Sharon N Greenwood1, Regina G Belz2, Brian P Weiser1. 1. Department of Molecular Biology, Rowan University School of Osteopathic Medicine, Stratford, NJ, USA. 2. University of Hohenheim, Hans-Ruthenberg Institute, Stuttgart, Germany.
Abstract
Hormesis refers to dose-response phenomena where low dose treatments elicit a response that is opposite the response observed at higher doses. Hormetic dose-response relationships have been observed throughout all of biology, but the underlying determinants of many reported hormetic dose-responses have not been identified. In this report, we describe a conserved mechanism for hormesis on the molecular level where low dose treatments enhance a response that becomes reduced at higher doses. The hormetic mechanism relies on the ability of protein homo-multimers to simultaneously interact with a substrate and a competitor on different subunits at low doses of competitor. In this case, hormesis can be observed if simultaneous binding of substrate and competitor enhances a response of the homo-multimer. We characterized this mechanism of hormesis in binding experiments that analyzed the interaction of homotrimeric proliferating cell nuclear antigen (PCNA) with uracil DNA glycosylase (UNG2) and a fluorescein-labeled peptide. Additionally, the basic features of this molecular mechanism appear to be conserved with at least two enzymes that are stimulated by low doses of inhibitor: dimeric BRAF and octameric glutamine synthetase 2 (GS2). Identifying such molecular mechanisms of hormesis may help explain specific hormetic responses of cells and organisms treated with exogenous compounds.
Hormesis refers to dose-response phenomena where low dose treatments elicit a response that is opposite the response observed at higher doses. Hormetic dose-response relationships have been observed throughout all of biology, but the underlying determinants of many reported hormetic dose-responses have not been identified. In this report, we describe a conserved mechanism for hormesis on the molecular level where low dose treatments enhance a response that becomes reduced at higher doses. The hormetic mechanism relies on the ability of protein homo-multimers to simultaneously interact with a substrate and a competitor on different subunits at low doses of competitor. In this case, hormesis can be observed if simultaneous binding of substrate and competitor enhances a response of the homo-multimer. We characterized this mechanism of hormesis in binding experiments that analyzed the interaction of homotrimeric proliferating cell nuclear antigen (PCNA) with uracil DNA glycosylase (UNG2) and a fluorescein-labeled peptide. Additionally, the basic features of this molecular mechanism appear to be conserved with at least two enzymes that are stimulated by low doses of inhibitor: dimeric BRAF and octameric glutamine synthetase 2 (GS2). Identifying such molecular mechanisms of hormesis may help explain specific hormetic responses of cells and organisms treated with exogenous compounds.
Hormetic dose-response relationships exist throughout all of biology and are
frequently reported in toxicologic and pharmacologic studies.
Hormesis refers to dose-response phenomena where low dose treatments elicit a
response that is opposite the response observed at higher doses. Hormetic
dose-response curves are sometimes referred to as “inverted U-shaped curves” when
low doses stimulate a response that is inhibited at high doses, or alternatively,
“J-shaped curves” when low doses reduce a response that is enhanced at higher doses.
Other terms used to describe hormetic dose-response curves include “biphasic,”
“bell-shaped,” or “paradoxical activation/inhibition” depending on the system
studied and the field of research. Among others, one area of research where the
specific term “hormesis” is commonly used is in the field of plant and herbicide
research. It is well-established that subtoxic doses of some herbicides including
glyphosate can stimulate plant growth, but these same compounds produce plant death
at higher concentrations.
Examples also exist in animal research where low doses of cytotoxic agents or
radiation stimulate the growth of cells.[3,4] Many other examples of hormesis
have been reported examining the effects of exogenous compounds on cell
proliferation, cell death, and the behavior of organisms.[1,5-7] Even endogenous cellular toxins
such as reactive oxygen species and nitric oxide, which are harmful at high levels,
can stimulate beneficial antioxidant and anti-inflammatory responses at low
levels.[8-12]Hormesis is considered a highly generalizable phenomenon and one of the most
fundamental dose-response models across all scientific fields,
but the mechanisms underlying hormetic dose-response relationships are often
unknown. In cases where low doses of toxins stimulate cell growth or protective
responses, nonspecific over-compensatory mechanisms are often invoked. For example,
low levels of stressor could direct cellular energy towards antioxidant and
pro-growth strategies including protein synthesis, yet the cell succumbs to higher
doses of the stressor.
A more specific mechanism of biological hormesis states that low doses of a
compound may be sufficient to act on a receptor in an organism to produce a specific
response, whereas higher doses produce an alternative response through interactions
with a separate receptor.
