Reference proteins to improve Core 1 and Core 2 Alzheimer’s disease CSF and plasma biomarkers
(2026) In Brain 149(4). p.1153-1167- Abstract
Concentration-based fluid biomarkers represent an informative and cost-effective way to detect and monitor Alzheimer’s disease (AD) pathology. However, non-AD-related interindividual variation in biofluids can also affect biomarker concentrations. Here, we investigated whether normalization of CSF and plasma biomarkers to reference proteins, such as amyloid-β40 (Aβ40) and non-phosphorylated mid-region tau (np-tau), improves their robustness and reliability of representing AD pathology load. Using the Swedish BioFINDER-2 cohort [n = 1702, 50.7% male, mean (standard deviation) age 68.4 (12.2) years], we compared the associations between tau/Aβ-PET load and fluid biomarkers alone versus biomarkers in a ratio with a reference protein (Aβ40... (More)
Concentration-based fluid biomarkers represent an informative and cost-effective way to detect and monitor Alzheimer’s disease (AD) pathology. However, non-AD-related interindividual variation in biofluids can also affect biomarker concentrations. Here, we investigated whether normalization of CSF and plasma biomarkers to reference proteins, such as amyloid-β40 (Aβ40) and non-phosphorylated mid-region tau (np-tau), improves their robustness and reliability of representing AD pathology load. Using the Swedish BioFINDER-2 cohort [n = 1702, 50.7% male, mean (standard deviation) age 68.4 (12.2) years], we compared the associations between tau/Aβ-PET load and fluid biomarkers alone versus biomarkers in a ratio with a reference protein (Aβ40 or np-tau) in univariate linear regression models. Fluid biomarkers included CSF and plasma measures of p-tau217, p-tau181, p-tau205, np-tau181-190, np-tau195–210, np-tau212–221, Aβ42 and Aβ40; CSF MTBR-tau243, SNAP-25, neurogranin, YKL-40 and sTREM2; and plasma eMTBR-tau243. Biomarkers were measured with mass spectrometry assays and/or immunoassays. In addition, we performed validation and extended analyses, comparing, for example, group-level diagnostic differences and longitudinal biomarker trajectories, in three independent prospective cohorts [BioFINDER-1, Knight Alzheimer Disease Research Center (ADRC) and Translational Biomarkers in Aging and Dementia (TRIAD)] and in an Italian multiple sclerosis cohort. CSF Aβ40 normalization significantly strengthened the associations of several core CSF AD biomarkers, including CSF MTBR-tau243, p-tau isoforms and synaptic biomarkers, with tau-PET (ΔR2 = 0.064–0.24) and Aβ-PET (ΔR2 = 0.016–0.28). Normalization to CSF np-tau mainly improved concordance with Aβ-PET (ΔR2 = −0.0059 to 0.19). The strongest association with tau-PET was observed for MTBR-tau243/Aβ40 (R2 = 0.78, compared with 0.65 for non-normalized MTBR-tau243), and with Aβ-PET for p-tau217/np-tau (R2 = 0.65, compared with 0.46 for non-normalized p-tau217). Plasma biomarker associations with tau-PET improved when using normalization to plasma Aβ40 or np-tau (ΔR2 = 0.004–0.14), with the strongest effect for eMTBR-tau243/np-tau (R2 = 0.72 versus 0.60). Associations with Aβ-PET were enhanced with np-tau normalization (ΔR2 = 0.018–0.16, strongest for p-tau217/np-tau: R2 = 0.62 versus 0.53). The results were replicated in Knight ADRC and TRIAD. Furthermore, longitudinal analyses showed that Aβ40 normalization typically reduced interindividual rather than intra-individual variability over time. Normalization did not enhance group-level differences in inflammatory CSF biomarkers in AD, nor did it improve biomarker associations in the multiple sclerosis cohort. In conclusion, normalization of CSF and plasma biomarkers to reference proteins, such as Aβ40 or np-tau, enhances their association with brain tau and Aβ pathology, making already high-performing AD fluid biomarkers even more accurate.
(Less)
- author
- organization
-
- LU Profile Area: Proactive Ageing
- Clinical Memory Research (research group)
- MultiPark: Multidisciplinary research on neurodegenerative diseases
- Neurodegenerative research
- Computer Vision and Machine Learning (research group)
- LU Profile Area: Natural and Artificial Cognition
- LTH Profile Area: AI and Digitalization
- eSSENCE: The e-Science Collaboration
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- Lund Laser Centre, LLC
- LTH Profile Area: Photon Science and Technology
- LU Profile Area: Nature-based future solutions
- LU Profile Area: Light and Materials
- LTH Profile Area: Engineering Health
- Stroke Imaging Research group (research group)
- WCMM-Wallenberg Centre for Molecular Medicine
- Brain Injury After Cardiac Arrest (research group)
- publishing date
- 2026-04
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Alzheimer’s disease, Aβ40, CSF biomarkers, normalization, PET, plasma biomarkers
- in
- Brain
- volume
- 149
- issue
- 4
- pages
- 15 pages
- publisher
- Oxford University Press
- external identifiers
-
- scopus:105035239495
- pmid:41051312
- ISSN
- 0006-8950
- DOI
- 10.1093/brain/awaf375
- language
- English
- LU publication?
