Multivalent conjugation of folic acid has been employed to target cells overexpressing folate receptors. Such polymer conjugates have been previously demonstrated to have high avidity to folate binding protein. However, the lack of a monovalent folic acid-polymer material has prevented a full binding analysis of these conjugates, as multivalent binding mechanisms and polymer-mass mechanisms are convoluted in samples with broad distributions of folic acid-to-dendrimer ratios. In this work, the synthesis of a monovalent folic acid-dendrimer conjugate allowed the elucidation of the mechanism for increased binding between the folic acid-polymer conjugate and a folate binding protein surface. The increased avidity is due to a folate-keyed interaction between the dendrimer and protein surfaces that fits into the general framework of slow-onset, tight-binding mechanisms of ligand/protein interactions.
Multivalent conjugation of folic acid has been employed to target cells overexpressing folate receptors. Such polymer conjugates have been previously demonstrated to have high avidity to folate binding protein. However, the lack of a monovalent folic acid-polymer material has prevented a full binding analysis of these conjugates, as multivalent binding mechanisms and polymer-mass mechanisms are convoluted in samples with broad distributions of folic acid-to-dendrimer ratios. In this work, the synthesis of a monovalent folic acid-dendrimer conjugate allowed the elucidation of the mechanism for increased binding between the folic acid-polymer conjugate and a folate binding protein surface. The increased avidity is due to a folate-keyed interaction between the dendrimer and protein surfaces that fits into the general framework of slow-onset, tight-binding mechanisms of ligand/protein interactions.
Folic acid (FA) targeting
has been extensively studied for improving
the therapeutic index of drugs.[1−6] Although the molecular-level structure of this interaction has only
recently been fully elucidated,[7] substantial
progress has still been made over the past 20 years in FA targeting,
with seven drug conjugates advancing to clinical trials. Targeting
of a drug or drug conjugate exploits the interaction of this vitamin
with a high affinity (Kd ∼ 0.1
nM)[2] folic acid receptor (FAR), which is
overexpressed in many cancer cells. This receptor is also found in
healthy epithelial cells; however, these are generally inaccessible
to FA bearing conjugates in the blood,[2] enabling this system to exploit cytotoxic effects of drugs while
minimizing collateral damage in healthy tissues. In addition to cell
surface targeting, FA conjugation provides a selective uptake pathway
for the conjugated drug via folate receptor mediated endocytosis and
release of the FA/conjugate from the receptor and endosome.[8,9] Many targeted small molecule delivery designs take advantage of
this highly specific interaction including examples such as doxorubicin,[10] methotrexate,[11] protein
toxins,[12] imaging agents,[13,14] and immunotherapeutics[15] both in vitro and in vivo by exploiting carrier
mechanisms including liposomes,[16] inorganic
nanoparticles,[13] and organic polymers.[17−19]Multivalent conjugates of ligands to nanomaterials are often
employed
purposefully to increase the avidity and/or specificity of an interaction
or accidentally as a result of stochastic synthetic approaches. The
enthalpic and entropic mechanisms through which multivalency increases
the interaction of a ligand and its target have been extensively studied
from a theoretical viewpoint.[20−24] Briefly, there are two main multivalent effects that may contribute
to the system studied here; those dependent on the increased effective
(or local) concentration, and those due to multiple binding events
occurring for a single conjugate.[25] Higher
local concentrations can result in higher affinities, and an increased
chance of rebinding upon dissociation of the initial interaction (“statistical
rebinding”) or secondary binding events.[26,27] Multivalent classifications have been discussed and reviewed elsewhere
by Kiessling,[28,29] Whitesides,[25] and Cloninger.[26]Although
multivalent conjugates of many dyes, drugs, and targeting
ligands (including FA) have been developed, the actual impact of the
specific number of ligands on improvements in avidity and/or biological
activity has been difficult to analyze due to the heterogeneous mixtures
generated by stochastic conjugation chemistries employed in their
synthesis.[30] For example, a stochastic
conjugation of 3 equiv of FA to a scaffold with multiple functionalizable
sites (≥30) results in a sample with a mean of ∼3 FAs
per scaffold, but also a distribution of unique conjugates with FA-to-scaffold
ratios ranging from 0 to ∼11 FA molecules per scaffold (Figure 1).
Figure 1
Distribution of conjugates resulting from a stochastic
conjugation
of 3 equiv of FA to 1 equiv of scaffold.