Finally, the most direct mechanisms of hormesis would implicate a hormetic
dose-response that occurs on the molecular level as being the cause of a hormetic
response observed on the organism level. Such direct mechanisms of hormesis are
sparse in the literature, or at the least, these mechanisms are difficult to
identify because the term “hormesis” is not universally applied in biological
research.This study was initially inspired by an encounter with hormesis in a biochemical
assay and by our desire to analyze hormetic dose-responses in a quantitatively
descriptive manner. To this end, we adapted methods that are widely used for
hormetic modeling in plant research towards evaluating the assembly of multi-protein
complexes containing the DNA binding proteins proliferating cell nuclear antigen
(PCNA) and uracil DNA glycosylase (UNG2).[15-17] A key advantage of our
approach was that we observed hormesis in binding assays that were performed with
purified protein and peptide components. We could therefore alter specific
conditions of the assay such as the concentrations of PCNA and UNG2 to understand
their influence on the observed hormetic dose-response relationships. This model
system allowed us to elucidate the molecular mechanism for hormesis in PCNA binding
assays and to determine the interrelation of hormetic dose-response curve parameters
for comparison to other hormesis studies that used similar statistical methods. We
then examined molecular mechanisms of hormesis that have been reported for the
enzymes BRAF kinase and glutamine synthetase 2 (GS2), and we found features that
were conserved between the three hormetic systems containing PCNA, BRAF, or GS2. A
unifying feature of these proteins is that they form homo-multimers and therefore
contain multiple equivalent binding sites for substrates, small molecules, and other
proteins. We find that the ability of a multimeric protein to simultaneously bind a
substrate and its competitor on different subunits makes the protein potentially
susceptible to hormetic dose-responses. This presents a framework for identifying
other proteins and molecules that may elicit hormetic dose-responses using similar
mechanisms. Characterizing such conserved mechanisms of hormesis on the molecular
level should help predict the cause of hormetic dose-response relationships that
occur on the organism level.
Materials and Methods
Fluorescence Anisotropy Binding Assays
The synthesis of N-terminally fluorescein–labeled Pogo-Ligase (PL) peptide was
reported previously.
The peptide sequence was 5/6-fluorescein-Ahx-SAVLQKKITDYFHPKK where Ahx
was an aminohexanoic acid linker, and the 8 residue PCNA binding motif began at
the Q. The synthesis of unlabeled UNG2(a.a.1-19) peptide was also described previously,
and this peptide sequence was identical to the N-terminal residues of the
human UNG2 protein (MIGQKTLYSFFSPSPARKRK). Additionally, the expression and
purification of recombinant human PCNA and human UNG2 were published along with
the general methodology for the fluorescence anisotropy binding
assays.[18,19] Briefly, equilibrium fluorescence anisotropy
measurements were made at 22°C in a quartz cuvette using a Horiba Fluoromax 4
instrument and excitation/emission wavelengths of 495 nm/520 nm. The buffer
contained 10 mM Tris-Cl, pH 8.0, 100 mM NaCl, 1 mM DTT, and 5% glycerol. The PL
peptide concentration was constant at 50 nM for all experiments, and the
concentration of other protein and peptide components were varied as described
in the Results and Discussion. As controls, we confirmed that the PL peptide
fluorescence intensity remained unchanged when PCNA, UNG2, and/or UNG2(a.a.1-19)
were included in the cuvette at all tested concentrations, and additionally, we
confirmed that the fluorescence anisotropy of PL peptide was unchanged when UNG2
and UNG2(a.a.1-19) were included in the cuvette in the absence of PCNA.
Protein and Peptide Crosslinking Experiments
Crosslinking reactions were performed in a 15 μL volume in a buffer containing
10 mM sodium phosphate, 100 mM NaCl, 1 mM DTT, and 5% glycerol, pH 7.4. The
crosslinker utilized was Bis-(NHS)-PEG5 from Thermo Scientific (catalog #21581).
The protein and peptide components were mixed and equilibrated at room
temperature, and then the crosslinker was added to a final concentration of
1 mM. The protein and peptide concentrations in each reaction were indicated in
the appropriate figure panel, and because the crosslinker was originally
dissolved in DMSO, each reaction also contained a final concentration of .4%
DMSO. The crosslinking reaction proceeded for 1 hour at room temperature then
was quenched with 2 μL of a solution containing 250 mM Tris and 1.92 M glycine
followed by heating at 95°C for 1 minute. Subsequently, 3 μL of 80% glycerol was
added to the mixture before it was separated on a 4–15% SDS-PAGE gel. The gel
was imaged on an Azure c400 imager using its red, green, and blue fluorescent
filters.
Monotonic and Hormetic Dose-Response Equations for Modeling
The standard symmetric log-logistic model used for monotonic dose response curves
relating response y to dose x follows the
equation
where c is the response at infinitely high doses
(lower asymptote), d is the response of the untreated control
when dose x approaches zero (upper asymptote),
b determines the slope of the curve, and θ controls the
inflection point of the curve.
This equation can be reparameterized to include the ED
, defined as the effective dose that reduces the response at the halfway
point between d and c, yielding the
equation[17,20]A mathematically equivalent equation can be written
orIn equations (1)–(4), the slope of the curve has
the opposite sign compared to parameter b such that
b is positive if the y values become
reduced at greater x values. A variation of equation (4) that
is commonly used when y response values are plotted against
log-transformed x values is written
orEquation (6) is recognized as an equation for a standard sigmoidal
dose-response curve where the Hill slope n is positive if the
y values increase at greater x values.To model hormesis as inverted U-shaped biphasic dose-response curves, an
additional parameter f can be incorporated into equation (1) such
that[16,17]Equation (7) is also known as the Brain and Cousens model for hormesis,
