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Bioanalytical method validation
guidelines for ligand binding assays
1
Shane Lobo
Contents:
 Introduction
 Ligand binding assays
 Key reagents
 Method development
 Validation parameters
 Selectivity
 Sensitivity
 Precision
 Accuracy
 Recovery
 Stability
 Reproducibility
 Linearity
 Validated Method: Use, Data Analysis, and Reporting
 Incurred sample reanalysis
 Documentation
 References
2
Introduction:
Bioanalytical Method relates specifically to determine the
concentration of drug or its metabolite or both in biological
matrix such as plasma, serum, urine, etc.
Bioanalytical information used in human clinical non- human
(preclinical) studies requiring pharmacokinetic evaluation.
Bioanalytical method validation includes all of the procedures
that demonstrate that a particular method used for quantitative
measurement of analytes in a given biological matrix, such as
blood, plasma, serum, or urine, is reliable and reproducible for
the intended use.
3
4
Ligand binding assays:
Ligand-binding assays (LBAs) are methods used to detect
and measure a macromolecular interaction between a
ligand and a binding molecule.
LBAs are used to characterize and define the
pharmacokinetic, pharmacodynamic and immunogenic
properties of a therapeutic antibody in nonclinical and
clinical studies.
In LBAs, a therapeutic monoclonal antibody is considered
to be the ligand, or analyte of interest, while the binding
molecule is usually a target protein (e.g., cytokines or
receptors that the therapeutic antibody targets), or an anti-
idiotypic antibody directed against the therapeutic
antibody.
5
Key Reagents:
Key reagents, such as reference standards (calibration
standards, quality control samples), antibodies, tracers, and
matrices should be characterized appropriately and stored under
defined conditions.
The purity of the reference standards used to prepare spiked
samples can affect study data. For this reason, authenticated
analytical reference standards of known quality and purity
should be used. If possible the reference standards should be
identical to the analyte.
Assay re-optimization or validation may be important when
there are changes in key reagents.
6
Method development:
A specific, detailed, written description of the bioanalytical
method should be established. This can be in the form of a
protocol, study plan, report, and/or SOP.
Immunoassay method development comprises a selection of the
following:
Assay reagents
Assay format
Batch size
7
Selectivity:
Selectivity is the extent to which the analyte may be
determined without interference from other components
in a mixture.
If the response is distinguished from all other responses,
the method is said to be selective.
Two selectivity issues should be considered:
Interference from Substances Physicochemically Similar
to the Analyte.
Matrix Effects Matrix effects should be evaluated.
8
ACCURACY:
The accuracy of an analytical method describes the closeness of
mean test results obtained by the method to the actual value
(concentration) of the analyte.
Accuracy is determined by replicate analysis of samples
containing known amounts of the analyte (i.e., QCs).
Accuracy should be measured using a minimum of five
determinations per concentration.
A minimum of three concentrations in the range of expected study
sample concentrations is recommended.
ACCEPTANCE CRITERIA;
The mean value should be within 20% of the nominal value
except at LLOQ, where it should not deviate by more than 25%.
9
Precision:
Closeness of individual measures of an analyte when the
procedure is applied repeatedly to multiple aliquots of a
single homogeneous volume of biological matrix.
A minimum of three concentrations in the range of
expected study sample concentrations is recommended.
Acceptance criteria;
The precision determined at each concentration level
should not exceed 20% of the CV except for the LLOQ,
where it should not exceed 25% of the CV.
10
Within run precision:
Within-run (also known as intra-batch precision or
repeatability) is an assessment of the precision
during a single analytical run.
Between run precision:
Between-run precision (also known as interbatch
precision or repeatability), is a measurement of the
precision with time, and may involve different
analysts, equipment, reagents, and laboratories.
11
Recovery:
The recovery of an analyte in an assay is the detector response
obtained from an amount of the analyte added to and extracted from
the biological matrix, compared to the detector response obtained
for the true concentration of the pure authentic standard.