Distribution of conjugates resulting from a stochastic
conjugation
of 3 equiv of FA to 1 equiv of scaffold.Previous efforts to quantify multivalent binding constants
have
employed surface plasmon resonance (SPR) to measure increases in binding
between materials containing different average numbers of ligands
(folic acid[31] and methotrexate[32−34]) and folate binding protein (FBP) modified surfaces. The binding
constant of folic acid to FBP, Kd ∼
5–10 μM, is roughly 1000-fold weaker than observed for
folate receptor.[31,35] Although these studies have reported
a general trend of greater avidity with increased valency, the utilization
of materials containing a distribution of ligand-to-scaffold ratios
complicated understanding the mechanisms involved in multivalent binding,
or elucidation of the relative activity of the various components
in the sample. For example, does the entire population illustrated
in Figure 1 with two or more conjugated FAs
(80% of the population) enable equivalent receptor clustering in a
cell? Or does a higher valency, and consequently higher effective
concentration, such as 5–11 FAs per scaffold (18% of the population)
produce all of the observed activity?Poly(amidoamine) (PAMAM)
dendrimer is an extensively studied vector
for the multivalent, targeted delivery of drugs, genes, and imaging
agents.[36,37] The dendritic architecture has many advantages
for biomedical applications, including low polydispersity, internal
core space available for the entrapment of drugs, and multiple branches
providing terminal groups for functionalization.[38] PAMAMdendrimer is particularly suited for such applications
due to its protein-like architecture, low immunogenicity, ability
to solubilize hydrophobic small molecules, and easily functionalized
primary amine terminal surface groups.[39−41] The size of generation
5 (G5) PAMAM (5.4 nm diameter) is also ideal for vascular delivery
and excretion due to kidney filtration.[42] Recent advancements have enabled the isolation of monomeric G5 PAMAM
dendrimers from oligomeric (dimer, trimer, etc.) and trailing generation
defects (G1–G4), narrowing the experimentally realized size
distribution of this vector from 1–115 kDa (commercial material)
to 25–29 kDa.[43] Possible convolution
of results by large mass differences and vector-accessible surface
area is eliminated by removing both trailing generations and oligomers
from the G5 PAMAM monomer material.In 2007, Banaszak Holl et
al. employed SPR to measure the increased
avidity to FBP and cellular uptake of G5 PAMAM–FA conjugates
as a function of average number of attached FAs (Figure 2).[31] The dissociation constant
(kd) was observed to exponentially decrease
as the average valency of FA increased; however, this calculation
assumed that given a long enough experiment all bound materials would
dissociate from the surface and that the experimental sensorgram would
return to the level of signal present prior to G5–FA exposure. The nonlinear (exponential) behavior
in kd was attributed to a saturation of
FA–FBP binding events limited by the immobilized protein density
on the SPR flow cell surface and not to the valency of FA (Figure 2a). Interestingly, the same trend in signal saturation
as a function of FA valency was observed for mean fluorescence, as
measured by flow cytometry when equivalent conjugates labeled with
a dye were evaluated for binding to FAR upregulated KB cells. This
observation was interpreted as an indication that the dendrimer conjugates
do not trigger receptor clustering on the cell surface, which would
allow for higher affinities as more proteins became available.
Figure 2
Proposed models
for enhanced G5–FA binding to FBP. (a) Multivalent
binding increases avidity with increasing valency. (b) Any multivalent
binding (2 or more interactions) is irreversible, and monovalent binding
is reversible. (c) FA “keys” the initial interaction
between conjugate and FBP, which is followed by strong nonspecific
interaction between the dendrimer and protein. C represents G5–FA conjugate, P is FBP, CP a complex between
a conjugate and n ≥ 1 FBP. CP* is a tight
complex formed by a conformation change in the polymer and the resulting
polymer–protein interaction.
Proposed models
for enhanced G5–FA binding to FBP. (a) Multivalent
binding increases avidity with increasing valency. (b) Any multivalent
binding (2 or more interactions) is irreversible, and monovalent binding
is reversible. (c) FA “keys” the initial interaction
between conjugate and FBP, which is followed by strong nonspecific
interaction between the dendrimer and protein. C represents G5–FA conjugate, P is FBP, CP a complex between
a conjugate and n ≥ 1 FBP. CP* is a tight
complex formed by a conformation change in the polymer and the resulting
polymer–protein interaction.Subsequent analyses of this data, employing different assumptions,
resulted in two alternate mechanisms for explaining the changes in
binding as a function of average valency. In 2010, Waddell, Sander
et al. reanalyzed the original data set and proposed that the binding
of the conjugates occurs via two distinct interactions.[44] This mechanism acknowledges the broad distribution
of ligand-to-dendrimer ratios present in stochastically synthesized
materials, including dendrimers that have zero FA, one FA, or two
or more FAs. It was proposed that (1) monovalent interaction between
G5–FA1 and one FBP is attributable to binding that
is reversible on the time scale of the experiment and (2) multivalent
binding between G5–FA≥2 to two or more FBPs
is irreversible on the SPR experimental time scale (Figure 2b). Waddell, Sander, et al. hypothesized that the
increased avidity attributed to valency increase by Banaszak Holl
et al.[31] actually arises from decreased
amounts of zero-functional and monofunctional conjugates in the stochastic
average material. This mechanism still proposes that FA-based multivalent
binding is important. The original flow cytometry data can be similarly
interpreted; receptor clustering is achieved by bivalent conjugates,
and further increasing of valency has no measurable effect on the
cell. A very different mechanism based on kinetic limitations of cooperativity
was proposed by Licata and Tkachenko in 2008.[45] This study concludes that the increased avidity proposed for the
G5–FA conjugates[31] is higher than can be attributed to cumulative
effects of multivalent binding and that kinetic limitations actually
prevent the type of multivalent interactions proposed in Figures 2a and 2b. They propose that
the enhanced interaction observed by SPR is a result of van der Waals
interactions between the polymer vector and protein/chip surface that
are enabled by a single key–lock binding between FA and FBP
(Figure 2c).The broad distribution of
folic acid-to-dendrimer ratios present
in each sample, including both monovalent and multivalent conjugates
