Monoclonal antibodies labeled with near-infrared (NIR) fluorophores have potential use in disease detection, intraoperative imaging, and pharmacokinetic characterization of therapeutic antibodies in both the preclinical and clinical setting. Recent work has shown conjugation of NIR fluorophores to antibodies can potentially alter antibody disposition at a sufficiently high degree of labeling (DoL); however, other reports show minimal impact after labeling with NIR fluorophores. In this work, we label two clinically approved antibodies, Herceptin (trastuzumab) and Avastin (bevacizumab), with NIR dyes IRDye 800CW (800CW) or Alexa Fluor 680 (AF680), at 1.2 and 0.3 dyes/antibody and examine the impact of fluorophore conjugation on antibody plasma clearance and tissue distribution. At 0.3 DoL, AF680 conjugates exhibited similar clearance to unlabeled antibody over 17 days while 800CW conjugates diverged after 4 days, suggesting AF680 is a more suitable choice for long-term pharmacokinetic studies. At the 1.2 DoL, 800CW conjugates cleared faster than unlabeled antibodies after several hours, in agreement with other published reports. The tissue biodistribution for bevacizumab-800CW and -AF680 conjugates agreed well with literature reported biodistributions using radiolabels. However, the greater tissue autofluorescence at 680 nm resulted in limited detection above background at low (∼2 mg/kg) doses and 0.3 DoL for AF680, indicating that 800CW is more appropriate for short-term biodistribution measurements and intraoperative imaging. Overall, our work shows a DoL of 0.3 or less for non-site-specifically labeled antibodies (with a Poisson distribution) is ideal for limiting the impact of NIR fluorophores on antibody pharmacokinetics.
Monoclonal antibodies labeled with near-infrared (NIR) fluorophores have potential use in disease detection, intraoperative imaging, and pharmacokinetic characterization of therapeutic antibodies in both the preclinical and clinical setting. Recent work has shown conjugation of NIR fluorophores to antibodies can potentially alter antibody disposition at a sufficiently high degree of labeling (DoL); however, other reports show minimal impact after labeling with NIR fluorophores. In this work, we label two clinically approved antibodies, Herceptin (trastuzumab) and Avastin (bevacizumab), with NIR dyes IRDye 800CW (800CW) or Alexa Fluor 680 (AF680), at 1.2 and 0.3 dyes/antibody and examine the impact of fluorophore conjugation on antibody plasma clearance and tissue distribution. At 0.3 DoL, AF680 conjugates exhibited similar clearance to unlabeled antibody over 17 days while 800CW conjugates diverged after 4 days, suggesting AF680 is a more suitable choice for long-term pharmacokinetic studies. At the 1.2 DoL, 800CW conjugates cleared faster than unlabeled antibodies after several hours, in agreement with other published reports. The tissue biodistribution for bevacizumab-800CW and -AF680 conjugates agreed well with literature reported biodistributions using radiolabels. However, the greater tissue autofluorescence at 680 nm resulted in limited detection above background at low (∼2 mg/kg) doses and 0.3 DoL for AF680, indicating that 800CW is more appropriate for short-term biodistribution measurements and intraoperative imaging. Overall, our work shows a DoL of 0.3 or less for non-site-specifically labeled antibodies (with a Poisson distribution) is ideal for limiting the impact of NIR fluorophores on antibody pharmacokinetics.
Monoclonal antibodies
are the largest class of biologics, and they
continue to grow due to multiple applications in cancer treatment,
autoimmune disorders, and other diseases. Currently there are over
50 FDA approved therapeutics, and as of mid-November 2015, there were
53 in phase 3 clinical trials and over 470 in various stages of the
clinical pipeline.[1] Antibodies exhibit
complex pharmacokinetics because of their large size, long circulating
half-life (including FcRn recycling), target mediated drug disposition
(TMDD), limited tumor penetration, and immunogenic responses, making a priori predictions of monoclonal antibody distribution
exceedingly difficult. Therefore, robustly characterizing the pharmacokinetics
of novel next-generation antibodies, antibody–drug conjugates,
bispecific antibodies, and other protein scaffolds in the preclinical
and clinical setting can aid in development and help produce lead
therapeutic candidates with a higher likelihood of clinical success.Bioanalytical methods remain the industry standard for measuring
plasma clearance of biologics, since any modification (radiolabel,
fluorophore, etc.) can potentially modify the distribution of an agent.[2,3] Conventional techniques for determining antibody disposition include
plasma clearance measurements using ELISA or LC-MS, and tissue distribution
using immunohistochemistry and immunofluorescence. However, these
bioanalytical techniques do not have the high spatial and temporal
resolution, the ease of measuring drug metabolism, or the direct detection
of radiolabeling or fluorescence techniques. Radiolabeling methods
made significant improvements during early studies with monoclonal
antibodies (e.g., ref (4)) in the stability of the conjugation chemistry and without disrupting
binding.[5] Several results have shown negligible
changes in plasma clearance relative to unlabeled antibodies.[6,7] Therefore, radiolabels remain the gold standard for quantifying
bulk organ and tissue distributions using scintillation counting and in vivo imaging, such as positron emission tomography (PET).[8] Although experimental methods are approaching
the cellular scale,[9] their resolution is
intrinsically limited by the path length of the positron and imaging
equipment. Additionally, the time/half-life constraints, safety concerns,
and expense of radioactivity limit its broad applicability for high-resolution
imaging and single-cell measurements.There is growing interest
in using near-infrared (NIR) fluorescent
dyes as molecular imaging agents for pharmacokinetic tracking, disease
characterization/detection,[10] and intraoperative
imaging[11,12] due to the high spatial and temporal resolution
of fluorescence imaging, low tissue autofluorescence, and deep tissue
penetration of NIR light.[13−17] For example, in a recent publication, we used the high spatial resolution
of fluorescence to demonstrate the importance of tumor penetration
on antibody drug conjugate (ADC) efficacy, highlighting one application
where tissue-level distribution in addition to organ-level biodistribution
is important for describing drug effects.[18] NIR dyes provide a convenient and safe method to quantify pharmacokinetics
at the subcellular to tissue level while retaining the possibility
for quantifying macroscopic organ biodistribution (e.g.,[19] although more tissue processing is required
compared to radiolabeling). Radiolabeling techniques remain the gold
standard for whole animal imaging and organ biodistribution due to
the higher scattering and absorption of fluorescent light. However,
NIR fluorescent dyes can complement these results with high-resolution
tissue distribution (fluorescence microscopy) and single-cell data
(flow cytometry) while providing biodistribution data for validation
between the methods (i.e., comparing fluorescence %ID/g[20] with radiolabeled results). Additionally, conventional
visible light dyes can easily be used with NIR dyes for multichannel
flow cytometry or immunofluorescence.[21]Despite these advantages for high-resolution and single-cell
imaging,
NIR fluorescence labeling techniques have room for improvement to
lower the impact of labeling on distribution and clearance (just as
radiolabeling techniques did decades ago[6,22−24]). In particular, there is no consensus on the optimum degree of
labeling (DoL), also known as the dye to protein ratio (D/P) or average
number of dyes per antibody, that should be used to prevent the dye
from altering antibody pharmacokinetics. Some recent work with the
NIR fluorophore IRDye800CW (800CW, LI-COR) demonstrates that antibody
clearance can be altered upon fluorophore conjugation,[6,20,25,26] and higher degrees of labeling result in increased liver uptake.
