Literature DB >> 22552903

Development and advanced validation of an optimized method for the quantitation of Aβ42 in human cerebrospinal fluid.

Valerie C Cullen1, Ross A Fredenburg, Cindy Evans, Phyllis R Conliffe, Michael E Solomon.   

Abstract

Cerebrospinal fluid (CSF) biomarkers have been extensively utilized in the diagnosis of Alzheimer's disease (AD) and characterization of progression. One important CSF biomarker is the amyloid beta 42 (Aβ(42)) peptide, a key player in AD pathogenesis. The INNOTEST® Aβ(42) ELISA kit has been widely used but an advanced level of method development and validation has not been reported. To support a clinical trial in AD, we successfully completed a Good Laboratory Practices (GLP)-level validation of the method to establish the parameters of precision, accuracy, parallelism, selectivity, specificity, and linearity of dilution of the assay in CSF matrix, as well as CSF storage stability. Several modifications were required to optimize the assay and ensure consistent results in a clinical-trial setting. These included the use of additional calibrators, an adjusted standard curve range, a minimum required dilution (MRD) of CSF by 6-fold to avoid matrix interference and mitigation of analyte adsorption to labware by the addition of Tween-20. The optimized method displayed a quantitative range of 375-4,500 pg/mL. The inter-assay precision was ≤12.1 % CV and the inter-assay relative accuracy was ≤10.9 % absolute bias, bringing the total error of the assay to ≤23 %. The intra-assay precision of the assay at the high validation standard and below was ≤5.5 % CV; this enables sensitive detection of biomarker changes across a therapeutic regime. The INNOTEST® Aβ(42) ELISA kit, modified as reported here, may be appropriate for many applications, including regulatory agency acceptable clinical diagnosis and pharmacodynamic assessment.

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Year:  2012        PMID: 22552903      PMCID: PMC3385823          DOI: 10.1208/s12248-012-9360-7

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  27 in total

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Authors:  N Andreasen; C Hesse; P Davidsson; L Minthon; A Wallin; B Winblad; H Vanderstichele; E Vanmechelen; K Blennow
Journal:  Arch Neurol       Date:  1999-06

2.  Nonspecific binding of Aβ42 to polypropylene tubes and the effect of Tween-20.

Authors:  Arnaldo M Pica-Mendez; Michael Tanen; Aimee Dallob; Wesley Tanaka; Omar F Laterza
Journal:  Clin Chim Acta       Date:  2010-07-23       Impact factor: 3.786

Review 3.  Biochemical markers in Alzheimer's disease clinical trials.

Authors:  Henrik Zetterberg; Niklas Mattsson; Les M Shaw; Kaj Blennow
Journal:  Biomark Med       Date:  2010-02       Impact factor: 2.851

4.  Neuropsychological and behavioural correlates of CSF biomarkers in dementia.

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Journal:  Neurochem Int       Date:  2006-01-24       Impact factor: 3.921

Review 5.  Do CSF total tau, phosphorylated tau, and beta-amyloid 42 help to predict progression of mild cognitive impairment to Alzheimer's disease? A systematic review and meta-analysis of the literature.

Authors:  Breno S O Diniz; Jony A Pinto Júnior; Orestes Vicente Forlenza
Journal:  World J Biol Psychiatry       Date:  2008       Impact factor: 4.132

6.  Diagnosing prodromal Alzheimer's disease: role of CSF biochemical markers.

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7.  Comparison of analytical platforms for cerebrospinal fluid measures of β-amyloid 1-42, total tau, and p-tau181 for identifying Alzheimer disease amyloid plaque pathology.

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8.  Biochemical diagnosis of Alzheimer disease by measuring the cerebrospinal fluid ratio of phosphorylated tau protein to beta-amyloid peptide42.

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Journal:  Arch Neurol       Date:  2003-09

9.  Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects.

Authors:  Leslie M Shaw; Hugo Vanderstichele; Malgorzata Knapik-Czajka; Christopher M Clark; Paul S Aisen; Ronald C Petersen; Kaj Blennow; Holly Soares; Adam Simon; Piotr Lewczuk; Robert Dean; Eric Siemers; William Potter; Virginia M-Y Lee; John Q Trojanowski
Journal:  Ann Neurol       Date:  2009-04       Impact factor: 10.422

10.  Longitudinal changes of CSF biomarkers in memory clinic patients.

Authors:  F H Bouwman; W M van der Flier; N S M Schoonenboom; E J van Elk; A Kok; F Rijmen; M A Blankenstein; P Scheltens
Journal:  Neurology       Date:  2007-09-04       Impact factor: 9.910

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2.  Concordance Between Different Amyloid Immunoassays and Visual Amyloid Positron Emission Tomographic Assessment.

Authors:  Shorena Janelidze; Josef Pannee; Alvydas Mikulskis; Ping Chiao; Henrik Zetterberg; Kaj Blennow; Oskar Hansson
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3.  A digital enzyme-linked immunosorbent assay for ultrasensitive measurement of amyloid-β 1-42 peptide in human plasma with utility for studies of Alzheimer's disease therapeutics.

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4.  Towards a unified protocol for handling of CSF before β-amyloid measurements.

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Journal:  Alzheimers Res Ther       Date:  2019-07-19       Impact factor: 6.982

5.  Detection of Amyloid-β(1-42) Aggregation With a Nanostructured Electrochemical Sandwich Immunoassay Biosensor.

Authors:  Bing-Yu Wang; Bien-Chen Gu; Gou-Jen Wang; Yuan-Han Yang; Chia-Che Wu
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Review 6.  Potential sources of interference on Abeta immunoassays in biological samples.

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7.  Optimized Standard Operating Procedures for the Analysis of Cerebrospinal Fluid Aβ42 and the Ratios of Aβ Isoforms Using Low Protein Binding Tubes.

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8.  Preanalytical approaches to improve recovery of amyloid-β peptides from CSF as measured by immunological or mass spectrometry-based assays.

Authors:  Stephen P Schauer; William R Mylott; Moucun Yuan; Rand G Jenkins; W Rodney Mathews; Lee A Honigberg; Kristin R Wildsmith
Journal:  Alzheimers Res Ther       Date:  2018-11-28       Impact factor: 6.982

9.  Concordance of CSF measures of Alzheimer's pathology with amyloid PET status in a preclinical cohort: A comparison of Lumipulse and established immunoassays.

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Journal:  Alzheimers Dement (Amst)       Date:  2020-09-13

Review 10.  Transitioning from cerebrospinal fluid to blood tests to facilitate diagnosis and disease monitoring in Alzheimer's disease.

Authors:  D O T Alawode; A J Heslegrave; N J Ashton; T K Karikari; J Simrén; L Montoliu-Gaya; J Pannee; A O Connor; P S J Weston; J Lantero-Rodriguez; A Keshavan; A Snellman; J Gobom; R W Paterson; J M Schott; K Blennow; N C Fox; H Zetterberg
Journal:  J Intern Med       Date:  2021-06-26       Impact factor: 8.989

  10 in total

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