of either EEM
or LEM lipids was prepared by redissolving the aliquoted lipid in
chloroform to a final lipid concentration of 0.1 mg mL–1.
Preparation of LNPs
The LNPs were prepared at room
temperature using a Nanoassemblr microfluidic device (Precision NanoSystems,
Vancouver, Canada). Stock solutions were first prepared by dissolving
the required amounts of DLin-MC3-DMA, DSPC, cholesterol, and DMG-PEG-2000
in ethanol. These stocks were then mixed in a 50:10:38.5:1.5 molar
ratio to give a total lipid concentration of 12.5 mM (1.8 mg mL–1). FLuc mRNA or Poly(A) was diluted in a 50 mM citrate
buffer (pH 3.0) to obtain an mRNA/DNA–lipid weight ratio of
1:20 (cationic ionizable lipid–nucleotide with a 5.7:1 molar
ratio). Empty (nucleic acid-free) LNPs were prepared in the same way
but using (nucleic acid-free) 50 mM citrate buffer as the aqueous
phase. The ethanolic and aqueous solutions were mixed in the Nanoassemblr
microfluidic device at a 3:1 volume ratio and a total flow rate of
12 mL min–1. The resulting LNPs were dialyzed in
PBS overnight at 4 °C, using Slide-A-Lyzer G2 dialysis cassettes
(10 kDa molecular weight cutoff; Thermo Scientific, Loughborough,
U.K.). Glycerol was added as a cryoprotectant, with the final formulation
containing 10% (v/v) glycerol. Samples were aliquoted, frozen, and
defrosted prior to the surface pressure and ellipsometry measurements
being performed.
Characterization of the LNPs
The
apparent hydrodynamic
diameter of the LNPs was determined by dynamic light scattering (DLS)
using a Malvern Zetasizer Nano ZS (Malvern Instruments Ltd., Malvern,
U.K.). Prior to measurement by DLS, the LNPs were diluted 70-fold
using PBS. The resultant apparent hydrodynamic intensity size and
polydispersity index (PDI) at 298 ± 0.1 K were recorded at a
backscattering angle of 173 °C. The encapsulation efficiency
(expressed as %EE) of nucleic acid in the LNPs was quantified by a
Quant-iT Ribogreen RNA assay kit (Invitrogen, Paisley, Scotland) following
the manufacturer’s instructions. The results of this characterization
are shown in Table S1 and discussed under
the section entitled Characterization of the LNPs.
Surface Pressure Measurments
Monolayer experiments
were performed at 293 ± 2 K using a G2 Langmuir trough (Kibron,
Helsinki, Finland) with a custom-made low-volume stainless steel insert
of dimensions 260 × 32 × 1 mm containing a 45 × 32
× 2 mm depression for a tinted glass deflector used to prevent
diffuse laser reflections from the trough reaching the detector for
the reflectometry measurements. The trough was first cleaned with
copious amounts of water, then ethanol, and finally chloroform. It
was then filled with 15 mL of an aqueous buffer solution prepared
using ultrapure water. The buffers used for different pH values were
the following: 5 mM MES buffer for pH 5.5 and 6.5, PBS buffer for
pH 7.0 and 7.4, and 10 mM TRIS buffer for pH 8.5. In order to achieve
a starting average area per molecule of 120 Å2, different
amounts (namely, 54 and 64 μL) of 0.1 mg mL–1 (total lipid) EEM and LEM mixtures, respectively, were spread using
a Hamilton syringe on the surface and left for 15 min to ensure the
evaporation of chloroform. With knowledge of the total amount of lipid,
and therefore the number of lipid molecules of each type added to
the surface, and of the surface area over which the lipid film was
spread, it is possible to calculate an average area per molecule (A) according to the molar ratio of the various lipid components
present. The surface pressure (π) is defined as the difference
in the surface tension of a sample compared with that of pure water.
The values were measured using a metal alloy Wilhelmy plate and recorded
using Filmware 4.0 software. Furthermore, the reciprocal
of the compression modulus (Cs–1) is used to evaluate the average phase of the lipid monolayers according
to[41]It is considered
that Cs–1 values in
the range 12.5–50
mN m–1 indicate a monolayer in the liquid expanded
phase and values in the range 100–250 mN m–1 indicate a monolayer in the liquid condensed phase.[42]The area over which the lipid was spread was compressed
using the
barriers at a speed of 120 cm2 min–1 to
a surface pressure of 25 mN m–1, where it was held
for 2 min before being expanded to 15 m N1– at a
speed of 10 cm2 min–1 and held at constant
area for 15 min. This procedure was carried out to ensure that the
trough edges and barriers were wetted with lipid, and, hence, the
lipid monolayer was stable prior to injections of an aqueous solution
of LNPs into the subphase. Once the film was determined to be stable,
LNPs were gently injected underneath the lipid monolayer using a syringe
with a bent 10 cm needle, and the resulting interaction was constantly
monitored for at least 2 h by measuring the variation in the surface
pressure. The volume of liquid injected into the subphase in each
experiment was 1 mL (an overall volume change of about 6%), namely,
a 1 in 16 dilution of the LNPs. All of the experiments were repeated,
as indicated in the Supporting Information.