- yes
- id
- 33816df4-3db6-493c-9bbc-46dbcf87b985
- date added to LUP
- 2026-06-12 09:07:42
- date last changed
- 2026-09-05 21:40:41
@article{33816df4-3db6-493c-9bbc-46dbcf87b985,
abstract = {{<p>Concentration-based fluid biomarkers represent an informative and cost-effective way to detect and monitor Alzheimer’s disease (AD) pathology. However, non-AD-related interindividual variation in biofluids can also affect biomarker concentrations. Here, we investigated whether normalization of CSF and plasma biomarkers to reference proteins, such as amyloid-β40 (Aβ40) and non-phosphorylated mid-region tau (np-tau), improves their robustness and reliability of representing AD pathology load. Using the Swedish BioFINDER-2 cohort [n = 1702, 50.7% male, mean (standard deviation) age 68.4 (12.2) years], we compared the associations between tau/Aβ-PET load and fluid biomarkers alone versus biomarkers in a ratio with a reference protein (Aβ40 or np-tau) in univariate linear regression models. Fluid biomarkers included CSF and plasma measures of p-tau217, p-tau181, p-tau205, np-tau181-190, np-tau195–210, np-tau212–221, Aβ42 and Aβ40; CSF MTBR-tau243, SNAP-25, neurogranin, YKL-40 and sTREM2; and plasma eMTBR-tau243. Biomarkers were measured with mass spectrometry assays and/or immunoassays. In addition, we performed validation and extended analyses, comparing, for example, group-level diagnostic differences and longitudinal biomarker trajectories, in three independent prospective cohorts [BioFINDER-1, Knight Alzheimer Disease Research Center (ADRC) and Translational Biomarkers in Aging and Dementia (TRIAD)] and in an Italian multiple sclerosis cohort. CSF Aβ40 normalization significantly strengthened the associations of several core CSF AD biomarkers, including CSF MTBR-tau243, p-tau isoforms and synaptic biomarkers, with tau-PET (ΔR2 = 0.064–0.24) and Aβ-PET (ΔR2 = 0.016–0.28). Normalization to CSF np-tau mainly improved concordance with Aβ-PET (ΔR2 = −0.0059 to 0.19). The strongest association with tau-PET was observed for MTBR-tau243/Aβ40 (R2 = 0.78, compared with 0.65 for non-normalized MTBR-tau243), and with Aβ-PET for p-tau217/np-tau (R2 = 0.65, compared with 0.46 for non-normalized p-tau217). Plasma biomarker associations with tau-PET improved when using normalization to plasma Aβ40 or np-tau (ΔR2 = 0.004–0.14), with the strongest effect for eMTBR-tau243/np-tau (R2 = 0.72 versus 0.60). Associations with Aβ-PET were enhanced with np-tau normalization (ΔR2 = 0.018–0.16, strongest for p-tau217/np-tau: R2 = 0.62 versus 0.53). The results were replicated in Knight ADRC and TRIAD. Furthermore, longitudinal analyses showed that Aβ40 normalization typically reduced interindividual rather than intra-individual variability over time. Normalization did not enhance group-level differences in inflammatory CSF biomarkers in AD, nor did it improve biomarker associations in the multiple sclerosis cohort. In conclusion, normalization of CSF and plasma biomarkers to reference proteins, such as Aβ40 or np-tau, enhances their association with brain tau and Aβ pathology, making already high-performing AD fluid biomarkers even more accurate.</p>}},
author = {{Karlsson, Linda and Janelidze, Shorena and Barthélemy, Nicolas R. and Horie, Kanta and Therriault, Joseph and Gaetani, Lorenzo and Bellomo, Giovanni and Schindler, Suzanne E. and Vogel, Jacob and Arvidsson, Ida and Åström, Kalle and Gordon, Brian A. and Raji, Cyrus A. and Benzinger, Tammie L.S. and Morris, John C. and Nilsson, Johanna and Brinkmalm, Ann and Palmqvist, Sebastian and Stomrud, Erik and Salvadó, Gemma and Pichet Binette, Alexa and Di Filippo, Massimiliano and Parnetti, Lucilla and Rosa-Neto, Pedro and Blennow, Kaj and Bateman, Randall J. and Mattsson-Carlgren, Niklas and Hansson, Oskar}},
issn = {{0006-8950}},
keywords = {{Alzheimer’s disease; Aβ40; CSF biomarkers; normalization; PET; plasma biomarkers}},
language = {{eng}},
number = {{4}},
pages = {{1153--1167}},
publisher = {{Oxford University Press}},
series = {{Brain}},
title = {{Reference proteins to improve Core 1 and Core 2 Alzheimer’s disease CSF and plasma biomarkers}},
url = {{http://dx.doi.org/10.1093/brain/awaf375}},
doi = {{10.1093/brain/awaf375}},
volume = {{149}},
year = {{2026}},
}