and low dose stimulation occurs when f is greater than
0. Equation (7) was reparameterized by Schabenberger et al.
to include the following parameters: dose ED
(equation (8)); dose M,
which is defined as the dose x yielding the maximum stimulatory
y response (ymax) (equation
(9)); LDS (limiting dose for stimulation), which is
defined as the highest dose x at which the stimulatory hormetic
response vanishes and the response returns to the level of d
(equation (10)). These parameterizations are also published
elsewhere.[15,17]
Interpretation of Hormetic Dose-Response Curves
Hypothetical inverted U-shaped hormetic and standard sigmoidal dose-response
curves are shown in Figure
1. Parameters defining the hormetic dose-response curve include
c, d, ED
, f (hormesis parameter), and b (slope
parameter) (equation (8)). The hormesis curve is used
for data satisfying f > 0, while when f =
0, the hormesis equation reverts back to the standard monotonic dose-response
curve (compare equations (1) and (7)).
Thus, parameters c, d, ED
, and b also define the standard dose-response curve
(Figure 1). Also
indicated in Figure 1
are parameters determined from equations (9) and (10):
LDS as the limiting dose for stimulation and
M as the dose inducing the maximum stimulatory response
ymax. Finally, the magnitude of hormetic
stimulation that reflects the percent change between control level
d and ymax is reported as
ymax% and is calculated as
(ymax/d)*100%.
Figure 1.
Hypothetical standard monotonic dose-response curve and a biphasic
dose-response curve showing hormesis. Parameters d,
c, and ED
apply to both curves, whereas
ymax, M, and
LDS apply only to the hormetic curve.
Additional curve parameters b (both curves) and
f (hormetic curve) do not interpolate to the
x or y axes, but control the
steepness of the descending slope and the degree of hormetic
increase. This figure was adapted from Schabenberger et al.
Hypothetical standard monotonic dose-response curve and a biphasic
dose-response curve showing hormesis. Parameters d,
c, and ED
apply to both curves, whereas
ymax, M, and
LDS apply only to the hormetic curve.
Additional curve parameters b (both curves) and
f (hormetic curve) do not interpolate to the
x or y axes, but control the
steepness of the descending slope and the degree of hormetic
increase. This figure was adapted from Schabenberger et al.
Curve Fitting
For hormesis dose-response curves, the NLMIXED procedure of SAS was used to fit
response values y as a nonlinear function of dose
x using equations (8)–(10).
The significance of hormesis was assessed by the 95% confidence interval
for parameter f and was given for f > 0.
Calculations were performed using SAS software/SAS Studio OnDemand for
Academics webserver. The estimated parameters (b,
d, f, c, and
ED
) were used to visualize the hormesis curve in GraphPad Prism using
equation (8) to solve for y using hypothetical
x values.Standard monotonic dose-response curves were fit using GraphPad Prism and
equation (6). The standard hyperbolic binding curve for the PCNA-PL peptide
interaction was fit using GraphPad Prism and the quadratic binding equation
reported previously.[18,21,22] For the data showing the relationship between PCNA
concentration (on the x axis) and
ymax, d, or
ymax% (on the y axis), curves
were fit using GraphPad Prism and the semi-log line equation
where b is the y value when
x is 1, and m is the change in
y when x changes by a factor of 10. Linear
relationships between different parameters were also modeled using GraphPad
Prism, which also provided R2 values to estimate goodness of fit.
Additional Data Analysis
The ED
value for UNG2 displacing 50 nM PL peptide from .25 μM PCNA was used to
calculate the affinity (Ki) of UNG2 for PCNA using
the equation
where Kd is the affinity of PCNA for
PL peptide, L
is the concentration of free PL peptide at 50% inhibition, and
P
is the concentration of free PCNA monomer at 0% inhibition.
The Ki in this equation is a calculated
Kd value. Equation (12)
was also used to calculate affinities of UNG2(a.a.1-19) peptide for PCNA.For BRAF paradoxical activation and GS2 hormesis data, we used the online
software WebPlotDigitzer
to extract x/y data points from
published articles.[25,26] Dose-response curves were fit to the data using the
methods described above.
Results and Discussion
Hormesis Observed During the Formation of Multi-Protein Complexes
We conducted equilibrium protein/peptide binding experiments with the following
components: human PCNA, which is an obligate homotrimer that forms a ring-like
structure; Pogo-Ligase (PL) peptide, which is 16mer containing an N-terminal
fluorescein label conjugated through an aminohexanoic acid linker; and human
UNG2, which contains an unstructured N-terminal domain and a globular catalytic
domain. PL peptide and the N-terminal domain of UNG2 each contain a conserved
PCNA-interacting-protein motif called a PIP-box, and PL peptide and UNG2 bind to
the same place on PCNA called the interdomain connecting loop.
Because PCNA is a homotrimer, there are three equivalent binding sites on
each protein that can theoretically bind to PL peptide or UNG2.We used a constant concentration of PL peptide in our binding assays (50 nM), and
we measured its fluorescence anisotropy in the presence of increasing PCNA
concentrations (Figure
2A).
The fluorescence anisotropy of PL peptide alone in solution was .043, and
this increased to .119 when the peptide was saturated with PCNA (Figure 2A). A standard
hyperbolic binding curve fit to the data determined a
Kd of .1 μM for the interaction of PL peptide
with PCNA.