Ellipsometry
Data were recorded at 293 ± 2 K using
an Nanofilm EP4 instrument (Accurion, Goettingen, Germany) with a
blue diode laser at a wavelength of 489 nm and an angle of incidence
of 50°. Upon reflection of polarized light at the air/water interface,
the attenuation (Ψ) and phase shift (Δ) were determined
by the optical properties of the system. As opposed to measurements
at the solid/water interface where both parameters can be modeled
to reveal the interfacial excess and thickness,[39] only the latter parameter is strongly sensitive to the
presence of interfacial material at the air/water interface, the change
of which can be related generally to the amount of interfacial material
in the thin-film limit of a layer thickness of less than a few tens
of nanometers.[35]The phase shift
prior to the injection of LNPs, i.e., for a bare air/water interface
or a spread lipid monolayer, Δ0, recorded for 10–15
min, was subtracted from the measured values following injection to
give the phase shift of the resulting interaction, Δint = Δ – Δ0. This process first compensated
for the presence of capillary wave roughness[43] as well as small systematic errors in the daily calibration of the
experiment attributed to instrumental drift and positioning of the
deflector and to the starting surface packing of a lipid in the case
of interactions with the model monolayers.Modeling of Δint to a total amount of interfacial
material is highly complex for both multicomponent[44] and lipid systems:[45] in the
former case, the technique alone cannot distinguish different components,
while in the latter case, anisotropy exhibited from lipids present
in a condensed phase (or any such lateral domains) strongly influences
the data. Further complexities are that lateral heterogeneity in the
interfacial material on the micrometer scale, i.e., from different
lateral regions of the interface passing in and out of the probed
area by the laser (∼1 mm2) with time, are exhibited
as temporal fluctuations[36] and that regions
of the interface that exceed the thin-film limit can have a negative
contribution to Δint as a result of its periodicity.[46] As a result of these complexities, in the present
work, we retain the phase-shift representation of the data, which
we interpret in three contexts. First, the magnitude of Δint is taken as an approximate measure of the change in the
amount of interfacial material per unit area as a result of the interaction.
Second, temporal fluctuations above a clear baseline are taken as
an indication of thicker regions of the interfacial material or domains
of more condensed lipid chains as a result of lipid insertion from
LNPs or induced phase separation. Third, temporal fluctuations that
are both positive and negative from the baseline are taken as an indication
of extended structures in contact with the monolayer as a result of
the binding of LNPs. All of the experiments were repeated, as indicated
in the Supporting Information.
BAM
BAM images were recorded at 293 ± 2 K using
the same Nanofilm EP4 instrument (Accurion, Goettingen, Germany) with
a blue diode laser at a wavelength of 489 nm but in this case at an
angle of incidence matching the Brewster angle of the air/water interface
of 53.1°. The instrument was used in a mode with p-polarized
light, a 10× magnification objective, a polarizer, an analyzer,
and a CCD camera. The technique is commonly used to image the lateral
dimensions of both anisotropic liquid-condensed domains of phospholipids[47] and extended structures,[36] in films at the air/water interface, because the higher
reflectivity of both types of features results in lighter features
in the resulting images against a darker background. Images were taken
at different surface pressures during compression of the EEM and LEM
monolayers and at different time points following the injection of
LNPs into the subphase while keeping the Langmuir trough barriers
stationary. Background was subtracted from the images using an automatic
feature of the instrument software with image focusing enabled. The
same Γ correction was applied to all of the images to highlight
the morphological features of the interfacial material without changing
their relative brightness (Irfanview, Germany). It should be noted
that BAM has a spatial resolution of several micrometers and, as a
consequence, is unable to detect the binding of individual LNPs to
the monolayer. All of the experiments were repeated, as indicated
in the Supporting Information.
Statistical
Analysis
Statistical analysis of the surface
pressure and ellipsometry data was performed using GraphPad
Prism, version 9. Details of the two-way ANOVA and Šídák’s
or Turkey’s multiple comparisons tests are indicated in the Supporting Information. For the surface pressure
measurements, the value of the surface pressure at the plateau was
averaged across the various repeats and subsequently compared between
different experiments (namely, empty vs Poly(A)-loaded LNPs and EEM
vs LEM at different subphase pH values). For the ellipsometry measurements,
the mean value of Δint at the plateau for each sample
was averaged across repeats and compared across experiments (namely,
empty vs Poly(A)-loaded LNPs and EEM vs LEM at different subphase
pH values).
Results
Predicted Biophysical Processes
Before discussing the
results, we describe some of the biophysical processes that should
be considered for the systems under study and explain how their effects
are manifested in the surface pressure and ellipsometry data. With
respect to the Langmuir monolayer experiments, an increase in the
surface pressure (π) is related to a lowering of the interfacial
free energy and, in crude terms, is determined by an increase in the
density of the lipid chains in the monolayer.[48] On the other hand, the phase shift (Δint) obtained
from ellipsometry is related to the total amount of interfacial material
per unit area, while the nature of the fluctuations in Δint can reveal additional information, as noted below. Consideration
of the possible ways in which LNPs or LNPs’ components (Scheme ) could interact
with the model endosomal membranes led to identification of the three
possible processes shown in Scheme , namely, lipid insertion, LNP binding, and ionizable
lipid–nucleic acid complex delivery.
Scheme 1
Representation of
the Structure and Component Distribution of a LNP
Scheme 2
Representation of Three Biophysical Processes, Lipid Insertion
(Panel
A), LNP Binding (Panel B), and Ionizable Lipid–Nucleic Acid
Delivery (Panel C) That Can Occur as a Result of LNP–Monolayer
Interactions, Including Sketches of the Molecular Changes during and
as a Result of the Interaction, and Stated Effects on the Surface
Pressure and Ellipsometry Data
Note that the lipids
in the
model endosomal monolayers have been simplified to a single color
(green) and those in the LNPs also to a single color (orange). Panel
C can only be applied to nucleic acid-loaded LNPs. LNPs are not drawn
to scale.
Representation of Three Biophysical Processes, Lipid Insertion
(Panel
A), LNP Binding (Panel B), and Ionizable Lipid–Nucleic Acid
Delivery (Panel C) That Can Occur as a Result of LNP–Monolayer
Interactions, Including Sketches of the Molecular Changes during and
as a Result of the Interaction, and Stated Effects on the Surface
Pressure and Ellipsometry Data
Note that the lipids
in the
model endosomal monolayers have been simplified to a single color
(green) and those in the LNPs also to a single color (orange). Panel
C can only be applied to nucleic acid-loaded LNPs. LNPs are not drawn
to scale.