The recovery allows to determine the percent of lost drug during
sample preparation.
Extent of recovery of an analyte and of the internal standard should
be consistent, precise, and reproducible.
Recovery experiments should be performed by comparing the
analytical results for extracted samples at three concentrations (low,
medium, and high) with unextracted standards that represent 100%
recovery .
12
Calibration curve:
A calibration (standard) curve is the relationship between
instrument response and known concentrations of the analyte.
The relationship between response and concentration should be
continuous and reproducible.
A calibration curve should consist of a blank sample, a zero
sample and at least six non-zero samples covering the expected
range, including LLOQ.
Method validation experiments should include a minimum of
six runs conducted over several days, with at least six
concentrations (including LLOQ, low, medium, and high)
analyzed in duplicate in each run.
13
Lower Limit of Quantification (LLOQ):
The lowest standard on the calibration curve should be accepted as
the LLOQ if the following conditions are met:
The analyte response at the LLOQ should be at least five times the
response compared to blank response.
Analyte peak (response) should be identifiable, discrete, and
reproducible, and the back-calculated concentration should have
precision that does not exceed 25% of the CV and accuracy within
25% of the nominal concentration.
The LLOQ should be established using at least five samples and
determining coefficient of variation and/or appropriate confidence
intervals.
14
Upper Limit of Quantification (ULOQ) :
The highest standard will define the ULOQ of an
analytical method.
Analyte peak (response) should be reproducible
and the back-calculated concentration should have
precision that does not exceed 20% of the CV and
accuracy within 20% of the nominal concentration.
15
Calibration Curve/Concentration-Response:
Selection of weighting and use of a complex
regression equation should be justified.
Standards/calibrators should not deviate by more
than 20% of nominal concentrations, except at
LLOQ where the standard/calibrator should not
deviate by more than 25%.
The acceptance criterion for the standard curve is
that at least 75% of non-zero standards should
meet the above criteria, including the LLOQ.
16
Quality control samples:
At least 3 concentrations of QCs in duplicate should be
incorporated into each run as follows: one within three
times the LLOQ (low QC), one in the midrange (middle
QC) and one approaching the high end (high QC) of the
range of the expected study concentrations
The minimum number of QCs should be at least 5% of
the number of unknown samples or six total QCs
whichever is greater
17
It is recommended that calibration standards and QCs
be prepared from separate stock solutions. A single
source of blank matrix may also be used, provided
absence of matrix effects on extraction recovery and
detection has been verified.
Acceptance Criteria:
At least 67% (e.g., at least 4 out of 6) of the QCs
concentration results should be within 20% of their
respective nominal (theoretical) values.
At least 50% of QCs at each level should be within
20% of their nominal concentrations.
18
Sensitivity:
Sensitivity is defined as the lowest analyte
concentration that can be measured with
acceptable accuracy and precision (i.e., LLOQ).
The LLOQ was established using at least six
samples and determining the %CV.
19
Reproducibility:
Assessed by replicate measurements using the
assay, including QCs and possibly incurred
samples.
Reinjection reproducibility should be evaluated
to determine if an analytical run could be
reanalyzed in the case of instrument
interruptions.
20
Stability:
The chemical stability of an analyte in a given
matrix under specific conditions for given time
intervals is assessed in several ways
Pre-study stability evaluations should cover the
expected sample handling and storage conditions
during the conduct of the study, including
conditions at the clinical site, during shipment and
at all other secondary sites
21
The procedure should also include an evaluation of
analyte stability in stock solution
Stock solutions of the analyte for stability evaluation
should be prepared in an appropriate solvent at known
concentrations. Stability samples should be compared to
freshly made calibrators and/or freshly made QCs
At least three replicates at each of the low and high
concentrations should be assessed
Stability sample results should be within 15% of
nominal concentrations
22
23
Validated Method: Use, Data
Analysis and Reporting
Calibration curves and QCs should be included in all analytical
runs.