The fluorescence intensity of PL peptide was unaltered when bound to
PCNA; therefore, the fluorescence anisotropy measurements should be directly
related to the rotational diffusion of PL peptide’s fluorescein label. The
increased anisotropy in the presence of PCNA indicated that the rotational
motion of fluorescein slowed when PL peptide was bound to PCNA and became part
of a larger molecular complex.
Figure 2.
Detection of multi-protein complexes containing PCNA and UNG2. (A)
Interaction of fluorescein-labeled PL peptide (50 nM) with
increasing amounts of PCNA as detected using fluorescence
anisotropy. The dissociation constant
(Kd) for their interaction was
determined to be .1 μM from the curve fit to the data. In all
figures and legends, the concentration of PCNA monomer was used
because this reflected the number of PCNA binding sites. Limited
variations of assays from panels A, B, and D were reported previously,
but all data here is original. Data points in these panels
represent mean values from at least three independent measurements
with standard error, and in many cases the error bar is not visible
because it is smaller than the displayed point. (B) Competition
assays where 50 nM PL peptide was displaced from PCNA with
increasing amounts of UNG2. The PCNA concentration used in each
assay is indicated, and parameters for the curves are shown in Table 1.
(C) Fluorescence image of an SDS-PAGE gel where the indicated
components were equilibrated prior to crosslinking. The larger
complexes indicated with the arrows contain PCNA (P), PL peptide
(PL), and one or two UNG2 (U) molecules. The lane immediately
adjacent to the ladder was empty. This gel is representative of
three independent crosslinking experiments. (D) Competition assays
where 50 nM PL peptide was displaced from PCNA with increasing
amounts of UNG2(a.a.1-19) peptide. The PCNA concentration used in
each assay is indicated, and parameters for the curves are shown in
Table
2. (E) Mechanism for hormesis in competition assays. (1)
In the absence of UNG2, each PCNA homotrimer bound by PL peptide has
at least two free sites that UNG2 can bind. (2) The fluorescence
anisotropy of PL peptide increases when UNG2 is bound to the same
PCNA homotrimer. (3) At high UNG2 concentrations, all PL peptide is
displaced and the fluorescence anisotropy decreases. Note that not
all states of binding are shown in this simplified model.
Detection of multi-protein complexes containing PCNA and UNG2. (A)
Interaction of fluorescein-labeled PL peptide (50 nM) with
increasing amounts of PCNA as detected using fluorescence
anisotropy. The dissociation constant
(Kd) for their interaction was
determined to be .1 μM from the curve fit to the data. In all
figures and legends, the concentration of PCNA monomer was used
because this reflected the number of PCNA binding sites. Limited
variations of assays from panels A, B, and D were reported previously,
but all data here is original. Data points in these panels
represent mean values from at least three independent measurements
with standard error, and in many cases the error bar is not visible
because it is smaller than the displayed point. (B) Competition
assays where 50 nM PL peptide was displaced from PCNA with
increasing amounts of UNG2. The PCNA concentration used in each
assay is indicated, and parameters for the curves are shown in Table 1.
(C) Fluorescence image of an SDS-PAGE gel where the indicated
components were equilibrated prior to crosslinking. The larger
complexes indicated with the arrows contain PCNA (P), PL peptide
(PL), and one or two UNG2 (U) molecules. The lane immediately
adjacent to the ladder was empty. This gel is representative of
three independent crosslinking experiments. (D) Competition assays
where 50 nM PL peptide was displaced from PCNA with increasing
amounts of UNG2(a.a.1-19) peptide. The PCNA concentration used in
each assay is indicated, and parameters for the curves are shown in
Table
2. (E) Mechanism for hormesis in competition assays. (1)
In the absence of UNG2, each PCNA homotrimer bound by PL peptide has
at least two free sites that UNG2 can bind. (2) The fluorescence
anisotropy of PL peptide increases when UNG2 is bound to the same
PCNA homotrimer. (3) At high UNG2 concentrations, all PL peptide is
displaced and the fluorescence anisotropy decreases. Note that not
all states of binding are shown in this simplified model.
Table 1.
Standard and Hormetic Dose-Response Curve Parameters for Binding
Assays containing PCNA, PL Peptide, and UNG2.
Parameter
.25 μM PCNAa
.25 μM PCNA
.5 μM PCNA
1 μM PCNA
3 μM PCNA
10 μM PCNA
b
1.905
2.098
1.698
1.574
1.384
NDc
d
.0821
.0815
.0876
.0927
.0949
.1014
ED50
3.75 μM
3.85 μM
15.77 μM
48.90 μM
287.45 μM
NDc
c
.0568
.0572
.0572b
.0572b
.0572b
.0572b
f
n/a
.0009
.0201d
.0301d
.0281d
.0123d
ymax
n/a
n/a
.1004
.1196
.1269
.1511
ymax%
n/a
n/a
114.7
129.0
133.6
148.9
M
n/a
n/a
1.55
2.45
4.10
16.90
LDS
n/a
n/a
5.46
14.34
64.96
NDc
aDetermined from standard dose-response curve; all
other values determined from hormetic dose-response curves.
bFixed values as estimated from the .25 μM dataset
using hormetic modeling.
cNot determined due to lack of data points on
descending part of curve.
df > 0 based on 95% confidence
interval indicating significant hormesis.