Scheme A
Lipid insertion occurs when
some of the lipid molecules
from the LNPs transfer to the monolayer during interactions of the
LNPs with the monolayer, which results in an increase in both the
lipid chain density in the monolayer and π. The insertion of
an additional lipid into the monolayer also results in an increase
in Δint because of the higher total amount of interfacial
material per unit area. It should be noted that lipid exchange may
also occur, in which the lipid from the monolayer is sequestered by
LNPs during the LNP–monolayer interactions; however, the techniques
applied in this work are not sensitive to this process.
Scheme B
LNP binding to the lipid monolayer results in an insignificant
change in π if the density of the lipid chains in the monolayer
is unchanged, although if the binding event is on a time scale that
exceeds the measurement time of Δint of a few seconds,
ellipsometry will sense a total interfacial thickness that exceeds
the thin-film limit of a few nanometers. The sensitivity of the ellipsometry
measurement can be either positive or negative on this length scale
because of the periodic wavelength of light, resulting in a bimodal
distribution of Δint.
Scheme C
Ionizable lipid–nucleic
acid complex delivery from LNPs to the monolayer also results
in an increase in both π,
because the associated lipid molecules rearrange so that the lipid
chains are situated in the surface monolayer, and Δint, because the total amount of interfacial material per unit area
increases. However, such a delivery only occurs in experiments involving
nucleic acid-containing LNPs and not in those involving nuclei acid-free
LNPs or nucleic acid alone.
Characterization of the
Early- and Late-Stage Endosomal Monolayers
To aid in the
interpretation of data from the interaction of LNPs
with the EEM and LEM, it was necessary first to characterize the endosomal
monolayers in the absence of LNPs at a pH of either 5.5 (the pH of
the late endosome) or 7.4 (the pH of the cytosol). The variation in
the surface pressure (π) with the average area per molecule
(A) of the two endosomal monolayers was determined up to 30 mN m–1 (Figure A), as was the reciprocal of the compression modulus (Figure B). Although the
shapes of the isotherms obtained for the two monolayer types are comparable
at the same pH, the measured π at the same A is larger for the LEM. Regardless of the pH and endosomal type,
at π up to 15 mN m–1 and with Cs–1 of less than 50 mN m–1, the shape of the isotherm indicates that the molecules are in a
liquid expanded state, which is widely considered to be analogous
to the liquid-crystalline state in a lipid bilayer.[49] As π increases further and Cs–1 approaches 100 mN m–1, there is a transition of the molecules toward the liquid condensed
phase, which is analogous to the gel state in a lipid bilayer.[49] The differences observed between the two monolayers
are attributed to the presence, in the LEM, of 6 mol % anionic BMP18:1. BMP18:1, a strongly anionic lipid, is only
found in the late endosome and lysosome[50] and will, because of its highly charged nature at both pH values
studied coupled with the fact that each of its two alkyl chains contain
an unsaturated site, occupy a large area per molecule in the LEM monolayer.
Figure 1
(A) Surface
pressure (π)–area (A)
isotherms for the EEM (orange and red lines) and LEM (light- and dark-blue
lines) monolayers on 5 mM MES buffer, pH 5.5 (orange and light-blue
lines), and PBS buffer, pH 7.4 (red and dark-blue lines). Note that A is the average area for a lipid molecule according to
the molar ratio of the lipid components present. (B) Plot of the reciprocal
of the compression modulus against surface pressure (EEM of pH 5.5,
orange squares; EEM of pH 7.4, red squares; LEM of pH 5.5, light-blue
dots; LEM of pH 7.4, dark-blue triangles). (C) BAM images of the EEM
and LEM monolayers at varying different surface pressures. The scale
bar is 100 μm. The inset images are 3× magnified.
(A) Surface
pressure (π)–area (A)
isotherms for the EEM (orange and red lines) and LEM (light- and dark-blue
lines) monolayers on 5 mM MES buffer, pH 5.5 (orange and light-blue
lines), and PBS buffer, pH 7.4 (red and dark-blue lines). Note that A is the average area for a lipid molecule according to
the molar ratio of the lipid components present. (B) Plot of the reciprocal
of the compression modulus against surface pressure (EEM of pH 5.5,
orange squares; EEM of pH 7.4, red squares; LEM of pH 5.5, light-blue
dots; LEM of pH 7.4, dark-blue triangles). (C) BAM images of the EEM
and LEM monolayers at varying different surface pressures. The scale
bar is 100 μm. The inset images are 3× magnified.For each monolayer type over the measured range
of π, the
isotherms obtained at pH 5.5 are more compact in that A is generally lower and Cs–1 higher at the same π. This effect is likely to be due to the
presence of DOPE, because POPC and SM are zwitterionic at both pH
values studied, while cholesterol is nonionic in nature and therefore
unaffected by the pH. Like BMP18:1, DOPE contains two unsaturated
alkyl chains and a headgroup whose charge depends upon the pH in that
it contains both a phosphate moiety (pKa = 1.7) and an amino group (pKa ∼
9.6). Consequently, the amino group becomes increasingly basic as
the pH decreases,[51] while the strongly
acidic phosphate group is ionized and therefore negatively charged
at all pH values examined here. Consequently, as the pH decreases,
the headgroup becomes zwitterionic in nature, occupying a smaller
headgroup area.BAM images of the EEM and LEM monolayers were
acquired at both
pH values at π values of 5, 15, and 25 mN m–1 (Figure C). These
BAM images serve as a reference for the observed exposure to LNPs.
