Lipid nanoparticles (LNP) containing ionizable cationic lipids are the leading systems for enabling therapeutic applications of siRNA; however, the structure of these systems has not been defined. Here we examine the structure of LNP siRNA systems containing DLinKC2-DMA(an ionizable cationic lipid), phospholipid, cholesterol and a polyethylene glycol (PEG) lipid formed using a rapid microfluidic mixing process. Techniques employed include cryo-transmission electron microscopy, (31)P NMR, membrane fusion assays, density measurements, and molecular modeling. The experimental results indicate that these LNP siRNA systems have an interior lipid core containing siRNA duplexes complexed to cationic lipid and that the interior core also contains phospholipid and cholesterol. Consistent with experimental observations, molecular modeling calculations indicate that the interior of LNP siRNA systems exhibits a periodic structure of aqueous compartments, where some compartments contain siRNA. It is concluded that LNP siRNA systems formulated by rapid mixing of an ethanol solution of lipid with an aqueous medium containing siRNA exhibit a nanostructured core. The results give insight into the mechanism whereby LNP siRNA systems are formed, providing an understanding of the high encapsulation efficiencies that can be achieved and information on methods of constructing more sophisticated LNP systems.
Lipid nanoparticles (LNP) containing ionizable cationic lipids are the leading systems for enabling therapeutic applications of siRNA; however, the structure of these systems has not been defined. Here we examine the structure of LNP siRNA systems containing DLinKC2-DMA(an ionizable cationic lipid), phospholipid, cholesterol and a polyethylene glycol (PEG) lipid formed using a rapid microfluidic mixing process. Techniques employed include cryo-transmission electron microscopy, (31)P NMR, membrane fusion assays, density measurements, and molecular modeling. The experimental results indicate that these LNP siRNA systems have an interior lipid core containing siRNA duplexes complexed to cationic lipid and that the interior core also contains phospholipid and cholesterol. Consistent with experimental observations, molecular modeling calculations indicate that the interior of LNP siRNA systems exhibits a periodic structure of aqueous compartments, where some compartments contain siRNA. It is concluded that LNP siRNA systems formulated by rapid mixing of an ethanol solution of lipid with an aqueous medium containing siRNA exhibit a nanostructured core. The results give insight into the mechanism whereby LNP siRNA systems are formed, providing an understanding of the high encapsulation efficiencies that can be achieved and information on methods of constructing more sophisticated LNP systems.
Lipid nanoparticles (LNP)
are the leading delivery systems for
enabling the therapeutic potential of siRNA for systemic applications.[1,2] LNP siRNA systems containing optimized ionizable cationic lipids
can exhibit remarkable in vivo potencies at doses as low as 0.02 mg
siRNA/kg body weight for silencing liver (hepatocyte) target genes
in rodents following intravenous (i.v.) injection.[2] These systems are relatively nontoxic, leading to therapeutic
indices in mice approaching 1000, indicating potential clinical utility.Despite this progress, the structure of these LNP siRNA systems
is unclear. Some models of LNP siRNA suggest a bilayer vesicle structure
of the LNP with siRNA on the inside in an aqueous interior,[3] however other observations suggest that such
models may be incorrect. For example, recent cryo-transmission electron
microscopy (cryo-TEM) studies of LNP siRNA systems formed by mixing
an ethanol stream containing lipid with an aqueous stream containing
siRNA using a T-tube mixing system results in LNP that have electron-dense
cores[4] rather than the less dense aqueous
cores observed for vesicular systems.[5] In
addition, formulation of LNP siRNA systems using the T-tube mixer[6] can result in siRNA encapsulation efficiencies
above 70%, an observation that is difficult to reconcile with bilayer
vesicular structure. This is because encapsulation depends on the
presence of cationic lipid and it would therefore be expected that
the maximum encapsulation efficiency should be approximately 50% for
bilayer systems, assuming that the cationic lipid is equally distributed
on both sides of the bilayer.In this work, we characterize
the structure of LNP siRNA systems
produced using a rapid microfluidic mixing technology[7] by employing a variety of biophysical assays as well as
in silico simulations. Cryo-TEM studies show that these LNP siRNA
systems exhibit an electron-dense core (in contrast to bilayer vesicle
systems), and that “limit size” systems can be generated
at high PEG-lipid contents that are consistent with the ability of
siRNA to stimulate formation of inverted micelles in association with
cationic lipid. Fluorescent energy resonance transfer (FRET), 31P NMR, and RNase digestion studies show that encapsulated
siRNA is associated with internalized cationic lipid, is effectively
immobilized on the NMR time scale and is fully protected from external
RNase. Density gradient studies show that the density of LNP siRNA
systems can vary from being significantly less dense than bilayer
vesicle systems to exhibiting increased densities at higher siRNA
contents. Taken together, these experimental results suggest that
siRNA resides in inverted micelles within the overall LNP siRNA structure.
These results are consistent with molecular modeling studies that
indicate these LNP siRNA systems have a nanostructured core consisting
of a periodic arrangement of aqueous compartments, some of which contain
siRNA duplexes.
Experimental Section
Materials
The lipids 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC), 1,2-distearoyl-sn-glycero-3-phosphocholine (DSPC), 1,2-dioleoyl-sn-glycero-3-phosphoserine (DOPS), 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine-N-(7-nitro-2-1,3-benzoxadiazol-4-yl)
(NBD-PE), and 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine-N-(lissamine rhodamine B sulfonyl) (Rh-PE) were obtained
from Avanti Polar Lipids (Alabaster, AL). 4-(2-Hydroxyethyl) piperazine-1-ethanesulfonic
acid (HEPES), cholesterol, Sephadex G-50, tetrasodium EDTA, Trizma
Base, and xylene cyanol were obtained from Sigma-Aldrich (St. Louis,
MO). Triton X-100 and 2-(N-morpholino)ethanesulfonic
acid (MES) were obtained from BDH (Westchester, PA). Ammonium acetate,
boric acid, sodium acetate, and sodium chloride were obtained from
Fisher Scientific (Fair Lawn, NJ). BovinepancreaticRNase A was purchased
from Applied Biosystems/Ambion (Austin, TX). Deionized formamide was
obtained from GIBCO BRL (Grand Island, NY). Bromophenol blue was obtained
from BioRad (Hercules, CA). The phosphodiester siRNA used in this
study was obtained from Invitrogen (Carlsbad, CA), and phosphorothioate
siRNA were 25-mer blunt-end duplexes (sense -5′ -GCCUUAACUUUGGUGAUCAAGGAUA-3′)
and were obtained from Dharmacon (Lafayette, CO). The ionizable cationic
lipid2,2-dilinoleyl-4-(2-dimethylaminoethyl)-[1,3]-dioxolane (DLinKC2-DMA)
and N-[(methoxy polyethylene glycol 2000 carbamyl]-1,2-dimyristyloxlpropyl-3-amine
(PEG-c-DMA) were obtained from AlCana Technologies Inc., Vancouver,
BC. Cholesterol E totalcholesterol assay kit was obtained from Wako
Diagnostics (Richmond, VA). Quant-it RiboGreen RNA assay kit was obtained
from Molecular Probes (Eugene, OR).