The QCs should be used to accept or reject the run.
All study samples from a subject should be analyzed in a single run
Carryover should be assessed and monitored during analysis
Incurred sample reanalysis (ISR) should be performed
24
Incurred sample reanalysis:
To verify the reliability of the reported subject sample
analyte concentrations.
Conducted by repeating the analysis of a subset of subject
samples from a given study in 5 separate runs on different
days to critically support the precision and accuracy
measurements established with spiked QCs; the original
and repeat analysis is conducted using the same
bioanalytical method procedures.
25
SOPs should be established and followed to address:
The total number of ISR samples should be 7% of the study sample
size.
In selecting samples for reanalysis, the PK profile should be
provided and must include assessments around Cmax and in the
elimination phase for all study subjects.
Two-thirds (67%) of the repeated sample results should be within
20% for small molecules and 30% for large molecules.
% Difference= (Repeat – Original)/Mean * 100
26
Documentation:
General and specific SOPs and good record keeping are
essential to a properly validated analytical method
Documentation for submission to FDA should include
the following:
Summary information,
Documentation for method validation,
Documentation for bioanalytical report,
Otherinformation applicable to method development
and establishment and/or to routine sample analysis.
27
References:
1. Development and validation of ligand-binding assays to
support the bioanalysis of therapeutic antibodies,
Bioanalysis of Biotherapeutics, Future Medicine [Internet].
Futuremedicine.com. 2016 [cited 5 March 2016]. Available
from:
http://www.futuremedicine.com/doi/abs/10.4155/ebo.13.345
2. bionanlytical method validation draft guidance [Internet].
www.fda.gov. 2013 [cited 5 March 2016]. Available from:
http://www.fda.gov/downloads/Drugs/Guidances/ucm07010
7.pdf
3. Kelley M, DeSilva B. Key elements of bioanalytical
method validation for macromolecules. The AAPS Journal.
2007;9(2):E156-E163.
28
29

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Bioanalytical method validation guidelines for ligand binding assays

  • 1. Bioanalytical method validation guidelines for ligand binding assays 1 Shane Lobo
  • 2. Contents:  Introduction  Ligand binding assays  Key reagents  Method development  Validation parameters  Selectivity  Sensitivity  Precision  Accuracy  Recovery  Stability  Reproducibility  Linearity  Validated Method: Use, Data Analysis, and Reporting  Incurred sample reanalysis  Documentation  References 2
  • 3. Introduction: Bioanalytical Method relates specifically to determine the concentration of drug or its metabolite or both in biological matrix such as plasma, serum, urine, etc. Bioanalytical information used in human clinical non- human (preclinical) studies requiring pharmacokinetic evaluation. Bioanalytical method validation includes all of the procedures that demonstrate that a particular method used for quantitative measurement of analytes in a given biological matrix, such as blood, plasma, serum, or urine, is reliable and reproducible for the intended use. 3
  • 4. 4
  • 5. Ligand binding assays: Ligand-binding assays (LBAs) are methods used to detect and measure a macromolecular interaction between a ligand and a binding molecule. LBAs are used to characterize and define the pharmacokinetic, pharmacodynamic and immunogenic properties of a therapeutic antibody in nonclinical and clinical studies. In LBAs, a therapeutic monoclonal antibody is considered to be the ligand, or analyte of interest, while the binding molecule is usually a target protein (e.g., cytokines or receptors that the therapeutic antibody targets), or an anti- idiotypic antibody directed against the therapeutic antibody. 5
  • 6. Key Reagents: Key reagents, such as reference standards (calibration standards, quality control samples), antibodies, tracers, and matrices should be characterized appropriately and stored under defined conditions. The purity of the reference standards used to prepare spiked samples can affect study data. For this reason, authenticated analytical reference standards of known quality and purity should be used. If possible the reference standards should be identical to the analyte. Assay re-optimization or validation may be important when there are changes in key reagents. 6
  • 7. Method development: A specific, detailed, written description of the bioanalytical method should be established. This can be in the form of a protocol, study plan, report, and/or SOP. Immunoassay method development comprises a selection of the following: Assay reagents Assay format Batch size 7
