Frederik J Link1, Jerry Y Y Heng1,2. 1. Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K. 2. Institute for Molecular Science and Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K.
Abstract
One of the most crucial parameters in protein crystallization is pH, as it governs the protein's electrostatic interactions. However, the fundamental role of pH on crystallization still remains unknown. Here, we systematically investigated the crystallization of human insulin (isoelectric point 5.3) at various pHs between 6.0 and 6.7 at different supersaturation ratios, up to 20.9. Our results demonstrate that the pH has an opposing effect on solubility and nucleation rate as a shift in pH toward a more basic milieu increases the solubility by 5-fold while the onset of nucleation was accelerated by a maximum of 8.6-fold. To shed light on this opposing effect, we evaluated the protein-protein interactions as a function of pH by measuring the second virial coefficient and hydrodynamic radius and showed that a change in pH of less than one unit has no significant impact on the protein-protein interactions. As it is widely understood that the increase in protein solubility as a function of pH is due to the increase in the repulsive electrostatic interactions, we have demonstrated that the increase in insulin solubility and decrease in the onset of nucleation are independent of the protein-protein interactions. We hypothesize that it is the electrostatic interactions between both ions and solvent molecules and the protein residues that are governing the crystallization of human insulin. The findings of this study will be of crucial importance for the design of novel crystallization pathways.
One of the most crucial parameters in protein crystallization is pH, as it governs the protein's electrostatic interactions. However, the fundamental role of pH on crystallization still remains unknown. Here, we systematically investigated the crystallization of human insulin (isoelectric point 5.3) at various pHs between 6.0 and 6.7 at different supersaturation ratios, up to 20.9. Our results demonstrate that the pH has an opposing effect on solubility and nucleation rate as a shift in pH toward a more basic milieu increases the solubility by 5-fold while the onset of nucleation was accelerated by a maximum of 8.6-fold. To shed light on this opposing effect, we evaluated the protein-protein interactions as a function of pH by measuring the second virial coefficient and hydrodynamic radius and showed that a change in pH of less than one unit has no significant impact on the protein-protein interactions. As it is widely understood that the increase in protein solubility as a function of pH is due to the increase in the repulsive electrostatic interactions, we have demonstrated that the increase in insulin solubility and decrease in the onset of nucleation are independent of the protein-protein interactions. We hypothesize that it is the electrostatic interactions between both ions and solvent molecules and the protein residues that are governing the crystallization of human insulin. The findings of this study will be of crucial importance for the design of novel crystallization pathways.
Protein-based biological
products have emerged as the next-generation
of pharmaceuticals owing to their high selectivity toward their target
and high potency with increased safety, efficacy, and tolerability
in humans.[1,2] Crystallization of these proteins is mainly
carried out to obtain structural data, which is needed for protein
engineering, understanding structure–activity relationships,
or for pharmaceutical formulations. Due to the complexity of proteins
and the limited understanding of the underlying physico–chemical
interactions, such as hydrogen bonding, electrostatic, and hydrophobic
interactions between the protein molecules, as well as between proteins
and other solvent molecules or ions in solution, the designing of
suitable crystallization pathways relies on intensive screening and
trial-and-error approaches.[3,4] Not only the magnitude
but also the orientation of these interactions is crucial in successful
protein crystallization.[5−7] Nucleation is the critical and
rate-limiting step of the crystallization process, which is affected
by both thermodynamic and kinetic factors.[8,9] While
more than 30 different factors have been reported to impact nucleation,[4] the most known factors are temperature,[10] solution pH,[6,7,11] type and concentration of salt[12,13] or additives,[14] and degree of supersaturation.[15] A common crystallization pathway is salting-out,
in which buffer concentration or salt type is changed[11,12,16] or even additional salts are
added.[13,17,18] This results
in the disruption of the water structure around the protein’s
surface leading to a facilitated crystallization. Salting-out is not
always a feasible approach to obtain protein crystals, hence, additives
or organic solvents[11,19,20] have been found to successfully enhance protein crystallization
by stabilizing the protein and successfully disturbing the water layer
in the vicinity of the protein’s surface. Understanding the
underlying mechanism of protein crystallization has been the focus
of research for years, and both computational and experimental approaches
have been developed to shed light on how these factors impact crystallization.[13,17,19−23]Being one of the most important crystallization
factors, the pH
of the crystallization cocktail prior to crystallization is quite
often not measured, inaccurately determined, or not even reported.