Preparation of POPC/Cholesterol Bilayer Vesicles
Bilayer POPC/cholesterol (1:1; mol/mol) vesicles were prepared
by hydration of a dried lipid film with PBS, and the dispersion was
then freeze–thawed five times using liquid nitrogen. Unilamellar
vesicles were then prepared by extruding the frozen and thawed lipid
suspension 10 times through two stacked 80 nm pore size polycarbonate
filters.
Preparation of LNP siRNA Systems
LNP were prepared by mixing appropriate volumes of lipid stock solutions
in ethanol buffer with an aqueous phase containing siRNA duplexes
employing a microfluidic micromixer as described elsewhere.[7] For the encapsulation of siRNA, the desired amount
of siRNA was dissolved in 25 mM sodium acetate, pH 4.0. Equal volumes
of the lipid in ethanol and the siRNA in buffer were combined in the
microfluidic micromixer using a dual-syringe pump (model S200, KD
Scientific, Holliston, MA) to drive the solutions through the micromixer
at a combined flow rate of 2 mL/min (1 mL/minute for each syringe).
A herringbone micromixer[8] was employed.
The mixed material was diluted into an equal volume of 25 mM sodium
acetate buffer, pH 4.0, upon leaving the micromixer outlet, thus reducing
the ethanol content to 25%. The lipid mixture was then dialyzed for
4 h against 1000 volumes of 50 mM MES/50 mM sodium citrate buffer
(pH 6.7) followed by an overnight dialysis against 1000 volumes of
1× phosphate buffered saline, pH 7.4 (GIBCO, Carlsbad, CA) using
Spectro/Por dialysis membranes (molecular weight cutoff 12 000–14 000
Da, Spectrum Laboratories, Rancho Dominguez, CA). The mean diameter
of the LNP after dialysis was 41.3 ± 14.9 nm as determined by
dynamic light scattering (number mode; NICOMP 370 submicrometer particle
sizer, Santa Barbara, CA). Lipid concentrations were determined by
measuring totalcholesterol using the Cholesterol E enzymatic assay
from Wako Chemicals USA (Richmond, VA). Encapsulation efficiency was
calculated by determining unencapsulated siRNA content by measuring
the fluorescence upon the addition of RiboGreen (Molecular Probes,
Eugene, OR) to the siRNA-LNP (Fi) and
comparing this value to the total siRNA content that is obtained upon
lysis of the LNP by 1% Triton X-100 (Ft): % encapsulation = (Ft – Fi)/Ft × 100.Limit size particles were prepared by mixing 20 mM DLinKC2-DMA/PEG-c-DMA
(90/10, mol %) dissolved in ethanol with five volumes of 25 mM sodium
acetate, pH 4.0 containing siRNA. Mixing of the two streams are accomplished
using the above-mentioned herring micromixer device with a flow-rate
of 0.5 mL/min for the lipid/ethanol stream and 2.5 mL/min for the
aqueous stream. Ethanol was removed by first diluting the lipid mixture
with sodium acetate buffer, pH 4.0 and then removing the ethanol-containing
buffer with an Amicon Ultra, 10 000 MWCO, regenerated cellulose
concentrator (Millipore, Billerica, MA). The process was repeated
five times to ensure all residualethanol was removed.
Cryo-TEM
Cyro-TEM samples were prepared
by applying 3 μL LNP at 10–20 mg/mL totallipid to a
standard electron microscopy grid with a perforated carbon film. Excess
liquid was removed from the grid by blotting and then the grid was
plunge-frozen in liquid ethane to rapidly freeze the sample using
a Vitrobot system (FEI, Hillsboro, Oregon). Images were taken under
cryogenic conditions (∼88 K) at a magnification of 50 000×
with an AMT HR CCD side mount camera. Samples were loaded with a Gatan
70 degree cryo-transfer holder in an FEI G20 Lab6 200 kV TEM (FEI,
Hillsboro, OR) under low dose conditions with an under-focus of 4–6
μm to enhance image contrast. Experiments were performed at
the University of British Columbia Bioimaging Centre (Vancouver, BC).
Particle diameters were measured from the micrographs with the aid
of ImageJ (National Institute of Health, Bethesda, MD). Average diameters
and standard deviations were calculated from more than 150 particles.
RNase Protection Assay
Factor VII
siRNA was encapsulated with LNP formulations containing 40% DLinKC2-DMA,
11.5% DSPC, 47.5% cholesterol, and 1% PEG-c-DMA (mol %). An amount
of 1.0 μg of siRNA (entrapped in LNP) was incubated with 0.05
μg of bovinepancreaticRNase A (Ambion, Austin, TX) in 50 μL
of 20 mM HEPES (pH 7.0) at 37 °C for 1 h. At the end of the incubation,
a 10 μL aliquot of the reaction mix was added to 30 μL
of FA dye (deionized formamide, TBE, PBS, xylene cyanol, bromophenol
blue, triton X-100) to halt the RNase reaction. Gel electrophoresis
was performed using 20% native polyacrylamide gel, and nucleic acids
were visualized by staining with SYBR-Safe (Invitrogen, Carlsbad,
CA).
31P NMR Studies
Proton-decoupled 31P NMR spectra were obtained using a Bruker AVII 400 spectrometer
operating at 162 MHz. Free induction decays (FID) corresponding to
∼104 scans were obtained with a 15 μs, 55
degree pulse with a 1 s interpulse delay and a spectral width of 64
kHz. An exponential multiplication corresponding to 50 Hz line broadening
was applied to the FID prior to Fourier transformation. The sample
temperature was regulated using a Bruker BVT 3200 temperature unit.
Measurements were performed at 25 °C. Experiments were performed
at the Centre for the Drug Research and Development, Vancouver, BC.
FRET Membrane Fusion Studies
Fusion
between LNP siRNA nanoparticles and anionic DOPS bilayer vesicles
was assayed by employing a fluorescence resonance energy transfer
lipid mixing assay.[9,10] Labeled DOPS vesicles containing
NBD-PE and Rh-PE (1 mol % each) were prepared by hydration of the
lipid in a thin film with 20 mM HEPES buffer at pH 7.0 followed by
10 extrusions through two stacked 100 nm pore size polycarbonate filters
(Nuclepore) using the Extruder (Northern Lipids, Vancouver, BC). LNP
composed of 40% DLinKC2-DMA, 11.5% DSPC, 47.5% cholesterol, and 1%
PEG-c-DMA were prepared with an siRNA-to-totallipid ratio (D/L ratio,
wt/wt) of 0, 0.06, and 0.24. A D/L ratio of 0.24 represents a charge
ratio of negative (siRNA–phosphate) to positive (cationic lipid–amine)
of one. Lipid mixing experiments were conducted as previously described.[10] Unlabeled LNP were added to a stirred cuvette
containing NBD-PE/Rh-PE labeled DOPS vesicles at a 2:1 lipid molar
ratio (200 μM LNP/100 μM DOPS vesicles) in 2 mL of 10
mM ammonium acetate, 10 mM MES, 10 mM HEPES, and 130 mM NaCl equilibrated
to pH 5.5. Fluorescence of NBD-PE was monitored using 465 nm excitation
and 535 nm emission using a Perkin-Elmer LS-55 fluorimeter with a
1 × 1 cm cuvette under continuous low speed stirring. Lipid mixing
was monitored for approximately 10 min, after which 20 μL of
10% Triton X-100 was added to disrupt all lipid vesicles, representing
infinite probe dilution (0.1% Triton X-100 vol/vol final). Lipid mixing
was expressed as a percentage of infinite probe dilution determined
using the equation: % lipid mixing = (F – F0)/(Fmax – F0) × 100, where F is the
fluorescence intensity measured by the assay, F0 is the initial fluorescence intensity of NBD-PE/Rh-PE/DOPS
vesicles, and Fmax is the maximum fluorescence
intensity at infinite probe dilution after the addition of Triton
X-100 (0.1% v/v final).