While the benefit of higher signal often outweighs the cost of faster
clearance for imaging and detection applications, it would limit the
use for pharmacokinetic characterization of antibodies. These groups
also showed that lower degrees of labeling result in a reduced impact
on distribution; however, some of these studies were performed with
dual radiolabeled and fluorophore labeled antibodies, thereby preventing
independent comparisons between unlabeled and labeled antibodies.In this work, we examined the effects of conjugation of 800CW and
another commonly used fluorophore, Alexa Fluor 680 (AF680), on the
pharmacokinetics of two clinically approved antibodies, Herceptin
(trastuzumab) and Avastin (bevacizumab). We selected 800CW because
of its clinical relevance for NIR intraoperative imaging and literature
precedent and compared it to AF680 (excited in far-red and emitting
in near-infrared) because of the similar cyanine based structures
and residualization properties.[27] Our previous
work with NIR labeled peptidomimetics also showed that AF680 has one
of the lowest plasma protein binding rates of all the NIR dyes tested.[28] We used a 1.2 and 0.3 DoL of each dye, measured
plasma clearance by fluorescence and ELISA, and performed tissue biodistribution
experiments to see if fluorophore conjugation altered antibody distribution.
Additionally, we labeled the clinically approved antibody–drug
conjugate (ADC) Kadcyla (ado-trastuzumab emtansine) with AF680 and
tracked its tumor distribution out to 7 days as an example application
studying tissue pharmacokinetics.
Materials and Methods
Antibodies
and Imaging Agents
Trastuzumab (Herceptin,
Roche), bevacizumab (Avastin, Roche), and ado-trastuzumab emtansine
(T-DM1, Kadcyla, Roche) were obtained from the University of Michigan
pharmacy. Alexa Fluor 680 NHS Ester (AF680, ThermoFisher Scientific)
and IRDye800CW (800CW, LI-COR) were conjugated to each antibody following
the manufacturers’ instructions as previously described.[18,27] Briefly, dyes were reacted at an antibody concentration of 2 mg/mL
in PBS with 10% sodium bicarbonate (v/v) for 2 h at 25 °C and
then purified using Biogel P-6, Fine (Bio-Rad) in
Spin-X centrifuge filter tubes (Corning).[27] Dye to antibody molar ratios of 3.0 and 0.5 were used to obtain
the 1.2 and 0.3 degrees of labeling, respectively. The degree of labeling
was determined by using a NanoDrop 2000c spectrophotometer (ThermoFisher
Scientific) to measure fluorophore absorption and the protein absorbance
at 280 nm, corrected for the fluorophore. The degree of labeling is
defined as the average dye to protein concentration ratio. Sample
absorption spectra are included in the Supporting Information (Figure S1). After purification, conjugates were
run on SDS-PAGE and scanned on an Odyssey CLx to ensure all free dye
was removed (Figure S2). Binding affinities
were performed as previously described[3] using HCC1954 cells. Briefly, titrations of unlabeled antibody and
antibody–dye conjugates were incubated with 50,000 HCC1954
cells on ice for 3 h and washed. After the primary incubation, cells
were further incubated with antihuman IgG Fc-AlexaFluor488 at 40 nM
for 30 min on ice, washed, and subsequently run on an Attune Focusing
Cytometer (Applied Biosystems). Kd was
estimated using PRISM and is reported as Kd ± standard error.
Plasma Clearance
All animal studies
were approved and
conducted in compliance with the Institutional Animal Care and Use
Committee (IACUC) of the University of Michigan. Animal studies were
conducted in C57BL/6J or Foxn1 nude (Jackson Laboratories) mice. Plasma
clearance was measured after tail-vein injection of 500 μg of
unlabeled stock antibody with 50 μg of labeled antibody at the
different DoL’s described above (N = 3 for
each DoL). Plasma concentration was determined by fluorescence and
ELISA for each sample. Plasma samples were obtained through retroorbital
sampling 10 μL of whole blood, mixing with 15 μL of PBS-EDTA
(10 mM), centrifugation at 3000g for 1 min, and freezing
18 μL of the resulting plasma. The concentration of fluorescent
antibody was determined by scanning 15 μL of plasma on the NIR
Odyssey CLx Scanner (LI-COR) and comparing the signal intensity to
a calibration curve of known concentration to signal intensity at
the same scan settings. Plasma concentration as measured by fluorescence
and ELISA was normalized to the initial value, and then the clearance
was fit to a biexponential decay using PRISM (GraphPad). Absolute
plasma concentrations at 1 min were compared with theoretical initial
concentrations based on the dose and estimated plasma volume of the
mouse. The area under the curve (AUC) for normalized clearance for
ELISA and fluorescence was determined for each conjugate at 3 and
17 days using the trapezoidal rule. The normalized fluorescence AUC
was compared to normalized ELISA AUC by a one tailed, paired Student’s t test, and a significance level of p <
0.05 was considered significant.
