Performance of plasma NTK biomarkers to detect amyloid‐β pathology in cognitively unimpaired individuals at risk of Alzheimer’s disease

Abstract Background Alzheimer disease (AD) plasma biomarkers change in the preclinical stage of AD. However, the robustness of the discrimination performance of these biomarkers, as well as their association with longitudinal primary pathology (amyloid and tau) changes, is less understood. We aimed to determine the ability of baseline and longitudinal plasma amyloid‐β (Aβ)42/40, p‐tau181, GFAP and NfL to detect primary pathology in CU individuals at risk of AD. Method Plasma biomarkers were measured using the NeuroToolKit (NTK), a panel of robust prototype biomarker assays (Roche Diagnostics International Ltd, Rotkreuz, Switzerland), in CU participants of ALFA+. We assessed their performance for detecting early signs of amyloid‐positivity (as defined by CSF Aβ42/40 <0.071 or amyloid PET ≥12 Centiloids) using ROC analyses. We simulated the impact of random variability on each biomarker’s detection performance. Finally, we tested the baseline and longitudinal association of plasma biomarkers with longitudinal changes of primary pathology over three years. Results We included 403 CU participants (49.3‐73.6 years old), 135 (33.5%) were CSF amyloid‐positive (Table 1), and 345 had amyloid PET available (15.7% PET amyloid‐positive). Plasma Aβ42/40 had the highest performance for Aβ‐positivity discrimination [AUC(CSF):0.87, AUC(PET):0.90], followed by p‐tau181 [AUC(CSF):0.72, AUC(PET):0.81]. Adding plasma NTK ApoE4 significantly improved the performance of plasma p‐tau181 and GFAP [AUC: 0.79 and 0.81]. Plasma Aβ42/40 was the most sensitive biomarker to the addition of random variability, while the others remained moderately stable (Figure 1). In PET amyloid‐negative individuals, lower baseline plasma Aβ42/40 was associated with longitudinal increases in amyloid PET Centiloids and CSF p‐tau181. In the low‐Aβ‐burden group (CSF amyloid‐positive, PET amyloid‐negative), higher baseline plasma p‐tau181 was associated with longitudinal increases in CSF p‐tau181. Plasma GFAP changed concurrently with amyloid, both CSF and PET, before amyloid PET becomes positive (Table 2). Conclusions Plasma Aβ42/40 had the best performance in detecting Aβ pathology, but its discrimination performance was more sensitive to measurement variability. Plasma Aβ42/40 and p‐tau181 predict longitudinal changes in amyloid and tau pathology. Plasma GFAP changed concurrently with amyloid pathology. Overall, our study showed that different blood‐based biomarkers offer distinct information in preclinical AD, making each of them valuable for diagnostic, prognostic or monitoring purposes.

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Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.090801
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
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article

Performance of plasma NTK biomarkers to detect amyloid‐β pathology in cognitively unimpaired individuals at risk of Alzheimer’s disease

Marta Milà‐Alomà, Nicholas James Ashton, Kaj Blennow, Wagner S. Brum et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Performance of plasma NTK biomarkers to detect amyloid‐β pathology in cognitively unimpaired individuals at risk of Alzheimer’s disease

Marta Milà‐Alomà, Nicholas James Ashton, Kaj Blennow, Wagner S. Brum, Marta del Campo, Armand González Escalante, Mahnaz Shekari, Paula Ortiz‐Romero, Federica Anastasi, Juan Domingo Gispert, Gwendlyn Kollmorgen, Henrik Zetterberg, Natàlia Vilor‐Tejedor, Marc Suárez‐Calvet, Carolina Minguillón, Clara Quijano‐Rubio
article en

Abstract

Abstract Background Alzheimer disease (AD) plasma biomarkers change in the preclinical stage of AD. However, the robustness of the discrimination performance of these biomarkers, as well as their association with longitudinal primary pathology (amyloid and tau) changes, is less understood. We aimed to determine the ability of baseline and longitudinal plasma amyloid‐β (Aβ)42/40, p‐tau181, GFAP and NfL to detect primary pathology in CU individuals at risk of AD. Method Plasma biomarkers were measured using the NeuroToolKit (NTK), a panel of robust prototype biomarker assays (Roche Diagnostics International Ltd, Rotkreuz, Switzerland), in CU participants of ALFA+. We assessed their performance for detecting early signs of amyloid‐positivity (as defined by CSF Aβ42/40 <0.071 or amyloid PET ≥12 Centiloids) using ROC analyses. We simulated the impact of random variability on each biomarker’s detection performance. Finally, we tested the baseline and longitudinal association of plasma biomarkers with longitudinal changes of primary pathology over three years. Results We included 403 CU participants (49.3‐73.6 years old), 135 (33.5%) were CSF amyloid‐positive (Table 1), and 345 had amyloid PET available (15.7% PET amyloid‐positive). Plasma Aβ42/40 had the highest performance for Aβ‐positivity discrimination [AUC(CSF):0.87, AUC(PET):0.90], followed by p‐tau181 [AUC(CSF):0.72, AUC(PET):0.81]. Adding plasma NTK ApoE4 significantly improved the performance of plasma p‐tau181 and GFAP [AUC: 0.79 and 0.81]. Plasma Aβ42/40 was the most sensitive biomarker to the addition of random variability, while the others remained moderately stable (Figure 1). In PET amyloid‐negative individuals, lower baseline plasma Aβ42/40 was associated with longitudinal increases in amyloid PET Centiloids and CSF p‐tau181. In the low‐Aβ‐burden group (CSF amyloid‐positive, PET amyloid‐negative), higher baseline plasma p‐tau181 was associated with longitudinal increases in CSF p‐tau181. Plasma GFAP changed concurrently with amyloid, both CSF and PET, before amyloid PET becomes positive (Table 2). Conclusions Plasma Aβ42/40 had the best performance in detecting Aβ pathology, but its discrimination performance was more sensitive to measurement variability. Plasma Aβ42/40 and p‐tau181 predict longitudinal changes in amyloid and tau pathology. Plasma GFAP changed concurrently with amyloid pathology. Overall, our study showed that different blood‐based biomarkers offer distinct information in preclinical AD, making each of them valuable for diagnostic, prognostic or monitoring purposes.

Alzheimer s & DementiaVol. 20(S2)
Roche (Switzerland) (CH), Universidad San Pablo CEU (ES), Universidade Federal do Rio Grande do Sul (BR), University of Wisconsin–Madison (US), Universitat Pompeu Fabra (ES), King's College London (GB), Stavanger University Hospital (NO), Sahlgrenska University Hospital (SE), Instituto de Salud Carlos III (ES), Erasmus MC (NL), Spanish National Centre for Cardiovascular Research (ES), Centre for Mental Health (GB), Roche Pharma AG (Germany) (DE), Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (ES), Pasqual Maragall Foundation (ES), Barcelonaβeta Brain Research Center (ES), Hospital Del Mar (ES), Centre for Genomic Regulation (ES), Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (ES), National Hospital for Neurology and Neurosurgery (GB), Hospital del Mar Research Institute (ES), University College London (GB), University of Gothenburg (SE)
Openalex Percentile: Top 65%
Dementia and Cognitive Impairment Research
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