Regardless of the monolayer type or pH, bright spots of a few micrometers
in size became increasingly abundant with increasing π. The
presence of these domains in the EEM are consistent with domains recorded
for lipid mixtures of similar composition.[52] The EEM contains cholesterol (34 mol %), which is known to have
a condensing effect in plasma membranes (and regulate lipid segregation),
as does SM (6 mol %). Indeed, domains formed in a four-component monolayer
of composition similar to that of the EEM were considered to be a
result of the mixing of SM (a high chain-melting lipid) with cholesterol
and the demixing of POPC (a low chain-melting lipid) with cholesterol.[53] On the plasma membrane of animal cells, SM is
known to form microdomains with cholesterol and other glycosphingolipids,
yielding so-called lipid rafts.[54] The domains
of the LEM, on the other hand, look different in that at surface pressures
above 5 mN m–1 very small and bright spots appear
and subsequently remain at all of the higher pressures tested. These
domains are smaller, yet more condensed, compared to those in the
EEM. Together, these observations are consistent with the values of Cs–1 and lack of a pronounced
phase transition in the monolayers under study.
LNPs Interacting
with the Air/Water Interface as a Function
of the pH in the Absence of a Model Endosomal Monolayer
The
interaction of LNPs [with Poly(A)] with a bare air/water interface
at pH values of 5.5, 7.4, and 8.5 was examined for up to 5 h after
injection into the subphase (Figure ) by monitoring π (Figure A) and Δint (Figure B) and taking BAM images (Figure C). LNPs were also
prepared with no nucleic acid cargo to help understand the role of
the nucleic acid cargo in the interaction with model endosomal monolayers.
It is worth noting that, while the surface pressure reached at the
plateau is extremely consistent between replicates, there was more
variability in the lag phase, i.e., time to liftoff as well as the
rate of increase in surface pressure, and as a consequence, therefore
only trends are reported here.
Figure 2
Changes in the (A) surface pressure and
(B) Δint and (C) BAM images of nucleic acid-free
LNPs (left panels) and Poly(A)-loaded
LNPs (right panels) at a final RNA concentration equivalent to 1 μg
mL–1 monitored over time at pH 5.5 (5 mM MES; light-green
lines), 7.4 (PBS; purple lines) and 8.5 (PBS; light-blue lines). Injection
was performed at time 0. The insets in part B are the frequency distribution
of each Δint value recorded between 60 and 150 min.
The BAM images were acquired at the stated time after injection of
the LNPs. The scale bar is 100 μm. The insets are 3× magnified.
Changes in the (A) surface pressure and
(B) Δint and (C) BAM images of nucleic acid-free
LNPs (left panels) and Poly(A)-loaded
LNPs (right panels) at a final RNA concentration equivalent to 1 μg
mL–1 monitored over time at pH 5.5 (5 mM MES; light-green
lines), 7.4 (PBS; purple lines) and 8.5 (PBS; light-blue lines). Injection
was performed at time 0. The insets in part B are the frequency distribution
of each Δint value recorded between 60 and 150 min.
The BAM images were acquired at the stated time after injection of
the LNPs. The scale bar is 100 μm. The insets are 3× magnified.Most noticeably, at the lowest pH of 5.5, the addition
of both
nucleic acid-containing and nucleic acid-free LNPs resulted in large
increases in Δint and π, although the maximum
changes in the value were only reached 4 h after LNP injection. In
contrast, at the higher pH values of 7.4 and 8.5, the changes in Δint and π recorded were smaller but quicker, with maximum
values being reached within 40 min of LNP injection (Statistical Analysis and Figures S7 and S8). At pH 7.4, the
fluctuations in Δint after interaction, at the air/water
interface, with nucleic acid-free LNPs were greater than those after
interaction with Poly(A)-loaded LNPs, while both interfaces exhibit
comparable fluctuations at pH 8.5. These fluctuations start about
80 min after LNP injection, with Δint values varying
about a mean, as demonstrated by the bimodal distribution of the values
(inset in Figure B).
Such a bimodal distribution of the ellipsometry values indicates that,
over time, the interfacial material adopts a morphology with regions
that have considerably different thicknesses within the plane of the
interface. This is the case of laterally segregated domains, which
move in and out of the laser beam with time, possibly as a result
of Marangoni flow from spreading events.[55] The distinct values of the bimodal distribution suggest that, over
the first hour of the interaction, the lateral size of the domains
increases to the millimeter length scale, matching the size of the
interfacial area probed by the laser.Together these observations
suggest that, after LNP injection,
the lipids comprising LNP transfer to the air/water interface cause
increases in π and Δint. This transfer is clearly
influenced by the pH, occurring more slowly, but to a greater extent,
at pH 5.5. At this pH, Poly(A)-loaded LNPs resulted in higher values
of π and Δint compared to nucleic acid-free
LNPs, while no such difference was observed at the higher pH values
of 7.4 and 8.5. At a pH of 5.5, the MC3 lipid becomes predominately
ionized (cationic), possibly causing the remaining LNPs to become
unstable,[20] releasing their component lipids
and, when present, forming water-insoluble complexes of MC3 and nucleic
acid.[7]At pH 7.4 and 8.5, although
the PEGylated lipids will be shed upon
injection, MC3 is predominately un-ionized. Therefore, less disintegration
of the LNPs is expected at these pH values and, when Poly(A) is present,
less formation and lower delivery of ionizable lipid–nucleic
acid complexes. This hypothesis can explain the lower increase in
π and the nature of the fluctuations observed in Δint and the similarity in behavior of both the Poly(A)-loaded
and nucleic acid-free LNPs at these pH values.[7]This hypothesis is further supported by the BAM experiments,
where
images taken at the late time points at pH 7.4 and 8.5 showed the
presence of much larger domains than those seen at pH 5.5, indicating
that the reduced LNP disintegration at higher pH values results in
the formation of large thick domains at the air/water interface. Regardless
of the pH and the absence/presence of Poly(A), a few minutes after
injection of the LNPs, the BAM images show the appearance of domains
of a few microns in size, which considerably increase in size over
the next couple of hours. The one exception to this is the Poly(A)-loaded
LNPs at pH 5.5 at 210 min after injection, where a distinct extended
network structure is observed. Such a feature is similar to those
seen in mixed films containing macromolecules,[56,57] and we infer that the domains may be formed due to the presence
of water-insoluble ionizable lipid–nucleic acid complexes at
the air/water interface.In summary, the following observations
can be made:(i) Higher π and Δint were
reached at pH
5.5 compared to pH 7.4 and 8.5, as a result of MC3 protonation, LNP
disruption, and lipid insertion and ionizable lipid–nucleic
acid delivery [Poly(A)-loaded LNPs only] to the surface.(ii)
Poly(A)-loaded LNPs reached higher π and Δint compared to nucleic acid-free LNPs but only at pH 5.5,
thereby demonstrating the impact of the lipid–nucleic acid
complex formation and delivery.(iii) The fluctuations in Δint recorded at pH
7.4 and 8.5 are the result of domain formation, as observed with BAM,
due to whole LNP translocation to the surface.