in the low average materials, prevented a clear experimental elucidation
between the three models depicted in Figure 2. In particular, a conjugate with a precise ratio of 1 FA per dendrimer
(G5–FA1) was lacking to determine if the observed
increase in avidity was a product of multivalent binding between the
conjugate and SPR surface (Banaszak Holl and Sander mechanisms)[31,44] or a single FA–FBP lock-and-key combined with van der Waals
polymer/surface interaction (Licata and Tkachenko mechanism).[45]In order to address these materials-based
challenges to understanding
multivalency, we have developed click chemistry and reverse-phase
high performance liquid chromatography (rp-HPLC) methods to isolate
dendrimers conjugated to precise numbers of ligands (i.e., G5-L, x = 0–4, where
“x” is not a mean value).[30,46,47] These methodologies, which have
been previously demonstrated to be successful for azide[30,46,48] and fluorinated, ring-strain-promoted
click ligands,[48] are now extended to a
second ring strain promoted ligand (cyclooct-1-yne-3-glycolic acid
(COG)), which has been used in previous G5–FA SPR studies.[33] In principle,
isolating the precise ratio samples G5–FA, x = 1, 2, 3, etc., would allow SPR experiments
where the multivalent binding effect is decoupled from the heterogeneity
of stochastic samples (G5–FA). The isolated G5-L were “clicked”
with a γ-azide-Lys-Asp-FA derivative (γ-azide-FA). The
resulting samples include a G5-PAMAMdendrimer with a FA-to-dendrimer
ratio of 0.96 that contains no detectable multivalent G5–FA≥2 species: the sample needed to differentiate the three
mechanistic hypotheses proposed to date. The remainder of the click
reactions did not proceed with 100% efficiency, but still yielded
samples that contained a well-defined high-n cutoff
and had a narrower-than-stochastic distribution of FA-to-dendrimer
ratios. The binding of these conjugates was analyzed by SPR on both
high and low FBP density surfaces. The results indicate that, at either
surface FBP density, total folic acid concentration is the dominant
factor leading to increased amounts of bound material with increased
valency. Only a small multivalent effect is observed for G5–FA≥2 material because of increased statistical rebinding
as compared to G5–FA1. Most importantly, the G5–FA1 sample exhibited the same irreversible binding to the FBP
surface, on the SPR time scale, as the G5–FA≥2 samples. This experimental result conclusively rules out the earlier
mechanistic hypotheses by Banaszak Holl et al.[31] and by Sander et al.[44] and provides
strong experimental support for the key–lock/van der Waals
mechanism proposed by Licata and Tkachenko.[45] This mechanism falls into the general class of slow-onset, tight
binding interactions[49,50] between ligand and protein albeit
with the novel feature of polymer adsorption onto the protein surface
to yield the final tight-binding interaction. Upon the initial binding
event of a single conjugated FA to the FBP, the FBP undergoes a conformational
change[51,52] which exposes a more hydrophilic surface,
enabling the irreversible van der Waals interaction with the polymer.
Experimental
Section
Materials
All chemicals and materials were purchased
from Sigma-Aldrich or Fischer Scientific and used as received unless
otherwise specified. G5 PAMAMdendrimer was purchased from Dendritech
and purified as previously reported to remove trailing generation
and G5 oligomer impurities.[43] Cyclooct-1-yne-3-glycolic
acid (COG) was synthesized from a modified literature preparation
(see Supporting Information).[53] Synthesis and characterization of γ-azide-Lys-Asp-folic
acid (γ-azide-FA) can be found in the Supporting
Information.
Preparation of G5-Ac-COG4.0(avg) Conjugates
Conjugates were prepared from G5 dendrimer and
COG via amide coupling.
In brief, amine-terminated G5 (202.6 mg) was dissolved to 0.16 μM
in DI water (45 mL). COG (4.9 mg) was activated by dissolving to 10.5
μM in acetonitrile (1.25 mL) with 2.65 equiv of 1-ethyl-3-(3-(dimethylamino)propyl)carbodiimide
(EDC) (14.0 mg) and 2.78 equiv of N-hydroxysuccinimide
(NHS) (9.1 mg) and stirring for 2 h. The activated COG was added dropwise
via syringe pump to the dendrimer solution and stirred overnight.
The product was purified using Amicon Ultra Centrifugal units, 10
kDa cutoff membranes, with 2 phosphate buffered saline (PBS) washes
and 4 deionized water (DI) washes. Product was isolated via lyophilization.
The material (126.4 mg) was then fully acetylated (converting 100%
of the remaining primary amines to acetyl groups, henceforth designated “Ac”)
by redissolving in anhydrous methanol (0.19 μM, 24 mL) and adding
450 equiv of triethylamine (305 μL) and 360 equiv of acetic
anhydride (166 μL), stirring for 4 h, purified by centrifugation,
and isolated by lyophilization. G5-Ac-COG4.0(avg) (96.4
mg) was characterized by rp-UPLC.
Isolation of Precisely
Defined G5-Ac-COG Conjugates
Dendrimers with precise ratios of COG
ligands per dendrimer were isolated via rp-HPLC according to literature
procedures.[48] Briefly, three 910 μL
injections at a 32 mg/mL concentration of the averaged material were
performed with a C18 column on a water/acetonitrile gradient with
0.1% TFA. Fractions were collected as the material eluted and combined
to obtain samples with precisely x = 0–4 COG
ligands per dendrimer. Products were purified using PD-10 desalting
protocols, with DI as the equilibration buffer and samples dissolved
in 10× PBS, then lyophilized to dry. Samples were characterized
by rp-UPLC and 1H NMR spectroscopy. Curve fitting of chromatograms
by Igor Pro was performed to assess purity of precise ratio materials
and to determine the average number of COG ligands of stochastic materials
(Table S1 in the Supporting Information).
Synthesis of G5-Ac-FA Conjugates
Dendrimers with well-characterized numbers of covalently bound
folic acids were synthesized via click reaction of G5-Ac-COG conjugates and γ-azide-FA. Briefly, 10 equiv
of a stock γ-azide-FA solution (77 mM in DMSO) was added to
dendrimer conjugates. The resulting mixtures were then brought to
a final dendrimer concentration of approximately 310 μM to fully
dissolve the dendrimer conjugates (see Table S2 in the Supporting Information for exact amounts used in each reaction).
Solutions were agitated for 48 h, then diluted to 2.5 mL with DI,
and purified using PD-10 desalting columns, gravity protocols, followed
by 16 rounds of dialysis against DI. The samples were then further
purified by repeating the PD-10 desalting column using 10× PBS
to dilute the sample, followed by 2 rounds of dialysis against 1×
PBS and 4 rounds against DI. Recovered samples were characterized
by 1H NMR spectroscopy and rp-UPLC. Curve fitting of chromatograms
provided yield, purity, and FA average and distribution species for
G5–FA materials.
