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.

Molecular Psychiatry
|June 23, 2026
PubMed

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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