Table 2.
Standard and Hormetic Dose-Response Curve Parameters for Binding
Assays Containing PCNA, PL Peptide, and UNG2(a.a.1-19) Peptide.
Parameter
.25 μM PCNAa
.25 μM PCNA
1 μM PCNAa
1 μM PCNA
b
3.423
2.798
1.143
1.497
d
.0899
.0896
.0981
.0969
ED50
6.70 μM
6.43 μM
11.75 μM
11.44 μM
c
.0578
.0572
.0578b
.0572b
f
n/a
.0013c
n/a
.0044c
aDetermined from standard dose-response curve; all
other values determined from hormetic dose-response curves.
bFixed values as estimated from the .25 μM
datasets.
cf not different from 0 based on 95%
confidence interval indicating no significant hormesis.
Next, we equilibrated 50 nM PL peptide with a constant PCNA concentration of
.25 μM, and then measured its fluorescence anisotropy in the presence of
increasing UNG2 concentrations (.01 μM to 50 μM). As expected, UNG2 displaced PL
peptide from PCNA and reduced its fluorescence anisotropy from .082 to .057
(Figure 2B). The
data was fit with the standard sigmoidal dose-response curve that yielded an
ED
of 3.75 μM UNG2. Additionally, fitting the data with the hormetic
dose-response curve yielded no significant hormesis, but estimated nearly
identical values for all other curve parameters including the
ED
(3.85 μM UNG2) (Table 1). An ED
of 3.8 μM was used with equation (12) to calculate a
Kd of 1 μM for the interaction of UNG2 with
PCNA. This is in line with our previous reports of
Kd values in the range of 1 μM to 4 μM for their interaction.Standard and Hormetic Dose-Response Curve Parameters for Binding
Assays containing PCNA, PL Peptide, and UNG2.aDetermined from standard dose-response curve; all
other values determined from hormetic dose-response curves.bFixed values as estimated from the .25 μM dataset
using hormetic modeling.cNot determined due to lack of data points on
descending part of curve.df > 0 based on 95% confidence
interval indicating significant hormesis.In addition, we conducted competition assays where we displaced 50 nM PL peptide
from PCNA with UNG2, but we used different PCNA concentrations in the range of
.5 μM to 10 μM. The observed dose-response relationships in these competition
assays all showed significant “low dose stimulation” where the fluorescence
anisotropy of PL peptide increased at low UNG2 concentrations prior to the
reduction that would be expected when UNG2 displaces the peptide from PCNA
(Figure 2B). These
datasets were fit using the hormetic dose-response curve as opposed to a
standard dose-response curve (Figure 2B), and values for the curve parameters are shown in Table 1.We performed crosslinking experiments to better understand how PL peptide, PCNA,
and UNG2 interact with each other. 1 μM PCNA was equilibrated with .55 μM PL
peptide and varying UNG2 concentrations (.1 μM to 50 μM), then the mixtures were
treated with a symmetric crosslinker that contained amine-reactive NHS ester
groups separated by a flexible PEG5 linker. Subsequently, SDS-PAGE and
fluorescence imaging of the crosslinked components demonstrated that binary PL
peptide-PCNA complexes were the primary species in the absence of UNG2 (Figure 2C). When 2.4 μM
UNG2 was included in the system, ternary and even quaternary protein/peptide
complexes formed (PL peptide-PCNA-UNG2 and PL peptide-PCNA-UNG2-UNG2) (Figure 2C). Lastly, the
addition of 50 μM UNG2 to the system was sufficient to displace all of the PL
peptide from PCNA (Figure
2C).Finally, we performed fluorescence anisotropy assays as before using PL peptide
and different PCNA concentrations, but instead of using UNG2 protein as the
competitor, we used a 19mer UNG2 peptide that retained the PCNA–interacting
protein motif. This UNG2(a.a.1-19) peptide displaced PL peptide from PCNA
without a hormetic response (Figure 2D and Table 2). The ED
values from standard dose-response curves that were fit to the
competition data using .25 μM and 1 μM PCNA could be used with equation (12) to
calculate identical Kd values of 1 μM for the
interaction of UNG2(a.a.1-19) with PCNA.Standard and Hormetic Dose-Response Curve Parameters for Binding
Assays Containing PCNA, PL Peptide, and UNG2(a.a.1-19) Peptide.aDetermined from standard dose-response curve; all
other values determined from hormetic dose-response curves.bFixed values as estimated from the .25 μM
datasets.cf not different from 0 based on 95%
confidence interval indicating no significant hormesis.