Methods
High
Performance Liquid Chromatography
Isolation of
G5-Ac-COG was achieved with previously
published protocols.[48]
LC Peak Fitting
Chromatograms were fit with Gaussian
peaks using Igor Pro Version 6.0.3.1 software. Peak widths from chromatogram
to chromatogram were kept constant.
Nuclear Magnetic Resonance
Spectroscopy
NMR spectroscopy
experiments were performed on a Varian MR400 instrument. 1H NMR spectra were obtained used 10 s preacquisition delays and a
total of 64 scans. All sample solutions were set to a dendrimer concentration
of 1–5 mg/mL in deuterium oxide.
Surface Plasmon Resonance
Spectroscopy
CM5 sensor chips
were purchased for use in SPR experiments from GE Healthcare Life
Sciences. SPR experiments were conducted in a Biacore X instrument
(Pharmacia Biosensor AB). Two immobilized folate binding protein (FBP)
chips were prepared following the suggested protocols: a solution
of 0.2 M EDC and 0.05 M NHS was used as an activating solution, an
immobilization solution of FBP at 1 mg/mL for the “low density”
chip and 1.5 mg/mL for the “high density” chip, with
ethanolamine as the deactivation solution. The surface density of
FBP was approximately 10 and 20 ng/mm2 for the low and
high density chips, respectively. Flow cell two was employed as a
control cell by activating and deactivating the surface without the
addition of protein. The chips were characterized using free FA solutions
and checked for nonspecific binding with a control of G5-Ac containing
no COG or FA. Immobilization and free FA chromatograms can be found
in the Supporting Information. The “high
density” chip contains roughly double the amount of immobilized
FBP according to total change in response units. Conjugate samples
were dissolved in fresh HBS-EP buffer at 100 μM and serially
diluted to 20, 10, 5, 2.5, and 1.25 μM in HBS-EP buffer from
Fischer Scientific. Runs were multichannel, FC1-FC2, at 10 μL/min.
The system was allowed to equilibrate at the beginning of each run
for no less than 300 s, followed by a 2 min, 30 μL (50–5–5–5
bubble method) injection. The system was monitored for no less than
500 s postinjection. Between each run, the chip was washed with a
5 μL injection of pH 1.5 buffer to remove bound materials followed
by an instrument prime step. The sensograms represent a subtraction
of FC2 (no protein) from FC1 (protein immobilized).
Results
Preparation
of G5-Ac-COG4.0(avg) Conjugates (Figure 3a)
96.4 mg of G5-Ac-COG conjugate was prepared
with an average of 4.0 COGs per dendrimer as calculated by rp-UPLC
peak fitting (overall yield 41%). All samples were characterized by 1H NMR spectroscopy (Figure S1 in the Supporting
Information) and rp-UPLC.(a) Synthesis of PAMAM-COG conjugate.
(b) Semiprep rp-HPLC isolation
of PAMAM with 1, 2, 3, 4, or 5 COGs. (c) Isolated samples elute from
rp-UPLC as a function of ligand-to-dendrimer ratio. (d) Scheme of
G5-COG click reaction of γ-azide-FA.
Isolation of G5-Ac-COG Conjugates
with Precise COG-to-Dendrimer Ratios (Figure 3b,c)
Dendrimer samples with x = 0–4
were isolated in quantities ranging from 3 to 8 mg. All samples were
characterized by 1H NMR spectroscopy (Figure S2 in the Supporting Information) and rp-UPLC (Table S1 in
the Supporting Information).
Synthesis of
G5-Ac-FA Conjugates
(Figure 3d)
One equivalent of G5-Ac-COG and 10x (x = 1–4) equivalents of γ-azide-FA were dissolved to
give a dendrimer concentration of 310 μM in DMSO. Reaction mixtures
were shaken for 48 h with occasional vortexing. Samples were then
desalted according to the manufacturer’s gravity protocol with
PD-10 desalting columns (equilibration buffer as DI, sample dissolved
in 10× PBS), and then dialyzed against DI using 10 000
Da cutoff membranes (16 media changes). Large amounts of unreacted
γ-azide-FA remained after initial purification as detected by
rp-UPLC. Two additional rounds of dialysis against 1× PBS buffer
followed by 4 rounds against DI removed unreacted γ-azide-FA
as assessed by rp-UPLC. Samples were characterized by rp-UPLC (Figure
S3 in the Supporting Information) and 1H NMR spectroscopy (Figure S4 in the Supporting
Information). The n = 1 click reaction had
an efficiency of 96%, while all other efficiencies ranged from 54
to 64% with mass recoveries over 95%. A detailed analysis of each
sample’s fractional composition is summarized in Table S3 in
the Supporting Information. For these materials,
HPLC provides the most accurate method for determining conjugate dendrimer
ratios[54] (vide infra and Supporting Information) and % FA values are calculated
on the basis of HPLC data.
Surface Plasmon Resonance Spectroscopy
Sensorgrams
for G5-Ac-FA (n = 0,
1.0, 1.2, 1.9, 2.7) were collected for both the low (Figure 4) and high (Figure 5) density
chips. The unfunctionalized, neutral conjugate (n = 0) showed no specific binding at either chip density across all
concentrations tested. All G5–FA conjugates showed specific
binding to the FBP immobilized flow cell 1, which increased in a FA
concentration dependent manner. After injection completion, all FA
conjugated samples had a release profile. The association and dissociation
phases were fit with various models for evaluation of ka, kd, and Kd.
Figure 4
SPR sensograms of conjugates (n = 1.0,
red; n = 1.2, orange; n = 1.9, green; n = 2.7, blue) and controls (n = 0, gray;
free FA, purple) on lower density chip. The color gradient represents
concentration from low (light) to high (dark). Free FA samples were
run at millimolar as opposed to micromolar concentrations to obtain
adequate signal.