  • 8. Selectivity: Selectivity is the extent to which the analyte may be determined without interference from other components in a mixture. If the response is distinguished from all other responses, the method is said to be selective. Two selectivity issues should be considered: Interference from Substances Physicochemically Similar to the Analyte. Matrix Effects Matrix effects should be evaluated. 8
  • 9. ACCURACY: The accuracy of an analytical method describes the closeness of mean test results obtained by the method to the actual value (concentration) of the analyte. Accuracy is determined by replicate analysis of samples containing known amounts of the analyte (i.e., QCs). Accuracy should be measured using a minimum of five determinations per concentration. A minimum of three concentrations in the range of expected study sample concentrations is recommended. ACCEPTANCE CRITERIA; The mean value should be within 20% of the nominal value except at LLOQ, where it should not deviate by more than 25%. 9
  • 10. Precision: Closeness of individual measures of an analyte when the procedure is applied repeatedly to multiple aliquots of a single homogeneous volume of biological matrix. A minimum of three concentrations in the range of expected study sample concentrations is recommended. Acceptance criteria; The precision determined at each concentration level should not exceed 20% of the CV except for the LLOQ, where it should not exceed 25% of the CV. 10
  • 11. Within run precision: Within-run (also known as intra-batch precision or repeatability) is an assessment of the precision during a single analytical run. Between run precision: Between-run precision (also known as interbatch precision or repeatability), is a measurement of the precision with time, and may involve different analysts, equipment, reagents, and laboratories. 11
  • 12. Recovery: The recovery of an analyte in an assay is the detector response obtained from an amount of the analyte added to and extracted from the biological matrix, compared to the detector response obtained for the true concentration of the pure authentic standard. The recovery allows to determine the percent of lost drug during sample preparation. Extent of recovery of an analyte and of the internal standard should be consistent, precise, and reproducible. Recovery experiments should be performed by comparing the analytical results for extracted samples at three concentrations (low, medium, and high) with unextracted standards that represent 100% recovery . 12
  • 13. Calibration curve: A calibration (standard) curve is the relationship between instrument response and known concentrations of the analyte. The relationship between response and concentration should be continuous and reproducible. A calibration curve should consist of a blank sample, a zero sample and at least six non-zero samples covering the expected range, including LLOQ. Method validation experiments should include a minimum of six runs conducted over several days, with at least six concentrations (including LLOQ, low, medium, and high) analyzed in duplicate in each run. 13
  • 14. Lower Limit of Quantification (LLOQ): The lowest standard on the calibration curve should be accepted as the LLOQ if the following conditions are met: The analyte response at the LLOQ should be at least five times the response compared to blank response. Analyte peak (response) should be identifiable, discrete, and reproducible, and the back-calculated concentration should have precision that does not exceed 25% of the CV and accuracy within 25% of the nominal concentration. The LLOQ should be established using at least five samples and determining coefficient of variation and/or appropriate confidence intervals. 14
  • 15. Upper Limit of Quantification (ULOQ) : The highest standard will define the ULOQ of an analytical method. Analyte peak (response) should be reproducible and the back-calculated concentration should have precision that does not exceed 20% of the CV and accuracy within 20% of the nominal concentration. 15
  • 16. Calibration Curve/Concentration-Response: Selection of weighting and use of a complex regression equation should be justified. Standards/calibrators should not deviate by more than 20% of nominal concentrations, except at LLOQ where the standard/calibrator should not deviate by more than 25%. The acceptance criterion for the standard curve is that at least 75% of non-zero standards should meet the above criteria, including the LLOQ. 16
