4.6 Article

A blood-based diagnostic test incorporating plasma Aβ42/40 ratio, ApoE proteotype, and age accurately identifies brain amyloid status: findings from a multi cohort validity analysis

期刊

MOLECULAR NEURODEGENERATION
卷 16, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s13024-021-00451-6

关键词

Alzheimer’ s disease; Plasma biomarkers; Neurodegeneration; mass spectrometry

资金

  1. Data Management and Biostatistics Core [P50 AG033514]
  2. Banner Alzheimer's Institute [R01 AG031581]
  3. Arizona Alzheimer's Disease Core Center [P30 AG19610]
  4. Arizona Department of Health Services [211002]
  5. University of Florida -Mt. Sinai Medical Center Alzheimer's Disease Research Center [P50 AG047266]
  6. Washington University Knight Alzheimer's Disease Research Center [P50 AG005681, P01 AG003991, P01 AG026276]

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The development of a high-resolution mass spectrometry-based plasma biomarker test shows strong diagnostic performance in distinguishing brain amyloid status for Alzheimer's disease and may enhance the efficiency of enrolling participants into AD drug trials.
Background The development of blood-based biomarker tests that are accurate and robust for Alzheimer's disease (AD) pathology have the potential to aid clinical diagnosis and facilitate enrollment in AD drug trials. We developed a high-resolution mass spectrometry (MS)-based test that quantifies plasma A beta 42 and A beta 40 concentrations and identifies the ApoE proteotype. We evaluated robustness, clinical performance, and commercial viability of this MS biomarker assay for distinguishing brain amyloid status. Methods We used the novel MS assay to analyze 414 plasma samples that were collected, processed, and stored using site-specific protocols, from six independent US cohorts. We used receiver operating characteristic curve (ROC) analyses to assess assay performance and accuracy for predicting amyloid status (positive, negative, and standard uptake value ratio; SUVR). After plasma analysis, sites shared brain amyloid status, defined using diverse, site-specific methods and cutoff values; amyloid PET imaging using various tracers or CSF A beta 42/40 ratio. Results Plasma A beta 42/40 ratio was significantly (p < 0.001) lower in the amyloid positive vs. negative participants in each cohort. The area under the ROC curve (AUC-ROC) was 0.81 (95% CI = 0.77-0.85) and the percent agreement between plasma A beta 42/40 and amyloid positivity was 75% at the optimal (Youden index) cutoff value. The AUC-ROC (0.86; 95% CI = 0.82-0.90) and accuracy (81%) for the plasma A beta 42/40 ratio improved after controlling for cohort heterogeneity. The AUC-ROC (0.90; 95% CI = 0.87-0.93) and accuracy (86%) improved further when A beta 42/40, ApoE4 copy number and participant age were included in the model. Conclusions This mass spectrometry-based plasma biomarker test: has strong diagnostic performance; can accurately distinguish brain amyloid positive from amyloid negative individuals; may aid in the diagnostic evaluation process for Alzheimer's disease; and may enhance the efficiency of enrolling participants into Alzheimer's disease drug trials.

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