CSF biomarkers trajectories across the AD spectrum reveal the temporal dynamics of amyloid and tau

Abstract Background The Alzheimer’s disease (AD) research framework proposes a biological definition of the disease. Still, little is known about longitudinal dynamics of core AD biomarker trajectories and how they map to each stage on the clinical spectrum. Methods Participants with abnormal amyloid across the cognitive spectrum (i.e. preclinical AD, prodromal AD and AD dementia) and cognitively unimpaired controls with initially normal CSF markers were included from Amsterdam Alzheimer Center studies when they had at least one repeated CSF sample available. In all 452 samples, we measured Aß1‐42, Aß 1‐40, Aß1‐42/Aß1‐40 ratio, total tau (tTau), phosphorylated tau (pTau) with the Lumipulse multiplex. We tested longitudinal changes in all markers with linear mixed models including random intercepts and slopes, adjusting for age and sex. Each model included an interaction term of time and clinical stage. The Emmeans package in R was used to extract stage specific estimates. Results By definition, all controls had higher (i.e., normal) amyloid markers and lower tau markers compared to subjects with preclinical, prodromal and AD dementia at baseline (p<0.001; Figure 1). Prodromal AD and dementia had the highest levels of tTau and pTau (all p<0.001) and the lowest levels of Aß1‐42/1‐40 ratio (all p<0.001), but were similar between both stages. Over 4±1sd years, Aß1‐42/1‐40 ratios decreased in controls and preclinical AD (p<0.001 and p=0.01 respectively), but remained unchanged in prodromal AD and dementia. CSF tTau and pTau increased over time in controls, preclinical and prodromal AD (all p<0.05), but did not in the dementia stage. Increases in pTau levels over time were steeper in both preclinical and prodromal AD than in controls (p<0.05) with 10% of controls reaching abnormal levels. Increases in tTau levels were steeper in prodromal AD only compared to controls (p<0.05). Conclusion In this sample, we found that amyloid shifts towards abnormal levels in controls, becomes more abnormal in preclinical AD, and stabilizes in MCI and dementia. Tau markers become more abnormal in preclinical and prodromal AD only, suggesting that increase in CSF tau requires abnormal amyloid. This suggests that interventions targeting amyloid optimally happen before CSF amyloid becomes abnormal to prevent tau accumulation.

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Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.091303
Primary Topic
Computational Drug Discovery Methods
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article
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article

CSF biomarkers trajectories across the AD spectrum reveal the temporal dynamics of amyloid and tau

Eleonora M. Vromen, Calvin Trieu, Argonde C. van Harten, Pieter Jelle Visser et al.
Alzheimer s & Dementia
Computational Drug Discovery Methods
article

CSF biomarkers trajectories across the AD spectrum reveal the temporal dynamics of amyloid and tau

Eleonora M. Vromen, Calvin Trieu, Argonde C. van Harten, Pieter Jelle Visser, Betty Marije Tijms, Wiesje M. van der Flier, Diederick Martijn de Leeuw, Elena R. Blujdea, Inge M.W. Verberk, Charlotte Elisabeth Teunissen, Yolande A.L. Pijnenburg
article en

Abstract

Abstract Background The Alzheimer’s disease (AD) research framework proposes a biological definition of the disease. Still, little is known about longitudinal dynamics of core AD biomarker trajectories and how they map to each stage on the clinical spectrum. Methods Participants with abnormal amyloid across the cognitive spectrum (i.e. preclinical AD, prodromal AD and AD dementia) and cognitively unimpaired controls with initially normal CSF markers were included from Amsterdam Alzheimer Center studies when they had at least one repeated CSF sample available. In all 452 samples, we measured Aß1‐42, Aß 1‐40, Aß1‐42/Aß1‐40 ratio, total tau (tTau), phosphorylated tau (pTau) with the Lumipulse multiplex. We tested longitudinal changes in all markers with linear mixed models including random intercepts and slopes, adjusting for age and sex. Each model included an interaction term of time and clinical stage. The Emmeans package in R was used to extract stage specific estimates. Results By definition, all controls had higher (i.e., normal) amyloid markers and lower tau markers compared to subjects with preclinical, prodromal and AD dementia at baseline (p<0.001; Figure 1). Prodromal AD and dementia had the highest levels of tTau and pTau (all p<0.001) and the lowest levels of Aß1‐42/1‐40 ratio (all p<0.001), but were similar between both stages. Over 4±1sd years, Aß1‐42/1‐40 ratios decreased in controls and preclinical AD (p<0.001 and p=0.01 respectively), but remained unchanged in prodromal AD and dementia. CSF tTau and pTau increased over time in controls, preclinical and prodromal AD (all p<0.05), but did not in the dementia stage. Increases in pTau levels over time were steeper in both preclinical and prodromal AD than in controls (p<0.05) with 10% of controls reaching abnormal levels. Increases in tTau levels were steeper in prodromal AD only compared to controls (p<0.05). Conclusion In this sample, we found that amyloid shifts towards abnormal levels in controls, becomes more abnormal in preclinical AD, and stabilizes in MCI and dementia. Tau markers become more abnormal in preclinical and prodromal AD only, suggesting that increase in CSF tau requires abnormal amyloid. This suggests that interventions targeting amyloid optimally happen before CSF amyloid becomes abnormal to prevent tau accumulation.

Alzheimer s & DementiaVol. 20(S2)
Karolinska Institutet (SE), Maastricht University (NL), Amsterdam Neuroscience (NL), Amsterdam University Medical Centers (NL), Vrije Universiteit Amsterdam (NL), Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
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Openalex Percentile: Top 70%
Computational Drug Discovery Methods
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