Total Antibody ELISA
Immulon IV 96 well plates (Fisher
Scientific, 14-245-153) were coated with mouse antihuman IgG Fc antibody
(BioLegend, 409302) overnight at 4 °C and 1 μg/mL in PBS.
Wells were then washed 3 times (PBS with 0.05% Tween-20), blocked
with 2% PBS-BSA, 0.05% Tween-20 for 2 h at room temperature, and washed
3 more times. Samples were diluted at least 1:100 in diluent (PBS,
1% BSA, 0.05% Tween-20) and incubated for 1 h at room temperature.
After sample incubation, plates were washed 3 times, and the detection
antibody, mouse antihuman IgG Fc HRP (Southern Biotech, 9040-05),
was diluted 1:10000 in diluent, added to each well, and incubated
for 1 h at room temperature. Plates were then washed 4 times and developed
using TMB substrate (Fisher Scientific, ENN301). Assay ranges for
both trastuzumab and bevacizumab were between 6 ng/mL and 1.2 μg/mL.
Biodistribution
The biodistribution of bevacizumab
conjugates was determined as previously described.[18,19,29] Briefly, 48 h after tail-vein injection
of 50 μg of bevacizumab–dye conjugate (assumed to be
in a linear clearance range due to no target binding and negligible
Fc receptor saturation), animals were euthanized and organs were resected.
Organs were then homogenized by mechanical disruption, incubated with
RIPA buffer (Fisher Scientific, NC9517624)/PBS solution supplemented
with 6 mg/mL collagenase IV (Fisher Scientific, NC9919937) for 1.5
h, disrupted using a FB-120 Sonic Dismembrator, and incubated in RIPA
buffer/0.025% trypsin-EDTA solution for 1.5 h. After homogenization,
organs were serially diluted and scanned on the Odyssey CLx scanner
to ensure fluorescence detection was in the linear range. The signal
intensity was compared to a calibration curve and normalized to organ
weight and homogenate volume in order to compute the percent injected-dose
per gram (%ID/g). Calibration standards were made in mouse plasma
and subjected to the same incubations above. The signal-to-noise ratio
(SNR) was also calculated for each organ. The SNR is defined as the
organ fluorescence minus the autofluorescence signal from control
(uninjected) mice divided by the standard deviation of autofluorescence
from the control mice. The %ID/g for each organ for Bev-AF680 and
Bev-800CW was compared by a two-tailed, paired Student’s t test. Each organ for Bev-AF680 and Bev-800CW was compared
to Paudyal et al.[30] by a two-tailed, unpaired
Student’s t- test. A significance level of p < 0.05 was considered significant.
Fluorescence Histology
of Antibody Distribution
As
previously described,[18,21] the tumor distribution of T-DM1-AF680
was analyzed using fluorescence microscopy at 1, 3, 5, and 7 days.
Briefly, nude mice were inoculated with 5 × 106 NCI-N87
cells in the rear flanks and the clinical dose (3.6 mg/kg) of T-DM1-AF680
was administered via tail-vein injection once the longest axis of
the tumor was approximately 10–12 mm. Before euthanizing mice
at the aforementioned times, Hoechst 33342 (ThermoFisher Scientific,
H3570) was administered via the tail-vein at 15 mg/kg to label functional
vasculature in the tumor.[31] After euthanizing
the mice, tumors were resected, flash frozen in OCT using isopentane
chilled on dry ice, and cut for histology on a cryostat (16-μm
slices). Before imaging, slices were stained with antimouse CD31 (BioLegend,
102402) conjugated with Alexa Fluor 555, and mouse antihuman IgG Fc
antibody (BioLegend, 409302) conjugated with Alexa Fluor 488. Microscopy
was performed using an upright Olympus FV1200 confocal microscope
equipped with a 20× objective and 405, 488, 543, and 635 lasers
(Figure S5). Tumor images were obtained
by stitching smaller images with the Olympus software. Images were
exported and analyzed using ImageJ image analysis software as described
previously.[18,21]
Results
A space-filling
model of a full IgG1 antibody (PDB code: 1igy)[7,32] (gray)
conjugated to a single molecule of AF680 (blue) and 800CW (red) shows
the relative size difference between a typical antibody and dye (Figure a). Both dyes are
shown nonspecifically conjugated to lysines on the heavy chain of
the antibody. Lysines, which are a common site for nonspecific conjugation
of small molecules or fluorescent dyes using ester chemistry, are
shown in green. (The number and placement of lysine residues will
vary between antibodies.) For bevacizumab and trastuzumab there are
86 and 90 lysines, respectively, with a majority appearing on the
heavy chain (62 and 64, respectively).[33]Figure b shows the
chemical structure of AF680 and 800CW conjugated to the amine of a
lysine on the antibody.[34] Both cyanine
dyes share a similar structure and have similar hydrophilicity; however,
AF680 has one less sulfate group, giving it a net −2 charge
compared to 800CW’s net −3 charge. Also, the optical
properties for AF680 and 800CW make them ideal for use with the 700
and 800 channels of the Odyssey CLx, respectively.
Figure 1
Space filling model of
an IgG (PDB ID: 1igy)[32] with both
AF680 (blue) and 800CW (red) attached to lysines (green) on the heavy
chain (A). Dye structures were exported from MarvinSketch as a pdb
file and merged with the IgG in Pymol. (B) Chemical structure of AF680
(top) and 800CW (bottom).
