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Integrated hemolysis monitoring for bottom-up protein bioanalysis
Frédérique L. van Holthoon, William D. van Dongen, Anne J. Kleinnijenhuis
Triskelion, Zeist, The Netherlands
Introduction
For clinical development of biopharmaceuticals it is required
to investigate their in vivo behavior using validated
bioanalytical methods. In guidances for bioanalytical method
validation1-3 it is strongly recommended to investigate matrix
effects for the analyte(s) in hemolyzed plasma or serum, in
addition to clean matrix. During hemolysis, the contents of red
blood cells, mainly hemoglobin, will be released into the
surrounding matrix. When UPLC-MS (ultra-performance liquid
chromatography - mass spectrometry) is applied, hemolysis
can affect analyte suppression or enhancement and the
extraction efficiency4 or analyte stability.5
Highlights
● Triskelion developed an LC-MS method
module to quantify hemolysis.
● Analyte protein and hemoglobin are
analyzed simultaneously, which saves time
and costs and requires no additional
sample volume.
● The specific module is applicable in
direct digestion approach and after non-
selective protein purification.
● The basic concept is widely applicable.
● Comparison of the results obtained after
visual inspection, UV-VIS detection and LC-
MS of two tryptic hemoglobin peptide
targets.
Keywords
Hemolysis, UPLC-MS, bioanalysis,
hemoglobin, therapeutic proteins
Figure 1: plasma samples exhibiting different degrees of hemolysis.
There is no strict definition of when a sample is hemolyzed,
but there is a consensus that plasma containing >2%
hemolyzed whole blood is considered to be hemolyzed.3,6
Therefore it makes sense to at least include a 2% hemolyzed
sample in the validation set. When it is demonstrated that
hemolysis does not affect the quantitative results there will be
no analytical issues, but what to do when there is an effect or
even a gradual effect already below 2% hemolysis? How will
you assess the sample results when they exhibit varying
degrees of hemolysis (see Figure 1) and how should the
hemolysis be quantified?
©2019 Triskelion
Triskelion B.V.
Utrechtseweg 48
P.O. Box 844
3700 AV Zeist
The Netherlands
T +31 88 866 2800
E info@triskelion.nl
www.triskelion.nl
2Integrated hemolysis LC-MS monitoring
Target selection
Tryptic peptide targets were selected from
hemoglobin, see Table 1. Besides applying typical
theoretical and experimental target selection
criteria, special attention was given to the generic
applicability of the target to matrices obtained from
the most common (laboratory) animals. The tryptic
peptide LLVVYPWTQR has only few variations
considering the summarized animals in Table 1.
However, LC and MS/MS settings, see the
Experimental section, should be adapted to
implement a suitable module when a target
variation is analyzed.
While visual inspection of samples is simple and
cost-effective, it is very subjective. A color chart
could improve results but is still not completely
objective. Determination of hemolysis using UV-VIS
is quick and easy, but only feasible when there is
sufficient sample material available. It would be
preferable to systematically provide samples with an
objective value for hemolysis7 without using
additional sample volume, whilst saving time and
costs. Therefore Triskelion developed an UPLC-MS
module to meet these preferences. In this approach
a tryptic peptide from hemoglobin, which causes the
red color of blood through the porphyrin rings in the
heme groups, is targeted. The LC-MS results are
compared with UV-VIS detection and visual
inspection. The LC-MS method module can be
applied when simultaneously therapeutic proteins
are quantified in biological matrix after non-selective
protein purification and/or direct digestion. The
basic concept can be implemented in several other
applications and can be integrated with existing
quantitative protein LC-MS methods, but needs to
be modified considering the sample purification
steps and analytical requirements for the analyte of
interest.
Table 1: tryptic targets from hemoglobin.
Experimental
A set of serum samples, with different degrees of
hemolysis, was visually inspected, the UV-VIS
absorbance was measured and the peptides
LLVVYPWTQR and VNVDEVGGEALGR were
determined after tryptic digestion and UPLC-MS/MS.
Visually, samples were classified as 0, 0.05 or 0.1
(no, little, heavy hemolysis). UV absorbance was
measured at 570 nm (reference 655 nm)8 using 50 µl
sample with a SpectraMax M5 (Molecular devices).
