Neuroimaging-derived biological brain age and its associations with glial reactivity and synaptic dysfunction cerebrospinal fluid biomarkers

Cumplido-Mayoral, Irene; Sánchez Benavides, Gonzalo; Vilor Tejedor, Natàlia, 1988-; López Martos, David; Brugulat Serrat, Anna, 1986-; Milà Alomà, Marta; Falcón, Carles; Cacciaglia, Raffaele; Minguillón, Carolina; Fauria, Karine; Kollmorgen, Gwendlyn; Quijano Rubio, Clara; Molinuevo, José Luis; Grau, Oriol (Grau Rivera); Suárez-Calvet, Marc; Vilaplana, Verónica; Gispert, Juan Domingo; ALFA Study; ADNI

doi:http://dx.doi.org/10.1038/s41380-025-02961-x

Neuroimaging-derived biological brain age and its associations with glial reactivity and synaptic dysfunction cerebrospinal fluid biomarkers

Citation

Cumplido-Mayoral I, Sánchez-Benavides G, Vilor-Tejedor N, López-Martos D, Brugulat-Serrat A, Milà-Alomà M, et al. Neuroimaging-derived biological brain age and its associations with glial reactivity and synaptic dysfunction cerebrospinal fluid biomarkers. Mol Psychiatry. 2025 Aug;30(8):3718-28. DOI: 10.1038/s41380-025-02961-x

Abstract

Magnetic resonance Imaging (MRI)-derived brain-age prediction is a promising biomarker of biological brain aging. Accelerated brain aging has been found in Alzheimer's disease (AD) and other neurodegenerative diseases. However, no previous studies have investigated the relationship between specific pathophysiological pathways in AD and biological brain aging. Here, we studied whether glial reactivity and synaptic dysfunction are associated with biological brain aging in the earliest stages of the Alzheimer's continuum, and if these mechanisms are differently associated with AD-related cortical atrophy. We further evaluated their effects on cognitive decline. We included 380 cognitively unimpaired individuals from the ALFA+ study, for which we computed their brain-age deltas by subtracting chronological age from their brain age predicted by machine learning algorithms. We studied the cross-sectional linear associations between brain-age delta and cerebrospinal fluid (CSF) biomarkers of synaptic dysfunction (neurogranin, GAP43, synaptotagmin-1, SNAP25, and α-synuclein), glial reactivity (sTREM2, YKL-40, GFAP, and S100b) and inflammation (interleukin-6). We also studied the cross-sectional linear associations between AD signature and these CSF biomarkers, We further evaluated the mechanisms linking baseline brain-age delta and longitudinal cognitive decline by performing mediation analyses. To reproduce our findings on an independent cohort, we included 152 cognitively unimpaired and 310 mild cognitive impaired (MCI) individuals from the ADNI study. We found that higher CSF sTREM2 was associated with a younger brain-age after adjusting for AD pathology, both in ALFA+ cognitively unimpaired and in ADNI MCI individuals. Furthermore, we found that CSF sTREM2 fully mediated the link between older brain-age and cognitive decline in ALFA+. In summary, we showed that the protective microglial state reflected by higher CSF sTREM2 has a beneficial impact on biological brain aging that may partly explains the variability in cognitive decline in early AD stages, independently of AD pathology.

Other authors

Cumplido-Mayoral, Irene; Sánchez Benavides, Gonzalo; Vilor Tejedor, Natàlia, 1988-; López Martos, David; Brugulat Serrat, Anna, 1986-; Milà Alomà, Marta; Falcón, Carles; Cacciaglia, Raffaele; Minguillón, Carolina; Fauria, Karine; Kollmorgen, Gwendlyn; Quijano Rubio, Clara; Molinuevo, José Luis; Grau-Rivera, Oriol; Suárez-Calvet, Marc; Vilaplana, Verónica; Gispert López, Juan Domingo; ALFA Study; ADNI