ArticleThe journal of prevention of Alzheimer's disease2025
The impact of pre-analytical factors on plasma biomarkers for Alzheimer's disease: The ASPREE Healthy Ageing Biobank.
Article in The journal of prevention of Alzheimer's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Progress in Optical Methods for the Detection of Two Core Blood Biomarkers of Alzheimer's Disease: Amyloid-Beta and Tau Proteins.Biosensors · 2026Review
- Plasma p-tau217 measured by the Elecsys automated immunoassay: Prospective validation in a heterogeneous memory clinic cohort.Journal of Alzheimer's disease : JAD · 2026Article
- Article
- Clinical translation of fluid, imaging, and digital biomarkers for Alzheimer's disease.Alzheimer's research & therapy · 2026Review
- Plasma Aβ42/p-Tau217 ratio and p-Tau217 independently predict CSF-defined Alzheimer's disease pathology in a Brazilian admixed cohort.Frontiers in aging neuroscience · 2026Article
- The Effect of Treating Hearing Loss with Hearing Aids on Plasma Biomarkers of Alzheimer's Disease and Related Dementias.medRxiv : the preprint server for health sciences · 2025Article
- The effect of treating hearing loss with hearing aids on plasma biomarkers of Alzheimer's disease and related dementias.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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Abstract
backgroundThe conditions under which samples were collected, processed, and stored in biobanks may influence Alzheimer's disease (AD) biomarker levels.
objectivesThis study aims to investigate whether a range of pre-analytical factors influence plasma levels of AD biomarkers.
methodsData were obtained from the ASPREE Healthy Ageing Biobank, a cohort of healthy community-dwelling older individuals aged 70+ years in Australia. Five biomarkers were measured using plasma from 11,868 individuals: phosphorylated-tau181 (p-tau181), neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), and amyloid-beta 42 and 40 (Aβ42/Aβ40). Linear regression examined the association between pre-analytical factors and biomarker levels.
resultsParticipants were aged 70-96 years, and 54 % were female. The mean storage time for samples was 10.6 years (range: 7.7-13.5). Some significant associations were identified between pre-analytical factors and biomarkers, in particular for p-tau181, but the effect sizes were small. Weak negative associations were found between p-tau181 and the time from venepuncture to laboratory (transport) (β: -0.82, p = 0.03), laboratory processing to frozen storage (β:-1.56, p < 0.001), and total years of storage (β: -0.45, p = 0.007), while a positive association was found with intermediate storage at -20 °C/-30 °C compared to -80 °C (β: 2.24, p = 0.004). Longer fasting time was associated with higher levels of both NfL (β: 0.15, p < 0.001) and GFAP (β: 1.75, p < 0.001).
conclusionFollowing standard operating procedures, AD biomarkers can be measured in plasma from biobanks stored for up to 13 years, with minimal impact from long-term storage or other pre-analytical factors.
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