Samples were digested with trypsin and analyzed
using an HSS T3 column (100 x 2.1 mm) on a Waters
Xevo TQ-S. The LLVVYPWTQR precursor [M+2H]2+
ions had m/z 637.85 and the quantifier and qualifier
ions were either the y4
+ or the y5
+ product ions at
m/z 590.30 and 687.35. The VNVDEVGGEALGR
precursor [M+2H]2+ ions had m/z 657.85 and the
quantifier and qualifier ions were the y7
+ and y8
+
product ions at m/z 659.35 and 758.40, respectively.
3
Results and discussion
Depending on the animal species of interest, LC-
MS/MS targets can be selected according to Table 1.
These targets are either generic or slightly different
between animal species. As an example, in Figure 2
extracted chromatograms are provided for non-
hemolyzed feline serum (blank) and hemolyzed
feline serum, which show the signals for a digested
analyte protein and for a hemoglobin target, after
having applied a direct digestion approach.
Figure 2: Extracted chromatograms of analyte protein
target and LLV hemoglobin target in (hemolyzed) feline
serum.
The selected part of the hemoglobin sequence is
identical between cat, human, cynomolgus monkey
and others. In Figure 3 the results of a comparative
analysis are shown for a set of cynomolgus monkey
serum samples. The serum samples were visually
inspected (indicated by the size and color of the
spheres), their UV-VIS absorbance was determined
(x-axis) and the hemoglobin LLV target was analyzed
using LC-MS (y-axis). In Figure 4 the results obtained
for the same cynomolgus serum samples are shown
in a histogram, including the results for the VNV
target and a second visual inspection.
Figure 3: Results of visual inspection, UV-VIS absorbance
and LC-MS analysis (LLV) of a set of cynomolgus monkey
serum samples.
Figures 3 and 4 illustrate that the UV-VIS and LC-MS
results correlated quite well in the analyzed
samples. The visual inspection however, most
probably due to its subjectivity, could lead to wrong
assignment of the extent of hemolysis. Typically,
hemolysis is visible in serum or plasma starting at a
hemoglobin concentration of 200 mg/L9 or 300
mg/L10. The marker protein used to determine
hemolysis in this study was hemoglobin. The normal
hemoglobin levels in whole blood (WHO reference
values) are 13.8-17.2 g/dL for adult males and 12.1-
15.1 g/dL for adult (non-pregnant) females.
Figure 4: Histogram of the results of visual inspection, UV-
VIS absorbance and LC-MS analysis (LLV and VNV) of a set
of cynomolgus monkey serum samples.
Integrated hemolysis LC-MS monitoring
References
1EMA. Guideline on Bioanalytical Method Validation. EMA, Committee for
Medicinal Products for Human Use (CHMP), London, UK (2011).
2US FDA. Guidance for Industry: Bioanalytical Method Validation. US Department
of Health and Human Services, US FDA, Center for Drug Evaluation and Research,
Rockville, MD, USA (2018).
3ICH. Bioanalytical Method Validation M10. ICH Harmonized Guideline (draft
version, endorsed on 26 February 2019).
4Hughes NC, Bajaj N, Fan J, Wong EYK. Assessing the matrix effects of hemolyzed
samples in bioanalysis. Bioanalysis 2009; 1: 1057–1066.
5Kleinnijenhuis AJ, Staal YCM, Duistermaat E, Engel R, Woutersen RA. The
determination of exogenous formaldehyde in blood of rats during and after
inhalation exposure. Food and Chemical Toxicology 2013; 52: 105-112.
Conclusions and future outlook
In the present study the principle of quantifying the
extent of hemolysis using an LC-MS method module
was shown. The basic methodology and approach
can also be applied for parallel assessment of other
parameters in particular sample types, such as
hyperlipidemic samples (after assignment of
representative markers) or icteric samples
(bilirubin). It should of course be noted that the
sample purification procedure for the analyte and
the parameter assessed in parallel need to be
(made) compatible to obtain accurate results.