This lack of sufficient information on the pH of the crystallization
cocktail stems from the small volume (∼μL) in which crystallization
is normally executed for protein crystallography, which does not allow
the measurement of the pH in the crystallization cocktail (e.g., after
mixing the protein solution, precipitant solution, additional solvent,
or additive solution). Quite often, the pH of the final crystallization
cocktail is different from the pH of the stock protein solution because
the addition of additives, precipitants, or additional solvents impacts
the pH.[11,20]However, the overall determination
of the pH of the crystallization
cocktail is crucial, as it modulates the net surface charge on the
protein’s surface and therefore dictates the strength of the
Coulombic forces between the protein molecules.[6] In addition, the pH also governs the strength of electrostatic
interactions between the protein and solvent molecules as well as
additives and ions present in the solution. A good example is the
relationship between the isoelectric point (pI) of the protein and
the solution pH in correlation to the Hofmeister series. While the
order of salts in the Hofmeister series (SO42– > PO42– > Ac2– >
citrate3– > Cl– > NO3–) is only valid for acidic proteins (pI
< pH
7, e.g., collagenase) that are crystallized at pH greater than the
pI (pH > pI), for basic proteins (pI > pH 7, e.g., lysozyme),
the
Hofmeister series follows a reversed order when the crystallization
pH is below the protein’s pI (pH < pI).[24] Statistical analysis of nearly ten thousand unique protein
crystal forms has revealed that for basic (acidic) proteins, a buffer
pH below (above) the pI has the highest likelihood for successful
crystallization and vice versa.[25,26] Additionally, investigation
of the nucleation and growth rate of the basic protein lysozyme (pI
= 10.7) or the acidic protein insulin (pI = 5.3) has revealed that
a shift toward a more acidic (for lysozyme) or basic (for insulin)
solution pH enhances the nucleation and growth rate.[7,11,20,27,28] Recently, it has been shown that insulin
crystallization can be enhanced significantly with the addition of
the basic amino acid arginine.[20] The deprotonation
of arginine leads to a pH shift toward a more basic pH, thereby, significantly
enhancing the crystallization of insulin.Thus far, limited
work has been done in investigating the role
of pH on human insulin crystallization, for example, only on the crystallography
scale (∼μL) and only with the interference of other changing
properties, such as salt type or co-solvent.[11,25,28−30] However, no previous
experimental study has investigated the influence of only the pH at
scales of milliliters and without interference of other changing properties
in order to derive the crystallization kinetics. In this study, crystallization
of insulin over a range of pH from 6.0 to 6.7 and supersaturation
ratios of up to 20.9 was carried out. Human insulin was selected because
its crystallization is induced by a pH change and therefore it is
extremely pH-sensitive. In addition to evaluating the crystallization
kinetics as a function of pH, we investigated the pH dependence of
the protein–protein interactions by measuring the second virial
coefficient and hydrodynamic radius.
Experimental
Section
Materials
All materials were used as received from
the supplier without further purification or treatment unless otherwise
stated. Human insulin stock solution (10.8 mg·mL–1 in 25 mM HEPES buffer, sterile-filtered, BioXtra, CAS number: I9278),
zinc–sulfate (>99% purity), zinc chloride (>98% purity),
zinc
acetate (>99% purity), citric acid buffer components, and methylene
blue solution were purchased from Sigma-Aldrich (UK). Eppendorf tubes
(polypropylene) were purchased from FischerScientific (UK).
Insulin
Crystallization
Human insulin crystallization
was carried out at volumes of 1.5 mL in Eppendorf tubes under static
conditions at a constant temperature of 24.0 ± 0.1 °C. Precise
temperature control was achieved by using incubators held at a constant
temperature. Citric acid buffer (0.1 M) was prepared at different
pH levels by varying the ratio between citric acid and tri-sodium
citrate. The pH was determined using a Jenway 4330 pH and conductivity
meter (Jenway, UK) with an instrument resolution of around ±0.02
pH units. Zinc sulfate (ZnSO4), zinc chloride (ZnCl2), or zinc acetate (ZnAc) were dissolved in citric acid buffer
as a zinc salt stock solution. Because the purchased human insulin
(CAS: I9278) is dissolved in 25 mM HEPES buffer, the amount of 25
mM HEPES buffer added was kept constant. To achieve a higher insulin
concentration in the stock solution, the insulin solution was concentrated
using an Amicon Ultrafiltration Unit with 3000 Da cut-off membranes
(Merck, Germany). The zinc concentration in the final crystallization
cocktail was adapted to the initial insulin concentration according
to the molar ratio of the insulin monomer to Zn2+: c̃insulin monomer/c~Zn = 0.137 because
it is beneficial to use more zinc than the stoichiometric ratio.[31] The final crystallization cocktail was achieved
by mixing citric acid buffer, zinc salt stock solution, insulin solution,
and HEPES buffer, which was then filtered with a 0.22 μm pore
filter (PTFE membrane syringe filters, VWR, UK) immediately after
mixing. The crystallization cocktail always has the following composition:
73 mM citric buffer, 7 mM HEPES buffer, 1 mM to 8.2 mM Zn2+, and 0.80 mg·mL–1 (0.14 mM) to 7.02 mg mL–1 (1.21 mM) human insulin. A detailed summary of the
experimental condition probed is given in Table . Each experimental condition was repeated
multiple times, and the error bars represent the deviation between
these repetitions. The desupersaturation (crystallization occurs and
the solution concentration decreases) was monitored by measuring the
UV–vis absorption at a wavelength of 280 nm with a NanoDrop
Onec microvolume UV–vis spectrophotometer (Thermo
Fischer Scientific, USA). A sample as small as 10–20 μL
was withdrawn from the crystallizer (Eppendorf tube) and was centrifuged
(6000 rpm, 10–20 min). The supernatant (∼10 μL)
was further diluted, and the insulin concentration of the diluted
supernatant was measured with UV–vis absorption. An extinction
coefficient of 1.04 mL·mg–1·cm–1 was utilized.[32] Multiple dilutions for
every sample were made to minimize dilution errors. The crystal slurry
which remained in the centrifuged sample was observed underneath an
optical microscope (CX-41, Olympus, Japan) to confirm that the decrease
in concentration is because of crystallization and not due to other
phenomena, such as amorphous precipitation.