Space filling model of
an IgG (PDB ID: 1igy)[32] with both
AF680 (blue) and 800CW (red) attached to lysines (green) on the heavy
chain (A). Dye structures were exported from MarvinSketch as a pdb
file and merged with the IgG in Pymol. (B) Chemical structure of AF680
(top) and 800CW (bottom).After conjugation and purification, all antibody–dye
conjugates
were run on SDS-PAGE and the gel was scanned on the Odyssey CLx to
ensure free dye was removed (Figure S2).
This indicates less than 3% free dye remaining.[35] Differences in relative labeling of the heavy or light
chain could cause differences in antibody pharmacokinetics between
the dyes; however, the relative intensities of heavy to light chain
are similar, indicating any observed differences are likely due to
the dye and not differences in labeling location. Absorbance spectra
used for DoL characterization are included in the Supporting Information (Figure S1).Plasma clearance
for each antibody–dye conjugate was determined
by fluorescence and the total antibody clearance by ELISA. The plasma
concentration as measured by fluorescence and ELISA was normalized
to the initial concentration and fit to a biexponential decay using
PRISM. Table S1 in the Supporting Information shows the fitted parameter values. Figures and 3 show the normalized
plasma clearance and biexponential fits over 4 days (top) and 17 days
(bottom). The absolute plasma concentration time profiles are shown
in Figure S6. At a 1.2 DoL, the fluorescent
Tras-800CW exhibited faster clearance than the total trastuzumab,
even 8 h postinjection (which have nonoverlapping error bars) (Figure ). At longer times,
the beta phase clearance diverges significantly, indicating 800CW
altered the pharmacokinetics of the antibody. These data agree with
Conner et al.,[6] where the clearance of
a different antibody–800CW conjugate showed faster clearance
at a similar DoL of 1.5. At a
0.3 DoL, however, both Tras-800CW and Bev-800CW showed similar clearance
over the first several days, and only after 4 days does the clearance
diverge significantly. The AUC for the normalized plasma clearance
(Table ) shows the
fluorescence AUC is significantly different from the total antibody
AUC for all 800CW conjugates at 17 days. The serum stability of Tras-AF680
and Tras-800CW was also measured over 17 days (Figures S3 and S4). Tras-AF680 and Tras-800CW maintain 95%
and 85% of their initial signal at day 4 and >80% and >60% by
day
17, respectively, indicating serum stability/dye quenching is not
the cause of faster clearance. The lack of free dye formation in plasma
(Figure S7) and serum stability samples
indicates that dye deconjugation is likely not causing the faster
clearance of fluorescent antibody.
Figure 2
Antibody–800CW conjugate plasma
clearance. Normalized clearance
as measured by fluorescence (red) and ELISA (blue) for trastuzumab
with a DOL of 1.2 and 0.3 (left and middle, respectively), and bevacizumab
with a 0.3 DOL (right) for 800CW conjugates. Clearance over the first
4 days is shown on top. Trast, trastuzumab; Bev, bevacizumab.
Figure 3
Antibody–AF680 conjugate plasma clearance.
Normalized clearance
as measured by fluorescence (red) and ELISA (blue) for trastuzumab
with a DoL of 1.2 and 0.3 (left and middle, respectively), and bevacizumab
with a 0.3 DoL (right) for AF680 conjugates. Clearance over the first
4 days is shown on top. Trast, trastuzumab; Bev, bevacizumab.
Table 1
Normalized AUC for
Antibody-Dye Conjugates
Conjugate
AUCday 0–3(day)
AUCday 0–17(day)
Tras-1.2-800-F
0.92 ± 0.03a
1.77 ± 0.07a
Tras-1.2-800-E
1.41 ± 0.39
4.92 ± 1.16
Tras-1.2-680-F
1.26 ± 0.15
3.81 ± 0.41
Tras-1.2-680-E
1.39 ± 0.38
5.45 ± 1.82
Tras-0.3-680-F
1.27 ± 0.25
3.69 ± 1.10
Tras-0.3-680-E
1.26 ± 0.06
3.59 ± 0.92
Tras-0.3-800-F
1.13 ± 0.18
2.14 ± 0.48a
Tras-0.3-800-E
1.26 ± 0.03
3.77 ± 0.53
Bev-0.3-680-F
1.24 ± 0.06
4.48 ± 0.25
Bev-0.3-680-E
1.33 ± 0.15
4.70 ± 0.59
Bev-0.3-800-F
1.11 ± 0.06
2.45 ± 0.16a
Bev-0.3-800-E
1.24 ± 0.20
4.70 ± 1.08
Fluorescence
and ELISA AUC are significantly
different (p < 0.05).
Antibody–800CW conjugate plasma
clearance. Normalized clearance
as measured by fluorescence (red) and ELISA (blue) for trastuzumab
with a DOL of 1.2 and 0.3 (left and middle, respectively), and bevacizumab
with a 0.3 DOL (right) for 800CW conjugates. Clearance over the first
4 days is shown on top. Trast, trastuzumab; Bev, bevacizumab.Antibody–AF680 conjugate plasma clearance.
