Kingshuk Dutta1,2, Ritam Das2, Jing Ling3, Rafael Mayoral Monibas4, Ester Carballo-Jane5, Ahmet Kekec6, Danqing Dennis Feng6, Songnian Lin6, James Mu4, Robert Saklatvala7, S Thayumanavan2, Yingkai Liang1. 1. Discovery Pharmaceutical Sciences, Merck & Co., Inc., West Point, Pennsylvania 19486, United States. 2. Department of Chemistry, University of Massachusetts, Amherst, Massachusetts 01003, United States. 3. Discovery Pharmaceutical Sciences, Merck & Co., Inc., South San Francisco, California 94080, United States. 4. Discovery Biology, Merck & Co., Inc., South San Francisco, California 94080, United States. 5. External In Vivo Pharmacology, Merck & Co., Inc., Kenilworth, New Jersey 07033, United States. 6. Chemistry Capabilities Accelerating Therapeutics, Merck & Co., Inc., Kenilworth, New Jersey 07033, United States. 7. Discovery Pharmaceutical Sciences, Merck & Co., Inc., Boston, Massachusetts 02115, United States.
Abstract
Due to their relatively large molecular sizes and delicate nature, biologic drugs such as peptides, proteins, and antibodies often require high and repeated dosing, which can cause undesired side effects and physical discomfort in patients and render many therapies inordinately expensive. To enhance the efficacy of biologic drugs, they could be encapsulated into polymeric hydrogel formulations to preserve their stability and help tune their release in the body to their most favorable profile of action for a given therapy. In this study, a series of injectable, thermoresponsive hydrogel formulations were evaluated as controlled delivery systems for various peptides and proteins, including insulin, Merck proprietary peptides (glucagon-like peptide analogue and modified insulin analogue), bovine serum albumin, and immunoglobulin G. These hydrogels were prepared using concentrated solutions of poly(lactide-co-glycolide)-block-poly(ethylene glycol)-block-poly(lactide-co-glycolide) (PLGA-PEG-PLGA), which can undergo temperature-induced sol-gel transitions and spontaneously solidify into hydrogels near the body temperature, serving as an in situ depot for sustained drug release. The thermoresponsiveness and gelation properties of these triblock copolymers were characterized by dynamic light scattering (DLS) and oscillatory rheology, respectively. The impact of different hydrogel-forming polymers on release kinetics was systematically investigated based on their hydrophobicity (LA/GA ratios), polymer concentrations (20, 25, and 30%), and phase stability. These hydrogels were able to release active peptides and proteins in a controlled manner from 4 to 35 days, depending on the polymer concentration, solubility nature, and molecular sizes of the cargoes. Biophysical studies via size exclusion chromatography (SEC) and circular dichroism (CD) indicated that the encapsulation and release did not adversely affect the protein conformation and stability. Finally, a selected PLGA-PEG-PLGA hydrogel system was further investigated by the encapsulation of a therapeutic glucagon-like peptide analogue and a modified insulin peptide analogue in diabetic mouse and minipig models for studies of glucose-lowering efficacy and pharmacokinetics, where superior sustained peptide release profiles and long-lasting glucose-lowering effects were observed in vivo without any significant tolerability issues compared to peptide solution controls. These results suggest the promise of developing injectable thermoresponsive hydrogel formulations for the tunable release of protein therapeutics to improve patient's comfort, convenience, and compliance.
Due to their relatively large molecular sizes and delicate nature, biologic drugs such as peptides, proteins, and antibodies often require high and repeated dosing, which can cause undesired side effects and physical discomfort in patients and render many therapies inordinately expensive. To enhance the efficacy of biologic drugs, they could be encapsulated into polymeric hydrogel formulations to preserve their stability and help tune their release in the body to their most favorable profile of action for a given therapy. In this study, a series of injectable, thermoresponsive hydrogel formulations were evaluated as controlled delivery systems for various peptides and proteins, including insulin, Merck proprietary peptides (glucagon-like peptide analogue and modified insulin analogue), bovineserum albumin, and immunoglobulin G. These hydrogels were prepared using concentrated solutions of poly(lactide-co-glycolide)-block-poly(ethylene glycol)-block-poly(lactide-co-glycolide) (PLGA-PEG-PLGA), which can undergo temperature-induced sol-gel transitions and spontaneously solidify into hydrogels near the body temperature, serving as an in situ depot for sustained drug release. The thermoresponsiveness and gelation properties of these triblock copolymers were characterized by dynamic light scattering (DLS) and oscillatory rheology, respectively. The impact of different hydrogel-forming polymers on release kinetics was systematically investigated based on their hydrophobicity (LA/GA ratios), polymer concentrations (20, 25, and 30%), and phase stability. These hydrogels were able to release active peptides and proteins in a controlled manner from 4 to 35 days, depending on the polymer concentration, solubility nature, and molecular sizes of the cargoes. Biophysical studies via size exclusion chromatography (SEC) and circular dichroism (CD) indicated that the encapsulation and release did not adversely affect the protein conformation and stability. Finally, a selected PLGA-PEG-PLGA hydrogel system was further investigated by the encapsulation of a therapeutic glucagon-like peptide analogue and a modified insulin peptide analogue in diabeticmouse and minipig models for studies of glucose-lowering efficacy and pharmacokinetics, where superior sustained peptide release profiles and long-lasting glucose-lowering effects were observed in vivo without any significant tolerability issues compared to peptide solution controls. These results suggest the promise of developing injectable thermoresponsive hydrogel formulations for the tunable release of protein therapeutics to improve patient's comfort, convenience, and compliance.