  • 17. Quality control samples: At least 3 concentrations of QCs in duplicate should be incorporated into each run as follows: one within three times the LLOQ (low QC), one in the midrange (middle QC) and one approaching the high end (high QC) of the range of the expected study concentrations The minimum number of QCs should be at least 5% of the number of unknown samples or six total QCs whichever is greater 17
  • 18. It is recommended that calibration standards and QCs be prepared from separate stock solutions. A single source of blank matrix may also be used, provided absence of matrix effects on extraction recovery and detection has been verified. Acceptance Criteria: At least 67% (e.g., at least 4 out of 6) of the QCs concentration results should be within 20% of their respective nominal (theoretical) values. At least 50% of QCs at each level should be within 20% of their nominal concentrations. 18
  • 19. Sensitivity: Sensitivity is defined as the lowest analyte concentration that can be measured with acceptable accuracy and precision (i.e., LLOQ). The LLOQ was established using at least six samples and determining the %CV. 19
  • 20. Reproducibility: Assessed by replicate measurements using the assay, including QCs and possibly incurred samples. Reinjection reproducibility should be evaluated to determine if an analytical run could be reanalyzed in the case of instrument interruptions. 20
  • 21. Stability: The chemical stability of an analyte in a given matrix under specific conditions for given time intervals is assessed in several ways Pre-study stability evaluations should cover the expected sample handling and storage conditions during the conduct of the study, including conditions at the clinical site, during shipment and at all other secondary sites 21
  • 22. The procedure should also include an evaluation of analyte stability in stock solution Stock solutions of the analyte for stability evaluation should be prepared in an appropriate solvent at known concentrations. Stability samples should be compared to freshly made calibrators and/or freshly made QCs At least three replicates at each of the low and high concentrations should be assessed Stability sample results should be within 15% of nominal concentrations 22
  • 23. 23
  • 24. Validated Method: Use, Data Analysis and Reporting Calibration curves and QCs should be included in all analytical runs. The QCs should be used to accept or reject the run. All study samples from a subject should be analyzed in a single run Carryover should be assessed and monitored during analysis Incurred sample reanalysis (ISR) should be performed 24
  • 25. Incurred sample reanalysis: To verify the reliability of the reported subject sample analyte concentrations. Conducted by repeating the analysis of a subset of subject samples from a given study in 5 separate runs on different days to critically support the precision and accuracy measurements established with spiked QCs; the original and repeat analysis is conducted using the same bioanalytical method procedures. 25
  • 26. SOPs should be established and followed to address: The total number of ISR samples should be 7% of the study sample size. In selecting samples for reanalysis, the PK profile should be provided and must include assessments around Cmax and in the elimination phase for all study subjects. Two-thirds (67%) of the repeated sample results should be within 20% for small molecules and 30% for large molecules. % Difference= (Repeat – Original)/Mean * 100 26
  • 27. Documentation: General and specific SOPs and good record keeping are essential to a properly validated analytical method Documentation for submission to FDA should include the following: Summary information, Documentation for method validation, Documentation for bioanalytical report, Otherinformation applicable to method development and establishment and/or to routine sample analysis. 27
  • 28. References: 1. Development and validation of ligand-binding assays to support the bioanalysis of therapeutic antibodies, Bioanalysis of Biotherapeutics, Future Medicine [Internet]. Futuremedicine.com. 2016 [cited 5 March 2016]. Available from: http://www.futuremedicine.com/doi/abs/10.4155/ebo.13.345 2. bionanlytical method validation draft guidance [Internet]. www.fda.gov. 2013 [cited 5 March 2016]. Available from: http://www.fda.gov/downloads/Drugs/Guidances/ucm07010 7.pdf 3. Kelley M, DeSilva B. Key elements of bioanalytical method validation for macromolecules. The AAPS Journal. 2007;9(2):E156-E163. 28
  • 29. 29