Sucrose Density Gradient Centrifugation
Solutions of 1%, 2.5%, 5%, 10% and 15% sucrose (wt/vol) were prepared
in distilled water and used to make a 10 mL step gradient. Gradients
were prepared successively overlaying 2 mL of less concentrated sucrose
on top of the more concentrated ones. LNP and POPC/cholesterol vesicles
were prepared as described above. Five hundred μL of sample
was applied to the gradient and was centrifuged at 39000 rpm in a
Beckman SW41 swing bucket rotor using a Beckman Coulter Optima LE-80K
ultracentrifuge (Brea, CA) for 18 h. These conditions results in an
average centrifugal force of approximately 190 000g in the middle of the tube. After centrifugation, 500 uL fractions
were successively removed from the top. Lipid content from each fraction
was determined using the Cholesterol E enzymatic assay from Wako Chemicals
USA (Richmond, VA) described above.
Computer Simulation of LNP-siRNA Systems
The LNP containing nucleic acids was formed by first simulating
the self-assembly of a smaller building block, then creating a large
particle by spatial translations of the building block, coating the
large particle with a polymer-grafted lipid, and resolvating the system.
The building block was self-assembled starting from random configurations
in a small system (Figure 7A). The small system
contained all components excluding the polymerlipid and was prepared
at low, intermediate, and high hydration levels (12, 20, and 40 water
molecules per lipid, respectively). Self-assembly resulted in a periodic
nanostructure with enclosed water compartments (Figure 7B). We also simulated self-assembly of a medium-sized system
with all components including the polymer-grafted lipid as a test
case. It resulted in the structure similar to the small system at
low hydration, and the low-hydration building block was selected for
simulations of the large system. The solvent was removed, and the
building block was multiplied 3 × 3 × 3 times to obtain
a large nanoparticle, retaining a small spacing (<1 nm) between
the translated unit cells. This nanoparticle was coated with a polymer-grafted
lipid. The coating layer contained the polymerlipid in random conformations
distributed within a thin slab (∼3 nm), and was placed in close
proximity (∼1 nm) at all facets of the nanoparticle. This system
was then resolvated (water placed inside and outside of LNP) in a
large simulation box.
Figure 7
Self-assembly from a
random configuration (a) into a building block
(b) for a lipid nanoparticle (LNP). A mixture of DLinKC2-DMA, DSPC and cholesterol (576 DLinKC2-DMAlipids, 144 DSPC lipids and
576 cholesterol molecules; 44/11/44; mol/mol) is placed in a small
simulation box at a low hydration level; see text. DLinKC2-DMAis shown
in yellow, cholesterol in pink, DSPC in gray, lipid polar moiety in
cyan, and nucleic acids (12 bp duplex DNA) in red; water not shown
for clarity.
The small systems contained 8 duplex 12
bp DNA complexes, 576 DLinKC2-DMAlipids, 144 DSPClipids, and 576
cholesterol molecules. The medium-sized system contained 64 DNAs,
4608 DLinKC2-DMAlipids, 1152 DSPC, 4608 cholesterols, and 1152 PEG-lipids.
The large system contained 216 DNAs, 15552 DLinKC2-DMAlipids, 3888
DSPC, 15 552 cholesterols, and 3888 PEG-lipids. The total ratio
in the medium and large systems was DLinKC2-DMA/DSPC/cholesterol/PEG-lipid
4:1:4:1 (molar), and DNA to lipid ratio ∼0.05 wt/wt, similar
to experimental conditions.[2] The small
system at low, intermediate, and high hydration levels contained 4030,
6530, and 12 560 water particles, respectively; the medium
and large systems contained ∼400 000 and ∼900 000
water particles, respectively; Cl– ions were added
to all systems to neutralize the charge. The large system included
∼1 400 000 particles in total, had a box size
of 54 × 54 × 54 nm3, and was simulated for 10
μs (actual simulation time is indicated). Two independent runs
of 5 μs each were performed for the medium-sized system, and
six copies of the small system (two for each level of hydration) were
simulated for 1 μs.The MARTINI coarse-grained (CG) force
field was employed.[11] In this force field,
typically one MARTINI particle
represents 4 heavy atoms. siRNA duplexes were represented by 12 base
pair double stranded DNAs; the RNA molecules would have minor differences
in the Lennard–Jones interactions, and lower chain flexibility
which would be important for longer strands. Models for DNA[12] and DSPClipid were downloaded from the MARTINI
Web site (http://md.chem.rug.nl/cgmartini/index.php/downloads). The headgroup of DLinKC2-DMAlipid comprised charged (Qd type)
and apolar (C4) particles, and the linker was constituted by a ring
of SC4 and 2 SP1 particles. Available models for sphingomyelin and
PEGpolymer[13] were combined to produce
the PEG-grafted ceramide lipid (containing a chain of 7 beads). While
longer polymer chains are used in experimental studies to control
the nanoparticle size, here a short chain length was incorporated
to avoid unnecessary and computationally expensive increase of the
simulation box volume (to accommodate longer chains). Short polymers
combined with a moderate water volume surrounding the nanoparticle
were sufficient to keep it disconnected from its periodic image in
our simulations. However, a somewhat larger molar concentration of
the short PEG-lipid (as compared to longer polymers in the experimental
setups) was required to cover the whole nanoparticle surface.Simulations were performed with the Gromacs v.4 software package.[14] For nonbonded interactions, the standard cutoffs
for the MARTINI force field were used: the Lennard–Jones potential
was shifted to zero between 0.9 and 1.2 nm, the Coulomb potential
was shifted to zero between 0 and 1.2 nm, with a relative dielectric
constant of 15. The time step was 10 fs with the neighbor list updates
every 10 steps. The system was coupled to an isotropic pressure of
1 bar using the Berendsen barostat[15] with
a time constant of 4 ps. Lipids, water, and nucleic acids were coupled
separately to a temperature of 310 K using the velocity rescaling
thermostat[16] with a time constant of 1
ps.
Results and Discussion
Microfluidic Mixing Allows Highly Efficient
Encapsulation of siRNA in LNP-siRNA Systems over a Wide Range of siRNA/Lipid
Charge Ratios
As noted above, high siRNA encapsulation levels
for siRNA in LNP systems are inconsistent with bilayer structure,
where a maximum encapsulation efficiency of 50% would be expected.