Peptides
and proteins now constitute a significant portion of therapeutics
for various disease indications, owing to their favorable safety profile,
target specificity, and pharmacokinetics (PK) compared to small-molecule
drugs.[1−5] However, the stability and conformational integrity of these molecules
still remain a significant challenge for the discovery and development
of peptide/protein therapeutics.[6,7] Due to their complex,
dynamic, and fragile three-dimensional structures, proteins are often
susceptible to aggregation and denaturation in the presence of harsh
proteolytic and chemical environment in the human body, which might
require repetitive dosing for many biologics, potentially compromising
the patient’s comfort and compliance. To this end, hydrogels
have emerged as a promising class of drug delivery vehicles owing
to their abilities to meet the critical delivery challenges:[8−11] (a) protecting the delicate cargo over the extended period of therapy;
(b) enabling the release of cargo in a tunable manner to maintain
drug concentration within the therapeutic window; (c) serving as a
drug depot that significantly minimizes the number/frequency of administration
with lower side effects; (d) offering on-demand drug release in response
to specific stimuli through highly tunable structures; and (e) enhancing
biocompatibility with a suitable choice of materials.In particular,
temperature-sensitive hydrogels have attracted considerable
interest for several therapeutic applications.[12−15] The thermogelling polymers based
on poly(N-isopropylacrylamide) and polyester block
copolymers can remain in solution at low or room temperature but rapidly
convert to solidifying gels upon injection at body temperature (37
°C).[9,13,16−20] These temperature-sensitive materials would be amenable to incorporate
biomacromolecules such as proteins via simple mixing and protect the
cargoes from potential enzymatic degradation. Specifically, the solution
of the polymer–protein mixture allows for easy injection via
a syringe, and the rapid gelation upon injection at a targeted location
would serve as a drug depot for long-term sustained delivery. The
drug release kinetics can be efficiently controlled by the choice
of a gel-forming polymer backbone with suitable amphiphilicity and
biodegradability. Particularly, temperature-sensitive hydrogels based
on poly(lactide-co-glycolide)-block-poly(ethylene glycol)-block-poly(lactide-co-glycolide) (PLGA–PEG–PLGA) have attracted
considerable interest as a sustained drug delivery depot owing to
their biocompatibility and promising safety profile.[21−23] For example, ReGel is a thermogel formulation developed based on
PLGA–PEG–PLGA systems and has been evaluated in clinical
trials for the delivery of a poorly soluble drug, paclitaxel (OncoGel),
as a local chemotherapy.[15] In addition
to the delivery of hydrophobic small-molecule drugs, peptides and
proteins can also be entrapped in the hydrophilic domain of the hydrogels
and release through diffusion from the network, through which the
release of protein therapeutics, such as insulin,[24] exenatide,[25,26] liraglutide,[13] and interleukin-2 (IL-2),[27] has
been evaluated previously. Despite the promise of these studies, there
have been limited understandings in the interplay of these protein
cargoes with the hydrogel systems during encapsulation and release,
especially given the well-known acidic degradation byproducts of PLGA
and the delicate nature of various proteins. Therefore, a fundamental
study correlating the molecular and physicochemical characteristics
of PLGA–PEG–PLGA hydrogels (hydrophobicity/solubility,
gelation time, and mechanical strength) with the release kinetics
and biophysical/conformational stability of protein cargoes in various
sizes would provide valuable insight and understanding in the potential
translation of such hydrogel systems into real clinical products of
long-acting protein therapeutics.In this work, PLGA–PEG–PLGA
hydrogels were investigated
for the sustained release of various biologic cargoes, including insulin,
Merck proprietary peptides (glucagon-like peptide analogue and modified
insulin analogue), bovineserum albumin (BSA), and immunoglobulin
G (IgG) (Scheme ).
The effects of polymer concentrations, the hydrophobicity of two LA/GA
block ratios, and the impact of polysaccharide-based excipients on
the release kinetic of insulin were studied. Additionally, the impact
of molecular weight and solubility of encapsulated macromolecular
cargoes (insulin, BSA, and IgG) on the release rate from hydrogels
was also assessed. The biophysical stability and conformational properties
of these released proteins were confirmed via size exclusion chromatography
(SEC) and circular dichroism (CD). Finally, the glucose-lowering efficacy
and pharmacokinetics performance of selected PLGA–PEG–PLGA
hydrogel formulations that contain Merck proprietary peptides (glucagon-like
peptide analogue and modified insulin analogue) were evaluated in
diabeticmouse and minipig models.
Scheme 1
(a) Structure of PLGA–PEG–PLGA
Triblock Copolymer Used
In This Study; (b) Thermogelation Mechanism of the Polymer Solution
at an Elevated Temperature; (c) In Vivo Efficacy and Pharmacokinetics
Studies of Therapeutic Peptides in Diabetic Animal Models
Results
PLGA–PEG–PLGAtriblock copolymers show a low critical
gelation concentration (ca. 12–30 wt %) and have a low critical
gelation temperature (ca. 25–37 °C), which render them
promising materials for drug delivery applications.[12,28] Moreover, the aqueous solution of these polymers shows a reversible
temperature-sensitive hydrogel formation. At low temperature (ca.
4 °C), the polymer forms micelles in solution, where end PLGA
blocks form the core and PEG blocks are exposed toward the aqueous
phase (Scheme ). At
an elevated temperature (ca. 37 °C), the outer PEG blocks start
dehydrating, leading to increased interactions between hydrophobic
chains. At this stage, micellar particles interact and form aggregates
leading to the formation of a percolated hydrogel network structure.[12,29,30] In this study, the PLGA–PEG–PLGApolymers tested exhibited a low critical gelation temperature of approximately
34 °C, providing a flexible transition window for in vivo applications.
Thermoresponsive Properties of PLGA–PEG–PLGA
Triblock Copolymers
To understand the changes in the co-assembly
behavior of the polymers with temperature, we studied the sizes of
micelles formed in diluted polymer solutions (0.1%) at different temperatures
(Figure a,b). For
94/6–25 and 3/1–25% polymers, the initially formed micelle
sizes were 24 and 43 nm, respectively, at 4 °C. No appreciable
changes were observed in assembly sizes in both cases at temperatures
up to 30 °C. However, when the temperature was increased to 37
°C, larger particle sizes were observed for both polymer systems
(42 and 73 nm for 94/6 and 3/1 polymers, respectively; Figure a,b and Figure S1). As the gelation process is expected to generate
networks of polymer threads, the size values at this step suggest
a qualitative measure of the changes in the assembly properties at
the diluted concentration to help understand the transformation from
the micelle to gel network structure of concentrated polymer solutions.
Figure 1
DLS measurements
of 94/6 (a) and 3/1 (b) PLGA-PEG-PLGA (LA/GA ratio)
polymer solutions (0.1%) showing the changes in particle sizes with
temperature.
