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Plasma Amyloid Beta X-42/X-40 Ratio and Cognitive Decline in Suspected Early and Preclinical Alzheimer's Disease

Abstract

Introduction: Blood-based biomarkers are a cost-effective and minimally invasive method for diagnosing the early and preclinical stages of amyloid positivity (AP). Our study aims to investigate our novel immunoprecipitation-immunoassay (IP-IA) as a test for predicting cognitive decline.

Methods: We measured levels of amyloid beta (Aβ)X-40 and AβX-42 in immunoprecipitated eluates from the DELCODE cohort. Receiver-operating characteristic (ROC) curves, regression analyses, and Cox proportional hazard regression models were constructed to predict AP by Aβ42/40 classification in cerebrospinal fluid (CSF) and conversion to mild cognitive impairment (MCI) or dementia.

Results: We detected a significant correlation between AßX-42/X-40 in plasma and CSF (r = 0.473). Mixed-modeling analysis revealed a substantial prediction of AßX-42/X-40 with an area under the curve (AUC) of 0.81 for AP (sensitivity: 0.79, specificity: 0.74, positive predictive value [PPV]: 0.71, negative predictive value [NPV]: 0.81). In addition, lower AβX-42/X-40 ratios were associated with negative PACC5 slopes, suggesting cognitive decline.

Discussion: Our results suggest that assessing the plasma AβX-42/X-40 ratio via our semiautomated IP-IA is a promising biomarker when examining patients with early or preclinical AD.

Highlights: New plasma Aβ42/Aβ40 measurement using immunoprecipitation-immunoassay Plasma Aβ42/Aβ40 associated with longitudinal cognitive decline Promising biomarker to detect subjective cognitive decline at-risk for brain amyloid positivity.

Citing Articles

Amyloid and SCD jointly predict cognitive decline across Chinese and German cohorts.

Shao K, Hu X, Kleineidam L, Stark M, Altenstein S, Amthauer H Alzheimers Dement. 2024; 20(9):5926-5939.

PMID: 39072956 PMC: 11497667. DOI: 10.1002/alz.14119.


Plasma amyloid beta X-42/X-40 ratio and cognitive decline in suspected early and preclinical Alzheimer's disease.

Vogelgsang J, Hansen N, Stark M, Wagner M, Klafki H, Morgado B Alzheimers Dement. 2024; 20(8):5132-5142.

PMID: 38940303 PMC: 11350048. DOI: 10.1002/alz.13909.

References
1.
Langhough Koscik R, Hermann B, Allison S, Clark L, Jonaitis E, Mueller K . Validity Evidence for the Research Category, "Cognitively Unimpaired - Declining," as a Risk Marker for Mild Cognitive Impairment and Alzheimer's Disease. Front Aging Neurosci. 2021; 13:688478. PMC: 8350058. DOI: 10.3389/fnagi.2021.688478. View

2.
Youden W . Index for rating diagnostic tests. Cancer. 1950; 3(1):32-5. DOI: 10.1002/1097-0142(1950)3:1<32::aid-cncr2820030106>3.0.co;2-3. View

3.
Cheng L, Li W, Chen Y, Lin Y, Wang B, Guo Q . Plasma Aβ as a biomarker for predicting Aβ-PET status in Alzheimer's disease:a systematic review with meta-analysis. J Neurol Neurosurg Psychiatry. 2022; 93(5):513-520. PMC: 9016262. DOI: 10.1136/jnnp-2021-327864. View

4.
Mattsson-Carlgren N, Salvado G, Ashton N, Tideman P, Stomrud E, Zetterberg H . Prediction of Longitudinal Cognitive Decline in Preclinical Alzheimer Disease Using Plasma Biomarkers. JAMA Neurol. 2023; 80(4):360-369. PMC: 10087054. DOI: 10.1001/jamaneurol.2022.5272. View

5.
. Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019. Lancet Public Health. 2022; 7(2):e105-e125. PMC: 8810394. DOI: 10.1016/S2468-2667(21)00249-8. View