Table 1
Summary
of Experimental Conditions
Probed for Insulin Crystallization
pHa
cins,t=0 / mg·mL–1
Sins,t=0b/ –
zinc salt utilized
c̃Zn2+,t=0 / mM
6.0
0.80–3.01
5.6–20.9
ZnSO4
1.0–3.5
6.2
1.08–2.99
5.7–15.8
ZnSO4
1.3–3.5
6.5
2.28–6.49
5.6–15.9
ZnSO4
2.7–7.6
6.7
3.02–7.02
4.2–10.0
ZnSO4, ZnCl2 or ZnAc
3.5–8.2
The pH of the crystallization
cocktail
after mixing all solutions.
Supersaturation was calculated based
on the solubility shown in Figure .
The pH of the crystallization
cocktail
after mixing all solutions.Supersaturation was calculated based
on the solubility shown in Figure .
Figure 3
Insulin
solubility as a function of pH with the addition of ZnSO4 at 24.0 °C.
Crystallization
Data Analysis: Induction Time, Solubility, and
Crystal Yield
After supersaturation was achieved at time
zero, a period of time usually elapses until a substantial desupersaturation
occurs. This lag time is commonly termed as induction time.[33] We found the induction time graphically by finding
the intersection between the tangents of the point of inflection (tangent
of the biggest gradient after the solution concentration dropped substantially)
and the initial concentration (which stays constant until the solution
concentration drops substantially). A graphical visualization and
a detailed definition and justification of induction time can be found
in the Supporting Information. As insulin
crystallizes, the solution desupersaturates and eventually reaches
its equilibrium with the solid (crystal) phase. The concentration
of insulin when the equilibrium was reached is the equilibrium concentration,
also known as solubility c* (eq )To investigate the impact
of the solution
pH, insulin crystallization was carried out under static conditions.
However, mass transport of insulin molecules is very limited due to
the small diffusion coefficient. To ensure that the true solubility
concentration was measured, the samples were gently mixed frequently
with pipettes once the crystallization experiment had finished. The
crystallization experiment was assumed to be finished if the insulin
concentration did not change significantly within a minimum of 12.0
h. Once the concentration had stabilized, that is, no significant
change over multiple days, this concentration was taken as solubility.
To ensure that the solubility was reached, the concentration was monitored
over a time of 4 weeks. Within 4 weeks all samples reached their equilibrium.The crystal yield was calculated to evaluate the performance of
crystallization. The crystal yield is defined as the percentage of
insulin crystalized with respect to the initial supersaturation ratio
(eq ). The yield can
be either expressed in terms of concentration or supersaturation ratio,
which is S = c/c* for an
ideal solution with S at time zero.Where, c is
the
initial insulin concentration at t = 0 and c is the insulin concentration
at t > 0. The maximum yield achievable is , that is, the yield obtained
when the solid
and liquid phase reached their equilibrium (c*).
Dynamic and Static Light Scattering
Dynamic light scattering
(DLS) was carried out to measure the diffusion coefficients and the
hydrodynamic radii of insulin in citric acid buffer at different pHs,
insulin concentrations, and different zinc salts. The solutions were
prepared identically to the crystallization solutions which have been
described previously. The solutions were filtered with a 0.22 μm
pore size filter into a disposal cuvette (polystyrene) which then
was loaded into a Zetasizer μV (Malvern, UK). The measurement
was taken immediately after filtration to avoid measuring insulin
crystals which will form over time. The polydispersity index was lower
than 0.10 which indicates reliable measurements.The second
osmotic virial coefficient (B22), as a measurement of all
possible pair interaction forces of insulin, was obtained by static
light scattering which was carried out with a Litesizer 500 (Anton
Paar, Austria). The procedure was identical to the DLS experiments,
but instead of disposable cuvettes, a quartz cuvette was utilized.
After each run, the quartz cuvette was carefully washed with deionized
water, ethanol, and IPA followed by drying to remove any impurities
and dust before further usage for the next sample. A solvent refractive
index of 1.3304 and a refractive index increment of Δn/Δc = 0.183 were utilized.[34] The second virial coefficient was obtained by
using Debye plots at low protein concentration (≤ 3 mg·mL–1). The median light scattering intensity (Kc/Rθ) is plotted over
the insulin concentration, and with eq , the B22 (slope of linear fit) and molecular
weight (1/intercept) are derived.where K is a system constant, Rθ is the Rayleigh ratio, c is the
protein concentration, and MW is the molecular
weight.