Normalized clearance
as measured by fluorescence (red) and ELISA (blue) for trastuzumab
with a DoL of 1.2 and 0.3 (left and middle, respectively), and bevacizumab
with a 0.3 DoL (right) for AF680 conjugates. Clearance over the first
4 days is shown on top. Trast, trastuzumab; Bev, bevacizumab.Fluorescence
and ELISA AUC are significantly
different (p < 0.05).In comparison, AF680 exhibits less impact on the pharmacokinetics
of the antibodies (Figure ). Even at a 1.2 DoL, Tras-AF680 shows similar clearance to
total antibody out to 9 days. At a 0.3 DoL, both trastuzumab and bevacizumab
exhibited similar clearance over 17 days. Although the biexponential
fit for Tras-AF680 appears to have a faster beta phase decay, the
data points are overlapping at each point. For Bev-AF680, the clearance
is nearly identical. Furthermore, the fluorescence AUC does not differ
significantly from total antibody for any AF680 conjugates (Table ), even at the higher
DoL. These results indicate a 0.3 DoL of AF680 does not significantly
affect antibody disposition for these antibody–dye conjugates.For non-site-specific labeling techniques, such as conjugation
to surface lysine residues using N-hydroxysuccinimide
(NHS) chemistry, the number of possible labeling sites is relatively
large. Therefore, the number of dyes per antibody is anticipated to
result in a Poisson distribution.[36−38] Assuming the nonspecific
lysine conjugation of fluorophores follows this distribution, Figure a shows the expected
fractions of the number of dyes per antibody in samples with a DoL
of 0.3 and 1.2. For the 0.3 DoL, the distribution of antibody labeling
is approximately 75% unlabeled, 22% singly labeled, and <5% with
2 or more dyes per antibody. At the higher DoL of 1.2, the fraction
of unlabeled antibody decreases (30%) and the percentage of singly
labeled increases (36%); however, the fraction of antibody with 2
or more labels also dramatically increases to 44%. When using fluorescence
detection, the unlabeled antibodies do not contribute to the overall
signal, and antibodies with 2 dyes would contribute twice as much
signal (assuming no quenching effects). Accounting for these two phenomena, Figure b and 4c show the expected theoretical contributions to the overall
fluorescent signal from a DoL of 0.3 and 1.2 (assuming no self-quenching).
For a DoL of 0.3, 74% of the measured fluorescence signal is expected
to be from antibodies with a single dye, while only 30% of the signal
is expected to be from singly labeled antibodies at a DoL of 1.2.
Importantly, the percentage of signal from antibodies with 3 or more
dyes is less than 4% of the total signal for a DoL of 0.3. Conversely,
over a third of the signal for DoL 1.2 comes from 3 or more dyes per
antibody. The 1.2 DoL also caused a slight increase in the Kd compared to no difference with 0.3 DoL (Figure d,e).
Figure 4
Theoretical dye per antibody distribution
and fluorescence contribution.
(A) Expected number of dyes per antibody for DoL 1.2 and 0.3, assuming
Poisson distribution. Theoretical fluorescence contribution for antibodies
with 1, 2, 3, or 4+ dyes per antibody at a 0.3 (B) and 1.2 (C) DoL.
(D, E) Binding curves and affinities of unlabeled trastuzumab–
and trastuzumab–dye conjugates. Tras, trastuzumab.
Theoretical dye per antibody distribution
and fluorescence contribution.
(A) Expected number of dyes per antibody for DoL 1.2 and 0.3, assuming
Poisson distribution. Theoretical fluorescence contribution for antibodies
with 1, 2, 3, or 4+ dyes per antibody at a 0.3 (B) and 1.2 (C) DoL.
(D, E) Binding curves and affinities of unlabeled trastuzumab–
and trastuzumab–dye conjugates. Tras, trastuzumab.Reduced autofluorescence in the NIR region of the
electromagnetic
spectrum has prompted the use of NIR fluorescent dyes in tissue biodistribution
studies with the Odyssey CLx scanner.[6,18,19,29] Whole organ fluorescence
scans suffer from depth of imaging artifacts and provide arbitrary
values (requiring the digest and dilution for absolute quantification)
but agree qualitatively with the organ digest results (Figure S8). Previous studies have compared 800CW
to radiolabels and have found antibody disposition is not significantly
altered at sufficiently low DoL.[20,25] Because tissue
autofluorescence is higher in the 680 nm region of the spectrum (relevant
for AF680) compared to the 800 nm region, we chose to compare the
biodistribution of AF680 and IRDye labeled antibodies. To limit variability
between animals, we compared the distribution in the same mice using
both the 700 and 800 channels on the Odyssey CLx (since there is negligible
cross talk between the dyes in the different channels). The biodistribution
of Bev-AF680 and Bev-800CW, both with a 0.3 DoL, 48 h after IV administration
is shown in Figure a. For comparison, the biodistribution 48 h after tail-vein injection
of radiolabeled bevacizumab was plotted from Paudyal et al.[30] This data set was chosen because of the matching
times, use of a residualizing label (as are IRDye800CW and AF680[27]), and lack of flushing the organs (which will
remove blood signal but could also alter tissue values). Paudyal and
colleagues quantified the distribution of a 20 μg dose of 64Cu-DOTA-bevacizumab after blocking any specific interactions.[30] The biodistribution of Bev-800CW agrees well
with the radiolabeled data, with no significant differences between
any of the organs. Although 800CW appears to impact antibody clearance
over longer times, at 48 h the similar plasma clearance (Figures and 3) and systemic distribution (Figure ) do not appear to significantly alter the
distribution at a 0.3 DoL. The Bev-AF680 distribution also agrees
well with the radiolabeled data for the liver, kidney, and spleen;
however, the signal-to-noise ratio (SNR) is less than or equal to
one (Figure b) for
several organs because of the higher autofluorescence in the 700 channel,
the 0.3 DoL, and the moderate dose (∼2.0 mg/kg). In particular,
the heart and lungs show much lower uptake for Bev-AF680 likely, because
the detectable signal is still in the range of background autofluorescence
for this dosing level, resulting in a significant difference from
Bev-800CW and 64Cu-DOTA-bevacizumab.[30] For the liver and kidney, the SNR is higher and a specific
signal can be detected over the background. The lower autofluorescence
and correspondingly high SNR for all of the organs make 800CW more
suitable for whole organ distribution studies. AF680 at a 0.3 DoL
may also be used in organ biodistribution studies, but to improve
the SNR ratio in some organs may require higher doses than the 50
μg/mouse dose used in this study.