Here we characterized the encapsulation efficiencies of LNP siRNA
systems over a range of siRNA/cationic lipid charge ratios using the
microfluidic mixing process as described in the Experimental
Section and employing the lipid mixture DLinKC2-DMA/DSPC/Chol/PEG-lipid
(40/11.5/47.5/1; mol/mol). The resulting LNP siRNA systems exhibited
diameters of approximately 50 nm (number mode) as measured by dynamic
light scattering. Essentially complete (∼ 95% as indicated
using the Ribo-Green assay) encapsulation was achieved over a wide
range of siRNA/cationic charge ratios, including charge ratios as
high as 1.25 (see Figure 1, Supporting Information). These observations suggest that the microfluidic mixing technique
for formulating siRNA allows somewhat more efficient encapsulation
than the T-tube mixing technique where trapping efficiencies of ∼70%
have been noted.[6]
LNP Systems Exhibit an Electron Dense Core
Structure As Indicated by Cryo-TEM
In the next set of experiments,
the cryo-TEM characteristics of the LNP siRNA systems produced by
microfluidic mixing were investigated for the DLinKC2-DMA/DSPC/Chol/PEG-lipid
(40/11.5/47.5/1; mol/mol) lipid composition. As shown in Figure 1A and B, LNP siRNA systems prepared at siRNA/totallipid ratios of 0.06 and 0.24, corresponding to siRNA-to-cationic
charge ratios of 0.25 and 1, exhibited an electron dense core similar
to that observed for LNP siRNA systems formulated using the T-tube
apparatus.[4] The electron dense LNP siRNA
structure contrasts with the less dense interior of a vesicle system
with an aqueous interior generated from POPC/cholesterol (1:1; mol/mol)
(Figure 1C) and is visually similar to the
electron dense interior exhibited by cryo-TEM of a colloidal fat emulsion
as reported by Kuntsche et al.[17]
Figure 1
LNP containing
DLinKC2-DMA exhibit electron dense cores both in
the presence and absence of encapsulated siRNA as indicated by cryo-TEM.
LNP were prepared by microfluidic mixing employing a herringbone mixer
as indicated in the Experimental Section.
POPC/cholesterol (50/50; mol/mol) bilayer vesicles were prepared by
extrusion through polycarbonate filters with 80 nm pore size. (A)
Cryo-TEM micrograph obtained from LNP siRNA with lipid composition
DLinKC2-DMA/DSPC/Chol/PEG-lipid (40/11.5/47.5/1; mol/mol) and siRNA
at a siRNA/lipid ratio of 0.06, wt/wt, corresponding to an siRNA/cationic
lipid charge ratio of 0.25. (B) LNP with the same lipid composition
as for (A) but prepared at an siRNA/lipid ratio of 0.24 wt/wt, corresponding
to an siRNA/cationic lipid charge ratio of 1. (C) Cryo-TEM micrograph
of POPC/cholesterol (1:1) vesicles. (D) LNP with the same lipid composition
as for (A) and (B) but prepared in the absence of siRNA.
LNP containing
DLinKC2-DMA exhibit electron dense cores both in
the presence and absence of encapsulated siRNA as indicated by cryo-TEM.
LNP were prepared by microfluidic mixing employing a herringbone mixer
as indicated in the Experimental Section.
POPC/cholesterol (50/50; mol/mol) bilayer vesicles were prepared by
extrusion through polycarbonate filters with 80 nm pore size. (A)
Cryo-TEM micrograph obtained from LNP siRNA with lipid composition
DLinKC2-DMA/DSPC/Chol/PEG-lipid (40/11.5/47.5/1; mol/mol) and siRNA
at a siRNA/lipid ratio of 0.06, wt/wt, corresponding to an siRNA/cationic
lipid charge ratio of 0.25. (B) LNP with the same lipid composition
as for (A) but prepared at an siRNA/lipid ratio of 0.24 wt/wt, corresponding
to an siRNA/cationic lipid charge ratio of 1. (C) Cryo-TEM micrograph
of POPC/cholesterol (1:1) vesicles. (D) LNP with the same lipid composition
as for (A) and (B) but prepared in the absence of siRNA.The LNP siRNA formulation employed in Figure 1A contains siRNA at a 0.06 siRNA/lipid (w/w) ratio
which corresponds
to an siRNA-to-cationic lipid charge ratio of 0.25. As a result, when
the LNP siRNA is formulated at pH 4.0, approximately 75% of the cationic
lipid is not complexed to siRNA in the LNP. It is therefore of interest
that the LNP siRNA particles observed in Figure 1A exhibit an electron dense interior with no evidence of an internal
aqueous core. This suggests that the cationic lipid may contribute
to the electron dense interior even when not complexed to siRNA. In
order to determine whether this is the case, LNP systems with the
same lipid composition but no siRNA were formulated employing the
microfluidic process and characterized by cryo-TEM. As shown in Figure 1D, an electron dense core was observed in the absence
of siRNA, indicating that cationic lipids such as DLinKC2-DMA, possibly
in combination with DSPC and cholesterol, contribute to electron dense
structures in the LNP interior.
LNP Containing Cationic Lipid Exhibit Limit
Sizes Consistent with the Formation of Inverted Micellar Structures
in the LNP Interior Both in the Presence and Absence of siRNA
The structures that could give rise to the electron dense cores detected
by cryo-TEM are of interest. In the absence of siRNA it may be proposed
that the cationic lipid, in association with a counterion, adopts
an inverted structures such as inverted micelles, consistent with
the propensity of these lipids for highly curved “inverted”
structures such as the hexagonal HII phase in mixtures
with anionic lipids.[18,19] These structures are inverted
in the sense that the polar headgroups are oriented toward interior
aqueous cores with diameters as small as 3 nm.[20] The actual equilibrium radius of an inverted micelle could
be larger as dictated by the intrinsic or spontaneous radius of curvature
of the constituent lipids.[21] In turn, assuming
a bilayer thickness of 4 nm this would suggest that LNP systems composed
of pure cationic lipid should exhibit limit sizes with diameters in
the range of 11 nm or larger, which is essentially a bilayer surrounding
an aqueous interior with diameter as small as 3 nm. Alternatively,
in the presence of siRNA, it is logical to suppose that the limit
size particle consists of a distorted inverted micelle of cationic
lipid surrounding the siRNA oligonucleotide. In turn, this would suggest
a limit size system as small as 14 nm diameter, assuming that the
siRNA contained in this inverted micelle is surrounded by an inner
monolayer of cationic lipid within an outer monolayer of surface lipid
and that the dimensions of the siRNA are 2.6 nm in diameter and 5.8
nm in length.[22]Here we explored
whether limit size particles compatible with such structures could
be generated using PEG-lipid as the surface lipid. In this regard,
a vesicle containing an internal aqueous core of 3 nm diameter has
an outside-to-inside surface area ratio of 6.8 (assuming a bilayer
thickness of 4 nm), indicating that the outer monolayer requires the
presence of lipids that provide an interfacial area approximately
7 times larger than the inner monolayer area. Assuming that the interfacial
area for a lipid such as DLinKC2-DMA is similar to that of dioleoylphosphatidylcholine
(0.7 nm2),[23] it is straightforward
to show that approximately 10 mol % PEG2000-lipid (surface
area per molecule 36 nm2)[24] would
be required to coat inverted micelles composed of DLinKC2DMA with
an aqueous core 3 nm in diameter.We therefore examined the
limit size LNP that could be achieved
for a DLinKC2-DMA/PEG-c-DMA system (90:10, mol:mol) produced by the
microfluidic mixing process. The size determined from cryo-TEM micrographs
(Figure 2A) was 14.7 ± 6.9 nm, consistent
with an ability of the cationic lipid to form inverted micellar structures
with interior aqueous diameters in the range of 8 nm. On the other
hand, the limit size of LNP siRNA systems formulated at an siRNA-to-cationic
lipid charge ratio of one resulted in limit size systems of 22.7 ±
6.1 nm in diameter (Figure 2B), consistent
with the presence of inverted micelles with interior diameters of
approximately 15 nm consisting of cationic lipid complexed to internalized
siRNA.