Figure 5
SPR sensograms of conjugates
(n = 1.0, red; n = 1.2, orange; n = 1.9, green; n = 2.7, blue) and controls
(n = 0, gray;
free FA, purple) on higher density chip. The color gradient represents
concentration from low (light) to high (dark).
SPR sensograms of conjugates (n = 1.0,
red; n = 1.2, orange; n = 1.9, green; n = 2.7, blue) and controls (n = 0, gray;
free FA, purple) on lower density chip. The color gradient represents
concentration from low (light) to high (dark). Free FA samples were
run at millimolar as opposed to micromolar concentrations to obtain
adequate signal.SPR sensograms of conjugates
(n = 1.0, red; n = 1.2, orange; n = 1.9, green; n = 2.7, blue) and controls
(n = 0, gray;
free FA, purple) on higher density chip. The color gradient represents
concentration from low (light) to high (dark).
Discussion
rp-HPLC is an effective tool for isolating
dendrimers with precise
numbers of clickable ligands.[46,47] To date, four unique
click ligands have been employed using the same gradient, with functional
groups of azide,[47,48] alkyne,[46] a fluorinated ring strain promoted ligand,[48,54] and the cyclooctyne ligand presented here for the first time. This
robust methodology allows isolation of various species containing
single ligand/dendrimer ratios from heterogeneous, averaged samples
containing 10 or more species. Due to the flexible nature of the PAMAMdendrimer and transient interaction of the ligand with the hydrophobic
column, this technique has proven to be nonspecific to the relative
location of the multiple ligands conjugated to the same sample, i.e.,
all dendrimer conjugated to three ligands coelutes, simplifying the
separation process. Isolation of the G5-Ac-COG conjugates utilized in this paper reflect the success of prior
studies with other click ligands. All isolated samples of G5-Ac-COG had single species purities over 95%. In
the average sample, the most common species was dendrimer conjugated
to 2 COG ligands, and this portion comprised only 16% of the sample.
However, the isolated sample labeled G5-Ac-COG2 contained
only G5 conjugated to 2 ligands as measured by rp-UPLC, with no detectable
presence of dendrimer conjugated to 0, 1, 3, or other numbers of ligands.Here, we present the first application of the G5 PAMAM precise
ligand-to-dendrimer ratio materials to a multivalent targeting system.
FBP, employed as a model for the FAR overexpressed in various cancer
cell lines, and the interaction of this target with FA has been a
highly studied system for both cancer cell targeting of chemotherapeutics
and for the more basic understanding of multivalent nanoparticle interactions.
To understand how multivalency affects nanoparticle–ligand
conjugate behavior in biological systems, it is vital to compare monovalent
particles to those with 2 or more targeting ligands. However, stochastically
synthesized conjugates contain a distribution of ligands per particle,
making it difficult to distinguish the behaviors of the individual
populations. The controlled ligand/dendrimer ratio conjugates allowed
for the synthesis of functional G5–FA materials with well-defined subpopulations, including a conjugate
with a FA-to-dendrimer ratio of 1, with no higher valencies present.
These materials, when studied by SPR, allowed comparison of the binding
strength and potential for multivalent interaction of conjugates containing
no more than 1, 2, 3, or 4 FA ligands (Table S3 in the Supporting Information).Reaction of the COG conjugates
with precise ligand-to-dendrimer
ratios with complementary click functionalized FA allows for the generation
of dendrimers with well-defined numbers of covalently conjugated FAs
via orthogonal click chemistry between the ring-strained cyclooctyne
on the dendrimer and an azido group on the modified FA. The reaction
between G5-Ac-COG1 and γ-azide-FA yielded a product
that has 96% conjugate with a FA-to-dendrimer ratio of precisely 1
and 4% of a conjugate with no FA. Because the original sample had
no dendrimer conjugated to 2 or more COG ligands, the resulting product
has no material with the ability to undergo multivalent binding. This
fact allows us to test both the Licata and Tkachenko key–lock/van
der Waals interaction mechanism (Figure 2c),[45] which attributes the irreversible binding to
dendrimer–protein van der Waals interactions and not multivalent
FA binding, and the Sander mechanism[44] that
assumes that monovalent behavior will significantly differ from bivalent
and higher behavior. This critical piece of data would also have prevented
the (incorrect) assessment by Banaszak Holl et al. that avidity increase
is an exclusive function of conjugate valency.[31]The remaining click reactions with the higher COG
valent material
went to about 60% completion despite a 10-fold excess of the γ-azide-FA.
This result has been duplicated for G5–COG conjugates with this γ-azide-FA and other small molecules
(unpublished data) within the lab, where reaction times greater than
48 h were tested. Similar reaction conditions employed in the literature
between a G5-Ac-COG∼20(avg) conjugate and a γ-azide-modified
methotrexate yielded 100% reaction efficiency, however in this case
the limiting reagent was the small molecule.[53] This observation suggests that limiting the number of COG ligands
on the dendrimer may limit accessibility for click reaction, perhaps
via folding of hydrophobic ligands into the dendrimer core. The interior
cavity of G5 PAMAM is limited, therefore with a high number (i.e.,
20) of conjugated COG ligands, the dendrimer cannot internalize all
the ligands at once, so at any given time COG ligands are available
for conjugation. However, at lower numbers of COG ligands (i.e., 1–4
as described here) there is likely enough void volume in the dendrimer
to hold all COG ligands at once, possibly preventing click reaction
with solution species. Additionally, utilization of click chemistry
with γ-azide-FA eliminates the less active α-FA that is
bound through the α-carboxylic acid. Both structural isomers
of the click reaction are likely present, although that alone would
not be expected to have great effect on binding to the FBP. The presence
of both isomers may contribute to peak broadening of the products
in rp-UPLC (see Figure S3 in the Supporting Information). rp-UPLC also provides a useful tool for monitoring the click reaction,
as the reaction of the hydrophobic ligand leads to a decrease in retention
of the dendrimer conjugate on the C18 column. This technique provides
a more accurate measurement of FA-to-dendrimer ratio of the product
than techniques such as NMR, which only provides an average number
and provides no detail about the individual ligand-to-dendrimer ratios
that are present within a sample.[54] For
this measurement the NMR spectroscopy based averages suffer from low
signal for the conjugated species as compared to the polymer scaffold,
and from the polydispersity of the scaffold employed (see Supporting Information).Figure 6a compares the monovalent sample,
G5-Ac-FA1.0, to the Poisson distribution expected for a
stochastically synthesized G5–FA conjugate with an average
ratio of 1. By way of comparison, G5-Ac-FA1.0 has only
4% unfunctionalized material compared to 37% in the stochastic material.