A calibration curve was prepared from human
hemoglobin (Sigma-Aldrich, product no. H7379) in
pooled gender human plasma in the 17-2717 µg/ml
concentration range and the results are shown in
Figure 5 (blue points). Spikes of human hemoglobin
were prepared at 1358 µg/ml in cynomolgus
monkey, feline and human serum (orange points),
which corresponds to approximately 1% hemolysis.
The mean obtained recovery was 89% (RSD 15%),
showing acceptable method performance.
Finally, three 2% human hemolyzed serum and
plasma samples were purchased and analyzed using
the presented method. These samples were found
to contain 2.2 mg/ml (female serum), 3.1 mg/ml
(female plasma) and 3.1 mg/ml (pooled plasma)
hemoglobin. Although detailed information about
the donors and preparation of the hemolysate was
not available, these concentration are close to the
normal hemoglobin levels. As the presence of
bilirubin (icteric samples) or lipemia/turbidity may
impair visual inspection of samples9 and UV-VIS
measurements, LC-MS analysis of hemoglobin
targets might provide more accurate and objective
values for the extent of hemolysis.
Figure 5: Calibration curve of human hemoglobin in
pooled gender human plasma in the 17-2717 µg/ml
concentration range (blue) and spikes of human
hemoglobin in cynomolgus monkey, feline and human
serum (orange), LLV hemoglobin target.
6Ingelse B, et al. European Bioanalysis Forum: recommendation on dealing with
hemolyzed and hyperlipidemic matrices (White paper). Bioanalysis 2014; 6: 3113-
3120.
7Lippi G, Cadamuro J, Von Meyer A, Simundic A. Practical recommendations for
managing hemolyzed samples in clinical chemistry testing. Clinical Chemistry and
Laboratory Medicine 2018; 56: 718-727.
8Saha K, Moyana DF, Rotello VM. Protein coronas suppress the hemolytic activity
of hydrophilic and hydrophobic nanoparticles. Materials Horizons 2014; 1: 102–
105.
9Dolci A, Panteghini M. Harmonization of automated hemolysis index assessment
and use: Is it possible? Clinica Chimica Acta 2014; 432: 38-43.
10Thomas L. Haemolysis as Influence & Interference Factor. Journal of the
International Federation of Clinical Chemistry and Laboratory Medicine 2002; 13:
95-98.
4Integrated hemolysis LC-MS monitoring

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Integrated hemolysis monitoring for bottom-up protein bioanalysis

  • 1. 1 Integrated hemolysis monitoring for bottom-up protein bioanalysis Frédérique L. van Holthoon, William D. van Dongen, Anne J. Kleinnijenhuis Triskelion, Zeist, The Netherlands Introduction For clinical development of biopharmaceuticals it is required to investigate their in vivo behavior using validated bioanalytical methods. In guidances for bioanalytical method validation1-3 it is strongly recommended to investigate matrix effects for the analyte(s) in hemolyzed plasma or serum, in addition to clean matrix. During hemolysis, the contents of red blood cells, mainly hemoglobin, will be released into the surrounding matrix. When UPLC-MS (ultra-performance liquid chromatography - mass spectrometry) is applied, hemolysis can affect analyte suppression or enhancement and the extraction efficiency4 or analyte stability.5 Highlights ● Triskelion developed an LC-MS method module to quantify hemolysis. ● Analyte protein and hemoglobin are analyzed simultaneously, which saves time and costs and requires no additional sample volume. ● The specific module is applicable in direct digestion approach and after non- selective protein purification. ● The basic concept is widely applicable. ● Comparison of the results obtained after visual inspection, UV-VIS detection and LC- MS of two tryptic hemoglobin peptide targets. Keywords Hemolysis, UPLC-MS, bioanalysis, hemoglobin, therapeutic proteins Figure 1: plasma samples exhibiting different degrees of hemolysis. There is no strict definition of when a sample is hemolyzed, but there is a consensus that plasma containing >2% hemolyzed whole blood is considered to be hemolyzed.3,6 Therefore it makes sense to at least include a 2% hemolyzed sample in the validation set. When it is demonstrated that hemolysis does not affect the quantitative results there will be no analytical issues, but what to do when there is an effect or even a gradual effect already below 2% hemolysis? How will you assess the sample results when they exhibit varying degrees of hemolysis (see Figure 1) and how should the hemolysis be quantified? ©2019 Triskelion Triskelion B.V. Utrechtseweg 48 P.O. Box 844 3700 AV Zeist The Netherlands T +31 88 866 2800 E info@triskelion.nl www.triskelion.nl