Nucleic Acid-Free LNPs
Interacting Similarly with Monolayer
Models of the Early and Late Endosomes
The interaction of
nucleic acid-free LNPs with the two model endosomal monolayers was
examined after their injection into a subphase at either pH 5.5 or
7.4 (Figure ). A starting
π of 15 mN m–1 was selected as a compromise
between a higher, more biologically relevant π of around 30–35
mN m–1 [58] and
a lower value that results in a more significant change in π.[59,60] In general, π was monitored for at least 2 h, and in some
cases up to 5 h, after injection. It should be noted that the injection
of a pure buffer under the EEM and LEM at pH 5.5 was investigated
as a control to ensure that the injection caused no mechanical disturbance
to the monolayer and introduced no artifacts into the data (Figure S1).
Figure 3
Changes in the (A) surface pressure and
(B) Δint and (C) BAM images of models of the EEM
(left panels) and LEM (right
panels) monolayers at pH 5.5 (5 mM MES buffer) after the injection
of nucleic acid-free LNPs at a concentration equivalent to that of
LNPs containing 1 μg mL–1 RNA. Injection was
performed at time 0 (black arrows indicate injection). The insets
in the middle panels are the frequencies of Δint between
60 and 180 min. The BAM images were acquired at the stated time after
injection of the LNPs. The scale bar is 100 μm. The insets are
3× magnified.
Changes in the (A) surface pressure and
(B) Δint and (C) BAM images of models of the EEM
(left panels) and LEM (right
panels) monolayers at pH 5.5 (5 mM MES buffer) after the injection
of nucleic acid-free LNPs at a concentration equivalent to that of
LNPs containing 1 μg mL–1 RNA. Injection was
performed at time 0 (black arrows indicate injection). The insets
in the middle panels are the frequencies of Δint between
60 and 180 min. The BAM images were acquired at the stated time after
injection of the LNPs. The scale bar is 100 μm. The insets are
3× magnified.In the presence of model
endosomal membranes at pH 5.5, a lag phase
was observed before any interaction of the nucleic acid-free LNPs
was seen, and although this interaction was slow, it was strong (Figure A). In the case of
the EEM, a lag of about 45 min was seen before π and Δint increased, whereupon the interaction continued for a total
of 75 min until maximum values of Δint and π
(40 mN m–1) were recorded. With the LEM, comparable
maximum values of Δint and π (38 mN m–1) were observed about 90 min after LNP injection.When LNPs
were injected under an EEM at a subphase of pH 7.4, a
lag of about 45 min was seen before any change in π occurred,
whereupon π increased to 18 mN m–1, further
increasing to 25 mN m–1 after 3 h. Δint showed a slight increase but only at later time points, at which
time some temporal fluctuations were observed (Figure B). By way of comparison, the lag phase and
fluctuations in Δint seen for a LEM were minimal,
with π increasing very slowly up to about 20 mN m–1 at 3 h after LNP injection, with only a very small change in Δint being observed. These observations suggest that at pH 5.5
material from LNPs was incorporated into the model membranes, but
only over an extended time period. This time lag was comparable to
the data obtained for the interaction of nucleic acid-free LNPs at
the bare air/water interface at pH 5.5 (Figure B) when a π of 15 mN m–1 was reached 2 h after LNP injection, with a maximum value of around
35 mN m–1 being observed at 4 h.In contrast,
at pH 7.4, the Δint fluctuations
observed with the EEM suggest the formation of domains as seen for
the LNPs alone. Significantly, at both pH values, the interaction
of nucleic acid-free LNPs with either the EEM or LEM monolayers is
qualitatively similar to no obvious differences being recorded for
the two membrane types.The BAM images (Figure C) highlight that, prior to LNP injection
at pH 5.5, micrometer-sized
domains were present in the monolayers However, upon injection, there
was a rapid formation of larger domains, which remained only for a
few minutes, providing further evidence for the proposed lipid exchange.
When a plateau in π of about 40 mN m–1 was
reached, the domains were less visible, probably as result of the
insertion of lipids from the LNPs into the monolayer. Interestingly,
this phenomenon was not observed at the higher pH of 7.4 because the
domains remained at the later time points, with some domains appearing
occasionally in the field of view of the camera (Figure S2); these domains are attributed to the fluctuations
in Δint observed for the EEM. For the LEM at both
pH values, bright spots are the most evident feature even after LNP
injection, although they tend to become more sparse over time as π
increased.In summary, the following observations can be made:(i) Nucleic acid-free LNPs injected underneath the EEM or LEM at
pH 5.5 resulted in much higher π and Δint values
compared to the corresponding system at pH 7.4 as a result of MC3
protonation, LNP disruption, and lipid components from LNP insertion
into the monolayer (Scheme A).(ii) At pH 7.4, the injection of nucleic acid-free
LNPs below the
EEM showed some Δint fluctuations, indicating the
formation of domains, as confirmed by the BAM data, due to whole LNP
binding (Scheme B).