More importantly, 26% of the stochastic material has two or more FAs
covalently attached, meaning this material is not truly representative
of monovalent behavior. The G5-Ac-FA1.0 material may only
undergo a single, monovalent specific interaction with a single FBP.
Although the higher FA conjugates are not monodisperse, their heterogeneity
has been significantly reduced as compared to an equivalent average
stochastic conjugation. rp-UPLC has also revealed the relative amount
of each ratio present in the samples (Figure 6b–d), allowing for a much better understanding of the contribution
of each “n” valency species in the
sample to the binding as a whole. For example, the product of the
G5-Ac-COG3 click reaction (G5-Ac-FA1.9) has
an average of ∼2 FAs per dendrimer, but UPLC reveals that 23%
of the material has three FAs attached, while 49% has two FAs, 24%
is monovalent, and 4% of the material has zero FA. The presence of
dendrimer conjugated to more than 3 FAs is not possible as the starting
material contained no dendrimer conjugated to 4 or more COGs. The
equivalent stochastic average of n = 1.9 has significant
concentrations of 10 unique FA-to-dendrimer ratios (ranging from 0
to ∼9), and ∼15% of the sample has zero FA. The decreased
sample complexity and improved characterization for the samples summarized
in Table S3 in the Supporting Information allow
for more accurate interpretation of subsequent SPR results.
Figure 6
Comparison
of distributions in click reaction products vs theoretical
stochastically conjugated products (purple bars) of the same average
for ratios of (a) 1.0 (red bars), (b) 1.2 (orange bars), (c) 1.9 (green
bars), and (d) 2.7 (blue bars).
Comparison
of distributions in click reaction products vs theoretical
stochastically conjugated products (purple bars) of the same average
for ratios of (a) 1.0 (red bars), (b) 1.2 (orange bars), (c) 1.9 (green
bars), and (d) 2.7 (blue bars).As illustrated in Figures 4 and 5, G5-Ac-FA0 shows no binding to either
of the FBP immobilized chips at the concentrations tested. However,
G5–FA have binding
curves that saturate at higher concentration. The total signal during
binding phase (0–200 s) (Figure 7) increases
as a function of polymer concentration, FA valency (n), and density of protein immobilization.
Figure 7
Definition of fitting
parameters.
Definition of fitting
parameters.At 200 s, injection is
complete and the dissociation phase begins
(Figures 4 and 5). Several
noteworthy observations can be made. First, at free FA concentrations
∼100-fold higher than the equivalent conjugated FA conditions,
free FA returns to baseline in the low density chip and nearly to
baseline in the high density chip. This observation is consistent
with the expected, reversible binding of FA to FBP. G5-Ac-FA0 also returns to baseline, indicating no irreversible interaction
with the surface on the time scale of the experiment. Most importantly,
monovalent G5-Ac-FA1.0 has a significantly reduced dissociation
rate as compared to FA (Figures 4c and 5c). In addition, G5-Ac-FA1.0 does not
return to baseline during the time scale of the experiment (500 s)
at any concentration for either FBP surface density. The dissociation
phase levels off substantially above the initial baseline, indicating
that a portion of the material remains bound to the surface. This
observation is true even though the highest relative FA concentration
tested for G5-Ac-FA1.0 (10 μM) is 25 times lower
than the lowest FA concentration (0.25 mM). In other words, the dendrimer
conjugate binds much more tightly than free FA (Kd ∼ 5–10 μM).The irreversible
binding on the time scale of the SPR experiment
has previously been attributed to multivalent binding between the
conjugate and receptor,[31,44]however that
cannot be the case for this purely monovalent conjugate.
This data strongly supports the key–lock/van der Waals binding
mechanism proposed by Licata and Tkachenko[45] in which only one FA to FBP interaction is necessary to initiate
the stronger interaction between the dendrimer and FBP, which itself
is a result of the summation of many weak van der Waals interactions.
This result contradicts the mechanism proposed by Sander et al.[44] that attributed all observed reversible binding
to singly bound species. Hansen et al. have demonstrated using fluorescence
spectroscopy that the tryptophan residues reorient upon folic acid
binding to the FBP interior generating a more hydrophilic protein
surface.[51,52] We hypothesize that this reorientation leads
to the large increase in polymer–protein binding strength when
FA is conjugated to the polymer.More general observations can
be made for the higher average conjugates.
All G5-Ac-FA have dissociation
sensorgrams similar to those previously reported results on both the
high and low density chips.[31] All samples
have a portion of material that is irreversibly bound to the FBP surface
on the time scale of this experiment (Figures 4 and 5). The saturation value (y° value in Figure 7) changes as a function
of FBP surface density (Figure 8). On the low
density chip, the maximum signal from irreversibly bound material
is 14 ± 2 response units, which is achieved at a total FA solution
concentration of ∼10 μM. On the high density surface,
the response unit values saturate at 46 ± 4 at ∼10 μM.
The only exception is G5-Ac-FA1.0, for which 10 μM
is the highest concentration tested. For both low and high FBP density,
this conjugate did not reach the saturation value by 10 μM.
Figure 8
Saturation
of irreversible bound material (y°)
as a function of FA concentration.
