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Short-term variability of Alzheimer’s disease plasma biomarkers in a mixed memory clinic cohort

Frederikke Kragh Clemmensen, Mathias Holsey Gramkow, Anja Hviid Simonsen, Nicholas J. Ashton, Hanna Huber, Kaj Blennow, Henrik Zetterberg, Gunhild Waldemar, Steen Gregers Hasselbalch, Kristian Steen Frederiksen

2025Alzheimer s Research & Therapy17 citationsDOIOpen Access PDF

Abstract

BACKGROUND: For clinical implementation of Alzheimer's disease (AD) blood-based biomarkers (BBMs), knowledge of short-term variability, is crucial to ensure safe and correct biomarker interpretation, i.e., to capture changes or treatment effects that lie beyond that of expected short-term variability and considered clinically relevant. In this study we investigated short-term intra- and inter-individual variability of AD biomarkers in the intended use population, memory clinic patients. METHODS: In a consecutive sample of memory clinic patients (AD n = 27, non-AD n = 20), blood samples were collected on three separate days within a period of 36 days and analysed for plasma Aβ40, Aβ42, p-tau181, p-tau217, p-tau231, T-tau, neurofilament light (NfL), and glial fibrillary acidic protein (GFAP). We measured intra- and inter-individual variability and explored if the variability could be affected by confounding factors. Secondly, we established the minimum change required to detect a difference between two given blood samples that exceeds intra-individual variability and analytical variation (reference change value, RCV). Finally, we tested if classification accuracy varied across the three visits. RESULTS: Intra-individual variability ranged from ~ 3% (Aβ42/40) to ~ 12% (T-tau). Inter-individual variability ranged from ~ 7% (Aβ40) to ~ 39% (NfL). Adjusting the models for time, eGFR, Hba1c, and BMI did not affect the variation. RCV was lowest for Aβ42/Aβ40 (- ~ 15%/ + ~ 17%) and highest in p-tau181 (- ~ 30/ + ~ 42%). No variation in classification accuracies was found across visits. CONCLUSION: We found low intra-individual variability, robust to various factors, appropriate to capture individual changes in AD BBMs, while moderate inter-individual variability may give rise to caution in diagnostic contexts. High RCVs may pose challenges for AD BBMs with low fold changes and consequently, short-term variability is important to take into consideration when, e.g., estimating intervention effect and longitudinal changes of AD BBM levels. TRIAL REGISTRATION: Clinicaltrials.gov (NCT05175664), date of registration 2021-12-01.

Topics & Concepts

Geriatric psychiatryNeurologyMedicineCohortDiseaseMemory clinicTerm (time)Alzheimer's diseaseDementiaGerontologyInternal medicinePsychiatryQuantum mechanicsPhysicsDementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsS100 Proteins and Annexins