Mechanism for Hormesis in Fluorescence Anisotropy Assays Containing PCNA, PL
Peptide, and UNG2
At the start of each competition assay, the concentration of PCNA homotrimer
exceeded the PL peptide concentration. Therefore, each PCNA homotrimer that was
bound to PL peptide still averaged at least two free binding sites that could
theoretically be occupied by UNG2 (Figure 2E). As validated with
crosslinking (Figure
2C), the increase in fluorescence anisotropy that occurred at lower UNG2
concentrations resulted from the formation of ternary PL peptide-PCNA-UNG2
complexes (and probably quaternary complexes) that were much larger than binary
PL peptide-PCNA complexes (Figure 2E). The hormetic increase in fluorescence anisotropy
indicated that the rotational diffusion of the fluorescein label was slower when
PL peptide was bound to PCNA-UNG2 complexes compared to PCNA alone. Such a
dependence of fluorescein’s rotational diffusion and anisotropy on the molecular
weight of the interacting complex is commonly observed.[27,28] This was
further supported because the maximum anisotropy of PL peptide saturated with
PCNA was significantly exceeded when PL peptide was co-equilibrated with both
PCNA and UNG2 (Figures 2A and
B and ymax values in Table 1). Finally, at
sufficiently high UNG2 concentrations, all of the PL peptide was displaced from
PCNA and the fluorescence anisotropy reduced towards the value of free PL
peptide in solution. We note that the hormetic dose-response was probably not
observed during competition assays using the peptide UNG2(a.a.1-19) because
complexes containing PL peptide, PCNA, and UNG2(a.a.1-19) were not significantly
larger than PL peptide-PCNA complexes alone. Thus, the addition of one or two
molecules of UNG2(a.a.1-19) to PL peptide-PCNA complexes did not alter the
movement of the complex enough in solution to affect the rotational diffusion of
the fluorescein label on PL peptide or its fluorescence anisotropy. For
comparison, the molecular weights of the complexes are as follows: PL
peptide-PCNA, 92.4 kDa; PL peptide-PCNA-UNG2(a.a.1-19), 94.6 kDa; PL
peptide-PCNA-UNG2(a.a.1-19)-UNG2(a.a.1-19), 96.8 kDa; PL peptide-PCNA-UNG2,
127.4 kDa; PL peptide-PCNA-UNG2-UNG2, 162.4 kDa). Additionally, ∼70% of UNG2’s
mass is contributed by its globular catalytic domain which significantly
increases the radius of the PCNA complexes upon binding.An important consideration is why hormesis was not observed when PL peptide was
displaced from .25 μM PCNA with UNG2, but was observed with increasing magnitude
as PCNA levels increased. Assays with lower concentrations of PCNA were less
sensitive at detecting PL peptide-PCNA-UNG2 complexes as indicated by the
ymax% values calculated from the curve
parameters (Table
1). The fluorescence anisotropy measurement was an average value from all
of the PL peptide in the cuvette, and based on the
Kd for their interaction (Figure 2A), only 68% of PL peptide was
bound to .25 μM PCNA in the absence of UNG2. Thus, at least 32% of PL peptide in
that assay would always contribute an anisotropy of free PL peptide (.043); in
contrast, 99% of PL peptide was initially protein-bound in experiments using
10 μM PCNA, which eliminated the background from free PL peptide and increased
the concentration of PL peptide-PCNA complexes available for UNG2 binding. We
emphasize that free PL peptide and multiple states of PL peptide bound to
different protein complexes were present in different ratios in each equilibrium
measurement, and that the fraction of PL peptide in a ternary or quaternary
complex that was required to observe hormesis cannot easily be determined. We
cannot decompose the fluorescence anisotropy value to determine the contribution
of each state of PL peptide to the overall measurement (PL peptide states
include free PL peptide, PCNA-bound, or ternary/quaternary complex-bound).
Interrelations Between Hormetic Dose-Response Curve Parameters
Correlations between specific hormetic dose-response curve parameters that were
obtained using identical modeling methods have been reported in studies
analyzing the stimulation of plant growth by low doses of herbicides or other
phytotoxins that precedes plant death at higher doses.[1,2,29,30] In agreement with these
specific reports on hormesis parameters,[2,29-31] estimates for
d and ymax had a strong
correlation in our datasets (Figure 3A). However, the increase in d and
ymax are theoretically limited in our binding
assay, and the parameters plateau at different values (Figure 3B). This is not a characteristic
that is always found in hormetic dose-response relationships.
In our binding assay, d plateaus when all of the PL
peptide is bound to PCNA in the absence of UNG2, which is typical for one-site
binding assays and is also illustrated in Figure 2A. In contrast,
ymax plateaus when PL peptide is maximally bound
to complexes containing both PCNA and UNG2. Consequently,
ymax% plateaus because it is calculated from
d and ymax (Figure 3C).
Interestingly, ∼80% of hormetic dose-response curves reported from toxicologic
studies have ymax% values of less than 200%,
which was consistent with the range found in our study (Figure 3C).
Figure 3.
Relationships between dose-response curve parameters and protein
concentrations in binding assays containing PL peptide, PCNA, and
UNG2. (A) Parameters d and
ymax are linearly correlated. (B)
and (C) Relationships between dose-response curve parameters and
protein concentrations are shown. The placement of individual
parameters in either panel was arbitrary and chosen based on the
scale of the values.