Figure 2
LNP exhibit limit sizes consistent with inverted micelle structure
in presence and absence of siRNA. Limit size LNP were prepared by
microfluidic mixing as indicated in the Experimental
Section. (A) Cryo-TEM micrograph obtained from LNP with lipid
composition DLinKC2DMA/PEG-lipid (90/10; mol/mol) in the absence of
siRNA. (B) LNP with the same composition as for (A) but prepared with
siRNA at an siRNA-to-cationic lipid charge ratio of 1. (C) Size distribution
of LNPs in Figure 2A and (D) size distribution of LNPs in (B). Particle
diameters are determined with the aid of Image J (NIH, Bethesda, MD),
and average diameters are calculated from over 150 particles.
LNP exhibit limit sizes consistent with inverted micelle structure
in presence and absence of siRNA. Limit size LNP were prepared by
microfluidic mixing as indicated in the Experimental
Section. (A) Cryo-TEM micrograph obtained from LNP with lipid
composition DLinKC2DMA/PEG-lipid (90/10; mol/mol) in the absence of
siRNA. (B) LNP with the same composition as for (A) but prepared with
siRNA at an siRNA-to-cationic lipid charge ratio of 1. (C) Size distribution
of LNPs in Figure 2A and (D) size distribution of LNPs in (B). Particle
diameters are determined with the aid of Image J (NIH, Bethesda, MD),
and average diameters are calculated from over 150 particles.
Encapsulated siRNA Is Immobilized in the LNP
siRNA System
If the siRNA is complexed to cationic lipid
and localized in an inverted micelle inside the LNP, it would be expected
to be less mobile than if freely tumbling in the aqueous interior
of a bilayer vesicle system. The mobility of the siRNA can be probed
using 31P NMR techniques. In particular, it would be expected
that limited motional averaging would be possible for complexed siRNA,
leading to very broad “solid state” 31P NMR
resonances due to the large chemical shift anisotropy of the phosphatephosphorus.[25] If, on the other hand, the
siRNA is able to freely tumble in an aqueous environment, rapid motional
averaging would be expected to lead to narrow, readily detectable 31P NMR spectra. In order to avoid conflicting 31P NMR signals arising from phosphorus in phospholipids and siRNA,
phosphorothoiate siRNA, which gives a 31P NMR signal that
is shifted downfield from the normalphosphate resonance, was used
to ascertain the motional environment of the siRNA.As shown
in Figure 3A, the 31P NMR signal
from free phosphorothioate siRNA is a doublet peak, shifted approximately
56 ppm downfield from the phosphate resonance.[26,27] The doublet structure may be attributed to the presence of Rp and
Sp isomers of the siRNA strands.[28] For
LNP siRNA systems with the lipid composition DLinKC2-DMA/DSPC/Chol/PEG-c-DMA
(40/11.5/47.5/1 mol %) and containing siRNA (0.06 siRNA/lipid; wt/wt)
no 31P NMR signal was observable for the encapsulated siRNA
(Figure 3B), consistent with immobilization
within the LNP core. Detergent solubilization of the LNP particle
using sodium dodecyl sulfate (1% vol/vol) resulted in recovery of
the siRNA signal (Figure 3C).
Figure 3
Encapsulated siRNA is
immobilized on the NMR time scale. (A) 31P signal from
free (phosphothioate) siRNA. Note that phosphothioate
siRNA, which gives rise to a 31P NMR resonance ∼56
ppm downfield of the phosphodiester peak, was used to avoid overlap
with the 31P NMR signal arising from the DSPC phosphorus.
(B) 31P NMR spectrum of phosphothioate siRNA encapsulated
at a siRNA/lipid ratio of 0.06 (w/w) in LNP containing DLinKC2-DMA/DSPC/Chol/PEG-lipid
(40/11.5/47.5/1; mol/mol). (C) 31P NMR signal arising from
the same sample as (B) after the addition of 1% SDS to solubilize
the particle. The spectra depicted were obtained from 15 000
transients as described in the Experimental Section.
Encapsulated siRNA is
immobilized on the NMR time scale. (A) 31P signal from
free (phosphothioate) siRNA. Note that phosphothioate
siRNA, which gives rise to a 31P NMR resonance ∼56
ppm downfield of the phosphodiester peak, was used to avoid overlap
with the 31P NMR signal arising from the DSPCphosphorus.
(B) 31P NMR spectrum of phosphothioate siRNA encapsulated
at a siRNA/lipid ratio of 0.06 (w/w) in LNP containing DLinKC2-DMA/DSPC/Chol/PEG-lipid
(40/11.5/47.5/1; mol/mol). (C) 31P NMR signal arising from
the same sample as (B) after the addition of 1% SDS to solubilize
the particle. The spectra depicted were obtained from 15 000
transients as described in the Experimental Section.
Encapsulated siRNA Is Fully Protected from
Degradation by External RNase A
siRNA sequestered in the
LNP core should be fully protected from degradation by externally
added RNase. LNP siRNA systems with the lipid composition DLinKC2-DMA/DSPC/Chol/PEG-c-DMA
(40/11.5/47.5/1, mol %) were incubated with bovinepancreatic RNase
A to determine the protection of encapsulated siRNA. As shown in Figure 4, gel electrophoresis indicates that free siRNA
is degraded, while the siRNA encapsulated in the LNP particles formulated
by the microfluidic method is completely protected. Addition of the
detergent Triton X-100 dissolves the LNP, releases the siRNA, and
results in siRNA degradation in the presence of RNase.
Figure 4
siRNA encapsulated in
LNP is fully protected from external RNase.
siRNA was either employed in the free form or encapsulated in LNP
containing DLinKC2-DMA/DSPC/Chol/PEG-lipid (40/11.5/47.5/1; mol/mol)
at an siRNA/lipid ratio of 0.06 (w/w). Encapsulation was performed
using the microfluidic mixer as indicated in the Experimental Section. The integrity of the siRNA was challenged
with 1 μg/mL bovine pancreatic RNase A. 5% Triton X-100 was
added to solubilize the LNP. Gel electrophoresis was performed on
20% native polyacrylamide gel and siRNA visualized by staining with
SYBR-Safe.
siRNA encapsulated in
LNP is fully protected from external RNase.
siRNA was either employed in the free form or encapsulated in LNP
containing DLinKC2-DMA/DSPC/Chol/PEG-lipid (40/11.5/47.5/1; mol/mol)
at an siRNA/lipid ratio of 0.06 (w/w). Encapsulation was performed
using the microfluidic mixer as indicated in the Experimental Section. The integrity of the siRNA was challenged
with 1 μg/mL bovinepancreaticRNase A. 5% Triton X-100 was
added to solubilize the LNP. Gel electrophoresis was performed on
20% native polyacrylamide gel and siRNA visualized by staining with
SYBR-Safe.