Results
Desupersaturation of Insulin
To form the rhombohedral
crystal shape, insulin must be assembled in its hexametric form which
can be achieved with the addition of zinc salts. Thereby, two Zn2+ ions coordinate the His10 residues of three insulin dimers
to form the hexametric unit. Here, we investigated the impact of different
zinc anions (Cl–, SO42–, or Ac2–) at a fixed concentration of 3.5 mM on
the crystallization of insulin to screen for the most promising salt
in enhancing crystallization (Figure ). While the addition of salts did not change the pH
nor the solubility (see Table ), the fastest desupersaturation was observed when ZnSO4 is added compared to ZnCl2 or ZnAc while there
is no significant difference in desupersaturation between the latter
two (Figure ). Adding
ZnSO4 results in the shortest induction time (19.5 ±
2.0 h) compared to the addition of ZnCl2 (23.5 ± 0.5
h) or ZnAc (23.0 ± 0.5 h).
Figure 1
Desupersaturation curve for insulin in
the presence of different
zinc salts with concentrations of 3.5 mM at pH 6.7 and 24.0 °C.
Table 2
Solubility and Diffusion Coefficient
of Insulin as a Function of the Zinc Anion Type at 24.0 °Ca
anion
pH / –
insulin equilibrium concentration / mg·mL–1
diffusion coefficient / 10–6 cm2·s–1
SO42–
6.7
0.70 ± 0.03
0.86 ± 0.8·10–3
Cl–
6.7
0.67 ± 0.09
0.87 ± 0.5·10–3
Ac2–
6.7
0.67 ± 0.04
0.87 ± 0.1·10–3
The diffusion coefficient
was measured
at cins = 3 mg·mL–1.
Desupersaturation curve for insulin in
the presence of different
zinc salts with concentrations of 3.5 mM at pH 6.7 and 24.0 °C.The diffusion coefficient
was measured
at cins = 3 mg·mL–1.After nucleation has
occurred, it seems that the zinc salt does
not have any impact on the crystallization rate, that is, the change
in supersaturation or yield over time (e.g., dS/dt or dY/dt), as the change
in insulin desupersaturation after roughly 35.0 h is similar. For
the addition of ZnSO4, the insulin crystallization rate
is 0.06 h–1 [1.63 mg·mL–1 at 39.0 h (S =
2.3) to 1.43 mg·mL–1 at 44.0 h (S = 2.0)], while for ZnCl2, the crystallization rate is 0.07 h–1 [1.68 mg·mL–1 at 44.0 h (S = 2.5) to 1.43 mg·mL–1 at 50.0
h (S = 2.1)]. Similar
to the crystallization rates, no differences in growth rates were
observed (dS/dt is similar for all
salts between 74.0 and 90.0 h).As ZnSO4 led to the
fastest desupersaturation, it was
utilized for the further investigation of pH on insulin crystallization.
To obtain the induction time, crystal yield, and solubility as a function
of pH, the desupersaturation was measured over time at different pH
with the addition of ZnSO4 (Figure ). As described in the methods, the Zn2+ concentration was adjusted to the insulin concentration.
A decrease in pH of less than one unit (pH 6.7 to 6.0), by keeping
the initial insulin concentration constant, results in a faster desupersaturation,
representing a faster crystallization, as the concentration drops
after 4.0 h at pH 6.0 compared to 19.5 h at pH 6.7 and a quasi-equilibrium
concentration can be reached four times faster (roughly 20.0 h at
pH 6.0 compared to 80.0 h at pH 6.7). The achieved equilibrium concentration,
also known as equilibrium solubility, decreases with decreasing pH.
To confirm the occurrence of crystallization and not any other forms
of precipitation, we monitored the supernatant after centrifugation
with an optical microscope and observed well-built rhombohedral insulin
crystals (see Supporting Information Figure
S1).
Figure 2
Insulin desupersaturation curves at different pH with an initial
insulin concentration of 3 mg·mL–1 (S = 20.9 at pH 6.0 to S = 4.2 at pH 6.7) and a
ZnSO4 concentration of 3.5 mM at 24.0 °C.
Insulin desupersaturation curves at different pH with an initial
insulin concentration of 3 mg·mL–1 (S = 20.9 at pH 6.0 to S = 4.2 at pH 6.7) and a
ZnSO4 concentration of 3.5 mM at 24.0 °C.