Subphase pH Affecting the Extent of Interaction of Poly(A)-Loaded
LNPs with Monolayers of Endosomal Membranes
A range of subphase
pH values (5.5, 6.5, 7.0, 7.4, and 8.5) were selected to determine
in more detail the effect of the pH on the interaction of LNPs with
the two model endosomal membranes. Because different buffers were
used to obtain these different pH values, it was necessary to ensure
the absence of any effects due to the varying nature of the buffer.
As a control measurement, therefore, a comparison was made of the
results obtained using 5 mM MES and PBS buffers at pH 5.5 (Figure S3) to exclude any buffer related effects.
Because the effects of LNPs on the behavior of the EEM and LEM were
similar, both are discussed together.At pH 7.0 and 7.4, the
changes in π of both endosomal membranes after injection of
the LNPs were modest (Figure A), equilibrating at a value of just 22 mN m–1, suggesting only a limited insertion of LNP lipids into the monolayers.
Similarly, the temporal fluctuations in Δint were
minimal, indicating either the absence or limited phase separation
of the lipid and the formation of limited size domains (Figure B).
Figure 4
Changes in the (A) surface
pressure and (B) Δint and (C) BAM images of the EEM
(left panels) and LEM (right panels)
at pH 5.5 (5 mM MES buffer, light-green line), 6.5 (5 mM MES buffer,
dark-green line), 7.0 (PBS buffer, gray line), 7.4 (PBS buffer, purple
line), and 8.5 (10 mM TRIS buffer, light-blue line) after injection
of Poly(A)-loaded LNPs to a final RNA concentration of 1 μg
mL–1. Injection was performed at time 0 (black arrows
indicate injection). The insets in the middle panels are the frequencies
of Δint from 60 min until the end point. BAM images
were acquired at the stated time after injection of the LNPs. The
scale bar is 100 μm. The insets are 3× magnified.
Changes in the (A) surface
pressure and (B) Δint and (C) BAM images of the EEM
(left panels) and LEM (right panels)
at pH 5.5 (5 mM MES buffer, light-green line), 6.5 (5 mM MES buffer,
dark-green line), 7.0 (PBS buffer, gray line), 7.4 (PBS buffer, purple
line), and 8.5 (10 mM TRIS buffer, light-blue line) after injection
of Poly(A)-loaded LNPs to a final RNA concentration of 1 μg
mL–1. Injection was performed at time 0 (black arrows
indicate injection). The insets in the middle panels are the frequencies
of Δint from 60 min until the end point. BAM images
were acquired at the stated time after injection of the LNPs. The
scale bar is 100 μm. The insets are 3× magnified.At pH 8.5, the data are subtly different. Specifically,
while a
modest change in π indicates a limited insertion of LNP lipids
into each of the monolayers, the positive and negative temporal fluctuations
of Δint observed for the EEM indicate that the interfacial
film contains material that possesses a thickness greater than the
thin-film limit of a few tens of nanometers. This finding is in line
with the situation observed with LNPs in the absence of an endosomal
monolayer at pH 8.5 (Figure B).At pH 5.5 and 6.5, the observed differences are
even more pronounced.
Here, after a lag phase, there is a sharp increase in π to around
40 mN m–1, which is mirrored by an increase in the
baseline value of Δint and which is consistent with
an increase in the lipid density per unit area (Statistical Analysis and Figures S5 and S6).BAM images
of the interactions were acquired at three pH values,
representative of the different types of behavior discussed above
(Figure C). The images
highlighted that the characteristic small domains of the EEM remained
visible, even after LNP injection. At pH 7.4, significant changes
over time were not observed, consistent with the minimal effects of
interaction inferred above. However, at pH 8.5, large domains were
observed at later time points, confirming the phase separation inferred
from ellipsometry. The very bright spots typical of LEM monolayers
were also observed after LNP injection at every pH value measured.
The distinct laterally extended network structures seen for Poly(A)-loaded
LNPs at the bare air/water interface (Figure C) were also seen for both types of endosomal
membranes at pH 5.5 after an increase in π due to the presence
of Poly(A)-loaded LNPs, which plateaued at about 140 min (Figure C).In summary,
the following observations can be made:(i) At pH <7, significant
increases in π and in the baseline
of Δint were recorded after the injection of Poly(A)-loaded
LNPs underneath the EEM and LEM monolayers as a result of MC3 protonation,
LNP disruption, lipid insertion, and ionizable lipid–nucleic
acid delivery (Scheme A,C)(ii) At pH 5.5, pronounced fluctuations in Δint were observed, consistent with the formation of laterally
extended
network structures at late time points, as observed with BAM.(iii) At pH >6.5, only minimal changes in π and Δint were recorded, except at pH 8.5 with the EEM, where fluctuations
in Δint and larger domains with BAM were observed.