Encapsulated siRNA Is Complexed with Internalized
Cationic Lipid
As indicated above, the electron dense core
of the LNP siRNA systems may be suggested to consist of encapsulated
siRNA complexed to cationic lipid and the remaining lipid (cationic
lipid, phospholipid, cholesterol and PEG-lipid) is either present
in the core in inverted micellar or related nanostructures, or is
resident on the LNP exterior. It would then be expected that at high
siRNA contents corresponding to siRNA-to-cationic lipid charge ratios
of 1, where all the cationic lipid is complexed with internalized
siRNA, little or no cationic lipid would be present on the external
monolayer. In order to test whether this is the case , a fluorescence
resonance energy transfer (FRET) assay for exterior cationic lipid
was developed. This assay, which is essentially a membrane fusion
assay, utilized negatively charged bilayer lipid vesicles composed
of dioleoylphosphatidylserine (DOPS) that contained the FRET pair,
NBD-PE and Rh-PE at 1 mol % each. LNP siRNA systems consisting of
DLinKC2-DMA/DSPC/Chol/PEG-lipid (40/11.5/47.5/1 mol %) were added
to the DOPS vesicles and incubated at pH 5.5. The pKa of DLinKC2-DMA is 6.7[2] and
thus more than 90% of the DLinKC2-DMA on the outside of the LNP will
be charged at pH 5.5, potentially promoting fusion with negatively
charged DOPSLNP. As indicated elsewhere[9,10] fusion is
observed as an increase in the NBD-PE fluorescence at 535 nm as the
NBD-PE and Rh-PE probes become diluted following lipid mixing.As shown in Figure 5, when the LNP systems
contained no siRNA, substantial fusion was observed, consistent with
a considerable proportion of the DLinKC2-DMAresiding on the outer
monolayer of the LNP system. When the LNP systems contained siRNA
at a siRNA-to-totallipid ratio of 0.06 (w/w), which corresponds to
an siRNA-to-cationic charge ratio of 0.25, however, the extent of
fusion was reduced (Figure 5), and for LNP
siRNA systems prepared with an siRNA-to-cationic lipid charge ratio
of one little or no fusion was observed, indicating that little or
no DLinKC2-DMAwas present on the LNP siRNA exterior. This supports
the hypothesis that in LNP with high siRNA content all the cationic
lipid is complexed with siRNA and sequestered in the LNP interior.
Figure 5
Cationic
lipid is associated with internalized siRNA in LNP siRNA
systems. The amount of external cationic lipid in LNP siRNA systems
was assayed as a function of the siRNA phosphate-to-cationic lipid
charge ratio using the FRET lipid mixing assay described in the Experimental Section. Three LNP systems DLinKC2-DMA/DSPC/Chol/PEG-lipid
(40/11.5/47.5/1; mol/mol) were prepared at charge ratios of 0 (solid
line), 0.25 (dotted line), and 1 (dash line). The lipid mixing assay
was performed at pH 5.5 to ensure that essentially all external DLinKC2-DMA
was positively charged. The reaction was initiated by injecting the
LNP (at t = 30 s) into a stirred cuvette containing
the anionic DOPS/NBD-PE/Rh-PE (98:1:1 molar ratio) vesicles.
Cationic
lipid is associated with internalized siRNA in LNP siRNA
systems. The amount of external cationic lipid in LNP siRNA systems
was assayed as a function of the siRNA phosphate-to-cationic lipid
charge ratio using the FRET lipid mixing assay described in the Experimental Section. Three LNP systems DLinKC2-DMA/DSPC/Chol/PEG-lipid
(40/11.5/47.5/1; mol/mol) were prepared at charge ratios of 0 (solid
line), 0.25 (dotted line), and 1 (dash line). The lipid mixing assay
was performed at pH 5.5 to ensure that essentially all externalDLinKC2-DMA
was positively charged. The reaction was initiated by injecting the
LNP (at t = 30 s) into a stirred cuvette containing
the anionic DOPS/NBD-PE/Rh-PE (98:1:1 molar ratio) vesicles.A remaining question concerns why the maximal dequenching
for the
unloaded sample plateaus at approximately 25%. It is logical to suppose
that the DOPS vesicles fuse with positively charged LNP to the point
that all available cationic lipid is complexed with DOPS, after which
there is no electrostatic attraction driving LNP-DOPS vesicle fusion
and therefore no further dilution of the FRET pairs. The above experiments
were performed using 200 μmol LNP (80 μmol cationic lipid)
and 100 μmol DOPS vesicles, indicating that when all possible
fusion has occurred, approximately 20% of the DOPS vesicles would
remain intact and the FRET pairs in the remaining 80% of the DOPS
vesicles would experience a dilution of approximately 3.5-fold. This
may be insufficient to produce maximum dequenching. In order to test
this hypothesis, the concentration of FRET pairs in the DOPS vesicles
was lowered to maximize dequenching effects. As shown in Supporting Information Figure 2, the maximal
dequenching then increased to approximately 80% on fusion with unloaded
LNP, consistent with hypothesis.
LNP siRNA Systems Have a Different Density
than Aqueous Core Bilayer Vesicles
If the LNP siRNA systems
exhibit a lipid core, they would be expected to exhibit a different
density as compared to vesicles with an aqueous core. In the absence
of siRNA where the interior consists of inverted micelles of cationic
lipid the density should be less than vesicular systems, and the density
should increase as more siRNA is encapsulated. As shown in Figure 6, when empty LNPs without siRNA and LNPs containing
siRNA at 0.06 siRNA-to-totallipid ratio are centrifuged on a 1–15%
sucrose step gradient as described under in the Experimental
Section, the LNPs remained on the top of the gradient (Figure 6). In a parallel experiment, POPC/cholesterol (1:1;
mol/mol) bilayer vesicles were centrifuged on an identical gradient
and the vesicles distributed as a broad peak centered at around fraction
7 of the gradient. Increasing siRNA content in the LNP results in
an increase in density, as LNPs containing siRNA at a 0.24 siRNA-to-totallipid ratio (corresponding to a 1:1 siRNA/cationic lipid charge ratio)
were much denser, exhibiting a peak centered at fraction 15 of the
column. In an additional experiment (data not shown) empty LNPs and
LNP containing siRNA at 0.06 siRNA-to-lipid ratio were introduced
first, at the bottom of the centrifuge tube, and a 1–10% sucrose
step gradient layered on top. After centrifugation, the LNP were found
to have redistributed to the top of the gradient. These results provide
strong evidence that LNP siRNA systems contain a lipid core with a
density dependent on the amount of siRNA encapsulated.
Figure 6
The density of LNP siRNA
systems is consistent with a hydrophobic
lipid core as indicated by density gradient ultracentrifugation. A
1–15% sucrose step gradient was used as described in the Experimental Section. Fractions (500 μL) were
successively removed from the top of gradient following centrifugation
at 190 000g for 18 h and were assayed for
cholesterol in POPC/cholesterol bilayer vesicles (open circles), empty
LNP system (filled squares), LNP siRNA systems at a siRNA/cationic
lipid charge ratios of 0.25 and 1 (filled triangles and filled diamonds,
respectively).
The density of LNP siRNA
systems is consistent with a hydrophobic
lipid core as indicated by density gradient ultracentrifugation. A
1–15% sucrose step gradient was used as described in the Experimental Section. Fractions (500 μL) were
successively removed from the top of gradient following centrifugation
at 190 000g for 18 h and were assayed for
cholesterol in POPC/cholesterol bilayer vesicles (open circles), empty
LNP system (filled squares), LNP siRNA systems at a siRNA/cationic
lipid charge ratios of 0.25 and 1 (filled triangles and filled diamonds,
respectively).
