Beyond amyloid and tau: synaptic and neurodegenerative biomarkers shape MCI progression
Delaby, C.; Schraen-Maschke, S.; Paquet, C.; Blanc, F.; Vidal, J.-S.; Hirtz, C.; Assous, S.; Allinquant, B.; Bombois, S.; Gabelle, A.; Hanon, O.; Lehmann, S.
Show abstract
BackgroundAccurate prediction of which patients with mild cognitive impairment (MCI) will progress to Alzheimers disease (AD) remains a major unmet clinical need. Current biomarkers detect amyloid pathology with high accuracy but offer limited prognostic value for disease progression. MethodsWe conducted a prospective analysis in the multicentre BALTAZAR cohort (NCT01315639), all diagnosed with MCI at baseline and followed clinically for 3 years. Paired cerebrospinal fluid (CSF) and plasma samples were collected on the same day and analysed with the NULISA ultrasensitive multimarker platform quantifying 120 central nervous system biomarkers. Prognostic performance for conversion to AD dementia was assessed using area under the receiver operating characteristic curve (AUC) and hazard ratios (HRs), both for individual markers and for elastic-net-derived biomarker combinations validated by bootstrap and survival analyses. FindingsDuring the 3-year follow-up, 63% of participants converted to AD. Plasma p-tau biomarkers showed strong accuracy for detecting amyloid positivity (AUC > 0{middle dot}90) but limited prognostic value for conversion (AUC < 0{middle dot}75). In CSF, markers of neurodegeneration (tau, p-tau181, NfL) and synaptic dysfunction (NPTX2) predicted conversion with higher accuracy, matching or exceeding p-tau217 performance. The best-performing CSF combination (IL-16, tau, NPTX2) achieved an AUC of 0{middle dot}86 (95% CI 0{middle dot}80-0{middle dot}91) and an HR of 39{middle dot}8 (95% CI 9{middle dot}6-165{middle dot}2). Plasma combinations (e.g., p-tau181 or p-tau217 with YWHAG) provided only modest improvement, likely reflecting the absence of robust synaptic markers in blood. InterpretationPrognostic assessment of MCI progression to AD is best achieved through CSF biomarker combinations reflecting neurodegeneration and synaptic dysfunction, complemented by inflammatory markers. These findings emphasise the clinical and pathophysiological relevance of downstream processes beyond amyloid and tau, and support the implementation of multimarker panels for prognosis and therapeutic monitoring.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Plasma p-tau181/Aβ 1-42 ratio predicts Aβ-PET status and correlates with CSF-p-tau181/Aβ 1-42 and future cognitive decline 98%
- Plasma p217+tau vs NAV4694 amyloid and MK6240 tau PET across the Alzheimer continuum 97%
- CSF metabolites associate with CSF tau and improve prediction of Alzheimer's disease status 96%
Similar papers in this journal
Similar papers in this journal
- A Comprehensive Head-to-Head Comparison of Key Plasma Phosphorylated Tau 217 Biomarker Tests 98%
- Plasma p-tau217 in Alzheimer’s disease: Lumipulse and ALZpath SIMOA head-to-head comparison 97%
- Peripheral inflammatory markers relate to central inflammation and survival in syndromes associated with frontotemporal lobar degeneration 96%