DLS measurements
of 94/6 (a) and 3/1 (b) PLGA-PEG-PLGA (LA/GA ratio)
polymer solutions (0.1%) showing the changes in particle sizes with
temperature.
Rheological
Behaviors of Hydrogels at Different
Polymer Concentrations
Polymer solutions with varying concentrations
and LA/GA ratios were subsequently studied using oscillatory rheology
to understand their suitability as in situ drug depots. To this end,
gelation time/kinetics and changes in viscoelastic properties as a
function of time at 37 °C (Figure and Supporting Information Figure S2) were studied. Specifically, the storage modulus (G′) and loss modulus (G″)
were monitored, where the storage modulus (G′)
represents the elastic/solid-like property and the loss modulus indicates
(G″) the viscous/liquid-like property of polymeric
materials.[31] At low temperature, polymers
in the buffer solution behaved more liquid-like as evidenced by the G″ > G′ values at the
beginning
of the experiment in all cases (Figure ). However, G′ of the solutions
rapidly increased when subjected to 37 °C incubation. This was
attributed to the formation of hydrogels from the polymer solutions,
and the kinetics could be quantified from the gelation time or gel
point (tgel, defined as the temperature,
where G′ = G″ and
measured at the cross-over point; Figure ).[32]
Figure 2
(a–d)
Moduli of PLGA–PEG–PLGA hydrogels at
37 °C for different polymer concentrations and LA/GA contents
(abbreviated as LA/GA–polymer concentration); (e) summary of
the storage, loss moduli, and gelation time for the experimented hydrogel
systems at 37 °C. *Gelation time of 3/1–25% hydrogel is
less than 2 s at 37 °C as gelation occurred during the temperature
ramp step.
(a–d)
Moduli of PLGA–PEG–PLGA hydrogels at
37 °C for different polymer concentrations and LA/GA contents
(abbreviated as LA/GA–polymer concentration); (e) summary of
the storage, loss moduli, and gelation time for the experimented hydrogel
systems at 37 °C. *Gelation time of 3/1–25% hydrogel is
less than 2 s at 37 °C as gelation occurred during the temperature
ramp step.To explore the optimal polymer
concentration, we studied the dynamic
viscoelastic properties of hydrogels through observing tgel and changes in the G′ and G″ values. The tgel was
expected to be lowered with increasing polymer concentration and hydrophobicity.
It was expected that a higher polymer concentration would lower the
gelation time. Indeed, the measured values of tgel were found to be 150, 90, and 80 s for polymer concentrations
of 20, 25, and 30%, respectively (for LA/GA ratio 94/6). The moduli
of the systems, G′ and G″,
also followed a similar trend. At 37 °C, the G′ values sharply increased for all hydrogel precursor solutions,
indicating rapid gelation. The storage moduli near the cross-over
point (tgel) were 20, 95, and 164 Pa for
94/6–20, 94/6–25, and 94/6–30% polymer solutions,
respectively. However, the 3/1–25% polymer system behaved differently
with faster gelation (instantaneously formed hydrogel upon exposure
to 37 °C; tgel could not be measured
as the cross-over point was achieved very fast) and a higher G′ value (276 Pa at 90 s), which was counterintuitive
as hydrogels formed by copolymers with lower LA/GA ratios are typically
less stable due to weaker hydrophobic interactions.[33] This could be potentially attributed to the local aggregation
of the polymer that increased the viscosity and eventually phase-separated
after 3 days of exposure at 37 °C (see Figure S3 in the Supporting Information). Nevertheless, the concentration-dependent
increase in the mechanical strength of LA/GA 96/4 hydrogels is consistent
with the existing reports in similar thermogel systems,[14,34] suggesting this to be a facile approach in tailoring the mechanical
properties and stability of the hydrogels.
Release
Kinetics of Insulin from Temperature-Sensitive
Hydrogels with Different Polymer Concentrations and LA/GA Contents
The release characteristics of various thermoresponsive gel systems
were evaluated using insulin as a model molecule. Figure illustrates the cumulative
release of insulin over a period of 35 days. Initially, ∼20%
of insulin was released within 2 days from all hydrogels irrespective
of the polymer concentration and LA/GA content. This uncontrolled
burst release behavior can be attributed to the loosely bound cargo
molecules located at the vicinity of the hydrogel–buffer interface.
In the second phase, the release of insulin became more gradual and
showed concentration dependence for 94/6 hydrogels, with >90% of
insulin
being released from 20, 25, and 30% hydrogels within 14, 21, and 28
days, respectively. However, the 3/1–25% system showed a rather
slow and sustained release behavior with only additional ∼25%
of cargo release over a period of 17 days (from 38% at day 4 to 63%
at day 21). For this system, insulin release was completed after 35
days. Interestingly, these release profiles can be explained based
on the rheological properties of the hydrogels (Figure e). As the storage modulus gradually increases
with the polymer concentration for 94/6 systems, the release kinetics
becomes slower. However, the 3/1 system showed a significantly higher G′ value that directly influenced the release profile
providing rather slower and sustained kinetics. It is important to
note that the release mechanism of cargo molecules from the hydrogel
systems was dictated by both diffusion and degradation kinetics of
the polyester backbone of the polymers. While diffusion and slow hydrolytic
degradation are the major mechanisms of insulin release for 94/6 systems,
the anomalous slow release from the 3/1 system could be due to aggregation
and local phase separation/precipitation that imparted greater hydrolytic
resistance to the hydrogel. Comparable insulin release data was reported
by Payyappilly et al. for thermoresponsive poly(ethylene glycol)–poly(e-caprolactone)–poly(ethylene
glycol) (PEG–PCL–PEG) hydrogels,[34] in which such dependence of insulin release kinetics on
the polymer concentration and gel strength (i.e., storage modulus)
was also observed. These results confirm that protein release kinetics
from these hydrogels can be easily tuned, which provides insights
into the design of hydrogels that meet the targeted therapeutic profile
of a specific disease indication.
Figure 3
Cumulative release kinetics of insulin
from different PLGA–PEG–PLGA
hydrogels (n = 3).
Cumulative release kinetics of insulin
from different PLGA–PEG–PLGA
hydrogels (n = 3).