Nucleic Acid Cargo of the LNPs Affecting Their Extent of Interaction
with the Model Endosomal Membrane at pH 5.5
Figure A gives a comparison of the
changes in π and Δint of mRNA-loaded LNPs and
Poly(A)-loaded and nucleic acid-free LNPs at pH 5.5. The interaction
of mRNA-loaded LNPs with the two model monolayers was comparable to
that of the Poly(A)-loaded LNPs in terms of π. In fact, their
π values increased more quickly compared to those of the nucleic
acid-free LNPs, with lag phase times of 30 min for EEM and 30–40
min for LEM, reaching 40 and 35 mN m–1, respectively,
about 1 h after LNP injection. Furthermore, the duration of the lag
phase observed with ellipsometry (Figure B) was comparable. As observed above, Poly(A)-loaded
LNPs showed pronounced fluctuations in Δint, and,
interestingly, the baseline of Δint of mRNA-loaded
LNPs exhibited a greater increase than the Poly(A)-loaded and nucleic
acid-free LNPs. This is interpreted as a greater extent of delivery
of the MC3 lipid–nucleic acid complex, implying that the effect
of mRNA on the interface is greater, meriting further work on the
subject. On the other hand, no significant differences were observed
between the three types of LNPs with either endosomal membrane at
pH 7.4 (Figure S4), thus proving the crucial
role played by the pH-sensitive ionizable lipid MC3 in the interaction
with model endosomal monolayers.
Figure 5
Changes in the (A) surface pressure and
(B) Δint of the EEM (left panels) and LEM (right
panels) at pH 5.5 (5 mM
MES buffer) after the injection of nucleic acid-free, mRNA-loaded,
or Poly(A)-loaded LNPs at a final concentration of RNA of 1 μg
mL–1. Injection was performed at time 0 (black arrows
indicate injection).
Changes in the (A) surface pressure and
(B) Δint of the EEM (left panels) and LEM (right
panels) at pH 5.5 (5 mM
MES buffer) after the injection of nucleic acid-free, mRNA-loaded,
or Poly(A)-loaded LNPs at a final concentration of RNA of 1 μg
mL–1. Injection was performed at time 0 (black arrows
indicate injection).In summary, the following
observation can be made:(i) Although the same π was reached,
higher Δint values were exhibited at pH 5.5 with
mRNA-loaded LNPs compared to
nucleic acid-free and Poly(A)-loaded LNPs, indicating that larger
nucleic acid molecules may be able to interact more strongly with
ionizable lipid molecules and, consequently, interact more with model
endosomal membranes.
Discussion
While the importance
of endosomal escape for effective intracellular
delivery has been unequivocally established, little is known about
the mechanism of interaction of the LNPs with endosomal membranes,
assumed to be a prerequisite for endosomal escape. To our knowledge,
no one has reproduced the interaction of LNPs with model endosomal
membranes as we have done here or has elucidated the physicochemical
processes that take place with respect to the pH, the stage of the
endosome, and the nature of the nucleic acid cargo. To do this, we
have used a combination of a Langmuir trough using ellipsometry and
BAM to gain new information on processes including LNP binding, lipid
insertion, and nucleic acid delivery. Here, we used LNPs of the same
lipid composition as those examined previously by others[20,21] to allow us to relate the structure of the LNPs to their interaction
with the model endosomal membranes.The effects of the subphase
pH are dramatic. We have shown that,
on the basis of π and Δint, the strongest interactions
occur between LNPs (with/without a nucleic acid payload) at less than
or equal to pH 6.5 for both the EEM and LEM. A key feature of the
data, however, is an extended lag phase.The origin of the lag
phase observed at acidic pH is unclear. Therefore,
we propose two possible reasons for this. In the first, PEGylated
lipids are desorbed from the LNP surface while any MC3 is ionized
(positively charged), possibly inducing instability in the remaining
LNPs.[20] This would allow the LNP components
to diffuse into the air/water interface and interact with the model
endosomal monolayers. In this context, it has been previously reported
that LNPs of similar composition took about 15 min to shed about 50%
of their PEGylated lipid molecules ex vivo.[61] In the second, exchange of lipid material occurs
between the LNPs and the endosomal monolayers, as was observed in
a study of the interaction of cubic phase nanoparticles with a solid-supported
lipid bilayer.[62] The result would be no
net change in π or Δint until sufficient lipid
exchange has occurred, whereupon the packing density of the monolayer
increased, indicating that favorable lipid insertion occurs.It was mentioned that, in acidic conditions, MC3 is present in
its cationic form, which, together with PEG shedding, could result
in disintegration of the LNPs. It has been shown that MC3, when positively
charged, can form a water-insoluble complex with nucleic acid,[7] which would then be available to interact with
anionic lipids present in the model endosomal membrane. The injection
of free Poly(A), i.e., unentrapped in an LNP, gave results comparable
to those of the control buffer injection, proving that nucleic acid
on its own does not have any influence on the observed increase in
π and Δint (Figure S1). Therefore, MC3 lipid–nucleic acid complex delivery plus
insertion of other components of the LNPs are attributed to the pronounced
increase in π and the lipid density per unit area observed at
pH values equal or below 6.5 (Figure A,B).[63]At pH >7.0,
the interactions appear to be suppressed because lower
values of π and Δint values are reached, with
thick domains of material observed at extended interaction times with
BAM and fluctuations in Δint observed at pH 8.5 and,
in some cases, at pH 7.4, in either the presence or absence of endosomal
membranes (Figures B, 3B, and 4B). These
results together indicate that MC3 is the key component in LNP fusion
with the EEM and LEM at lower pH, a step that is crucial to triggering
endosomal escape of its nucleic acid cargo.[64] At higher pH, the LNPs can remain intact at the interface (Scheme ). It still remains
to be clarified, however, how the pH affects the PEG stability/desorption,
particularly because it was previously seen that buffer ions have
an effect on PEG–lipid interactions with lipid bilayers.[65]Perhaps surprisingly, the effect of the
stage of the endosomal
membrane is minimal. Although in some cases there were small differences
in the extent of interaction between the two model membranes, where
in such cases, the interaction of the LNPs with the EEM was favored.