Relationships between dose-response curve parameters and protein
concentrations in binding assays containing PL peptide, PCNA, and
UNG2. (A) Parameters d and
ymax are linearly correlated. (B)
and (C) Relationships between dose-response curve parameters and
protein concentrations are shown. The placement of individual
parameters in either panel was arbitrary and chosen based on the
scale of the values.Other features of biochemical hormesis curves have not been reported in
toxicologic systems. In our binding assays, the estimated dose parameters
M, LDS, and ED
increased linearly with PCNA concentration and were seemingly unlimited
(Figure 3C). A
linear increase in ED
would also be expected in a simple one-site competition assay where
receptor levels can continually be increased. Such may not be the case with
plants and animals on the whole organism level where a toxicologic
ED
may be shifted by some growth factors such as temperature or light, but a
progressive and unlimited shift in ED
is unlikely to occur because at some point the growth factor itself will
cause an adverse effect on the organism.
The complexity of our PCNA binding assay renders the ED
values derived in the presence of hormesis difficult to interpret because
they do not report on a one-site interaction between UNG2 and PCNA and are not
compatible with equation (12).Finally, parameters f and b that control curve
ascension from d and descension to c also
changed in a characteristic way. Parameter f from our curves
followed a bell-shaped relationship with increasing amounts of PCNA but would be
expected to remain greater than zero at even higher PCNA concentrations than
those tested in this study (Figure 3B). This is expected because d and
ymax plateau with d less than
ymax, and these parameters theoretically remain
stable with increasing PCNA concentrations. On the other hand, the slope
parameter b progressively decreased at higher PCNA
concentrations as the slope between ymax and
c shallowed. Parameter b was equivalent to
the Hill slope in the assays using .25 μM PCNA when hormesis was absent, and the
value of ∼2 in those assays suggested negative cooperativity where the
association of PL peptide or UNG2 with PCNA was weakened by the presence of the
other (Table 1).
Apparently, the negative cooperativity became reduced as the assay reported less
on displacement of PL peptide from PCNA by UNG2, and instead, reported more on
the displacement of PL peptide from PCNA-UNG2 complexes that occurred more
readily at higher PCNA concentrations.
A Conserved Mechanism for Hormesis in Molecular Systems
Besides the hormesis results from our PCNA binding assays, we identified two
additional proteins that can produce hormetic dose-responses through a defined
mechanism. First, BRAF protein kinase is an enzyme that is active as a dimer and
inactive as a monomer.[25,32] As a dimer, BRAF has two active subunits that can bind
substrate or be targeted by small molecules. At low concentrations, the BRAF
inhibitor dabrafenib will bind only a single subunit of the BRAF dimer, and this
allosterically enhances the activity of the other subunit.
This “paradoxical activation” of BRAF persists until the inhibitor
concentration is sufficient to bind both active subunits of the dimer (Figure 4A).
A second example of molecular hormesis is the stimulation of GS2 from
chloroplasts of the plant Lotus corniculatus by the herbicide
methionine sulfoximine. GS2 is a homo-octamer with eight active sites.
Analogous to BRAF, low concentrations of methionine sulfoximine bind and
inhibit individual subunits of the octamer, but this has an allosteric
stimulatory effect on other subunits of the octamer (Figure 4B).
High doses of methionine sulfoximine ultimately bind and inhibit all
eight subunits of GS2 to completely inhibit the enzyme (Figure 4B).
Figure 4.
Reported mechanisms for BRAF paradoxical activation by the inhibitor
dabrafenib and the hormetic dose-response of the herbicide
methionine sulfoximine on GS2. (A) BRAF itself is enzymatically
active as a dimer. At low dabrafenib concentrations, only one
subunit of BRAF is bound by the inhibitor and this allosterically
stimulates the other subunit. In contrast, high concentrations of
dabrafenib inhibit both subunits rendering the enzyme inactive. Our
depiction is simplified because BRAF actually has two substrates
(ATP and protein), with dabrafenib being competitive with ATP. The
data points on this graph were extracted from Cope et al.
and were fit with a hormetic dose-response curve. From the
curve parameters, f > 0 based on the 95%
confidence interval indicating significant hormesis. (B) GS2 is
enzymatically active as an octamer. Low doses of methionine
sulfoximine bind only some subunits of the octamer to allosterically
stimulate other subunits. High concentrations of methionine
sulfoximine bind and inhibit all subunits of GS2. Our depiction is
simplified because GS2 actually has two substrates (ATP and
glutamate), and methionine sulfoximine is competitive with glutamate
and a somewhat irreversible inhibitor. In our depiction, the green
subunits of GS2 would have activity that is significantly higher
than octameric subunits in the absence of methionine sulfoximine.
The data points on this graph were extracted from Dragićević et al.
and were fit with a hormetic dose-response curve. From the
curve parameters, f > 0 based on the 95%
confidence interval. Note that, for both BRAF and GS2, not all
states of free, substrate-bound, and inhibitor-bound enzyme
complexes are shown.
