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

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.

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Publication Details

Journal
Molecular Psychiatry
Published
2025-04-12
DOI
https://doi.org/10.1038/s41380-025-02961-x
Citations
4
Primary Topic
Neuroinflammation and Neurodegeneration Mechanisms
Type
article
Field-Weighted Citation Impact
3.37

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article

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

Marta Milà‐Alomà, Karine Fauria, Gonzalo Sánchez‐Benavides, Carles Falcón et al.
4 citations
Molecular Psychiatry
Neuroinflammation and Neurodegeneration Mechanisms
3.37
article

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

Marta Milà‐Alomà, Karine Fauria, Gonzalo Sánchez‐Benavides, Carles Falcón, Anna Brugulat‐Serrat, José Luís Molinuevo, Raffaele Cacciaglia, Verónica Vilaplana, Juan Domingo Gispert, Irene Cumplido‐Mayoral, Oriol Grau‐Rivera, Gwendlyn Kollmorgen, Natàlia Vilor‐Tejedor, Marc Suárez‐Calvet, Carolina Minguillón, David López‐Martos, Clara Quijano‐Rubio
article en
4 citations

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.

Molecular PsychiatryVol. 30(8)
Roche (Switzerland) (CH), Radboud University Nijmegen (NL), Universitat Pompeu Fabra (ES), University of California, San Francisco (US), Instituto de Salud Carlos III (ES), University of California System (US), Roche Pharma AG (Germany) (DE), Centro Nacional de Epidemiología (ES), Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (ES), Pasqual Maragall Foundation (ES), Barcelonaβeta Brain Research Center (ES), Spanish National Centre for Cardiovascular Research (ES), Hospital Del Mar (ES), Centre for Genomic Regulation (ES), Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (ES), Global Brain Health Institute (US), Hospital del Mar Research Institute (ES), Northern California Institute for Research and Education (US), Universitat Politècnica de Catalunya (ES)
Alzheimer's Association, European Commission, Ministerio de Ciencia e Innovación, Fundación Bancaria Caixa d'Estalvis i Pensions de Barcelona, Instituto de Salud Carlos III, Agencia Estatal de Investigación
Zero hunger
Openalex Percentile: Top 8%
Neuroinflammation and Neurodegeneration Mechanisms
3.37
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