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Peer-reviewedCC BY 4.0Alzheimer's Research & Therapy

Short-interval variability and test-retest reliability of Alzheimer’s disease plasma biomarkers in a clinically heterogenous cohort

1 more authors
12 affiliations
  1. 1Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3AR UK
  2. 2UK Dementia Research Institute at UCL, University College London, London, UK
  3. 3Neurology Department, Royal Adelaide Hospital and Queen Elizabeth Hospital, Adelaide, Australia
  4. 4School of Medicine, Adelaide University, Adelaide, Australia
  5. 5Neuroimmunology & CSF Laboratory, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
  6. 6Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London, UK
  7. 7MRC Centre for Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
  8. 8Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
  9. 9Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
  10. 10Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI USA
  11. 11Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI USA
  12. 12Centre for Brain Research, Indian Institute of Science, Bangalore, India

Abstract

Background: Assessment of short-term within-subject variability and test-retest reliability of Alzheimer’s disease (AD)-related plasma biomarkers is important for real-world clinical implementation and interpretation in research studies. In this study we aimed to assess short-term variability and reliability of core AD plasma biomarkers, proposed ratios, and evaluate a broader proteomic panel.

Methods: Two serial plasma samples were collected from each of the 92 participants enrolled in observational research studies over intervals ranging from 30 minutes to three months. Test-retest reliability and within-subject variability were assessed for 131 biomarkers measured on three immunoassays (Lumipulse G plasma p-tau217; Fujirebio, NULISAseq CNS Disease Panel and NULISAqpcr AD 5-Plex; Alamar Biosciences). We subsequently evaluated the stability of a dual cut-point approach for AD probability diagnostic categorisation and examined whether within-subject variability was associated with inter-sample interval (time between serial blood sampling).

Results: All core AD plasma biomarkers assessed in this study (Aβ42, BD-p-tau181, BD-p-tau217, BD-p-tau231, p-tau181, p-tau217, p-tau231, GFAP and NfL) demonstrated strong correlations (r ≥ 0.79) and high reliability (ICC ≥ 0.84). Within-subject variability was moderate to low for core AD plasma biomarkers. Using a validated dual cut-point approach for plasma p-tau217, most individuals (92%) remained within the same diagnostic category (high/indeterminate/low) across both timepoints, and no individual moved across two boundaries (i.e. from high to low AD probability categorisation or vice versa). For the majority of analytes, within-subject variability was not associated with inter-sample interval after adjustment for age and sex, however, the core AD plasma biomarker, NfL did have a significant association.

Conclusions: While core AD plasma biomarkers had limited variability and high reliability over short-intervals, other central nervous system (CNS)-relevant biomarkers showed greater variability, which may be relevant for interpretation in association studies and clinical applications.

Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1186/s13195-026-02180-8.

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BibTeX
@article{beament2026shortinterval,
  title = {{Short-interval variability and test-retest reliability of Alzheimer’s disease plasma biomarkers in a clinically heterogenous cohort}},
  author = {Millie Beament and Katharine Wiltshire and Christopher R S Belder and Emily Abel and Melanie Hart and Amanda J Heslegrave and Michael P Lunn and Miguel Rosa-Grilo and Owen Swann and Jonathan M Schott and Henrik Zetterberg and Nick C Fox and Ashvini Keshavan},
  journal = {Alzheimer's Research \& Therapy},
  year = {2026},
  month = oct,
  doi = {10.1186/s13195-026-02180-8},
  url = {https://doi.org/10.1186/s13195-026-02180-8},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Short-interval variability and test-retest reliability of Alzheimer’s disease plasma biomarkers in a clinically heterogenous cohort
AU  - Millie Beament
AU  - Katharine Wiltshire
AU  - Christopher R S Belder
AU  - Emily Abel
AU  - Melanie Hart
AU  - Amanda J Heslegrave
AU  - Michael P Lunn
AU  - Miguel Rosa-Grilo
AU  - Owen Swann
AU  - Jonathan M Schott
AU  - Henrik Zetterberg
AU  - Nick C Fox
AU  - Ashvini Keshavan
PY  - 2026
DA  - 2026/10/27
JO  - Alzheimer's Research & Therapy
DO  - 10.1186/s13195-026-02180-8
UR  - https://doi.org/10.1186/s13195-026-02180-8
AB  - Background: Assessment of short-term within-subject variability and test-retest reliability of Alzheimer’s disease (AD)-related plasma biomarkers is important for real-world clinical implementation and interpretation in research studies. In this study we aimed to assess short-term variability and reliability of core AD plasma biomarkers, proposed ratios, and evaluate a broader proteomic panel.  Methods: Two serial plasma samples were collected from each of the 92 participants enrolled in observational research studies over intervals ranging from 30 minutes to three months. Test-retest reliability and within-subject variability were assessed for 131 biomarkers measured on three immunoassays (Lumipulse G plasma p-tau217; Fujirebio, NULISAseq CNS Disease Panel and NULISAqpcr AD 5-Plex; Alamar Biosciences). We subsequently evaluated the stability of a dual cut-point approach for AD probability diagnostic categorisation and examined whether within-subject variability was associated with inter-sample interval (time between serial blood sampling).  Results: All core AD plasma biomarkers assessed in this study (Aβ42, BD-p-tau181, BD-p-tau217, BD-p-tau231, p-tau181, p-tau217, p-tau231, GFAP and NfL) demonstrated strong correlations (r ≥ 0.79) and high reliability (ICC ≥ 0.84). Within-subject variability was moderate to low for core AD plasma biomarkers. Using a validated dual cut-point approach for plasma p-tau217, most individuals (92%) remained within the same diagnostic category (high/indeterminate/low) across both timepoints, and no individual moved across two boundaries (i.e. from high to low AD probability categorisation or vice versa). For the majority of analytes, within-subject variability was not associated with inter-sample interval after adjustment for age and sex, however, the core AD plasma biomarker, NfL did have a significant association.  Conclusions: While core AD plasma biomarkers had limited variability and high reliability over short-intervals, other central nervous system (CNS)-relevant biomarkers showed greater variability, which may be relevant for interpretation in association studies and clinical applications.  Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1186/s13195-026-02180-8.
SN  - 1758-9193
ER  -