Figure 5
Bevacizumab biodistribution
at 0.3 DoL. (A) Biodistribution of
Bev-800CW and Bev-AF680 48 h post tail-vein injection. Signal to noise
ratio (SNR) in each organ for 800CW and AF680.
Bevacizumab biodistribution
at 0.3 DoL. (A) Biodistribution of
Bev-800CW and Bev-AF680 48 h post tail-vein injection. Signal to noise
ratio (SNR) in each organ for 800CW and AF680.Despite the higher autofluorescence in whole organ biodistribution
experiments, the AF680 signal is high enough to detect the distribution
of antibodies in tumors by histology following clinical doses (e.g.,
3.6 mg/kg for ado-trastuzumab emtansine/Kadcyla). As an application
of the direct detection provided by NIR fluorophores, we conjugated
AF680 to the clinically approved antibody–drug conjugate (ADC)
T-DM1 and tracked the tumor distribution over 1 week. Administration
of T-DM1-AF680 at the clinical dose of 3.6 mg/kg resulted in a heterogeneous
distribution in NCI-N87 tumor xenografts (Figure ). Injection of Hoechst 33342 and immunofluorescence
staining with antimouse CD31 further show that the antibody disposition
is limited to cells adjacent to tumor vasculature. The heterogeneous
and perivascular distribution of the intact and internalized antibody
(AF680 is a residualizing dye[27]) is maintained
over 7 days, while anti-Fc staining shows a loss of intact antibody
(Figure S5). This is consistent with the
continuous internalization and degradation of HER2,[39] which results in antibody targeting cells close to the
vessels and a majority of the tumor never receiving the therapeutic.[40]
Figure 6
Fluorescent tumor histology following injection of a clinical
dose
(3.6 mg/kg) of T-DM1-AF680 (green) imaged at 1, 3, 5, and 7 days postinjection.
Thirty min prior to sacrifice, Hoechst 33342 (blue) was injected at
15 mg/kg to highlight functional vasculature. Ex vivo staining was done with antimouse CD31-AF555 (red) to show all (functional
and nonfunctional) tumor vasculature. Scale bar is 500 μm. Window
leveling is different for each image.
Fluorescent tumor histology following injection of a clinical
dose
(3.6 mg/kg) of T-DM1-AF680 (green) imaged at 1, 3, 5, and 7 days postinjection.
Thirty min prior to sacrifice, Hoechst 33342 (blue) was injected at
15 mg/kg to highlight functional vasculature. Ex vivo staining was done with antimouse CD31-AF555 (red) to show all (functional
and nonfunctional) tumor vasculature. Scale bar is 500 μm. Window
leveling is different for each image.
Discussion
Here we present a study of two commonly used
NIR fluorophores (Figure ) and their effects
on the pharmacokinetics of two clinically approved antibodies. The
goal of the investigation was to identify labeling conditions with
a minimal impact on antibody distribution for use in pharmacokinetic
studies. Our results agree with other literature reports of 800CW
causing increased antibody clearance and altered tissue distribution
(compared to unlabeled or radiolabeled antibodies) at DoLs greater
than 1.0 (Figure )
but lower impact at early times (<4 days) at tracer levels (DoL
= 0.3 or less). Building on these results, we tested an additional
NIR fluorophore, AF680, which has reduced plasma protein binding compared
to 800CW.[28] AF680 antibody–dye conjugates
showed nearly identical plasma clearance compared to unlabeled antibodies
at 0.3 DoL, and even at 1.2 DoL did not have a significantly different
normalized AUC (Figure , Table ). These
results should help clarify conflicting reports in the literature,
delineate the impact of NIR labeling on plasma clearance, biodistribution,
and tissue penetration studies, and aid in the selection of labeling
conditions for different applications. In particular, the ability
of fluorescence to provide cellular and subcellular resolution images
(e.g., histology) and quantitative single-cell data (e.g., flow cytometry)
makes fluorescence an attractive technique for providing high-resolution
pharmacokinetic data that cannot be obtained by other current methods.Both dyes have relative strengths and weaknesses highlighted by
these results. IRDye800CW is currently being tested in the clinic
with antibodies (e.g., Trial: NCT01508572), making it an attractive
option for antibody labeling. (The only FDA approved cyanine dye,
indocyanine green (ICG), does not have a functional group for labeling.