  • 2. 2Integrated hemolysis LC-MS monitoring Target selection Tryptic peptide targets were selected from hemoglobin, see Table 1. Besides applying typical theoretical and experimental target selection criteria, special attention was given to the generic applicability of the target to matrices obtained from the most common (laboratory) animals. The tryptic peptide LLVVYPWTQR has only few variations considering the summarized animals in Table 1. However, LC and MS/MS settings, see the Experimental section, should be adapted to implement a suitable module when a target variation is analyzed. While visual inspection of samples is simple and cost-effective, it is very subjective. A color chart could improve results but is still not completely objective. Determination of hemolysis using UV-VIS is quick and easy, but only feasible when there is sufficient sample material available. It would be preferable to systematically provide samples with an objective value for hemolysis7 without using additional sample volume, whilst saving time and costs. Therefore Triskelion developed an UPLC-MS module to meet these preferences. In this approach a tryptic peptide from hemoglobin, which causes the red color of blood through the porphyrin rings in the heme groups, is targeted. The LC-MS results are compared with UV-VIS detection and visual inspection. The LC-MS method module can be applied when simultaneously therapeutic proteins are quantified in biological matrix after non-selective protein purification and/or direct digestion. The basic concept can be implemented in several other applications and can be integrated with existing quantitative protein LC-MS methods, but needs to be modified considering the sample purification steps and analytical requirements for the analyte of interest. Table 1: tryptic targets from hemoglobin. Experimental A set of serum samples, with different degrees of hemolysis, was visually inspected, the UV-VIS absorbance was measured and the peptides LLVVYPWTQR and VNVDEVGGEALGR were determined after tryptic digestion and UPLC-MS/MS. Visually, samples were classified as 0, 0.05 or 0.1 (no, little, heavy hemolysis). UV absorbance was measured at 570 nm (reference 655 nm)8 using 50 µl sample with a SpectraMax M5 (Molecular devices). Samples were digested with trypsin and analyzed using an HSS T3 column (100 x 2.1 mm) on a Waters Xevo TQ-S. The LLVVYPWTQR precursor [M+2H]2+ ions had m/z 637.85 and the quantifier and qualifier ions were either the y4 + or the y5 + product ions at m/z 590.30 and 687.35. The VNVDEVGGEALGR precursor [M+2H]2+ ions had m/z 657.85 and the quantifier and qualifier ions were the y7 + and y8 + product ions at m/z 659.35 and 758.40, respectively.
  • 3. 3 Results and discussion Depending on the animal species of interest, LC- MS/MS targets can be selected according to Table 1. These targets are either generic or slightly different between animal species. As an example, in Figure 2 extracted chromatograms are provided for non- hemolyzed feline serum (blank) and hemolyzed feline serum, which show the signals for a digested analyte protein and for a hemoglobin target, after having applied a direct digestion approach. Figure 2: Extracted chromatograms of analyte protein target and LLV hemoglobin target in (hemolyzed) feline serum. The selected part of the hemoglobin sequence is identical between cat, human, cynomolgus monkey and others. In Figure 3 the results of a comparative analysis are shown for a set of cynomolgus monkey serum samples. The serum samples were visually inspected (indicated by the size and color of the spheres), their UV-VIS absorbance was determined (x-axis) and the hemoglobin LLV target was analyzed using LC-MS (y-axis). In Figure 4 the results obtained for the same cynomolgus serum samples are shown in a histogram, including the results for the VNV target and a second visual inspection. Figure 3: Results of visual inspection, UV-VIS absorbance and LC-MS analysis (LLV) of a set of cynomolgus monkey serum samples. Figures 3 and 4 illustrate that the