FIT-FOR-PURPOSE BIOANALYTICAL VALIDATION AND SAMPLE PROCESSING - - PowerPoint PPT Presentation

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FIT-FOR-PURPOSE BIOANALYTICAL VALIDATION AND SAMPLE PROCESSING - - PowerPoint PPT Presentation

FIT-FOR-PURPOSE BIOANALYTICAL VALIDATION AND SAMPLE PROCESSING Raymond H. Farmen, Ph.D. Vice President, Global Bioanalytical Services Kirk Newland Bioanalytical Principal Investigator for Tobacco Products Goals When a study is GLP


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SLIDE 1

FIT-FOR-PURPOSE BIOANALYTICAL VALIDATION AND SAMPLE PROCESSING

Raymond H. Farmen, Ph.D. Vice President, Global Bioanalytical Services Kirk Newland Bioanalytical Principal Investigator for Tobacco Products

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SLIDE 2

Goals

  • When a study is GLP
  • Bioanalytical guidances
  • Bioanalytical batch
  • Value of a system suitability process
  • Requirement of standards
  • Relationship between standards and quality control samples
  • Various types of regression parameters used to define a batch
  • The importance and timing of proper chromatographic integration
  • Batch acceptance criteria
  • Dilution integrity
  • Incurred sample reproducibility
  • How to report sample concentrations

2

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SLIDE 3

GLP Cornerstones

  • Say what you’re going to do
  • Do what you said you would do
  • Document it

3

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SLIDE 4

GLP Cornerstones

  • Say what you’re going to do
  • Write a study plan that is based upon your SOPs
  • SOPs must be based upon a detailed understanding of

international bioanalytical guidances

  • Do what you said you would do
  • Document it
  • Who, when and with what equipment
  • Data change control – who made the change? when did it
  • ccur? what was the original value? why was the change made?
  • QC reviewed
  • QA audited

4

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SLIDE 5

Bioanalytical Guidance’s – Assay must be:

  • Selective
  • Accurate
  • Precise
  • Stable
  • Sample collection and handling
  • Freezer (-20
  • C or -80
  • C)
  • Freeze/Thaw
  • UV light sensitivity
  • Benchtop
  • Pre-extraction
  • Post-extraction

5

Nicotine selectivity vs. contamination: Selectivity also means that sources

  • f contamination are minimized!

Every surface (transfer tubes, pipette tips, injection vials, etc.) must be rinsed with methanol.

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SLIDE 6

Bioanalytical Batch History

  • 1st Crystal City Meeting in 1990 – Bioanalytical

foundation was created

  • GMP guidelines existed – verifying a known concentration
  • Clinical chemistry guidelines existed – normal or abnormal
  • Bioanalytical chemistry needed accuracy and precision over a

broad concentration range for PK analysis

  • Bioanalytical Batch!
  • Standards & Quality Control (QC) Samples in every batch
  • If the standards and the QCs passed acceptance criteria then all
  • f the systems, equipment and personnel used to generate that

batch were working successfully that day

6

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SLIDE 7

Bioanalytical Batch

  • Stand alone entity
  • No data from a different experiment can be used as supportive

data

  • Standards, QCs and study samples are all processed at the

same time in the same experiment by the same analyst using the same equipment

  • What about hydrolyzing samples for glucuronides & aglycones?
  • Standards and QCs must be prepared in matrix that has been

shown to be free of interferences

  • In contrast - some clinical chemistry assays use one standard

curve/week

7

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SLIDE 8

Bioanalytical Batch on LC-MS/MS

  • LC-MS/MS System Suitability
  • Mass spectrometers have a tendency to drift over time
  • Process must be developed to assure the instrument

response is stable during a batch

  • The following MS parameters must be consistent

between method development and sample processing:

  • Smoothing factor
  • Dwell time

8

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SLIDE 9

Bioanalytical Batch – Standards & QCs

  • Each batch must contain its own standard calibration curve
  • Minimum of six different calibrator concentrations
  • Range of the standard curve should reflect the expected range of the

study sample concentrations

9

  • 5

15 35 55 75 95 115 135

  • 1

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Standard QC

Clinical Sample Results

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SLIDE 10

Bioanalytical Batch – Standards & QCs

  • Each batch must contain its own standard calibration curve
  • Minimum of six different calibrator concentrations
  • Range of the standard curve should reflect the expected range of the

study sample concentrations

  • Each batch must contain a minimum of 3 QC concentrations in

duplicate (low, middle and high)

  • What’s the difference between standards and QCs?
  • Philosophically – standards create the calibration curve and QCs

demonstrate that non-standards can be accurately measured – so they must be different

  • Different weighings – getting standards and QCs to match each other is

sometimes very difficult

  • QCs are stored with study samples to verify sample integrity

10

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SLIDE 11

Bioanalytical Batch – Regression Parameters

  • Regression curve model can be linear or quadratic for

chromatographic assays and a 4-parameter logistic (4PL) non-linear model for ELISA type assays.

