BACKGROUND: Over the past 2 decades, clinical studies have provided evidence that cerebrospinal fluid (CSF) amyloid β(1-42) (Aβ(1-42)), total τ (t-τ), and τ phosphorylated at Thr181 (p-τ(181)) are reliable biochemical markers of Alzheimer disease (AD) neuropathology. CONTENT: In this review, we summarize the clinical performance and describe the major challenges for the analytical performance of the most widely used immunoassay platforms [based on ELISA or microbead-based multianalyte profiling (xMAP) technology] for the measurement of CSF AD biomarkers (Aβ(1-42), t-τ, and p-τ(181)). With foundational immunoassay data providing the diagnostic and prognostic values of CSF AD biomarkers, the newly revised criteria for the diagnosis of AD include CSF AD biomarkers for use in research settings. In addition, it has been suggested that the selection of AD patients at the predementia stage by use of CSF AD biomarkers can improve the statistical power of clinical trial design. Owing to the lack of a replenishable and commutable human CSF-based standardized reference material (SRM) and significant differences across different immunoassay platforms, the diagnostic-prognostic cutpoints of CSF AD biomarker concentrations are not universal at this time. These challenges can be effectively met in the future, however, through collaborative ongoing standardization efforts to minimize the sources of analytical variability and to develop reference methods and SRMs. SUMMARY: Measurements of CSF Aβ(1-42), t-τ, and p-τ(181) with analytically qualified immunoassays reliably reflect the neuropathologic hallmarks of AD in patients at the early predementia stage of the disease and even in presymptomatic patients. Thus these CSF biomarker tests are useful for early diagnosis of AD, prediction of disease progression, and efficient design of drug intervention clinical trials.
BACKGROUND: Over the past 2 decades, clinical studies have provided evidence that cerebrospinal fluid (CSF) amyloid β(1-42) (Aβ(1-42)), total τ (t-τ), and τ phosphorylated at Thr181 (p-τ(181)) are reliable biochemical markers ofAlzheimer disease (AD) neuropathology. CONTENT: In this review, we summarize the clinical performance and describe the major challenges for the analytical performance of the most widely used immunoassay platforms [based on ELISA or microbead-based multianalyte profiling (xMAP) technology] for the measurement ofCSFAD biomarkers (Aβ(1-42), t-τ, and p-τ(181)). With foundational immunoassay data providing the diagnostic and prognostic values ofCSFAD biomarkers, the newly revised criteria for the diagnosis ofAD include CSFAD biomarkers for use in research settings. In addition, it has been suggested that the selection ofADpatients at the predementia stage by use ofCSFAD biomarkers can improve the statistical power ofclinical trial design. Owing to the lack of a replenishable and commutable humanCSF-based standardized reference material (SRM) and significant differences across different immunoassay platforms, the diagnostic-prognostic cutpoints ofCSFAD biomarker concentrations are not universal at this time. These challenges can be effectively met in the future, however, through collaborative ongoing standardization efforts to minimize the sources of analytical variability and to develop reference methods and SRMs. SUMMARY: Measurements ofCSF Aβ(1-42), t-τ, and p-τ(181) with analytically qualified immunoassays reliably reflect the neuropathologic hallmarks of AD in patients at the early predementia stage of the disease and even in presymptomatic patients. Thus these CSF biomarker tests are useful for early diagnosis ofAD, prediction of disease progression, and efficient design of drug intervention clinical trials.
Authors: N A Verwey; W M van der Flier; K Blennow; C Clark; S Sokolow; P P De Deyn; D Galasko; H Hampel; T Hartmann; E Kapaki; L Lannfelt; P D Mehta; L Parnetti; A Petzold; T Pirttila; L Saleh; A Skinningsrud; J C V Swieten; M M Verbeek; J Wiltfang; S Younkin; P Scheltens; M A Blankenstein Journal: Ann Clin Biochem Date: 2009-04-02 Impact factor: 2.057
Authors: P Vemuri; H J Wiste; S D Weigand; L M Shaw; J Q Trojanowski; M W Weiner; D S Knopman; R C Petersen; C R Jack Journal: Neurology Date: 2009-07-28 Impact factor: 9.910
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Authors: Clifford R Jack; David S Knopman; William J Jagust; Leslie M Shaw; Paul S Aisen; Michael W Weiner; Ronald C Petersen; John Q Trojanowski Journal: Lancet Neurol Date: 2010-01 Impact factor: 44.182
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Authors: Jon B Toledo; Henrik Zetterberg; Argonde C van Harten; Lidia Glodzik; Pablo Martinez-Lage; Luisella Bocchio-Chiavetto; Lorena Rami; Oskar Hansson; Reisa Sperling; Sebastiaan Engelborghs; Ricardo S Osorio; Hugo Vanderstichele; Manu Vandijck; Harald Hampel; Stefan Teipl; Abhay Moghekar; Marilyn Albert; William T Hu; Jose A Monge Argilés; Ana Gorostidi; Charlotte E Teunissen; Peter P De Deyn; Bradley T Hyman; Jose L Molinuevo; Giovanni B Frisoni; Gurutz Linazasoro; Mony J de Leon; Wiesje M van der Flier; Philip Scheltens; Kaj Blennow; Leslie M Shaw; John Q Trojanowski Journal: Brain Date: 2015-07-27 Impact factor: 13.501
Authors: Leslie M Shaw; Magdalena Korecka; Michal Figurski; Jon Toledo; David Irwin; Ju Hee Kang; John Q Trojanowski Journal: J Appl Lab Med Date: 2020-01-01
Authors: Hua Wang; Tessandra Stewart; Jon B Toledo; Carmen Ginghina; Lu Tang; Anzari Atik; Patrick Aro; Leslie M Shaw; John Q Trojanowski; Douglas R Galasko; Steven Edland; Poul H Jensen; Min Shi; Jing Zhang Journal: J Alzheimers Dis Date: 2018 Impact factor: 4.472