Saturation
of irreversible bound material (y°)
as a function of FA concentration.This surface density-dependent saturation of signal is indicative
of a limiting number of FBP binding sites available for binding to
the conjugates. Figure 8 also suggests that
the total amount of irreversibly bound material is determined primarily
by (i) total FA concentration in solution and (ii) surface FBP density.
All differences in the irreversibly bound fraction for the multivalent
(n = 1.2–2.7; orange, green, and blue) samples
can be attributed to the difference in FA concentration of these samples,
which completely saturates when total FA concentration is ∼10
μM. The monovalent material (G5-Ac-FA1.0, red) appears
to have slightly lower binding compared to the multivalent samples
based on total FA concentration. This occurrence may result from the
enhanced effective concentration in the multivalent samples due to
dendritic architecture forcing the multiple FAs into a ∼5 diameter
spherical area. This effect is small, and there appears to be no additional
effect when valency is increased above n = 2. Qualitative
observations (i.e., irreversible binding fraction in the G5-Ac-FA1.0 sample and nonzero y°) indicate that
this data will not adhere to the simple single phase Langmuir isotherm.
To demonstrate this relationship quantitatively, the data was fit
with several models.The development of the models and resulting
fits may be found in
the Supporting Information (Tables S4–S6,
Figures S7 and S8). Several additional observations can be made. First,
as expected, a single phase model (which mathematically describes
Figure 2a) that assumes complete dissociation
of the complex is a poor fit for the dissociation phase of all samples.
The single phase association appears to have a good
fit with the experimental data, however because this equation includes
the single phase dissociation constant determined by the poorly fit
dissociation phase, the overall mechanism is still invalid. Two phase
dissociation fits the data significantly better for all valencies
and concentrations. Second, the mathematical model equivalent to Figure 2b results in a poor fit for all the G5-Ac-FA1.0 data. The two phase model (equivalent to the mechanism
illustrated Figure 2c) had the best overall
fit with an average residual of 2.39 response units. From this analysis,
two main conclusions can be drawn: (1) There are at least two types
(or steps) of association for G5–FA to the immobilized FBP, which leads to (2) the presence of both
a transiently and irreversibly bound material for all G5–FA, including monovalent material. Clearly,
in the original analysis of SPR data by Banaszak Holl et al.[31] (Figure 2a), the assumption
that all bound material would eventually dissociate (i.e., y′ = 0) from the surface was erroneous. The model
proposed by Sander et al.[44] (Figure 2b) correctly noted that a fraction of the material
remained bound to the surface for the length of the experiment (essentially
irreversibly); however, the additional assumption that G5–FA1, or G5–FA (n ≥ 1) bound through a single FA/FBP bridge was entirely responsible
for the observed dissociation in stochastic mixtures of G5–FA was incorrect. This model is clearly contradicted
by the G5-Ac-FA1.0 results, which are poorly fit by the
equivalent mathematical model, and which clearly show enhanced binding
to the FBP over free FA. When the other samples were fit with the
same model, allowing for n = 0 or n = 0 and 1 to reversibly bind and n ≥ 2 to
irreversibly bind, poor association phase fits were observed (especially
at lower FBP densities). The third theory, put forth by Licata and
Tkachenko,[45] proposed that an initial binding
event between conjugate and FBP is keyed by FA, and then the binding
strength becomes dominated by van der Waals forces between the ∼30
kDa polymer and ∼40 kDa protein (Figure 2c). These summed weak interactions are responsible for the increased
avidity for the conjugates, which the authors hypothesized are too
great to be attributed to the comparatively weak (Kd ∼ 5–10 μM) FA/FBP interaction. Mathematically,
this model would not show a dependence of Kd on degree of FA valency and is best represented schematically in
Figure 2c (and quantitatively by eq 6 in the Supporting Information), which allows all conjugates
with at least one FA to undergo both transient (FA/FBP bridge formation)
and irreversible (formation of a strong complex between the PAMAM
and FBP) binding events. The increased avidity for the G5-Ac-FA1.0 conjugate as compared to free FA on both the low and high
surface density chips, which is not further improved even with the
G5-Ac-FA2.7 conjugate, best agrees with this model qualitatively
and quantitatively.Therefore, we propose that the binding between
G5-Ac-FA conjugates and immobilized FBP
can be explained
by a 2-fold mechanism. First, G5-Ac-FA binds to a FBP immobilized on the chip surface. This interaction
has an association constant (ka2) of ∼14
nM–1 s–1. Because the initial
binding is dependent on the concentration of FA, there is an enhancement
of avidity due to an increased total concentration of FA when multiple
copies of the ligand are attached to the same dendrimer. This effective
concentration may also lead to an increased chance of rebinding, as
the FA/FBP dissociation constant (kd2)
of ∼9 s–1 allows for dissociation of the
conjugate from the surface on the SPR experimental time scale. Therefore,
although strong binding is observed for all samples, the G5-Ac-FA1.0 binds slightly less total material at the same relative
FA concentration as compared to higher valency samples. After the
FA binds to the FBP, the protein undergoes a conformational change,[51,52] exposing a more hydrophilic surface. In the second step, the acetylated
dendrimer arms, which are in close proximity to the protein because
of the initial FA–FBP key–lock interaction, interact
via van der Waals forces with the FBP. We hypothesize that the interaction
is further energetically driven by the rearrangement of FBP to yield
a more hydrophilic surface after FA binding.[51,52] Although individual van der Waals interactions are weak, the sum
of many interactions available between the two ∼5 nm entities
and the associated desolvation create a force that is irreversible
over the time scale of these SPR experiments.Similar hydrophobic
interactions are known to significantly contribute
to the interactions between two proteins.[55,56] Experimental and theoretical measurements indicate that van der
Waals interactions are effective only over a very short range (1–2
Å),[56] which supports the need for
the FA/FBP interaction to key the hydrophobic interaction. Additionally,
it has been observed that flexibility in at least one interacting
protein strongly enhances the ability for van der Waals interactions
to occur between proteins.[57−59] As PAMAM dendrimers are known
to be highly flexible, these observations also support the hypothesis
of nonspecific interaction between the polymer and protein surface.The model proposed here is related to the well-known case of slow,
tight binding previously described in detail for enzyme inhibitors.[49,50,60] Indeed, this behavior has been
observed for folate analogues interacting with dihydrofolate reductase.[61] For the case of the FA–PAMAM conjugates,
the rapid FA–FBP equilibrium is followed by the irreversible
PAMAM–FBP binding to form a tight, stable complex. As illustrated
in Figure 2c, the PAMAMdendrimer is believed
to rearrange to allow the van der Waals interactions with the protein.