Insulin Solubility as a Function of pH
From Figure , the insulin solubilities
at different pHs can be derived (see Figure ). Measuring the
concentration periodically after crystallization has finished, it
was found that after 2–3 weeks the concentration did not change
anymore. Additionally, the pH was measured and in the very rare case
of a significant change in pH, <1% off all experiments, these experiments
were consequently discarded. The solubility of insulin increases with
increasing pH from 0.14 mg·mL–1 at a pH of
6.0 to 0.70 mg·mL–1 at a pH of 6.7 which is
a 5-fold increase in solubility by a pH change of less than one pH
unit. The solubility follows a nonlinear trend and highlights that
a small pH change such as 0.2 units can increase the solubility by
roughly 70% (cpH=6.5* = 0.41 mg·mL–1 → cpH=6.7* = 0.70 mg·mL–1). Our obtained solubility
values are in good agreement with solubility concentrations reported
in the literature (0.15 to 0.18 mg·mL–1 at
a pH around 6.2[35−38]). We observed a nonlinear trend of the increase in insulin solubility
with increasing pH which is as expected as the solubility of insulin
is the lowest around its pI, which is around 5.3 for human insulin
and increases with increasing or decreasing pH. This nonlinear correlation
between pH and solubility is corroborated by solubility studies of
other proteins.[4,39,40] We also monitored the solution over time and always observed crystals,
which confirms that insulin is stable in the utilized condition.Insulin
solubility as a function of pH with the addition of ZnSO4 at 24.0 °C.
Impact of Supersaturation
and pH on the Crystallization Rate
of Insulin
To evaluate the impact of pH and consequently
the net surface charge on insulin crystallization, crystallization
experiments at different pHs and initial supersaturation ratios (S) were carried out. Figure displays the desupersaturation
(left) and crystal yield (right) over time for insulin at three distinct
initial supersaturation ratios (S = 5.6 ± 0.1, 7.4 ± 0.1, and 10.0 ± 0.1) and
four solution pHs (pH = 6.0, 6.2, 6.5, and 6.7). Keeping the pH constant
and increasing the initial supersaturation, the insulin concentration
decreases faster over time, resulting in a steeper desupersaturation,
and therefore an increased crystallization rate, that is, the change
in supersaturation or yield over time (e.g., dS/dt or dY/dt). For example,
at pH 6.7 and S =
5.7 the concentration decreases from 3.90 mg·mL–1 at 12.0 h (S =
5.6) to 1.36 mg·mL–1 at 41.0 h (S = 1.9) resulting in dS/dt ≈ ΔS/Δt = 0.13 h–1. At pH 6.7 and S = 10.0, the concentration decreases
from 6.90 mg·mL–1 at 1.3 h (S = 9.8) to 1.37 mg·mL–1 at 26.0 h (S = 2.0) resulting in ΔS/Δt = 0.32 h–1. The same trend can be observed
for the crystallization rates at the other pH values. On the other
hand, the crystallization rate increases with increasing pH at a constant
supersaturation ratio. For instance, at S = 10.0, the crystallization rate increases from
0.18 to 0.32 h–1 with an increase in pH from 6.0
to 6.7. Additional calculations and values of the desupersaturation
rates (ΔS/Δt) can be
found in the Supporting Information.
Figure 4
Desupersaturation
curve (left) and obtained crystal yield (right)
for insulin crystallization at various supersaturation ratios and
pH at 24.0 °C. The average pH values are 6.0, 6.2, 6.5, and 6.7.
Desupersaturation
curve (left) and obtained crystal yield (right)
for insulin crystallization at various supersaturation ratios and
pH at 24.0 °C. The average pH values are 6.0, 6.2, 6.5, and 6.7.Because the initial supersaturation for different
pH was kept constant,
the maximum yield achievable (Y*) is independent
of the pH. First, with increased supersaturation the t50% (time required to achieve a yield of 50%) decreases
from 128.0 to 39.0 h (pH 6.0) and from 31.0 to 3.5 h (pH 6.7) when
the initial supersaturation ratio is increased from 5.6 to 10.0 (see Supporting Information, Figure 3). This is expected
because a higher initial supersaturation leads to faster desupersaturation
due to the increased nucleation rate and faster crystal growth rate.
On the other hand, the t50% decreases
from 128.0 to 31.0 h (S = 5.6) and from 39.0 to 3.5 h (S = 10) if the pH is increased (6.0 → 6.7) and the
initial supersaturation ratios are kept constant at 5.6 and 10.0 respectively.Besides investigating the impact of solution pH and initial supersaturation
ratio on crystal yield and desupersaturation rate, the impact on induction
time was also evaluated. Here, we define induction time as the time
period until a substantial decrease in insulin concentration was observed
(see Supporting Information for detailed
explanation). Figure shows the obtained induction times as a function of initial supersaturation
or H+ concentration. At a constant pH, the induction time
decreases with increasing supersaturation. An increase in the initial
supersaturation ratio from 5.6 to 10.0 results in a reduction in induction
time by 67% (e.g., 81.0 to 26.5 h), 75, 77, and 79% for pH 6.0, 6.2,
6.5, and 6.7, respectively. It seems that at a more basic pH the magnitude
in induction time reduction is greater (e.g., 67% at pH 6.0 compared
to 79% at pH 6.7). From the pH the H+ concentration in
the solution can be calculated with c̃H = 10–pH, assuming that the
solution behaves as an ideal solution. The induction time decreases
with decreasing H+ concentration at a constant initial
supersaturation ratio (Figure ), meaning a more basic milieu is more beneficial for insulin
crystallization. Reducing the H+ concentration in solution
from 1.0 × 10–6 M (pH 6.0) to 2.0 × 10–7 M (pH 6.7) results in a decrease in induction time
by roughly 81% at S = 7.4 and 88% at S = 10.0. It seems that the relationship between induction time and
H+ concentration is linear.