Simulation Results Indicate that LNP siRNA
Systems Exhibit a Nanostructured Core
The first step in computer
modeling was to simulate the self-assembly of a putative unit cell
for a lipid nanoparticle. To this end, a mixture of DLinKC2-DMA, distearoylphosphatidylcholine
(DSPC), cholesterol, and nucleic acids was placed in a small box in
a random configuration (Figure 7a). The self-assembly was performed in several independent
simulations at different hydration levels to explore possible structures
formed in the mixture. We also simulated self-assembly of a medium-sized
system containing a polymer-grafted lipid in addition to other components.
Comparing resulting structures, we found that a small system at low
hydration (Figure 7b) was similar to the core
of the self-assembled medium sized system and selected it as a building
block for a larger LNP. The large LNP was constructed by multiplying
the building block, coating the resulting structure with a PEG-lipid
layer, and resolvating the system; see the Experimental
Section. Small spacing between the unit cells and between the
polymer layer and the nanoparticle was allowed to adjust the water
contents upon equilibration of the LNP.Self-assembly from a
random configuration (a) into a building block
(b) for a lipid nanoparticle (LNP). A mixture of DLinKC2-DMA, DSPC and cholesterol (576 DLinKC2-DMAlipids, 144 DSPClipids and
576 cholesterol molecules; 44/11/44; mol/mol) is placed in a small
simulation box at a low hydration level; see text. DLinKC2-DMAis shown
in yellow, cholesterol in pink, DSPC in gray, lipid polar moiety in
cyan, and nucleic acids (12 bp duplex DNA) in red; water not shown
for clarity.During the equilibration (∼1 μs),
the water compartments
closed and the PEG-grafted lipids adsorbed on its surface with polymer
chains oriented toward the solution. On the simulation time, the LNP
gradually transformed into a smooth rounded capsule with an averaged
diameter of ca. 44 nm (see Figure 8a). The
outer layer of the LNP is constituted by a roughly homogeneous coating
of PEG-lipids. Inside the LNP, irregular water filled compartments
of diameters ranging from ca. 3 to 9 nm are separated by bilayer membranes
with DNAs bound to the membrane surface (see Figure 8b–d). The structure of the LNP core resembles an inverted
hexagonal phase (HII) distorted at a high hydration level.[29] The volume of water trapped inside the LNP constitutes
ca. 6 waters/lipid which corresponds to 0.10 μL/μmol lipid,
in good agreement with experimental data (data not shown). Given the
significant fraction of lipids on the LNP surface (∼1/4), we
expect this number to be slightly higher for a larger size LNP.
Figure 8
A lipid nanoparticle
(LNP) contains irregular water-filled cavities
separated by bilayer membranes, with nucleic acids bound to membrane
surfaces: side (a), cross-section (b,c), and zoom-in (d) views. Cationic
lipid DLinKC2-DMAis shown in yellow, cholesterol in pink, DSPC in
gray, lipid polar moiety in cyan, PEG-lipid in violet, and nucleic
acids (duplex DNA) in red; water not shown for clarity. The lipid
composition was DLinKC2-DMA/DSPC/cholesterol/PEG-lipid (4:1:4:1; mol/mol)
and DNA to lipid ratio ∼0.05 wt/wt.
A lipid nanoparticle
(LNP) contains irregular water-filled cavities
separated by bilayer membranes, with nucleic acids bound to membrane
surfaces: side (a), cross-section (b,c), and zoom-in (d) views. Cationic
lipidDLinKC2-DMAis shown in yellow, cholesterol in pink, DSPC in
gray, lipid polar moiety in cyan, PEG-lipid in violet, and nucleic
acids (duplex DNA) in red; water not shown for clarity. The lipid
composition was DLinKC2-DMA/DSPC/cholesterol/PEG-lipid (4:1:4:1; mol/mol)
and DNA to lipid ratio ∼0.05 wt/wt.In the LNP core, the numbers of nearest neighbors
in the first
coordination shell are given in Table 1. There
are strong preferential interactions between the DNA phosphates and
positively charged groups of DLinKC2-DMAlipids. Increased numbers
of DLinKC2-DMA- DSPC neighbors originate from favorable interactions
of the positively charged group of the cationic lipid with the negatively
charged phosphate groups of DSPC. These interactions lead to formation
of molecular pairs which manifest in the radial distribution function
(RDF) as a pronounced second peak at a distance of ∼1 nm (data
not shown).
Table 1
Simulation Results: Numbers of Nearest
Neighbors in the First Coordination Shell for Each Molecule in the
LNP Corea
no.
of neighbors for molecule
DLinKC2-DMA
cholesterol
DSPC
DNA phosphates
DLinKC2-DMA
0.76 (0.78)
0.57 (0.78)
0.43 (0.2)
0.84
cholesterol
0.58 (0.51)
0.43 (0.51)
0.14 (0.13)
0.14
DSPC
1.70 (1.10)
0.51 (1.10)
0.27 (0.28)
0.24
DNA (phosphate)
2.59 (1.43)
0.43 (1.43)
0.19 (0.36)
Estimated numbers in the absence
of preferential interactions are shown in brackets. Neighbors for
DNA are averaged over the entire LNP. The numbers are calculated for
DNA phosphates, positively charged moiety of DLinKC2-DMA, the cholesterol
polar group, and the DSPC phosphate group (or choline group in the
case of DNA neighbors) by integrating the RDFs over the first maximum.
Estimated numbers in the absence
of preferential interactions are shown in brackets. Neighbors for
DNA are averaged over the entire LNP. The numbers are calculated for
DNA phosphates, positively charged moiety of DLinKC2-DMA, the cholesterol
polar group, and the DSPC phosphate group (or choline group in the
case of DNA neighbors) by integrating the RDFs over the first maximum.Spatial density distributions for selected groups
are shown in
Figure 9. The densities of headgroups are higher
in the LNP core (Figure 9a) than on the LNP
surface (Figure 9b). This is expected from
a high negative curvature of the water-filled compartments inside
the LNP, and the presence of polymer-grafted lipids on the surface.
The distribution of DLinKC2-DMAaround DSPClipids is shifted towards
the DNA phosphates, and cholesterol is distributed somewhat away from
DLinKC2-DMA(Figure 9a). Due to a high cationic
lipid to DNA ratio, not all cationic lipids in the LNP core are bound
to DNA. These free (Figure 9c) and bound (Figure 9d) cationic lipid fractions have a noticeably different
3D neighborhood. A somewhat heterogeneous surrounding of DSPC and
cholesterolaligned along the linker of the free lipid becomes for
the bound lipid displaced away and to the side by DNA phosphates.
Figure 9
Spatial
density distributions for selected molecular groups around
DSPC in the LNP core (a) and on the LNP surface (b), and DLinKC2-DMAin
the LNP core free (c) and bound to DNA (d). The surfaces of constant
number densities are plotted at the values corresponding approximately
to the average density in the first coordination shell. In the molecular
representations, DSPC headgroup is shown as dark gray, glycerol-ester
region as light gray, and hydrocarbon chains as transparent gray beads;
DLinKC2-DMAheadgroup is shown as yellow, linker as light yellow, and
chains as transparent yellow beads. In the density distributions,
DNA phosphates are colored in semitransparent red, DLinKC2-DMAheadgroup
in cyan and linker in yellow, cholesterol polar group in pink, DSPC
headgroup in dark gray, and glycerol-ester in light gray.