After NHS ester functionalization, fluorescence is significantly quenched
after antibody conjugation.[41]) The maximum
uptake of antibodies in tumors often occurs after only a couple days,
so for imaging and diagnostic applications the negligible impact of
800CW at short times (less than 4 days) would have a low impact during
this time. In fact, a higher DoL will likely maximize tumor signal,
which is important for depth of detection.[42,43] The increase in signal from the larger number of dyes per antibody
outweighs the reduction in signal from lower tumor uptake (%ID/g)
due to faster clearance. However, 800CW’s impact on antibody
disposition at longer times may limit its broad applicability in studying
the pharmacokinetic distribution of antibodies. Conversely, AF680
may be a more suitable choice for antibody clearance studies (provided
the DoL is low) and tissue distribution studies at longer time periods
(e.g., greater than 4 days) despite having greater autofluorescence
than 800CW. The higher 680 nm tissue autofluorescence, however, makes
AF680 less appropriate for biodistribution studies at low doses and
low degrees of labeling.When labeling an antibody with any
fluorophore for in vivo delivery, these results highlight
the importance of keeping the
DoL low to maximize the signal from singly labeled proteins (Figure ). The ease of labeling
proteins non-site-specifically with NHS-ester/lysine chemistry make
this convenient for studying antibody distribution in preclinical
models. The large number of surface accessible lysines, however, results
in a Poisson distribution. Because any unlabeled antibodies are not
fluorescently detected and antibodies labeled with 2 or more dyes
have approximately twice (or more) the fluorescence as a singly labeled
antibody, the total signal is skewed toward antibodies with several
dyes, which are more likely to have altered distribution. Figure shows that although
the 1.2 DoL has an average of ∼1 dye per antibody, the Poisson
distribution results in a surprising 70% of the fluorescence signal
coming from antibodies with 2 or more dyes. While the Poisson distribution
is well-known, once the unlabeled antibodies and weighting of the
fluorescence signal is taken into account, it is somewhat striking
that an average DoL of 1 is too high for measuring singly labeled
antibodies. Overlabeling antibodies with radiolabels, small molecules,
or fluorescent dyes has been shown to cause rapid clearance;[5,7,23,44,45] therefore, maximizing the signal from singly
labeled antibodies by using a DoL of 0.3 or less is critical for applications
requiring negligible impact on clearance. For both 800CW and AF680,
these results indicate a DoL of 0.3 or less has the least impact due
to less than 5% of the total signal coming from antibodies with 3
or more dyes. Although using a lower DoL results in less overall signal,
the negligible background in the NIR, and the exceptional brightness
and photostability of these dyes make both practical options for protein
distribution studies. Alternatively, site-specific labeling, such
as maleimide-cysteine chemistry, may give improved pharmacological
behavior[46,47] and signal, but these techniques typically
require modification of the antibody amino acid sequence, which could
also alter stability, distribution, and clearance.Several other
groups have examined 800CW as a tool for tracking
antibody disposition. Cohen et al. studied the effects of fluorophore
labeling on an 89Zr labeled antibody and showed antibodies
with 0.5 dyes per antibody did not show significantly different biodistribution
than cetuximab or bevacizumab with only the radiolabel.[20,25] As they increased the DoL for 800CW, the biodistribution started
to diverge from the lower DoL and radiolabeled-only antibodies. In
particular, liver uptake increased and other organ uptake decreased
with higher 800CWDoL for both bevacizumab and cetuximab.[20,25] These results suggest a sufficiently high DoL of 800CW causes increased
liver uptake, consistent with other reports showing increased hepatic
uptake of radiolabels with high DoL’s.[22] However, as Conner et al. mentioned, even at lower DoL, the effects
of 800CW may be masked by the radiolabel/desferal moiety.[6] These authors studied differences in plasma clearance
and biodistribution against unlabeled and 125I antibodies
and found the dye altered the pharmacokinetics. In this study, they
used 800CW with a DOL of 1.2–1.4 and showed high liver uptake
and faster plasma clearance than radiolabeled or ELISA measurements.
Our results are consistent with these findings, where labeling with
800CW can increase plasma clearance at times longer than 4 days. Mouse
liver has been shown to take up proteins with a high negative charge
density;[5,48] therefore, it is paramount to keep a low
DoL (for both fluorophores and radiolabels) to minimize possible alteration
of protein pharmacokinetics. Additionally, disruption of FcRn or FcRγ
binding could result in faster clearance or altered antibody distribution.
Although the exact mechanism of the altered distribution is unclear,
our work suggests a 0.3 DoL results in an undetectable difference
in antibody pharmacokinetics. Importantly, we examined the pharmacokinetics
and biodistribution in healthy animals, while these antibodies will
likely be used in animals with tumors, where TMDD may play a role.
However, the similar clearance (Figures , 3), biodistribution
(Figure ), and microscopic
tumor distribution (Figures , S5)[18] suggest the labeled antibodies accurately capture the pharmacokinetics
of unlabeled antibody.The published studies on the biodistribution
of various antibodies
and other proteins with 800CW and encouraging plasma clearance results
with AF680 warranted a comparison of the dye effects on the measured
biodistribution. For both Bev-800CW and Bev-AF680 at a 0.3 DoL, the
plasma clearance was not significantly different at 48 h from unlabeled
antibodies (measured with ELISA), prompting us to compare the systemic
biodistribution. The biodistribution measured with both dyes (Figure a) agreed well for
organs where there was sufficient signal intensity relative to autofluorescence
variability (liver and kidney); however, the SNR was too low in several
other organs to distinguish the signal from the higher background
for AF680. The Bev-800CW 48 h biodistribution agreed well with another
published biodistribution study using the residualizing 64Cu labeled bevacizumab at 48 h, supporting the aforementioned studies
showing similar antibody disposition at low DoL.[30] These data also qualitatively agree with other published
biodistribution data of bevacizumab,[25,49] although in
some of these studies the mice were exsanguinated (resulting in less
measured organ uptake) or the biodistribution measurements were performed
at different times post injection, making direct comparisons difficult.
For imaging agents, 800CW provides a superior SNR and contrast to
noise ratio (CNR) compared to AF680, making it a more suitable choice
for live in vivo imaging.Despite the higher
autofluorescence in the 680 nm range, the signal
from AF680 is sufficient to detect in targeted tumors for several
days at clinical doses (Figure ). Both AF680 and 800CW can be detected in tumors using fresh-frozen
tissue sectioning. Here we used thicker (16 μm) slices versus
a more typical 5 μm slice thickness to improve signal detection.
Both dyes can be excited with a 635 and 750 nm laser, respectively
(∼40% of the maximum absorption for AF680 and 55–60%
of the maximum absorption for 800CW) and detected with photomultiplier
tubes. Since both dyes are residualizing, the signal results from
the total targeted antibody, in contrast to Fc labeling (Figure S5), for example,[50] which only labels intact protein. This can be useful for applications
such as studying ADC’s, where the degraded antibody correlates
with the released payload (e.g., noncleavable, impermeable small molecules),
so NIR detection can be used as a surrogate for small-molecule delivery.[51]We examined two dyes in detail for this
study based on their current
use in clinical trials (800CW) and the low plasma protein binding
(and associated low nonspecific dye interactions) of AF680.[28] There are a variety of other NIR dyes with different
physicochemical properties that are commercially available, although
not all of them have disclosed structures. For example, our lab has
examined the residualization rates, permeability, and plasma protein
binding of several NIR dyes.[27,28] Although some of these
fluorophores may have similar properties in vitro, their in vivo behavior may differ significantly.
