Detecting Amyloid–β Pathology in Subjective Cognitive Decline using novel CSF and plasma biomarkers

Abstract Background Cerebrospinal fluid (CSF) and blood‐based biomarkers are essential tools for detecting individuals with cognitive complaints and at‐risk of Alzheimer's disease (AD). However, their utility in detecting underlying AD pathology in subjective cognitive decline (SCD) remains to be fully established, and direct comparisons between different biomarkers and platforms are needed. This study aimed to compare the performance of CSF and blood‐based biomarkers for detecting Amyloid‐b (Ab) pathology in individuals with SCD, including core AD and AD‐related pathophysiology biomarkers Method We studied individuals with SCD from the β‐AARC cohort, which enrolled individuals seeking medical advice for cognitive complaints. Ab‐positivity (A+) was defined as CSF Aβ42/Aβ40<0.062 (Lumipulse). The following CSF biomarkers were compared: p ‐tau181, t‐tau, α‐synuclein, GFAP, IL‐6, NfL, Neurogranin, S100B, sTREM2, YKL40, and tau variants (NTA‐tau, p ‐tau205, p ‐tau235, and p ‐tau231). Plasma biomarkers included Aβ42/Aβ40, p ‐tau181, p ‐tau217, GFAP, NfL, NPTX2, SNAP25 and YKL40. Calculated ratios of amyloid and tau biomarkers in CSF and plasma were also analyzed. Biomarkers were analyzed using either Lumipulse, Simoa or Elecsys platforms. Diagnostic performance was assessed using Receiver Operating Characteristic (ROC) analysis, with sensitivity, specificity and negative (NPV) and positive predictive value (PPV) derived from the optimal Youden's Index cutoff. Result We analyzed 143 individuals with SCD (25% A+; Table 1) Beyond AD CSF core biomarkers (Aβ42/Aβ40, p ‐tau181), CSF p ‐tau231, p ‐tau205, and p ‐tau235 showed the largest effect sizes among significant biomarkers ( p <0.05, FDR corrected, Table 2), and achieved an NPV>0.95 for detecting amyloid status in CSF. In plasma (Table 3), p ‐tau217 and p ‐tau217/Aβ42 by either Lumipulse, Elecsys or Simoa, as well as p ‐tau181/Aβ42 (Elecsys), and Aβ42/Aβ40 (Lumipulse) exhibited the highest discrimination accuracies (AUC >0.90, NPV >0.95). However, only CSF p ‐tau181/Aβ42 (Lumipulse), showed a PPV>90%. Conclusion Several CSF and plasma biomarkers distinguished A+ from A− individuals with cognitive complaints but normal cognition. Furthermore, plasma biomarkers are effective for ruling out Aβ pathology in SCD individuals, showing high NPVs. However, due to modest PPVs, their utility for confirmation is limited in low A+ prevalence settings like in the β‐AARC study.

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Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_105115
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
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article

Detecting Amyloid–β Pathology in Subjective Cognitive Decline using novel CSF and plasma biomarkers

Karine Fauria, Federico Emanuele Pozzi, Fernando González‐Ortiz, Armand González Escalante et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Detecting Amyloid–β Pathology in Subjective Cognitive Decline using novel CSF and plasma biomarkers

Karine Fauria, Federico Emanuele Pozzi, Fernando González‐Ortiz, Armand González Escalante, Nathalie Le Bastard, Paula Ortiz‐Romero, Laia Montoliu‐Gaya, Ana Fernández‐Arcos, Gwendlyn Kollmorgen, Eugeen Vanmechelen, Kaj Blennow, Carolina Minguillón, Clara Quijano‐Rubio, Alícia Nadal, Gonzalo Sánchez‐Benavides, Juan Lantero Rodriguez, Oriol Grau‐Rivera, Marta del Campo, Jose Luis Molinuevo, Marc Suárez‐Calvet, Nicholas Ashton, Henrik Zetterberg, José Contador, Juan Domingo Gispert, Javier Torres‐Torronteras
article en

