Biomarker test development and validation Flashcards

1
Q

How is ‘dementia’ diagnosed?

A
  • Cognitive and neuropsychological tests
  • Neurological evaluation
  • Psychiatric evaluation
  • Brain scans (CT, MRI, PET)
  • Laboratory tests
  • Biofluid biomarkers
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2
Q

Which fluid biomarkers for AD are there currently?

A

The ATN framework:
- Amyloid (AB42/AB40 ratio)
- Tau (pTau)
- Neurodegeneration (tTau, NfL)

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3
Q

Fill in whether biomarkers in CSF or brain are increased or decreased.

In brain:
- AB
- NfL
- tTau
- pTau

In CSF:
- AB
- pTau
- tTau
- NfL

A

In brain:
- Increased → AB, NfL, tTau, pTau
- Decreased → x

In CSF:
- Increased → pTau, tTau, NfL
- Decreased → AB

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4
Q

What is the ideal biomarker?

A
  • Easily accessible
  • Disease specific
  • Not influenced by other factors
  • Reflects pathology
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5
Q

A newly identified biomarker for AD is acetylated Tau.
Why is there an interest in this biomarker?

A
  • It slows tau turnover and promotes accumulation in vitro and in vivo
  • Induces more severe neurodegenration compared to WT tau
  • Worsens behavioral deficits including spatial learning and memory retention.
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6
Q

What is assay validation?

A

The process of proving that an analytical method is acceptable for its intended purpose.

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7
Q

Why is assay validation important?

A
  • To minimize analytical and instrumental errors
  • To give reliable and reproducible results
  • To ensure the quality of the assay results
  • To be assured of the correctness of results
  • To confirm that the assay measures what it is intended to measure
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8
Q

Assay validation consists of two steps: technical and clinical validation.
What is important to measure for technical validation?

A
  • Precision
  • Sensitivity
  • Linearity
  • Recovery
  • Parallelism
  • Sample stability
  • Selectivity / specificity
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9
Q

Explain in regard to the technical validation what the definition is of:
- precision
- sensitivity
- linearity
- recovery
- parallelism
- sample stability
- specificity
- selectivity

A
  • precision → indicates how well a method gives the same result when a single sample is tested repeatedly.
  • sensitivity → indicates the detection and quantification limits of an assay, whereby the highest and lowest concentrations of analyte have been measured with acceptable levels of precision and accuracy.
  • linearity → indicates how well a sample with a high concentration can be diluted to a concentration within the working range and still give a reliable result
  • recovery → investigates the matrix effect (→the sample matrix should not interfere with the measurement of your analyte of interest)
  • parallelism → investigates if the binding characteristic of the endogenous biomarker to the antibodies is the same as for the standard.
  • sample stability → tests the chemical stability of an analyte in a given matrix under specific condition for given time intervals.
  • specificity → the ability to assess the exact component in a mixture
  • selectivity → the ability to differentiate the components in a mixture from each other
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10
Q

What is the difference to intra-assay precision and inter-assay precision?

A
  • Intra-assay precision → same sample measured within 1 assay plate/run
  • Inter-assay precision → same sample measured between different assay plates/runes
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11
Q

What is the meaning of an upper limit of quantification (ULOQ) and lower limit of quantification (LLOQ)?

A

It denotes the (dynamic/working) range an assay can measure.

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12
Q

What is the hook effect in regard to linearity?

A

It gives falsely low results with certain immunoassays in the presence of excess amount of analyte of interest

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13
Q

What is the matrix effect in regard to recovery?

A

The method should be able to differentiate the biomarker of interest from endogenous, unrelated components in the sample matrix

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14
Q

In regard to parallelism, what does it mean when the binding characteristics are parallel or non-parallel?

A
  • Parallel → binding characteristic of endogenous biomarker to the antibodies are the same as for the standard
  • Non-parallel → binding characteristic of endogenous biomarker to the antibodies are different compared to the standard.
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15
Q

What is meant with clinical validation?

A

The proof that the biomarker identifies the concept of interest.

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16
Q

What is important to take into consideration when establishing clinical validation?

A

The measurement in clinical cohort:
- disease groups and controls
- Matched for age and sex
- Equal group sizes
- Power
- Independent cohort

17
Q
A