Spatial
density distributions for selected molecular groups around
DSPC in the LNP core (a) and on the LNP surface (b), and DLinKC2-DMAin
the LNP core free (c) and bound to DNA (d). The surfaces of constant
number densities are plotted at the values corresponding approximately
to the average density in the first coordination shell. In the molecular
representations, DSPC headgroup is shown as dark gray, glycerol-ester
region as light gray, and hydrocarbon chains as transparent gray beads;
DLinKC2-DMAheadgroup is shown as yellow, linker as light yellow, and
chains as transparent yellow beads. In the density distributions,
DNA phosphates are colored in semitransparent red, DLinKC2-DMAheadgroup
in cyan and linker in yellow, cholesterol polar group in pink, DSPC
headgroup in dark gray, and glycerol-ester in light gray.
Both Molecular Simulation and Experiment Support
a Nanostructured Core for LNP siRNA Systems
The model for
LNP siRNA structure developed by molecular simulation (Figure 8) is fully consistent with the experimental results
presented here. The model shows that encapsulated siRNA is located
in internalized distorted inverted micelles complexed to cationic
lipid, with remaining lipids organized around small internal aqueous
compartments. Such organization could account for the increased electron
density as compared to bilayer vesicle systems as evidenced by cryo-TEM
studies. This organization is also consistent with the ability of
particles composed of DLinKC2-DMA and PEG-lipid to adopt structures
as small as 14 nm diameter in the absence of siRNA and 23 nm diameter
in the presence of siRNA, as well as the lack of external cationic
lipid in LNP siRNA systems prepared at high siRNA-to-cationic lipid
charge ratios and the essentially complete protection of encapsulated
siRNA from external RNase.The modeling results provide interesting
insight into the location and role of DSPC. Previously DSPC has been
included to provide increased stability to the preformed vesicles
used in the preformed vesicle formulation method[30] and has been thought to play a stabilizing role in the
LNP structure formed. The results presented here suggest that DSPC
could also be forming ion pairs between the DSPC phosphate group and
cationic lipid headgroup, leaving the DSPCcholine function to associate
with siRNA phosphates. Such interactions have been suggested by other
investigators.[13] A final point is that,
as suggested by the molecular modeling results, it is likely that
cholesterol is distributed roughly homogeneously in the LNP core and
surface, given its ability to partition into both lamellar and inverted
lipid structures such as the hexagonal HII phase.[31]A major advantage of the model presented
in Figure 8 is that it can explain how siRNA
encapsulation efficiencies
approaching 100% can be achieved during the formulation process. Specifically,
during the microfluidic synthesis process, the following steps are
achieved: first, rapid mixing between the aqueous phase containing
siRNA and the ethanol phase containing cationic lipid, second the
association of cationic lipid with siRNA to form hydrophobic nucleating
structures, and third, as the polarity of the medium increases further,
coating of the nucleating structures by remaining lipids as they reach
their solubility limits in the ethanol/water system, forming the finalLNP siRNA structure. In this picture, it is clear how essentially
all of the siRNA could be incorporated into LNP systems at nonsaturating
siRNA loading, leading to complete encapsulation.There are,
however, other structures that could be compatible with
high encapsulation efficiencies. In previous work,[26,30] we have encapsulated antisense oligonucleotides into LNP systems
containing ionizable cationic lipids with encapsulation efficiencies
of up to 70% using the PFV method. The LNP formed are small multilamellar
vesicles where the oligonucleotide is apparently located at the lamellar
interfaces. These systems contained higher levels of the bilayer forming
lipidDSPC and lower levels of cationic lipid than employed here.
In order to show that the systems we observe here are part of a continuum
of structures that are sensitive to the proportions (and types) of
lipid components, we examined the cryo-TEM morphology of an LNP siRNA
system containing a larger proportion of DSPC and a lower proportion
of cationic lipid (DLinKC2-DMA/DSPC/Chol/PEG-lipid in the proportions
20/31.5/47.5/1; mol/mol, as opposed to 40/11.5/47.5/1; mol/mol). This
system also exhibited high encapsulation efficiencies above 90% but
also showed evidence of multilamellar structure, as shown in Supporting Information Figure 3. It would therefore
appear that the internal structure of LNP siRNA systems changes from
multilamellar to inverted micellar as the proportion of bilayer-forming
species is reduced, as may be expected based on polymorphic phase
preferences of component lipids.It is likely that the results
presented here for LNP siRNA systems
produced by microfluidic mixing will also extend to LNP siRNA systems
composed of the same or similar lipids but prepared by other in-line
mixing protocols such as the T-tube mixer, as long as the mixing rates
are sufficiently fast. In this regard, it may be noted that LNP siRNA
systems containing ionizable cationic lipids prepared by T-tube mixing
show the distinctive electron-dense core by cryo-TEM.[4]
Conclusions
In summary, the results
presented in this work demonstrate a new
type of lipid nanoparticle with a structured core formed by the rapid
mixing of cationic lipid-containing ethanol solutions with aqueous
solutions of siRNA oligonucleotides. Such structures are consistent
with the electron dense core observed by cryo-TEM and the efficient
loading characteristics associated with these particles. This work
also provides, for the first time, an understanding of the mechanism
of formation of LNP siRNA formulations formed by mixing cationic lipids
in ethanol with siRNA in aqueous solution. It is anticipated that
this understanding will lead to the design of more sophisticated LNP
structures.
Authors: Abraham D Stroock; Stephan K W Dertinger; Armand Ajdari; Igor Mezic; Howard A Stone; George M Whitesides Journal: Science Date: 2002-01-25 Impact factor: 47.728
Authors: N Maurer; K F Wong; H Stark; L Louie; D McIntosh; T Wong; P Scherrer; S C Semple; P R Cullis Journal: Biophys J Date: 2001-05 Impact factor: 4.033
Authors: Igor V Zhigaltsev; Norbert Maurer; Katarina Edwards; Göran Karlsson; Pieter R Cullis Journal: J Control Release Date: 2005-11-28 Impact factor: 9.776
Authors: Nathan M Belliveau; Jens Huft; Paulo Jc Lin; Sam Chen; Alex Kk Leung; Timothy J Leaver; Andre W Wild; Justin B Lee; Robert J Taylor; Ying K Tam; Carl L Hansen; Pieter R Cullis Journal: Mol Ther Nucleic Acids Date: 2012-08-14 Impact factor: 10.183
Authors: Ramsey N Majzoub; Kai K Ewert; Erica L Jacovetty; Bridget Carragher; Clinton S Potter; Youli Li; Cyrus R Safinya Journal: Langmuir Date: 2015-06-17 Impact factor: 3.882
Authors: Kejin Zhou; Liem H Nguyen; Jason B Miller; Yunfeng Yan; Petra Kos; Hu Xiong; Lin Li; Jing Hao; Jonathan T Minnig; Hao Zhu; Daniel J Siegwart Journal: Proc Natl Acad Sci U S A Date: 2016-01-04 Impact factor: 11.205