Figure 5
Induction time of insulin
crystallization as a function of the
initial supersaturation ratio at constant pH (top) and as a function
of H+ concentration in solution at a constant initial supersaturation
ratio (bottom) at 24.0 °C.
Induction time of insulin
crystallization as a function of the
initial supersaturation ratio at constant pH (top) and as a function
of H+ concentration in solution at a constant initial supersaturation
ratio (bottom) at 24.0 °C.A low supersaturation is required for solely crystal growth to
occur. A crystal yield of 85% represents a supersaturation ratio of
1.5 and is achieved after 87.0, 83.0, 61.0, and 58.0 h for S = 10.0 at pH of 6.0, 6.2,
6.5, and 6.7, respectively. The desupersaturation rates after a yield
of 85% was achieved were 0.03, 0.01, 0.07, and 0.02 h–1. It seems that the rate at which the concentration decreases and,
hence, the yield increases, is independent of the pH and the initial
supersaturation. The similar rates in desupersaturation over time
indicate that the growth rate is independent of the pH.To shed
light on the mass transfer under static conditions, the
diffusion coefficient (D) of insulin was measured
(Figure ). The diffusion
coefficient seems to be independent of the solution pH and anion type
(Table ) and overall
decreases with increasing insulin concentration (e.g., from 0.99 ×
10–6 to 0.86 × 10–6 cm2·s–1 at a pH of 6.0). The decreasing
diffusion coefficient with increasing protein concentration and the
independence of the pH agrees with diffusion coefficient studies of
hen egg-white lysozyme.[26] While the diffusion
coefficient is directly derived from the correlation function, the
hydrodynamic radius (RH) is calculated
from the diffusion coefficient with the Stokes–Einstein equation
(RH ∝ D–1). Hence, a decrease in diffusion coefficient results in an increase
in hydrodynamic radius (Figure ). We studied the hydrodynamic radius over time prior to crystallization
to confirm that insulin is solely in its hexametric form prior to
crystallization throughout all experiments, as we only observed a
monomodal intensity distribution with a polydispersity index of less
than 0.10. This also confirms that no aggregation occurs during the
DLS measurements.[31,41]
Figure 6
Hydrodynamic radius and diffusion coefficient
of insulin at different
solution pHs as a function of concentration at 24.0 °C.
Hydrodynamic radius and diffusion coefficient
of insulin at different
solution pHs as a function of concentration at 24.0 °C.
Discussion
Role of Anions in the Crystallization
of Insulin
It
is well known that metal ions are required to form the more stable
and crystallizable insulin hexamer.[42−44] Here, we studied the
impact of different types of zinc salt on the crystallization kinetics
of human insulin. Zinc chloride, zinc sulfate, or zinc acetate are
commonly used as zinc-providing salts and have therefore been selected.[11,20,45] As the addition of ZnSO4 led to the shortest onset of nucleation compared to the addition
of ZnCl2 or ZnAc it seems that insulin crystallization
with the addition of SO42–, Ac2– or Cl– follows the Hofmeister series, that is
SO42– > PO42– > Ac2– > citrate3– >
Cl– > NO3– for negatively charged
proteins.[13] Because the insulin solubility
is independent
of the zinc salt type added, we hypothesize that SO42– is more kosmotropic and, hence, promotes salting-out
compared to Ac2– or Cl–. All three
zinc salts lead to the formation of the rhombohedral crystal shape,
and no change in size was observed (see Figure ). Additionally, it has been shown that the
accommodation of insulin hexamers within the crystal differs between
a variety of conformations, such as T6, T3R3, and R6. The R6 conformation is obtained
if phenol and Cl– (e.g., in the form of ZnCl2) are added, the T3R3 is obtained if
only Cl– is added and the T6 conformation
is obtained if neither phenol nor chloride is added (e.g., ZnSO4).[44,46−48] While the chloride
anions are coordinated around the Zn2+ ions and HisB10
residues in the crystal lattice, the sulfate anions are not incorporated
into the crystal resulting in R6 and T3R3 being more compact than the T6 conformation.[49] The less compact crystal configuration with
the addition of SO4 could be a result of a faster nucleation.
Ultimately, we conclude that the choice of the anion helps promote
insulin crystallization as we found that SO42– is a stronger kosmotropic salt compared to Cl– or Ac2–. The impact of the anion on crystallization
is supported by studies on the crystal conformation as Cl– or SO42– lead to different crystal
conformations.
Figure 7
Insulin crystals with the addition of ZnCl2 (left),
ZnAc (middle), or ZnSO4 (right) at 24.0 °C. Images
were taken after 90.0 h. Scale bar is for all images.
Insulin crystals with the addition of ZnCl2 (left),
ZnAc (middle), or ZnSO4 (right) at 24.0 °C. Images
were taken after 90.0 h. Scale bar is for all images.
