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• W2895837575 abstract "There is a need for a blood-based accurate and robust test for Alzheimer's Disease (AD) that can be applied to screen the general population as well as in disease-modifying clinical trials are strongly desired. Very recently, we have developed a high-performance plasma biomarker (named composite biomarker) that can reliably predict individual brain status of amyloid-β (Aβ) (Nakamura et al., Nature, 2018). This study aimed at analyzing detailed relevance between PiB-PET and the plasma composite biomarker. There were 232 samples derived from Japan (NCGG, n = 121) and Australia (AIBL, n=111), who had both PiB-PET and plasma biomarker data. They included 125 cognitively normal, 63 MCI and 44 AD individuals. The samples were dichotomized as high (Aβ+) or low (Aβ−) Aβ burden, using a standardized uptake value ratio (SUVR) of 1.4 as a cut-off value. Using the immunoprecipitation and mass spectrometry methodology, plasma ratios of APP669-711/Aβ1-42 and Aβ1-40/Aβ1-42 were measured in a blinded manner. The composite biomarker was generated by combining the normalized scores of these peptide ratios with 1:1 weighting. The performance of the composite biomarker was analyzed using the receiver operating characteristic (ROC) analysis. Discordant cases between PiB-PET and plasma biomarker were analyzed within certain ranges of SUVR values. The ROC analysis to the overall dataset demonstrated very high areas under the curve (AUC) of 95.4%. Using a predetermined cut-off value 0.376 of the composite biomarker, the concordance between PiB-PET and plasma biomarker was 203/232 (87.5%). Discordant cases were accumulated with a significantly higher ratio (6/10, p<0.001, Chi-square test) within a SUVR range of 5% confidence intervals bellow the cut-off value (1.31 to 1.40), as compared with the rest of the SUVR ranges. These 6 cases that were deemed negative against semiquantitative imaging, were concordant with the visual classification of the images, which was performed independently in a blinded manner. This suggests that the plasma biomarker might also predict of sub-threshold levels of amyloid deposition in the brain. The plasma biomarker could reliably detect individuals within the AD continuum, and therefore expected to be efficacious for population screening." @default.
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• W2895837575 date "2018-07-01" @default.
• W2895837575 modified "2023-10-18" @default.
• W2895837575 title "P3‐242: PLASMA BIOMARKER WITH HIGH ACCURACY IN PREDICTING BRAIN AMYLOID‐β BURDEN: INITIAL RESULTS ACROSS TWO INDEPENDENT LARGE COHORTS—NCGG (JAPAN) AND AIBL (AUSTRALIA)" @default.
• W2895837575 doi "https://doi.org/10.1016/j.jalz.2018.06.1601" @default.
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