Abstract

Abstract Background Cerebrospinal fluid (CSF) and blood‐based biomarkers are essential tools for detecting individuals with cognitive complaints and at‐risk of Alzheimer's disease (AD). However, their utility in detecting underlying AD pathology in subjective cognitive decline (SCD) remains to be fully established, and direct comparisons between different biomarkers and platforms are needed. This study aimed to compare the performance of CSF and blood‐based biomarkers for detecting Amyloid‐b (Ab) pathology in individuals with SCD, including core AD and AD‐related pathophysiology biomarkers Method We studied individuals with SCD from the β‐AARC cohort, which enrolled individuals seeking medical advice for cognitive complaints. Ab‐positivity (A+) was defined as CSF Aβ42/Aβ40<0.062 (Lumipulse). The following CSF biomarkers were compared: p ‐tau181, t‐tau, α‐synuclein, GFAP, IL‐6, NfL, Neurogranin, S100B, sTREM2, YKL40, and tau variants (NTA‐tau, p ‐tau205, p ‐tau235, and p ‐tau231). Plasma biomarkers included Aβ42/Aβ40, p ‐tau181, p ‐tau217, GFAP, NfL, NPTX2, SNAP25 and YKL40. Calculated ratios of amyloid and tau biomarkers in CSF and plasma were also analyzed. Biomarkers were analyzed using either Lumipulse, Simoa or Elecsys platforms. Diagnostic performance was assessed using Receiver Operating Characteristic (ROC) analysis, with sensitivity, specificity and negative (NPV) and positive predictive value (PPV) derived from the optimal Youden's Index cutoff. Result We analyzed 143 individuals with SCD (25% A+; Table 1) Beyond AD CSF core biomarkers (Aβ42/Aβ40, p ‐tau181), CSF p ‐tau231, p ‐tau205, and p ‐tau235 showed the largest effect sizes among significant biomarkers ( p <0.05, FDR corrected, Table 2), and achieved an NPV>0.95 for detecting amyloid status in CSF. In plasma (Table 3), p ‐tau217 and p ‐tau217/Aβ42 by either Lumipulse, Elecsys or Simoa, as well as p ‐tau181/Aβ42 (Elecsys), and Aβ42/Aβ40 (Lumipulse) exhibited the highest discrimination accuracies (AUC >0.90, NPV >0.95). However, only CSF p ‐tau181/Aβ42 (Lumipulse), showed a PPV>90%. Conclusion Several CSF and plasma biomarkers distinguished A+ from A− individuals with cognitive complaints but normal cognition. Furthermore, plasma biomarkers are effective for ruling out Aβ pathology in SCD individuals, showing high NPVs. However, due to modest PPVs, their utility for confirmation is limited in low A+ prevalence settings like in the β‐AARC study.

Alzheimer s & DementiaVol. 21(S2)
Roche (Switzerland) (CH), Ablynx (Belgium) (BE), University of Wisconsin–Madison (US), Universitat Pompeu Fabra (ES), King's College London (GB), Hong Kong Science and Technology Parks Corporation (HK), Sahlgrenska University Hospital (SE), Instituto de Salud Carlos III (ES), Sorbonne Université (FR), Profu (Sweden) (SE), Roche Pharma AG (Germany) (DE), Pasqual Maragall Foundation (ES), Azienda Ospedaliera San Gerardo (IT), Institut de Myologie (FR), Pitié-Salpêtrière Hospital (FR), UK Dementia Research Institute (GB), Barcelonaβeta Brain Research Center (ES), Hospital Del Mar (ES), Fujirebio (Japan) (JP), Banner Sun Health Research Institute (US), Wisconsin Division of Public Health (US), Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (ES), National Hospital for Neurology and Neurosurgery (GB), Institut du Cerveau (FR), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Banner Alzheimer’s Institute, ADx NeuroSciences, University College London (GB), Fujirebio (Belgium) (BE), University of Gothenburg (SE)
Openalex Percentile: Top 29%
Dementia and Cognitive Impairment Research
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