Insulin Solubility
By increasing solution pH (pH 6.0
→ 6.7), the net surface charge of insulin becomes more negative
due to deprotonation of some of the residues as the pI of insulin
is around pH 5.3. It is well known that at low solubilities, an increase
in solubility correlates with an increase in repulsive electrostatic
protein–protein interactions.[17,50,51] However, this contradicts our initial findings on
the hydrodynamic radius which is independent of the solution pH (see Figure ) at insulin concentration
of 3 mg·mL–1 and hence indicates that the change
in solubility is not correlated to a change in protein–protein
interactions. To prove this, we experimentally determined the second
virial coefficient (B22) at different solution pH (see Figure and Table ). The obtained B22 seems to be independent of the pH as, with the exemption of pH 6.2,
the B22 increases by 0.2·10–4·mL·mol·g–2 from pH 6.0–6.7. Although it has been shown
that even a small change in B22 (ΔB22 =
1.0·10–4·mL·mol·g–2) could lead to a two-fold increase in solubility,[50−53] our findings show a solubility
increase of 5 folds while the B22 changes by 0.2·10–4 mL·mol·g–2 from pH 6.0
to 6.7. Due to the small change in B22 and the significant
change in solubility, we suspect that the increase in solubility is
due to a stronger and further-reaching hydrogen network between the
negatively charged insulin hexamers and the water molecules in the
hydration shell resulting in stronger solvation. Recent research on
the impact of electrostatic interaction between proteins supports
our hypothesis.[6,17]
Figure 8
Intensity of scattered light (Kc/Rθ) as a function of
insulin concentration for different
solution pH at 24.0 °C. An average molecular weight of 32.7 kDa
for the insulin hexamer was found.
Table 3
Dependency of the Second Virial Coefficient,
Obtained from Figure , and the Derived Activity Coefficient of Insulin of Solution pH
at 24.0 °C
pH / –
B22 / mL·mol·g–2
γ / –
6.0
–4.23 × 10–4
0.99
6.2
–2.47 × 10–4
0.99
6.5
–4.18 × 10–4
0.98
6.7
–4.0 × 10–4
0.96
Intensity of scattered light (Kc/Rθ) as a function of
insulin concentration for different
solution pH at 24.0 °C. An average molecular weight of 32.7 kDa
for the insulin hexamer was found.To justify the assumption
of an ideal equilibrium between the crystals
and the solution, we calculated the activity coefficient (γ) from the B22 with eq ,[50] where MInsulin is the molecular weight of an insulin
hexamer because, in the presence of Zn2+ ions, insulin
is solely present in its hexametric form (see results on hydrodynamic
radius). From the Debye plot, we obtained an insulin hexamer molecular
weight of 32.7 kDa, which is close to the reported value of 34.9 kDa
for recombinant human insulin.The lowest obtained activity coefficient is 0.96 for the highest
pH 6.7 (see Table ), which is ≈1 and hence justifies the assumption of an ideal
solution (S = c/c*).
Impact of pH on Induction Time and Crystallization Rate
We found that with increasing supersaturation ratio at a constant
pH or with increasing pH at a constant supersaturation ratio, the
induction time decreases, representing an increase in nucleation rate
(J) because the induction time is directly proportional
to the reciprocal of the nucleation rate (J ∝ tind–1).[33] The nucleation rate as a function
of supersaturation for an ideal solution can be expressed with the
classical nucleation theory according to Mullin, Vekilov, and Schall
(see eq ).[22,33,54] However, it must be stated that
detecting the onset of nucleation is challenging and often can be
detected at considerable times after the very first nucleus appeared.
Hence there is always a bias toward the parameter A and B derived
from induction time measurements that stems from the resolution and
accuracy of the applied analytical technique. As our objective was
to obtain a relativity between the parameter A and B for homogeneous
nucleation and the pH and not an absolute value, we demonstrated that
(J ∝ tind–1) is valid for the evaluation
of A and B from our obtained desupersaturation curves (see Supporting Information for detailed discussion
on induction time and validation). Consequently, our first observation
of increased nucleation rate is due to an increased protein concentration
and consequently supersaturation ratio.where tind is
the induction time, V is the volume of solution, A is a parameter describing the molecular attachment kinetics, B is related to the nucleation barrier which must be overcome,
and n0 is the insulin hexamer number density
as this is the crystallizing species. The number density is directly
proportional to the concentration of insulin hexamers. An interesting
point here is that the reduction in induction time with increasing
initial supersaturation also increases with increasing pH (see the
shift in induction time decrease from 67 to 79% if the pH is increased
from 6.0 to 6.7). This indicates increased facilitation in crystallization
when a more basic pH is chosen for an acidic protein such as human
insulin.Second, shifting the pH toward a basic milieu at a
constant supersaturation increases the nucleation rate. To prove that
a more basic pH enhances the nucleation rate, we plotted ln(J/n0) versus ln(S)−2 to obtain the concentration-independent values
for the parameter A and B for homogeneous nucleation (see Supporting Information for detailed derivation
and explanation). While B does not change with increasing pH, we found
that A increases slightly by 14% from pH 6.0 to 6.5 (see Figure ), indicating a more
basic pH favors insulin crystallization which agrees with similar
studies on the salting-out of lysozyme.[54] However, the parameter A is a complex parameter that depends on
the attachment and mass transport kinetics, and it has been shown
that it is often not suitable to lump the kinetics in protein crystallization
in one parameter.[22] It was not possible
to obtain A and B for pH 6.7, as this would require an initial insulin
concentration of >11.8 mg·mL–1, which was
not
able to be achieved with centrifugation. Additionally, it must be
stated that a significant contribution to the faster nucleation at
higher pH is due to the higher insulin hexamer number density (insulin
concentration). In addition to describing the role of pH on the nucleation
behavior of insulin with a classical nucleation approach, we studied
the protein–protein interactions. Our results show that the
protein–protein interactions are independent of the pH, as
neither RH nor B22 changes with changing pH
(see Figures and 8), and consequently, the increase in nucleation
rate is not due to enhanced attractive interactions. The independence
of the protein–protein interactions on the pH also proves that
no ionic shielding of the protein’s surface in solution occurs,
as this would have resulted in a decrease in repulsive interactions
(e.g., decreased B22 or increased RH), which
we did not observe. Therefore, we think it is the stronger interaction
between water molecules and protein surfaces in combination with ions
in solution that leads to an increase in the hydrogen bond strength
between the water molecules in the hydration layer and the residues
on the insulin surface that ultimately results in an enhanced crystallization.
