Neurobiology of Aging
Volume 29, Issue 8 , Pages 1143-1159, August 2008

Diagnostic performance of a CSF-biomarker panel in autopsy-confirmed dementia

  • Sebastiaan Engelborghs

      Affiliations

    • Department of Neurology and Memory Clinic, Middelheim General Hospital (ZNA), Lindendreef 1, 2020 Antwerp, Belgium
    • Reference Center for Biological Markers of Memory Disorders, Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium
  • ,
  • Karen De Vreese

      Affiliations

    • Innogenetics NV, Technologiepark 6, 9052 Ghent, Belgium
  • ,
  • Tom Van de Casteele

      Affiliations

    • Innogenetics NV, Technologiepark 6, 9052 Ghent, Belgium
  • ,
  • Hugo Vanderstichele

      Affiliations

    • Innogenetics NV, Technologiepark 6, 9052 Ghent, Belgium
  • ,
  • Bart Van Everbroeck

      Affiliations

    • Biobank, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium
  • ,
  • Patrick Cras

      Affiliations

    • Biobank, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium
    • Department of Neurology, University Hospital Antwerp, Wilrijkstraat 10, 2650 Edegem, Belgium
  • ,
  • Jean-Jacques Martin

      Affiliations

    • Biobank, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium
  • ,
  • Eugeen Vanmechelen

      Affiliations

    • Innogenetics NV, Technologiepark 6, 9052 Ghent, Belgium
  • ,
  • Peter Paul De Deyn

      Affiliations

    • Department of Neurology and Memory Clinic, Middelheim General Hospital (ZNA), Lindendreef 1, 2020 Antwerp, Belgium
    • Reference Center for Biological Markers of Memory Disorders, Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium
    • Biobank, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium
    • Corresponding Author InformationCorresponding author at: Reference Center for Biological Markers of Memory Disorders, Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium. Tel.: +32 3 820 26 20; fax: +32 3 820 26 18.

Received 17 November 2006; received in revised form 19 January 2007; accepted 7 February 2007. published online 13 April 2007.

Abstract 

To establish diagnostic performance of the cerebrospinal fluid (CSF) biomarkers β-amyloid peptide (Aβ1–42), total tau-protein (T-tau) and tau phosphorylated at threonine 181 (P-tau181P) compared to clinical diagnosis, biomarker levels were determined in CSF samples from 100 autopsy-confirmed dementia and 100 control subjects. As the control and dementia groups were not age-matched and given the significant associations of biomarker concentrations with age in controls, age-corrected biomarker concentrations were calculated.

New models were constructed by means of logistic regression. Using all biomarkers, dementia could be discriminated from controls (sensitivity (S)=86%, specificity (Sp)=89%). T-tau and Aβ1–42 optimally discriminated Alzheimer's disease (AD) from other dementias (NONAD) and controls (S=90%, Sp=89%). AD was optimally discriminated from NONAD using P-tau181P and Aβ1–42 (S=80%, Sp=93%). Diagnostic accuracy of the latter model (82.7%) was comparable to clinical diagnostic accuracy (81.6%) that was based on a whole clinical work-up (including imaging). Using this model, in cases with clinically doubtful diagnoses, a correct diagnosis would have been established in 4/6 autopsy-confirmed AD and 3/3 autopsy-confirmed NONAD cases.

The value of biomarkers in differential dementia diagnosis was shown, using pathological diagnosis as a reference. New models have been developed, achieving sensitivity, specificity and diagnostic accuracy levels, consistently exceeding 80%.

Keywords: Dementia, Alzheimer's disease, Cerebrospinal fluid, Biomarkers, Tau protein, β-Amyloid peptide, Phospho-tau, Neuropathology

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PII: S0197-4580(07)00055-3

doi:10.1016/j.neurobiolaging.2007.02.016

Neurobiology of Aging
Volume 29, Issue 8 , Pages 1143-1159, August 2008