We have shown that the zwitterionic dye ZW800 has similar plasma protein
binding as AF680[28] and beneficial rapid
clearance when conjugated to small molecule imaging agents, consistent
with literature reports.[52] Additionally,
its fluorescence is in the optimal 800 nm range. However, in contrast
to labeling small molecules, after conjugation to an antibody, there
was a gradual change in the absorbance spectra upon incubation in
plasma and a rapid loss of fluorescent signal after injecting in vivo (data not shown). In our hands, therefore, this
dye is more suitable for rapidly cleared imaging agents than monoclonal
antibodies. This result emphasizes that although the structures of
other cyanine based dyes (Cy5.5, SulfoCy7, etc.) may be similar to
AF680 and 800CW, they each affect antibody disposition differently
(e.g., refs (16 and 26)). Similar
to radiolabeling techniques, the modification of any protein, however
slight, can affect different proteins in unique ways, particularly
if the modified residue (e.g., lysine, cysteine, tyrosine, etc.) is
located in an important binding region for that molecule. The slow
clearance of antibodies and complex interactions with the immune system
and the FcRn receptor make them sensitive even to small interactions
from fluorophores or surface residues/charges.[53−55] The conjugation
of fluorophores to smaller proteins or agents may not have much of
an impact on the distribution if they are rapidly cleared by the kidneys,[6] but similar methods of validation for distribution
should be employed. This work can be used to help guide the selection
of fluorophores depending on the particular application in a manner
analogous to the selection of chelators and radioisotopes for radiolabeling
techniques.In conclusion, to limit the impact of non-site-specific
fluorophore
labeling on antibody pharmacokinetics, these results show that the
DoL should be kept at or below 0.3 dyes/antibody. At this tracer DoL,
AF680 showed negligible impact on plasma clearance out to 17 days
compared to unlabeled antibody, while 800CW showed similar clearance
out to 4 days but faster clearance at later times. Both dyes can be
used with tissue distribution studies; however, the greater autofluorescence
for AF680 requires higher doses to achieve a sufficient SNR while
the signal from 800CW is well above the autofluorescence background
in the 800 nm range. For short-term in vivo studies
(less than 4 days), the reduced autofluorescence, greater SNR and
CNR, and increased tissue penetration of light for 800CW make it suitable
for tissue biodistribution studies or live in vivo imaging. Although both dyes have distinct advantages and limitations,
the efficient optical properties, stability, ease of use, and low
autofluorescence for both fluorophores provide broad utility in studying
protein pharmacokinetics in the preclinical setting.
Authors: Elisabeth G E de Vries; Thijs H Oude Munnink; Marcel A T M van Vugt; Wouter B Nagengast Journal: Cancer Discov Date: 2011-06-01 Impact factor: 39.397
Authors: Robert P Lyon; Tim D Bovee; Svetlana O Doronina; Patrick J Burke; Joshua H Hunter; Haley D Neff-LaFord; Mechthild Jonas; Martha E Anderson; Jocelyn R Setter; Peter D Senter Journal: Nat Biotechnol Date: 2015-06-15 Impact factor: 54.908
Authors: Jack Hoppin; Kelly Davis Orcutt; Jacob Y Hesterman; Matthew D Silva; Dengfeng Cheng; Christian Lackas; Mary Rusckowski Journal: J Pharmacol Exp Ther Date: 2011-02-11 Impact factor: 4.030
Authors: Arne R M van der Bilt; Anton G T Terwisscha van Scheltinga; Hetty Timmer-Bosscha; Carolien P Schröder; Linda Pot; Jos G W Kosterink; Ate G J van der Zee; Marjolijn N Lub-de Hooge; Steven de Jong; Elisabeth G E de Vries; Anna K L Reyners Journal: Clin Cancer Res Date: 2012-09-26 Impact factor: 12.531
Authors: S Ito; N Muguruma; S Hayashi; S Taoka; T Bando; K Inayama; M Sogabe; T Okahisa; S Okamura; H Shibata; T Irimura; K Takesako; S Shibamura Journal: Bioorg Med Chem Date: 1998-05 Impact factor: 3.641
Authors: B E Rogers; F N Franano; J R Duncan; W B Edwards; C J Anderson; J M Connett; M J Welch Journal: Cancer Res Date: 1995-12-01 Impact factor: 12.701
Authors: David S Wishart; Craig Knox; An Chi Guo; Savita Shrivastava; Murtaza Hassanali; Paul Stothard; Zhan Chang; Jennifer Woolsey Journal: Nucleic Acids Res Date: 2006-01-01 Impact factor: 16.971
Authors: Kirstin A Zettlitz; Christopher M Waldmann; Wen-Ting K Tsai; Richard Tavaré; Jeffrey Collins; Jennifer M Murphy; Anna M Wu Journal: J Nucl Med Date: 2019-03-15 Impact factor: 10.057
Authors: Kirstin A Zettlitz; Wen-Ting K Tsai; Scott M Knowles; Naoko Kobayashi; Timothy R Donahue; Robert E Reiter; Anna M Wu Journal: J Nucl Med Date: 2018-03-30 Impact factor: 10.057
Authors: Ian Nessler; Eshita Khera; Steven Vance; Anna Kopp; Qifeng Qiu; Thomas A Keating; Adnan O Abu-Yousif; Thomas Sandal; James Legg; Lorraine Thompson; Normann Goodwin; Greg M Thurber Journal: Cancer Res Date: 2020-01-15 Impact factor: 12.701
Authors: Patty Wong; Lin Li; Junie Chea; Weidong Hu; Erasmus Poku; Todd Ebner; Nicole Bowles; Jeffrey Y C Wong; Paul J Yazaki; Stephen Sligar; John E Shively Journal: Bioconjug Chem Date: 2020-01-30 Impact factor: 4.774