Sporadic late-onset Alzheimer's disease (AD) is characterized by a long pre-clinical phase where amyloid-beta (Aβ) and tau begin to accumulate in the brain. The primary objective was to determine the Show more
Sporadic late-onset Alzheimer's disease (AD) is characterized by a long pre-clinical phase where amyloid-beta (Aβ) and tau begin to accumulate in the brain. The primary objective was to determine the age at which AD starts by finding the average population age when both positron emission tomography (PET) Aβ (Aβ-PET) and plasma Aβ42/40 become abnormal. Two high performance immunoprecipitation-mass spectrometry (IP-MS) assays (WashU/C2N and Shimadzu) were tested on samples from 1,450 participants who were diagnosed as cognitively unimpaired (CU), mild cognitive impairment (MCI), or AD-dementia across 4 international cohorts. Natural history modeling and trajectory analyses of the combined Aβ-PET and plasma Aβ42/40 data were analyzed. Data from both assays demonstrated Aβ42/40 undergoes a rapid change at approximately 15 Centiloid (CL), at an average population disease age at 66 years. On average, plasma Aβ42/40 becomes abnormal approximately 2 years before Aβ-PET, whereby it falls sharply to a stable level at the onset of preclinical AD. Average disease age where Aβ42/40 becomes abnormal, and the corresponding Centiloid level are lower for APOE allele carriers compared with non-carriers. Plasma Aβ42/40 ratio presents a step-like function of peripheral change shortly before the detection of plaques by Aβ-PET. Results are consistent with plasma Aβ42/40 falling to a steady-state level in participants with Aβ-PET levels greater than approximately 14CL for both assays. The age at which this occurs is dependent on APOE ε4 carriership, consistent with the approximate 7-year age difference in Centiloid abnormality between carriers and non-carriers. ANN NEUROL 2026;99:1327-1342. Show less
The agreement between plasma Aβ42/40 and Aβ positron emission tomography (PET) is approximately 75 %, with ∼85 % of discrepancies due to positive plasma but negative PET results. It is unclear whether Show more
The agreement between plasma Aβ42/40 and Aβ positron emission tomography (PET) is approximately 75 %, with ∼85 % of discrepancies due to positive plasma but negative PET results. It is unclear whether this reflects Aβ changes in plasma before PET-detectable. To assess the influence of Aβ42/40 positivity on risk of progression to Aβ PET positivity, and feasibility of using plasma Aβ42/40 tests to enrich a primary prevention trial. A prospective longitudinal cohort study. Participants of Australian Imaging, Biomarkers and Lifestyle study (AIBL), Alzheimer's Disease Neuroimaging Initiative (ADNI), and Open Access Series of Imaging Studies 3 (OASIS3). 507 cognitively unimpaired adults at baseline, with a baseline Aβ PET < 20 Centiloid (CL) and available longitudinal Aβ PET data. Baseline Aβ PET and plasma Aβ42/40 measurement by mass-spectrometry, followed by 1-6 additional Aβ PET scans every 1.5-3 years. Those < 5 CL were classified as PET- and 5-20 CL as PET At baseline, 283 were Plasma-/PET-, 97 Plasma+/PET-, 76 Plasma-/PET Cognitively unimpaired individuals with abnormal Aβ42/40 are at increased risk for future Aβ PET positivity. In the 5-20 CL subgroup, baseline CL is the main driver of this risk. Combining blood-based pre-screening with PET imaging may help efficiently enrich primary prevention trials. Show less
Recent trials in Alzheimer's disease (AD) demonstrate encouraging outcomes. These trials target risk mechanisms identified through genetic analysis whilst directly aiming to reduce progression rates. Show more
Recent trials in Alzheimer's disease (AD) demonstrate encouraging outcomes. These trials target risk mechanisms identified through genetic analysis whilst directly aiming to reduce progression rates. Evidence from other neurodegenerative diseases suggests the genetics of progression is distinct from risk of disease. To expand these initial successes and improve clinical outcomes further we need to understand genetics of progression of disease. These can be deduced through rigorous analysis of meticulously phenotyped longitudinal cohorts. In this study we first looked at known genetic drivers of risk, namely polygenic risk scores for AD and A total of 387 individuals with, genetic data, amyloid positivity and in active decline (ADNI (n=222) and AIBL(n=165)) were used to perform generalised mixed effects linear model genome wide association studies of longitudinal cognitive decline as measured by mini mental state examination. The resulting summary statistics were subjected z, and colocalization analyses. Established AD risk factors, including These findings enhance our understanding of the biological underpinnings of AD progression, opening new avenues for therapeutic intervention. Show less
The profile of autoantibodies is dysregulated in patients with Alzheimer's disease (AD). Autoantibodies to beta-site amyloid precursor protein (APP)-cleaving enzyme 1 (BACE1) are present in human bloo Show more
The profile of autoantibodies is dysregulated in patients with Alzheimer's disease (AD). Autoantibodies to beta-site amyloid precursor protein (APP)-cleaving enzyme 1 (BACE1) are present in human blood. This study aims to investigate the clinical relevance and pathophysiological roles of autoantibodies to BACE1 in AD. Clinical investigations were conducted in two independent cohorts, the Chongqing cohort, and the Australian Imaging, Biomarkers, and Lifestyle (AIBL) cohort. The Chongqing cohort included 55 AD patients, 28 patients with non-AD dementia, and 70 cognitively normal subjects (CN). The AIBL cohort included 162 Aβ-PET Show less