Stability and Biophysical Characterization
of Insulin Released from Hydrogels
The released insulin was
evaluated for structural stability with SEC and CD spectroscopy over
the course of the release. Figure demonstrates the SEC profiles of the released insulin,
which are indicative of the possibility of any aggregation during
the encapsulation and release process. Although there was some minor
shift in retention time, which could be due to the drastic differences
in insulin concentration, as well as the possible polymer residues
present in the release samples, no significant aggregation was observed
throughout the entire release period. The secondary structural property
of the released insulin was further tested with CD spectroscopy (Figure ). Insulin shows
the CD spectra that are typical of an α-helical protein with
negative bands occurring at 208 and 222 nm regions.[35,36] As illustrated in Figure , no significant change of protein conformation was observed
even after 35 days of release study. It was also confirmed in previous
studies with other systems that the secondary conformation of insulin
was maintained in comparison to that of native insulin (ca. up to
7 days) after releasing from the hydrogels.[34,37] These results indicate that the majority of the encapsulated insulin
retained the structural integrity and conformation through the entire
course of release from the hydrogels, which could likely be attributed
to the limited molecular motions/interactions and hydrophilic microenvironment
within the hydrogels. Owing to the reasonable release duration and
well-defined gelation kinetics of 94/6 hydrogels at a 25% concentration,
this composition was employed in all further studies of the hydrogels.
Figure 4
SEC of
the released insulin at different time intervals from hydrogels:
(a) 94/6–20%, (b) 94/6–25%, (c) 94/6–25%, and
(d) 3/1–25%.
Figure 5
CD spectroscopy of the
released insulin at different time intervals
from hydrogels: (a) 94/6–20%, (b) 94/6–25%, (c) 94/6–25%,
and (d) 3/1–25% (n = 3).
SEC of
the released insulin at different time intervals from hydrogels:
(a) 94/6–20%, (b) 94/6–25%, (c) 94/6–25%, and
(d) 3/1–25%.CD spectroscopy of the
released insulin at different time intervals
from hydrogels: (a) 94/6–20%, (b) 94/6–25%, (c) 94/6–25%,
and (d) 3/1–25% (n = 3).
Effect of Excipients on Rheological Behaviors
of Hydrogels
Sodium alginate (ALG), hyaluronic acid (HA),
and hydroxypropyl methyl cellulose (HPMC) have been utilized in pharmaceutical
formulations as thickeners, binders, and stabilizers for emulsions.[38−43] It was reported that the addition of these polysaccharide excipients
to poloxamer-based hydrogels can improve the mechanical strength and
gel stability through potential hydrogen-bonding and hydrophobic interactions.[41−43] To understand the applicability of these polysaccharide excipients
to the PLGA–PEG–PLG systems, different 94/6–25%
hydrogels were prepared with final concentrations of 0.75, 1, and
1% of ALG, HA, and HPMC, respectively. For ALG, the lower amount (0.75%)
was found to be the maximum acceptable concentration for obtaining
a stable hydrogel. Afterward, the polymer solutions were mixed with
different excipients for rheological measurements. No significant
change in gelation time was observed for ALG and HPMC, whereas tgel for HA was found to be slightly lower, 77
s (Figure a–c
and Supporting Information Figure S4).
Interestingly, the moduli values for the different excipient-containing
hydrogels were significantly different. Although it was expected that
the utilization of excipients would render thicker hydrogels with
even higher storage moduli compared to the base 94/6–25% hydrogel,
only ALG-incorporated hydrogel showed a higher G′
value in comparison. For HPMC, we did not observe any change in the G′ value. Although HA imparted the fastest gelation,
the G′ value had decreased. These observations
could be explained based on the stability of the excipient-loaded
hydrogels at 37 °C, where precipitation occurred during incubation.
The differential dehydration of the PEG block in the PLGA–PEG–PLGAcopolymer in the presence of different excipients could be a major
reason for such changes in storage modulus.
Figure 6
(a–c) Moduli of
94/6–25% PLGA–PEG–PLGA
hydrogels in the presence of different excipients (abbreviated as
LA–GA_polymer concentration_excipients); (d) summary of storage
and loss moduli and gelation time for the experimented hydrogel systems;
and (e) cumulative release kinetics for 94/6–25% PLGA–PEG–PLGA
hydrogels with excipients (n = 3).
(a–c) Moduli of
94/6–25% PLGA–PEG–PLGA
hydrogels in the presence of different excipients (abbreviated as
LA–GA_polymer concentration_excipients); (d) summary of storage
and loss moduli and gelation time for the experimented hydrogel systems;
and (e) cumulative release kinetics for 94/6–25% PLGA–PEG–PLGA
hydrogels with excipients (n = 3).
Effect of Excipients on Release Kinetics of
Insulin
Next, the release kinetics of insulin was evaluated
from different excipient-loaded hydrogels (Figure e). It is hypothesized that the ALG-loaded
hydrogel should show the slowest insulin release kinetics due to its
highest G′ value. Indeed, it was found that
the hydrogel incorporated with ALG showed the slowest release kinetics
(58% compared to 66, 63, and 72% for no excipient-, HA-, and HPMC-loaded
hydrogels, respectively, at day 7), in agreement with the rheology
data (Figure d). However,
the release of insulin from HA (63% at day 7) and HPMC (72% at day
7) hydrogels was comparable with or slightly higher than that of the
parent 94/6–25% hydrogel (66% at day 7), respectively. All
hydrogels released the insulin cargo within 21 days, which was similar
to the unmodified hydrogel. From the release data and rheological
measurements, it was clear that the alginate-loaded hydrogel could
be marginally beneficial in slowing down the release further, which
is consistent with the previous reports in poloxamer-based systems
where alginate addition was employed to improve gel strength for ophthalmic
delivery.[41] Similarly, all excipient-loaded
hydrogels were found to stabilize the secondary structure of insulin
without significant aggregation (see the CD spectra and SEC profile
in Supporting Information Figures S5 and S6). These results demonstrate that the interactions of the polysaccharide
excipients with the PLGA–PEG–PLGA hydrogel could be
further leveraged to fine-tune the mechanical properties and modulate
the release kinetics of encapsulated cargoes.
Effect
of Protein Sizes on Release Kinetics
and Stability Studies
Finally, to further explore the release
duration and compatibility of these hydrogels with proteins of different
sizes and structural complexity in addition to insulin (5.8 kDa),
the 94/6–25% hydrogel formulations were incorporated with bovineserum albumin (BSA, 66.5 kDa) and immunoglobulin G antibody (IgG,
150 kDa) to study the release kinetics and postrelease protein stability.