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Linear Quadratic 4PL

  • The regression model can be weighted by no-weight, 1/x or 1/x2 where

x = concentration.

  • The simplest regression model and weighting must be used and it is

selected during method validation.

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SLIDE 12

Bioanalytical Batch Chromatographic Integration

  • Big Deal – the vast majority of serious audit findings involve

scientists modifying integration parameters for QCs to get them to pass acceptance criteria.

12

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Consistent with other samples Original computer generated Inconsistent with other samples Manually drawn QC = +15.7% QC = +14.9%

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SLIDE 13

Bioanalytical Batch – Chromatographic Integration

  • Big Deal – The vast majority of serious audit findings

involve scientists modifying integration parameters for QCs to get them to pass acceptance criteria.

  • Best Practice – Review all chromatographic integration

and manually redraw baselines then “lock-it-down” prior to performing regression analysis. It should be very difficult to modify integration following regression analysis.

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SLIDE 14

Bioanalytical Batch Batch Acceptance Criteria

  • Review
  • All standards, QCs and study samples were analyzed on

the same day by the same analyst(s) using the same equipment

  • For LC-MS/MS methods, the system suitability process

proved that the instrument response was stable during injection of the entire batch

  • All chromatographic baseline integration has been

reviewed, was consistent and “locked-down”

14

Now you are ready to review and accept the batch

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SLIDE 15

Bioanalytical Batch Batch Acceptance Criteria

  • Standard Curve Acceptance
  • Must use the same regression model and weighting option that

was chosen during method validation

  • Must have an SOP in place that describes how to reject

standard(s)

  • Only sample concentrations that are within the range of your

accepted standards can be reported

  • QC Acceptance
  • The predicted concentration of 2/3 of the QC samples must be

within 15% of their nominal concentration (20% for ligand binding assays)

  • At least 50% of the QCs must be accepted at each QC level

15

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SLIDE 16

Bioanalytical Batch Batch Acceptance Criteria

  • Blank (no internal standard) and standard zero samples
  • Prepared with matrix that was free of interferences
  • At least 50% of these samples must have a response that is <20% of

the response of the lowest standard – reject low standard

  • Sample Dilution
  • Can only report sample concentrations that fall within the range of the

standard curve

  • Sample concentrations that exceed the concentration of the highest

standard must be diluted

  • Must prepare dilution QCs and dilute them using the same respective

dilution (for example, 1/10 dilution)

  • Dilution QCs are used for acceptance of the diluted samples
  • 50% of dilution QCs must be within 15% of their nominal concentration

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SLIDE 17

Incurred Sample Reproducibility (ISR)

  • Purpose is to demonstrate that re-assaying study

samples is reproducible.

  • Recommended by FDA and EMA
  • Generally accepted practice:
  • minimum 20 samples
  • If n < 1000 samples then reanalyze 10%
  • If n >1000 samples then reanalyze 100 samples + 5% of

samples beyond 1000

  • Select more subjects with fewer samples per subject
  • Acceptance Criteria: The difference between the repeat value

and the original value < 20% (< 30% for ligand binding assays) for 2/3 of the samples

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SLIDE 18

How to Report Sample Concentrations

  • Demonstrate the sample analysis plan was followed
  • Must have an SOP to select samples for re-analysis
  • Must show that the acceptance criteria for each batch was

met

  • Demonstrate inter-batch reproducibility: List all of the QCs by

batch and perform statistical analysis (% mean deviation and %CV) on each QC level for the study

  • Report sample concentrations that were < the concentration
  • f the lowest standard as < LLOQ
  • Report sample concentrations that were > the concentration
  • f the highest standard as >ULOQ
  • Prepare a table by batch as either passed or failed

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SLIDE 19

Conclusion

  • It’s easy to say that you follow GLP. It’s challenging to

have GLP processes in place that remain current.

  • Selective, accurate, precise, stable and documented!
  • Bioanalysis is all about compliance!
  • Sample processing revolves around the “BATCH”
  • Stand alone experiment – uses the same analysts(s) and stable

equipment on the same day

  • Must have SOPs that minimize data “interpretation”
  • Strict acceptance criteria for standards, QCs and blanks
  • ISR analysis is a requirement

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  • Reminder – Bioanalysis is all about compliance!