It is well recognized that the electrostatic interaction between the
protein’s residue and the water molecules, and the resulting
water structuring around the protein’s surface, plays a major
role in protein dynamics[55,56] and crystallization.[6−8,57] In the case of human insulin,
acetone has been shown to destroy the shell of structured water around
the insulin molecules. This disruption in the shell of structured
water led to a 5 times greater kinetic growth coefficient.[35,36] Hence, we attribute the faster nucleation at constant supersaturation
to a change in water structuring around the insulin’s surface
due to the change in net negative surface charge. For the basic protein
lysozyme, a similar effect was found when the pH was lowered, from
5.2 to 4.0.[28]
Figure 9
Estimated parameter A
and B of the classical nucleation equation
(eq ) for homogeneous
nucleation as a function of pH at 24.0 °C. For discussion, see
text and derivation in Supporting Information.
Estimated parameter A
and B of the classical nucleation equation
(eq ) for homogeneous
nucleation as a function of pH at 24.0 °C. For discussion, see
text and derivation in Supporting Information.The desupersaturation profile
and crystal yield were chosen to
evaluate the impact of the initial supersaturation and solution pH
on the crystallization rate of insulin. We showed that the crystallization
rate increases with increasing pH and that the same yield can be achieved
within a shorter time (shifts to lower times if the pH is increased).
After the first nucleation occurs, secondary nucleation will occur
and will overlap with crystal growth leading to a fast desupersaturation.
Hence, it is difficult to uncouple the period in which only nucleation
occurs from the period in which only growth occurs. Literature suggests
that a supersaturation around S ≈ 1.3 for
insulin is low enough for just growth to occur.[58] Comparing the change in supersaturation at the very end
of the desupersaturation profile reveals that there is no difference
in the crystallization rate at such low supersaturations between the
pH values, indicating that the growth rate is independent of the pH.
Because the nucleation rate is dependent on the solution pH, we would
have expected an impact of pH also on the crystal growth rate, as
computational studies suggest a pH dependency on the crystal growth
rate.[7] From this observation, in addition
to the observation of a pH-independent diffusion coefficient, we hypothesize
that the growth rate-limiting step is the mass transport and not the
surface integration, which agrees with the suggestion that flow intensification
enhances nucleation and growth.[59]
Conclusion
This work describes a detailed investigation of the role of solution
pH in combination with a variation of zinc salts on the crystallization
of human insulin. We demonstrated that a more basic milieu for an
acidic protein like insulin led to an increase in solubility by up
to 5-fold but also to a faster onset of nucleation and increased crystallization
rate. Studying the second virial coefficient as well as the hydrodynamic
radius of insulin at different pHs revealed that the pH does not change
the protein–protein interactions. As the net negative charge
of insulin increases with an increasing pH, we hypothesize that it
is the change in water structuring around the protein’s surface
due to the change in electrostatic interactions between the water
and protein molecules which ultimately facilitates nucleation and
crystallization. Studying the role of zinc sulfate, zinc chloride,
or zinc acetate on crystallization, we found that these salts follow
the Hofmeister series with sulfate being the most effective anion
in promoting nucleation.In conclusion, this study gives insights
into the role of pH on
crystallization which will be of significant importance in designing
novel crystallization pathways for the pharmaceutical industry.
Authors: Lucie Kosinová; Václav Veverka; Pavlína Novotná; Michaela Collinsová; Marie Urbanová; Nicholas R Moody; Johan P Turkenburg; Jiří Jiráček; Andrzej M Brzozowski; Lenka Žáková Journal: Biochemistry Date: 2014-05-22 Impact factor: 3.162