Based on the diffusion rate of proteins with varied MWs, it is expected
that the release kinetics from the hydrogel should be fastest for
the smallest MW protein insulin and would gradually slow down for
BSA and IgG. Interestingly, BSA showed the fastest release that was
completed within 4 days, despite having significantly higher MW compared
to insulin (80 and 35% releases for BSA and insulin by day 3, respectively; Figure ). In contrast, IgG
followed the expected trend and provided a gradual steady release
compared to all other proteins (only 18% release by day 3; Figure ). This rationale
behind this specific release kinetics could be based on three parameters:
(a) diffusion, (b) solubility, and (c) hydrolytic degradation of the
hydrogels. For BSA, the release profile was only controlled via diffusion
as gel matrix degradation would be minimal within a couple of days.
Similarly, the physical diffusion of IgG would be the major release
mechanism at the initial stage, which could be subsequently coupled
with gel matrix degradation as time increases. However, the unique
release profile of insulin could be attributed to the differences
in solubility in the hydrogel matrix. Although insulin was solubilized
while loading into the hydrogel, an increase in turbidity was observed
in over a few hours, which indicated partial precipitation of insulin
inside the hydrogel matrix. Thus, the release of insulin from hydrogel
was initially dictated by both solubility equilibria and protein diffusion.
At the later stage, gel matrix degradation became faster and contributed
to the overall release kinetics. Thus, the solubility of the cargo
would also be another contributing factor to control drug release
kinetics. These data are consistent with the previous reports in which
protein precipitation has been reported to contribute significantly
to the prolonged release profiles of small proteins and antibodies
from the hydrogels.[44,45] In this study, 20 mg/mL was selected
as the protein-loading concentration for comparison, but it is expected
that the protein-loading capacity of these hydrogels would be even
higher. Ultimately, the maximum protein loading would be dependent
on the overall viscosity profiles of the formulation that could still
enable syringe injection (i.e., protein size, protein viscosity, polymer
concentration, etc.).
Figure 7
Cumulative release kinetics for 94/6–25% PLGA–PEG–PLGA
hydrogels incorporated with cargoes of different MWs (n = 3).
Cumulative release kinetics for 94/6–25% PLGA–PEG–PLGA
hydrogels incorporated with cargoes of different MWs (n = 3).Similarly, the structural stability
of the released BSA and IgG
was evaluated with SEC and CD spectroscopy (Figure S7). CD spectra of BSA (Figure S7a) showed the predominant α-helical conformation with no deterioration
of the secondary structure confirmed by bands at 208 and 220 nm.[46] IgG, on the other hand, majorly consisted of
β-sheets (a band at 218 nm).[46,47] No distinguishable
conformational change was observed in this case as well (Figure S7b). Although it is known that BSA is
acid-labile and IgG antibody has complex higher-order structures,
both proteins were found to be stable over the course of the encapsulation
and release processes and did not show any significant aggregation
in the SEC profiles (Figure S7c,d). Taken
together, these results indicate the versatility and compatibility
of the hydrogel systems in preserving protein stability and releasing
protein cargoes across a wide range of molecular sizes over an extended
period of time.
In Vivo Peptide Delivery
from Hydrogels
To study the in vivo performance of these
hydrogels, the glucose-lowering
efficacy of glucagon-like peptide (peptide A, 3.5 kDa)-loaded hydrogels
was evaluated in nonfasted diabeticmice (shown in Figure a). The mice receiving a single
injection of blank hydrogel without drug maintained a high blood glucose
level (ca. 80% at 72 h) during the entire course of the experiment.
As expected, the blood glucose levels of mice were effectively lowered
and maintained below 50–65% compared to the starting glucose
values over the course of 48–72 h after a single subcutaneous
administration of the peptide A-loaded gel formulation, whereas the
glucose levels quickly recovered to baseline level (ca. 73%) at approximately
48 h after solution injection of peptide A. These results confirm
that the peptide was released from the hydrogel formulations in a
controlled manner with detectable and comparable bioactivity, demonstrating
the potential of these formulations for repeated administration of
peptide therapeutics in long-term glycemic control.
Figure 8
(a) In vivo release of
a glucagon-like peptide (peptide A, 3.5
kDa) from the 25% PLGA–PEG–PLGA (LA/GA = 94/6) formulation
in diabetic mice (n = 5) after a single subcutaneous
administration. Glucose levels were monitored as a function of time.
Glucose values were normalized against the starting level prior to
injection. Statistical analysis was performed by a two-way ANOVA Dunnett’s
multiple comparison test (**P < 0.01 and ***P < 0.001) vs blank hydrogel control; (b) in vivo release
of a modified insulin peptide analogue (peptide B, 12 kDa) from the
25% PLGA–PEG–PLGA (LA/GA = 94/6) formulation in diabetic
minipigs (n = 6) after a single subcutaneous administration.
Plasma concentration of the modified insulin was measured as a function
of time; statistical analysis was not applied to the PK results due
to the drastic difference in doses between the solution and hydrogel
groups and that a direct dose comparison is not possible without inducing
hypoglycemia.
(a) In vivo release of
a glucagon-like peptide (peptide A, 3.5
kDa) from the 25% PLGA–PEG–PLGA (LA/GA = 94/6) formulation
in diabeticmice (n = 5) after a single subcutaneous
administration. Glucose levels were monitored as a function of time.
Glucose values were normalized against the starting level prior to
injection. Statistical analysis was performed by a two-way ANOVA Dunnett’s
multiple comparison test (**P < 0.01 and ***P < 0.001) vs blank hydrogel control; (b) in vivo release
of a modified insulin peptide analogue (peptide B, 12 kDa) from the
25% PLGA–PEG–PLGA (LA/GA = 94/6) formulation in diabetic
minipigs (n = 6) after a single subcutaneous administration.
Plasma concentration of the modified insulin was measured as a function
of time; statistical analysis was not applied to the PK results due
to the drastic difference in doses between the solution and hydrogel
groups and that a direct dose comparison is not possible without inducing
hypoglycemia.To further understand the in vivo
release profiles and the translation
to these technologies in large animal models, a modified insulin peptide
analogue (peptide B, 12 kDa) was selected as a model molecule and
encapsulated in 94/6–25% PLGA–PEG–PLGA formulation.
