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Özlü, Serap ORCID logoORCID: https://orcid.org/0009-0007-3134-6580; Dyrba, Martin ORCID logoORCID: https://orcid.org/0000-0002-3353-3167; Grazia, Alice ORCID logoORCID: https://orcid.org/0000-0001-8861-3183; Brosseron, Frederic ORCID logoORCID: https://orcid.org/0000-0003-3137-7516; Buerger, Katharina ORCID logoORCID: https://orcid.org/0000-0002-5898-9953; Dechent, Peter ORCID logoORCID: https://orcid.org/0009-0006-4005-3352; Düzel, Emrah ORCID logoORCID: https://orcid.org/0000-0002-0139-5388; Ewers, Michael ORCID logoORCID: https://orcid.org/0000-0001-5231-1714; Fliessbach, Klaus ORCID logoORCID: https://orcid.org/0000-0002-0183-7510; Glanz, Wenzel ORCID logoORCID: https://orcid.org/0000-0002-5865-4176; Hansen, Niels ORCID logoORCID: https://orcid.org/0000-0001-5785-9594; Hellmann-Regen, Julian ORCID logoORCID: https://orcid.org/0000-0003-0411-9204; Hetzer, Stefan ORCID logoORCID: https://orcid.org/0000-0002-1773-1518; Janowitz, Daniel ORCID logoORCID: https://orcid.org/0009-0003-4090-547X; Kilimann, Ingo ORCID logoORCID: https://orcid.org/0000-0002-3269-4452; Kronmüller, Marie; Laske, Christoph ORCID logoORCID: https://orcid.org/0009-0009-3434-936X; Lüsebrink, Falk; Mengel, David ORCID logoORCID: https://orcid.org/0000-0002-4133-7182; Perneczky, Robert ORCID logoORCID: https://orcid.org/0000-0003-1981-7435; Peters, Oliver ORCID logoORCID: https://orcid.org/0000-0003-0568-2998; Priller, Josef ORCID logoORCID: https://orcid.org/0000-0001-7596-0979; Ramirez, Alfredo ORCID logoORCID: https://orcid.org/0000-0003-4991-763X; Rauchmann, Boris-Stephan ORCID logoORCID: https://orcid.org/0000-0003-4547-6240; Rostamzadeh, Ayda ORCID logoORCID: https://orcid.org/0000-0001-5189-134X; Schneider, Anja ORCID logoORCID: https://orcid.org/0000-0001-9540-8700; Sodenkamp, Sebastian; Spottke, Annika ORCID logoORCID: https://orcid.org/0000-0001-9854-2972; Spruth, Eike Jakob; Synofzik, Matthis ORCID logoORCID: https://orcid.org/0000-0002-2280-7273; Wiltfang, Jens ORCID logoORCID: https://orcid.org/0000-0003-1492-5330; Heneka, Michael T; Jessen, Frank ORCID logoORCID: https://orcid.org/0000-0003-1067-2102 und Teipel, Stefan ORCID logoORCID: https://orcid.org/0000-0002-3586-3194 (2026): CSF biomarkers of neuroinflammation are associated with regional atrophy. In: Journal of Neurology, Bd. 273, 46 [PDF, 1MB]

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Abstract

Background

Neuroinflammation is central to Alzheimer’s disease (AD) pathogenesis, yet its contribution to region‐specific brain atrophy remains unclear. We examined whether cerebrospinal fluid (CSF) biomarkers predict longitudinal atrophy in the hippocampus and basal forebrain and mediate the impact of AD pathology.

Methods

Data from 227 DELCODE participants with baseline CSF measures and longitudinal structural MRI were analyzed. Four latent factors (synaptic, microglia, chemokine/cytokine, complement) were derived to capture shared variance across biomarkers. Latent factors represent unobserved biological domains inferred from related CSF markers. In addition, four single biomarkers (neurogranin, sTREM2, YKL-40, ferritin) were tested separately. Regional atrophy rates were estimated using linear mixed-effects models including biomarker × time, A/T classification, diagnosis, and covariates (age, sex, education, ApoE-ε4). Individual slopes were then entered into mediation models.

Results

Higher synaptic latent factor (β = − 0.019, pFDR = 0.021) and YKL-40 (β = − 0.020, pFDR = 0.025) significantly predicted hippocampal atrophy. Only these two markers remained significant after correction for multiple comparisons. Mediation analyses revealed significant indirect effects of the synaptic latent factor and YKL-40 on hippocampal atrophy across all A/T groups. No biomarker was associated with basal forebrain atrophy (pFDR > 0.05).

Conclusions

Latent factors captured shared biological variance across related biomarkers and provided a more robust representation of underlying biological domains than single biomarkers. This approach identified synaptic dysfunction and astroglial activation as key links between AD pathology and hippocampal neurodegeneration. These findings highlight synaptic and glial pathways as promising targets for disease-modifying interventions.

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