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Updated: Jun 25, 2026

Biochemical Purification and Proteomic Characterization of Amyloid Fibril Cores from the Brain
Published on: April 28, 2022
Beyond amyloid and tau: synaptic and neurodegenerative biomarkers shape MCI progression
Constance Delaby1,2, Susanna Schraen-Maschke3, Claire Paquet4
1LBPC-PPC, Université de Montpellier, INM INSERM, IRMB CHU de Montpellier, Montpellier, France.
Abstract:
Accurate prediction of which patients with mild cognitive impairment (MCI) will progress to dementia remains a major challenge. Current biomarkers detect amyloid pathology with high accuracy but offer limited prognostic value for disease progression. We conducted a prospective analysis in the multicentre BALTAZAR cohort, all diagnosed with MCI at baseline and followed for 3 years. Paired cerebrospinal fluid (CSF) and plasma samples were analysed with the NULISA ultrasensitive multiplex platform quantifying more than 120 central nervous system biomarkers. Prognostic performance was assessed using area under the curve (AUC) and hazard ratios (HRs), both for individual markers and for elastic-net-derived biomarker combinations validated by bootstrap and survival analyses. During the 3-year follow-up, 36% of participants converted to dementia. Plasma p-tau biomarkers showed strong accuracy for detecting amyloid positivity (AUC > 0.90) but limited prognostic value for conversion (AUC < 0.75). In CSF, markers of neurodegeneration (tau, NfL) and synaptic dysfunction (NPTX2 encoding the Neuronal Pentraxin 2) predicted conversion with higher accuracy, exceeding p-tau217 performance. The best-performing CSF combination (IL-16, tau, NPTX2) achieved an AUC of 0.86 (95%CI 0.80-0.91) and an HR of 39.8 (95%CI 9.6-165.2). Plasma combinations (p-tau181 or p-tau217 with YWHAG encoding for 14-3-3 protein gamma, a member of the 14-3-3 protein family) provided only modest improvement, likely reflecting the absence of robust synaptic markers in blood. Prognostic assessment of MCI progression to dementia is best achieved through CSF biomarker combinations reflecting neurodegeneration and synaptic dysfunction, complemented by inflammatory markers. These findings emphasize the clinical and pathophysiological relevance of downstream processes beyond amyloid and tau, and support the implementation of multimarker panels for prognosis and therapeutic monitoring.
Insights
Predicting dementia progression in mild cognitive impairment (MCI) is challenging. Cerebrospinal fluid biomarkers for neurodegeneration and synaptic dysfunction show the best prognostic value, outperforming plasma tests.
Area of Science:
- Neuroscience
- Biomarker Discovery
- Clinical Neurology
Background:
- Accurate prediction of mild cognitive impairment (MCI) progression to dementia is a significant clinical challenge.
- Current amyloid biomarkers have high accuracy for pathology detection but limited prognostic value for disease progression.
- Identifying reliable prognostic biomarkers is crucial for timely intervention and therapeutic monitoring.
Purpose of the Study:
- To evaluate the prognostic performance of cerebrospinal fluid (CSF) and plasma biomarkers for predicting dementia conversion in MCI patients.
- To identify optimal biomarker combinations for assessing MCI progression.
- To explore the role of neurodegeneration, synaptic dysfunction, and inflammatory markers in predicting dementia conversion.
Main Methods:
- Prospective analysis of the BALTAZAR cohort (MCI patients followed for 3 years).
- Analysis of paired CSF and plasma samples using the NULISA ultrasensitive multiplex platform (>120 biomarkers).
- Prognostic performance assessed using Area Under the Curve (AUC) and Hazard Ratios (HRs), including elastic-net biomarker combinations.
Main Results:
- 36% of participants converted to dementia within 3 years.
- Plasma p-tau biomarkers accurately detected amyloid positivity but had limited prognostic value for conversion (AUC < 0.75).
- CSF markers of neurodegeneration (tau, NfL) and synaptic dysfunction (NPTX2) showed higher accuracy in predicting conversion, with the best CSF combination (IL-16, tau, NPTX2) achieving an AUC of 0.86.
Conclusions:
- CSF biomarker combinations reflecting neurodegeneration and synaptic dysfunction, potentially complemented by inflammatory markers, offer the best prognostic assessment for MCI progression to dementia.
- These findings highlight the importance of downstream pathophysiological processes beyond amyloid and tau.
- Multimarker panels are supported for prognosis and therapeutic monitoring in MCI.
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