The peptide was first dissolved in the polymer solution and injected
subcutaneously in (T1DM) Yucatan minipigs. As shown in Figure b, the plasma concentration
of insulin released from the hydrogel formulation was shown to maintain
at above/close to 0.1 nM over the course of approximately 100 h, indicating
a prolonged release of the payload. In contrast, the peptide released
from the insulin solution formulation (control) was undetectable within
24 h. Due to the strong potency of insulin, it presents a persistent
risk for overdosing that can result in life-threatening hypoglycemia
events, which has been a constant challenge/limitation for many existing
insulin therapies.[48] Owing to its controlled
release characteristics, the hydrogel formulation was able to accommodate
a significantly high dose (ca. ∼16-fold higher) of the modified
insulin peptide without causing any hypoglycemia effects (ca. 15 nmol
in hydrogel vs 0.9 nmol in solution), which could potentially improve
the therapeutic index of insulin.
Discussion
It has long been recognized that the degradation of PLGA-based
polymers generates acidic byproducts, which can lead to a low pH microenvironment
within PLGA-based delivery systems during incubation.[49] For example, reports from Langer and co-workers indicated
that the acidic microclimate pH within PLGA microspheres was in the
range of 1.5–3.5, which could be potential stress for the instability
of encapsulated proteins.[50] Uchida et al.
also reported on the acid-induced degradation of insulin from PLGA
microspheres albeit a very slow release rate.[51] Although the release of insulin and other peptides/proteins has
been previously studied in PLGA–PEG–PLGA systems, only
a few studies have explored the structural integrity and conformation
properties of the encapsulated proteins during the incubation and
release processes. Interestingly, it has been reported that significant
conformational changes of liraglutide (amphiphilic polypeptide with
a hydrophobic 16-carbon side chain) were observed when incubated with
PLGA–PEG–PLGA systems, indicating that the hydrophilicity/hydrophobicity
of the encapsulated proteins might have an impact on their interactions
with the matrix and subsequently their conformational stabilities.[13] The biophysical studies of the released proteins
as characterized by SEC and CD in this report demonstrated that the
PLGA–PEG–PLGA hydrogels do not adversely affect the
stability of encapsulated hydrophilic proteins investigated, including
small peptides like insulins that are prone to aggregation, acid-labile
proteins like BSA, and complex proteins with higher-order structures
such as IgG antibody. This could be likely attributed to the highly
hydrophilic environment within the hydrogel structures, where most
of the acidic degradation byproducts could easily diffuse out of the
matrix and quickly be diluted in the surrounding release media without
interacting with the encapsulated proteins extensively (as opposed
to the potential accumulation of acidic monomers in the relatively
more hydrophobic environment within a microsphere).One potential
area of improvement for the PLGA–PEG–PLGA
hydrogel systems is their relatively short release duration for proteins
(i.e., typically a few weeks in vitro), as these molecules can easily
diffuse through the hydrophilic chains as the polymers dissolve during
incubation. Given the extensive efforts in chemical/hydrophobic modifications
of these polymers (e.g., PLGA/PEG length, end capping, LA/GA ratios),[12] we have also explored approaches based on physical
entanglements of polysaccharide-based excipients as an alternative
to diversify the toolbox of modulating protein release kinetics and
extending release duration. Consistent with the previous reports in
poloxamer-based systems,[41] it is demonstrated
in this study that alginate can improve the mechanical strength of
the hydrogels and prolong protein release from the matrix, likely
due to the hydrogen bonding between the two polymers, which may lead
to a stronger gel network. More detailed investigations of the PLGA–PEG–PLGA
matrix interactions with polysaccharide-based excipients and the feasibility
of cross-linking these polysaccharides into the network for mechanical
reinforcement are underway and will be the subject of future reports.Additionally, the hydrogels tested in this study were well tolerated
in both animal models without any significant injection site reactions
(albeit some minor swelling issues in few animals), suggesting the
biocompatibility and biodegradability of these formulations. More
importantly, results in this report suggest the translation of the
controlled release potential of PLGA–PEG–PLGA hydrogel
systems in large animal models (i.e., minipigs), which is a valuable
complement to many existing reports in rodent models and of particular
interest to the field of diabetes treatment considering the many physiological
similarities between human and pig.[52] It
is anticipated that the translation of these technologies into the
pharmaceutical industries would be extremely valuable in disease areas
where repetitive injections may be required (e.g., diabetic therapies,
cancer immunotherapy, and ophthalmic delivery). Other critical considerations
are the feasibility for scalable industrial production and cost of
goods, especially for therapeutic areas like diabetes where the pricing
and manufacturing costs are most important given the large patient
population. With the advances in polymer chemistry and green synthesis,
it is envisioned that large-scale GMP manufacturing of these thermosensitive
polymers would be possible in an economically and environmentally
friendly fashion in the near future.[30]
Conclusions
In summary, we have investigated different
PLGA–PEG–PLGA
hydrogels to modulate the release kinetics of several biomacromolecules.
The hydrogels with two different LA/GA rations were studied at different
polymer concentrations. The particle size measurements revealed the
thermoresponsive behavior at different temperatures. The results from
these experiments were correlated with the rheological properties
by studying the gelation kinetics and gel strength. The 94/6 LA/GA
system with a 25% polymer concentration was found to be superior in
terms of optimum stability, gelation properties, and desired release
kinetics with minimal material content. Interestingly, we observed
that the release of biomacromolecular cargoes from hydrogels is not
only dependent on molecular diffusion but also significantly impacted
by the cargo solubility inside the gel matrix. Further characterization
of released biologics with CD spectra and SEC measurements showed
that the hydrogels can serve as a useful reservoir to protect the
biologics from denaturation or aggregation over the entire period
of release. Finally, the delivery efficacy of the selected hydrogel
was evaluated under two different in vivo systems to understand the
pharmacodynamics and pharmacokinetics of two therapeutically relevant
peptides. This study systematically investigates different PLGA–PEG–PLGA
hydrogel systems and correlate different structural and molecular
features of both hydrogel material and biologics cargoes. These results
offer insight into the rational design of developing long-acting hydrogel
formulations of protein therapeutics and suggest the potential of
these injectable thermoresponsive hydrogel systems to improve patient’s
comfort, convenience, and compliance with reduced therapeutic dose
and minimized dosing frequency.