Additionally, it is likely that a rearrangement of the FBP upon binding
to the conjugated FA exposes a more hydrophilic surface,[51,52] enabling this interaction only when at least one FA is conjugated
to the PAMAM.
Conclusions
In summary, we have
synthesized a monovalent G5-Ac-FA1.0 conjugate that allows
for the distinction between three previously
proposed mechanisms for the high avidity interaction with FBP. We
have also synthesized multivalent G5–FA conjugates with narrow,
nonstochastic FA-to-dendrimer ratio distributions to examine the kinetics
of interaction between dendrimer-conjugated FA and FBP. The removal
of trailing generations and oligomers in the PAMAMdendrimer starting
material enabled the decoupling of mass and polymer surface area effects
from FA valency. rp-HPLC enabled the isolation of dendrimers containing
precise ratios (1, 2, 3, and 4) of copper-free, ring strain promoted
click ligands to a dendrimer scaffold. A γ-azide-FA was clicked
to these precise ratio conjugates to synthesize FA functionalized
dendrimers with narrow, well-defined distributions of FA with average
ratios of up to 2.7 FAs per dendrimer. Importantly, the monovalent
conjugate G5-Ac-FA1.0 was synthesized with no portion of
the sample having more than 1 conjugated FA, allowing for the distinction
of polymer contributions (i.e., solubility and van der Waals interactions
with the surface) from multivalent contributions (i.e., effective
concentration and chelate binding) to the increased binding of dendrimer
conjugates to FBP surfaces. SPR studies revealed that G5-Ac-FA1 experiences the enhanced avidity over free FA that has previously
been attributed to multivalent FA binding. Through examination of
four quantitative models, it was concluded that the mechanism of interaction
between G5-Ac-FA and surface immobilized
FBP is 2-fold: an initial, reversible, FA concentration dependent
key–lock or slow-onset, tight-binding interaction between the
conjugate and protein, followed by irreversible interaction between
the dendrimer and protein surfaces. The confirmation that these samples, even for a monovalent sample, exhibit irreversible binding
on the time scale of the FA experiment disproves the original interpretation
of Banaszak Holl et al.[31] These findings
also provide evidence against the model proposed by Sander et al.,[44] which attributed the increase in avidity to
dendrimer species with 2 or more conjugated FAs and assigned all dissociated
material as singly bound. However, the model proposed by Licata et
al.[45] explains the original data[31] and agrees well with these new findings. This
van der Waals interaction model is in agreement with similar observations
between two proteins in the literature[59] and consistent the reported rearrangement of FBP structure following
FA binding.[51,52]The mechanism proposed
here is based on SPR experiments with an
immobilized FBP on a three-dimensional surface. By way of contrast,
cellular uptake mechanisms for FA targeted entities involve binding
to FAR on a fluctuating cell membrane. The data and conclusions are
directly comparable to previous studies that employed this model system;
however, the results only serve to provide a possible hypothesis for
the interaction mechanism of folate–polymer conjugates with
cell-membrane bound FAR. The interaction of G5-Ac-FITC-FA with folic acid receptor upregulated KB cells, reported
along with the original SPR experiments,[31] exhibited the same saturation behavior as a function of ligand number
(n). Based on the data and mechanistic interpretation
presented here and in the work of Licata and Tkachenko,[45] the observed enhancement of residence on the
KB cell surface as a function of n could result from
a combination of overall increased FA concentration and increased
rebinding with increasing n. Alternatively, it is
possible that conjugate-initiated receptor clustering occurs on the
cell membrane which is impossible for the FBP immobilized to a dextran
surface. Experiments to synthesize fluorescent materials containing
precise ratios of FA targeting ligand for cell culture and in vivo experiments are in progress.
Authors: Casey A Dougherty; Joseph C Furgal; Mallory A van Dongen; Theodore Goodson; Mark M Banaszak Holl; Janet Manono; Stassi DiMaggio Journal: Chemistry Date: 2014-03-06 Impact factor: 5.236
Authors: Mallory A van Dongen; Ankur Desai; Bradford G Orr; James R Baker; Mark M Banaszak Holl Journal: Polymer (Guildf) Date: 2013-07-19 Impact factor: 4.430
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Authors: Mohiuddin A Quadir; Stephen W Morton; Lawrence B Mensah; Kevin Shopsowitz; Jeroen Dobbelaar; Nicole Effenberger; Paula T Hammond Journal: Nanomedicine Date: 2017-03-02 Impact factor: 5.307
Authors: Clifford M Csizmar; Jacob R Petersburg; Thomas J Perry; Lakmal Rozumalski; Benjamin J Hackel; Carston R Wagner Journal: J Am Chem Soc Date: 2018-12-17 Impact factor: 15.419
Authors: Pascale R Leroueil; Stassi DiMaggio; Abigail N Leistra; Craig D Blanchette; Christine Orme; Kumar Sinniah; Bradford G Orr; Mark M Banaszak Holl Journal: J Phys Chem B Date: 2015-08-14 Impact factor: 2.991
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