For example, at pH 6.5, the extent of interaction of Poly(A)-loaded
LNPs with the EEM was slightly greater than that seen with the LEM
(Figure B). This is
a significant finding because pH 6.5 is typical of the early endosomes,
while lower pH values are found in the late endosomes; coupled with
this is the fact that it has been demonstrated that LNPs need to escape
at an early stage of the endosomal pathway in order to prevent LNP
accumulation, which was shown to suppress endosome acidification,
therefore reducing escape and inducing cytotoxicity.[66]Last, the effects of the nature of the LNP cargo
are also revealing.
Our data show that mRNA-loaded LNPs exhibit a stronger interaction
than Poly(A)-loaded LNPs with the model endosomal membranes at pH
5.5. In this case, Δint reaches higher values, while
π is unchanged, which together imply the formation of a more
substantial (i.e., thicker) layer, attributable to a greater amount
of nucleic acid bound to the cationic lipid head groups delivered
to the surface. Arteta et al. showed that mRNA is located inside water
cylinders in the core of the LNPs, interacting electrostatically with
the surrounding MC3 lipid;[21] indeed, nucleic
acid-free LNPs were reported to have a more ordered inverse droplet
micellar core, while RNA-loaded LNPs have an inverse wormlike micellar
core.[21] This observation was recently confirmed
by Sebastiani et al.[22] Because the FLuc
mRNA used here has a molecular weight of 618.5 kDa, larger than the
Poly(A) used at 100–500 kDa, it is assumed that each mRNA molecule
will interact with more MC3 molecules than Poly(A) will. As a consequence,
upon interaction with the endosomal monolayer, a more substantial
layer forms at the air/water interface. In fact, it was previously
reported that only weak electrostatic interactions are exhibited between
nucleic acid and MC3 for siRNA-loaded LNPs compared to LNPs loaded
with mRNA and Poly(A).[67]
Conclusions
In the present work, we have investigated the interactions of LNPs
that contain ionizable lipids with model endosomal membranes using
the platform of a Langmuir trough as a basis for the application of
reflectometry techniques for the first time. Physicochemical information
on the interactions was resolved through a comparison of the surface
pressure with the optical phase shift from ellipsometry and information
on the interfacial morphology provided by BAM imaging. The approach
has allowed us to understand the relative importance of the effects
of the subphase pH, the stage of the endosome, and the nucleic acid
cargo, which were until now unknown. The combination of techniques
applied in the present work has allowed us to elucidate LNP binding,
lipid insertion, and nucleic acid delivery mechanisms of the system.
Although clearly outside the scope of the present work, it may be
noted that, through the use of selective deuteration and careful experimental
design, a technique like neutron reflectometry could also be applied
to such systems to provide information on which lipids are exchanged
between the LNPs and model endosomal membranes during the course of
the interaction.[62] While the present results
clearly support the importance of the endosomal pH in the effectiveness
of LNPs in deliverying their nucleic acid cargo, the influence that
the nature of the nucleic acid had on its delivery was unexpected.
Our data imply that the extent of delivery of mRNA to the model membranes
is greater than that of Poly(A), a result that can be rationalized
in terms of the charge density of nucleic acid.[68] To our knowledge, this observation has not been previously
reported. A factor that surprisingly showed a relatively small effect
on the resulting interactions is the stage of the endosome modeled.
Although some small differences were observed, it was generally shown
that the nature of the interactions are broadly equivalent in the
early- and late-stage endosomes. Taken together, these observations
imply that, in order to further improve the delivery of nucleic acid,
there is a need to develop delivery systems that more rapidly release
their cargo at the endosomal pH to increase the possibility of endosomal
release and to optimize their design to match the nucleic acid it
is carrying.
Authors: Marian E Gindy; Katherine DiFelice; Varun Kumar; Robert K Prud'homme; Robert Celano; R Matthew Haas; Jeffrey S Smith; David Boardman Journal: Langmuir Date: 2014-04-09 Impact factor: 3.882
Authors: Jerome Gilleron; William Querbes; Anja Zeigerer; Anna Borodovsky; Giovanni Marsico; Undine Schubert; Kevin Manygoats; Sarah Seifert; Cordula Andree; Martin Stöter; Hila Epstein-Barash; Ligang Zhang; Victor Koteliansky; Kevin Fitzgerald; Eugenio Fava; Marc Bickle; Yannis Kalaidzidis; Akin Akinc; Martin Maier; Marino Zerial Journal: Nat Biotechnol Date: 2013-06-23 Impact factor: 54.908
Authors: Jayesh A Kulkarni; Johnathan Layne Myhre; Sam Chen; Yuen Yi C Tam; Adrian Danescu; Joy M Richman; Pieter R Cullis Journal: Nanomedicine Date: 2016-12-28 Impact factor: 5.307
Authors: Sean C Semple; Akin Akinc; Jianxin Chen; Ammen P Sandhu; Barbara L Mui; Connie K Cho; Dinah W Y Sah; Derrick Stebbing; Erin J Crosley; Ed Yaworski; Ismail M Hafez; J Robert Dorkin; June Qin; Kieu Lam; Kallanthottathil G Rajeev; Kim F Wong; Lloyd B Jeffs; Lubomir Nechev; Merete L Eisenhardt; Muthusamy Jayaraman; Mikameh Kazem; Martin A Maier; Masuna Srinivasulu; Michael J Weinstein; Qingmin Chen; Rene Alvarez; Scott A Barros; Soma De; Sandra K Klimuk; Todd Borland; Verbena Kosovrasti; William L Cantley; Ying K Tam; Muthiah Manoharan; Marco A Ciufolini; Mark A Tracy; Antonin de Fougerolles; Ian MacLachlan; Pieter R Cullis; Thomas D Madden; Michael J Hope Journal: Nat Biotechnol Date: 2010-01-17 Impact factor: 54.908