Experimental
Section
Materials
Poly(lactic-co-glycolic acid)–b-poly(ethylene glycol)–b-poly(lactic-co-glycolic acid)copolymers
(PLGA–PEG–PLGA; LA/GA ratios 94:6 and 3:1; MW 1700–1500–1700
Da, research grade) were procured from Polyscitech (Akina Incorporated).
Sodium alginate (ALG, low viscosity), hyaluronic acid (HA, low molecular
weight), and hydroxypropyl methyl cellulose (HPMC) were purchased
from Sigma-Aldrich and Fisher Scientific. Insulin and bovine serum
albumin (BSA) were obtained from Sigma-Aldrich. Immunoglobulin G (IgG,
Human Plasma, MyBioSource) was purchased from Fisher Scientific. Merck
proprietary peptides A and B (glucagon-like peptide analogue and modified
insulin analogue) were synthesized internally. All chemicals were
used without any further purification unless otherwise mentioned.
General Procedure for Preparation of PLGA–PEG–PLGA
Hydrogels, Encapsulation, and Release of Protein Cargoes
Hydrogels with different concentrations of PLGA–PEG–PLGAtriblock copolymers were prepared with the following procedure. All
concentrations were reported in wt/vol percentages. Approximately
3 g of each polymer was weighed in 4 mL glass vials, and 10 mL of
phosphate-buffered saline (PBS) buffer (pH 7.4) was added to make
30% solutions. Next, the mixtures were stirred overnight at 4 °C
to ensure complete solubilization of the polymers. These stock solutions
were further diluted with an appropriate volume of PBS buffer (at
4 °C) to make 20 and 25% solutions. These solutions were referred
to as 94/6–20, 94/6–25, 94/6–30, and 3/1–25%,
respectively (abbreviated as LA/GA ratio–polymer concentration).For the preparation of hydrogel, 0.25 mL of the polymer solution
was taken in a glass vial. Subsequently, the vial was incubated in
a 37 °C incubator (with orbital shaking at 35 rpm) to trigger
the gelation process.For encapsulation of protein cargoes in
hydrogels, 5 mg of each
cargo molecule (insulin, bovineserum albumin, immunoglobulin G) was
weighed in a glass vial and added with 0.25 mL of polymer solution
(with varying concentrations) to obtain a drug-loading concentration
of 20 mg/mL. The mixture was stirred in ice for 1 h to ensure complete
mixing. Subsequently, it was incubated at 37 °C to trigger the
gelation. After 1 h of incubation at 37 °C (to ensure complete
gelation for all samples), 2.5 mL of PBS buffer (at 37 °C) was
slowly added as release media on top of the freshly formed hydrogel,
and this was further incubated at 37 °C (with previous conditions).
The hydrogel samples in vials were incubated in a 37 °C incubator
(with orbital shaking at 35 rpm). At a specific time interval, the
buffer with the released cargo molecule was completely withdrawn and
replenished with an equal amount of fresh PBS buffer.[11,13,25,26]
Preparation of Hydrogels in the Presence of
Polysaccharide Excipients
PLGA–PEG–PLGA hydrogels
containing different polysaccharide excipients (ALG, HA, and HPMC)
were prepared by mixing the appropriate amount of excipients with
the 25% polymer solutions (LA/GA ratio 94:6; referred to as 94/6–25%
ALG, 94/6–25% HA, and 94/6–25% HPMC, respectively).
The final concentrations of ALG, HA, and HPMC in the hydrogels were
0.75, 1, and 1%, respectively. For ALG, the amount is set to <1%
to avoid precipitation of the mixture after the addition of alginate
salt.
Dynamic Light-Scattering (DLS) Measurements
The particle size measurements were performed with a Malvern Nanozetasizer-ZS
instrument. The prepared polymer solutions (94/6–25 and 3/1–25%
without excipients) were diluted to a 1 mg/mL (0.1%) concentration
with PBS (pH 7.4) buffer and studied with DLS measurements at different
temperatures to study the gelation process from micellar solutions.
The samples were incubated at the desired preset temperatures (4,
10, 20, 30, and 37 °C) in the DLS instrument and equilibrated
for 1 h before subjecting to DLS measurements. The number, volume,
and intensity distribution data were obtained directly from the Malvern
Zetasizer software v7.13 (see the Supporting Information for details). Only volume percent data was normalized based on the
highest count value and is discussed in Figure .
Rheological Characterization
of Hydrogels
Rheological properties of the hydrogels were
performed on a stress-controlled
rheometer (ARES-G2, TA instruments) using a Peltier plate and a 1°
steel cone and plate geometry. In all cases, 0.4 mL of polymer solutions
(with and without excipients) were pipetted on top of the rheometer
plate and equilibrated for 5 min at 10 °C. The samples were covered
with solvent traps to minimize water evaporation during the experiment.
Next, the temperature of the Peltier was increased from 10 to 37 °C
to form in situ hydrogels. Dynamic oscillatory time sweeps were performed
to monitor the in situ gelation and mechanical properties of different
hydrogel compositions at angular frequencies of 6 rad/s and 1% strain
amplitude chosen from the linear viscoelastic region. The storage
or elastic modulus (G′) and loss or viscous
modulus (G″) were measured as a function time
at 37 °C.
Quantification of Protein
Release from Hydrogels
over Time
The protein release sample was collected from the
4 mL sample vials at predetermined time intervals at a 37 °C
incubation and stored at −20 °C until analyzed. Ultraperformance
liquid chromatography (UPLC) was employed to quantify insulin (MW
5.8 kDa, pI ∼ 5.3), and absorption studies (at 280 nm) in a
microplate reader were performed for BSA (MW 66.5 kDa, pI ∼
4.7) and IgG (MW 150 kDa, pI ∼ 5.5–8.3).