Reported mechanisms for BRAF paradoxical activation by the inhibitor
dabrafenib and the hormetic dose-response of the herbicide
methionine sulfoximine on GS2. (A) BRAF itself is enzymatically
active as a dimer. At low dabrafenib concentrations, only one
subunit of BRAF is bound by the inhibitor and this allosterically
stimulates the other subunit. In contrast, high concentrations of
dabrafenib inhibit both subunits rendering the enzyme inactive. Our
depiction is simplified because BRAF actually has two substrates
(ATP and protein), with dabrafenib being competitive with ATP. The
data points on this graph were extracted from Cope et al.
and were fit with a hormetic dose-response curve. From the
curve parameters, f > 0 based on the 95%
confidence interval indicating significant hormesis. (B) GS2 is
enzymatically active as an octamer. Low doses of methionine
sulfoximine bind only some subunits of the octamer to allosterically
stimulate other subunits. High concentrations of methionine
sulfoximine bind and inhibit all subunits of GS2. Our depiction is
simplified because GS2 actually has two substrates (ATP and
glutamate), and methionine sulfoximine is competitive with glutamate
and a somewhat irreversible inhibitor. In our depiction, the green
subunits of GS2 would have activity that is significantly higher
than octameric subunits in the absence of methionine sulfoximine.
The data points on this graph were extracted from Dragićević et al.
and were fit with a hormetic dose-response curve. From the
curve parameters, f > 0 based on the 95%
confidence interval. Note that, for both BRAF and GS2, not all
states of free, substrate-bound, and inhibitor-bound enzyme
complexes are shown.A conserved mechanism can be used to describe the hormetic dose-response that
occurs in the three molecular systems we discussed involving PCNA, BRAF, or GS2
(Figures 2E and
4A and B).
Initially, a protein homo-multimer (dimer, trimer, or octamer) interacts with
substrate to produce some response. A competitor is added to the system, but at
low doses the competitor and substrate bind to different sites on the same
multimer, and the measured response is enhanced. In contrast, high doses of
competitor prevent the substrate from binding the multimer and the measured
response is eliminated. The similarity between the hormesis observed in BRAF and
GS2 assays is obvious because substrate conversion is the measured response. For
the PCNA binding assays, the measured response is the fluorescence anisotropy of
the substrate, PL peptide, and UNG2 is the inhibitor. The fact that a similar
mechanism of hormesis can be invoked for binding assays and activity assays
would appear to strengthen the conservation of this molecular mechanism. This is
despite important differences between the PCNA system and the BRAF and GS2
systems, such as the non-equilibrium conditions of the enzyme activity assays
and the dependence of BRAF and GS2 on allostery.
Outlook and Conclusions
Dose-response curves are widely used in biologic, toxicologic, and pharmacologic
research. In most studies, dose-response relationships can adequately be
described using a standard symmetric sigmoidal model. However, hormesis is often
found when low dose effects are examined in dose-response studies, and the
discovery of hormetic dose-response relationships is on the rise in all areas of research.
The universality of the hormetic dose-response curve is not surprising
considering the universality of the standard dose-response. The importance of
the hormetic dose-response relationship and the value of its consideration is
clear from this report where we discuss hormetic phenomena that are both
clinically (BRAF) and commercially (GS2) relevant. Molecular mechanisms of
hormesis can be rationalized for these enzyme multimers, and the oligomeric
features of these proteins that promote hormesis through multi-site
ligand/substrate binding are conserved with PCNA. The molecular hormesis
observed in BRAF and GS2 assays directly contribute to hormetic outcomes on the
cell and organism level. For BRAF, paradoxical activation by low doses of
inhibitors leads to elevated phosphorylation of protein targets and promotion of
cell growth.[34,35] For GS2, activation by low doses of herbicides
stimulates plant growth by promoting reassimilation of photorespiratory
ammonia.[26,36,37] However, for most accounts of hormesis on the organism
level, a single distinct molecular basis has not been discovered. In some cases,
there may not be a direct molecular mechanism and a non-specific or
receptor-based mechanism prevails. There is also no requirement that hormesis on
the molecular level will manifest as a hormetic response on the cell or organism
level. Our observations of hormesis using synthetic PL peptide, for example,
were purely experimental and do not directly translate to living systems.
Moreover, the interrelations observed in this study for hormesis parameters may
also manifest in a different way on the cell or organism level.
More research is needed to span the gap between the molecular level and
hormesis in higher biological levels.There are likely specific features of proteins and other macromolecules that make
them susceptible to hormetic responses. We describe one type of molecular
mechanism where multimeric proteins can simultaneously interact with more than
one substrate or ligand. Variations are known to exist even in this category;
for example, BRAF-CRAF heterodimers undergo paradoxical activation,
eliminating the requirement for a homo-multimer. There are also multiple
ligands that produce paradoxical activation in BRAF and CRAF, and these
compounds have different efficacies and potencies.[25,32,38] With at least ten
thousand reports of hormesis in different fields of research,
more than one general molecular mechanism likely exists, including the
possibility that protein multimers are not involved. We anticipate that
identifying and categorizing additional features of hormesis in molecular
systems will facilitate our understanding of hormetic dose-response
relationships throughout all of biology. This may allow us to better predict or
rationalize hormetic dose-responses that can occur in cells and organisms across
a variety of clinical, toxicologic, and pharmacologic settings.
Authors: Kyle J Seamon; Zhiqiang Sun; Luda S Shlyakhtenko; Yuri L Lyubchenko; James T Stivers Journal: Nucleic Acids Res Date: 2015-06-22 Impact factor: 16.971
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