UV-VIS and LC-MS results correlated quite well in the analyzed samples. The visual inspection however, most probably due to its subjectivity, could lead to wrong assignment of the extent of hemolysis. Typically, hemolysis is visible in serum or plasma starting at a hemoglobin concentration of 200 mg/L9 or 300 mg/L10. The marker protein used to determine hemolysis in this study was hemoglobin. The normal hemoglobin levels in whole blood (WHO reference values) are 13.8-17.2 g/dL for adult males and 12.1- 15.1 g/dL for adult (non-pregnant) females. Figure 4: Histogram of the results of visual inspection, UV- VIS absorbance and LC-MS analysis (LLV and VNV) of a set of cynomolgus monkey serum samples. Integrated hemolysis LC-MS monitoring
  • 4. References 1EMA. Guideline on Bioanalytical Method Validation. EMA, Committee for Medicinal Products for Human Use (CHMP), London, UK (2011). 2US FDA. Guidance for Industry: Bioanalytical Method Validation. US Department of Health and Human Services, US FDA, Center for Drug Evaluation and Research, Rockville, MD, USA (2018). 3ICH. Bioanalytical Method Validation M10. ICH Harmonized Guideline (draft version, endorsed on 26 February 2019). 4Hughes NC, Bajaj N, Fan J, Wong EYK. Assessing the matrix effects of hemolyzed samples in bioanalysis. Bioanalysis 2009; 1: 1057–1066. 5Kleinnijenhuis AJ, Staal YCM, Duistermaat E, Engel R, Woutersen RA. The determination of exogenous formaldehyde in blood of rats during and after inhalation exposure. Food and Chemical Toxicology 2013; 52: 105-112. Conclusions and future outlook In the present study the principle of quantifying the extent of hemolysis using an LC-MS method module was shown. The basic methodology and approach can also be applied for parallel assessment of other parameters in particular sample types, such as hyperlipidemic samples (after assignment of representative markers) or icteric samples (bilirubin). It should of course be noted that the sample purification procedure for the analyte and the parameter assessed in parallel need to be (made) compatible to obtain accurate results. A calibration curve was prepared from human hemoglobin (Sigma-Aldrich, product no. H7379) in pooled gender human plasma in the 17-2717 µg/ml concentration range and the results are shown in Figure 5 (blue points). Spikes of human hemoglobin were prepared at 1358 µg/ml in cynomolgus monkey, feline and human serum (orange points), which corresponds to approximately 1% hemolysis. The mean obtained recovery was 89% (RSD 15%), showing acceptable method performance. Finally, three 2% human hemolyzed serum and plasma samples were purchased and analyzed using the presented method. These samples were found to contain 2.2 mg/ml (female serum), 3.1 mg/ml (female plasma) and 3.1 mg/ml (pooled plasma) hemoglobin. Although detailed information about the donors and preparation of the hemolysate was not available, these concentration are close to the normal hemoglobin levels. As the presence of bilirubin (icteric samples) or lipemia/turbidity may impair visual inspection of samples9 and UV-VIS measurements, LC-MS analysis of hemoglobin targets might provide more accurate and objective values for the extent of hemolysis. Figure 5: Calibration curve of human hemoglobin in pooled gender human plasma in the 17-2717 µg/ml concentration range (blue) and spikes of human hemoglobin in cynomolgus monkey, feline and human serum (orange), LLV hemoglobin target. 6Ingelse B, et al. European Bioanalysis Forum: recommendation on dealing with hemolyzed and hyperlipidemic matrices (White paper). Bioanalysis 2014; 6: 3113- 3120. 7Lippi G, Cadamuro J, Von Meyer A, Simundic A. Practical recommendations for managing hemolyzed samples in clinical chemistry testing. Clinical Chemistry and Laboratory Medicine 2018; 56: 718-727. 8Saha K, Moyana DF, Rotello VM. Protein coronas suppress the hemolytic activity of hydrophilic and hydrophobic nanoparticles. Materials Horizons 2014; 1: 102– 105. 9Dolci A, Panteghini M. Harmonization of automated hemolysis index assessment and use: Is it possible? Clinica Chimica Acta 2014; 432: 38-43. 10Thomas L. Haemolysis as Influence & Interference Factor. Journal of the International Federation of Clinical Chemistry and Laboratory Medicine 2002; 13: 95-98. 4Integrated hemolysis LC-MS monitoring