Biophysical Characterization of Released Protein
The
stability of protein cargoes released from hydrogels at different
time intervals was studied with size exclusion chromatography (SEC)
and circular dichroism (CD) spectroscopy.SEC was performed
on an Acquity H-Class UPLC (Waters) with protein BEH SEC 125 and 200
Å columns (1.7 μm, 4.6 mm × 300 mm). In a typical
experiment, 10 μL of protein sample was injected into a UPLC
and eluted with a 50 mM phosphate buffer containing 0.45 M l-arginine hydrochloride (pH 7) at a flow rate of 0.3 mL/min. The
detection of protein samples was performed with a UV detector (Waters
UV/visible detector 2489) at 280 nm. The chromatogram was analyzed
with the Empower 3 Chromatography Data Software.CD spectroscopy
of the released protein samples collected from
the hydrogel matrix was recorded on a JASCO J-715 spectrophotometer.
To record the spectra, 400 μL of sample solution was pipetted
in a quartz cuvette of 1 mm path length and scanned from 200 to 260
nm at 25 °C (scan rate: 10 nm/min, interval: 2 nm, average of
two spectra). The measurements were taken in triplicate, and the average
values were plotted as mean residue ellipticity.
In Vivo Delivery of Peptides through PLGA–PEG–PLGA
Hydrogels
Glucose-Lowering Experiments in Diabetic
Mice
All animal studies were approved by the Merck Institutional
Animal Use and Care Committee (IACUC). High-fat diet–streptozotocin-treated
(HFD/STZ) mice were generated in-house as previously described by
Mu et al.[54] Briefly, 16 weeks old humanized
glucagon receptormice (hGCGR)[55] from Taconic
Farm (Rensselaer, NY), previously fed for 8 weeks with 60% Kcal from
fat (HFD, D12492 Research Diets, New Brunswick, NJ), were dosed intraperitoneally
during three consecutive days with a low dose of streptozotocin (40
mg/kg, 5 mL/kg; Sigma-Aldrich, St. Louis, MO) formulated in sodium
citrate buffer at pH 4.5. To follow the induction of the disease,
blood glucose and body weight were measured weekly in fed state after
STZ treatment during 3 weeks before the peptide treatment. Animals
with similar degrees of hyperglycemia (250–400 mg/dL) and body
weight (∼40 g) were randomly divided into various vehicle or
compound treatment groups. The mice were maintained under controlled
conditions of lighting (12 h light/dark), temperature (23 ± 2
°C), and humidity (55 ± 15%) with access ad libitum to HFD.To study the glucose-lowering efficacy of hydrogel formulation
containing a glucagon-like peptide analogue (peptide A, 3.5 kDa, calculated
pI ∼8.3), the formulation was evaluated in high-fat diet/streptozotocin-induced
diabeticmice (HFD/STZmice in the fed state). Peptide A was loaded
at a concentration of 2 mg/mL in a 25% (w/v) polymer solution of PLGA–PEG–PLGA
(LA/GA ratio 94:6) in PBS. The formulation was injected once subcutaneously
(dose volume: 5 mL/kg, approximately 200 μL) in the mice (n = 5 per group), and the glucose level was measured with
a One-Touch Ultra Glucometer (LifeScan, Milpitas CA) by tail nick
at predetermined time points over the course of 72 h. Additionally,
peptide A dissolved in phosphate buffer solutions was also administered
subcutaneously as a control in a separate experiment with continuous
glucose monitoring over 72 h. All of the mice were kept under nonfasting
conditions with free access to food and water until the end of the
experiment. Statistical analysis on the glucose level was performed
by a two-way ANOVA Dunnett’s multiple comparison test (**P < 0.01 and ***P < 0.001) vs blank
hydrogel control. Mice were kept alive for future studies following
Merck IACUC guidelines for reuse of animals.
Pharmacokinetic
Experiments in Diabetic
Minipigs
All animal studies were approved by the Merck Institutional
Animal Use and Care Committee (IACUC). Male Yucatan minipigs (5–7
months of age) were rendered type 1 diabetic by Alloxan injections
following a proprietary protocol developed by Sinclair Research Center
(Auxvasse, MO). Induction was considered successful if basal glucose
levels exceeded 150 mg/dL. Minipigs used in these studies had plasma
glucose levels of approximately 300–400 mg/dL and were instrumented
with two jugular vein vascular access ports (VAPs). The animals were
maintained at Sinclair Research Center and their glucose levels, when
not in study, were controlled by the administration of insulin NPH
at the time of their meals. The animals were thus kept healthy and
remained in the colony for 3–5 years while being used in our
studies. After each study, the animals were allowed to recover for
at least 1 week prior to being re-enrolled in new studies.To
further evaluate the in vivo performance of these hydrogel formulations
in large animal models, an appropriate amount of modified insulin
peptide analogue (peptide B, 12 kDa, calculated pI ∼ 4.4) was
dissolved at a target concentration of 9 mg/mL in 25% (w/v) polymer
solution of PLGA–PEG–PLGA (LA/GA ratio 94:6) in PBS.
Then, approximately 1 mL (dose volume: 0.02 mL/kg) of the polymer
aqueous solution containing the peptide was subcutaneously injected
in type 1 diabetes mellitus (T1DM) Yucatan minipigs (n = 6, ∼50 kg) using a 25G needle. Similarly, peptide B dissolved
in phosphate buffer solutions was also administered subcutaneously
as a control in a separate experiment. Blood samples were collected
at predetermined time points over 24–168 h via the VAP in K3-EDTA
tubes, supplemented with 100 μg/mL aprotinin, and kept on ice
until processing, which occurred within 30 min of collection. After
centrifugation at 3000 rpm, 4°C, for 8 min, the plasma was collected
and pharmacokinetics (PK) of the peptide in the plasma was analyzed
using LC–mass spectrometry (LC–MS).
Authors: James Mu; Sajjad A Qureshi; Edward J Brady; Eric S Muise; Mari Rios Candelore; Guoqiang Jiang; Zhihua Li; Margaret S Wu; Xiaodong Yang; Qing Dallas-Yang; Corey Miller; Yusheng Xiong; Ronald B Langdon; Emma R Parmee; Bei B Zhang Journal: PLoS One Date: 2012-11-19 Impact factor: 3.240
Authors: Qianyu Lin; Valerie Ow; Yi Jian Boo; Vincent T A Teo; Joey H M Wong; Rebekah P T Tan; Kun Xue; Jason Y C Lim; Xian Jun Loh Journal: Front Bioeng Biotechnol Date: 2022-03-30